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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Improving Pelvic Floor Muscle Training Adherence Among Pregnant Women: Validation Study
|
|---|---|
| Published in |
JMIR Human Factors, February 2022
|
| DOI | 10.2196/30989 |
| Pubmed ID | |
| Authors |
Aida Jaffar, Sherina Mohd-Sidik, Chai Nien Foo, Novia Admodisastro, Sobihatun Nur Abdul Salam, Noor Diana Ismail |
| Abstract |
Mobile health apps, for example, the Tät, have been shown to be potentially effective in improving pelvic floor muscle training (PFMT) among women, but their effectiveness in pregnant women was limited. Adherence to daily PFMT will improve pelvic floor muscle strength leading to urinary incontinence (UI) improvement during the pregnancy. This study aims to document the validation process in developing the Kegel Exercise Pregnancy Training app, which was designed to improve the PFMT adherence among pregnant women. We utilized an intervention mapping approach incorporated within the mobile health development and evaluation framework. The framework involved the following steps: (1) conceptualization, (2) formative research, (3) pretesting, (4) pilot testing, (5) randomized controlled trial, and (6) qualitative research. The user-centered design-11 checklist was used to evaluate the user-centeredness properties of the app. A cross-sectional study was conducted to better understand PFMT and UI among 440 pregnant women. The study reported a UI prevalence of 40.9% (180/440), with less than half having good PFMT practice despite their good knowledge. Five focus group discussions were conducted to understand the app design preferred by pregnant women. They agreed a more straightforward design should be used for better app usability. From these findings, a prototype was designed and developed accordingly, and the process conformed to the user-centered design-11 (UCD-11) checklist. A PFMT app was developed based on the mHealth development and evaluation framework model, emphasizing higher user involvement in the application design and development. The application was expected to improve its usability, acceptability, and ease of use. The Kegel Exercise Pregnancy Training app was validated using a thorough design and development process to ensure its effectiveness in evaluating the usability of the final prototype in our future randomized control trial study. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 3 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 59 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 5 | 8% |
| Student > Bachelor | 5 | 8% |
| Student > Ph. D. Student | 3 | 5% |
| Student > Doctoral Student | 2 | 3% |
| Lecturer | 2 | 3% |
| Other | 7 | 12% |
| Unknown | 35 | 59% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 8 | 14% |
| Medicine and Dentistry | 4 | 7% |
| Business, Management and Accounting | 2 | 3% |
| Agricultural and Biological Sciences | 2 | 3% |
| Psychology | 2 | 3% |
| Other | 5 | 8% |
| Unknown | 36 | 61% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 04 February 2022.
All research outputs
#14,857,948
of 23,053,169 outputs
Outputs from JMIR Human Factors
#324
of 465 outputs
Outputs of similar age
#258,099
of 504,748 outputs
Outputs of similar age from JMIR Human Factors
#33
of 55 outputs
Altmetric has tracked 23,053,169 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 465 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 24th percentile – i.e., 24% of its peers scored the same or lower than it.
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 504,748 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 55 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.