ArticlePloS one2024
Community perception towards mental illness and help-seeking intention in Southwest Ethiopian Peoples Regional State.
Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
backgroundCommunity perception of mental illness is a collective belief system and attitude about mental disorders; it affects the availability of services, the level of stigma, and the help-seeking intention. This study assessed community perceptions towards mental illness and help-seeking intentions in Southwest Ethiopia. METHODS AND MATERIAL: A community-based analytical cross-sectional study was done in Southwest Ethiopian People's Regional State (SWEPRS), from March 1st to June 30th, 2021. All adult individuals >18 years old living in the region were the source population, while all adult >18 years old living in the selected household were the study population. The calculated sample size was 1028. Participants were selected using a multistage sampling technique. A structured, interview-based questionnaire was used to collect the data. The data were entered into Epidata Manager and exported to SPSS for analysis.
resultThe response rate for this study was 95.4%. The prevalence of poor perception and unfavorable help-seeking intention of mental illness were 45.8%, 95% CI (42.6, 48.9), and 49.5%, 95% CI (46.4, 52.7) respectively. Being rural [AOR = 1.94 (95% CI:(1.41, 2.66)]c, lack of information [AOR = 4.82(95% CI: (3.39,6.83)], exposure to mental illness [AOR = 4.11(95% CI:(2.64,6.38)] were significantly associated with poor perception of mental illness. Also, gating mental illness information [AOR = 0.40 (95% CI: (0.19, 0.83)], and being exposed to mental illness [AOR = 0.56 (95% CI: (0.41, 0.79)] were significantly associated with unfavorable help-seeking intentions for mental illness.
conclusionThe high prevalence of poor perceptions and unfavorable help-seeking intentions for mental illness can be minimized through providing tailored information regarding the cause, type, and severity of the problem, particularly in the rural areas.
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