Scientific Data DocumentationHospital Stays, 1987
This compressed file contains 2 data sets for the NMES 1987 hospital stay data:
DATA SRCDATA PURCHASE AND USE AGREEMENT Individual identifiers have been removed from the micro-data tapes available from the Agency for Health Care Policy and Research through NTIS. Nevertheless, under sections 308(d) and 903(c) of the Public Health Service Act (42 U.S.C. 242m and 42 U.S.C. 299 a-1), data collected by the Agency for Health Care Policy and Research may not be used for any purpose other than the purpose for which it was supplied. The information on the micro-data tapes available for purchase was supplied to the Agency for statistical summaries and health services research. It is necessary, therefore, that the individual ordering such micro-data tapes sign the following assurance: The undersigned gives assurance that individual elementary unit data on the micro-data tapes being ordered will be used solely for statistical summaries and health services research. BACKGROUND General Information This documentation describes one in a series of public use tapes issued by the Agency for Health Care Policy and Research with data from the National Medical Expenditure Survey. This survey provides extensive information on health expenditures by or on behalf of families and individuals, the financing of these expenditures, and each person's use of services. The National Medical Expenditure Survey (NMES) is a research project of the Center for General Health Services Intramural Research, Agency for Health Care Policy and Research. Since the 1970s the intramural research program has given particular emphasis to studies of the use and financing of health services. The first series of studies (NMES-1) employed data collected in the 1977 National Medical Care Expenditure Survey. NMES-1 produced information on a broad range of issues such as the number and characteristics of the uninsured and the underinsured, the tax implications of excluding employer-paid premiums for health insurance from employee income, and the differences among socioeconomic and demographic groups with respect to the use of health services. A new series of studies (NMES-2) was initiated in the 1980s. These studies also involve a major data collection effort - the 1987 National Medical Expenditure Survey. Like its predecessor, NMES-2 provides information about the non-institutionalized population. In addition and in contrast to the earlier studies, NMES-2 also provides extensive information on the population residing in or admitted to nursing homes and facilities for the mentally retarded. The Household Component of NMES-2 is based on a national probability sample of the civilian, noninstitutionalized population living in the community. The sample is designed to provide a larger representation of population groups of special policy interest to the Federal Government than would have been obtained from a random sample. These groups include poor and low income families, the elderly, the functionally impaired, and black and Hispanic minorities. A Survey of American Indians and Alaska Natives includes a separate sample of American Indians and Alaska Natives living on or near Federal reservations and eligible to receive care provided or supported by the Indian Health Service. The Institutional Population Component includes a sample of persons residing in or admitted to nursing and personal care homes and facilities for the mentally retarded during 1987. A separate Medicare Records Component provides claims data on all Medicare beneficiaries included in the household and institutional samples. Together, the major components of NMES-2 contain information to make national estimates of health status, use of health services, insurance coverage, expenditures, and sources of payment for the civilian population of the United States during the period from January 1 to December 31, 1987. Oversampling of population groups of special interest makes possible in-depth studies of these groups. The database can also be used to assess the implications of recent or proposed changes in public or private health care benefits, methods of financing both health care and insurance coverage, various public and private subsidies for health care, and employee compensation arrangements. Household Survey Each family in the Household Survey was interviewed four times over a period of 16 months to obtain information about the family's health and health care during calendar year 1987. Baseline data on household composition, employment, and insurance were updated at each interview, and information was obtained on illnesses, use of health services, and health expenditures for each family member. A fifth round of interviews was conducted in the spring of 1988 to obtain information on the tax filing and medical deductions of each household. A long term care supplement was administered during the first and fourth rounds of interviewing to permit estimates of persons with functional disabilities and the use of formal services or long term care provided by family or friends. In order to verify and supplement the information provided by household respondents, the Household Component of NMES-2 included two additional surveys. The Medical Provider Survey obtained information from the physicians, hospitals, outpatient clinics, emergency rooms, and home health agencies used by the household sample during 1987. The Health Insurance Plan Survey obtained information on the private insurance of persons in the household sample, including premiums paid by all sources and the provisions of their coverage. Survey of American Indians and Alaska Natives (SAIAN) This component was conducted with the same data collection instruments and interview procedures as the Household Component and covered the same reference period, calendar year 1987. SAIAN also included follow-up surveys to medical providers and health insurers. Consequently, the data can be used to compare American Indians and Alaska Natives eligible for care from the Indian Health Service and the general U.S. population with regard to such issues as health status, use of health services, and access to care. Information was obtained on services provided outside the Indian Health Service and on other sources of health care financing available for persons eligible for care from the IHS. Institutional Population Component The Institutional Population Component of NMES-2 included persons resident in or admitted to nursing and personal care homes and facilities for the mentally retarded at any time in calendar year 1987. This survey provides information on the functional status, use of services, and health expenditures of the institutionalized population. The Survey in Institutions (SII) collected data from facility administrators and designated staff on the characteristics of facilities and charges. The Survey of Next of Kin (SNK) obtained data from the respondent's next-of-kin or other knowledgeable persons in the community on the financial status, insurance coverage, and personal history of the institutionalized person. Survey Samples All survey components were designed to provide statistically unbiased estimates that are representative of the civilian population of the United States in 1987. The Household Survey sample is a stratified multistage area probability design with a total sample of roughly 35,000 individuals, in 14,000 households, who completed all rounds of data collection. Oversampling of the population subgroups of special policy interest was based on a separate screening interview conducted in the fall of 1986 with a sample of 36,000 addresses. The Survey of American Indians and Alaska Natives adopted a multistage area probability sample design using an IHS- constructed frame of counties with individuals eligible for services provided or supported by the Indian Health Service and living on or near Federally recognized reservations or in Alaska. An initial screening interview was completed in approximately 13,700 dwelling units to identify the eligible sample. The screening yielded approximately 1,950 households responding for the full year and approximately 6,500 SAIAN persons responded for their entire period of eligibility in 1987. The institutional population sample was based on a three stage probability design. The first two stages were used to select facilities; the final stage sampled facility residents present on January 1, 1987. These facilities were also used to obtain a sample of admissions between January 1, 1987, and December 31, 1987. Based on sampling specifications the Institutional Population Component includes 1,500 facilities, 800 nursing homes and 700 facilities for the mentally retarded. There is a total of approximately 10,100 persons in the sample including both residents and new admissions. This includes 5,700 persons in nursing homes and 4,400 persons in facilities for the mentally retarded. The sample frame for facilities in the Institutional Population Component was derived from the 1986 Inventory of Long- Term Care Places. Taken in conjunction, the NMES-2 surveys yield comprehensive, population-based information that will support studies of most population groups of policy interest, including those presently outside the scope of various public and private financing mechanisms. In contrast to information obtained from program or provider statistics, NMES-2 data can be used to analyze all public and private sources of coverage for health care services and out-of-pocket payments by individuals and families. The Agency for Health Care Policy and Research sponsored the NMES-2 data collection activities. A substantial part of the support for the Survey of American Indians and Alaska Natives was provided by the Indian Health Service. The Health Care Financing Administration, the National Center for Health Statistics, and the Office of the Assistant Secretary for Planning and