Title |
Integrating mobile-phone based assessment for psychosis into people’s everyday lives and clinical care: a qualitative study
|
---|---|
Published in |
BMC Psychiatry, January 2013
|
DOI | 10.1186/1471-244x-13-34 |
Pubmed ID | |
Authors |
Jasper E Palmier-Claus, Anne Rogers, John Ainsworth, Matt Machin, Christine Barrowclough, Louise Laverty, Emma Barkus, Shitij Kapur, Til Wykes, Shôn W Lewis |
Abstract |
Over the past decade policy makers have emphasised the importance of healthcare technology in the management of long-term conditions. Mobile-phone based assessment may be one method of facilitating clinically- and cost-effective intervention, and increasing the autonomy and independence of service users. Recently, text-message and smartphone interfaces have been developed for the real-time assessment of symptoms in individuals with schizophrenia. Little is currently understood about patients' perceptions of these systems, and how they might be implemented into their everyday routine and clinical care. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Spain | 3 | 21% |
United Kingdom | 2 | 14% |
Egypt | 1 | 7% |
Unknown | 8 | 57% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 11 | 79% |
Scientists | 2 | 14% |
Practitioners (doctors, other healthcare professionals) | 1 | 7% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 4 | 1% |
Portugal | 2 | <1% |
Germany | 2 | <1% |
United Kingdom | 2 | <1% |
Brazil | 2 | <1% |
Netherlands | 1 | <1% |
Australia | 1 | <1% |
Italy | 1 | <1% |
France | 1 | <1% |
Other | 4 | 1% |
Unknown | 370 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 67 | 17% |
Student > Ph. D. Student | 66 | 17% |
Researcher | 58 | 15% |
Student > Bachelor | 32 | 8% |
Other | 21 | 5% |
Other | 75 | 19% |
Unknown | 71 | 18% |
Readers by discipline | Count | As % |
---|---|---|
Psychology | 102 | 26% |
Medicine and Dentistry | 66 | 17% |
Social Sciences | 29 | 7% |
Nursing and Health Professions | 28 | 7% |
Computer Science | 27 | 7% |
Other | 45 | 12% |
Unknown | 93 | 24% |