Evidence map›Paper›PMID 35242587›Full record

ArticleInternet interventions2022

Factors associated with treatment uptake, completion, and subsequent symptom improvement in a national digital mental health service.

Shane P Cross, Eyal Karin, Lauren G Staples, Madelyne A Bisby, Katie Ryan, Georgia Duke, Olav Nielssen, Rony Kayrouz, Alana Fisher, Blake F Dear and 1 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Internet interventions, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 2 pooled it
8.0field-weighted citation impact, top 2% 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

31 citing papers in PubMed, 2 syntheses or guidelines pooled it, 57 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Trial
  5. Review
  6. Observational
  7. Article
  8. Innovations to improve outcomes and uptake of psychotherapies for mental disorders: a state-of-the-art review.World psychiatry : official journal of the World Psychiatric Association (WPA) · 2026
    Article
  9. Observational
  10. How Are People Undergoing Dialysis Expected to Benefit From Cognitive Behavioural Therapy? A Realist Analysis.Health expectations : an international journal of public participation in health care and health policy · 2025
    Article
  11. Review
  12. Article
  13. Using Machine Learning to Predict Uptake to an Online Self-Guided Intervention for Stress During the COVID-19 Pandemic.Stress and health : journal of the International Society for the Investigation of Stress · 2025
    Article
  14. Article
  15. Article
  16. A scoping review of digital health applications for managing noncommunicable diseases in primary care post-pandemic: Lessons from the Western Pacific Region.Malaysian family physician : the official journal of the Academy of Family Physicians of Malaysia · 2025
    Review
  17. Article
  18. Review
  19. Review
  20. 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

11 authors at 1 institution in 1 country.

Shane P CrossMindSpot Clinic, Macquarie University, Sydney, Australia.
Eyal KarinMindSpot Clinic, Macquarie University, Sydney, Australia.
Lauren G StaplesMindSpot Clinic, Macquarie University, Sydney, Australia.
Madelyne A BisbyMindSpot Clinic, Macquarie University, Sydney, Australia.
Katie RyanMindSpot Clinic, Macquarie University, Sydney, Australia.
Georgia DukeMindSpot Clinic, Macquarie University, Sydney, Australia.
Olav NielssenMindSpot Clinic, Macquarie University, Sydney, Australia.
Rony KayrouzMindSpot Clinic, Macquarie University, Sydney, Australia.
Alana FisherSchool of Psychological Sciences, Macquarie University, Sydney, Australia.
Blake F DearMindSpot Clinic, Macquarie University, Sydney, Australia.
Nickolai TitovMindSpot Clinic, Macquarie University, Sydney, Australia.
Macquarie University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Digital mental health services (DMHS) have proven effectiveness and play an important role within the broader mental health system by reducing barriers to evidence-based care. However, improved understanding of the factors associated with successful treatment uptake, treatment completion and positive clinical outcomes will facilitate efforts to maximise outcomes. Previous studies have demonstrated that patient age is positively associated, and initial symptom severity negatively associated with treatment uptake and treatment completion rates in both DMHS and other mental health services. The current study sought to extend these findings by examining the effect of other patient characteristics, in particular, self-reported psychosocial difficulties, using data from a large-scale national DMHS. Using a prospective uncontrolled observational cohort study design, we collected self-reported demographic, psychosocial and clinical data from 15,882 patients who accessed the MindSpot Clinic, Australia, between 1 January and 31 December 2019. Using a series of univariate regression models and multivariate classification algorithms we found that older age, higher educational attainment, and being in a relationship were all positively associated with uptake, completion and significant symptom improvement, while higher initial symptom severity was negatively associated with those outcomes. In addition, self-reported psychosocial difficulties had a significant negative impact on uptake, completion, and symptom improvement. Consistent with previous literature, the presence of these characteristics in isolation or in combination have a significant impact on treatment uptake, completion, and symptomatic improvement. Individual and multiple psychosocial difficulties are associated with reduced capacity to participate in treatment and hence an increased treatment burden. Identifying patients with lower capacity to complete treatment, modifications to treatments and the provision of supports to reduce treatment burden may promote greater engagement and completion of treatments offered by digital mental health services.

Indexed as

AssessmentDigital mental health serviceInternet-delivered cognitive behavioural treatment (iCBT)OutcomesTreatment burdenTreatment engagement

Identifiers

PMID35242587
PMCPMC8857488
OpenAlexW4213205386

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.