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Psychiatric Patients Tracking Through a Private Social Network for Relatives: Development and Pilot Study

Overview of attention for article published in Journal of Medical Systems, May 2016
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94 Mendeley
Title
Psychiatric Patients Tracking Through a Private Social Network for Relatives: Development and Pilot Study
Published in
Journal of Medical Systems, May 2016
DOI 10.1007/s10916-016-0530-5
Pubmed ID
Authors

Francisco J. García-Peñalvo, Manuel Franco Martín, Alicia García-Holgado, José Miguel Toribio Guzmán, Jesús Largo Antón, Ma. Cruz Sánchez-Gómez

Abstract

The treatment of psychiatric patients requires different health care from that of patients from other medical specialties. In particular, in the case of Department of Psychiatry from the Zamora Hospital (Spain), the period of time which patients require institutionalized care is a tiny part of their treatment. A large part of health care provided to the patient is aimed at his/her rehabilitation and social integration through day-care centres, supervised flats or activities. Conversely, several reports reveal that approximately 50 % of Internet users use the network as a source of health information, which has led to the emergence of virtual communities where patients, relatives or health professionals share their knowledge concerning an illness, health problem or specific health condition. In this context, we have identified that the relatives have a lack of information regarding the daily activities of patients under psychiatric treatment. The social networks or the virtual communities regarding health problems do not provide a private space where relatives can follow the patient's progress, despite being in different places. The goal of the study was to use technologies to develop a private social network for being used by severe mental patients (mainly schizophrenic patients). SocialNet is a pioneer social network in the health sector because it provides a social interaction context restricted to persons authorized by the patient or his/her legal guardian in such a way that they can track his/her daily activity. Each patient has a private area only accessible to authorized persons and their caregivers, where they can share pictures, videos or texts regarding his/her progress. A preliminary study of usability of the system has been made for increasing the usefulness and usability of SocialNet. SocialNet is the first system for promoting personal interactions among formal caregivers, family, close friends and patient, promoting the recovery of schizophrenic patients. Future studies should study the network's potential usefulness for improving the prognosis and recovery of schizophrenia.

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The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 94 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 1%
Unknown 93 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 16%
Student > Master 15 16%
Student > Ph. D. Student 11 12%
Student > Doctoral Student 8 9%
Student > Bachelor 7 7%
Other 16 17%
Unknown 22 23%
Readers by discipline Count As %
Psychology 15 16%
Medicine and Dentistry 14 15%
Computer Science 13 14%
Nursing and Health Professions 10 11%
Social Sciences 7 7%
Other 8 9%
Unknown 27 29%
Attention Score in Context

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 10 March 2017.
All research outputs
#13,779,710
of 22,875,477 outputs
Outputs from Journal of Medical Systems
#530
of 1,151 outputs
Outputs of similar age
#181,539
of 338,929 outputs
Outputs of similar age from Journal of Medical Systems
#13
of 27 outputs
Altmetric has tracked 22,875,477 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,151 research outputs from this source. They receive a mean Attention Score of 4.5. This one has gotten more attention than average, scoring higher than 53% 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 338,929 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 27 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.