ArticleAddiction science & clinical practice2025
Digital interventions as part of routine addiction care in Sweden: healthcare staff perceptions of what works.
Article in Addiction science & clinical practice, 2025. 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
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
2 citing papers in PubMed.
- Anticipated barriers and facilitators of implementing a digital behavioral treatment for chronic pain: a qualitative interview study.BMC health services research · 2026Article
- Clinicians' perspectives on integrating smartphone application data into routine alcohol dependency treatment: factors influencing implementation.Addiction science & clinical practice · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundEvery year about three million people die globally due to harmful alcohol use. The treatment gap remains high: only about 14% of individuals with problematic alcohol use access treatment. The implementation of digital interventions, addressing problematic alcohol use, into healthcare can be one way of reducing the treatment gap. However, little is known about how healthcare staff perceive the integration of digital interventions in routine addiction care. The aim of the study was to identify and describe healthcare staff's experiences of perceived benefits of digital interventions for patients with alcohol use disorders (AUD), introduced in recent years within routine specialized addiction care in Sweden. The aim was further to explore how the use of such interventions in this setting could be further developed.
methodsThis study was conducted as an exploratory qualitative interview study with 16 informants from addiction care staff in Stockholm, Sweden. The informants came from three different groups: clinical managers, staff referring outpatients to digital interventions from within addiction care, and therapists from an e-support unit. The interviews were recorded, transcribed, and analyzed with thematic analysis.
resultsThree themes illustrated the benefits of digital interventions in routine addiction care, and future development areas. The theme An easy way in reflected the importance of easy access to addiction care where care would be flexible and available to everyone. Meeting individual patient needs raised the question of how to adapt treatment formats to the patients' individual needs. Smoothly interlocking organizational gears highlighted the need for structure and cooperation between digital care and in-person care. Each theme included three additional subthemes.
conclusionsThe study identifies key factors for successfully integrating digital interventions in addiction care, highlighting the importance of staff engagement, structured workflows, training, and ongoing evaluation using a sociological framework.
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.