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The effectiveness of a solution-focused approach (DIALOG+) for patients with severe mental illness and epilepsy in Uganda: A randomised controlled trial
A patient centred, solution-focused approach, DIALOG+ was assessed for effectiveness among patients with severe mental illness (SMI) and epilepsy in Uganda. Fourteen clinicians and 168 patients attending Butabika National Mental Referral Hospital and outreach clinics in Kampala, Uganda were randomis...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier B.V
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9995275/ https://www.ncbi.nlm.nih.gov/pubmed/36911535 http://dx.doi.org/10.1016/j.psycom.2022.100097 |
Sumario: | A patient centred, solution-focused approach, DIALOG+ was assessed for effectiveness among patients with severe mental illness (SMI) and epilepsy in Uganda. Fourteen clinicians and 168 patients attending Butabika National Mental Referral Hospital and outreach clinics in Kampala, Uganda were randomised equally to receive DIALOG + once a month for six months or an active control (DIALOG scale only). The primary outcome was subjective quality of life measured by the Manchester Short Assessment of Quality of life (MANSA) at six months and secondary outcomes assessed at six and twelve months. A generalised linear model with a fixed effect for treatment and the baseline MANSA score and a random effect for clinicians to account for clustering was used to analyse effectiveness of the intervention. The primary outcome was assessed in 154 out of 168 patients (91.7%). Patients in the DIALOG + arm had significantly higher subjective quality of life with a medium Cohen's d effect size of 0.55 and higher adherence to medication after 6 months as compared to the control group. DIALOG + intervention could be a therapeutically effective option for improving quality of life for patients with severe mental illness and epilepsy with the potential to enhance routine review meetings in low-resource settings. |
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