Abstract

The majority of patients with chronic kidney disease (CKD) stages 3-5 are managed within primary care. We describe the effects, on patient outcomes, of the introduction of an algorithm-based, primary care disease management programme (DMP) for patients with CKD based on automated diagnosis using estimated glomerular filtration rate (eGFR) reporting. Patients within West Lincolnshire Primary Care Trust, UK, population 223, 287 with CKD stage 4 or 5 were enrolled within the DMP between March 2005 and October 2006. We have analysed the performance against clinical targets looking at a change in renal function prior to and following joining the DMP and the proportion of patients achieving clinical targets for blood pressure control and lipid abnormalities. Four hundred and eighty-three patients with CKD stage 4 or 5 were enrolled in the programme. There were significant improvements in the following parameters, expressed as median values (interquartile range) after 9 months in the programme, compared to baseline and percentage values patients achieving target at 9 months: total cholesterol 4.2 (3.45-5.0) mmol/l versus 4.6 (3.9-5.4) mmol/l (P < 0.01), 75.0% versus 64.5% (P < 0.001); LDL 2.2 (1.6-2.8) mmol/l versus 2.5 (1.9-3.2) mmol/l (P < 0.01), 81.9% versus 69.2% (P < 0.05); systolic blood pressure 130 (125-145) mmHg versus 139 (124-154) mmHg (P < 0.05), 56.2% versus 37.1% (P < 0.05) and diastolic blood pressure 71 (65-79) mmHg versus 76 (69-84) mmHg (P < 0.01), 68.4% versus 90.3% (P < 0.01). The median fall (interquartile range) in eGFR in the 9 months prior to joining the programme was 3.69 (1.49-7.46) ml/min/1.73 m(2) compared to 0.32 (-2.61-3.12) ml/min/1.73 m(2) in the 12 months after enrolment (P < 0.001). One hundred and twenty-two patients experienced a fall in eGFR of > or = 5 ml/min/1.73 m(2), median 9.90 (6.55-12.36) ml/min/1.73 m(2) in the 9 months prior to joining the programme, whilst in the 12 months after enrolment, their median fall in eGFR was -1.70 (-6.41-1.64) ml/min/1.73 m(2) (P < 0.001). In the remaining patients, the median fall in eGFR was 1.92 (0.41-3.23) ml/min/1.73 m(2) prior to joining the programme and 0.86 (-1.03-3.53) ml/min/1.73 m(2) in the 12 months after enrolment (P = 0.082). These data suggest that chronic disease management in this form is an effective method of identifying and managing patients with CKD within the UK. The improvement in cardiovascular risk factors and reduction in the rate of decline of renal function potentially have significant health benefits for the patients and should result in cost savings for the health economy.

Highlights

  • Chronic kidney disease (CKD) is a growing public health problem [1,2,3,4]

  • On patient outcomes, of the introduction of an algorithm-based, primary care disease management programme (DMP) for patients with chronic kidney disease (CKD) based on automated diagnosis using estimated glomerular filtration rate reporting

  • This paper describes the results in terms of patient outcomes against defined and audited clinical targets of a primary care-based DMP introduced to West Lincolnshire Primary Care Trust (WLPCT) in April 2005

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Summary

Introduction

Chronic kidney disease (CKD) is a growing public health problem [1,2,3,4]. The introduction of estimated glomerular filtration rate (eGFR) reporting and the inclusion of CKD in the quality and outcomes framework (QOF) of the general practitioner contract in 2006 have highlighted the issue in the UK [5,6]. Disease management programmes (DMPs) for patients with CKD have been used to address this problem within the USA for some years and have been shown to be effective [10,13,14,15]. The goals of such programmes are to fill the gaps in current care thereby improving patient outcomes and reducing resource utilization, i.e. cost. Were enrolled in the programme, risk stratified and treated according to the relevant algorithms At this stage, retrospective laboratory data were obtained where available. Logistic regression analysis was undertaken using SPSS version 15.0 (SPSS inc., Chicago, IL, USA, 2006)

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