Evidence map›Paper›PMID 29942560›Full record

ArticleDigital health

Online support system for students in higher education: Proof-of-concept study.

Anna K Touloumakos, Rhianna Goozée, Marietta Papadatou-Pastou, Elizabeth Barley, Mark Haddad, Patapia Tzotzoli

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Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

7 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. A review of web-based support systems for students in higher education.International journal of mental health systems · 2017
    Review
  7. 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

6 authors.

Anna K TouloumakosBusiness College of Athens, Greece.
Rhianna GoozéeDepartment of Psychosis Studies, King's College London, UK.
Marietta Papadatou-PastouResearch Centre for Psychophysiology and Education, National and Kapodistrian University of Athens, Greece.
Elizabeth BarleyFlorence Nightingale Faculty of Nursing and Midwifery, King's College London, UK.
Mark HaddadSchool of Health Sciences, City University London, UK.
Patapia TzotzoliPrivate Practice at Bank and Harley Street, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundProviding support to the increasing numbers of students facing mental health difficulties in higher education (HE) can be difficult due to stigma or lack of resources. Alternative and/or complementary sources of support are needed, such as online interventions that are recognised for their therapeutic value and cost-effectiveness.

objectivesWe aim to provide evidence supporting the conceptual and practical value of a newly developed online multimedia intervention system for HE students who face mild to moderate symptoms of anxiety and depression and study-skills difficulties.

methodsStudents from five universities were invited to participate in a cross-sectional proof-of-concept study. Students were invited through the universities' internal communication channels. Following demonstration of each part of the system, students completed a survey with quantitative and qualitative questions.

resultsResponse was largely positive. Positive responses on the features of the questionnaire ranged between 65% and 86%; on the features of the workshops ranged between 57% and 91%; on 'My place' ranged between 65% and 79%; on the animated videos ranged between 79% and 92%; and on the overall system ranged between 78% and 89%. Participants indicated areas for improvement and ways in which such improvement could be accomplished; these then guided the development of the system.

conclusionsThe results confirm the need for such a system. It can complement student support services (SSS) by dealing with cases with mild to moderate difficulties, hence allowing SSS to prioritise and effectively address more severe cases. Potentially this method can provide a meaningful alternative to SSS; this is worth investigating further.

Indexed as

anxiety and depressionhigher educationOnline support systemstudentsstudy skills

Identifiers

PMID29942560
PMCPMC6001197

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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.