↓ Skip to main content

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

Overview of attention for article published in Implementation Science, February 2017
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (90th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

twitter
42 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
86 Dimensions

Readers on

mendeley
312 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Intervention planning for a digital intervention for self-management of hypertension: a theory-, evidence- and person-based approach
Published in
Implementation Science, February 2017
DOI 10.1186/s13012-017-0553-4
Pubmed ID
Authors

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

Abstract

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. 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. 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. 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.

Twitter Demographics

The data shown below were collected from the profiles of 42 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 312 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 312 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 51 16%
Student > Master 50 16%
Student > Ph. D. Student 48 15%
Student > Bachelor 23 7%
Student > Doctoral Student 18 6%
Other 59 19%
Unknown 63 20%
Readers by discipline Count As %
Medicine and Dentistry 70 22%
Psychology 51 16%
Nursing and Health Professions 45 14%
Social Sciences 17 5%
Computer Science 11 4%
Other 37 12%
Unknown 81 26%

Attention Score in Context

This research output has an Altmetric Attention Score of 24. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 07 March 2021.
All research outputs
#1,172,518
of 20,430,303 outputs
Outputs from Implementation Science
#266
of 1,666 outputs
Outputs of similar age
#26,257
of 275,481 outputs
Outputs of similar age from Implementation Science
#2
of 7 outputs
Altmetric has tracked 20,430,303 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,666 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.6. This one has done well, scoring higher than 84% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 275,481 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.