Evaluation provided extensive technical assistance during the development of the survey design and instruments. Interviews were conducted by the primary contractor, Westat, Inc., Rockville, Maryland and by The National Opinion Research Center at the University of Chicago; the Council of Energy Resource Tribes, Denver, Colorado; and Stephen R. Braund and Associates, Anchorage Alaska. Data processing during the analysis stage of the project is being provided by Social and Scientific Systems, Inc., Bethesda, Maryland. The data were collected under the authorities of the Public Health Service Act and are being edited and published in accordance with the confidentiality provisions of that Act and the Privacy Act. Additional information on NMES-2 is available from Daniel C. Walden, Ph.D., Director of the Division of Medical Expenditure Studies; Center for General Health Services Intramural Research, Agency for Health Care Policy and Research; Executive Office Center, 2101 E. Jefferson Street, Suite 500, Rockville, MD 20852. (301/227-8400). TECHNICAL AND PROGRAMMINGINFORMATION General Information This documentation describes one in a series of public use tapes from the Household Survey of the 1987 National Medical Expenditure Survey (NMES). The tape provides information and related documentation on the use of and expenditures for inpatient hospital stays in calendar year 1987. The data file contains one record for each hospital stay for each eligible person in the Household Survey who reported having had at least one hospital stay during 1987. In addition to expenditures related to the stay, each record contains selected person-level demographic information for the respective patient, household reported medical conditions and procedures associated with the hospitalization, and information on length of stay. The data file can be used to construct summary variables of expenditures, sources of payment, and related aspects of hospital inpatient care. Information on persons in the Household Survey without a hospitalization in 1987 is provided in NMES Public Use Tape 13 (Rounds 1-4 Household Survey: Population Characteristics and Person-level Utilization), which also contains annual person-level information on other health services use as well as detailed demographic, employment, insurance, round specific eligibility status indicators, and reference period dates for the entire civilian noninstitutionalized population. The data on this tape are being released as EBCDIC files only. The tape also includes an EBCDIC file containing programming statements required to create a SAS data set and a SAS format library for the data file on the tape. The records on this file can be linked to all NMES public use tapes from the Household Survey by using the person identifier (PIDX). The following documentation offers a brief overview of the type and level of data provided, the content and structure of the data file and the codebook, and programming information. It contains the following sections: Data File Contents and Codebook Structure Coding, Edits and Imputations Variable Naming and Codebook Conventions Sample Design, Estimation and Sampling Weights, and Variance Estimation Programming Information References Data Dictionary Alphabetical and Position Listing of Variables Codebook Codebook Notes More detailed information on NMES survey instruments and data collection procedures, variance estimation programs, coding and related information, and a list of released NMES Public Use Tapes are in Attachments 1 to 5. Attachment 6 contains a catalogue of data items released on this and other NMES public use tapes. It is supplied to guide the user to the appropriate public use tape for the data items of interest in the NMES Household Survey. All attachments are provided in hard copy only. Data File Contents and Codebook Structure This public use tape contains one data file. To expedite release of hospital inpatient data and ensure data processing efficiency, the file structure generally reflects the structure of the household questionnaire (see Attachment 3 for the instrument used). The file contains information on hospital stays, household reported main reason for admission and related health conditions, length of stay, procedures performed, expenses for basic hospital and for inpatient physician services, and sources of payment. These data were obtained in four rounds of interviews covering calendar year 1987 and in the NMES Medical Provider Survey (see Appendix 1). The file contains 5,432 records, or one record for each specific hospital stay by a sample person who responded for their entire period of NMES eligibility during 1987. Hospital stays of zero nights (stays with the same admission and discharge date) are included. Obstetrical stays for deliveries are counted multiple times; one for the mother and one for each newborn. Each record on the data file contains the following information: Unique person and record identifiers Indicator of the round of data collection Selected demographic variables Variables based on questionnaire items G1-G77 in the hospital inpatient stay booklet. These include household reported conditions associated with the hospital stay coded to ICD-9, as well as codes for procedures performed, dates of admission and discharge, expenses and sources of payment as well as associated imputation flags. Weight and variance estimation variables Detailed information on length of stay is described in Section 2.1. Detailed information on coding of medical conditions and procedures is provided in Section 2.2. The construction of the expense and source of payment variables and associated imputation procedures are described in Section 2.3. Miscellaneous edits and omissions are discussed in Section 2.4. Additional details for selected variables are also provided in the Codebook Notes, which immediately follow the codebook. Coding, Edits and Imputations Length of Stay Each record contains two edited variables for length of hospital stay (NUMNGHTX and NUMNT87X). The variable NUMNGHTX represents the total number of nights per hospital stay for all hospitalizations in 1987, including stays that began in 1986 or extended into 1988. The variable, NUMNT87X, represents only the number of nights spent in the hospital in 1987. The method of constructing these variables was the same. Hospital stay data were obtained from linked records in the NMES Medical Provider Survey (MPS), which obtained provider information for hospital stays reported by household respondents (see section 4.1.2 and Appendix 1.B). If MPS length of stay information was not available, the length of stay as reported by the household respondent was used. If neither was available, length of stay was imputed, based on known values for similar hospitalizations. A weighted sequential hot-deck procedure was used to impute data for hospital stays with complete information to cases with missing data but similar characteristics. Variables with known values were used to form groups of donors and groups of recipients. Within such groups, data from donors were assigned to recipients, taking into account the weights associated with the complex NMES household survey design. Source data for the imputation were MPS data, when available, or the Household Survey otherwise. Classification variables in this imputation were household-reported reason for hospitalization, patient residence in the West Census Region versus other regions, household reported psychiatric conditions as reason for admission, and the number of physicians billing for the stay. Age, number of difficulties with activities of daily living, perceived general health status, source of payment, and selected other conditions were used as sort variables. The file contains a flag (NUMNTFLG and NUM87FLG) for each length of stay variable indicating whether length of stay was imputed or obtained from the Medical Provider Survey or a household respondent. Medical Conditions and Procedures Medical Condition Coding This file contains up to four condition codes per hospital stay record. Records for normal deliveries and healthy newborn babies have no condition codes attached. For each hospital stay reported in the Household Survey, information on reasons for hospitalization in terms of related medical conditions, medical diagnosis, if any, related history, and parts of the body affected by the condition were obtained. This respondent- reported information was used to code each condition for the reported hospitalization into one of the codes of the 9th Revision of the International Classification of Diseases, revised for use in the National Health Interview Survey (NHIS; NCHS, 1979). The revision takes into account the experience of the National Center for Health Statistics, the sponsor of the NHIS, in coding household-reported conditions. One major revision of the ICD-9 coding procedure in surveys using the NHIS system is the introduction of X-codes. These codes represent impairments such as blindness, deafness, and paralysis. Coding instructions directed coders to favor X-codes over other ICD-9 codes that could be applied to a particular condition. Attachment 4.A provides details of the NHIS coding scheme for X-codes. It is important to note that the condition data on each record and the information used to code medical conditions were provided exclusively by the household respondent. Any information regarding medical conditions related to the hospital stay that was obtained through the Medical Provider Survey (MPS) was not merged onto this file. Procedure Coding This file contains up to 3 procedure codes per record. For each hospital stay reported in the Household Survey, questions were asked about operations or surgical procedures performed during that stay. The respondent-reported procedure was used to code one of the codes in the 9th Revision of the International Classification of Diseases, Clinical Modification, 3 (ICD9-CM3) revised for use in the National Health Interview Survey (NHIS; NCHS, 1979). The revision only uses the first two digits of the ICD9-CM3 which indicates the body system or region on which the procedure was performed. For miscellaneous diagnostic and therapeutic procedures, the code represents a general procedure class, for example, "diagnostic radiology" or "physical or rehabilitative procedures". Attachment 4B provides the codes for medical procedures. Quality Control Coding of medical conditions and procedures was conducted by trained medical coders. Two-stage verification of the coding was performed first by supervisors and then by trained nosologists. Coders were required to maintain an error rate at or below 2 percent throughout the coding process. No additional editing or imputation was performed on these variables. Each hospitalization record can have up to four ICD-9 condition codes (or three procedure codes) attached to it. The first condition (or procedure) on the record does not necessarily reflect the primary condition (or procedure) associated with the stay and, more generally, the order of the conditions (or procedures) on the record does not reflect importance or severity. In addition, there is a small probability that duplicate conditions (or procedures) may appear for the same record, since editing for duplications was not done. Expenses and Sources of Payment Expenses General Information The file contains three expense variables per stay: basic hospital facility expenses; expenses for physicians who billed separately for any inpatient services provided during the hospital stay; and total expenses, which sums facility and physician expenses. Expenses refer to charges with two exceptions. First, they reflect payments rather than charges when these were reduced to the amounts allowed by third-party payers, such as private health insurers, Medicare, or Medicaid. Second, a dollar value was assigned to the facility expense variable in all cases and to the physician expense variable in some cases where no charge was specified. For example, there is no stated total charge (although there may be copayments) for stays by individuals insured through an HMO, where care is financed through a prepaid capitation payment. Also, there may have been no specified charge for stays financed through government grants, charities, and other non-patient related revenue sources. In these cases, an expense value was imputed from the expenses associated with otherwise similar stays. This approach was also used for most flat fee arrangements. An example is a lump-sum charge applied to a number of different services, for example, a series of outpatient visits associated with an inpatient stay, where there was no reasonable method of allocating that charge across each of them. For some obstetrical stays, flat fees for physician expenses were allocated across different services. Facility Expense Both unedited (EXPFAC) and edited (EXPFACX) facility expense variables are included on this file. Hospital facility expenses are all expenses for direct hospital care, including room and board, diagnostic and laboratory work, x-rays and similar charges, as well as any physician services included in the hospital charge. These facility expense data were primarily obtained from a linked record in the Medical Provider Survey (MPS). If MPS data were not available, facility expenses as reported by the household respondent were used. Expenses for each hospital stay were imputed on a per diem basis where neither was available, or for extreme values reported by household respondents. Missing values for facility cost per day were imputed, based on known values for similar hospital stays where expenses were derived from the Medical Provider Survey (MPS). Length of stay, (NUMNGHTX), source of payment, number of physicians billing for inpatient services, and SMSA residence were used as classification variables. Sort variables were: expected sources of payment, surgery performed during the stay, patient age and sex, household reported reason for admission, discharge status (live or deceased), residence in the West Census Region versus other regions, and admission from the hospital emergency room. The imputed expense per day was then multiplied by nights of stay (if NUMNGHTX > 0) to obtain total facility expense for that stay. If NUMNGHTX was zero, then the imputed expense per day was used. Inpatient Physician Expense Each record contains one edited variable for the sum of all expenses for physicians who billed for inpatient services linked to the hospital stay (EXPDRX). Because household respondents generally do not accurately report expenses for physicians seen in conjunction with a hospital stay, charges for these services were derived entirely from the Medical Provider Survey (MPS). A zero dollar value for inpatient physician expense was assigned for a number of records; this reflects one or more of the following: all physician charges were included in the facility expense; the stay was for less than 24 hours with no separate physician charges for inpatient visits or for post-surgical follow-up; or the record relates to a normal newborn for whom physician charges are included on the record for the mother's stay. In the Medical Provider Survey, physicians who were listed in the medical records for a given hospitalization were enumerated by specialty and contacted to determine the charges rendered for the hospital episode. When only partial physician charges could be obtained for a given hospital stay, the missing elements were imputed using the median MPS charge for a physician of that specialty. In cases where no charges were obtained but the physicians could be enumerated, a median MPS charge was also used to impute physician expenses. When no MPS data were available for a stay, the total physician charge was imputed using the same procedures as those described for the facility expense variable. An imputation flag indicates for each record whether the physician expenditure data were obtained from the MPS or imputed using the MPS as the source of data. Hospital Expense The total hospital expense variable (EXPTOTX) is the sum of facility expense plus physican expense for the hospital inpatient stay. Excluded from this total are any expenses for private duty nursing in cases where private duty nurses billed separately from the hospital. Sources of Payment Sources of payment were obtained from the Household Survey or imputed. Each record on the file contains constructed variables showing the percent of the expense paid by various sources. Again, there are two sets of source of payment variables: one for hospital facility expense and one for associated inpatient physician expense. Each set contains 9 variables which sum to 100 percent, corresponding to the percent paid by each of the following sources: Out of pocket by user or family; Private insurance; Medicaid; Medicare; Other Federal (CHAMPUS, CHAMPVA, Supplemental Security Income (SSI), Indian Health Service facility or contract, Intertribal Council, Alaska Native Corporation, Veteran's Administration, any military and other federal programs such as free government screening services and NIH care); Other State and local medical assistance (such as community health centers but excluding local and state employment related insurance and welfare programs); Workman's compensation; Free from provider, including professional courtesy and bad debt; and Other, which includes automobile and car insurance, other kinds of insurance not specified, company (where the company is not the insurer or employer), school (where school is not the insurer or employer), union (where union is not the insurer or empoyer), charity, friend, foreign government or not otherwise specified. Based on household reports of the percent or amount paid by each of these sources of payment, the source of payment variables were edited and, where necessary, imputed to correct for the following: (1) the household reported payer was incompatible with enrollment in public and private insurance programs reported for the person; (2) the person was not billed for the hospitalization and/or associated physician services so that no expense or sources of payment were reported; (3) the sum of the reported sources did not equal 100 percent; or (4) the sources of payment or the amounts or proportions of the payment were partially or completely missing. The inpatient physician source of payment variables were constructed based upon Household Survey reports of the number of physicians providing care. Assuming that all physicians associated with a stay would have similar source of payment distributions, the physician source of payment variables for each stay were constructed as the average for all physicians associated with the stay for whom source of payment data were not missing. When source of payment data were missing for all physicians associated with a stay the source of payment data were imputed. The general imputation strategy used a weighted sequential hot deck procedure. The classification variables used in the source of payment imputation for facility and physician included insurance coverage, region of residence, month of stay, length of stay, whether the respondent had been able to report the charge for the hospitalization, and union membership status of the primary insured. In addition, stays missing source of payment information and for which the Veteran's Administration was the site of care (HINVA = 1 or question G20 = 4), were imputed 100 percent to the other federal category. Each record with imputed values contains corresponding imputation flags. Other Edits and Omissions Many of the data items from the hospital inpatient stay booklet were omitted from this file because they were components or probes used to construct the summary variables provided. Omitted variables were not considered to be of independent analytic