| Title |
Improving patient engagement in self-measured blood pressure monitoring using a mobile health technology
|
|---|---|
| Published in |
Health Information Science and Systems, October 2017
|
| DOI | 10.1007/s13755-017-0026-9 |
| Pubmed ID | |
| Authors |
Alan L. Kaplan, Erica R. Cohen, Eyal Zimlichman |
| Abstract |
To understand usage patterns and clinical efficacy of Hello Heart, an mHealth technology application designed to facilitate patient engagement in managing hypertension. In this single-arm observational study, all subjects with ≥2 blood pressure (BP) recordings were included. The cohort was divided into subgroups by weeks passed since download that patients were still recording measurements. Changes in BP were compared between subgroups. Of 5115 eligible subjects, 3803 (74%) recorded BP for ≥2 weeks. In the 4-week subgroup, 23% achieved BP reduction of ≥10 mmHg versus 24% in the 22-week subgroup (p < 0.001). Among 783 subjects reporting baseline hypertension 57% of the 4-week and 69% of the 22-week subgroups achieved BP normalization (all p < 0.001). We show significant decrease in BP with improved metrics over time. Higher engagement was associated with greater BP reduction and engagement was higher among those with greater clinical need of BP control. Hello Heart represents an operational mHealth technology to improve patient engagement and clinical outcomes. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 100 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 100 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 14 | 14% |
| Researcher | 13 | 13% |
| Student > Ph. D. Student | 11 | 11% |
| Student > Bachelor | 9 | 9% |
| Other | 5 | 5% |
| Other | 10 | 10% |
| Unknown | 38 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 14 | 14% |
| Nursing and Health Professions | 12 | 12% |
| Computer Science | 6 | 6% |
| Social Sciences | 4 | 4% |
| Biochemistry, Genetics and Molecular Biology | 3 | 3% |
| Other | 20 | 20% |
| Unknown | 41 | 41% |
Attention Score in Context
This research output has an Altmetric Attention Score of 39. 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 02 September 2022.
All research outputs
#935,402
of 23,577,654 outputs
Outputs from Health Information Science and Systems
#5
of 97 outputs
Outputs of similar age
#20,858
of 325,232 outputs
Outputs of similar age from Health Information Science and Systems
#1
of 5 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 97 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one has done particularly well, scoring higher than 94% of its peers.
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We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them