| Title |
mHealth Technology as a Persuasive Tool for Treatment, Care and Management of Persons Living with HIV
|
|---|---|
| Published in |
AIDS and Behavior, January 2015
|
| DOI | 10.1007/s10461-014-0984-8 |
| Pubmed ID | |
| Authors |
Rebecca Schnall, Suzanne Bakken, Marlene Rojas, Jasmine Travers, Alex Carballo-Dieguez |
| Abstract |
Mobile health (mHealth) technology can be a valuable tool in the management of chronic illnesses, including HIV. Qualitative research methods were used to identify the desired content and features of a mobile app for meeting and improving the healthcare needs of persons living with HIV (PLWH). We conducted six focus group sessions with 50 English-or Spanish-speaking PLWH in New York City. To inform data analysis and to illustrate how mHealth technology can be used as a persuasive strategy for improving the health of PLWH, we integrated Fogg's functional role triad for computing technology model with the self-determination theory to illustrate how mHealth technology can be used as a persuasive strategy for improving the health of PLWH. Participants suggested several tools for meeting their healthcare needs, including: reminders/alerts, lab results tracking, and notes on health status. mHealth technology can function as a social actor by providing chat boxes/forums, testimonials of lived experiences, and personal outreach. Examples of media that can be used as a persuasive technology include games/virtual rewards, coding of health tasks, and simulations on how to connect with PLWH. Findings from these focus groups can be used to design a mobile app for PLWH that is targeted to meet their healthcare needs. |
X Demographics
The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 45% |
| India | 1 | 9% |
| Bosnia and Herzegovina | 1 | 9% |
| France | 1 | 9% |
| Australia | 1 | 9% |
| Unknown | 2 | 18% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 91% |
| Scientists | 1 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 271 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | <1% |
| Sweden | 1 | <1% |
| India | 1 | <1% |
| United Kingdom | 1 | <1% |
| Spain | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 265 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 50 | 18% |
| Student > Ph. D. Student | 45 | 17% |
| Researcher | 23 | 8% |
| Student > Doctoral Student | 21 | 8% |
| Student > Bachelor | 19 | 7% |
| Other | 51 | 19% |
| Unknown | 62 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 53 | 20% |
| Social Sciences | 29 | 11% |
| Medicine and Dentistry | 28 | 10% |
| Computer Science | 27 | 10% |
| Psychology | 20 | 7% |
| Other | 45 | 17% |
| Unknown | 69 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 09 February 2015.
All research outputs
#5,188,100
of 25,085,910 outputs
Outputs from AIDS and Behavior
#780
of 3,661 outputs
Outputs of similar age
#68,957
of 364,050 outputs
Outputs of similar age from AIDS and Behavior
#11
of 43 outputs
Altmetric has tracked 25,085,910 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,661 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.3. This one has done well, scoring higher than 78% 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 364,050 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 81% of its contemporaries.
We're also able to compare this research output to 43 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.