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 in | BMJ Vol. 305; no. 6854; pp. 627 - 630 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
England
British Medical Journal Publishing Group
12.09.1992
British Medical Association BMJ Publishing Group Ltd BMJ Publishing Group LTD |
Subjects | |
Online Access | Get full text |
ISSN | 0959-8138 1468-5833 1756-1833 |
DOI | 10.1136/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. |
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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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CitedBy_id | crossref_primary_10_1111_j_1464_5491_1994_tb02041_x crossref_primary_10_1177_014107680309600705 crossref_primary_10_1111_j_1753_6405_2012_00868_x crossref_primary_10_1136_bmj_305_6858_893 crossref_primary_10_1136_bmj_305_6858_893_a crossref_primary_10_1136_bmj_305_6858_892_c crossref_primary_10_1136_bmj_305_6858_893_b crossref_primary_10_1016_j_diabres_2013_11_020 crossref_primary_10_1016_S0169_2607_98_00026_1 crossref_primary_10_1002_pdi_263 crossref_primary_10_1016_0169_2607_94_90060_4 crossref_primary_10_1111_j_1464_5491_1994_tb00312_x crossref_primary_10_1136_jech_52_1_45 crossref_primary_10_1002_pdi_1960160215 crossref_primary_10_1038_eye_1999_43 crossref_primary_10_1053_beem_1999_0016 crossref_primary_10_1111_j_1464_5491_1994_tb00282_x crossref_primary_10_1002_pdi_1960160805 crossref_primary_10_1016_S0014_2565_03_71329_0 crossref_primary_10_1111_j_1464_5491_1993_tb00047_x crossref_primary_10_1016_S1134_282X_04_77739_8 crossref_primary_10_1136_bmj_307_6911_1046 |
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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Snippet | OBJECTIVES--To compile a district wide diabetic register of all diabetic patients registered with general practitioners in the catchment area of a single... 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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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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