scholarly journals Research protocol: a realist synthesis of cross-border patient mobility from low-income and middle-income countries

BMJ Open ◽  
2014 ◽  
Vol 4 (11) ◽  
pp. e006514 ◽  
Author(s):  
Jo Durham ◽  
Sarah J Blondell
Keyword(s):  
Low Income ◽  
Realist Synthesis ◽  
Research Protocol ◽  
Patient Mobility ◽  
Middle Income ◽  
Middle Income Countries ◽  
Cross Border

scholarly journals Understanding the implementation (including women’s use) of maternity waiting homes in low-income and middle-income countries: a realist synthesis protocol

BMJ Open ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. e039531
Author(s):  
Daphne N McRae ◽  
Anayda Portela ◽  
Tamara Waldron ◽  
Nicole Bergen ◽  
Nazeem Muhajarine
Keyword(s):  
Low Income ◽  
Implementation Strategies ◽  
Realist Synthesis ◽  
Plain Language ◽  
Programme Theory ◽  
Middle Income ◽  
Middle Income Countries ◽  
Maternity Waiting Homes ◽  
Wide Range ◽  
Maternity Waiting Home

IntroductionMaternity waiting homes in low-income and middle-income countries provide accommodation near health facilities for pregnant women close to the time of birth to promote facility-based birth and birth with a skilled professional and to enable timely access to emergency obstetric services when needed. To date, no studies have provided a systematic, comprehensive synthesis explaining facilitators and barriers to successful maternity waiting home implementation and whether and how implementation strategies and recommendations vary by context. This synthesis will systematically consolidate the evidence, answering the question, ‘How, why, for whom, and in what context are maternity waiting homes successfully implemented in low-income and middle-income countries?’.Methods and analysisMethods include standard steps for realist synthesis: determining the scope of the review, searching for evidence, appraising and extracting data, synthesising and analysing the data and developing recommendations for dissemination. Steps are iterative, repeating until theoretical saturation is achieved. Searching will be conducted in 13 electronic databases with results managed in Eppi-Reviewer V.4. There will be no language, study-type or document-type restrictions. Items documented prior to 1990 will be excluded. To ensure our initial and revised programme theories accurately reflect the experiences and knowledge of key stakeholders, most notably the beneficiaries, interviews will be conducted with maternity waiting home users/nonusers, healthcare staff, policymakers and programme designers. All data will be analysed using context–mechanism–outcome configurations, refined and synthesised to produce a final programme theory.Ethics and disseminationEthics approval for the project will be obtained from the Mozambican National Bioethical Commission, Jimma University College of Health Sciences Institutional Review Board and the University of Saskatchewan Bioethical Research Ethics Board. To ensure results of the evaluation are available for uptake by a wide range of stakeholders, dissemination will include peer-reviewed journal publication, a plain-language brief, and conference presentations to stakeholders’ practice audiences.PROSPERO registration numberCRD42020173595.

scholarly journals Protocol for a realist synthesis of health systems responsiveness in low-income and middle-income countries

BMJ Open ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. e046992
Author(s):  
Tolib Mirzoev ◽  
Anna Cronin de Chavez ◽  
Ana Manzano ◽  
Irene Akua Agyepong ◽  
Mary Eyram Ashinyo ◽  
...  
Keyword(s):  
Health Systems ◽  
Low Income ◽  
Empirical Studies ◽  
Grey Literature ◽  
Realist Synthesis ◽  
Vulnerable Groups ◽  
Primary Data ◽  
London School ◽  
Middle Income ◽  
Middle Income Countries

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.

scholarly journals Tuberculosis and Non-Communicable Disease Multimorbidity: An Analysis of the World Health Survey in 48 Low- and Middle-Income Countries

2021 ◽  
Vol 18 (5) ◽  
pp. 2439
Author(s):  
Brendon Stubbs ◽  
Kamran Siddiqi ◽  
Helen Elsey ◽  
Najma Siddiqi ◽  
Ruimin Ma ◽  
...  
Keyword(s):  
Health Survey ◽  
Low Income ◽  
World Health ◽  
Low Income Countries ◽  
Multivariable Logistic Regression Analysis ◽  
World Health Survey ◽  
Middle Income ◽  
Middle Income Countries ◽  
The World ◽  
Low And Middle Income

