Evidence map›Paper›PMID 31489205›Full record

ArticleDigital health

Usability evaluation of an eHealth intervention for family carers of individuals affected by psychosis: A mixed-method study.

Jacqueline Sin, Luke A Woodham, Claire Henderson, Elen Williams, Aurora Sesé Hernández, Steve Gillard

Open access · goldAbstract read
In one paragraph

Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
3.4field-weighted citation impact, top 8% of its field
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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Operationalising a Recovery-Oriented Support and Information Programme Online: The EOLAS Programme.International journal of environmental research and public health · 2023
    Article
  10. Article
  11. Ensuring patient and public involvement in the transition to AI-assisted mental health care: A systematic scoping review and agenda for design justice.Health expectations : an international journal of public participation in health care and health policy · 2021
    Article
  12. Article
  13. Article
  14. 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 at 3 institutions in 2 countries.

Jacqueline SinPopulation Health Research Institute, St George's, University of London, UK.ORCID https://orcid.org/0000-0003-0590-7165
Luke A WoodhamInstitute of Medical and Biomedical Education, St George's, University of London, UK.
Claire HendersonHealth Service & Population Research Department, King's College London, Institute of Psychiatry, Psychology & Neuroscience, UK.
Elen WilliamsIndependent GPBoth of the authors are first joint authors on the published paper.
Aurora Sesé HernándezInstitute of Medical and Biomedical Education, St George's, University of London, UK.
Steve GillardPopulation Health Research Institute, St George's, University of London, UK.
St George's, University of London · GBFoundation for Human Potential · USKing's College London · GB

Funding

Department of Health PDF-2015-08-035
6 · The paper itself

Abstract

backgroundExisting research suggests that eHealth interventions targeting family carers of individuals with long-term illness offer a promising approach to care delivery. In particular, digital psychoeducational interventions with interactive psychosocial support are well-received with high rates of satisfaction and acceptability. However, development of such interventions for psychosis carers is lacking. We developed a multi-component eHealth intervention specifically for carers of individuals affected by psychosis, called COPe-support (Carers fOr People with Psychosis e-support).

objectiveUsing mixed methods to evaluate usability, system heuristics and perceived acceptability, we conducted a usability study to establish the suitability of the intervention prototype for the target user group.

methodsTwenty-three carers were recruited to the study and participated in a think-aloud test or a remote online trial of the intervention. Qualitative feedback, post-use System Usability Scale (SUS) scores, and real-world usage data collected from the tests were analysed. These were also supplemented with heuristic evaluation data provided by an independent eLearning technology expert.

resultsParticipants evaluated the intervention content as useful and helpful, and indicated that the system had satisfactory usability with a mean SUS score of 73%, above the usability quality benchmark threshold. Study results identified some minor usability issues, which were corroborated with the eLearning expert's heuristic evaluation findings. We used these results to refine the COPe-support intervention.

conclusionsThe usability study with end-users and service providers identified real-life usage and usability issues. The study results helped us refine COPe-support and its delivery strategy before its launch as part of a large-scale clinical trial.

Indexed as

carers/caregiverseHealthFamilyheuristic evaluationpsychosisSystem Usability Scalethink-aloud testusability evaluation

Identifiers

PMID31489205
PMCPMC6713967
OpenAlexW2970780611

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.