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

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

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Background: This 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. Methods: Our 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. Results: The 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. Conclusion: Our 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.

Original languageEnglish
Article number25
Number of pages13
JournalImplementation science
Volume12
Issue number1
DOIs
Publication statusPublished - 23 Feb 2017

Bibliographical note

Funding Information:
We would like to thank Gary McLean for leading the quantitative systematic reviewing, Laura Dennison for leading the initial qualitative synthesis, Shelley Mason and Keith Manship for contributing the patient perspective and Tammy Thomas for managing the feasibility trial. Funding 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).

Funding Information:
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).

Publisher Copyright:
© 2017 The Author(s).

Keywords

  • Blood pressure
  • Hypertension
  • Intervention planning
  • Methodological study
  • Self-management
  • Self-monitoring
  • Theoretical modelling

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