Tuberculosis (TB) is a leading cause of mortality in low- and middle-income countries (LMICs). TB multimorbidity [TB and ≥1 non-communicable diseases (NCDs)] is common, but studies are sparse. Cross-sectional, community-based data including adults from 21 low-income countries and 27 middle-income countries were utilized from the World Health Survey. Associations between 9 NCDs and TB were assessed with multivariable logistic regression analysis. Years lived with disability (YLDs) were calculated using disability weights provided by the 2017 Global Burden of Disease Study. Eight out of 9 NCDs (all except visual impairment) were associated with TB (odds ratio (OR) ranging from 1.38–4.0). Prevalence of self-reported TB increased linearly with increasing numbers of NCDs. Compared to those with no NCDs, those who had 1, 2, 3, 4, and ≥5 NCDs had 2.61 (95% confidence interval (CI) = 2.14–3.22), 4.71 (95%CI = 3.67–6.11), 6.96 (95%CI = 4.95–9.87), 10.59 (95%CI = 7.10–15.80), and 19.89 (95%CI = 11.13–35.52) times higher odds for TB. Among those with TB, the most prevalent combinations of NCDs were angina and depression, followed by angina and arthritis. For people with TB, the YLDs were three times higher than in people without multimorbidity or TB, and a third of the YLDs were attributable to NCDs. Urgent research to understand, prevent and manage NCDs in people with TB in LMICs is needed.

scholarly journals Gestational weight gain in low-income and middle-income countries: a modelling analysis using nationally representative data

2020 ◽  
Vol 5 (11) ◽  
pp. e003423
Author(s):  
Dongqing Wang ◽  
Molin Wang ◽  
Anne Marie Darling ◽  
Nandita Perumal ◽  
Enju Liu ◽  
...  
Keyword(s):  
Weight Gain ◽  
North Africa ◽  
Low Income ◽  
Sub Saharan Africa ◽  
Middle Income ◽  
Middle Income Countries ◽  
Gestational Weight ◽  
Latin America And Caribbean ◽  
Nationally Representative ◽  
Sub Saharan

IntroductionGestational weight gain (GWG) has important implications for maternal and child health and is an ideal modifiable factor for preconceptional and antenatal care. However, the average levels of GWG across all low-income and middle-income countries of the world have not been characterised using nationally representative data.MethodsGWG estimates across time were computed using data from the Demographic and Health Surveys Program. A hierarchical model was developed to estimate the mean total GWG in the year 2015 for all countries to facilitate cross-country comparison. Year and country-level covariates were used as predictors, and variable selection was guided by the model fit. The final model included year (restricted cubic splines), geographical super-region (as defined by the Global Burden of Disease Study), mean adult female body mass index, gross domestic product per capita and total fertility rate. Uncertainty ranges (URs) were generated using non-parametric bootstrapping and a multiple imputation approach. Estimates were also computed for each super-region and region.ResultsLatin America and Caribbean (11.80 kg (95% UR: 6.18, 17.41)) and Central Europe, Eastern Europe and Central Asia (11.19 kg (95% UR: 6.16, 16.21)) were the super-regions with the highest GWG estimates in 2015. Sub-Saharan Africa (6.64 kg (95% UR: 3.39, 9.88)) and North Africa and Middle East (6.80 kg (95% UR: 3.17, 10.43)) were the super-regions with the lowest estimates in 2015. With the exception of Latin America and Caribbean, all super-regions were below the minimum GWG recommendation for normal-weight women, with Sub-Saharan Africa and North Africa and Middle East estimated to meet less than 60% of the minimum recommendation.ConclusionThe levels of GWG are inadequate in most low-income and middle-income countries and regions. Longitudinal monitoring systems and population-based interventions are crucial to combat inadequate GWG in low-income and middle-income countries.

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