Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
From alcohol detoxification to treatment: A qualitative interview study on perceived barriers and assessed potential of mHealth among individuals postdetoxification
Stockholm University, Faculty of Social Sciences, Department of Psychology, Clinical psychology.ORCID iD: 0000-0002-2172-8813
Show others and affiliations
Number of Authors: 72024 (English)In: Psychology of Addictive Behaviors, ISSN 0893-164X, E-ISSN 1939-1501, Vol. 38, no 8, p. 879-890Article in journal (Refereed) Published
Abstract [en]

Objective: Most individuals attending detoxification clinics do not pursue subsequent treatment. Earlier research has suggested that emerging technologies like mHealth interventions could address the postdetoxification treatment gap, yet it remains unclear whether patients themselves endorse such approaches. Our study aimed to qualitatively explore perceived treatment barriers and assessed potential of mHealth among individuals who have undergone alcohol detoxification. Method: We conducted a single-interview-per-participant qualitative study, sampling participants (n = 23) that had visited the Stockholm substance use disorder emergency department for alcohol-related reasons, of whom n = 8 were purposively included due to having missed their scheduled follow-up outpatient appointment. Semistructured telephone interviews were conducted (2021–2022) and then systematically analyzed using reflexive thematic analysis. Results: Across both areas of analysis, we identified six themes in total. We clustered barriers to postdetoxification treatment into three themes (10 subthemes) that may offer a nuancing perspective on previous research: “Misalignment between the treatment system and the individual,” “Practical hurdles” and “Between reaching out and retreating.” We identified three themes in participants’ perspectives on mHealth as aftercare support, revealing expectations that such an approach may promote “self-awareness on own terms,” assist in “navigating from solitary substance use struggles to supportive connections,” and “offer a lifeline when needed most,” thereby potentially resolving several barriers to treatment. Conclusions: This first qualitative study on barriers to alcohol treatment and mHealth potential postdetoxification offered various insights that may be translated into effective, real-world solutions to bridge the postdetoxification treatment gap. A natural next step for future research is to evaluate the impact of mHealth postdetoxification.

Place, publisher, year, edition, pages
2024. Vol. 38, no 8, p. 879-890
Keywords [en]
alcohol detoxification, treatment, qualitative interview study, perceived barriers, mHealth, postdetoxification
National Category
Psychology
Research subject
Psychology
Identifiers
URN: urn:nbn:se:su:diva-235828DOI: 10.1037/adb0001008ISI: 001300919900001PubMedID: 38635201Scopus ID: 2-s2.0-85195555615OAI: oai:DiVA.org:su-235828DiVA, id: diva2:1915701
Funder
Forte, Swedish Research Council for Health, Working Life and Welfare, 2019-01642Available from: 2024-11-25 Created: 2024-11-25 Last updated: 2025-01-15Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textPubMedScopus

Authority records

Carlbring, Per

Search in DiVA

By author/editor
Romero, DaniloRozental, AlexanderCarlbring, PerJohansson, Magnus
By organisation
Clinical psychology
In the same journal
Psychology of Addictive Behaviors
Psychology

Search outside of DiVA

GoogleGoogle Scholar

doi
pubmed
urn-nbn

Altmetric score

doi
pubmed
urn-nbn
Total: 101 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf