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Intervention planning for a digital intervention for self-management of hypertension: a theory-, evidence- and person-based approach
Implementation Science, Volume: 12, Issue: 1
Swansea University Author: Becky Band
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DOI (Published version): 10.1186/s13012-017-0553-4
Abstract
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...
Published in: | Implementation Science |
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ISSN: | 1748-5908 |
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Springer Science and Business Media LLC
2017
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<?xml version="1.0" encoding="utf-8"?><rfc1807 xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:xsd="http://www.w3.org/2001/XMLSchema"><bib-version>v2</bib-version><id>67039</id><entry>2024-07-09</entry><title>Intervention planning for a digital intervention for self-management of hypertension: a theory-, evidence- and person-based approach</title><swanseaauthors><author><sid>06b53a31f254b004de8649a376ce2fbd</sid><ORCID>0000-0001-5403-1708</ORCID><firstname>Becky</firstname><surname>Band</surname><name>Becky Band</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2024-07-09</date><deptcode>HSOC</deptcode><abstract>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.</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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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 |
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06b53a31f254b004de8649a376ce2fbd |
author_id_fullname_str_mv |
06b53a31f254b004de8649a376ce2fbd_***_Becky Band |
author |
Becky Band |
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Becky Band Katherine Bradbury Katherine Morton Carl May Susan Michie Frances S. Mair Elizabeth Murray Richard J. McManus Paul Little Lucy Yardley |
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Implementation Science |
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12 |
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Swansea University |
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1748-5908 |
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Springer Science and Business Media LLC |
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Faculty of Medicine, Health and Life Sciences |
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School of Psychology{{{_:::_}}}Faculty of Medicine, Health and Life Sciences{{{_:::_}}}School of Psychology |
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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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11.029921 |