Literature DB >> 10830666

Eye examinations for VA patients with diabetes: standardizing performance measures.

D Jones1, A Hendricks, C Comstock, A Rosen, B H Chang, J Rothendler, C Hankin, M Prashker.   

Abstract

OBJECTIVE: To demonstrate the potential of the Health Plan Employer Data and Information Set (HEDIS) for the calculation of a performance measure for eye exams in the diabetic population using Veterans Health Administration (VA) administrative data.
DESIGN: We calculated a 1-year HEDIS-defined patient denominator and three alternative denominators that considered coding factors in identifying a VA patient as diabetic. We calculated the HEDIS-defined numerator, along with alternative specifications that captured other types of eye exams. Finally, we supplemented national data with VA pharmacy and Medicare claims data to identify all VA diabetic patients at 14 selected VA facilities and to establish a more accurate picture of non-VA health care utilization.
RESULTS: The national average annual HEDIS-defined eye exam rate in the VA was 26% in fiscal 1997 compared with 39% for managed care organizations. Medicare utilization raised this by 15 percentage points at 14 northeastern VA hospitals. Over 2 years, at least two-thirds of diabetic VA patients had some type of eye exam through VA or Medicare.
CONCLUSION: A HEDIS measure of eye exams for VA patients with diabetes can be calculated using VA administrative data only. However, the question remains to what extent the denominator and numerator accurately and completely identify all diabetic patients using VA services and all appropriate eye exams. We recommend caution in interpreting the results of performance measurement across different health care sectors based on what we currently know are data system limitations.

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Year:  2000        PMID: 10830666     DOI: 10.1093/intqhc/12.2.97

Source DB:  PubMed          Journal:  Int J Qual Health Care        ISSN: 1353-4505            Impact factor:   2.038


  7 in total

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Authors:  Sarah L Krein; Timothy P Hofer; Eve A Kerr; Rodney A Hayward
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2.  Use of electronic medical record data for quality improvement in schizophrenia treatment.

Authors:  Richard R Owen; Carol R Thrush; Dale Cannon; Kevin L Sloan; Geoff Curran; Teresa Hudson; Mark Austen; Mona Ritchie
Journal:  J Am Med Inform Assoc       Date:  2004-06-07       Impact factor: 4.497

3.  Clinical improvement associated with conformance to HEDIS-based depression care.

Authors:  Kathryn Rost; L Miriam Dickinson; John Fortney; John Westfall; Richard C Hermann
Journal:  Ment Health Serv Res       Date:  2005-06

4.  Causes of preventable visual loss in type 2 diabetes mellitus: an evaluation of suboptimally timed retinal photocoagulation.

Authors:  Rodney A Hayward; Claude Cowan; Veda Giri; Mary G Lawrence; Fatima Makki
Journal:  J Gen Intern Med       Date:  2005-05       Impact factor: 5.128

5.  Diabetes care among veteran women with disability.

Authors:  Chin-Lin Tseng; Usha Sambamoorthi; Anjali Tiwari; Mangala Rajan; Patricia Findley; Leonard Pogach
Journal:  Womens Health Issues       Date:  2006 Nov-Dec

6.  Identifying performance indicators for family practice: assessing levels of consensus.

Authors:  Jan Barnsley; Whitney Berta; Rhonda Cockerill; Judith MacPhail; Eugene Vayda
Journal:  Can Fam Physician       Date:  2005-05       Impact factor: 3.275

7.  Preventive health care measures before and after start of renal replacement therapy.

Authors:  Wolfgang C Winkelmayer; William Owen; Robert J Glynn; Raisa Levin; Jerry Avorn
Journal:  J Gen Intern Med       Date:  2002-08       Impact factor: 5.128

  7 in total

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