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Measuring the resilience of health systems in low- and middle-income countries: a focus on community resilience.

ABSTRACT: The concept of community resilience has gained considerable attention in the global health discussions since the Ebola outbreak of West Africa in 2014-2015. However, there are no measurement models to quantify community resilience. Without measurement models, it is unclear how to test strategies for building community resilience or to describe their likely intended and unintended results and their impact on health outcomes. We propose a measurement model for community resilience with relevant constructs and indicators to measure these constructs. We conducted a scoping review, systematically searching, screening and selecting relevant articles from two bibliographic databases (PUBMED and Google Scholar) for literature using search terms such as "resilience", "community resilience" and "health systems resilience". We screened 500 papers, then completed a full text review of 112 identified as relevant based on their title and abstract. A total of 27 papers and reports were retained for analysis. We then aggregated and synthesised the various definitions of community resilience and the frameworks for understanding these definitions. We identified key constructs from these frameworks and organised these constructs into domains and sub-domains. We proposed indicators to capture aspects of these domains and sub-domains and operationalised these indicators as a measurement model for quantifying community resilience in health systems. We propose a model with 20 indicators to assess community resilience. These indicators tap into various constructs from different theoretical frameworks of community resilience and are useful for assessing the level of knowledge, financial resources, and human, social and physical capital that are needed (or lacking) to respond to any types of shock, including health shock at the community level. This is an initial attempt to describe a multilevel measurement model for quantifying community resilience. This model will help to guide the development and testing of strategies for strengthening community resilience and will require further work to assess its relevance, reliability and validity in different LMIC settings.

SUBMITTER: Bhandari S

PROVIDER: S-EPMC7368738 | biostudies-literature | 2020 Jul

REPOSITORIES: biostudies-literature

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Measuring the resilience of health systems in low- and middle-income countries: a focus on community resilience.

Bhandari Sudip S Alonge Olakunle O

Health research policy and systems 20200717 1

The concept of community resilience has gained considerable attention in the global health discussions since the Ebola outbreak of West Africa in 2014-2015. However, there are no measurement models to quantify community resilience. Without measurement models, it is unclear how to test strategies for building community resilience or to describe their likely intended and unintended results and their impact on health outcomes. We propose a measurement model for community resilience with relevant co ...[more]

PMID: 32680527

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Project description:IntroductionHealth systems responsiveness is a key objective of any health system, yet it is the least studied of all objectives particularly in low-income and middle-income countries. Research on health systems responsiveness highlights its multiple elements, for example, dignity and confidentiality. Little is known, however, about underlying theories of health systems responsiveness, and the mechanisms through which responsiveness works. This realist synthesis contributes to bridging these two knowledge gaps.Methods and analysisIn this realist synthesis, we will use a four-step process, comprising: mapping of theoretical bases, formulation of programme theories, theory refinement and testing of programme theories using literature and empirical data from Ghana and Vietnam. We will include theoretical and conceptual pieces, reviews, empirical studies and grey literature, alongside the primary data. We will explore responsiveness as entailing external and internal interactions within health systems. The search strategy will be purposive and iterative, with continuous screening and refinement of theories. Data extraction will be combined with quality appraisal, using appropriate tools. Each fragment of evidence will be appraised as it is being extracted, for its relevance to the emerging programme theories and methodological rigour. The extracted data pertaining to contexts, mechanisms and outcomes will be synthesised to identify patterns and contradictions. Results will be reported using narrative explanations, following established guidance on realist syntheses.Ethics and disseminationEthics approvals for the wider RESPONSE (Improving health systems responsiveness to neglected health needs of vulnerable groups in Ghana and Vietnam) study, of which this review is one part, were obtained from the ethics committees of the following institutions: London School of Hygiene and Tropical Medicine (ref: 22981), University of Leeds, School of Medicine (ref: MREC19-051), Ghana Health Service (ref: GHS-ERC 012/03/20) and Hanoi University of Public Health (ref: 020-149/DD-YTCC).We will disseminate results through academic papers, conference presentations and stakeholder workshops in Ghana and Vietnam.Prospero registration numberCRD42020200353. Full record: https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42020200353.

Project description:Many people residing in low-income and middle-income countries (LMICs) are regularly exposed to catastrophic healthcare expenditure. It is therefore pertinent that LMICs should finance their health systems in ways that ensure that their citizens can use needed healthcare services and are protected from potential impoverishment arising from having to pay for services. Ways of financing health systems include government funding, health insurance schemes and out-of-pocket payment. A health insurance scheme refers to pooling of prepaid funds in a way that allows for risks to be shared. The health insurance scheme particularly suitable for the rural poor and the informal sector in LMICs is community-based health insurance (CBHI), that is, insurance schemes operated by organisations other than governments or private for-profit companies. We plan to search for and summarise currently available evidence on factors associated with the uptake of CBHI, as we are not aware of previous systematic reviews that have looked at this important topic.This is a protocol for a systematic review of the literature. We will include both quantitative and qualitative studies in this review. Eligible quantitative studies include intervention and observational studies. Qualitative studies to be included are focus group discussions, direct observations, interviews, case studies and ethnography. We will search EMBASE, PubMed, Scopus, ERIC, PsycInfo, Africa-Wide Information, Academic Search Premier, Business Source Premier, WHOLIS, CINAHL and the Cochrane Library for eligible studies available by 31 October 2013, regardless of publication status or language of publication. We will also check reference lists of included studies and proceedings of relevant conferences and contact researchers for eligible studies. Two authors will independently screen the search output, select studies and extract data, resolving discrepancies by consensus and discussion. Qualitative data will be extracted using standardised data extraction tools adapted from the Critical Appraisal Skills Program (CASP) qualitative appraisal checklist and put together in a thematic analysis where applicable. We will statistically pool data from quantitative studies in a meta-analysis; but if included quantitative studies differ significantly in study settings, design and/or outcome measures, we will present the findings in a narrative synthesis. This protocol has been registered with PROSPERO (ID=CRD42013006364).Recommendations will be made to health policy makers, managers and researchers in LMICs to help inform them on ways to strengthen and increase the uptake of CBHI.

