Browsing by Author "Shidhaye, Rahul"

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    Challenges and opportunities for implementing integrated mental health care: a district level situation analysis from five low-and middle-income countries
    (Public Library of Science, 2014) Hanlon, Charlotte; Luitel, Nagendra P; Kathree, Tasneem; Murhar, Vaibhav; Shrivasta, Sanjay; Medhin, Girmay; Ssebunnya, Joshua; Fekadu, Abebaw; Shidhaye, Rahul; Petersen, Inge
    BACKGROUND: Little is known about how to tailor implementation of mental health services in low- and middle-income countries (LMICs) to the diverse settings encountered within and between countries. In this paper we compare the baseline context, challenges and opportunities in districts in five LMICs (Ethiopia, India, Nepal, South Africa and Uganda) participating in the PRogramme for Improving Mental health carE (PRIME). The purpose was to inform development and implementation of a comprehensive district plan to integrate mental health into primary care. METHODS: A situation analysis tool was developed for the study, drawing on existing tools and expert consensus. Cross-sectional information obtained was largely in the public domain in all five districts. RESULTS: The PRIME study districts face substantial contextual and health system challenges many of which are common across sites. Reliable information on existing treatment coverage for mental disorders was unavailable. Particularly in the low-income countries, many health service organisational requirements for mental health care were absent, including specialist mental health professionals to support the service and reliable supplies of medication. Across all sites, community mental health literacy was low and there were no models of multi-sectoral working or collaborations with traditional or religious healers. Nonetheless health system opportunities were apparent. In each district there was potential to apply existing models of care for tuberculosis and HIV or non-communicable disorders, which have established mechanisms for detection of drop-out from care, outreach and adherence support. The extensive networks of community-based health workers and volunteers in most districts provide further opportunities to expand mental health care. CONCLUSIONS: The low level of baseline health system preparedness across sites underlines that interventions at the levels of health care organisation, health facility and community will all be essential for sustainable delivery of quality mental health care integrated into primary care.
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    Characteristics of perinatal depression in rural central, India: a cross-sectional study
    (BioMed Central, 2018-11-12) Rathod, Sujit D; Honikman, Simone; Hanlon, Charlotte; Shidhaye, Rahul
    Background Perinatal depression is associated with negative effects on child behavioural, cognitive and emotional development, birth outcomes, and physical growth. In India, increased priority accorded to mental health programs mean it is now possible to reduce the population-level burden of perinatal depression. In this secondary analysis of two studies, we aimed to describe the epidemiological features of depression among community- and facility-based samples of perinatal women from rural central India, and to describe the help-seeking behaviours from those women who screened positive for depression. Methods The Community Study was a multi-round population-based cross-sectional survey (n = 6087). The Facility Study was a multi-round facility-based cross-sectional survey (n = 1577). Both studies were conducted in Sehore District, Madhya Pradesh between 2013 and 2017. Field workers conducted structured interviews with perinatal women. The questionnaire had sections relating to sociodemographic characteristics, depression screening using the Patient’s Health Questionnaire (PHQ9), treatment seeking for depression-related symptoms, and disability. Using data pooled from both studies, we tested each characteristic for association with the total screening score and with screening positive for depression. Results We identified 224 perinatal women from the Community Study and 130 perinatal women from the Facility Study, of whom 8.8% and 18.5% screened positive for depression, respectively. For the continuous PHQ9 score, there was evidence of a “U” shaped association with age, and positive associations with pregnancy, disability score, suicidality and being a health facility attendee. For the binary PHQ9 score, there was evidence of positive associations with pregnancy, disability score, suicidality and being a health facility attendee. Conclusions This study highlights where the largest population-level variations in perinatal depression symptoms are present in this Indian sample, for which mental health service provision should be made a priority. Epidemiological evidence generated by this study, as well as new evidence on peer-delivered interventions for perinatal depression, must be utilized by policy-makers to prioritize mental health services for mothers along with maternal and child health services.
