Predicting healthcare costs in a population of veterans affairs beneficiaries using diagnosis-based risk adjustment and self-reported health status

Medical Care

Volumn 42, Issue 10, 2004, Pages 1027-1035

  Pietz, Kenneth ^a,b,e   Ashton, Carol M ^a,b   McDonell, Mary ^c   Wray, Nelda P ^d  

^a Houston Ctr Qual Care Utiliz S   (United States)

^b BAYLOR COLLEGE OF MEDICINE   (United States)

^c VA PUGET SOUND HEALTH CARE SYSTEM   (United States)

^d DEPARTMENT OF VETERANS AFFAIRS   (United States)

^e MICHAEL E DEBAKEY VETERANS AFFAIRS MEDICAL CENTER   (United States)

Author keywords

Case mix; Health status; Risk adjustment

Indexed keywords

ACCURACY; ADULT; AGED; COHORT ANALYSIS; CONTROLLED STUDY; DATA BASE; DEMOGRAPHY; DIAGNOSIS RELATED GROUP; ERROR; FEMALE; HEALTH CARE COST; HEALTH STATUS; HEALTH SURVEY; HUMAN; LINEAR REGRESSION ANALYSIS; MAJOR CLINICAL STUDY; MALE; METHODOLOGY; MODEL; PREDICTION; RATING SCALE; REVIEW; RISK ASSESSMENT; SCORING SYSTEM; SELF REPORT; SOLDIER; VALIDATION PROCESS; AGE; ARTICLE; CHI SQUARE DISTRIBUTION; COMPARATIVE STUDY; EVALUATION; INFORMATION PROCESSING; MIDDLE AGED; QUESTIONNAIRE; SEX DIFFERENCE; STATISTICAL MODEL;

ADULT; AGE FACTORS; AGED; AGED, 80 AND OVER; CHI-SQUARE DISTRIBUTION; COHORT STUDIES; DATA COLLECTION; DIAGNOSIS-RELATED GROUPS; FEMALE; HEALTH CARE COSTS; HEALTH STATUS; HUMANS; LINEAR MODELS; MALE; MIDDLE AGED; QUESTIONNAIRES; RISK ADJUSTMENT; SEX FACTORS;

EID: 6344263679     PISSN: 00257079     EISSN: None     Source Type: Journal    
DOI: 10.1097/00005650-200410000-00012     Document Type: Review

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