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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Development and testing of a mobile application to support diabetes self-management for people with newly diagnosed type 2 diabetes: a design thinking case study
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, June 2017
|
| DOI | 10.1186/s12911-017-0493-6 |
| Pubmed ID | |
| Authors |
Mira Petersen, Nana F. Hempler |
| Abstract |
Numerous mobile applications have been developed to support diabetes-self-management. However, the majority of these applications lack a theoretical foundation and the involvement of people with diabetes during development. The aim of this study was to develop and test a mobile application (app) supporting diabetes self-management among people with newly diagnosed type 2 diabetes using design thinking. The app was developed and tested in 2015 using a design-based research approach involving target users (individuals newly diagnosed with type 2 diabetes), research scientists, healthcare professionals, designers, and app developers. The research approach comprised three major phases: inspiration, ideation, and implementation. The first phase included observations of diabetes education and 12 in-depth interviews with users regarding challenges and needs related to living with diabetes. The ideation phrase consisted of four interactive workshops with users focusing on app needs, in which ideas were developed and prioritized. Finally, 14 users tested the app over 4 weeks; they were interviewed about usability and perceptions about the app as a support tool. A multifunctional app was useful for people with newly diagnosed type 2 diabetes. The final app comprised five major functions: overview of diabetes activities after diagnosis, recording of health data, reflection games and goal setting, knowledge games and recording of psychological data such as sleep, fatigue, and well-being. Users found the app to be a valuable tool for support, particularly for raising their awareness about their psychological health and for informing and guiding them through the healthcare system after diagnosis. The design thinking processes used in the development and implementation of the mobile health app were crucial to creating value for users. More attention should be paid to the training of professionals who introduce health apps. Danish Data Protection Agency: 2012-58-0004. Registered 6 February 2016. |
X Demographics
The data shown below were collected from the profiles of 16 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 6 | 38% |
| United Kingdom | 3 | 19% |
| Chile | 1 | 6% |
| Mexico | 1 | 6% |
| Turkey | 1 | 6% |
| France | 1 | 6% |
| Unknown | 3 | 19% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 56% |
| Scientists | 4 | 25% |
| Practitioners (doctors, other healthcare professionals) | 2 | 13% |
| Science communicators (journalists, bloggers, editors) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 354 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Norway | 1 | <1% |
| Unknown | 353 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 65 | 18% |
| Student > Ph. D. Student | 43 | 12% |
| Student > Bachelor | 30 | 8% |
| Researcher | 26 | 7% |
| Lecturer | 16 | 5% |
| Other | 60 | 17% |
| Unknown | 114 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 63 | 18% |
| Medicine and Dentistry | 34 | 10% |
| Computer Science | 31 | 9% |
| Business, Management and Accounting | 18 | 5% |
| Psychology | 12 | 3% |
| Other | 71 | 20% |
| Unknown | 125 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 2022.
All research outputs
#3,212,803
of 24,903,209 outputs
Outputs from BMC Medical Informatics and Decision Making
#242
of 2,116 outputs
Outputs of similar age
#56,593
of 320,973 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#6
of 43 outputs
Altmetric has tracked 24,903,209 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,116 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one has done well, scoring higher than 88% 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 320,973 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 82% 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 88% of its contemporaries.