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    Correction to: Impact of district mental health care plans on symptom severity and functioning of patients with priority mental health conditions: the Programme for Improving Mental Health Care (PRIME) cohort protocol
    (2020-09-29) Baron, Emily C; Rathod, Sujit D; Hanlon, Charlotte; Prince, Martin; Fedaku, Abebaw; Kigozi, Fred; Jordans, Mark; Luitel, Nagendra P; Medhin, Girmay; Murhar, Vaibhav; Nakku, Juliet; Patel, Vikram; Petersen, Inge; Selohilwe, One; Shidhaye, Rahul; Ssebunnya, Joshua; Tomlinson, Mark; Lund, Crick; De Silva, Mary
    An amendment to this paper has been published and can be accessed via the original article.
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    Health systems context(s) for integrating mental health into primary health care in six Emerald countries: a situation analysis
    (BioMed Central, 2017-01-05) Mugisha, James; Abdulmalik, Jibril; Hanlon, Charlotte; Petersen, Inge; Lund, Crick; Upadhaya, Nawaraj; Ahuja, Shalini; Shidhaye, Rahul; Mntambo, Ntokozo; Alem, Atalay; Gureje, Oye; Kigozi, Fred
    Background: Mental, neurological and substance use disorders contribute to a significant proportion of the world’s disease burden, including in low and middle income countries (LMICs). In this study, we focused on the health systems required to support integration of mental health into primary health care (PHC) in Ethiopia, India, Nepal, Nigeria, South Africa and Uganda. Methods: A checklist guided by the World Health Organization Assessment Instrument for Mental Health Systems (WHO-AIMS) was developed and was used for data collection in each of the six countries participating in the Emerging mental health systems in low and middle-income countries (Emerald) research consortium. The documents reviewed were from the following domains: mental health legislation, health policies/plans and relevant country health programs. Data were analyzed using thematic content analysis. Results: Three of the study countries (Ethiopia, Nepal, Nigeria, and Uganda) were working towards developing mental health legislation. South Africa and India were ahead of other countries, having enacted recent Mental Health Care Act in 2004 and 2016, respectively. Among all the 6 study countries, only Nepal, Nigeria and South Africa had a standalone mental health policy. However, other countries had related health policies where mental health was mentioned. The lack of fully fledged policies is likely to limit opportunities for resource mobilization for the mental health sector and efforts to integrate mental health into PHC. Most countries were found to be allocating inadequate budgets from the health budget for mental health, with South Africa (5%) and Nepal (0.17%) were the countries with the highest and lowest proportions of health budgets spent on mental health, respectively. Other vital resources that support integration such as human resources and health facilities for mental health services were found to be in adequate in all the study countries. Monitoring and evaluation systems to support the integration of mental health into PHC in all the study countries were also inadequate. Conclusion: Integration of mental health into PHC will require addressing the resource limitations that have been identified in this study. There is a need for up to date mental health legislation and policies to engender commitment in allocating resources to mental health services.
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    Impact of district mental health care plans on symptom severity and functioning of patients with priority mental health conditions: the Programme for Improving Mental Health Care (PRIME) cohort protocol
    (BioMed Central, 2018-03-06) Baron, Emily C; Rathod, Sujit D; Hanlon, Charlotte; Prince, Martin; Fedaku, Abebaw; Kigozi, Fred; Jordans, Mark; Luitel, Nagendra P; Medhin, Girmay; Murhar, Vaibhav; Nakku, Juliet; Patel, Vikram; Petersen, Inge; Selohilwe, One; Shidhaye, Rahul; Ssebunnya, Joshua; Tomlinson, Mark; Lund, Crick; De Silva, Mary
    Background The Programme for Improving Mental Health Care (PRIME) sought to implement mental health care plans (MHCP) for four priority mental disorders (depression, alcohol use disorder, psychosis and epilepsy) into routine primary care in five low- and middle-income country districts. The impact of the MHCPs on disability was evaluated through establishment of priority disorder treatment cohorts. This paper describes the methodology of these PRIME cohorts. Methods One cohort for each disorder was recruited across some or all five districts: Sodo (Ethiopia), Sehore (India), Chitwan (Nepal), Dr. Kenneth Kaunda (South Africa) and Kamuli (Uganda), comprising 17 treatment cohorts in total (N = 2182). Participants were adults residing in the districts who were eligible to receive mental health