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      Prevalence of probable mental, neurological and substance use conditions and case detection at primary healthcare facilities across three districts in Ghana: findings from a cross-sectional health facility survey

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          Abstract

          Background

          Few studies have examined the prevalence of mental, neurological and substance use (MNS) conditions, case detection and treatment in primary healthcare in rural settings in Africa. We assessed prevalence and case detection at primary healthcare facilities in low-resource rural settings in Ghana.

          Methods

          A cross-sectional survey was conducted at the health facility level in three demonstration districts situated in Bongo (Upper East Region), Asunafo North (Ahafo Region) and Anloga (Volta Region) in Ghana. The study participants were resident adult (> 17 years) out-patients seeking healthcare at primary care facilities in each of the three demonstration districts. Data were collected on five priority MNS conditions: depression, psychosis, suicidal behaviour, epilepsy and alcohol use disorders.

          Results

          Nine hundred and nine (909) people participated in the survey. The prevalence of probable depression was 15.6% (142/909), probable psychotic symptoms was 12% (109/909), probable suicidal behaviour was 11.8% (107/909), probable epilepsy was 13.1% (119/909) and probable alcohol use disorders was 7.8% (71/909). The proportion of missed detection for cases of depression, self-reported psychotic symptoms, epilepsy and alcohol use disorders (AUD) ranged from 94.4 to 99.2%, and was similar across study districts. Depression was associated with self-reported psychotic symptoms (RR: 1.68; 95% CI: 1.12–1.54). For self-reported psychotic symptoms, a reduced risk was noted for being married (RR: 0.62; 95% CI: 0.39–0.98) and having a tertiary level education (RR: 0.12; 95% CI: 0.02–0.84). Increased risk of suicidal behaviour was observed for those attending a health facility in Asunafo (RR: 2.31; 95% CI: 1.27–4.19) and Anloga districts (RR: 3.32; 95% CI: 1.93–5.71). Age group of 35 to 44 years (RR: 0.43; 95% CI: 0.20–0.90) was associated with reduced risk of epilepsy. Being female (RR: 0.19; 95% CI: 0.12–0.31) and having a tertiary education (RR: 0.27; 95% CI: 0.08–0.92) were associated with reduced risk of AUD.

          Conclusions

          Our study found a relatively high prevalence of probable MNS conditions, and very low detection and treatment rates in rural primary care settings in Ghana. There is a need to improve the capacity of primary care health workers to detect and manage MNS conditions.

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          Most cited references57

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          The PHQ-9: validity of a brief depression severity measure.

          While considerable attention has focused on improving the detection of depression, assessment of severity is also important in guiding treatment decisions. Therefore, we examined the validity of a brief, new measure of depression severity. The Patient Health Questionnaire (PHQ) is a self-administered version of the PRIME-MD diagnostic instrument for common mental disorders. The PHQ-9 is the depression module, which scores each of the 9 DSM-IV criteria as "0" (not at all) to "3" (nearly every day). The PHQ-9 was completed by 6,000 patients in 8 primary care clinics and 7 obstetrics-gynecology clinics. Construct validity was assessed using the 20-item Short-Form General Health Survey, self-reported sick days and clinic visits, and symptom-related difficulty. Criterion validity was assessed against an independent structured mental health professional (MHP) interview in a sample of 580 patients. As PHQ-9 depression severity increased, there was a substantial decrease in functional status on all 6 SF-20 subscales. Also, symptom-related difficulty, sick days, and health care utilization increased. Using the MHP reinterview as the criterion standard, a PHQ-9 score > or =10 had a sensitivity of 88% and a specificity of 88% for major depression. PHQ-9 scores of 5, 10, 15, and 20 represented mild, moderate, moderately severe, and severe depression, respectively. Results were similar in the primary care and obstetrics-gynecology samples. In addition to making criteria-based diagnoses of depressive disorders, the PHQ-9 is also a reliable and valid measure of depression severity. These characteristics plus its brevity make the PHQ-9 a useful clinical and research tool.
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            Development of the Alcohol Use Disorders Identification Test (AUDIT): WHO Collaborative Project on Early Detection of Persons with Harmful Alcohol Consumption--II.

