scholarly journals Rural vs urban residence and experience of discrimination among people with severe mental illnesses in Ethiopia

2019 ◽  
Author(s):  
Sarah Forthal ◽  
Abebaw Fekadu ◽  
Girmay Medhin ◽  
Medhin Selamu ◽  
Graham Thornicroft ◽  
...  

Abstract Background Few studies have addressed mental illness-related discrimination in low-income countries, where the mental health treatment gap is highest. We aimed to evaluate the experience of discrimination among persons with severe mental illnesses (SMI) in Ethiopia, a low-income, rapidly urbanizing African country, and hypothesised that experienced discrimination would be higher among those living in a rural compared to an urban setting.Methods The study was a cross-sectional survey of a community-ascertained sample of people with SMI who underwent confirmatory diagnostic interview. Experienced discrimination was measured using the Discrimination and Stigma Scale (DISC-12). Zero-inflated negative binomial regression was used to estimate the effect of place of residence (rural vs. urban) on discrimination, adjusted for potential confounders.Results Of the 300 study participants, 63.3% had experienced discrimination in the previous year, most commonly being avoided or shunned because of mental illness (38.5%). Urban residents were significantly more likely to have experienced unfair treatment from friends (χ2(1)=4.80; p=0.028), the police (χ2(1) =11.97; p=0.001), in keeping a job (χ2(1)=5.43; p=0.020), and in safety (χ2(1)=5.00; p=0.025), and had a significantly higher DISC-12 score than those living in rural areas (adjusted risk ratio: 1.66; 95% CI: 1.18, 2.33).Conclusions Persons with SMI living in urban settings report more experience of discrimination than their rural counterparts, which may reflect a downside of wider social opportunities in urban settings. Initiatives to expand access to mental health care should consider how social exclusion can be overcome in different settings.

Author(s):  
Sarah Forthal ◽  
Abebaw Fekadu ◽  
Girmay Medhin ◽  
Medhin Selamu ◽  
Graham Thornicroft ◽  
...  

Abstract Background Few studies have addressed mental illness-related discrimination in low-income countries, where the mental health treatment gap is highest. We aimed to evaluate the experience of discrimination among persons with severe mental illnesses (SMI) in Ethiopia, a low-income, rapidly urbanizing African country, and hypothesised that experienced discrimination would be higher among those living in a rural compared to an urban setting. Methods The study was a cross-sectional survey of a community-ascertained sample of people with SMI who underwent confirmatory diagnostic interview. Experienced discrimination was measured using the Discrimination and Stigma Scale (DISC-12). Zero-inflated negative binomial regression was used to estimate the effect of place of residence (rural vs. urban) on discrimination, adjusted for potential confounders. Results Of the 300 study participants, 63.3% had experienced discrimination in the previous year, most commonly being avoided or shunned because of mental illness (38.5%). Urban residents were significantly more likely to have experienced unfair treatment from friends (χ2(1)=4.80; p=0.028), the police (χ2(1) =11.97; p=0.001), in keeping a job (χ2(1)=5.43; p=0.020), and in safety (χ2(1)=5.00; p=0.025), and had a significantly higher DISC-12 score than those living in rural areas (adjusted risk ratio: 1.66; 95% CI: 1.18, 2.33). Conclusions Persons with SMI living in urban settings report more experience of discrimination than their rural counterparts, which may reflect a downside of wider social opportunities in urban settings. Initiatives to expand access to mental health care should consider how social exclusion can be overcome in different settings.


2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Sarah Forthal ◽  
Abebaw Fekadu ◽  
Girmay Medhin ◽  
Medhin Selamu ◽  
Graham Thornicroft ◽  
...  

