Developing a district diabetic register

OBJECTIVES--To compile a district wide diabetic register of all diabetic patients registered with general practitioners in the catchment area of a single district general hospital and to compare different approaches to identifying patients. DESIGN--Information for a register was obtained from genera...

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Published inBMJ Vol. 305; no. 6854; pp. 627 - 630
Main Authors Burnett, S. D., Woolf, C. M., Yudkin, J. S.
Format Journal Article
LanguageEnglish
Published England British Medical Journal Publishing Group 12.09.1992
British Medical Association
BMJ Publishing Group Ltd
BMJ Publishing Group LTD
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Online AccessGet full text
ISSN0959-8138
1468-5833
1756-1833
DOI10.1136/bmj.305.6854.627

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Abstract OBJECTIVES--To compile a district wide diabetic register of all diabetic patients registered with general practitioners in the catchment area of a single district general hospital and to compare different approaches to identifying patients. DESIGN--Information for a register was obtained from general practitioners' practice registers, the Prescription Pricing Authority, and hospital diabetic clinic records. SETTING--Catchment area of an inner London district general hospital with a large diabetic clinic. SUBJECTS--All patients with a diagnosis of diabetes resident in or attending general practitioners or hospital clinics in the district or its catchment area. MAIN OUTCOME MEASURES--Prevalence of diabetes, population of patients elicited by different approaches, proportion attending the local district general hospital, cost of using prescription returns for identifying diabetic patients. RESULTS--4674 patients with diabetes were identified from all sources of information, which corresponds to a mean of 22.4 patients per general practitioner and the prevalence of known diabetes of 1.17%. 39.4% of patients identified had Prescription Pricing Authority returns and 42.8% of patients appeared on practices' diabetic registers. Only 56.5% of patients identified attended the district general hospital. For practices where all sources of information were available, practice registers included 60.4% of all patients, and prescription returns and the clinic register identified 64.9% and 40.6% respectively. The cost of using prescription returns to identify patients not detected in other ways was 6.37 pounds per patient. CONCLUSION--The task of developing district diabetic registers may prove, even in one cross sectional attempt, a major task in many inner city health districts.
AbstractList OBJECTIVES--To compile a district wide diabetic register of all diabetic patients registered with general practitioners in the catchment area of a single district general hospital and to compare different approaches to identifying patients. DESIGN--Information for a register was obtained from general practitioners' practice registers, the Prescription Pricing Authority, and hospital diabetic clinic records. SETTING--Catchment area of an inner London district general hospital with a large diabetic clinic. SUBJECTS--All patients with a diagnosis of diabetes resident in or attending general practitioners or hospital clinics in the district or its catchment area. MAIN OUTCOME MEASURES--Prevalence of diabetes, population of patients elicited by different approaches, proportion attending the local district general hospital, cost of using prescription returns for identifying diabetic patients. RESULTS--4674 patients with diabetes were identified from all sources of information, which corresponds to a mean of 22.4 patients per general practitioner and the prevalence of known diabetes of 1.17%. 39.4% of patients identified had Prescription Pricing Authority returns and 42.8% of patients appeared on practices' diabetic registers. Only 56.5% of patients identified attended the district general hospital. For practices where all sources of information were available, practice registers included 60.4% of all patients, and prescription returns and the clinic register identified 64.9% and 40.6% respectively. The cost of using prescription returns to identify patients not detected in other ways was 6.37 pounds per patient. CONCLUSION--The task of developing district diabetic registers may prove, even in one cross sectional attempt, a major task in many inner city health districts.
Objectives—To compile a district wide diabetic register of all diabetic patients registered with general practitioners in the catchment area of a single district general hospital and to compare different approaches to identifying patients. Design—Information for a register was obtained from general practitioners' practice registers, the Prescription Pricing Authority, and hospital diabetic clinic records. Setting—Catchment area of an inner London district general hospital with a large diabetic clinic. Subjects—All patients with a diagnosis of diabetes resident in or attending general practitioners or hospital clinics in the district or its catchment area. Main outcome measures—Prevalence of diabetes, population of patients elicited by different approaches, proportion attending the local district general hospital, cost of using prescription returns for identifying diabetic patients. Results—4674 patients with diabetes were identified from all sources of information, which corresponds to a mean of 22.4 patients per general practitioner and the prevalence of known diabetes of 1.17%. 39.4% of patients identified had Prescription Pricing Authority returns and 42.8% of patients appeared on practices' diabetic registers. Only 56.5% of patients identified attended the district general hospital. For practices where all sources of information were available, practice registers included 60.4% of all patients, and prescription returns and the clinic register identified 64.9% and 40.6% respectively. The cost of using prescription returns to identify patients not detected in other ways was £6.37 per patient. Conclusion—The task of developing district diabetic registers may prove, even in one cross sectional attempt, a major task in many inner city health districts.
