Literature DB >> 10321397

Quality of care of patients with diabetes: collation of data from multi-practice audits of diabetes in primary care.

K Khunti1, R Baker, M Rumsey, M Lakhani.   

Abstract

BACKGROUND: GPs are now playing a greater role in the care of patients with diabetes. The challenges described in the Saint Vincent Joint Task Force Report include achievement of a reduction in long-term complications by collecting key clinical information and systematically organizing care of patients with diabetes. The number of practices conducting audit and the number of primary care audit groups conducting multi-practice audits of diabetes have increased since the introduction of audit in 1991.
OBJECTIVES: We aimed to determine the feasibility of collating data from multi-practice audits of diabetes in primary care and to describe the pattern of care for diabetes patients in primary care.
METHODS: A confidential postal questionnaire was sent to all medical audit advisory groups that had completed a multi-practice audit of diabetic care. The main outcome measures studied were prevalence and treatment of known diabetes and annual compliance with key process measures.
RESULTS: Data could be collated for 17 of the 25 audit groups that supplied data representing information from 495 practices with 38 288 diabetic patients. Seven audit groups supplied data from a population denominator comprising 1475512 patients giving a prevalence of 1.46% (range 1.1-1.7%), 50.7% (range 32.5-69.0%) were managed by general practice only, 19.1% (7.6-39.7%) by hospital care only and 30.2% (11.0-49.5%) by shared care. Annual mean compliance for process measures showed wide variations: glycated haemoglobin or fructosamine checked for 72.5% (range 25.3-89.3%), fundi checked for 67.5% (57.8-86.6%), urine checked for 65.8% (27.5-80.0%), blood pressure checked for 87.6% (76.9-96.5%), smoking checked for 71.45 (21.9-86.0%), feet checked for 67.7% (40.0-90.8%) and BMI checked for 52.5% (26.4-68.2%).
CONCLUSION: This study shows the feasibility of collating audit data and the potential of this approach for describing patterns of care and highlighting general and local deficiencies. Information about levels of performance in large numbers of patients can be used to set standards or norms against which individual practitioners can compare their own activity. Comparison of the health needs of local populations with national data could be used to inform commissioning services. However, audits should employ uniform evidence-based criteria so as to facilitate collation and allow comparison.

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Year:  1999        PMID: 10321397     DOI: 10.1093/fampra/16.1.54

Source DB:  PubMed          Journal:  Fam Pract        ISSN: 0263-2136            Impact factor:   2.267


  7 in total

1.  Clinical governance for diabetes in primary care: use of practice guidelines and participation in multi-practice audit.

Authors:  K Khunti; R Baker; S Ganguli
Journal:  Br J Gen Pract       Date:  2000-11       Impact factor: 5.386

2.  Multifaceted support to improve preventive cardiovascular care: a nationwide, controlled trial in general practice.

Authors:  Bernardd Frijling; Marlies E J L Hulscher; Lilian A T M van Leest; Jozé C C Braspenning; Henk van den Hoogen; Antonius J M Drenthen; Richard P T M Grol
Journal:  Br J Gen Pract       Date:  2003-12       Impact factor: 5.386

3.  Meta-analysis of diabetes care in general practice. All glucose meters must be subject to formal quality control measures.

Authors:  I Barlow; S Beer; N Summerton
Journal:  BMJ       Date:  1999-02-13

4.  Features of primary care associated with variations in process and outcome of care of people with diabetes.

Authors:  K Khunti; S Ganguli; R Baker; A Lowy
Journal:  Br J Gen Pract       Date:  2001-05       Impact factor: 5.386

5.  Identifying predictors of high quality care in English general practice: observational study.

Authors:  S M Campbell; M Hann; J Hacker; C Burns; D Oliver; A Thapar; N Mead; D G Safran; M O Roland
Journal:  BMJ       Date:  2001-10-06

6.  Patient characteristics do not predict poor glycaemic control in type 2 diabetes patients treated in primary care.

Authors:  Alex N Goudswaard; Ronald P Stolk; Peter Zuithoff; Guy E H M Rutten
Journal:  Eur J Epidemiol       Date:  2004       Impact factor: 8.082

7.  A structured registration program can be validly used for quality assessment in general practice.

Authors:  Andrea S Fokkens; P Auke Wiegersma; Sijmen A Reijneveld
Journal:  BMC Health Serv Res       Date:  2009-12-21       Impact factor: 2.655

  7 in total

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