interest but rather were methodological probes to insure that the respondent had provided complete information. The summary variables included on this file reflect all of the components collected in the hospital stay section of the questionnaire. Unless indicated, all Hospital Stay Booklet variables are unedited. Skip patterns associated with unedited variables have not been reconciled. No editing was performed on the round indicator that is on this file. Editing was performed on all link variables except PLACEIDX (see Codebook Notes section). This data file contains 497 records where the length of the hospital stay was zero nights (NUMNGHTX = 0). These records were not used in the construction of the person-level hospital inpatient use variables on NMES Public Use Tape 13, where they were considered hospital outpatient department visits. (See section 4.2.1) Variable Naming and Codebook Conventions The codebook provides unweighted and weighted frequencies for all variables on the file. The codebook contains variable information and frequency distributions for a total of 5,432 records. Weighted, these records represent 34,436,582 hospital inpatient stays by 26,370,883 people (4,051 unweighted persons). Complete variable listings in alphabetical order and by file position are provided for cross-reference. Most variable descriptions in the codebook are abbreviated versions of questionnaire items, preceded by indicators of item number. A copy of the hospital inpatient stay booklet is included as Attachment 3 to this public use tape to permit a full understanding of the content and wording of each item, the structure of questionnaire sections, skip patterns and administrative information. The codebook describes an EBCDIC data set and provides the following programming identifiers for each variable: IDENTIFIER DESCRIPTION NAME Variable name (maximum of 8 characters) DESCRIPTION Variable descriptor (maximum of 40 characters) FORMAT Number of bytes and decimal places TYPE Type of data: numeric (indicated by NUM) or character (indicated by CHAR) START Beginning column position of variable in the record END Ending column position of variable in the record NOTES Indicator of an explanatory note(s) corresponding to the variable In general, variable names reflect the content of the variable, with an 8 character limitation. For edited versions of original variables, the edited variable name is identical to the original variable with an "X" appended (and truncated when necessary to comply with the 8 character limitation). For variables corresponding to specific questionnaire items, the question number is included in the variable label. The following reserved code values are used: VALUE DEFINITION -1 INAPPLICABLE Question was not asked due to skip pattern -5 NEVER KNOW Question was asked and respondent did not know and never will know the answer -7 REFUSED Question was asked and respondent refused to answer the question -8 DK Question was asked and respondent did not know the answer -9 NOT ASCERTAINED Interviewer did not record the data Sample Design, Estimation Procedures, and Sampling Weights Sample Design and Response Rates Household Survey The NMES household survey was designed to produce national estimates representative of the civilian noninstitutionalized population of the United States as of 1987. For sample selection, the household component of NMES used two independent national multistage area samples from Westat, Inc. and the National Opinion Research Center at the University of Chicago. To improve the quality of the data and to allow for analysis of trends during 1987, it was conducted as a panel survey over four core rounds of interviewing. Sampling specifications required the selection of about 17,500 households for the first core household interview. Data were obtained for about 86 percent of eligible households in the first interview and 80 percent by the fourth interview. Approximately 6 percent of all survey participants provided data for only some of the time in which they were eligible to respond. These persons were considered total nonrespondents and a standard nonresponse weight adjustment was used to account for possible selection bias in this respect. For a detailed description of the survey design and of sampling, estimation, and adjustment methods see Cohen, DiGaetano, and Waksberg (1991). The Medical Provider Survey The NMES Medical Provider Survey (MPS) was primarily designed to reduce the bias associated with national medical expenditure estimates derived from household reported data; this bias is a function of item nonresponse and poor quality data. By selec- tively targeting individuals who were most likely to misreport or not possess adequate knowledge about their medical expenditures and medical care events that were expected to be associated with expense data of questionable quality, optimal use could be made of medical provider reported data to improve the accuracy of national medical expenditure survey estimates. See Attachment 1B for a full discussion of MPS design and response rates. Estimation and Sampling Weights The application of appropriate sampling weights is essential to the derivation of estimates when using this public use file. The weight provided for use with hospital stay data, INCALPER, reflects adjustments for complete nonresponse to the NMES survey and poststratification to the Census Bureau 1987 Current Population Survey (CPS) cross-classified by age, race/ethnicity, gender and poverty status. All persons who were eligible at any time during 1987 and responded for the entire period of their eligibility have positive INCALPER weights. Only the 4,051 persons who have positive INCALPER weights and who had at least one hospital stay are represented on this file. In order to produce national estimates related to the frequency, doctor expenses, facility expenses, total expenses and sources of payment for hospital care, the value in each record contributing to the estimates must be multiplied by the weight (INCALPER) contained on that record. It should be noted that the weight, INCALPER, can also serve as a person-level estimation weight (see NMES Public Use Tape 13). For estimates involving persons in the Household Survey not on this file (e.g., persons without a hospital stay in 1987) or for detailed person-level characteristics of users, including round specific eligibility status and reference period dates, the data on this file should be merged with NMES Public Use Tape 13 (see section 3.3) using the person-level identification variable PIDX. Basic Estimates of Utilization and Expenditures General Information This file is constructed for efficient estimation of utilization and expenditures for hospital care. Such estimates include the total number of and expenses for hospital stays. Basic Estimates of Utilization In order to estimate the total number of hospital stays, regardless of the length of the hospital stay, simply sum the weight INCALPER across all records. This file includes hospital stay records for which the length of stay is zero nights (i.e. stay with same day admission and discharge). There are two variables on this file that measure the length of a hospital stay (NUMNGHTX and NUMNT87X; see Section 2.1). Either of these variables can have a value that indicates the length of the hospital stay was zero nights. In order to replicate hospital inpatient utilization data provided on NMES Public Use Tape 13, records with zero night stays (specifically records with NUMNGHTX = 0) should be excluded from the estimate (weighted, the number of hospital stays with at least one night in the hospital are 31,225,348, by 24,169,932 people; unweighted number of persons are 3,719). (In order to replicate the variable HOSPNGHT on Tape 13, the variable NUMNGHTX should be used.) It should be noted that on the current file, stays for deliveries are counted as multiple stays; one for the mother and one for each newborn. To exclude the 500 newborns (3,690,243 weighted stays) from the estimate of hospital stays, records with RSNINHOS = 5 should be dropped. (However, the expenditure portion associated with newborns should be added to the mother's expenditures when estimating hospital expenses). Basic Estimates of Expenditures As an example of a basic expenditure estimate, the mean expense for a hospital stay regardless of length should be calculated as the weighted sum of the total expenses across all records in the file (sum of EXPTOTX x INCALPER) divided by weighted sum of the number of stays (sum of INCALPER). Thus, the numerator is the national estimate for total expenses for hospital care and the denominator is the population estimate for the total number of hospital stays. While most hospitalizations began and ended during 1987, there are 105 records on this file with admission dates prior to January 1, 1987 or with 1988 as the year of discharge. The edited expense variables on this file (EXPDRX, EXPFACX and EXPTOTX) reflect expenses for hospitalization from time of admission to time of discharge, regardless of the year (i.e., based on the variable NUMNGHTX). The variable NUMNT87X constrains the length of stay to only those hospital nights which occurred during calendar year 1987. To approximate expenses incurred only during 1987, one must first make new expense variables by calculating the relevant per night expense (e.g., EXPTOTX/NUMNGHTX) and multiplying by the restricted number of nights (NUMNT87X). There are some records for newborns on this file with values for doctor expense (EXPDRX) of zero because all doctor expenses associated with the birth appear on the mother's record. However in all instances the facility expense (EXPFACX) for the newborn is on the newborn's record. Subsetting to records based on characteristics of interest expands the scope of potential estimates. For example, the number of hospital stays of at least one night where the facility expense was