ArticleHealth expectations : an international journal of public participation in health care and health policy2025
Co-Design of an Ecosystem of Services to Support Veteran Well-Being and Reduce Excessive Alcohol Consumption.
Article in Health expectations : an international journal of public participation in health care and health policy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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
1 citing paper in PubMed.
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
backgroundAlcohol consumption among veterans has been shown to be higher than that among the general population. Many veterans experience difficulties during the transition to post-service life, and alcohol is used as a coping mechanism. Excessive alcohol use leads to a significant decrease in mental health, quality of life and social functioning, further exacerbating veteran's readjustment to civilian life after service.
objectiveThis study aimed to co-design a transition programme to reduce problematic alcohol use. The objectives were to (1) understand which life domains need to be considered within programmes to support successful transition without harmful alcohol consumption and (2) co-design a transition programme with New Zealand veterans (and service providers) to avoid harmful alcohol consumption.
designThis study offers a novel approach to the development of programmes to reduce excessive alcohol consumption by veterans through the use of a participatory design method. The study involved four co-design workshops with veterans and Defence health professionals, in Aotearoa-New Zealand, and abductive analysis of qualitative data. The analysis compared perspectives obtained from veterans and health professionals with existing well-being and transition frameworks.
resultsFindings supported recommendations within those frameworks for strategies to support mental, physical, social/family and spiritual well-being, as well as finding meaningful work or employment. Themes emerged beyond those frameworks, including a need for programmes to manage loss of identity; lack of trust, scepticism and stigma; and a desire for connected records and networked services.
conclusionsThe research offers practical recommendations for a co-designed veteran well-being ecosystem. This involved early prevention, in-service elements and ongoing support through transition and in post-service life. This was supported with the suggestion for a network of services that is promoted well and makes it easy for veterans to identify services that can increase their feeling of competence as they navigate transition. PATIENT OR PUBLIC CONTRIBUTION: This study used a co-design process that engaged veterans and Defence health professionals in the design of a programme and programme elements that they would like to see for veterans like themselves or veterans they have encountered in practice.
Indexed as
Identifiers
What OpenQuestion holds
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.