Project description:IntroductionGlobally, transgender and other gender diverse (trans) people face pervasive stigma, which contributes to health inequities across multiple health outcomes. Stigma is a fundamental cause of health inequities because it simultaneously limits access to resources, contributes to systemic vulnerability and generates chronic stress. Anti-trans stigma occurs across multiple socioecological levels, resulting in multiple possible definitions and measurements of trans stigma. Understanding how trans stigma has been measured in low-income and middle-income countries (LMICs) is critical to health promotion efforts for trans communities. Accordingly, this scoping review will identify and examine how anti-trans stigma has been measured in existing LMIC-specific research to inform best practices for measurement of anti-trans stigma that includes consideration of local context.Methods and analysisThis is the protocol for a scoping review of anti-trans stigma in LMICs. We will search (from January 2001 to December 2021) PubMed, WHO Global Medicus and EBSCO. Study selection will conform to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews Checklist. Original studies in English, Spanish, Arabic or Russian will be included. Reviewers will independently screen all citations, full-text articles and abstract data. Data analysis will involve quantitative and qualitative methods. A narrative summary of findings will be conducted.Ethics and disseminationAs a scoping review (no direct interaction with participants), this study is exempt from human subjects oversight. Understanding context-specific ways to measure anti-trans stigma is urgently needed to support trans health globally. The planned scoping review will help to address this gap. Results of the review will be disseminated in a peer-reviewed journal and likely in other media such as conferences, seminars and symposia. PROTOCOL REGISTRATION NUMBER: osf.io/qcs2v.

Project description:BackgroundThe last 3 years have witnessed global health challenges, ranging from the pandemics of COVID-19 and mpox (monkeypox) to the Ebola epidemic in Uganda. Public health surveillance is critical for preventing these outbreaks, yet surveillance systems in resource-constrained contexts struggle to provide timely disease reporting. Although community health workers (CHWs) support health systems in low-income and middle-income countries (LMICs), very little has been written about their role in supporting public health surveillance. This review identified the roles, impacts and challenges CHWs face in public health surveillance in 25 LMICs.MethodsWe conducted a scoping review guided by Arksey and O'Malley's framework. We exported 1,156 peer-reviewed records from Embase, Global Health and PubMed databases. After multiple screenings, 29 articles were included in the final review.ResultsCHWs significantly contribute to public health surveillance in LMICs including through contact tracing and patient visitation to control major infectious diseases such as HIV/AIDS, malaria, tuberculosis, Ebola, neglected tropical diseases and COVID-19. Their public health surveillance roles typically fall into four main categories including community engagement; data gathering; screening, testing and treating; and health education and promotion. The use of CHWs in public health surveillance in LMICs has been impactful and often involves incorporation of various technologies leading to improved epidemic control and disease reporting. Nonetheless, use of CHWs can come with four main challenges including lack of education and training, lack of financial and other resources, logistical and infrastructural challenges as well as community engagement challenges.ConclusionCHWs are important stakeholders in surveillance because they are closer to communities than other healthcare workers. Further integration and training of CHWs in public health surveillance would improve public health surveillance because CHWs can provide health data on 'hard-to-reach' populations. CHWs' work in public health surveillance would also be greatly enhanced by infrastructural investments.

Project description:OBJECTIVE:To systematically review and critically appraise the evidence for the effects of interventions to improve the performance of community health workers (CHWs) for community-based primary healthcare in low- and middle-income countries. DESIGN:Systematic review following Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. METHODS:19 electronic databases were searched with a highly sensitive prespecified strategy and the grey literature examined, completed July 2016. Randomised controlled trials evaluating interventions to improve CHW performance in low- and middle-income countries were included and appraised for risk of bias. Outcomes were biological and behavioural patient outcomes (primary), use of health services, quality of care provided by CHWs and CHW retention (secondary). RESULTS:Two reviewers screened 8082 records; 14 evaluations were included. Due to heterogeneity and lack of clear outcome data, no meta-analysis was conducted. Results were presented in a narrative summary. The review found one study showing no effect on the biological outcomes of interest, though these moderate quality data may not be indicative of all biological outcomes. It also found moderate quality evidence of the efficacy of performance improvement interventions for (1) improving behavioural outcomes for patients, (2) improving use of services by increasing the absolute number of patients who access services and, perhaps, better identifying those who would benefit from such services and (3) improving CHW quality of care in terms of upstream measures like completion of prescribed activities and downstream measures like adherence to treatment protocols. Nearly half of studies were compound interventions, making it difficult to isolate the effects of individual performance improvement intervention components, though four specific strategies pertaining to recruitment, supervision, incentivisation and equipment were identified. CONCLUSIONS:Variations in recruitment, supervision, incentivisation and equipment may improve CHW performance. Practitioners should, however, assess the relevance and feasibility of these strategies in their health setting prior to implementation. Component selection experiments on a greater range of interventions to improve performance ought to be conducted.

Dataset Information

Measuring the resilience of health systems in low- and middle-income countries: a focus on community resilience.

Publications

Measuring the resilience of health systems in low- and middle-income countries: a focus on community resilience.

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