Abstract Background Few studies have addressed mental illness-related discrimination in low-income countries, where the mental health treatment gap is highest. We aimed to evaluate the experience of discrimination among persons with severe mental illnesses (SMI) in Ethiopia, a low-income, rapidly urbanizing African country, and hypothesised that experienced discrimination would be higher among those living in a rural compared to an urban setting. Methods The study was a cross-sectional survey of a community-ascertained sample of people with SMI who underwent confirmatory diagnostic interview. Experienced discrimination was measured using the Discrimination and Stigma Scale (DISC-12). Zero-inflated negative binomial regression was used to estimate the effect of place of residence (rural vs. urban) on discrimination, adjusted for potential confounders. Results Of the 300 study participants, 63.3% had experienced discrimination in the previous year, most commonly being avoided or shunned because of mental illness (38.5%). Urban residents were significantly more likely to have experienced unfair treatment from friends (χ2(1) = 4.80; p = 0.028), the police (χ2(1) =11.97; p = 0.001), in keeping a job (χ2(1) = 5.43; p = 0.020), and in safety (χ2(1) = 5.00; p = 0.025), and had a significantly higher DISC-12 score than those living in rural areas (adjusted risk ratio: 1.66; 95% CI: 1.18, 2.33). Conclusions Persons with SMI living in urban settings report more experience of discrimination than their rural counterparts, which may reflect a downside of wider social opportunities in urban settings. Initiatives to expand access to mental health care should consider how social exclusion can be overcome in different settings.


2008 ◽  
Vol 17 (1) ◽  
pp. 14-19 ◽  
Author(s):  
Graham Thornicroft

AbstractThis editorial provides an overview of how far access to mental health care is limited by perceptions of stigma and anticipated discrimination. Globally over 70% of young people and adults with mental illness receive no treatment from healthcare staff. The rates of non-treatment are far higher in low income countries. Evidence from some descriptive studies and epidemiological surveys suggest that potent factors increasing the likelihood of treatment avoidance, or long delays before presenting for care include: (i) lack of knowledge about the features and treatability of mental illnesses; (ii) ignorance about how to access assessment and treatment; (iii) prejudice against people who have mental illness, and (iv) expectations of discrimination against people who have a diagnosis of mental illness. The associations between low rates of help seeking, and stigma and discrimination are as yet poorly understood and require more careful characterisation and analysis, providing the platform for more effective action to ensure that a greater proportion of people with mental illness are effectively treated in future.


2013 ◽  
Vol 2013 ◽  
pp. 1-6 ◽  
Author(s):  
Vaios Peritogiannis ◽  
Athina Tatsioni ◽  
Nefeli Menti ◽  
Aikaterini Grammeniati ◽  
Vassiliki Fotopoulou ◽  
...  

Objectives. Treatment of psychotic disorders is impended by high rates of disengagement from mental health services and poor adherence to antipsychotic medication. This study examined the engagement rates of psychotic patients with a community mental health service during a 5-year period.Methods. The Mobile Mental Health Unit of Ioannina and Thesprotia (MMHU I-T) delivers services in remote, rural, mountainous areas using the resources of the primary care system. Clinical and demographic information for patients with a diagnosis of schizophrenia and related psychoses was obtained from the medical records of our unit.Results. A total of 74 psychotic patients initially engaged in treatment with our unit. In half of cases treatment was home-based. With the exclusion of patients who died or discharged, engagement rates were 67.2%. Statistical analysis was performed for 64 patients, and no differences were found between engaged and disengaged patients regarding clinical and demographic parameters. All engaged patients regularly refilled their antipsychotic prescriptions.Conclusion. Engagement rates in our study were comparable to previous research, involving urban settings and shorter follow-up duration. Community mental health teams may ensure treatment continuation for psychotic patients in deprived, remote areas. This is important for low-income countries, affected by economic crisis, such as Greece.


