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Intervention planning for a digital intervention for self-management of hypertension: a theory-, evidence- and person-based approach

Becky Band Orcid Logo, Katherine Bradbury, Katherine Morton, Carl May, Susan Michie, Frances S. Mair, Elizabeth Murray, Richard J. McManus, Paul Little, Lucy Yardley

Implementation Science, Volume: 12, Issue: 1

Swansea University Author: Becky Band Orcid Logo

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DOI (Published version): 10.1186/s13012-017-0553-4

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BackgroundThis paper describes the intervention planning process for the Home and Online Management and Evaluation of Blood Pressure (HOME BP), a digital intervention to promote hypertension self-management. It illustrates how a Person-Based Approach can be integrated with theory- and evidence-based...

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Published in: Implementation Science
ISSN: 1748-5908
Published: Springer Science and Business Media LLC 2017
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URI: https://cronfa.swan.ac.uk/Record/cronfa67039
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It illustrates how a Person-Based Approach can be integrated with theory- and evidence-based approaches. The Person-Based Approach to intervention development emphasises the use of qualitative research to ensure that the intervention is acceptable, persuasive, engaging and easy to implement.MethodsOur intervention planning process comprised two parallel, integrated work streams, which combined theory-, evidence- and person-based elements. The first work stream involved collating evidence from a mixed methods feasibility study, a systematic review and a synthesis of qualitative research. This evidence was analysed to identify likely barriers and facilitators to uptake and implementation as well as design features that should be incorporated in the HOME BP intervention. The second work stream used three complementary approaches to theoretical modelling: developing brief guiding principles for intervention design, causal modelling to map behaviour change techniques in the intervention onto the Behaviour Change Wheel and Normalisation Process Theory frameworks, and developing a logic model.ResultsThe different elements of our integrated approach to intervention planning yielded important, complementary insights into how to design the intervention to maximise acceptability and ease of implementation by both patients and health professionals. From the primary and secondary evidence, we identified key barriers to overcome (such as patient and health professional concerns about side effects of escalating medication) and effective intervention ingredients (such as providing in-person support for making healthy behaviour changes). Our guiding principles highlighted unique design features that could address these issues (such as online reassurance and procedures for managing concerns). Causal modelling ensured that all relevant behavioural determinants had been addressed, and provided a complete description of the intervention. Our logic model linked the hypothesised mechanisms of action of our intervention to existing psychological theory.ConclusionOur integrated approach to intervention development, combining theory-, evidence- and person-based approaches, increased the clarity, comprehensiveness and confidence of our theoretical modelling and enabled us to ground our intervention in an in-depth understanding of the barriers and facilitators most relevant to this specific intervention and user population.</abstract><type>Journal Article</type><journal>Implementation Science</journal><volume>12</volume><journalNumber>1</journalNumber><paginationStart/><paginationEnd/><publisher>Springer Science and Business Media LLC</publisher><placeOfPublication/><isbnPrint/><isbnElectronic/><issnPrint/><issnElectronic>1748-5908</issnElectronic><keywords>Intervention planning, Theoretical modelling, Methodological study, Hypertension, Blood pressure, Self-monitoring, Self-management</keywords><publishedDay>23</publishedDay><publishedMonth>2</publishedMonth><publishedYear>2017</publishedYear><publishedDate>2017-02-23</publishedDate><doi>10.1186/s13012-017-0553-4</doi><url/><notes/><college>COLLEGE NANME</college><department>Health and Social Care School</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>HSOC</DepartmentCode><institution>Swansea University</institution><apcterm/><funders>This paper reports independent research funded by the National Institute for Health Research (NIHR) Programme Grants for Applied Research (Grant Reference Number RP-PG-1211-20001). The views expressed are those of the author(s) and not necessarily those of the NHS, the NIHR or the Department of Health. 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spelling v2 67039 2024-07-09 Intervention planning for a digital intervention for self-management of hypertension: a theory-, evidence- and person-based approach 06b53a31f254b004de8649a376ce2fbd 0000-0001-5403-1708 Becky Band Becky Band true false 2024-07-09 HSOC BackgroundThis paper describes the intervention planning process for the Home and Online Management and Evaluation of Blood Pressure (HOME BP), a digital intervention to promote hypertension self-management. It illustrates how a Person-Based Approach can be integrated with theory- and evidence-based approaches. The Person-Based Approach to intervention development emphasises the use of qualitative research to ensure that the intervention is acceptable, persuasive, engaging and easy to implement.MethodsOur intervention planning process comprised two parallel, integrated work streams, which combined theory-, evidence- and person-based elements. The first work stream involved collating evidence from a mixed methods feasibility study, a systematic review and a synthesis of qualitative research. This evidence was analysed to identify likely barriers and facilitators to uptake and implementation as well as design features that should be incorporated in the HOME BP intervention. The second work stream used three complementary approaches to theoretical modelling: developing brief guiding principles for intervention design, causal modelling to map behaviour change techniques in the intervention onto the Behaviour Change Wheel and Normalisation Process Theory frameworks, and developing a logic model.ResultsThe different elements of our integrated approach to intervention planning yielded important, complementary insights into how to design the intervention to maximise acceptability and ease of implementation by both patients and health professionals. From the primary and secondary evidence, we identified key barriers to overcome (such as patient and health professional concerns about side effects of escalating medication) and effective intervention ingredients (such as providing in-person support for making healthy behaviour changes). Our guiding principles