Reducing Medical Admissions into Hospital through Optimising Medicines (REMAIN HOME) Study: protocol for a stepped-wedge, cluster-randomised trial

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Foot, Holly
Freeman, Christopher
Hemming, Karla
Scott, Ian
Coombes, Ian D
Williams, Ian D
Connelly, Luke
Whitty, Jennifer A
Sturman, Nancy
Kirsa, Sue
Nicholson, Caroline
Russell, Grant
Kirkpatrick, Carl
Cottrell, Neil
Griffith University Author(s)
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2017
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Abstract

Introduction A model of general practitioner (GP) and pharmacist collaboration in primary care may be an effective strategy to reduce medication-related problems and provide better support to patients after discharge. The aim of this study is to investigate whether a model of structured pharmacist and GP care reduces hospital readmissions in high-risk patients. Methods and analysis This protocol details a stepped-wedge, cluster-randomised trial that will recruit participants over 9 months with a 12-month follow-up. There will be 14 clusters each representing a different general practice medical centre. A total of 2240 participants will be recruited from hospital who attend an enrolled medical centre, take five or more long-term medicines or whose reason for admission was related to heart failure or chronic obstructive pulmonary disease. The intervention is a multifaceted service, involving a pharmacist integrated into a medical centre to assist patients after hospitalisation. Participants will meet with the practice pharmacist and their GP after discharge to review and reconcile their medicines and discuss changes made in hospital. The pharmacist will follow-up with the participant and liaise with other health professionals involved in the participant’s care. The control will be usual care, which usually involves a patient self-organising a visit to their GP after hospital discharge. The primary outcome is the rate of unplanned, all-cause hospital readmissions over 12 months, which will be analysed using a mixed effects Poisson regression model with a random effect for cluster and a fixed effect to account for any temporal trend. A cost analysis will be undertaken to compare the healthcare costs associated with the intervention to those of usual care. Ethics and dissemination The study has received ethical approval (HREC/16/QRBW/410). The study findings will be disseminated through peer-reviewed publications, conferences and reports to key stakeholders. Trial registration number ACTRN12616001627448

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BMJ Open

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7

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4

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© The Author(s) 2017. This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/

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Clinical sciences

Health services and systems

Public health

Other health sciences

Science & Technology

Life Sciences & Biomedicine

Medicine, General & Internal

General & Internal Medicine

PRACTICE PHARMACIST

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Foot, H; Freeman, C; Hemming, K; Scott, I; Coombes, ID; Williams, ID; Connelly, L; Whitty, JA; Sturman, N; Kirsa, S; Nicholson, C; Russell, G; Kirkpatrick, C; Cottrell, N, Reducing Medical Admissions into Hospital through Optimising Medicines (REMAIN HOME) Study: protocol for a stepped-wedge, cluster-randomised trial, BMJ Open, 2017, 7 (4), pp. e015301

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