ArticleBMC health services research2025
Understanding the unique goals of complex support clients accessing alcohol and other drug treatment.
Article in BMC health services research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled 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.
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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.
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Who cites it
2 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A systematic review of the use of artificial intelligence in mental health-based diabetes care: Current applications and future directions.Diabetic medicine : a journal of the British Diabetic Association · 2026Pooled it
- A scoping review of the use of artificial intelligence as a psychological assessment tool.Translational psychiatry · 2026Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundActively involving clients of Alcohol and Other Drug (AOD) services in selecting their own treatment goals may help to align clients' and service providers' expectations of treatment and improve engagement with services. This study explored the type and frequency of client-selected treatment goals; self-reported progress towards their goals; client and clinician views of their progress, and the acceptability of selecting and tracking goals in a non-residential AOD treatment provider in New South Wales, Australia.
methodsA mixed method study was conducted. Clients selected their goals during AOD treatment then self-rated their progress towards goals using the validated 11-point goal-based outcome (GBO) rating tool. Qualitative interviews were conducted with clients and clinicians. Mean GBO ratings were reported for each timepoint. Goals were thematically analysed to identify type, then descriptively analysed to identify frequency. Interviews were thematically analysed by one researcher and reviewed by a second.
resultsAmong the 22 clients who completed the GBO at least once, the median number of self-identified goals was 3. The most common goals included: (1) managing mental health and (2) developing strategies to prevent relapse and manage AOD cravings. Most participants reported improvements in their selected goals; there were no participants who reported lower GBO scores at the second timepoint compared to the first. Qualitative themes demonstrate that while the GBO approach provided clarity for clients, was acceptable to clients and clinicians, and considered client expectations of treatment, the approach was difficult for those with limited literacy and reflexive thinking. Those experiencing lapse or relapse reported the linear GBO rating approach was potentially demotivating.
conclusionsFindings demonstrate that a goals-based outcome approach can promote shared decision-making between client and clinicians about treatment goals which are valued by clients. Service providers should be aware of potential complexity of recalling selected goals and completing ratings particularly among clients with co-occurring mental illness and memory impairment. Goals that are time-specific, realistic and relevant should be prioritised to minimise risks of demotivation arising from non-linear progress towards goals.
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