paid for, totally or in part, by Medicare is estimated by summing INCALPER across all records where the length of stay (NUMNGHTX) is greater than zero and the Medicare source of payment variable (SOPFMCR) is greater than zero. Person-Based Ratio Estimates Person-Based Ratio Estimates for Persons with Hospital Stays When calculating ratio estimates where the denominator is persons, not hospital stays, care should be taken to properly define and estimate this denominator. If the estimate of interest, for example, is the mean expense for all hospital- izations across all persons with hospital stays, the following strategy should be considered: All expenses for a person on this file should be summed and a person-level total expense variable created (e.g., the variable X). The mean national estimate would then be derived by obtaining the ratio of the weighted sum of total expense per person across all unique persons on the file (sum of (INCALPER times X)) divided by the weighted number of unique persons on the file (sum of INCALPER). Only one INCALPER value for each PIDX (i.e., each person) should contribute to the calculation of the sums for both the numerator and the denominator. Person-Based Ratio Estimates Relative to the Entire Population If the ratio relates to the entire population, this file cannot be used to calculate the denominator, as only those persons with at least one hospital stay are represented on it. In this case, Public Use Tape 13 which has data for all sampled people, must be used to estimate persons. For example, to estimate the proportion of persons 65 and over with at least one hospitalization for a circulatory disease, the current file is used to calculate the numerator and NMES Tape 13 is used to calculate the denominator. Sampling Weights for Merging Previous Releases of NMES Household Data with the Current Tape There have been several previous releases of NMES Household Survey public use data (see Attachment 5). Unless a variable name common to several tapes is provided, the sampling weights contained on these tapes are tape-specific. The tape-specific sampling weights reflect minor adjustments to eligibility and response indicators due, among other factors, to birth, death, or institutionalization among respondents. Adjustments to the weights have also included post-stratification adjustments to control for the distribution of the U.S. noninstitutionalized population by poverty status and, where appropriate, nonresponse adjustments for round-specific supplemental questionnaires (e.g., the health status questionnaires). For estimates from a NMES data file that do not require merging with variables on other NMES files, the sampling weights provided on that tape are the appropriate weights. When merging a NMES household survey tape to another NMES household survey tape, the major analytical variable (i.e., the dependent variable) determines the correct sampling weight to use. For example, for 1987 estimates of hospital use or expenditures (from the present household survey tape) using health status variables from NMES Public Use Tape 9, the full-year weight, INCALPER, on the present tape should be used. By contrast, the weight HSQACCWT from Public Use Tape 9 should be used when the major dependent variable is health status and hospital utilization is an independent variable. Three exceptions to this general sampling weight and merger rule are noted below. For details concerning the appropriate weight specific to each tape, see the hard copy information specific to each tape. (1) For estimates of round one data from NMES Public Use Tape 3 (preliminary round one person characteristics and functional health status data), the round one weight (WGTR1PER) provided on NMES Public Use Tape 13 should be used. It should be noted that as a result of further response and eligibility edits, not all persons with positive round one weights on Tape 3 will link when merging it to Tape 13. In those instances, an imputation or weighting strategy can be developed to adjust for all persons with positive WGTR1PER weights. The preferred approach is to use the round one data and the round one weight released on NMES Tape 13. (2) For point in time estimates of persons with activity of daily living and instrumental activity of daily living difficulties (Tape 10), the round one or four weight (WGTR1PER and WGTR4PER, respectively), provided on NMES Tape 13 should be used in all instances of merged data regardless of the type of analysis. (3) NMES Public Use Tape 4, which contains prescribed medicine data for the Medicare beneficiary population, should not be merged with the current tape (or any other NMES public use file) because of adjustments to the sampling weights made after the release of Tape 4. It should be noted that the sampling weight provided on NMES Tape 9 (HSQACCWT) reflects nonresponse adjustments specific to the health status questionnaire and access to care supplement data on that tape. This further nonresponse adjustment requires additional considerations in merging Tape 9 with the current tape. (1) When making estimates for data in the current tape, the sampling weights provided on the current tape should be used. Since this would include persons not on Tape 9 in the analysis, data items from Tape 9 will have missing values for these persons. (2) When making estimates of health status or access to care indicators, the Tape 9 weight, HSQACCWT, should be used. This weight adjusts for the exclusion of persons included on the present tape. Variance Estimation Variance estimates of sample statistics require that the complex nature of the NMES Household Survey design be taken into account for hypothesis testing and for the construction of confidence intervals. To obtain variance estimates of statistics by means of statistical programs that use the Taylor series method of variance estimation, variables must be used that denote the strata and the primary sampling unit (PSU) within a given stratum. The variables STRATUMX and SPSU are these variables, respectively, and are included on the data file. There are variance estimation programs that account for the complex survey design. A list of available variance estimation programs is produced in Attachment 2. Programming Information These files are contained on a standard label, 9 track, 6250 bpi tape. The specifications for each file on the tape are as follows: FILE 1: Description: NMES Household Survey Hospital Inpatient Stay Data File Dataset Name: NMES.PUF144.DATA Number of Observations: 5,432 Number of Variables: 74 Record Length: 400 Block Size: 16,000 Record Format: FB FILE 2: Description: Technical and Programming Information and Data Dictionary for the NMES Hospital Inpatient Stay Data File Dataset Name: NMES.PUF144.DOC Record Length: 133 Block Size: 19,950 Record Format: FB FILE 3: Description: Additional Documentation for SAS Users for the NMES HHS Hospital Inpatient Stay Data File Dataset Name: NMES.PUF144.SRC Record Length: 80 Block Size: 800 Record Format: FB File 1 was created using the SAS (Statistical Analysis System, version 5.18) computer software, and converted to EBCDIC format. File 2 contains the technical documentation stored as an Operating System (OS) EBCDIC file containing ASA carriage control characters in the first byte in each record, which will direct the line printer to skip lines, begin a new page, etc. This technical documentation can be copied to disk and retrieved on- line to view, to modify with a text editor program such as WYLBUR, or to make additional copies. File 3 is an EBCDIC file containing the following additional documentation for SAS users: INPUT statement to create the SAS file, including a LABEL statement; SAS statements which assign a format name to each variable; and SAS statements describing formats. References Cohen, S.B., DiGaetano, R. and Waksberg, J. (1991). National Medical Expenditure Survey: Sample Design of the 1987 Household Survey, Methods 3. AHCPR Pub. No. 91-0037. DHHS: U.S. Public Health Service. National Center for Health Statistics (1979). Medical Coding Manual: National Health Interview Survey. DHHS: U.S. Public Health Service. DATA DICTIONARY Alphabetical Listing of Variables NMES EVENTS -- HOSPITAL STAYS CODEBOOK ALPHABETICAL AND POSITIONAL LISTING OF VARIABLES DATE: JUNE 1, 1992 -----ALPHABETICAL LISTING OF VARIABLES----- START END NAME DESCRIPTION ----- --- ---- ----------- 142 143 ANYOPER G16 OPERATION DURING HOSP STAY 128 129 BABYBORN G11 DELIVERY DURING HOSPITAL STAY 140 141 BABYNORM G14 BABY NORMAL 51 52 DATEBDD G2 DATE PID ENTERED HOSPITAL - DAY 49 50 DATEBMM G2 DATE PID ENTERED HOSPITAL - MONTH 53 54 DATEBYY G2 DATE PID ENTERED HOSPITAL - YEAR 57 58 DATEEDD G3 DATE PID LEFT HOSPITAL - DAY 55 56 DATEEMM G3 DATE PID LEFT HOSPITAL - MONTH 59 60 DATEEYY G3 DATE PID LEFT HOSPITAL - YEAR 9 11 EN EVENT NUMBER 20 31 EVENTIDX EVENT ID (ODU+PN+EN) 250 250 EXPDRFLG IMPUTATION FLAG FOR EDITED DOC EXPENSE 242 249 EXPDRX EDITED DOCTOR EXPENSE 150 158 EXPFAC G21 ORIGINAL FACILITY CHARGE 159 167 EXPFACX EDITED FACILITY EXPENSE/STAY 168 168 EXPFCFLG IMPUTATION FLAG FOR EDITED FAC EXPENSE 335 341 EXPNRS G62 TOTAL NURSE EXPENSE/STAY 324 332 EXPTOTX EDITED TOTAL EXPENSE/HOSPITAL STAY 71 72 HINVA G5 HOSPITAL IS A VA FACILITY 106 109 ICD1 G7/G9/G10/G13/G15 ICD9 CODE-CONDITION 1 110 113 ICD2 G7/G9/G10/G13/G15 ICD9 CODE-CONDITION 2 114 117 ICD3 G7/G9/G10/G13/G15 ICD9 CODE-CONDITION 3 118 121 ICD4 G7/G9/G10/G13/G15 ICD9 CODE-CONDITION 4 342 343 IHSFAC G77 HOSPITAL IS IHS OR TRIBE/ANC 344 355 INCALPER FULL-YEAR WEIGHT 34 36 LASTAGE ED PID AGE AT END OF LAST ELIGIBLE ROUND 130 131 NORMDELV G12 NORMAL DELIVERY 63 65 NUMNGHTX G4 ED NUMBER OF NIGHTS PER HOSPITAL STAY 61 62 NUMNIGHT G4 NUMBER OF NIGHTS PER HOSPITAL STAY 66 66 NUMNTFLG IMPUTATION FLAG FOR NUMNGHTX 67 69 NUMNT87X ED NUMBR OF 1987 NIGHTS PER HOSPITL STAY 70 70 NUM87FLG IMPUTATION FLAG FOR NUMNT87X 333 334 NURSCARE G58 SPECIAL/PRIV DUTY NURSE