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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Development and testing of an online community care platform for frail older adults in the Netherlands: a user-centred design
|
|---|---|
| Published in |
BMC Geriatrics, April 2018
|
| DOI | 10.1186/s12877-018-0774-7 |
| Pubmed ID | |
| Authors |
Sarah Willard, Ger Cremers, Yan Ping Man, Erik van Rossum, Marieke Spreeuwenberg, Luc de Witte |
| Abstract |
Recent transitions in long-term care in the Netherlands have major consequences for community-dwelling older adults. A new paradigm expects them to manage and arrange their own care and support as much as possible. Technology can support this shift. A study has been conducted to explore the needs of community-dwelling frail older adults with regard to an online platform. An existing platform was subsequently modified, based upon these needs, resulting in an online community care platform (OCC-platform) comprising of care, health, and communication functions. The purpose of this platform was to support frail older adults in their independence and functioning, by stimulating self-care and providing reliable information, products and services. The study used a User-Centred Design. The development processes involved the following steps: Step 1) Identification of the User Requirements. To assess the user requirements, direct observations (N = 3) and interviews (N = 14) were performed. Step 2) Modification of an Existing Online Platform. Based upon Step 1, available online platforms were explored to determine whether an existing useful product was available. Two companies collaborated in modifying such a platform; Step 3) Testing the Modified Platform. A total of 73 older adults were invited to test a prototype of the OCC-platform during 6 months, which comprised of two phases: (1) a training phase; and (2) a testing phase. An iterative process of modifications resulted in an interactive software concept on a Standard PC, containing 11 Functions. The Functions of 'contacts', 'services' and 'messaging', were by far, the most frequently used. The use was at its highest during the first 2 weeks of the testing and then its use steadily declined. The vast majority of the subjects (94%) were positive about the usability of the platform. Only a minority of the subjects (27%) indicated that the platform had added value for them. The overall prospect was that an OCC-platform can contribute to the social participation and the self-management competencies of frail older adults, together with their social cohesion in the community. In order to validate these prospects, further research is needed on the characteristics and the impact of online platforms. |
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 % |
|---|---|---|
| Spain | 1 | 33% |
| Unknown | 2 | 67% |
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 139 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 139 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 18 | 13% |
| Researcher | 15 | 11% |
| Student > Master | 15 | 11% |
| Student > Doctoral Student | 13 | 9% |
| Student > Bachelor | 12 | 9% |
| Other | 18 | 13% |
| Unknown | 48 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 19 | 14% |
| Medicine and Dentistry | 13 | 9% |
| Computer Science | 10 | 7% |
| Social Sciences | 9 | 6% |
| Engineering | 8 | 6% |
| Other | 30 | 22% |
| Unknown | 50 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 13 May 2018.
All research outputs
#3,651,318
of 23,041,514 outputs
Outputs from BMC Geriatrics
#920
of 3,238 outputs
Outputs of similar age
#72,771
of 328,950 outputs
Outputs of similar age from BMC Geriatrics
#28
of 60 outputs
Altmetric has tracked 23,041,514 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,238 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.5. This one has gotten more attention than average, scoring higher than 71% 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 328,950 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 77% of its contemporaries.
We're also able to compare this research output to 60 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 51% of its contemporaries.