Long-term monitoring in primary care for chronic kidney disease and chronic heart failure: a multi-method research programme
Background: Long-term monitoring is important in chronic condition management. Despite considerable costs of monitoring, there is no or poor evidence on how, what and when to monitor. The aim of this study was to improve understanding, methods, evidence base and practice of clinical monitoring in pr...
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Format: | Article |
Language: | English |
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NIHR Journals Library
2021-08-01
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Series: | Programme Grants for Applied Research |
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Online Access: | https://doi.org/10.3310/pgfar09100 |
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doaj-41b3c5a60e2444a791bd8cfe2995ced1 |
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record_format |
Article |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Rafael Perera Richard Stevens Jeffrey K Aronson Amitava Banerjee Julie Evans Benjamin G Feakins Susannah Fleming Paul Glasziou Carl Heneghan FD Richard Hobbs Louise Jones Milena Kurtinecz Daniel S Lasserson Louise Locock Julie McLellan Borislava Mihaylova Christopher A O’Callaghan Jason L Oke Nicola Pidduck Annette Plüddemann Nia Roberts Iryna Schlackow Brian Shine Claire L Simons Clare J Taylor Kathryn S Taylor Jan Y Verbakel Clare Bankhead |
spellingShingle |
Rafael Perera Richard Stevens Jeffrey K Aronson Amitava Banerjee Julie Evans Benjamin G Feakins Susannah Fleming Paul Glasziou Carl Heneghan FD Richard Hobbs Louise Jones Milena Kurtinecz Daniel S Lasserson Louise Locock Julie McLellan Borislava Mihaylova Christopher A O’Callaghan Jason L Oke Nicola Pidduck Annette Plüddemann Nia Roberts Iryna Schlackow Brian Shine Claire L Simons Clare J Taylor Kathryn S Taylor Jan Y Verbakel Clare Bankhead Long-term monitoring in primary care for chronic kidney disease and chronic heart failure: a multi-method research programme Programme Grants for Applied Research monitoring chronic kidney disease chronic heart failure primary care all-cause mortality cardiovascular events hospital admission accuracy cost-effectiveness |
author_facet |
Rafael Perera Richard Stevens Jeffrey K Aronson Amitava Banerjee Julie Evans Benjamin G Feakins Susannah Fleming Paul Glasziou Carl Heneghan FD Richard Hobbs Louise Jones Milena Kurtinecz Daniel S Lasserson Louise Locock Julie McLellan Borislava Mihaylova Christopher A O’Callaghan Jason L Oke Nicola Pidduck Annette Plüddemann Nia Roberts Iryna Schlackow Brian Shine Claire L Simons Clare J Taylor Kathryn S Taylor Jan Y Verbakel Clare Bankhead |
author_sort |
Rafael Perera |
title |
Long-term monitoring in primary care for chronic kidney disease and chronic heart failure: a multi-method research programme |
title_short |
Long-term monitoring in primary care for chronic kidney disease and chronic heart failure: a multi-method research programme |
title_full |
Long-term monitoring in primary care for chronic kidney disease and chronic heart failure: a multi-method research programme |
title_fullStr |
Long-term monitoring in primary care for chronic kidney disease and chronic heart failure: a multi-method research programme |
title_full_unstemmed |
Long-term monitoring in primary care for chronic kidney disease and chronic heart failure: a multi-method research programme |
title_sort |
long-term monitoring in primary care for chronic kidney disease and chronic heart failure: a multi-method research programme |
publisher |
NIHR Journals Library |
series |
Programme Grants for Applied Research |
issn |
2050-4322 2050-4330 |
publishDate |
2021-08-01 |
description |
Background: Long-term monitoring is important in chronic condition management. Despite considerable costs of monitoring, there is no or poor evidence on how, what and when to monitor. The aim of this study was to improve understanding, methods, evidence base and practice of clinical monitoring in primary care, focusing on two areas: chronic kidney disease and chronic heart failure. Objectives: The research questions were as follows: does the choice of test affect better care while being affordable to the NHS? Can the number of tests used to manage individuals with early-stage kidney disease, and hence the costs, be reduced? Is it possible to monitor heart failure using a simple blood test? Can this be done using a rapid test in a general practitioner consultation? Would changes in the management of these conditions be acceptable to patients and carers? Design: Various study designs were employed, including cohort, feasibility study, Clinical Practice Research Datalink analysis, seven systematic reviews, two qualitative studies, one cost-effectiveness analysis and one cost recommendation. Setting: This study was set in UK primary care. Data sources: Data were collected from study participants and sourced from UK general practice and hospital electronic health records, and worldwide literature. Participants: The participants were NHS patients (Clinical Practice Research Datalink: 4.5 million patients), chronic kidney disease and chronic heart failure patients managed in primary care (including 750 participants in the cohort study) and primary care health professionals. Interventions: The interventions were monitoring with blood and urine tests (for chronic kidney disease) and monitoring with blood tests and weight measurement (for chronic heart failure). Main outcome measures: The main outcomes were the frequency, accuracy, utility, acceptability, costs and cost-effectiveness of monitoring. Results: Chronic kidney disease: serum creatinine testing has increased steadily since 1997, with most results being normal (83% in 2013). Increases in tests of creatinine and proteinuria correspond to their introduction as indicators in the Quality and Outcomes Framework. The Chronic Kidney Disease Epidemiology Collaboration equation had 2.7% greater accuracy (95% confidence interval 1.6% to 3.8%) than the Modification of Diet in Renal Disease equation for estimating glomerular filtration rate. Estimated annual transition rates to the next chronic kidney disease stage are ≈ 2% for people with normal urine albumin, 3–5% for people with microalbuminuria (3–30 mg/mmol) and 3–12% for people with macroalbuminuria (> 30 mg/mmol). Variability in estimated glomerular filtration rate-creatinine leads to misclassification of chronic kidney disease stage in 12–15% of tests in primary care. Glycaemic-control and lipid-modifying drugs are associated with a 6% (95% confidence interval 2% to 10%) and 4% (95% confidence interval 0% to 8%) improvement in renal function, respectively. Neither estimated glomerular filtration rate-creatinine nor estimated glomerular filtration rate-Cystatin C have utility in predicting rate of kidney function change. Patients viewed phrases such as ‘kidney damage’ or ‘kidney failure’ as frightening, and the term ‘chronic’ was misinterpreted as serious. Diagnosis of asymptomatic conditions (chronic kidney disease) was difficult to understand, and primary care professionals often did not use ‘chronic kidney disease’ when managing patients at early stages. General practitioners relied on Clinical Commissioning Group or Quality and Outcomes Framework alerts rather than National Institute for Health and Care Excellence guidance for information. Cost-effectiveness modelling did not demonstrate a tangible benefit of monitoring kidney function to guide preventative treatments, except for individuals with an estimated glomerular filtration rate of 60–90 ml/minute/1.73 m2, aged < 70 years and without cardiovascular disease, where monitoring every 3–4 years to guide cardiovascular prevention may be cost-effective. Chronic heart failure: natriuretic peptide-guided treatment could reduce all-cause mortality by 13% and heart failure admission by 20%. Implementing natriuretic peptide-guided treatment is likely to require predefined protocols, stringent natriuretic peptide targets, relative targets and being located in a specialist heart failure setting. Remote monitoring can reduce all-cause mortality and heart failure hospitalisation, and could improve quality of life. Diagnostic accuracy of point-of-care N-terminal prohormone of B-type natriuretic peptide (sensitivity, 0.99; specificity, 0.60) was better than point-of-care B-type natriuretic peptide (sensitivity, 0.95; specificity, 0.57). Within-person variation estimates for B-type natriuretic peptide and weight were as follows: coefficient of variation, 46% and coefficient of variation, 1.2%, respectively. Point-of-care N-terminal prohormone of B-type natriuretic peptide within-person variability over 12 months was 881 pg/ml (95% confidence interval 380 to 1382 pg/ml), whereas between-person variability was 1972 pg/ml (95% confidence interval 1525 to 2791 pg/ml). For individuals, monitoring provided reassurance; future changes, such as increased testing, would be acceptable. Point-of-care testing in general practice surgeries was perceived positively, reducing waiting time and anxiety. Community heart failure nurses had greater knowledge of National Institute for Health and Care Excellence guidance than general practitioners and practice nurses. Health-care professionals believed that the cost of natriuretic peptide tests in routine monitoring would outweigh potential benefits. The review of cost-effectiveness studies suggests that natriuretic peptide-guided treatment is cost-effective in specialist settings, but with no evidence for its value in primary care settings. Limitations: No randomised controlled trial evidence was generated. The pathways to the benefit of monitoring chronic kidney disease were unclear. Conclusions: It is difficult to ascribe quantifiable benefits to monitoring chronic kidney disease, because monitoring is unlikely to change treatment, especially in chronic kidney disease stages G3 and G4. New approaches to monitoring chronic heart failure, such as point-of-care natriuretic peptide tests in general practice, show promise if high within-test variability can be overcome. Future work: The following future work is recommended: improve general practitioner–patient communication of early-stage renal function decline, and identify strategies to reduce the variability of natriuretic peptide. Study registration: This study is registered as PROSPERO CRD42015017501, CRD42019134922 and CRD42016046902. Funding: This project was funded by the National Institute for Health Research (NIHR) Programme Grants for Applied Research programme and will be published in full in Programme Grants for Applied Research; Vol. 9, No. 10. See the NIHR Journals Library website for further project information. |