highlighted unique design features that could address these issues (such as online reassurance and procedures for managing concerns). Causal modelling ensured that all relevant behavioural determinants had been addressed, and provided a complete description of the intervention. Our logic model linked the hypothesised mechanisms of action of our intervention to existing psychological theory.ConclusionOur integrated approach to intervention development, combining theory-, evidence- and person-based approaches, increased the clarity, comprehensiveness and confidence of our theoretical modelling and enabled us to ground our intervention in an in-depth understanding of the barriers and facilitators most relevant to this specific intervention and user population. Journal Article Implementation Science 12 1 Springer Science and Business Media LLC 1748-5908 Intervention planning, Theoretical modelling, Methodological study, Hypertension, Blood pressure, Self-monitoring, Self-management 23 2 2017 2017-02-23 10.1186/s13012-017-0553-4 COLLEGE NANME Health and Social Care School COLLEGE CODE HSOC Swansea University This paper reports independent research funded by the National Institute for Health Research (NIHR) Programme Grants for Applied Research (Grant Reference Number RP-PG-1211-20001). The views expressed are those of the author(s) and not necessarily those of the NHS, the NIHR or the Department of Health. The feasibility study reported in this manuscript was made possible by a pump priming grant from the NIHR School for Primary Care Research (PI PL, co-applicants RMcM, LY). 2024-09-02T13:04:30.7181795 2024-07-09T15:26:06.2566291 Faculty of Medicine, Health and Life Sciences School of Psychology Becky Band 0000-0001-5403-1708 1 Katherine Bradbury 2 Katherine Morton 3 Carl May 4 Susan Michie 5 Frances S. Mair 6 Elizabeth Murray 7 Richard J. McManus 8 Paul Little 9 Lucy Yardley 10 67039__31215__01734d7f7520422fb47f25d401bf53f1.pdf 67039.VoR.pdf 2024-09-02T13:02:55.0919939 Output 3451640 application/pdf Version of Record true © The Author(s) 2017. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License. true eng http://creativecommons.org/licenses/by/4.0/
title Intervention planning for a digital intervention for self-management of hypertension: a theory-, evidence- and person-based approach
spellingShingle Intervention planning for a digital intervention for self-management of hypertension: a theory-, evidence- and person-based approach
Becky Band
title_short Intervention planning for a digital intervention for self-management of hypertension: a theory-, evidence- and person-based approach
title_full Intervention planning for a digital intervention for self-management of hypertension: a theory-, evidence- and person-based approach
title_fullStr Intervention planning for a digital intervention for self-management of hypertension: a theory-, evidence- and person-based approach
title_full_unstemmed Intervention planning for a digital intervention for self-management of hypertension: a theory-, evidence- and person-based approach
title_sort Intervention planning for a digital intervention for self-management of hypertension: a theory-, evidence- and person-based approach
author_id_str_mv 06b53a31f254b004de8649a376ce2fbd
author_id_fullname_str_mv 06b53a31f254b004de8649a376ce2fbd_***_Becky Band
author Becky Band
author2 Becky Band
Katherine Bradbury
Katherine Morton
Carl May
Susan Michie
Frances S. Mair
Elizabeth Murray
Richard J. McManus
Paul Little
Lucy Yardley
format Journal article
container_title Implementation Science
container_volume 12
container_issue 1
publishDate 2017
institution Swansea University
issn 1748-5908
doi_str_mv 10.1186/s13012-017-0553-4
publisher Springer Science and Business Media LLC
college_str Faculty of Medicine, Health and Life Sciences
hierarchytype
hierarchy_top_id facultyofmedicinehealthandlifesciences
hierarchy_top_title Faculty of Medicine, Health and Life Sciences
hierarchy_parent_id facultyofmedicinehealthandlifesciences
hierarchy_parent_title Faculty of Medicine, Health and Life Sciences
department_str School of Psychology{{{_:::_}}}Faculty of Medicine, Health and Life Sciences{{{_:::_}}}School of Psychology
document_store_str 1
active_str 0
description BackgroundThis paper describes the intervention planning process for the Home and Online Management and Evaluation of Blood Pressure (HOME BP), a digital intervention to promote hypertension self-management. It illustrates how a Person-Based Approach can be integrated with theory- and evidence-based approaches. The Person-Based Approach to intervention development emphasises the use of qualitative research to ensure that the intervention is acceptable, persuasive, engaging and easy to implement.MethodsOur intervention planning process comprised two parallel, integrated work streams, which combined theory-, evidence- and person-based elements. The first work stream involved collating evidence from a mixed methods feasibility study, a systematic review and a synthesis of qualitative research. This evidence was analysed to identify likely barriers and facilitators to uptake and implementation as well as design features that should be incorporated in the HOME BP intervention. The second work stream used three complementary approaches to theoretical modelling: developing brief guiding principles for intervention design, causal modelling to map behaviour change techniques in the intervention onto the Behaviour Change Wheel and Normalisation Process Theory frameworks, and developing a logic model.ResultsThe different elements of our integrated approach to intervention planning yielded important, complementary insights into how to design the intervention to maximise acceptability and ease of implementation by both patients and health professionals. From the primary and secondary evidence, we identified key barriers to overcome (such as patient and health professional concerns about side effects of escalating medication) and effective intervention ingredients (such as providing in-person support for making healthy behaviour changes). Our guiding principles highlighted unique design features that could address these issues (such as online reassurance and procedures for managing concerns). Causal modelling ensured that all relevant behavioural determinants had been addressed, and provided a complete description of the intervention. Our logic model linked the hypothesised mechanisms of action of our intervention to existing psychological theory.ConclusionOur integrated approach to intervention development, combining theory-, evidence- and person-based approaches, increased the clarity, comprehensiveness and confidence of our theoretical modelling and enabled us to ground our intervention in an in-depth understanding of the barriers and facilitators most relevant to this specific intervention and user population.
published_date 2017-02-23T13:04:29Z
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score 11.036706

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