Literature DB >> 34668634

Participatory codesign of patient involvement in a Learning Health System: How can data-driven care be patient-driven care?

Sarah E Knowles1, Dawn Allen2, Ailsa Donnelly2, Jackie Flynn2, Kay Gallacher2, Annmarie Lewis2, Grace McCorkle2, Manoj Mistry2, Pat Walkington2, Lisa Brunton3.   

Abstract

BACKGROUND: A Learning Health System (LHS) is a model of how routinely collected health data can be used to improve care, creating 'virtuous cycles' between data and improvement. This requires the active involvement of health service stakeholders, including patients themselves. However, to date, research has explored the acceptability of being 'data donors' rather than considering patients as active contributors. The study aimed to understand how patients should be actively involved in an LHS.
DESIGN: Ten participatory codesign workshops were conducted with eight experienced public contributors using visual, collective and iterative methods. This led contributors to challenge and revise not only the idea of an LHS but also revise the study aims and outputs.
RESULTS: The contributors proposed three exemplar roles for patients in patient-driven LHS, which aligned with the idea of three forms of transparency: informational, participatory and accountability. 'Epistemic injustice' was considered a useful concept to express the risks of an LHS that did not provide active roles to patients (testimonial injustice) and that neglected their experience through collecting data that did not reflect the complexity of their lives (hermeneutic injustice). DISCUSSION: Patient involvement in an LHS should be 'with and by' patients, not 'about or for'. This requires systems to actively work with and respond to patient feedback, as demonstrated within the study itself by the adaptive approach to responding to contributor questions, to work in partnership with patients to create a 'virtuous alliance' to achieve change. PATIENT OR PUBLIC CONTRIBUTION: Public contributors were active partners throughout, and co-authored the paper.
© 2021 The Authors. Health Expectations published by John Wiley & Sons Ltd.

Entities:  

Keywords:  codesign; coproduction; health data; patient involvement

Mesh:

Year:  2021        PMID: 34668634      PMCID: PMC8849220          DOI: 10.1111/hex.13345

Source DB:  PubMed          Journal:  Health Expect        ISSN: 1369-6513            Impact factor:   3.377


  37 in total

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Review 4.  Moving From Discovery to System-Wide Change: The Role of Research in a Learning Health Care System: Experience from Three Decades of Health Systems Research in the Veterans Health Administration.

Authors:  David Atkins; Amy M Kilbourne; David Shulkin
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Journal:  PLoS Biol       Date:  2017-05-03       Impact factor: 8.029

7.  Moving from trust to trustworthiness: Experiences of public engagement in the Scottish Health Informatics Programme.

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Journal:  Sci Public Policy       Date:  2016-05-11

8.  Building a learning health community: By the people, for the people.

Authors:  Sally Okun; Kim Goodwin
Journal:  Learn Health Syst       Date:  2017-06-06

9.  Evaluation protocol of the implementation of a learning healthcare system in clinical practice: the Connected Health Cities programme in the north of England.

Authors:  Stephanie Steels; Tjeerd van Staa
Journal:  BMJ Open       Date:  2019-06-04       Impact factor: 2.692

10.  Changing health care with, for, or against the public: an empirical investigation into the place of the public in health service reconfiguration.

Authors:  Scott L Greer; Ellen Stewart; Angelo Ercia; Peter Donnelly
Journal:  J Health Serv Res Policy       Date:  2020-07-19
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  2 in total

1.  Participatory codesign of patient involvement in a Learning Health System: How can data-driven care be patient-driven care?

Authors:  Sarah E Knowles; Dawn Allen; Ailsa Donnelly; Jackie Flynn; Kay Gallacher; Annmarie Lewis; Grace McCorkle; Manoj Mistry; Pat Walkington; Lisa Brunton
Journal:  Health Expect       Date:  2021-10-20       Impact factor: 3.377

2.  Epistemic justice in public involvement and engagement: Creating conditions for impact.

Authors:  Kristin Liabo; Emma J Cockcroft; Kate Boddy; Leon Farmer; Silvia Bortoli; Nicky Britten
Journal:  Health Expect       Date:  2022-06-30       Impact factor: 3.318

  2 in total

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