Preferences for Depression Treatment Including Internet-Based Interventions: Results From a Large Sample of Primary Care Patients
Open accessAbstract
Background: To date, little is known about treatment preferences for depression concerning new media. This study aims to (1) investigate treatment preferences for depression including internet-based interventions and (2) examine subgroup differences concerning age, gender and severity of depression as well as patient-related factors associated with treatment preferences. Methods: Data were derived from the baseline assessment of the @ktiv-trial. Depression treatment preferences were assessed from n=641 primary care patients with mild to moderate depression regarding the following treatments: medication, psychotherapy, combined treatment, alternative treatment, talking to friends and family, exercise, self-help literature, and internet-based interventions. Depression severity was specified by GPs according to ICD-10 criteria. Ordinal logistic regression models were conducted to identify associated factors of treatment preferences. Results: Patients had a mean age of 43.9 years (SD = 13.8) and more than two thirds (68.6%) were female. About 43% of patients had mild depression while 57% were diagnosed with moderate depression. The majority of patients reported strong preferences for psychotherapy, talking to friends and family, and exercise. About one in five patients was very likely to consider internet-based interventions in case of depression. Younger patients expressed significantly stronger treatment preferences for psychotherapy and internet-based interventions than older patients. The most salient factors associated with treatment preferences were the patients’ education and perceived self-efficacy. Conclusions: Patients with depression report individually different treatment preferences. Our results underline the importance of shared decision-making within primary care. Future studies should investigate treatment preferences for different types of internet-based interventions.
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Most patients prefer nonpharmacological treatments for depression and insomnia.
“The latter is specifically important for most patients who prefer nonpharmacological treatments for depression [91] and insomnia [92].”
From The effects of exercise on sleep in unipolar depression: a systematic review and network meta-analysis (2021) · cites this paper as [91]
Barriers to depression screening and the lack of adequate follow-up in patients who screened positive for depression include lack of resources for treatment referrals, limited access to mental health services, and unequal geographical distribution of specialists.
“Barriers to depression screening and the lack of adequate follow-up in patients who screened positive for depression include lack of resources for treatment referrals, limited access to mental health services, and unequal geographical distribution of specialists.26,27”
From Digital health technologies and major depressive disorder (2023) · cites this paper as [26]
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- Authors
- Dorow, M., Löbner, M., Pabst, A., Stein, J., & Riedel-Heller, S. G.
- Affiliations
- Leipzig University (DE)
- Corresponding author
- Dorow, Marie
- Venue
- Frontiers in Psychiatry
- Publisher
- Frontiers Media SA
- Published
- 2018-05-17
- Volume
- 9
- Pages
- 181-181
- ISSN
- 1664-0640 (ISSN-L)
- PMC
- PMC5966543
- OpenAlex
- W2799976014
- Cited by
- 80
- References
- 88
- Citations by year
- 2026: 4 · 2025: 8 · 2024: 12 · 2023: 12 · 2022: 10 · 2021: 13 · 2020: 8 · 2019: 10 · 2018: 3
- FWCI
- 10.72
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Frontiers in Psychiatry (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Qucosa (Saxon State and University Library Dresden) (submittedVersion, cc-by)
- Qucosa (Saxon State and University Library Dresden) (submittedVersion, other-oa)
- Funders
- Bundesministerium für Bildung und Forschung (01GY1613)
- Topics
- Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
- Social Sciences › Psychology › Social Psychology › Mental Health Treatment and Access
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Keywords
- depression, treatment preferences, online intervention, primary care, psychotherapy, medication, self-help, physical activity, shared decision-making, age differences, self-efficacy, depression severity
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