REQUIRED 1 5 ODUX ORIGINAL DWELLING UNIT OF PERSON 12 19 PIDX PERSON ID (ODU+PN) 41 48 PLACEIDX G1 ID OF FACILITY 6 8 PN PERSON NUMBER 105 105 PREGFLG STAY RELATED TO PREGNANCY 132 139 PREGIDX PREGNANCY ID (ODU+COUNTER) 122 123 PROCODE1 G8 1ST PROCEDURE CODE 124 125 PROCODE2 G8 2ND PROCEDURE CODE 126 127 PROCODE3 G8 3RD PROCEDURE CODE 144 145 PROCODE4 G17 1ST PROCEDURE CODE 146 147 PROCODE5 G17 2ND PROCEDURE CODE 148 149 PROCODE6 G17 3RD PROCEDURE CODE 39 39 RACE3 PID RACE/ETHNICITY 38 38 RACE6 ED PID RACE 32 33 ROUND DATA COLLECTION ROUND 75 104 RSNHOSOS G6 OTHER REASON FOR ADMISSION 73 74 RSNINHOS G6 MAIN REASON FOR ADMISSION 37 37 SMPSEXR PID SEX 315 322 SOPDFFP PCT PAYMENT FREE FROM PROVIDER-DR EXP 323 323 SOPDFLG IMPUTATN FLG FOR SOURC PAYM INFO-DOC EXP 275 282 SOPDMCD PCT PAYMENT FROM MEDICAID-DR EXP 267 274 SOPDMCR PCT PAYMENT FROM MEDICARE-DR EXP 283 290 SOPDOTFD PCT PAYMENT FROM OTHER FEDERAL-DR EXP 307 314 SOPDOTHR PCT PAYMENT FROM OTHER-DR EXP 291 298 SOPDOTST PCT PAYMENT FROM OTHER STATE-DR EXP 259 266 SOPDPRVT PCT PAYMENT FROM PRIVATE INSUR-DR EXP 251 258 SOPDSELF PCT PAYMENT FROM SELF OR FAMILY-DR EXP 299 306 SOPDWC PCT PAYMENT FROM WORKERS COMP-DR EXP 233 240 SOPFFFP PCT PAYMENT FREE FROM PROVIDER-FAC EXP 241 241 SOPFFLG IMPUTATN FLG FOR SOURC PAYM INFO-FAC EXP 193 200 SOPFMCD PCT PAYMENT FROM MEDICAID-FAC EXP 185 192 SOPFMCR PCT PAYMENT FROM MEDICARE-FAC EXP 201 208 SOPFOTFD PCT PAYMENT FROM OTHER FEDERAL-FAC EXP 225 232 SOPFOTHR PCT PAYMENT FROM OTHER-FAC EXP 209 216 SOPFOTST PCT PAYMENT FROM OTHER STATE-FAC EXP 177 184 SOPFPRVT PCT PAYMENT FROM PRIVATE INSUR-FAC EXP 169 176 SOPFSELF PCT PAYMENT FROM SELF OR FAMILY-FAC EXP 217 224 SOPFWC PCT PAYMENT FROM WORKERS COMP-FAC EXP 359 359 SPSU PSEUDO PSU 40 40 SREGION PID CENSUS REGION 356 358 STRATUMX SAMPLING STRATUM Positional Listing of Variables NMES EVENTS -- HOSPITAL STAYS CODEBOOK ALPHABETICAL AND POSITIONAL LISTING OF VARIABLES DATE: JUNE 1, 1992 -----POSITIONAL LISTING OF VARIABLES----- START END NAME DESCRIPTION ----- --- ---- ----------- 1 5 ODUX ORIGINAL DWELLING UNIT OF PERSON 6 8 PN PERSON NUMBER 9 11 EN EVENT NUMBER 12 19 PIDX PERSON ID (ODU+PN) 20 31 EVENTIDX EVENT ID (ODU+PN+EN) 32 33 ROUND DATA COLLECTION ROUND 34 36 LASTAGE ED PID AGE AT END OF LAST ELIGIBLE ROUND 37 37 SMPSEXR PID SEX 38 38 RACE6 ED PID RACE 39 39 RACE3 PID RACE/ETHNICITY 40 40 SREGION PID CENSUS REGION 41 48 PLACEIDX G1 ID OF FACILITY 49 50 DATEBMM G2 DATE PID ENTERED HOSPITAL - MONTH 51 52 DATEBDD G2 DATE PID ENTERED HOSPITAL - DAY 53 54 DATEBYY G2 DATE PID ENTERED HOSPITAL - YEAR 55 56 DATEEMM G3 DATE PID LEFT HOSPITAL - MONTH 57 58 DATEEDD G3 DATE PID LEFT HOSPITAL - DAY 59 60 DATEEYY G3 DATE PID LEFT HOSPITAL - YEAR 61 62 NUMNIGHT G4 NUMBER OF NIGHTS PER HOSPITAL STAY 63 65 NUMNGHTX G4 ED NUMBER OF NIGHTS PER HOSPITAL STAY 66 66 NUMNTFLG IMPUTATION FLAG FOR NUMNGHTX 67 69 NUMNT87X ED NUMBR OF 1987 NIGHTS PER HOSPITL STAY 70 70 NUM87FLG IMPUTATION FLAG FOR NUMNT87X 71 72 HINVA G5 HOSPITAL IS A VA FACILITY 73 74 RSNINHOS G6 MAIN REASON FOR ADMISSION 75 104 RSNHOSOS G6 OTHER REASON FOR ADMISSION 105 105 PREGFLG STAY RELATED TO PREGNANCY 106 109 ICD1 G7/G9/G10/G13/G15 ICD9 CODE-CONDITION 1 110 113 ICD2 G7/G9/G10/G13/G15 ICD9 CODE-CONDITION 2 114 117 ICD3 G7/G9/G10/G13/G15 ICD9 CODE-CONDITION 3 118 121 ICD4 G7/G9/G10/G13/G15 ICD9 CODE-CONDITION 4 122 123 PROCODE1 G8 1ST PROCEDURE CODE 124 125 PROCODE2 G8 2ND PROCEDURE CODE 126 127 PROCODE3 G8 3RD PROCEDURE CODE 128 129 BABYBORN G11 DELIVERY DURING HOSPITAL STAY 130 131 NORMDELV G12 NORMAL DELIVERY 132 139 PREGIDX PREGNANCY ID (ODU+COUNTER) 140 141 BABYNORM G14 BABY NORMAL 142 143 ANYOPER G16 OPERATION DURING HOSP STAY 144 145 PROCODE4 G17 1ST PROCEDURE CODE 146 147 PROCODE5 G17 2ND PROCEDURE CODE 148 149 PROCODE6 G17 3RD PROCEDURE CODE 150 158 EXPFAC G21 ORIGINAL FACILITY CHARGE 159 167 EXPFACX EDITED FACILITY EXPENSE/STAY 168 168 EXPFCFLG IMPUTATION FLAG FOR EDITED FAC EXPENSE 169 176 SOPFSELF PCT PAYMENT FROM SELF OR FAMILY-FAC EXP 177 184 SOPFPRVT PCT PAYMENT FROM PRIVATE INSUR-FAC EXP 185 192 SOPFMCR PCT PAYMENT FROM MEDICARE-FAC EXP 193 200 SOPFMCD PCT PAYMENT FROM MEDICAID-FAC EXP 201 208 SOPFOTFD PCT PAYMENT FROM OTHER FEDERAL-FAC EXP 209 216 SOPFOTST PCT PAYMENT FROM OTHER STATE-FAC EXP 217 224 SOPFWC PCT PAYMENT FROM WORKERS COMP-FAC EXP 225 232 SOPFOTHR PCT PAYMENT FROM OTHER-FAC EXP 233 240 SOPFFFP PCT PAYMENT FREE FROM PROVIDER-FAC EXP 241 241 SOPFFLG IMPUTATN FLG FOR SOURC PAYM INFO-FAC EXP 242 249 EXPDRX EDITED DOCTOR EXPENSE 250 250 EXPDRFLG IMPUTATION FLAG FOR EDITED DOC EXPENSE 251 258 SOPDSELF PCT PAYMENT FROM SELF OR FAMILY-DR EXP 259 266 SOPDPRVT PCT PAYMENT FROM PRIVATE INSUR-DR EXP 267 274 SOPDMCR PCT PAYMENT FROM MEDICARE-DR EXP 275 282 SOPDMCD PCT PAYMENT FROM MEDICAID-DR EXP 283 290 SOPDOTFD PCT PAYMENT FROM OTHER FEDERAL-DR EXP 291 298 SOPDOTST PCT PAYMENT FROM OTHER STATE-DR EXP 299 306 SOPDWC PCT PAYMENT FROM WORKERS COMP-DR EXP 307 314 SOPDOTHR PCT PAYMENT FROM OTHER-DR EXP 315 322 SOPDFFP PCT PAYMENT FREE FROM PROVIDER-DR EXP 323 323 SOPDFLG IMPUTATN FLG FOR SOURC PAYM INFO-DOC EXP 324 332 EXPTOTX EDITED TOTAL EXPENSE/HOSPITAL STAY 333 334 NURSCARE G58 SPECIAL/PRIV DUTY NURSE REQUIRED 335 341 EXPNRS G62 TOTAL NURSE EXPENSE/STAY 342 343 IHSFAC G77 HOSPITAL IS IHS OR TRIBE/ANC 344 355 INCALPER FULL-YEAR WEIGHT 356 358 STRATUMX SAMPLING STRATUM 359 359 SPSU PSEUDO PSU Codebook General Information NMES EVENTS -- HOSPITAL STAYS CODEBOOK DATE: JUNE 1, 1992 ________________________ THIS CODEBOOK PROVIDES UNWEIGHTED AND WEIGHTED FREQUENCIES FOR THE USE OF HOSPITAL SERVICES FOR CALENDAR YEAR 1987. THE DATA FILE CONTAINS ONE RECORD PER HOSPITAL STAY FOR EACH PERSON IN THE HOUSEHOLD SURVEY WHO REPORTED HAVING HAD A HOSPITAL STAY BEGINNING OR TERMINATING IN CALENDAR YEAR 1987. ALL STAYS INVOLVING DELIVERIES HAVE MULTIPLE RECORDS, ONE FOR THE MOTHER AND ONE FOR EACH CHILD. BASIC DEMOGRAPHIC INFORMATION FOR EACH PATIENT, MAIN REASON FOR ADMISSION AND ADDITIONAL CONDITIONS AS REPORTED IN THE HOUSEHOLD SURVEY, LENGTH OF STAY, AND ALL HOSPITAL EXPENSES AND SOURCES OF PAYMENT INCLUDING THOSE FOR INPATIENT PHYSICIAN CARE ARE INCLUDED ON EACH RECORD. FOR VARIABLES CORRESPONDING DIRECTLY TO QUESTIONNAIRE ITEMS, THE ITEM NUMBER IS PROVIDED IN THE VARIABLE DESCRIPTOR, WHICH ALSO IDENTIFIES EDITED VARIABLES. FOR VARIABLES WITH AN ASTERISK IN THE RIGHTMOST COLUMN, EXPLANATORY NOTES ARE PROVIDED AT THE END OF THE CODEBOOK IN ALPHABETICAL ORDER OF THE VARIABLE NAME. TO OBTAIN NATIONAL ESTIMATES FOR THE VARIABLES ON THIS FILE, THE WEIGHT DESCRIBED AT THE END OF THIS CODEBOOK MUST BE USED. INFORMATION CONSERNING SAMPLE DESIGN AND ESTIMATION IS PROVIDED IN THE FILE DOCUMENTATION. Variable Positions 1-55 NAME DESCRIPTION FORMAT TYPE START END NOTE ---- ----------- ------ ---- ----- --- ---- ODUX ORIG DWELG UNIT OF PERSON 5.0 NUM 1 5 VALUE UNWEIGHTED WEIGHTED BY INCALPER 20001-37615 5,432 34,436,582 TOTAL 5,432 34,436,582 PN PERSON NUMBER 3.0 NUM 6 8 VALUE UNWEIGHTED WEIGHTED BY INCALPER 10-266 5,432 34,436,582 TOTAL 5,432 34,436,582 EN EVENT NUMBER 3.0 NUM 9 11 * VALUE UNWEIGHTED WEIGHTED BY INCALPER 11-813 5,432 34,436,582 TOTAL 5,432 34,436,582 PIDX PERSON ID (ODU+PN) 8.0 CHAR 12 19 VALUE UNWEIGHTED WEIGHTED BY INCALPER VALID PERSON ID 5,432 34,436,582 TOTAL 5,432 34,436,582 EVENTIDX EVENT ID (ODU+PN+EN) 12.0 CHAR 20 31 * VALUE UNWEIGHTED WEIGHTED BY INCALPER VALID EVENT ID 5,432 34,436,582 TOTAL 5,432 34,436,582 ROUND DATA COLLECTION ROUND 2.0 NUM 32 33 * VALUE UNWEIGHTED WEIGHTED BY INCALPER -9 NOT ASCERTAIN 59 378,632 1 1,243 7,955,273 2 1,989 12,549,603 3 1,231 7,736,197 4 910 5,816,876 TOTAL 5,432 34,436,582 LASTAGE ED PID AGE AT END LT ELIG RD 3.0 NUM 34 36 * VALUE UNWEIGHTED WEIGHTED BY INCALPER 0-17 956 6,775,785 18-44 1,504 11,048,156 45-64 999 7,238,212 65+ 1,973 9,374,429 TOTAL 5,432 34,436,582 SMPSEXR PID SEX 1.0 NUM 37 37 VALUE UNWEIGHTED WEIGHTED BY INCALPER 1 MALE 2,133 13,720,333 2 FEMALE 3,299 20,716,249 TOTAL 5,432 34,436,582 RACE6 ED PID RACE 1.0 NUM 38 38 * VALUE UNWEIGHTED WEIGHTED BY INCALPER 1 AMER INDIAN 41 263,524 3 ASIAN/PACIFIC 45 401,154 4 BLACK 1,136 4,575,130 5 WHITE 4,057 28,359,769 6 OTHER 153 837,004 TOTAL 5,432 34,436,582 RACE3 PID RACE/ETHNICITY 1.0 NUM 39 39 * VALUE UNWEIGHTED WEIGHTED BY INCALPER 1 HISPANIC 421 2,120,285 2 BLACK NONHISP 1,132 4,556,718 3 OTHER 3,879 27,759,578 TOTAL 5,432 34,436,582 SREGION PID CENSUS REGION 1.0 NUM 40 40 VALUE UNWEIGHTED WEIGHTED BY INCALPER 1 NORTHEAST 1,059 6,966,252 2 MIDWEST 1,390 9,006,066 3 SOUTH 2,050 12,442,611 4 WEST 933 6,021,652 TOTAL 5,432 34,436,582 PLACEIDX G1 ID OF FACILITY 8.0 CHAR 41 48 VALUE UNWEIGHTED WEIGHTED BY INCALPER VALID PLACE ID 5,432 34,436,582 TOTAL 5,432 34,436,582 DATEBMM G2 DATE PID ENTERED HOSP-MNTH 2.0 NUM 49 50 VALUE UNWEIGHTED WEIGHTED BY INCALPER -9 NOT ASCERTAIN 15 79,404 -8 DON'T KNOW 8 34,907 -5 NEVER KNOW 2 5,512 1 JANUARY 480 3,069,914 2 FEBRUARY 429 2,633,507 3 MARCH 473 3,005,815 4 APRIL 467 2,950,052 5 MAY 444 2,843,070 6 JUNE 426 2,760,088 7 JULY 484 3,113,523 8 AUGUST 410 2,628,548 9 SEPTEMBER 414 2,689,164 10 OCTOBER 448 2,838,573 11 NOVEMBER 451 2,794,959 12 DECEMBER 481 2,989,543 TOTAL 5,432 34,436,582 DATEBDD G2 DATE PID ENTERED HOSP-DAY 2.0 NUM 51 52 VALUE UNWEIGHTED WEIGHTED BY INCALPER -9 NOT ASCERTAIN 33 172,678 -8 DON'T KNOW 128 639,265 -5 NEVER KNOW 31 146,935 1-31 5,240 33,477,702 TOTAL 5,432 34,436,582 DATEBYY G2 DATE PID ENTERED HOSP-YR 2.0 NUM 53 54 VALUE UNWEIGHTED WEIGHTED BY INCALPER -9 NOT ASCERTAIN 12 61,191 -8 DON'T KNOW 2 10,196 -5 NEVER KNOW 1 3,846 85 1 8,465 86 66 408,813 87 5,350 33,944,069 TOTAL 5,432 34,436,582 DATEEMM G3 DATE PID LEFT HOSP-MNTH 2.0 NUM 55 56 VALUE UNWEIGHTED WEIGHTED BY INCALPER -9 NOT ASCERTAIN 125 826,365 -8 DON'T KNOW 12 60,658 -5 NEVER KNOW 7 26,462 1 JANUARY 477 3,073,297 2 FEBRUARY 406 2,490,604 3 MARCH 456 2,881,388 4 APRIL 472 2,997,258 5 MAY 449 2,837,850 6 JUNE 417 2,718,414 7 JULY 456 2,956,253 8 AUGUST 414 2,639,498 9 SEPTEMBER 