treatment according to primary health care staff, trained by PRIME facilitators as per the district MHCP. Patients who screened positive for depression or AUD and who were not given a diagnosis by their clinicians (N = 709) were also recruited into comparison cohorts in Ethiopia, India, Nepal and South Africa. Caregivers of patients with epilepsy or psychosis were also recruited (N = 953), together with or on behalf of the person with a mental disorder, depending on the district. The target sample size was 200 (depression and AUD), or 150 (psychosis and epilepsy) patients initiating treatment in each recruiting district. Data collection activities were conducted by PRIME research teams. Participants completed follow-up assessments after 3 months (AUD and depression) or 6 months (psychosis and epilepsy), and after 12 months. Primary outcomes were impaired functioning, using the 12-item World Health Organization Disability Assessment Schedule 2.0 (WHODAS), and symptom severity, assessed using the Patient Health Questionnaire (depression), the Alcohol Use Disorder Identification Test (AUD), and number of seizures (epilepsy). Discussion Cohort recruitment was a function of the clinical detection rate by primary health care staff, and did not meet all planned targets. The cross-country methodology reflected the pragmatic nature of the PRIME cohorts: while the heterogeneity in methods of recruitment was a consequence of differences in health systems and MHCPs, the use of the WHODAS as primary outcome measure will allow for comparison of functioning recovery across sites and disorders.
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    Information systems for mental health in six low and middle income countries: cross country situation analysis
    (BioMed Central, 2016-09-26) Upadhaya, Nawaraj; Jordans, Mark J D; Abdulmalik, Jibril; Ahuja, Shalini; Alem, Atalay; Hanlon, Charlotte; Kigozi, Fred; Kizza, Dorothy; Lund, Crick; Semrau, Maya; Shidhaye, Rahul; Thornicroft, Graham; Komproe, Ivan H; Gureje, Oye
    Background: Research on information systems for mental health in low and middle income countries (LMICs) is scarce. As a result, there is a lack of reliable information on mental health service needs, treatment coverage and the quality of services provided. Methods: With the aim of informing the development and implementation of a mental health information subsystem that includes reliable and measurable indicators on mental health within the Health Management Information Systems (HMIS), a cross-country situation analysis of HMIS was conducted in six LMICs (Ethiopia, India, Nepal, Nigeria, South Africa and Uganda), participating in the ‘Emerging mental health systems in low and middle income countries’ (Emerald) research programme. A situation analysis tool was developed to obtain and chart information from documents in the public domain. In circumstances when information was inadequate, key government officials were contacted to verify the data collected. In this paper we compare the baseline policy context, human resources situation as well as the processes and mechanisms of collecting, verifying, reporting and disseminating mental health related HMIS data. Results: The findings suggest that countries face substantial policy, human resource and health governance challenges for mental health HMIS, many of which are common across sites. In particular, the specific policies and plans for the governance and implementation of mental health data collection, reporting and dissemination are absent. Across sites there is inadequate infrastructure, few HMIS experts, and inadequate technical support and supervision to junior staff, particularly in the area of mental health. Nonetheless there are also strengths in existing HMIS where a few mental health morbidity, mortality, and system level indicators are collected and reported. Conclusions: Our study indicates the need for greater technical and resources input to strengthen routine HMIS and develop standardized HMIS indicators for mental health, focusing in particular on indicators of coverage and quality to facilitate the implementation of the WHO mental health action plan 2013–2020.
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    PRIME: a programme to reduce the treatment gap for mental disorders in five low-and middle-income countries
    (Public Library of Science, 2012) Lund, Crick; Tomlinson, Mark; De Silva, Mary; Fekadu, Abebaw; Shidhaye, Rahul; Jordans, Mark; Petersen, Inge; Bhana, Arvin; Kigozi, Fred; Prince, Martin
    Crick Lund and colleagues describe their plans for the PRogramme for Improving Mental health carE (PRIME), which aims to generate evidence on implementing and scaling up integrated packages of care for priority mental disorders in primary and maternal health care contexts in Ethiopia, India, Nepal, South Africa, and Uganda.
