BACKGROUND: In the UK, explicit quality standards for chronic disease management, including for diabetes and chronic kidney disease (CKD), are set out National Service Frameworks and pay-for-performance indicators. These conditions are common with a prevalence of 4% and 5.4%, respectively. CKD is largely asymptomatic, detected following renal function testing and important because associated with increased mortality and morbidity, especially in people with diabetes and proteinuria. OBJECTIVES: To investigate who has their renal function tested and any association with age, sex, ethnicity and diabetes. METHOD: A cross-sectional survey in a primary care research network in south-west London (n = 220 721). The following data were extracted from routine data: age, gender, ethnicity, latest serum creatinine, diagnosis of diabetes and recording of proteinuria. We used logistic regression to explore any association in testing for CKD. RESULTS: People (82.1%) with diabetes had renal function and proteinuria tested; the proportion was much smaller (<0.5%) in those without. Women were more likely to have a creatinine test than men (28% versus 24%, P < 0.05), but this association was modified by age, ethnicity and presence of diabetes. People >75 years and with diabetes were most likely to have been tested. Black [adjusted odds ratio (AOR) 2.1, 95% confidence interval (CI) 2.0-2.2] and south Asian (AOR 1.65, 95% CI 1.56-1.75) patients were more likely to be tested than whites. Those where ethnicity was not stated were the only group not tested more than whites. CONCLUSIONS: Quality improvement initiatives and equity audits, which include CKD should take account of disparities in renal function testing.
BACKGROUND: In the UK, explicit quality standards for chronic disease management, including for diabetes and chronic kidney disease (CKD), are set out National Service Frameworks and pay-for-performance indicators. These conditions are common with a prevalence of 4% and 5.4%, respectively. CKD is largely asymptomatic, detected following renal function testing and important because associated with increased mortality and morbidity, especially in people with diabetes and proteinuria. OBJECTIVES: To investigate who has their renal function tested and any association with age, sex, ethnicity and diabetes. METHOD: A cross-sectional survey in a primary care research network in south-west London (n = 220 721). The following data were extracted from routine data: age, gender, ethnicity, latest serum creatinine, diagnosis of diabetes and recording of proteinuria. We used logistic regression to explore any association in testing for CKD. RESULTS:People (82.1%) with diabetes had renal function and proteinuria tested; the proportion was much smaller (<0.5%) in those without. Women were more likely to have a creatinine test than men (28% versus 24%, P < 0.05), but this association was modified by age, ethnicity and presence of diabetes. People >75 years and with diabetes were most likely to have been tested. Black [adjusted odds ratio (AOR) 2.1, 95% confidence interval (CI) 2.0-2.2] and south Asian (AOR 1.65, 95% CI 1.56-1.75) patients were more likely to be tested than whites. Those where ethnicity was not stated were the only group not tested more than whites. CONCLUSIONS: Quality improvement initiatives and equity audits, which include CKD should take account of disparities in renal function testing.
Authors: Vincent A Van Gelder; Nynke D Scherpbier-De Haan; Wim J C De Grauw; Gerald M M Vervoort; Chris Van Weel; Marion C J Biermans; Jozé C C Braspenning; Jack F M Wetzels Journal: Scand J Prim Health Care Date: 2016-02-06 Impact factor: 2.581
Authors: Danielle M Nash; Scott Brimble; Maureen Markle-Reid; Eric McArthur; Karen Tu; Gihad E Nesrallah; Allan Grill; Amit X Garg Journal: Can J Kidney Health Dis Date: 2017-05-23
Authors: Simon de Lusignan; Simon de Lusignana; Hugh Gallagher; Simon Jones; Tom Chan; Jeremy van Vlymen; Aumran Tahir; Nicola Thomas; Neerja Jain; Olga Dmitrieva; Imran Rafi; Andrew McGovern; Kevin Harris Journal: Kidney Int Date: 2013-03-27 Impact factor: 10.612
Authors: Ana Correa; William Hinton; Andrew McGovern; Jeremy van Vlymen; Ivelina Yonova; Simon Jones; Simon de Lusignan Journal: BMJ Open Date: 2016-04-20 Impact factor: 2.692
Authors: Jason Oke; Brian Shine; Emily McFadden; Richard Stevens; Daniel Lasserson; Rafael Perera Journal: BMJ Open Date: 2015-12-16 Impact factor: 2.692