Background: The lack of public knowledge and the burden caused by mental-health issues’ effect on developing and implementing adequate mental-health care for young and adolescent in low- and middle-income countries (LMIC). Primary health care could be the key in facing the challenge, but it suffers from insufficient resources and poor mental health literacy. This study’s aim was to adapt the content validity of the Mental Health Literacy Scale (MHLS) developed by O’Connor & Casey (2015) with researchers and primary health-care workers in low- and middle-income contexts in South Africa (SA) and in Zambia.Objectives: The study population comprised two expert panels (N = 21); Clinical Experts (CE) (n = 10) from Lusaka, Zambia and Professional Research Experts (PE) (n = 11) from the MEGA project management team were recruited to the study.Methods: MHLS was validated in a South African and a Zambian context using a heterogeneous expert-panel method. Participants were asked to rate the 35 MHLS items on a 4-point scale with 1 as not relevant and 4 as very relevant After the rating, all 35 MHLS items were carefully discussed by the expert panel and evaluated according their relevance. The data were analyzed using an item-level content validity index (I-CVI) and narrative and thematic analyses.Results: All 35 items ranked by the PREs met the cutoff criteria (≥0.8), and ten (n = 10) items were seen as relevant by CE when calculating I-CVIs. Based on the results of ratings and discussion, a group of sixteen (n = 16) of all items (n = 35) were retained as original without reviewing. A total of nineteen (n = 19) items were reviewed.Conclusion: This study found the MHLS to have sufficient validity in LMICs’ context but also recognized a gap between professional researchers’ and clinical workers’ knowledge and attitudes related to mental health.
The South African Society of Psychiatrists (SASOP) Treatment Guidelines for Psychiatric Disorders have been developed in order to address the local need for guidelines in our unique clinical setting.
Background/Objective
The most recent versions of the two main mental disorders classifications—the World Health Organization's ICD-11 and the American Psychiatric Association's DSM–5—differ substantially in their diagnostic categories related to transgender identity. ICD-11 gender incongruence (GI), in contrast to DSM-5 gender dysphoria (GD), is explicitly not a mental disorder; neither distress nor dysfunction is a required feature. The objective was compared ICD-11 and DSM-5 diagnostic requirements in terms of their sensitivity, specificity, discriminability and ability to predict the use of gender-affirming medical procedures.
Method
A total of 649 of transgender adults in six countries completed a retrospective structured interview.
Results
Using ROC analysis, sensitivity of the diagnostic requirements was equivalent for both systems, but ICD-11 showed greater specificity than DSM-5. Regression analyses indicated that history of hormones and/or surgery was predicted by variables that are an intrinsic aspect of GI/GD more than by distress and dysfunction. IRT analyses showed that the ICD-11 diagnostic formulation was more parsimonious and contained more information about caseness than the DSM-5 model.
Conclusions
This study supports the ICD-11 position that GI/GD is not a mental disorder; additional diagnostic requirements of distress and/or dysfunction in DSM-5 reduce the predictive power of the diagnostic model.
Literature indicates a high prevalence and burden of mental illness in youths word-wide, which may be even higher in low and middle-income countries, such as South Africa and Zambia. Additionally, there is a lack of knowledge regarding youth depression amongst many primary health care (PHC) practitioners. The principal goal of the mega project is to provide youth with better access to mental health services and appropriate care, by developing a mental health screening mobile application tool to be used in PHC settings in South Africa and Zambia.In this study, we will use a mixed methods multi-center study design. In phase one we will investigate the mental health literacy of PHC practitioners to identify areas in need of development. Based on the needs identified, we will develop and test a mobile health application to screen for common youth mental health problems in phase two. In phase three, we will implement and evaluate a tiered education and training program in the use of the m-health application. In the final phase, we will evaluate the acceptability and feasibility of the m-health application in PHC centres across South Africa and Zambia. Evidence suggests that PHC practitioners should routinely consider mental illness when assessing youth. However, common psychiatric disorders remain largely undetected and untreated in PHC settings. By identifying limitations in PHC knowledge with regard to youth mental health, we aspire to improve the depression care provided to youth in Southern Africa and Zambia by developing and implementing a locally relevant m-health application.
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