397 2,510,957 10 OCTOBER 442 2,899,864 11 NOVEMBER 419 2,606,863 12 DECEMBER 429 2,621,110 95 STILL IN HOSP 54 289,742 TOTAL 5,432 34,436,582 Variable Positions 57-110 NAME DESCRIPTION FORMAT TYPE START END NOTE ---- ----------- ------ ---- ----- --- ---- DATEEDD G3 DATE PID LEFT HOSP-DAY 2.0 NUM 57 58 VALUE UNWEIGHTED WEIGHTED BY INCALPER -9 NOT ASCERTAIN 153 992,915 -8 DON'T KNOW 123 632,386 -5 NEVER KNOW 29 137,372 -1 INAPPLICABLE 54 289,742 1-31 5,073 32,384,167 TOTAL 5,432 34,436,582 DATEEYY G3 DATE PID LEFT HOSP-YEAR 2.0 NUM 59 60 VALUE UNWEIGHTED WEIGHTED BY INCALPER -9 NOT ASCERTAIN 58 345,513 -5 NEVER KNOW 2 9,699 -1 INAPPLICABLE 54 289,742 87 5,298 33,671,285 88 20 120,344 TOTAL 5,432 34,436,582 NUMNIGHT G4 # OF NIGHTS PER HOSP STAY 2.0 NUM 61 62 VALUE UNWEIGHTED WEIGHTED BY INCALPER -9 NOT ASCERTAIN 160 1,036,417 -8 DON'T KNOW 35 160,347 -1 INAPPLICABLE 5,067 32,367,319 0 18 79,879 1-2 39 236,147 3-5 41 220,318 6-10 42 207,915 11+ 30 128,240 TOTAL 5,432 34,436,582 NUMNGHTX G4 ED # OF NIGHTS PER HOSP STAY 3.0 NUM 63 65 * VALUE UNWEIGHTED WEIGHTED BY INCALPER 0 497 3,211,233 1-2 1,362 9,327,856 3-5 1,729 11,281,755 6-10 1,003 5,833,612 11+ 841 4,782,125 TOTAL 5,432 34,436,582 NUMNTFLG IMPUTATION FLAG FOR NUMNGHTX 1.0 NUM 66 66 VALUE UNWEIGHTED WEIGHTED BY INCALPER 1 FROM HS 2,676 16,619,031 2 FROM MPS 2,599 16,846,690 3 IMPUTED 157 970,861 TOTAL 5,432 34,436,582 NUMNT87X ED # OF 1987 NIGHTS PER HOSP STAY 3.0 NUM 67 69 * VALUE UNWEIGHTED WEIGHTED BY INCALPER 0 496 3,195,361 1-2 1,392 9,531,367 3-5 1,727 11,253,768 6-10 995 5,788,533 11+ 822 4,667,553 TOTAL 5,432 34,436,582 NUM87FLG IMPUTATION FLAG FOR NUMNT87X 1.0 NUM 70 70 VALUE UNWEIGHTED WEIGHTED BY INCALPER 1 FROM HS 2,627 16,379,465 2 FROM MPS 2,650 17,105,529 3 IMPUTED 155 951,588 TOTAL 5,432 34,436,582 HINVA G5 HOSPITAL IS A VA FACILITY 2.0 NUM 71 72 VALUE UNWEIGHTED WEIGHTED BY INCALPER -9 NOT ASCERTAIN 60 376,225 -1 INAPPLICABLE 4,700 29,661,930 1 YES 112 646,242 2 NO 560 3,752,185 TOTAL 5,432 34,436,582 RSNINHOS G6 MAIN REASON FOR ADMISSION 2.0 NUM 73 74 * VALUE UNWEIGHTED WEIGHTED BY INCALPER -9 NOT ASCERTAIN 30 187,518 -1 INAPPLICABLE 31 156,786 1 MEDICAL CONDT 2,464 14,521,352 2 OPER/SURG PRO 1,473 9,416,604 3 DIAGNOSTC TES 276 1,724,698 4 TO HAVE A BAB 508 3,751,830 5 CHILD BORN 500 3,690,243 91 OTHER 150 987,551 TOTAL 5,432 34,436,582 RSNHOSOS G6 OTHER REASON FOR ADMISSION 30.0 CHAR 75 104 * VALUE UNWEIGHTED WEIGHTED BY INCALPER -1 INAPPLICABLE 5,282 33,449,031 -8 DON'T KNOW 1 10,124 -9 NOT ASCERTAIN 2 12,744 TEXT FIELD 147 964,683 TOTAL 5,432 34,436,582 PREGFLG STAY RELATED TO PREGN 1.0 NUM 105 105 * VALUE UNWEIGHTED WEIGHTED BY INCALPER 1 YES 1,105 8,101,302 2 NO 4,327 26,335,280 TOTAL 5,432 34,436,582 ICD1 G7/G9/G10/G13/G15 ICD9 CODE-COND1 4.0 CHAR 106 109 VALUE UNWEIGHTED WEIGHTED BY INCALPER -1 INAPPLICABLE 920 6,673,222 -9 NOT ASCERTAIN 44 248,181 V001-V999 125 823,694 X00X-X999 124 778,025 0001-9999 4,219 25,913,459 TOTAL 5,432 34,436,582 ICD2 G7/G9/G10/G13/G15 ICD9 CODE-COND 2 4.0 CHAR 110 113 VALUE UNWEIGHTED WEIGHTED BY INCALPER -1 INAPPLICABLE 4,908 31,375,257 -9 NOT ASCERTAIN 44 248,181 V001-V999 4 29,417 X00X-X999 16 69,427 0001-9999 460 2,714,300 TOTAL 5,432 34,436,582 Variable Positions 114-150 NAME DESCRIPTION FORMAT TYPE START END NOTE ---- ----------- ------ ---- ----- --- ---- ICD3 G7/G9/G10/G13/G15 ICD9 CODE-COND3 4 CHAR 114 117 VALUE UNWEIGHTED WEIGHTED BY INCALPER -1 INAPPLICABLE 5,280 33,593,312 -9 NOT ASCERTAIN 44 248,181 X00X-X999 2 10,373 0001-9999 106 584,716 TOTAL 5,432 34,436,582 ICD4 G7/G9/G10/G13/G15 ICD9 CODE-COND4 4.0 CHAR 118 121 VALUE UNWEIGHTED WEIGHTED BY INCALPER -1 INAPPLICABLE 5,355 33,987,668 -9 NOT ASCERTAIN 44 248,181 X00X-X999 1 5,489 0001-9999 32 195,244 TOTAL 5,432 34,436,582 PROCODE1 G8 1ST PROCEDURE CODE 2.0 CHAR 122 123 VALUE UNWEIGHTED WEIGHTED BY INCALPER -1 INAPPLICABLE 3,959 25,019,978 -9 NOT ASCERTAIN 54 336,255 00-99 1,419 9,080,349 TOTAL 5,432 34,436,582 PROCODE2 G8 2ND PROCEDURE CODE 2.0 CHAR 124 125 VALUE UNWEIGHTED WEIGHTED BY INCALPER -1 INAPPLICABLE 5,180 32,720,157 -9 NOT ASCERTAIN 66 409,505 00-99 186 1,306,919 TOTAL 5,432 34,436,582 PROCODE3 G8 3RD PROCEDURE CODE 2.0 CHAR 126 127 VALUE UNWEIGHTED WEIGHTED BY INCALPER -1 INAPPLICABLE 5,350 33,906,177 -9 NOT ASCERTAIN 58 360,506 00-99 24 169,899 TOTAL 5,432 34,436,582 BABYBORN G11 DELIVERY DURING HOSPITAL STAY 2.0 NUM 128 129 VALUE UNWEIGHTED WEIGHTED BY INCALPER -9 NOT ASCERTAIN 1 9,453 -1 INAPPLICABLE 4,921 30,665,482 1 YES 491 3,644,995 2 NO 17 109,170 3 STILLBIRTH 2 7,481 TOTAL 5,432 34,436,582 NORMDELV G12 NORMAL DELIVERY 2.0 NUM 130 131 VALUE UNWEIGHTED WEIGHTED BY INCALPER -9 NOT ASCERTAIN 9 51,201 -1 INAPPLICABLE 4,940 30,785,592 1 YES 380 2,800,009 2 NO 103 799,779 TOTAL 5,432 34,436,582 PREGIDX PREGNANCY ID (ODU+COUNTER) 8.0 CHAR 132 139 VALUE UNWEIGHTED WEIGHTED BY INCALPER -1 INAPPLICABLE 4,327 26,335,280 VALID PREG ID 1,105 8,101,302 TOTAL 5,432 34,436,582 BABYNORM G14 BABY NORMAL 2.0 NUM 140 141 VALUE UNWEIGHTED WEIGHTED BY INCALPER -9 NOT ASCERTAIN 6 41,119 -1 INAPPLICABLE 4,932 30,746,339 1 YES 464 3,432,771 2 NO 30 216,353 TOTAL 5,432 34,436,582 ANYOPER G16 OPERATN DURING HOSP STAY 2.0 NUM 142 143 VALUE UNWEIGHTED WEIGHTED BY INCALPER -9 NOT ASCERTAIN 110 758,510 -8 DON'T KNOW 1 5,150 -1 INAPPLICABLE 1,538 9,804,742 1 YES 623 4,302,351 2 NO 3,160 19,565,828 TOTAL 5,432 34,436,582 PROCODE4 G17 1ST PROCEDURE CODE 2.0 CHAR 144 145 VALUE UNWEIGHTED WEIGHTED BY INCALPER -1 INAPPLICABLE 4,811 30,145,224 -9 NOT ASCERTAIN 6 37,559 00-99 615 4,253,798 TOTAL 5,432 34,436,582 PROCODE5 G17 2ND PROCEDURE CODE 2.0 CHAR 146 147 VALUE UNWEIGHTED WEIGHTED BY INCALPER -1 INAPPLICABLE 5,340 33,878,340 -9 NOT ASCERTAIN 11 66,638 00-99 81 491,603 TOTAL 5,432 34,436,582 PROCODE6 G17 3RD PROCEDURE CODE 2.0 CHAR 148 149 VALUE UNWEIGHTED WEIGHTED BY INCALPER -1 INAPPLICABLE 5,411 34,291,246 -9 NOT ASCERTAIN 6 37,559 00-99 15 107,777 TOTAL 5,432 34,436,582 EXPFAC G21 ORIGINAL FACILITY CHARGE 9.2 NUM 150 158 VALUE UNWEIGHTED WEIGHTED BY INCALPER -9 NOT ASCERTAIN 155 966,449 -8 DON'T KNOW 757 4,424,760 -5 NEVER KNOW 280 1,662,516 -1 INAPPLICABLE 2,039 12,475,062 1 TO 200 97 610,698 GT 200 TO 500 167 1,182,877 GT 500 TO 1000 247 1,764,626 GT 1000 TO 2000 525 3,746,696 GT 2000 TO 5000 711 4,708,631 GT 5000-10000 256 1,674,100 GT 10000 198 1,220,166 TOTAL 5,432 34,436,582 Variable Positions 159-241 NAME DESCRIPTION FORMAT TYPE START END NOTE ---- ----------- ------ ---- ----- --- ---- EXPFACX EDITED FACILITY EXPENSE/STAY 9.2 NUM 159 167 * VALUE UNWEIGHTED WEIGHTED BY INCALPER 0 2 14,477 1 TO 200 67 361,192 GT 200 TO 500 360 2,595,633 GT 500 TO 1000 669 4,558,741 GT 1000 TO 2000 1,229 8,190,883 GT 2000 TO 5000 1,759 10,820,171 GT 5000-10000 749 4,517,573 GT 10000 597 3,377,910 TOTAL 5,432 34,436,582 EXPFCFLG IMPUTA FLAG FOR EDITED FAC EXP 1.0 NUM 168 168 * VALUE UNWEIGHTED WEIGHTED BY INCALPER 1 EXP FROM HS 782 5,445,823 2 EXP FROM MPS 2,620 16,311,896 3 EXP IMPUTED 2,030 12,678,862 TOTAL 5,432 34,436,582 SOPFSELF PCT PAYM FROM SELF OR FAMILY-FAC EXP 8.4 NUM 169 176 0 3,752 22,767,565 GT 0 TO 20 1,071 7,429,188 GT 20 TO 40 229 1,738,415 GT 40 TO 60 57 367,257 GT 60 TO 80 28 198,336 GT 80 TO LT 100 11 82,658 100 284 1,853,162 TOTAL 5,432 34,436,582 SOPFPRVT PCT PAYM FROM PRIVATE INSUR-FAC EXP 8.4 NUM 177 184 VALUE UNWEIGHTED WEIGHTED BY INCALPER 0 2,547 14,653,427 GT 0 TO 20 678 3,394,072 GT 20 TO 40 114 645,388 GT 40 TO 60 44 307,008 GT 60 TO 80 386 2,960,489 GT 80 TO LT 100 467 3,721,152 100 1,196 8,755,046 TOTAL 5,432 34,436,582 SOPFMCR PCT PAYM FROM MEDICARE-FAC EXP 8.4 NUM 185 192 VALUE UNWEIGHTED WEIGHTED BY INCALPER 0 3,779 26,385,688 GT 0 TO 20 43 191,244 GT 20 TO 40 29 152,999 GT 40 TO 60 74 368,940 GT 60 TO 80 662 3,263,716 GT 80 TO LT 100 615 3,002,212 100 230 1,071,782 TOTAL 5,432 34,436,582 SOPFMCD PCT PAYMENT FROM MEDICAID-FAC EXP 8.4 NUM 193 200 VALUE UNWEIGHTED WEIGHTED BY INCALPER 0 4,481 29,303,082 GT 0 TO 20 176 808,065 GT 20 TO 40 46 201,406 GT 40 TO 60 23 100,054 GT 60 TO 80 5 19,759 GT 80 TO LT 100 11 49,799 100 690 3,954,418 TOTAL 5,432 34,436,582 SOPFOTFD PCT PAYMENT FROM OTHER FED-FAC EXP 8.4 NUM 201 208 VALUE UNWEIGHTED WEIGHTED BY INCALPER 0 5,022 31,847,056 GT 0 TO 20 10 66,657 GT 20 TO 40 3 14,463 GT 60 TO 80 16 147,661 GT 80 TO LT 100 21 172,791 100 360 2,187,953 TOTAL 5,432 34,436,582 SOPFOTST PCT PAYM FROM OTHER STATE-FAC EXP 8.4 NUM 209 216 VALUE UNWEIGHTED WEIGHTED BY INCALPER 0 5,267 33,503,806 GT 0 TO 20 85 440,674 GT 20 TO 40 18 91,272 GT 40 TO 60 6 40,682 GT 60 TO 80 10 64,937 GT 80 TO LT 100 2 12,666 100 44 282,545 TOTAL 5,432 34,436,582 SOPFWC PCT PAYMENT FROM WORKERS COMP-FAC EXP 8.4 NUM 217 224 VALUE UNWEIGHTED WEIGHTED BY INCALPER 0 5,372 33,968,985 GT 80 TO LT 100 2 8,424 100 58 459,172 TOTAL 5,432 34,436,582 SOPFOTHR PCT PAYM FROM OTHER-FAC EXP 8.4 NUM 225 232 VALUE UNWEIGHTED WEIGHTED BY INCALPER 0 5,301 33,630,675 GT 0 TO 20 35 176,433 GT 20 TO 40 3 13,552 GT 40 TO 60 2 15,208 GT 60 TO 80 14 97,695 GT 80 TO LT 100 15 78,542 100 62 424,477 TOTAL 5,432 34,436,582 SOPFFFP PCT PAYM FREE FROM PROVIDER-FAC EXP 8.4 NUM 233 240 VALUE UNWEIGHTED WEIGHTED BY INCALPER 0 5,240 33,140,087 GT 0 TO 20 42 227,234 GT 20 TO 40 20 147,637 GT 40 TO 60 12 82,067 GT 60 TO 80 16 134,796 GT 80 TO LT 100 54 386,294 100 48 318,467 TOTAL 5,432 34,436,582 SOPFFLG IMPUTATN FLG FOR SOURC PAYM INFO-FAC EXP 1.0 NUM 241 241 VALUE UNWEIGHTED WEIGHTED BY INCALPER 0 NO EXPENSES 2 14,477 1 ALL SOP FRM HS 2,945 20,013,910 2 ALL SOP IMPUTD 2,485 14,408,195 TOTAL 5,432 34,436,582 Variable Positions 242-315 NAME DESCRIPTION FORMAT TYPE START END NOTE ---- ----------- ------ ---- ----- --- ---- EXPDRX EDITED DOCTOR EXPENSE 8.2 NUM 242 249 * VALUE UNWEIGHTED WEIGHTED BY INCALPER 0 1,744 11,416,150 1 TO 50 41 212,869 GT 50 TO 100 85 591,575 GT 100 TO 200 368 2,355,094 GT 200 TO 500 952 6,051,818 GT 500 TO 1000 696 4,207,304 GT 1000 TO 5000 1,356 8,423,293 GT 5000 190 1,178,477 TOTAL 5,432 34,436,582 EXPDRFLG IMPUTAT FLAG FOR EDITED