To compile a district wide diabetic register of all diabetic patients registered with general practitioners in the catchment area of a single district general hospital and to compare different approaches to identifying patients. Information for a register was obtained from general practitioners' practice registers, the Prescription Pricing Authority, and hospital diabetic clinic records. Catchment area of an inner London district general hospital with a large diabetic clinic. All patients with a diagnosis of diabetes resident in or attending general practitioners or hospital clinics in the district or its catchment area. Prevalence of diabetes, population of patients elicited by different approaches, proportion attending the local district general hospital, cost of using prescription returns for identifying diabetic patients. 4674 patients with diabetes were identified from all sources of information, which corresponds to a mean of 22.4 patients per general practitioner and the prevalence of known diabetes of 1.17%. 39.4% of patients identified had Prescription Pricing Authority returns and 42.8% of patients appeared on practices' diabetic registers. Only 56.5% of patients identified attended the district general hospital. For practices where all sources of information were available, practice registers included 60.4% of all patients, and prescription returns and the clinic register identified 64.9% and 40.6% respectively. The cost of using prescription returns to identify patients not detected in other ways was 6.37 pounds per patient. The task of developing district diabetic registers may prove, even in one cross sectional attempt, a major task in many inner city health districts.
To compile a district wide diabetic register of all diabetic patients registered with general practitioners in the catchment area of a single district general hospital and to compare different approaches to identifying patients.OBJECTIVESTo compile a district wide diabetic register of all diabetic patients registered with general practitioners in the catchment area of a single district general hospital and to compare different approaches to identifying patients.Information for a register was obtained from general practitioners' practice registers, the Prescription Pricing Authority, and hospital diabetic clinic records.DESIGNInformation for a register was obtained from general practitioners' practice registers, the Prescription Pricing Authority, and hospital diabetic clinic records.Catchment area of an inner London district general hospital with a large diabetic clinic.SETTINGCatchment area of an inner London district general hospital with a large diabetic clinic.All patients with a diagnosis of diabetes resident in or attending general practitioners or hospital clinics in the district or its catchment area.SUBJECTSAll patients with a diagnosis of diabetes resident in or attending general practitioners or hospital clinics in the district or its catchment area.Prevalence of diabetes, population of patients elicited by different approaches, proportion attending the local district general hospital, cost of using prescription returns for identifying diabetic patients.MAIN OUTCOME MEASURESPrevalence of diabetes, population of patients elicited by different approaches, proportion attending the local district general hospital, cost of using prescription returns for identifying diabetic patients.4674 patients with diabetes were identified from all sources of information, which corresponds to a mean of 22.4 patients per general practitioner and the prevalence of known diabetes of 1.17%. 39.4% of patients identified had Prescription Pricing Authority returns and 42.8% of patients appeared on practices' diabetic registers. Only 56.5% of patients identified attended the district general hospital. For practices where all sources of information were available, practice registers included 60.4% of all patients, and prescription returns and the clinic register identified 64.9% and 40.6% respectively. The cost of using prescription returns to identify patients not detected in other ways was 6.37 pounds per patient.RESULTS4674 patients with diabetes were identified from all sources of information, which corresponds to a mean of 22.4 patients per general practitioner and the prevalence of known diabetes of 1.17%. 39.4% of patients identified had Prescription Pricing Authority returns and 42.8% of patients appeared on practices' diabetic registers. Only 56.5% of patients identified attended the district general hospital. For practices where all sources of information were available, practice registers included 60.4% of all patients, and prescription returns and the clinic register identified 64.9% and 40.6% respectively. The cost of using prescription returns to identify patients not detected in other ways was 6.37 pounds per patient.The task of developing district diabetic registers may prove, even in one cross sectional attempt, a major task in many inner city health districts.CONCLUSIONThe task of developing district diabetic registers may prove, even in one cross sectional attempt, a major task in many inner city health districts.
Audience Professional
Author Yudkin, J. S.
Burnett, S. D.
Woolf, C. M.
AuthorAffiliation Department of Medicine, University College and Middlesex School of Medicine, Whittington Hospital, London
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BackLink https://www.ncbi.nlm.nih.gov/pubmed/1294089$$D View this record in MEDLINE/PubMed
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Cites_doi 10.1111/j.1464-5491.1991.tb01698.x
10.1002/pdi.1960060312
10.1136/jech.43.1.25
10.1111/j.1464-5491.1990.tb01446.x
10.1136/jech.34.4.277
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COPYRIGHT 1992 BMJ Publishing Group Ltd.
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Objectives—To compile a district wide diabetic register of all diabetic patients registered with general practitioners in the catchment area of a single...
To compile a district wide diabetic register of all diabetic patients registered with general practitioners in the catchment area of a single district general...
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Aggregation Database
Index Database
Enrichment Source
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StartPage 627
SubjectTerms Catchment Area (Health) - statistics & numerical data
Cost-Benefit Analysis
Data Collection
Diabetes
Diabetes complications
Diabetes Mellitus - drug therapy
Diabetes Mellitus - epidemiology
Diabetics
Disease reporting
Diseases
Drug Prescriptions
Education & Debate
England - epidemiology
Ethics committees
Family Practice
General practice
Humans
Identification and classification
Inner cities
Musical register
Outpatient Clinics, Hospital - statistics & numerical data
Prescription drugs
Prevalence
Program Development - economics
Registries
Reporting
Unit costs
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Title Developing a district diabetic register
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