Literature DB >> 10217386

Use of the Decision Support System for VA cost-effectiveness research.

P G Barnett1, J H Rodgers.   

Abstract

BACKGROUND: The Department of Veterans Affairs is adopting the Decision Support System (DSS), computer software and databases which include a cost-accounting system which determines the cost of health care products and patient encounters.
OBJECTIVES: A system for providing cost data for cost-effectiveness analysis should be provide valid, detailed, and comprehensive data that can be aggregated.
METHODS: The design of DSS is described and compared with those criteria. Utilization data from DSS was compared with other VA utilization data. Aggregate DSS cost data from 35 medical centers was compared with relative resource weights developed for the Medicare program.
RESULTS: Data on hospital stays at 3 facilities found that 3.7% of the stays in DSS were not in the VA discharge database, whereas 7.6% of the stays in the discharge data were not in DSS. DSS reported between 68.8% and 97.1% of the outpatient encounters reported by six facilities in the ambulatory care data base. Relative weights for each Diagnosis Related Group based on DSS data from 35 VA facilities correlated with Medicare weights (correlation coefficient of .853).
CONCLUSIONS: DSS will be useful for research if certain problems are overcome. It is difficult to distinguish long-term from acute hospital care. VA does not have a complete database of all inpatient procedures, so DSS has not assigned them a specific cost. The authority to access encounter-level DSS data needs to be centralized. Researchers can provide the feedback needed to improve DSS cost estimates. A comprehensive encounter-level extract would facilitate use of DSS for research.

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Year:  1999        PMID: 10217386     DOI: 10.1097/00005650-199904002-00009

Source DB:  PubMed          Journal:  Med Care        ISSN: 0025-7079            Impact factor:   2.983


  7 in total

1.  The performance of administrative and self-reported measures for risk adjustment of Veterans Affairs expenditures.

Authors:  Matthew L Maciejewski; Chuan-Fen Liu; Ann Derleth; Mary McDonell; Steve Anderson; Stephan D Fihn
Journal:  Health Serv Res       Date:  2005-06       Impact factor: 3.402

2.  Economic Analysis of Primary Care-Based Physical Activity Counseling in Older Men: The VA-LIFE Trial.

Authors:  Patricia A Cowper; Matthew J Peterson; Carl F Pieper; Richard J Sloane; Katherine S Hall; Eleanor S McConnell; Hayden B Bosworth; Carola C Ekelund; Megan P Pearson; Miriam C Morey
Journal:  J Am Geriatr Soc       Date:  2017-02-02       Impact factor: 5.562

Review 3.  The association between an ultrabrief cognitive screening in older adults and hospital outcomes.

Authors:  Andrea M Yevchak; Kelly Doherty; Elizabeth G Archambault; Brittany Kelly; Jennifer R Fonda; James L Rudolph
Journal:  J Hosp Med       Date:  2015-09-16       Impact factor: 2.960

Review 4.  Emergent Challenges in Determining Costs for Economic Evaluations.

Authors:  Josephine C Jacobs; Paul G Barnett
Journal:  Pharmacoeconomics       Date:  2017-02       Impact factor: 4.981

5.  Value Driven Outcomes (VDO): a pragmatic, modular, and extensible software framework for understanding and improving health care costs and outcomes.

Authors:  Kensaku Kawamoto; Cary J Martin; Kip Williams; Ming-Chieh Tu; Charlton G Park; Cheri Hunter; Catherine J Staes; Bruce E Bray; Vikrant G Deshmukh; Reid A Holbrook; Scott J Morris; Matthew B Fedderson; Amy Sletta; James Turnbull; Sean J Mulvihill; Gordon L Crabtree; David E Entwistle; Quinn L McKenna; Michael B Strong; Robert C Pendleton; Vivian S Lee
Journal:  J Am Med Inform Assoc       Date:  2014-10-16       Impact factor: 4.497

6.  Comparison of Accessibility, Cost, and Quality of Elective Coronary Revascularization Between Veterans Affairs and Community Care Hospitals.

Authors:  Paul G Barnett; Juliette S Hong; Evan Carey; Gary K Grunwald; Karen Joynt Maddox; Thomas M Maddox
Journal:  JAMA Cardiol       Date:  2018-02-01       Impact factor: 14.676

7.  Longitudinal comparison of direct medical cost, radiological and health-related quality of life treatment outcomes between traditional growing rods and magnetically controlled growing rods from preoperative to maturity.

Authors:  Prudence Wing Hang Cheung; Carlos King Ho Wong; Jewel T Sadiang-Abay; Sin Ting Lau; Jason Pui Yin Cheung
Journal:  BMC Musculoskelet Disord       Date:  2022-08-18       Impact factor: 2.562

  7 in total

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