Feasibility of an eHealth Service for Depression Care
Author Information
Author(s): Matic Meglic, Mirjana Furlan, Marja Kuzmanic, Dejan Kozel, Dusan Baraga, Irma Kuhar, Branko Kosir, Rade Iljaz, Brigita Novak-Sarotar, Mojca Zvezdana Dernovsek, Andrej Marusic, Gunther Eysenbach, Andrej Brodnik
Primary Institution: University of Primorska
Hypothesis
Can we develop eHealth interventions to treat depression that sustain net benefits while reducing resource utilization and cost?
Conclusion
The pilot study indicates that the eHealth intervention was well accepted and may improve medication adherence and treatment outcomes for depression.
Supporting Evidence
- 81% of patients felt actively engaged and in control of their disease.
- Adherence in the intervention group was significantly higher at 83%.
- The intervention group showed a greater reduction in depression severity compared to the control group.
Takeaway
This study tested a new online tool to help people with depression stick to their treatment, and it seemed to work well.
Methodology
The study compared two groups of patients: one receiving standard treatment and the other receiving standard treatment plus the eHealth intervention.
Potential Biases
The fixed allocation sequence and lack of blinding may have introduced bias.
Limitations
Small sample sizes and high dropout rates led to wide confidence intervals and potential bias due to lack of blinding.
Participant Demographics
Of the 46 patients, 40 were female, with a median age of 36 years.
Statistical Information
P-Value
0.03
Confidence Interval
1.28-78.1
Statistical Significance
p<0.05
Digital Object Identifier (DOI)
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