Dataset Information

Applications of the epidemiological modelling outputs for targeted mental health planning in conflict-affected populations: the Syria case-study.

ABSTRACT:

Background

Epidemiological models are frequently utilised to ascertain disease prevalence in a population; however, these estimates can have wider practical applications for informing targeted scale-up and optimisation of mental health services. We explore potential applications for a conflict-affected population, Syria.

Methods

We use prevalence estimates of major depression and post-traumatic stress disorder (PTSD) in conflict-affected populations as inputs for subsequent estimations. We use Global Burden of Disease (GBD) methodology to estimate years lived with a disability (YLDs) for depression and PTSD in Syrian populations. Human resource (HR) requirements to scale-up recommended packages of care for PTSD and depression in Syria over a 15-year period were modelled using the World Health Organisation mhGAP costing tool. Associated avertable burden was estimated using health benefit analyses.

Results

The total number of cases of PTSD in Syria was estimated at approximately 2.2 million, and approximately 1.1 million for depression. An age-standardised major depression rate of 13.4 (95% UI 9.8-17.5) YLDs per 1000 Syrian population is estimated compared with the GBD 2010 global age-standardised YLD rate of 9.2 (95% UI 7.0-11.8). HR requirements to support a linear scale-up of services in Syria using the mhGAP costing tool demonstrates a steady increase from 0.3 FTE in at baseline to 7.6 FTE per 100 000 population after scale-up. Linear scale-up over 15 years could see 7-9% of disease burden being averted.

Conclusion

Epidemiological estimates of mental disorders are key inputs into determining disease burden and guiding optimal mental health service delivery and can be used in target populations such as conflict-affected populations.

SUBMITTER: Charlson FJ

PROVIDER: S-EPMC5314753 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature

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Publications

Applications of the epidemiological modelling outputs for targeted mental health planning in conflict-affected populations: the Syria case-study.

Charlson F J FJ Lee Y Y YY Diminic S S Whiteford H H

Global mental health (Cambridge, England) 20160307

<h4>Background</h4>Epidemiological models are frequently utilised to ascertain disease prevalence in a population; however, these estimates can have wider practical applications for informing targeted scale-up and optimisation of mental health services. We explore potential applications for a conflict-affected population, Syria.<h4>Methods</h4>We use prevalence estimates of major depression and post-traumatic stress disorder (PTSD) in conflict-affected populations as inputs for subsequent estima ...[more]

PMID: 28596877

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Project description:BACKGROUND:The volume of health-related publications on Syria has increased considerably over the course of the conflict compared with the pre-war period. This increase is largely attributed to commentaries, news reports and editorials rather than research publications. This paper seeks to characterise the conflict-related population and humanitarian health and health systems research focused inside Syria and published over the course of the Syrian conflict. METHODS:As part of a broader scoping review covering English, Arabic and French literature on health and Syria published from 01 January 2011 to 31 December 2019 and indexed in seven citation databases (PubMed, Medline (OVID), CINAHL Complete, Global Health, EMBASE, Web of Science, Scopus), we analyzed conflict-related research papers focused on health issues inside Syria and on Syrians or residents of Syria. We classified research articles based on the major thematic areas studied. We abstracted bibliometric information, study characteristics, research focus, funding statements and key limitations and challenges of conducting research as described by the study authors. To gain additional insights, we examined, separately, non-research publications reporting field and operational activities as well as personal reflections and narrative accounts of first-hand experiences inside Syria. RESULTS:Of 2073 papers identified in the scoping review, 710 (34%) exclusively focus on health issues of Syrians or residents inside Syria, of which 350 (49%) are conflict-related, including 89 (25%) research papers. Annual volume of research increased over time, from one publication in 2013 to 26 publications in 2018 and 29 in 2019. Damascus was the most frequently studied governorate (n = 33), followed by Aleppo (n = 25). Papers used a wide range of research methodologies, predominantly quantitative (n = 68). The country of institutional affiliation(s) of first and last authors are predominantly Syria (n = 30, 21 respectively), the United States (n = 25, 19 respectively) or the United Kingdom (n = 12, 10 respectively). The majority of authors had academic institutional affiliations. The most frequently examined themes were health status, the health system and humanitarian assistance, response or needs (n = 38, 34, 26 respectively). Authors described a range of contextual, methodological and administrative challenges in conducting research on health inside Syria. Thirty-one publications presented field and operational activities and eight publications were reflections or first-hand personal accounts of experiences inside Syria. CONCLUSIONS:Despite a growing volume of research publications examining population and humanitarian health and health systems issues inside conflict-ravaged Syria, there are considerable geographic and thematic gaps, including limited research on several key pillars of the health system such as governance, financing and medical products; issues such as injury epidemiology and non-communicable disease burden; the situation in the north-east and south of Syria; and besieged areas and populations. Recognising the myriad of complexities of researching active conflict settings, it is essential that research in/on Syria continues, in order to build the evidence base, understand critical health issues, identify knowledge gaps and inform the research agenda to address the needs of the people of Syria following a decade of conflict.

