/*****************************************************************************/ /* SPSS User Files are being provided for the convenience of analysts who */ /* may wish to use SPSS to analyze the MEPS data. However, users are */ /* cautioned that SPSS does not currently have the capability to produce */ /* appropriate standard errors for estimates from a survey with a complex */ /* sample design like the Medical Expenditure Panel Survey (MEPS). The */ /* annual national probability sample of households selected for the MEPS */ /* is a subsample of those participating in the National Health Interview */ /* Survey (NHIS) for the previous calendar year. The NHIS, an ongoing */ /* general health survey of the civilian noninstitutionalized population, */ /* is conducted by the National Center for Health Statistics, Centers for */ /* Disease Control and Prevention. The NHIS sample design, and thus that */ /* of the MEPS, uses complex sampling techniques including */ /* stratification, clustering, and differential sampling rates for the */ /* oversampling of selected subgroups of the population. Because of this */ /* sampling structure, software that accounts for this complex sample */ /* design must be used. Without the use of appropriate software that */ /* accounts for the complex sample design of the MEPS in conjunction with */ /* the survey's sampling weights (reflecting the survey's sample */ /* selection probabilities and nonresponse and other adjustments), the */ /* estimated standard errors of survey point estimates will generally be */ /* underestimated, and, thus, the inferential conclusions in an analysis */ /* (descriptive or analytical) may be misleading. It is recommended that */ /* sample survey software be used to analyze the MEPS data. Software for */ /* analysis of complex survey data include, for example, SUDAAN (Research */ /* Triangle Institute), STATA (Stata Corporation), VPLX (U.S. Bureau of */ /* the Census), and WESVAR (Westat, Inc.). A more comprehensive summary */ /* of software for the analysis of data from surveys with complex sample */ /* designs can be accessed through the website for the American */ /* Statistical Association's Survey Research Methods Section. Users may */ /* also reference the Agency for Healthcare Research and Quality (AHRQ) */ /* web document "Computing Standard Errors for Medical Expenditure Panel */ /* Survey (MEPS) Estimates." */ /*****************************************************************************/ FILE HANDLE INFILE NAME="H214.DAT" /LRECL=105. DATA LIST FILE=INFILE / DUID 1-7 (A) PID 8-10 DUPERSID 11-20 (A) CONDN 21-22 CONDIDX 23-35 (A) PANEL 36-37 CONDRN 38-38 AGEDIAG 39-41 CRND1 42-43 CRND2 44-45 CRND3 46-46 CRND4 47-48 CRND5 49-50 INJURY 51-51 ACCDNWRK 52-54 ICD10CDX 55-57 (A) CCSR1X 58-63 (A) CCSR2X 64-69 (A) CCSR3X 70-75 (A) HHNUM 76-77 IPNUM 78-78 OPNUM 79-81 OBNUM 82-84 ERNUM 85-86 RXNUM 87-88 PERWT19F 89-100 (6) VARSTR 101-104 VARPSU 105-105 . VARIABLE LABEL DUID "PANEL # + ENCRYPTED DU IDENTIFIER" PID "PERSON NUMBER" DUPERSID "PERSON ID (DUID + PID)" CONDN "CONDITION NUMBER" CONDIDX "CONDITION ID" PANEL "PANEL NUMBER" CONDRN "CONDITION ROUND NUMBER" AGEDIAG "AGE WHEN DIAGNOSED" CRND1 "HAS CONDITION INFORMATION IN ROUND 1" CRND2 "HAS CONDITION INFORMATION IN ROUND 2" CRND3 "HAS CONDITION INFORMATION IN ROUND 3" CRND4 "HAS CONDITION INFORMATION IN ROUND 4" CRND5 "HAS CONDITION INFORMATION IN ROUND 5" INJURY "WAS CONDITION DUE TO ACCIDENT/INJURY" ACCDNWRK "DID ACCIDENT OCCUR AT WORK" ICD10CDX "ICD-10-CM CODE FOR CONDITION - EDITED" CCSR1X "CLINICAL CLASSIFICATION REFINED CODE 1- EDITED" CCSR2X "CLINICAL CLASSIFICATION REFINED CODE 2- EDITED" CCSR3X "CLINICAL CLASSIFICATION REFINED CODE 3- EDITED" HHNUM "# HOME HEALTH EVENTS ASSOC. W/ CONDITION" IPNUM "# INPATIENT EVENTS ASSOC. W/ CONDITION" OPNUM "# OUTPATIENT EVENTS ASSOC. W/ CONDITION" OBNUM "# OFFICE-BASED EVENTS ASSOC W/ CONDITION" ERNUM "# ER EVENTS ASSOC. W/ CONDITION" RXNUM "# PRESCRIBED MEDICINES ASSOC. W/ COND." PERWT19F "EXPENDITURE FILE PERSON WEIGHT, 2019" VARSTR "VARIANCE ESTIMATION STRATUM, 2019" VARPSU "VARIANCE ESTIMATION PSU, 2019" . VALUE LABELS ACCDNWRK -1 "-1 INAPPLICABLE" -15 "-15 CANNOT BE COMPUTED" -7 "-7 REFUSED" -8 "-8 DK" 1 "1 YES" 2 "2 NO" 3 "3 DOES NOT WORK" / AGEDIAG -1 "-1 INAPPLICABLE" -15 "-15 CANNOT BE COMPUTED" -7 "-7 REFUSED" -8 "-8 DK" / CCSR1X '-1' "-1 INAPPLICABLE" '-15' "-15 CANNOT BE COMPUTED" / CCSR2X '-1' "-1 INAPPLICABLE" '-15' "-15 CANNOT BE COMPUTED" / CCSR3X '-1' "-1 INAPPLICABLE" '-15' "-15 CANNOT BE COMPUTED" / CONDRN 1 "1 ROUND 1" 2 "2 ROUND 2" 3 "3 ROUND 3" 4 "4 ROUND 4" 5 "5 ROUND 5" / CRND1 -1 "-1 INAPPLICABLE" 0 "0 NO" 1 "1 YES" / CRND2 -1 "-1 INAPPLICABLE" 0 "0 NO" 1 "1 YES" / CRND3 -1 "-1 INAPPLICABLE" 0 "0 NO" 1 "1 YES" / CRND4 -1 "-1 INAPPLICABLE" 0 "0 NO" 1 "1 YES" / CRND5 -1 "-1 INAPPLICABLE" 0 "0 NO" 1 "1 YES" / ICD10CDX '-1' "-1 INAPPLICABLE" '-15' "-15 CANNOT BE COMPUTED" / INJURY -15 "-15 CANNOT BE COMPUTED" 1 "1 YES" 2 "2 NO" / PANEL 23 "23 PANEL 23" 24 "24 PANEL 24" . EXECUTE.