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    Strengthening mental health systems in low- and middle-income countries: the Emerald programme
    (2015-04-10) Semrau, Maya; Evans-Lacko, Sara; Alem, Atalay; Ayuso-Mateos, Jose L; Chisholm, Dan; Gureje, Oye; Hanlon, Charlotte; Jordans, Mark; Kigozi, Fred; Lempp, Heidi; Lund, Crick; Petersen, Inge; Shidhaye, Rahul; Thornicroft, Graham
    Abstract There is a large treatment gap for mental health care in low- and middle-income countries (LMICs), with the majority of people with mental, neurological, and substance use (MNS) disorders receiving no or inadequate care. Health system factors are known to play a crucial role in determining the coverage and effectiveness of health service interventions, but the study of mental health systems in LMICs has been neglected. The ‘Emerging mental health systems in LMICs’ (Emerald) programme aims to improve outcomes of people with MNS disorders in six LMICs (Ethiopia, India, Nepal, Nigeria, South Africa, and Uganda) by generating evidence and capacity to enhance health system performance in delivering mental health care. A mixed-methods approach is being applied to generate evidence on: adequate, fair, and sustainable resourcing for mental health (health system inputs); integrated provision of mental health services (health system processes); and improved coverage and goal attainment in mental health (health system outputs). Emerald has a strong focus on capacity-building of researchers, policymakers, and planners, and on increasing service user and caregiver involvement to support mental health systems strengthening. Emerald also addresses stigma and discrimination as one of the key barriers for access to and successful delivery of mental health services.
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    Treatment Contact Coverage for Probable Depressive and Probable Alcohol Use Disorders in Four Low- and Middle-Income Country Districts: The PRIME Cross-Sectional Community Surveys
    (Public Library of Science, 2016) Rathod, Sujit D; De Silva, Mary J; Ssebunnya, Joshua; Breuer, Erica; Murhar, Vaibhav; Luitel, Nagendra P; Medhin, Girmay; Kigozi, Fred; Shidhaye, Rahul; Fekadu, Abebaw; Jordans, Mark; Patel, Vikram; Tomlinson, Mark; Lund, Crick
    Context A robust evidence base is now emerging that indicates that treatment for depression and alcohol use disorders (AUD) delivered in low and middle-income countries (LMIC) can be effective. However, the coverage of services for these conditions in most LMIC settings remains unknown. Objective To describe the methods of a repeat cross-sectional survey to determine changes in treatment contact coverage for probable depression and for probable AUD in four LMIC districts, and to present the baseline findings regarding treatment contact coverage. METHODS: Population-based cross-sectional surveys with structured questionnaires, which included validated screening tools to identify probable cases. We defined contact coverage as being the proportion of cases who sought professional help in the past 12 months. Setting Sodo District, Ethiopia; Sehore District, India; Chitwan District, Nepal; and Kamuli District, Uganda Participants 8036 adults residing in these districts between May 2013 and May 2014 Main Outcome Measures Treatment contact coverage was defined as having sought care from a specialist, generalist, or other health care provider for symptoms related to depression or AUD. RESULTS: The proportion of adults who screened positive for depression over the past 12 months ranged from 11.2% in Nepal to 29.7% in India and treatment contact coverage over the past 12 months ranged between 8.1% in Nepal to 23.5% in India. In Ethiopia, lifetime contact coverage for probable depression was 23.7%. The proportion of adults who screened positive for AUD over the past 12 months ranged from 1.7% in Uganda to 13.9% in Ethiopia and treatment contact coverage over the past 12 months ranged from 2.8% in India to 5.1% in Nepal. In Ethiopia, lifetime contact coverage for probable AUD was 13.1%. CONCLUSIONS: Our findings are consistent with and contribute to the limited evidence base which indicates low treatment contact coverage for depression and for AUD in LMIC. The planned follow up surveys will be used to estimate the change in contact coverage coinciding with the implementation of district-level mental health care plans.