Author(s):  
Syed Masud Ahmed ◽  
Mohammad Didar Hossain

Mental health disorders are increasingly being recognized as an important public health problem in low-income countries of Asia and Africa. For people of low-income countries, poverty is all pervasive and affects physical, as well as mental, health in various ways. Common mental disorders (CMD), such as anxiety and depression, are quite common among these populations. Social determinants—such as poverty and exclusion; low level of education; violence against women, including intimate partner violence; unemployment; unhygienic living and work environment; and social capital—play a significant role in precipitating CMD at different stages of life. The association is not always straightforward as sometimes these determinants act in a vicious circle (e.g. poverty and mental illnesses), which, in turn, is exacerbated by other determinants such as low education and unemployment. To address this complex problem, tackling of these important social determinants is essential and should be prioritized.


2017 ◽  
Vol 41 (S1) ◽  
pp. S156-S157 ◽  
Author(s):  
R. Charara ◽  
A. Mokdad

The eastern Mediterranean region (EMR) is witnessing an increase in mental illness. With ongoing unrest, this is expected to rise. This is the first study to quantify the burden of mental disorders in the EMR. We used data from the global burden of disease study (GBD) 2013. DALYs (disability-adjusted life years) allow assessment of both premature mortality (years of life lost–YLLs) and nonfatal outcomes (years lived with disability–YLDs). DALYs are computed by adding YLLs and YLDs for each age-sex-country group. In 2013, mental disorders contributed to 5.6% of total disease burden in EMR (1894 DALYS/100,000 population): 2519 DALYS/100,000 (2590/100,000 males, 2426/100,000 females) in high-income countries, 1884 DALYS/100,000 (1618/100,000 males, 2157/100,000 females) in middle-income countries, 1607 DALYS/100,000 (1500/100,000 males, 1717/100,000 females) in low-income countries. Females had a greater proportion of burden due to mental disorders than did males of equivalent ages, except for those under 15 years. The highest proportion of DALYs occurred in the 25–49 age group. The burden of mental disorders in EMR increased from 1726 DALYs/100,000 in 1990 to 1912 DALYs/100,000 in 2013 (10.8% increase). Depressive disorders accounted for most DALYs, followed by anxiety disorders. Palestine had the largest burden of mental disorders. Nearly all EMR countries had a higher mental disorder burden compared to global level. Our findings call for EMR health ministries to increase provision of mental health services and to address stigma of mental illness. Our results showing the accelerating burden of mental health are alarming as the region is seeing an increased level of instability.


10.2196/11334 ◽  
2019 ◽  
Vol 6 (1) ◽  
pp. e11334 ◽  
Author(s):  
Jessica Lipschitz ◽  
Christopher J Miller ◽  
Timothy P Hogan ◽  
Katherine E Burdick ◽  
Rachel Lippin-Foster ◽  
...  

Background Emerging research suggests that mobile apps can be used to effectively treat common mental illnesses like depression and anxiety. Despite promising efficacy results and ease of access to these interventions, adoption of mobile health (mHealth; mobile device–delivered) interventions for mental illness has been limited. More insight into patients’ perspectives on mHealth interventions is required to create effective implementation strategies and to adapt existing interventions to facilitate higher rates of adoption. Objective The aim of this study was to examine, from the patient perspective, current use and factors that may impact the use of mHealth interventions for mental illness. Methods This was a cross-sectional survey study of veterans who had attended an appointment at a single Veterans Health Administration facility in early 2016 that was associated with one of the following mental health concerns: unipolar depression, any anxiety disorder, or posttraumatic stress disorder. We used the Veteran Affairs Corporate Data Warehouse to create subsets of eligible participants demographically stratified by gender (male or female) and minority status (white or nonwhite). From each subset, 100 participants were selected at random and mailed a paper survey with items addressing the demographics, overall health, mental health, technology ownership or use, interest in mobile app interventions for mental illness, reasons for use or nonuse, and interest in specific features of mobile apps for mental illness. Results Of the 400 potential participants, 149 (37.3%, 149/400) completed and returned a survey. Most participants (79.9%, 119/149) reported that they owned a smart device and that they use apps in general (71.1%, 106/149). Most participants (73.1%, 87/149) reported interest in using an app for mental illness, but only 10.7% (16/149) had done so. Paired samples t tests indicated that ratings of interest in using an app recommended by a clinician were significantly greater than general interest ratings and even greater when the recommending clinician was a specialty mental health provider. The most frequent concerns related to using an app for mental illness were lacking proof of efficacy (71.8%, 107/149), concerns about data privacy (59.1%, 88/149), and not knowing where to find such an app (51.0%, 76/149). Participants expressed interest in a number of app features with particularly high-interest ratings for context-sensitive apps (85.2%, 127/149), and apps focused on the following areas: increasing exercise (75.8%, 113/149), improving sleep (73.2%, 109/149), changing negative thinking (70.5%, 105/149), and increasing involvement in activities (67.1%, 100/149). Conclusions Most respondents had access to devices to use mobile apps for mental illness, already used apps for other purposes, and were interested in mobile apps for mental illness. Key factors that may improve adoption include provider endorsement, greater publicity of efficacious apps, and clear messaging about efficacy and privacy of information. Finally, multifaceted apps that address a range of concerns, from sleep to negative thought patterns, may be best received.


