Literature DB >> 9839095

Use of services by diabetes patients in managed care organizations. Development of a diabetes surveillance system. CDC Diabetes in Managed Care Work Group.

M M Engelgau1, L S Geiss, D L Manninen, C E Orians, E H Wagner, N M Friedman, J S Hurley, K M Trinkaus, D Shatin, K A Van Vorst.   

Abstract

OBJECTIVE: To develop a diabetes surveillance system that estimates the prevalence of diabetes and characterizes service use in diverse managed care organizations (MCOs). RESEARCH DESIGN AND METHODS: Computerized inpatient, pharmacy, outpatient, and laboratory records were used to develop an algorithm to identify diabetes patients and to develop surveillance indicators common to the three participating MCOs. Using 1993 data, the availability, specifications, and limitations of various surveillance indicators were determined.
RESULTS: An extensive set of diabetes surveillance indicators was identified from the four sources of data. Consistent data specifications across MCOs needed to consider variation in the type of data collected, a lack of documentation on level of coverage, differences in coding data, and different models of health care delivery. A total of 16,363 diabetes patients were identified. The age-adjusted prevalence of diabetes ranged from 24 to 29 per 1,000 enrollees. Approximately one-third of patients with diabetes (32-34%) were taking insulin. The majority had one or more visits to a primary care physician during the year (72-94%). Visits to specialists were less frequent. Ophthalmologists and optometrists were the most commonly used specialists: 29-60% of the patients with diabetes at the three MCOs had visited an ophthalmologist or optometrist. About one-fifth had an overnight hospital stay during the year.
CONCLUSIONS: This diabetes surveillance system is a useful tool for MCOs to track trends in prevalence of diabetes, use of health services, and delivery of preventive care to individuals with diabetes. This system may also be useful for health care planning and for assessing use changes after new developments in diabetes care or new quality management initiatives.

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Year:  1998        PMID: 9839095     DOI: 10.2337/diacare.21.12.2062

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


  7 in total

1.  Case-control study of 10 years of comprehensive diabetes care.

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2.  Construction of a multisite DataLink using electronic health records for the identification, surveillance, prevention, and management of diabetes mellitus: the SUPREME-DM project.

Authors:  Gregory A Nichols; Jay Desai; Jennifer Elston Lafata; Jean M Lawrence; Patrick J O'Connor; Ram D Pathak; Marsha A Raebel; Robert J Reid; Joseph V Selby; Barbara G Silverman; John F Steiner; W F Stewart; Suma Vupputuri; Beth Waitzfelder
Journal:  Prev Chronic Dis       Date:  2012-06-07       Impact factor: 2.830

3.  Medical expenditures associated with diabetes acute complications in privately insured U.S. youth.

Authors:  Sundar S Shrestha; Ping Zhang; Lawrence Barker; Giuseppina Imperatore
Journal:  Diabetes Care       Date:  2010-09-15       Impact factor: 19.112

4.  Medical expenditures associated with diabetes among privately insured U.S. youth in 2007.

Authors:  Sundar S Shrestha; Ping Zhang; Ann Albright; Giuseppina Imperatore
Journal:  Diabetes Care       Date:  2011-05       Impact factor: 19.112

5.  Low Rates of Preventive Healthcare Service Utilization Among Adolescents and Adults With Down Syndrome.

Authors:  Kristin M Jensen; Elizabeth J Campagna; Elizabeth Juarez-Colunga; Allan V Prochazka; Desmond K Runyan
Journal:  Am J Prev Med       Date:  2020-11-12       Impact factor: 5.043

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.  Identifying older diabetic patients at risk of poor glycemic control.

Authors:  Raffaele Antonelli Incalzi; Andrea Corsonello; Claudio Pedone; Francesco Corica; Luciana Carosella; Bruno Mazzei; Francesco Perticone; PierUgo Carbonin
Journal:  BMC Geriatr       Date:  2002-08-23       Impact factor: 3.921

  7 in total

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