↓ Skip to main content

Understanding how primary care practitioners perceive an online intervention for the management of hypertension

Overview of attention for article published in BMC Medical Informatics and Decision Making, January 2017
Altmetric Badge

About this Attention Score

  • Good Attention Score compared to outputs of the same age (71st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (59th percentile)

Mentioned by

policy
1 policy source
twitter
2 X users

Citations

dimensions_citation
26 Dimensions

Readers on

mendeley
141 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
Understanding how primary care practitioners perceive an online intervention for the management of hypertension
Published in
BMC Medical Informatics and Decision Making, January 2017
DOI 10.1186/s12911-016-0397-x
Pubmed ID
Authors

Katherine Bradbury, Katherine Morton, Rebecca Band, Carl May, Richard McManus, Paul Little, Lucy Yardley

Abstract

In order to achieve successful implementation an intervention needs to be acceptable and feasible to its users and must overcome barriers to behaviour change. The Person-Based Approach can help intervention developers to improve their interventions to ensure more successful implementation. This study provides an example of using the Person-Based Approach to refine a digital intervention for hypertension (HOME BP). Our Person-Based Approach involved conducting qualitative focus groups with practice staff to explore their perceptions of HOME BP and to identify any potential barriers to implementation of the HOME BP procedures. We took an iterative approach moving between data collection, analysis and modifications to the HOME BP intervention, followed by further data collection. The data was analysed using thematic analysis. Many aspects of HOME BP appeared to be acceptable, persuasive and feasible to implement. Practitioners perceived benefits in using HOME BP, including that it could empower patients to self-manage their health, potentially overcome clinical inertia around prescribing medication and save both the patient and practitioner time. However, practitioners also had some concerns. Some practitioners were concerned about the accuracy of patients' home blood pressure readings, or the potential for home monitoring to cause patients anxiety and therefore increase consultations. Some GPs lacked confidence in choosing multiple medication changes, or had concerns about unanticipated drug interactions. A few nurses were concerned that the model of patient support they were asked to provide was not consistent with their perceived role. Modifications were made to the intervention based on this feedback, which appeared to help overcome practitioners' concerns and improve the acceptability and feasibility of the intervention. This paper provides a detailed example of using the Person-Based Approach to refine HOME BP, demonstrating how we improved the acceptability and feasibility of HOME BP based on feedback from practice staff. This demonstration may be useful to others developing digital interventions.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 141 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 141 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 19 13%
Student > Master 18 13%
Student > Bachelor 15 11%
Other 10 7%
Student > Ph. D. Student 10 7%
Other 23 16%
Unknown 46 33%
Readers by discipline Count As %
Medicine and Dentistry 28 20%
Psychology 19 13%
Nursing and Health Professions 17 12%
Social Sciences 10 7%
Engineering 2 1%
Other 12 9%
Unknown 53 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 December 2021.
All research outputs
#7,044,752
of 25,362,278 outputs
Outputs from BMC Medical Informatics and Decision Making
#619
of 2,139 outputs
Outputs of similar age
#120,760
of 422,780 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#10
of 22 outputs
Altmetric has tracked 25,362,278 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 2,139 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has gotten more attention than average, scoring higher than 70% 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 422,780 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 59% of its contemporaries.