2019 ◽  
Vol 2019 ◽  
pp. 1-8 ◽  
Author(s):  
David Collins Agaba ◽  
Richard Migisha ◽  
Rosemary Namayanja ◽  
Godfrey Katamba ◽  
Henry Mark Lugobe ◽  
...  

Globally, the prevalence of metabolic syndrome (MetS) and its components which are the major cardiovascular disease (CVD) risk factors, is higher among patients with severe mental illness (SMI) compared to the general population. This is mainly due to the deleterious lifestyles characterized by physical inactivity, excessive alcohol consumption, smoking, and unhealthy diets common among patients with SMI as well as due to cardiometabolic effects of psychotropic medications. Despite these conditions being highly prevalent among patients with SMI, little attention is given to these conditions during routine reviews in the mental health clinics in most low-income countries including Uganda. The main objective of this study was to determine the prevalence and associated factors of MetS among patients with SMI at Mbarara Regional Referral Hospital (MRRH), a tertiary hospital in southwestern Uganda. Through a cross-sectional study at the mental health clinic of the hospital, we recruited 304 patients with SMI and evaluated them for MetS using the National Cholesterol Education Programme Adult Treatment Panel III (NCEP ATP III) criteria. We defined the prevalence of MetS as the proportion of patients meeting the NCEP ATP III criteria. We used logistic regression to evaluate associations between MetS and independent variables. We included a total of 302 (44.37% male, 55.63% female) patients with a diagnosis of SMI in the analysis. The prevalence of MetS was 23.51% (95% CI 18.84–28.71). At multivariable logistic regression, age >40 years and long duration of mental illness (>10 years) were significantly associated with MetS. The prevalence of MetS is high among patients with psychiatric disorders, and thus metabolic screening, especially among the high-risk groups, is critical.


2020 ◽  
Author(s):  
Galia Sharon Moran ◽  
Jasmine Kalha ◽  
Annabel Mueller-Stierlin ◽  
Reinhold Kilian ◽  
Silvia Krumm ◽  
...  