topic |
monitoring chronic kidney disease chronic heart failure primary care all-cause mortality cardiovascular events hospital admission accuracy cost-effectiveness |
url |
https://doi.org/10.3310/pgfar09100 |
work_keys_str_mv |
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doaj-41b3c5a60e2444a791bd8cfe2995ced12021-08-31T12:54:25ZengNIHR Journals LibraryProgramme Grants for Applied Research2050-43222050-43302021-08-0191010.3310/pgfar09100RP-PG-1210-12003Long-term monitoring in primary care for chronic kidney disease and chronic heart failure: a multi-method research programmeRafael Perera0Richard Stevens1Jeffrey K Aronson2Amitava Banerjee3Julie Evans4Benjamin G Feakins5Susannah Fleming6Paul Glasziou7Carl Heneghan8FD Richard Hobbs9Louise Jones10Milena Kurtinecz11Daniel S Lasserson12Louise Locock13Julie McLellan14Borislava Mihaylova15Christopher A O’Callaghan16Jason L Oke17Nicola Pidduck18Annette Plüddemann19Nia Roberts20Iryna Schlackow21Brian Shine22Claire L Simons23Clare J Taylor24Kathryn S Taylor25Jan Y Verbakel26Clare Bankhead27Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UKNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UKNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UKInstitute of Health Informatics, University College London, London, UKNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UKNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UKNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UKInstitute for Evidence-Based Healthcare, Faculty of Health Sciences & Medicine, Bond University, Gold Coast, QLD, AustraliaNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UKNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UKNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UKNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UKInstitute of Applied Health Research, College of Medical and Dental Sciences, University of Birmingham, Birmingham, UKHealth Services Research Unit, University of Aberdeen, Aberdeen, UKNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UKHealth Economics Research Centre, Nuffield Department of Population Health, University of Oxford, Oxford, UKNuffield Department of Medicine, University of Oxford, Oxford, UKNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UKNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UKNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UKBodleian Health Care Libraries, Knowledge Centre, University of Oxford, Oxford, UKHealth Economics Research Centre, Nuffield Department of Population Health, University of Oxford, Oxford, UKDepartment of Clinical Biochemistry, John Radcliffe Hospital, Oxford University Hospitals NHS Foundation Trust, Oxford, UKHealth Economics Research Centre, Nuffield Department of Population Health, University of Oxford, Oxford, UKNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UKNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UKNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UKNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UKBackground: Long-term monitoring is important in chronic condition management. Despite considerable costs of monitoring, there is no or poor evidence on how, what and when to monitor. The aim of this study was to improve understanding, methods, evidence base and practice of clinical monitoring in primary care, focusing on two areas: chronic kidney disease and chronic heart failure. Objectives: The research questions were as follows: does the choice of test affect better care while being affordable to the NHS? Can the number of tests used to manage individuals with early-stage kidney disease, and hence the costs, be reduced? Is it possible to monitor heart failure using a simple blood test? Can this be done using a rapid test in a general practitioner consultation? Would changes in the management of these conditions be acceptable to patients and carers? Design: Various study designs were employed, including cohort, feasibility study, Clinical Practice Research Datalink analysis, seven systematic reviews, two qualitative studies, one cost-effectiveness analysis and one cost recommendation. Setting: This study was set in UK primary care. Data sources: Data were collected from study participants and sourced from UK general practice and hospital electronic health records, and worldwide literature. Participants: The participants were NHS patients (Clinical Practice Research Datalink: 4.5 million patients), chronic kidney disease and chronic heart failure patients managed in primary care (including 750 participants in the cohort study) and primary care health professionals. Interventions: The interventions were monitoring with blood and urine tests (for chronic kidney disease) and monitoring with blood tests and weight measurement (for chronic heart failure). Main outcome measures: The main outcomes were the frequency, accuracy, utility, acceptability, costs and cost-effectiveness of monitoring. Results: Chronic kidney disease: serum creatinine