ArticleHealth expectations : an international journal of public participation in health care and health policy2024
Uptake of a self-guided digital treatment for depression and anxiety: A qualitative study exploring patient perspectives and decision-making.
Article in Health expectations : an international journal of public participation in health care and health policy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
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.
Who cites it
2 citing papers in PubMed.
- Examining an entirely self-guided transdiagnostic internet-delivered intervention 'in the wild': A randomised controlled trial for anxiety and depression with minimal inclusion criteria.Internet interventions · 2025Article
- Uptake of a self-guided digital treatment for depression and anxiety: A qualitative study exploring patient perspectives and decision-making.Health expectations : an international journal of public participation in health care and health policy · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
backgroundDespite the demonstrated efficacy and potential scalability of self-guided digital treatments for common mental health conditions, there is substantial variability in their uptake and engagement. This study explored the decision-making processes, influences and support needs of people taking up a self-guided digital treatment for anxiety and/or depression.
methodsAustralian-based adults (n = 20) were purposively sampled from a trial of self-guided digital mental health treatment. One-to-one, semistructured interviews were conducted, based on the Ottawa Decision-Support Framework. Interviews were transcribed verbatim and analysed thematically using framework methods. Baseline sociodemographic, clinical and decision-making characteristics were also collected.
resultsAnalyses yielded four themes. Theme 1 captured participants' openness to try self-guided digital treatment, despite limited deliberation on potential downsides or alternative options. Theme 2 highlighted that immediacy and ease of access were major drivers of uptake, which participants contrasted with gaps in access and continuity of care in face-to-face services, especially rurally. Theme 3 centred on participants as the main agents in their decision-making, with family and health professional attitudes also reportedly influencing decision-making. Theme 4 revealed participants' primary motivations for deciding to take up treatment (e.g., the potential to increase insight and coping skills), while also acknowledging that pre-existing characteristics (e.g., health and digital literacy, insight) determined participants' personal suitability for self-guided digital treatment.
conclusionFindings help to elucidate the decision-making influences and processes amongst people who started a self-guided treatment for depression and anxiety. Additional information and decision support resources appear warranted, which may also improve the accessibility of self-guided treatments. PUBLIC OR PATIENT CONTRIBUTION: Patients were interviewed about their views and experiences of decision-making about accessing and taking up treatment. As such, patient contribution to the research was as study participants.
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Registered trials
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.