            The Alcohol Use Disorders Identification Test (AUDIT) has been developed from a six-country WHO collaborative project as a screening instrument for hazardous and harmful alcohol consumption. It is a 10-item questionnaire which covers the domains of alcohol consumption, drinking behaviour, and alcohol-related problems. Questions were selected from a 150-item assessment schedule (which was administered to 1888 persons attending representative primary health care facilities) on the basis of their representativeness for these conceptual domains and their perceived usefulness for intervention. Responses to each question are scored from 0 to 4, giving a maximum possible score of 40. Among those diagnosed as having hazardous or harmful alcohol use, 92% had an AUDIT score of 8 or more, and 94% of those with non-hazardous consumption had a score of less than 8. AUDIT provides a simple method of early detection of hazardous and harmful alcohol use in primary health care settings and is the first instrument of its type to be derived on the basis of a cross-national study.
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              Poverty and common mental disorders in low and middle income countries: A systematic review.

              In spite of high levels of poverty in low and middle income countries (LMIC), and the high burden posed by common mental disorders (CMD), it is only in the last two decades that research has emerged that empirically addresses the relationship between poverty and CMD in these countries. We conducted a systematic review of the epidemiological literature in LMIC, with the aim of examining this relationship. Of 115 studies that were reviewed, most reported positive associations between a range of poverty indicators and CMD. In community-based studies, 73% and 79% of studies reported positive associations between a variety of poverty measures and CMD, 19% and 15% reported null associations and 8% and 6% reported negative associations, using bivariate and multivariate analyses respectively. However, closer examination of specific poverty dimensions revealed a complex picture, in which there was substantial variation between these dimensions. While variables such as education, food insecurity, housing, social class, socio-economic status and financial stress exhibit a relatively consistent and strong association with CMD, others such as income, employment and particularly consumption are more equivocal. There are several measurement and population factors that may explain variation in the strength of the relationship between poverty and CMD. By presenting a systematic review of the literature, this paper attempts to shift the debate from questions about whether poverty is associated with CMD in LMIC, to questions about which particular dimensions of poverty carry the strongest (or weakest) association. The relatively consistent association between CMD and a variety of poverty dimensions in LMIC serves to strengthen the case for the inclusion of mental health on the agenda of development agencies and in international targets such as the millenium development goals. Copyright 2010 Elsevier Ltd. All rights reserved.
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                Author and article information

                Contributors
                k.ae-ngibise@ghanasomubi.com
                l.sakyi@ghanasomubi.com
                l.adwan-kamara@ghanasomubi.com
                crick.lund@kcl.ac.uk
                bweobong@ug.edu.gh
                Journal
                BMC Psychiatry
                BMC Psychiatry
                BMC Psychiatry
                BioMed Central (London )
                1471-244X
                20 April 2023
                20 April 2023
                2023
                : 23
                : 280
                Affiliations
                [1 ]Ghana Somubi Dwumadie (Ghana Participation Programme), PMB 6 Asoyi Crescent, East Legon, Accra, Ghana
                [2 ]GRID grid.434994.7, ISNI 0000 0001 0582 2706, Kintampo Health Research Centre, Research and Development Division, , Ghana Health Service, Kintampo North Municipality, ; Bono East Region, Ghana
                [3 ]GRID grid.13097.3c, ISNI 0000 0001 2322 6764, Centre for Global Mental Health, Health Service and Population Research Department, Institute of Psychiatry, Psychology and Neuroscience, , King’s Global Health Institute, King’s College London, ; London, UK
                [4 ]GRID grid.7836.a, ISNI 0000 0004 1937 1151, Department of Psychiatry and Mental Health, , Alan J Flisher Centre for Public Mental Health, University of Cape Town, ; Cape Town, South Africa
                [5 ]GRID grid.8652.9, ISNI 0000 0004 1937 1485, Department of Social and Behavioural Sciences, College of Health Sciences, , University of Ghana, ; Accra, Ghana
                Article
                4775
                10.1186/s12888-023-04775-z
                10117267
                37081409
                a4df28c1-54ac-48fd-870e-a1da260d6740
                © The Author(s) 2023

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 12 October 2022
                : 12 April 2023
                Categories
                Research
                Custom metadata
                © The Author(s) 2023

                Clinical Psychology & Psychiatry
                mental health conditions,detection rates,prevalence,primary healthcare

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