Dashboards to reduce inappropriate prescribing of metformin and aspirin: a quality assurance programme in a primary care sentinel network

<p><strong>Aims</strong></p> To pilot two dashboards to monitor prescribing of metformin and aspirin according to the National Institute for Health and Care Excellence (NICE) ‘Do-Not-Do’ recommendations. <p><strong>Methods</strong></p> This quality as...

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Main Authors: de Lusignan, S, Hinton, W, Seidu, S, Mathew, M, Feher, MD, Munro, N, Joy, M, Carinci, F, Hobbs, FDR, Khunti, K
Format: Journal article
Language:English
Published: Elsevier 2021
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author de Lusignan, S
Hinton, W
Seidu, S
Mathew, M
Feher, MD
Munro, N
Joy, M
Carinci, F
Hobbs, FDR
Khunti, K
author_facet de Lusignan, S
Hinton, W
Seidu, S
Mathew, M
Feher, MD
Munro, N
Joy, M
Carinci, F
Hobbs, FDR
Khunti, K
author_sort de Lusignan, S
collection OXFORD
description <p><strong>Aims</strong></p> To pilot two dashboards to monitor prescribing of metformin and aspirin according to the National Institute for Health and Care Excellence (NICE) ‘Do-Not-Do’ recommendations. <p><strong>Methods</strong></p> This quality assurance programme was conducted in twelve general practices of the Oxford-Royal College of General Practitioners (RCGP) Research and Surveillance Centre (RSC) network. We developed dashboards to flag inappropriate prescribing of metformin and aspirin to people with type 2 diabetes mellitus (T2DM). In Phase 1, six practices (Group A) received a dashboard flagging suboptimal metformin prescriptions in people with reduced renal function. The other six practices (Group B) were controls. In Phase 2, Group B were provided a dashboard to flag inappropriate aspirin prescribing and Group A were controls. We used logistic regression to explore associations between dashboard exposure and inappropriate prescribing. <p><strong>Results</strong></p> The cohort comprised 5644 individuals (Group A, n = 2656; Group B, n = 2988). Half (51.6%, n = 2991) were prescribed metformin of which 15 (0.5%) were inappropriate (Group A, n = 10; Group B, n = 5). A fifth (17.6%, n = 986) were prescribed aspirin of which 828 (84.0%) were inappropriate. During Phase 1, metformin was stopped in 50% (n = 5) of people in Group A, compared with 20% (n = 1) in the control group (Group B); in Phase 2, the odds ratio of inappropriate aspirin prescribing was significantly lower in practices that received the dashboard versus control (0.44, 95%CI 0.27−0.72). <p><strong>Conclusions</strong></p> It was feasible to use a dashboard to flag inappropriate prescribing. Whilst underpowered to report a change in metformin, we demonstrated a reduction in inappropriate aspirin prescribing.
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spelling oxford-uuid:6dd0f8a3-3a9a-40e6-b96d-f5bf64e0e6ef2022-06-17T09:40:26ZDashboards to reduce inappropriate prescribing of metformin and aspirin: a quality assurance programme in a primary care sentinel networkJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:6dd0f8a3-3a9a-40e6-b96d-f5bf64e0e6efEnglishSymplectic ElementsElsevier2021de Lusignan, SHinton, WSeidu, SMathew, MFeher, MDMunro, NJoy, MCarinci, FHobbs, FDRKhunti, K<p><strong>Aims</strong></p> To pilot two dashboards to monitor prescribing of metformin and aspirin according to the National Institute for Health and Care Excellence (NICE) ‘Do-Not-Do’ recommendations. <p><strong>Methods</strong></p> This quality assurance programme was conducted in twelve general practices of the Oxford-Royal College of General Practitioners (RCGP) Research and Surveillance Centre (RSC) network. We developed dashboards to flag inappropriate prescribing of metformin and aspirin to people with type 2 diabetes mellitus (T2DM). In Phase 1, six practices (Group A) received a dashboard flagging suboptimal metformin prescriptions in people with reduced renal function. The other six practices (Group B) were controls. In Phase 2, Group B were provided a dashboard to flag inappropriate aspirin prescribing and Group A were controls. We used logistic regression to explore associations between dashboard exposure and inappropriate prescribing. <p><strong>Results</strong></p> The cohort comprised 5644 individuals (Group A, n = 2656; Group B, n = 2988). Half (51.6%, n = 2991) were prescribed metformin of which 15 (0.5%) were inappropriate (Group A, n = 10; Group B, n = 5). A fifth (17.6%, n = 986) were prescribed aspirin of which 828 (84.0%) were inappropriate. During Phase 1, metformin was stopped in 50% (n = 5) of people in Group A, compared with 20% (n = 1) in the control group (Group B); in Phase 2, the odds ratio of inappropriate aspirin prescribing was significantly lower in practices that received the dashboard versus control (0.44, 95%CI 0.27−0.72). <p><strong>Conclusions</strong></p> It was feasible to use a dashboard to flag inappropriate prescribing. Whilst underpowered to report a change in metformin, we demonstrated a reduction in inappropriate aspirin prescribing.
spellingShingle de Lusignan, S
Hinton, W
Seidu, S
Mathew, M
Feher, MD
Munro, N
Joy, M
Carinci, F
Hobbs, FDR
Khunti, K
Dashboards to reduce inappropriate prescribing of metformin and aspirin: a quality assurance programme in a primary care sentinel network
title Dashboards to reduce inappropriate prescribing of metformin and aspirin: a quality assurance programme in a primary care sentinel network
title_full Dashboards to reduce inappropriate prescribing of metformin and aspirin: a quality assurance programme in a primary care sentinel network
title_fullStr Dashboards to reduce inappropriate prescribing of metformin and aspirin: a quality assurance programme in a primary care sentinel network
title_full_unstemmed Dashboards to reduce inappropriate prescribing of metformin and aspirin: a quality assurance programme in a primary care sentinel network
title_short Dashboards to reduce inappropriate prescribing of metformin and aspirin: a quality assurance programme in a primary care sentinel network
title_sort dashboards to reduce inappropriate prescribing of metformin and aspirin a quality assurance programme in a primary care sentinel network
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