Project description:BackgroundThe COVID-19 pandemic has necessitated rapid development of preparedness and response plans to quell transmission and prevent illness across the world. Increasingly, there is an appreciation of the need to consider equity issues in the development and implementation of these plans, not least with respect to gender, given the demonstrated differences in the impacts both of the disease and of control measures on men, women, and non-binary individuals. Humanitarian crises, and particularly those resulting from conflict or violence, exacerbate pre-existing gender inequality and discrimination. To this end, there is a particularly urgent need to assess the extent to which COVID-19 response plans, as developed for conflict-affected states and forcibly displaced populations, are gender responsive.MethodsUsing a multi-step selection process, we identified and analyzed 30 plans from states affected by conflict and those hosting forcibly displaced refugees and utilized an adapted version of the World Health Organization's Gender Responsive Assessment Scale (WHO-GRAS) to determine whether existing COVID-19 response plans were gender-negative, gender-blind, gender-sensitive, or gender-transformative.ResultsWe find that although few plans were gender-blind and none were gender-negative, no plans were gender-transformative. Most gender-sensitive plans only discuss issues specifically related to women (such as gender-based violence and reproductive health) rather than mainstream gender considerations throughout all sectors of policy planning.ConclusionsDespite overwhelming evidence about the importance of intentionally embedding gender considerations into the COVID-19 planning and response, none of the plans reviewed in this study were classified as 'gender transformative.' We use these results to make specific recommendations for how infectious disease control efforts, for COVID-19 and beyond, can better integrate gender considerations in humanitarian settings, and particularly those affected by violence or conflict.

Project description:BackgroundDespite the longstanding psychosocial impact of the interactable conflict in Somalia for the last 30 years, there is lack of epidemiological studies of mental health conditions, especially at the population level.ObjectivesThe aim of this study is to fill the epidemiological gap and provide population based data on mental health conditions in the South-Central region of Somalia. The specific objectives were: (1) To determine the epidemiological patterns of mental disorders in three sites; Baidoa, Dolow and Kismayo, (2) Understand the socio-demographic characteristics associated with mental health conditions in the study sites, and (3) To assess the correlates between psychological trauma and the mental wellbeing of the population.MethodsThis was a cross-sectional study of 713 respondents recruited from the three sites namely Dolow, Baidoa and Kismayo. Data on sociodemographic characteristics and mental disorders were collected using the MINI and sociodemographic questionnaire. Basic descriptive statistics were used to summarize sociodemographic characteristics. Univariable and multivariable logistic regressions were used to examine factors associated with common mental disorders. Statistical significance was considered at a value of p <0.05.ResultsParticipants' mean age was 32.6 (±10.7) years. More than half (58.5%) of the respondents were male. The overall prevalence of common mental disorders was 557 (78.1%) with panic disorder (39.3%), generalized anxiety disorders (34.9%), major depressive episode current (32.1) and PTSD (29.9%). According to the multivariable logistic regression analysis, being male AOR = 1.74 (95%CI = 1.25, 2.42), having a family size of more than 10 members AOR =1.37 (95% CI = 1.00, 1.89), being unemployed AOR = 1.90 (95%CI = 1.18, 3.06), experienced starvation AOR =3.46 (95%CI = 2.23, 5.37), khat use AOR = 5.87 (955 CI, 1.75-19.65), were identified as predicting factors for the common mental disorders among the study participants.ConclusionThere is a high prevalence of mental disorders with anxiety disorders being the commonest. Findings reflect earlier studies that showed higher rates in conflict and post-conflict settings. It also aligns with past studies in Somalia. As such, there is an urgent need to integrate mental health and psychosocial support within the primary healthcare and other service sectors such as education considering the vast majority of the population are young.

Project description:UnlabelledBackgroundOptimal adherence to highly active antiretroviral therapy (HAART) is required to promote viral suppression and to prevent disease progression and mortality. Forcibly displaced and conflict-affected populations may face challenges succeeding on HAART. We performed a systematic review of the literature on adherence to HAART and treatment outcomes in these groups, including refugees and internally-displaced persons (IDPs), assessed the quality of the evidence and suggest a future research program.MethodsMedline, Embase, and Global Health databases for 1995-2011 were searched using the Ovid platform. A backward citation review of subsequent work that had cited the Ovid results was performed using the Web of Science database. ReliefWeb and Médecins Sans Frontières (MSF) websites were searched for additional grey literature.Results and conclusionWe screened 297 records and identified 17 reports covering 15 quantitative and two qualitative studies from 13 countries. Three-quarters (11/15) of the quantitative studies were retrospective studies based on chart review; five studies included <100 clients. Adherence or treatment outcomes were reported in resettled refugees, conflict-affected persons, internally-displaced persons (IDPs), and combinations of refugees, IDPs and other foreign-born persons. The reviewed reports showed promise for conflict-affected and forcibly-displaced populations; the range of optimal adherence prevalence reported was 87-99.5%. Treatment outcomes, measured using virological, immunological and mortality estimates, were good in relation to non-affected groups. Given the diversity of settings where forcibly-displaced and conflict-affected persons access ART, further studies on adherence and treatment outcomes are needed to support scale-up and provide evidence-based justifications for inclusion of these vulnerable groups in national treatment plans. Future studies and program evaluations should focus on systematic monitoring of adherence and treatment interruptions by using facility-based pharmacy records, understanding threats to optimal adherence and timely linkage to care throughout the displacement cycle, and testing interventions designed to support adherence and treatment outcomes in these settings.

Dataset Information

Applications of the epidemiological modelling outputs for targeted mental health planning in conflict-affected populations: the Syria case-study.

Background

Methods

Results

Conclusion

Publications

Applications of the epidemiological modelling outputs for targeted mental health planning in conflict-affected populations: the Syria case-study.

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