| Title |
A pilot with computer-assisted psychosocial risk –assessment for refugees
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, July 2012
|
| DOI | 10.1186/1472-6947-12-71 |
| Pubmed ID | |
| Authors |
Farah Ahmad, Yogendra Shakya, Jasmine Li, Khaled Khoaja, Cameron D Norman, Wendy Lou, Izzeldin Abuelaish, Hayat M Ahmadzi |
| Abstract |
Refugees experience multiple health and social needs. This requires an integrated approach to care in the countries of resettlement, including Canada. Perhaps, interactive eHealth tools could build bridges between medical and social care in a timely manner. The authors developed and piloted a multi-risk Computer-assisted Psychosocial Risk Assessment (CaPRA) tool for Afghan refugees visiting a community health center. The iPad based CaPRA survey was completed by the patients in their own language before seeing the medical practitioner. The computer then generated individualized feedback for the patient and provider with suggestions about available services. |
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 % |
|---|---|---|
| United States | 2 | 67% |
| India | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 2 | 67% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 140 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 5 | 4% |
| United Kingdom | 1 | <1% |
| United States | 1 | <1% |
| Philippines | 1 | <1% |
| Unknown | 132 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 25 | 18% |
| Student > Master | 24 | 17% |
| Researcher | 15 | 11% |
| Student > Doctoral Student | 12 | 9% |
| Student > Bachelor | 9 | 6% |
| Other | 30 | 21% |
| Unknown | 25 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 28 | 20% |
| Psychology | 26 | 19% |
| Social Sciences | 19 | 14% |
| Nursing and Health Professions | 14 | 10% |
| Business, Management and Accounting | 8 | 6% |
| Other | 18 | 13% |
| Unknown | 27 | 19% |
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 31 August 2012.
All research outputs
#14,147,730
of 22,671,366 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,101
of 1,978 outputs
Outputs of similar age
#95,897
of 163,490 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#29
of 44 outputs
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So far Altmetric has tracked 1,978 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 38th percentile – i.e., 38% of its peers scored the same or lower than it.
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