Literature DB >> 9540017

Diabetes prevalence and hospital and pharmacy use in the Veterans Health Administration (1994). Use of an ambulatory care pharmacy-derived database.

L M Pogach1, G Hawley, R Weinstock, C Sawin, H Schiebe, F Cutler, F Zieve, M Bates, D Repke.   

Abstract

OBJECTIVE: To develop a diabetes registry from an outpatient pharmacy database to systematically analyze the prevalence of diabetes, patterns of glycemic medication and glucose monitoring, pharmacy costs, and hospital use related to diabetes care in the Veterans Health Administration (VHA) in fiscal year (FY) 1994. RESEARCH DESIGN AND METHODS: Veterans with diabetes were identified using a software program that extracted the social security number (SSN) of patients receiving insulin, sulfonylurea agents, or glucose-monitoring supplies. The cumulative FY94 cost for a drug was calculated by multiplying the units dispensed times the unit cost for each fill, using the actual drug cost that was in effect at the time of dispensing. Admission data were obtained by crossmatching the SSN registry with the VHA Austin Mainframe Patient Treatment Files to retrieve associated diagnosis-related groups (DRG), Physicians' Current Procedural Terminology (CPT), and International Classification of Diseases, 9th revision, Clinical Modification (ICD-9-CM) codes.
RESULTS: From among 1,180,260 unique patients, 139,646 veterans with diabetes receiving insulin, oral agents, or glucose-monitoring strips were identified, accounting for a prevalence of 11.83% from 62 Veterans Administration medical centers. There were 63,078 individuals (52%) who received oral agents, of whom 26.3% also received blood glucose-monitoring supplies; 46,664 individuals (39%) received insulin, of whom 53.2% received blood glucose-monitoring supplies; and 9,440 individuals (8%) received both oral agents and insulin during FY94, with 64.4% receiving blood glucose-monitoring supplies. Only 1,482 (1.2%) individuals received monitoring supplies alone, and 129 patients (0.1%) were provided with an insulin pump. Using an adjusted data set, 12% of veterans accounted for 24% of all outpatient pharmacy costs, with an average expenditure of $622 for veterans with diabetes compared with $276 for veterans without diabetes. There was $454 (73%) for non-diabetes-specific prescriptions and $168 (27%) for prescriptions related to glycemic control. Of pharmacy expenditures for glycemic control, $101 (60.1%) was attributed to insulin, oral agents, and supplies, while $67 (39.9%) was attributable to glucose monitoring. Veterans with diabetes were admitted 1.6 times as frequently as veterans without diabetes.
CONCLUSIONS: This study demonstrates the feasibility of using a pharmacy-based electronic diabetes database in a payor system that can track both claims and individual classes of medication based on a unique identifier number. While the prevalence of diabetes in the VHA is high relative to other health care systems and the general population, patterns of medication usage, pharmacy costs, and relative admission frequency are comparable to results from the private sector.

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Year:  1998        PMID: 9540017     DOI: 10.2337/diacare.21.3.368

Source DB:  PubMed          Journal:  Diabetes Care        ISSN: 0149-5992            Impact factor:   19.112


  7 in total

1.  Hospital admission rates for a racially diverse low-income cohort of patients with diabetes: the Urban Diabetes Study.

Authors:  Jessica M Robbins; David A Webb
Journal:  Am J Public Health       Date:  2006-05-30       Impact factor: 9.308

2.  The relative importance of physician communication, participatory decision making, and patient understanding in diabetes self-management.

Authors:  Michele Heisler; Reynard R Bouknight; Rodney A Hayward; Dylan M Smith; Eve A Kerr
Journal:  J Gen Intern Med       Date:  2002-04       Impact factor: 5.128

3.  The epidemiology of hospital-acquired urinary tract-related bloodstream infection in veterans.

Authors:  Payal K Patel; M Todd Greene; Mary A M Rogers; David Ratz; Latoya Kuhn; Jennifer Davis; Sanjay Saint
Journal:  Am J Infect Control       Date:  2018-03-13       Impact factor: 2.918

4.  Reliability and validity of an instrument for assessing patients' perceptions about medications for diabetes: the PAM-D.

Authors:  Patrick O Monahan; Kathleen A Lane; Risa P Hayes; Colleen A McHorney; David G Marrero
Journal:  Qual Life Res       Date:  2009-07-16       Impact factor: 4.147

5.  The impact of diabetes on prescription drug costs: the population-based Turin study.

Authors:  G Bruno; L Karaghiosoff; F Merletti; G Costa; M De Maria; F Panero; O Segre; P Cavallo-Perin; R Gnavi
Journal:  Diabetologia       Date:  2008-03-04       Impact factor: 10.122

6.  Identifying patients with diabetes and the earliest date of diagnosis in real time: an electronic health record case-finding algorithm.

Authors:  Anil N Makam; Oanh K Nguyen; Billy Moore; Ying Ma; Ruben Amarasingham
Journal:  BMC Med Inform Decis Mak       Date:  2013-08-01       Impact factor: 2.796

7.  The effects of pharmacist interventions on patients with polypharmacy.

Authors:  Elinor C Chumney; Leslie C Robinson
Journal:  Pharm Pract (Granada)       Date:  2006-07
  7 in total

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