Evidence map›Paper›PMID 28756494›Full record

ArticleJournal of medical systems2017

Usability Evaluation of a Private Social Network on Mental Health for Relatives.

José Miguel Toribio-Guzmán, Alicia García-Holgado, Felipe Soto Pérez, Francisco J García-Peñalvo, Manuel Franco Martín

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Article in Journal of medical systems, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

José Miguel Toribio-GuzmánIberian Institute for Research in Psychosciences, INTRAS Foundation, Zamora, Spain.
Alicia García-HolgadoComputer Sciences Department, Research Institute for Educational Sciences, GRIAL Research Group, University of Salamanca, Salamanca, Spain. aliciagh@usal.es.ORCID http://orcid.org/0000-0001-9663-1103
Felipe Soto PérezIberian Institute for Research in Psychosciences, INTRAS Foundation, Zamora, Spain.
Francisco J García-PeñalvoComputer Sciences Department, Research Institute for Educational Sciences, GRIAL Research Group, University of Salamanca, Salamanca, Spain.
Manuel Franco MartínDepartment of Psychiatry, Zamora Hospital, Zamora, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Usability is one of the most prominent criteria that must be fulfilled by a software product. This study aims to evaluate the usability of SocialNet, a private social network for monitoring the daily progress of patients by their relatives, using a mixed usability approach: heuristic evaluation conducted by experts and user testing. A double heuristic evaluation with one expert evaluator identified the issues related to consistency, design, and privacy. User testing was conducted on 20 users and one evaluator using observation techniques and questionnaires. The main usability problems were found to be related to the structure of SocialNet, and the users presented some difficulties in locating the buttons or links. The results show a high level of usability and satisfaction with the product. This evaluation provides data on the usability of SocialNet based on the difficulties experienced by the users and the expert. The results help in redesigning the tool to resolve the identified problems as part of an iterative process.

Indexed as

Mental HealthSocial SupportHumansPrivacySoftwareSurveys and QuestionnairesUser-Computer InterfaceHeuristic evaluationInformation systemPatient care systemSocial networkUsability testingWeb

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.