DOC EXPENSE 1.0 NUM 250 250* VALUE UNWEIGHTED WEIGHTED BY INCALPER 2 EXP FROM MPS 3,841 24,371,514 3 EXP IMPUTED 1,591 10,065,067 TOTAL 5,432 34,436,582 SOPDSELF PCT PAYM FROM SELF OR FAMILY-DR EXP 8.4 NUM 251 258 VALUE UNWEIGHTED WEIGHTED BY INCALPER 0 3,997 24,891,336 GT 0 TO 20 664 4,496,174 GT 20 TO 40 218 1,516,954 GT 40 TO 60 149 993,846 GT 60 TO 80 49 255,081 GT 80 TO LT 100 16 94,829 100 339 2,188,361 TOTAL 5,432 34,436,582 SOPDPRVT PCT PAYM FROM PRIVATE INSUR-DR EXP 8.4 NUM 259 266 VALUE UNWEIGHTED WEIGHTED BY INCALPER 0 3,685 22,656,333 GT 0 TO 20 337 1,750,661 GT 20 TO 40 141 743,321 GT 40 TO 60 108 727,120 GT 60 TO 80 283 2,182,067 GT 80 TO LT 100 193 1,604,861 100 685 4,772,220 TOTAL 5,432 34,436,582 SOPDMCR PCT PAYM FROM MEDICARE-DR EXP 8.4 NUM 267 274 VALUE UNWEIGHTED WEIGHTED BY INCALPER 0 4,330 29,012,597 GT 0 TO 20 33 145,199 GT 20 TO 40 60 300,322 GT 40 TO 60 131 690,797 GT 60 TO 80 623 3,097,476 GT 80 TO LT 100 123 596,682 100 132 593,510 TOTAL 5,432 34,436,582 SOPDMCD PCT PAYM FROM MEDICAID-DR EXP 8.4 NUM 275 282 VALUE UNWEIGHTED WEIGHTED BY INCALPER 0 4,846 31,269,781 GT 0 TO 20 133 625,710 GT 20 TO 40 42 186,525 GT 40 TO 60 15 69,867 GT 60 TO 80 6 53,814 GT 80 TO LT 100 5 26,590 100 385 2,204,294 TOTAL 5,432 34,436,582 SOPDOTFD PCT PAYM FROM OTHER FEDERAL-DR EXP 8.4 NUM 283 290 VALUE UNWEIGHTED WEIGHTED BY INCALPER 0 5,073 32,298,114 GT 0 TO 20 1 3,161 GT 20 TO 40 2 8,125 GT 40 TO 60 3 27,347 GT 60 TO 80 6 56,488 GT 80 TO LT 100 3 19,598 100 344 2,023,747 TOTAL 5,432 34,436,582 SOPDOTST PCT PAYM FROM OTHER STATE-DR EXP 8.4 NUM 291 298 VALUE UNWEIGHTED WEIGHTED BY INCALPER 0 5,272 33,555,939 GT 0 TO 20 57 307,058 GT 20 TO 40 35 160,652 GT 40 TO 60 5 31,319 GT 60 TO 80 1 4,621 100 62 376,992 TOTAL 5,432 34,436,582 SOPDWC PCT PAYM FROM WORKERS COMP-DR EXP 8.4 NUM 299 306 VALUE UNWEIGHTED WEIGHTED BY INCALPER 0 5,400 34,193,640 GT 60 TO 80 1 3,907 100 31 239,035 TOTAL 5,432 34,436,582 SOPDOTHR PCT PAYM FROM OTHER-DR EXP 8.4 NUM 307 314 VALUE UNWEIGHTED WEIGHTED BY INCALPER 0 5,315 33,605,904 GT 0 TO 20 14 63,478 GT 20 TO 40 3 18,748 GT 40 TO 60 9 57,164 GT 60 TO 80 23 149,671 GT 80 TO LT 100 21 166,915 100 47 374,701 TOTAL 5,432 34,436,582 SOPDFFP PCT PAYM FREE FROM PROVIDER-DR EXP 8.4 NUM 315 322 VALUE UNWEIGHTED WEIGHTED BY INCALPER 0 5,322 33,631,581 GT 0 TO 20 44 330,016 GT 20 TO 40 14 80,343 GT 40 TO 60 8 61,189 GT 60 TO 80 13 104,239 GT 80 TO LT 100 12 107,976 100 19 121,238 TOTAL 5,432 34,436,582 Variable Positions 323-344 NAME DESCRIPTION FORMAT TYPE START END NOTE ---- ----------- ------ ---- ----- --- ---- SOPDFLG IMPUTA FLG FOR SRC PAYM INFO-DOC EXP 1 NUM 323 323 * VALUE UNWEIGHTED WEIGHTED BY INCALPER 0 NO EXPENSES 1,744 11,416,150 1 ALL SOP FRM HS 1,889 12,573,786 2 ALL SOP IMPUTD 1,799 10,446,646 TOTAL 5,432 34,436,582 EXPTOTX EDITED TOTAL EXPENSE/HOSP STAY 9.2 NUM 324 332 * VALUE UNWEIGHTED WEIGHTED BY INCALPER 0 2 14,477 1 TO 200 50 269,721 GT 200 TO 500 254 1,818,538 GT 500 TO 1000 561 3,862,486 GT 1000 TO 2000 1,015 6,802,907 GT 2000 TO 5000 1,795 11,222,400 GT 5000-10000 977 5,977,290 GT 10000 778 4,468,762 TOTAL 5,432 34,436,582 NURSCARE G58 SPECIAL/PRIV DUTY NRS REQUIRED 2.0 NUM 333 334 VALUE UNWEIGHTED WEIGHTED BY INCALPER -9 NOT ASCERTAIN 244 1,619,710 -8 DON'T KNOW 10 73,945 -1 INAPPLICABLE 54 296,694 1 YES 135 798,809 2 NO 4,989 31,647,424 TOTAL 5,432 34,436,582 EXPNRS G62 TOTAL NURSE EXPENSE/STAY 7.2 NUM 335 341 VALUE UNWEIGHTED WEIGHTED BY INCALPER -9 NOT ASCERTAIN 108 644,209 -1 INAPPLICABLE 5,297 33,637,773 GT 0 27 154,600 TOTAL 5,432 34,436,582 IHSFAC G77 HOSP IS IHS OR TRIBE/ANC 2.0 NUM 342 343 VALUE UNWEIGHTED WEIGHTED BY INCALPER -9 NOT ASCERTAIN 24 146,093 -1 INAPPLICABLE 5,385 34,144,761 2 TRIBE/ANC 4 25,953 3 NOT IHS/TRIBE 19 119,775 TOTAL 5,432 34,436,582 INCALPER FULL-YEAR WEIGHT 12.6 NUM 344 355 * VALUE UNWEIGHTED WEIGHTED BY INCALPER 781.59-24900.84 5,432 N/A TOTAL 5,432 N/A STRATUMX SAMPLING STRATUM 3.0 NUM 356 358 VALUE UNWEIGHTED WEIGHTED BY INCALPER 301-401 5,432 34,436,582 TOTAL 5,432 34,436,582 SPSU PSEUDO PSU 1.0 NUM 359 359 * VALUE UNWEIGHTED WEIGHTED BY INCALPER 1 2,758 17,235,016 2 2,674 17,201,566 TOTAL 5,432 34,436,582 CODEBOOK NOTES An asterisk in the rightmost column of the codebook indicates that an explanatory note provides greater detail on information necessary for the use of this variable. These notes are listed below in alphabetical order by variable name. VARIABLE NOTE EN EN is an event number where each event is a unique EVENTIDX hospital stay. EVENTIDX is the unique record identifier on the file for these events. EXPDRX Constructed expense variables. The constructed EXPFACX doctor expense variable (EXPDRX) is equal to the EXPTOTX sum of expenses for all physicians billing separately for inpatient services during the hospital stay. The constructed facility expense variable (EXPFACX) is the sum of all expenses for hospital care, including room and board, laboratory charges, x-rays, and services provided by physicians not billing independently from the hospital. The total hospital expense variable (EXPTOTX) is the sum of facility expense (EXPFACX) and physician expense (EXPDRX). See section 2.3.1 for details. EXPDRFLG A flag indicating whether the physician expense for that record was imputed or provided from the Medical Provider Survey. EXPFCFLG A flag indicating whether the facility expense for that record was imputed, provided by the household respondent or taken from the Medical Provider Survey. INCALPER Weight adjusted for nonresponse and post- stratified to U.S. Census data. Estimates of utilization and expenditure for hospital stays require the use of weighted data. For details on this weight, see the Technical and Programming section on this file and the hard copy documentation accompanying this tape. LASTAGE An edited variable which identifies person age, in years, as of the end of the last round in 1987 for which the person was eligible. Less than 0.1 percent of the cases were edited. NUMNGHTX NUMNGHTX is an edited variable indicating the NUMNTFLG number of nights in the hospital for this stay. See section 2.1 for details. NUMNTFLG is a flag indicating whether the number of nights for the record was imputed, provided by the household respondent, or taken from the MPS. NUMNT87X NUMNT87X is an edited variable indicating NUM87FLG the number of hospital nights in 1987 for this stay. Stays starting in 1986 or ending in 1988 were truncated to show only the nights in the hospital in 1987. NUM87FLG is a flag indicating whether the number of nights in 1987 for the record was imputed, provided by the household respondent or taken from the MPS. PLACEIDX Responses to question G1 were converted to numerical identifiers for the facility where the hospital stay occurred. This variable may be used as a link to similar variables on NMES Pubic Use Tapes 9, 14.2, and 14.5 (usual source of care, home health visit, and ambulatory medical visit data). The identifier consists of the ODUX variable plus a three digit number, which was assigned to each facility reported within a dwelling unit. Since this number was assigned within a dwelling unit, this identifier is not unique across dwelling units. In order to link the files all identification variables provided for medical providers, physicians and place of care (PLACEIDX, DOCRIDX, PROVIDX and IHSANIDX; the last three are not provided on the current tape but on NMES Tapes 9, 14.2 and 14.5) must first be renamed to a common variable name. Consistancy across files for provider type has not been verified, e.g., a medical provider identified on the current file may link to a place of care on another file rather than a medical provider. It should be noted that if a respondent saw a provider in more than one location then it was possible to have a different ID for each location. PREGFLG A constructed variable which indicates whether the stay was associated with a pregnancy. Pregnancy related events were identified using the following criteria: i) any condition code in the ranges 6300-6769, V220-V222, V230-V239, V240-242 and V300-392; ii) a procedure code in the range 72-75; iii) category 4 or 5 given for the visit in RSNINHOS; iv) coverage by a flat fee which also covers events having any of characteristics i) - iii). It is set to 1 for both mothers and newborns. To identify all newborn stays in which the birth occurred use RSNINHOS=5. PREGIDX An identification variable to link hospital records for delivering mothers and newborn babies. RACE3 A person-level variable constructed to facilitate the poststratification of the NMES person-level sampling weights by race and ethnicity, considering three mutually exclusive classifications: Hispanic, Black--non-Hispanic, and white or other. RACE6 An edited variable indicating race. Less than 0.2 percent of cases were edited. ROUND Indicator of the round of data collection. Reference period dates specific to each person's rounds of data collection are provided on NMES Public Use Tape 13. RSNINHOS Categories 4 and 5 can be used to identify most pregnancy related stays. To identify all pregnancy related stays, see PREGFLG. To identify all newborn stays in which a birth occurred category 5 should be used. SOPDFLG Flags indicating whether all the source of payment SOPFFLG percentages for the physician (SOPDFLG) and facility (SOPFFLG) expense for a stay were provided by the household respondent or imputed. SPSU To obtain variance estimates of sample statistics STRATUMX by means of standard statistical programs that use the Taylor series linearization method of variance estimation, variables must be used that denote the strata and primary sampling unit (PSU) within a given stratum. The variables STRATUMX and SPSU are these variables, respectively. For details on sampling weights and variance estimation, see the Technical and Programming section on this file and the hard copy documentation accompanying this
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