testing has increased steadily since 1997, with most results being normal (83% in 2013). Increases in tests of creatinine and proteinuria correspond to their introduction as indicators in the Quality and Outcomes Framework. The Chronic Kidney Disease Epidemiology Collaboration equation had 2.7% greater accuracy (95% confidence interval 1.6% to 3.8%) than the Modification of Diet in Renal Disease equation for estimating glomerular filtration rate. Estimated annual transition rates to the next chronic kidney disease stage are ≈ 2% for people with normal urine albumin, 3–5% for people with microalbuminuria (3–30 mg/mmol) and 3–12% for people with macroalbuminuria (> 30 mg/mmol). Variability in estimated glomerular filtration rate-creatinine leads to misclassification of chronic kidney disease stage in 12–15% of tests in primary care. Glycaemic-control and lipid-modifying drugs are associated with a 6% (95% confidence interval 2% to 10%) and 4% (95% confidence interval 0% to 8%) improvement in renal function, respectively. Neither estimated glomerular filtration rate-creatinine nor estimated glomerular filtration rate-Cystatin C have utility in predicting rate of kidney function change. Patients viewed phrases such as ‘kidney damage’ or ‘kidney failure’ as frightening, and the term ‘chronic’ was misinterpreted as serious. Diagnosis of asymptomatic conditions (chronic kidney disease) was difficult to understand, and primary care professionals often did not use ‘chronic kidney disease’ when managing patients at early stages. General practitioners relied on Clinical Commissioning Group or Quality and Outcomes Framework alerts rather than National Institute for Health and Care Excellence guidance for information. Cost-effectiveness modelling did not demonstrate a tangible benefit of monitoring kidney function to guide preventative treatments, except for individuals with an estimated glomerular filtration rate of 60–90 ml/minute/1.73 m2, aged < 70 years and without cardiovascular disease, where monitoring every 3–4 years to guide cardiovascular prevention may be cost-effective. Chronic heart failure: natriuretic peptide-guided treatment could reduce all-cause mortality by 13% and heart failure admission by 20%. Implementing natriuretic peptide-guided treatment is likely to require predefined protocols, stringent natriuretic peptide targets, relative targets and being located in a specialist heart failure setting. Remote monitoring can reduce all-cause mortality and heart failure hospitalisation, and could improve quality of life. Diagnostic accuracy of point-of-care N-terminal prohormone of B-type natriuretic peptide (sensitivity, 0.99; specificity, 0.60) was better than point-of-care B-type natriuretic peptide (sensitivity, 0.95; specificity, 0.57). Within-person variation estimates for B-type natriuretic peptide and weight were as follows: coefficient of variation, 46% and coefficient of variation, 1.2%, respectively. Point-of-care N-terminal prohormone of B-type natriuretic peptide within-person variability over 12 months was 881 pg/ml (95% confidence interval 380 to 1382 pg/ml), whereas between-person variability was 1972 pg/ml (95% confidence interval 1525 to 2791 pg/ml). For individuals, monitoring provided reassurance; future changes, such as increased testing, would be acceptable. Point-of-care testing in general practice surgeries was perceived positively, reducing waiting time and anxiety. Community heart failure nurses had greater knowledge of National Institute for Health and Care Excellence guidance than general practitioners and practice nurses. Health-care professionals believed that the cost of natriuretic peptide tests in routine monitoring would outweigh potential benefits. The review of cost-effectiveness studies suggests that natriuretic peptide-guided treatment is cost-effective in specialist settings, but with no evidence for its value in primary care settings. Limitations: No randomised controlled trial evidence was generated. The pathways to the benefit of monitoring chronic kidney disease were unclear. Conclusions: It is difficult to ascribe quantifiable benefits to monitoring chronic kidney disease, because monitoring is unlikely to change treatment, especially in chronic kidney disease stages G3 and G4. New approaches to monitoring chronic heart failure, such as point-of-care natriuretic peptide tests in general practice, show promise if high within-test variability can be overcome. Future work: The following future work is recommended: improve general practitioner–patient communication of early-stage renal function decline, and identify strategies to reduce the variability of natriuretic peptide. Study registration: This study is registered as PROSPERO CRD42015017501, CRD42019134922 and CRD42016046902. Funding: This project was funded by the National Institute for Health Research (NIHR) Programme Grants for Applied Research programme and will be published in full in Programme Grants for Applied Research; Vol. 9, No. 10. See the NIHR Journals Library website for further project information.https://doi.org/10.3310/pgfar09100monitoringchronic kidney diseasechronic heart failureprimary careall-cause mortalitycardiovascular eventshospital admissionaccuracycost-effectiveness |