Abstract Background: Peer support is an established intervention involving a person recovering from mental illness to support others with mental illness.. Peers are an under-used resource in global mental health. Building upon comprehensive formative research, this study will rigorously evaluate the impact of peer support at multiple levels, including: service user outcomes (psychosocial and clinical); peer support worker outcomes (work role, empowerment); service outcomes (cost-effectiveness, return on investment); and implementation outcomes (adoption, sustainability, organisational change). Methods: UPSIDES-RCT is a pragmatic parallel-group multi-centre randomised controlled trial assessing the effectiveness of UPSIDES at four measurement points over one year (baseline, 4-, 8-, and 12-month follow-up), with embedded process evaluation and cost-effectiveness analysis. Research will take place in a range of high-, middle- and low-income countries (Germany, United Kingdom, Israel, India, Uganda, Tanzania). The primary outcome is social inclusion of service users with severe mental illness (N= 558; N = 93 per site) at 8-month follow-up, measured with the Social Inclusion Scale. Secondary outcomes include empowerment (Empowerment Scale), hope (HOPE scale), recovery (Stages of Recovery), and health and social functioning (Health of the Nations Outcome Scales). Mixed-methods process evaluation will investigate mediators and moderators of effect, and implementation experiences of four UPSIDES stakeholder groups (service users, peer support workers, mental health workers, policy makers). A cost-effectiveness analysis examining cost-utility and health budget impact will estimate the value for money of UPSIDES peer support. Discussion: The UPSIDES-RCT will explore the essential components necessary to create a peer support model in mental health care, while providing the evidence required to sustain and eventually scale-up the intervention in different cultural, organisational and resource settings. By actively involving and empowering service users, UPSIDES will move mental health systems toward a recovery orientation, emphasising user-centeredness, community participation, and the realisation of mental health as a human right.


2018 ◽  
Author(s):  
Jessica Lipschitz ◽  
Christopher J Miller ◽  
Timothy P Hogan ◽  
Katherine E Burdick ◽  
Rachel Lippin-Foster ◽  
...  

BACKGROUND Emerging research suggests that mobile apps can be used to effectively treat common mental illnesses like depression and anxiety. Despite promising efficacy results and ease of access to these interventions, adoption of mobile health (mHealth; mobile device–delivered) interventions for mental illness has been limited. More insight into patients’ perspectives on mHealth interventions is required to create effective implementation strategies and to adapt existing interventions to facilitate higher rates of adoption. OBJECTIVE The aim of this study was to examine, from the patient perspective, current use and factors that may impact the use of mHealth interventions for mental illness. METHODS This was a cross-sectional survey study of veterans who had attended an appointment at a single Veterans Health Administration facility in early 2016 that was associated with one of the following mental health concerns: unipolar depression, any anxiety disorder, or posttraumatic stress disorder. We used the Veteran Affairs Corporate Data Warehouse to create subsets of eligible participants demographically stratified by gender (male or female) and minority status (white or nonwhite). From each subset, 100 participants were selected at random and mailed a paper survey with items addressing the demographics, overall health, mental health, technology ownership or use, interest in mobile app interventions for mental illness, reasons for use or nonuse, and interest in specific features of mobile apps for mental illness. RESULTS Of the 400 potential participants, 149 (37.3%, 149/400) completed and returned a survey. Most participants (79.9%, 119/149) reported that they owned a smart device and that they use apps in general (71.1%, 106/149). Most participants (73.1%, 87/149) reported interest in using an app for mental illness, but only 10.7% (16/149) had done so. Paired samples t tests indicated that ratings of interest in using an app recommended by a clinician were significantly greater than general interest ratings and even greater when the recommending clinician was a specialty mental health provider. The most frequent concerns related to using an app for mental illness were lacking proof of efficacy (71.8%, 107/149), concerns about data privacy (59.1%, 88/149), and not knowing where to find such an app (51.0%, 76/149). Participants expressed interest in a number of app features with particularly high-interest ratings for context-sensitive apps (85.2%, 127/149), and apps focused on the following areas: increasing exercise (75.8%, 113/149), improving sleep (73.2%, 109/149), changing negative thinking (70.5%, 105/149), and increasing involvement in activities (67.1%, 100/149). CONCLUSIONS Most respondents had access to devices to use mobile apps for mental illness, already used apps for other purposes, and were interested in mobile apps for mental illness. Key factors that may improve adoption include provider endorsement, greater publicity of efficacious apps, and clear messaging about efficacy and privacy of information. Finally, multifaceted apps that address a range of concerns, from sleep to negative thought patterns, may be best received.


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