Community engagement processes in low- and middle-income countries health research settings: a systematic review of the literature.

BACKGROUND: Community Engagement is an important ethical imperative in research. Although substantial research emphasizes its real value and strategic importance, much of the available literature focuses primarily on the success of community participation, with little emphasis given to specific community engagement processes, mechanisms and strategies in relation to intended outcomes in research environments. The systematic literature review's objective was to explore the nature of community engagement processes, strategies and approaches in health research settings in low- and middle-income countries. METHODS: The systematic literature review design was informed by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. We searched for peer-reviewed, English-language literature published between January 2011 and December 2021 through three databases on the internet (PubMed, Web of Science and Google Scholar). The terms "community engagement," "community involvement," "participation," "research settings," and "low- and middle-income countries" were merged in the search. RESULTS: The majority of publications [8/10] were led by authors from low- and middle-income countries, with many of them, [9/10] failing to continuously include important aspects of study quality. Even though consultation and information sessions were less participatory, articles were most likely to describe community engagement in these types of events. The articles covered a wide range of health issues, but the majority were concerned with infectious diseases such as malaria, human immunodeficiency virus, and tuberculosis, followed by studies on the environment and broader health factors. Articles were largely under-theorized. CONCLUSIONS: Despite the lack of theoretical underpinnings for various community engagement processes, strategies and approaches, community engagement in research settings was variable. Future studies should go deeper into community engagement theory, acknowledge the power dynamics underpin community engagement, and be more practical about the extent to which communities may participate.

The Impact of Targeted Treatment and Mass Drug Administration Delivery Strategies on the Prevalence and Intensity of Schistosomiasis in School Aged Children in Africa: A Systematic Review.

Schistosomiasis is a public health problem in more than 78 countries in the world. The disease is most prevalent among children than adults due to their high exposure to infectious water sources. Various interventions such as mass drug administration (MDA), snail control, safe water provision and health education have been implemented independently or jointly to control, reduce and ultimately eliminate Schistosomiasis. This scoping review focused on studies reporting the impact of different delivery strategies of targeted treatment and MDA on the prevalence and intensity of schistosomiasis infection in school aged children in Africa. The review focused on Schistosoma haematobium and Schistosoma mansoni species. A systematic search for eligible literature from peer-reviewed articles was done from Google Scholar, Medline, PubMed and EBSCO host databases. The search yielded twenty-seven peer-reviewed articles. All articles found reported a decrease in the prevalence of schistosomiasis infection. Five studies (18.5%) reported a prevalence change below 40%, eighteen studies (66.7%) reported a change between 40% and 80%, and four studies (14.8%) reported a change above 80%. The infection intensity post-treatment was varied: twenty-four studies reported a decrease, while two studies reported an increase. The review showed that the impact of targeted treatment on the prevalence and intensity of schistosomiasis depended on the frequency at which it was offered, complementary interventions, and its uptake by the target population. Targeted treatment can significantly control the infection burden, but cannot eliminate the disease. Constant MDA programs coupled with preventative and health promotional programs are required to reach the elimination stage.

Community Health Worker programmes' integration into national health systems: Scoping review.

BACKGROUND: Community health worker (CHW) programmes, when adequately integrated into mainstream health systems, can provide a viable, affordable and sustainable path to strengthened health systems that better meets demands for improved child health, especially in resource-constrained settings. However, studies that report on how CHW programmes are integrated into respective health systems in sub-Saharan Africa (SSA) are missing. AIM: This review presents evidence on CHW programmes' integration into National Health Systems for improved health outcomes in SSA. SETTING: Sub-Saharan Africa. METHOD: Six CHW programmes representing three sub-Saharan regions (West, East, and Southern Africa) were purposively selected based on their deemed integration into respective National Health Systems. A database search of literature limited to the identified programmes was then conducted. Screening and literature selection was guided a scoping review framework. Abstracted data were synthesised and presented in a narrative form. RESULTS: A total of 42 publications met the inclusion criteria. Reviewed papers had an even focus on all six CHW programmes integration components. Although some similarities were observed, evidence of integration on most CHW programme integration components varied across countries. The linkage of CHW programmes to respective health systems runs across all reviewed countries. Some CHW programme components such as CHW recruitment, education and certification, service delivery, supervision, information management, and equipment and supplies are integrated into the health systems differently across the region. CONCLUSION: Different approaches to the integration of all the components depict complexity in the field of CHW programme integration in the region.Contribution: The study presents synthesized evidence on CHW programmes integration into national health systems in SSA.

Health systems strengthening through policy-level integration of community health worker programs into national health systems for improved health outcomes - scorecard metrics validation: A bifactor structural equation model approach.

Background: Subsequent to the demonstrated potential of community health workers (CHWs) in strengthening health systems to improve health outcomes, recent literature has defined context and guidelines for integrating CHW programs into mainstream health systems. However, quantitative measures for assessing the extent of CHW program integration into national health systems need to be developed. The purpose of this study was to validate a newly developed scale, Community Health Worker Program Integration Scorecard Metrics (CHWP-ISM), for assessing the degree of integration of CHW programs into national health systems in Sub-Saharan Africa (SSA). Methods: Data obtained through a pilot study involving a purposively selected sample of 41 participants selected from populations involved in CHW programs work in selected countries of SSA formed the basis of a 31-item bifactor model. Data were collected between June and December 2019. By applying a latent variable approach implemented with structural equation modeling, data analysis was mainly done using the R statistical environment, applying factor analysis procedures. Results: Dimensionality, construct validity, and the CHWP-ISM scale's internal consistency were assessed. Confirmatory factor analysis of the CHW-ISM bifactor model supported a co-occurring CHW integration general factor and six unique domain-specific factors. Both the comparative fit index (CFI) and Tucker-Lewis Index (TLI) fit indices were above 0.9, while the root mean square of the residuals (RMSR) was 0.02. Cronbach's alpha (α), Guttman 6 (Lambda 6), and Omega total (ωt) were above 0.8, indicating good scale reliability. Conclusion: Statistical significance of the bifactor model suggests that CHW integration has to be examined using factors that reflect a single common underlying integration construct, as well as factors that reflect unique variances for the identified six subject-specific domains. The validated CHWP-ISM could be useful to inform policy advisers, health systems, donors, non-governmental organizations, and other CHW program stakeholders with guidance on how to quantitatively assess the integration status of different components of CHW programs into respective critical functions of the health system. Improved integration could increase CHW program functionality, which could in turn strengthen the healthcare systems to improve health outcomes in the region.

Modeling factors critical for implementation of precision medicine at health systems-level: an IRT approach.

BACKGROUND: Through recent advances in omics technologies, precision medicine (PM) promises to fundamentally change the way we approach health, disease and illness. Imperative applications of omics-based biomarkers are gradually moving from research to clinical settings, with huge long-term clinical and public health implications. Whereas much of research in PM is mainly focused on basic biomedical discoveries, currently there is little research on the clinical implementation of omics biomarkers, especially at health systems level. AIM AND METHODS: This study investigated the application of multidimensional item response theory (IRT) models to validate a hypothesized PM implementation measurement model. This is a contribution to PM implementation at health systems level. Data obtained through an item-sort procedure involving 496 observations from 124 study participants formed the basis of a 22-item PMI measurement model. CONCLUSION: Statistical significance of the bifactor model suggests PM implementation may have to be examined using factors that reflect a single common underlying implementation construct, as well as factors that reflect unique variances for the identified four content-specific factors.

Challenges and Opportunities Presented by Current Techniques for Detecting Schistosome Infections in Intermediate Host Snails: A Scoping Review.

Schistosomiasis, a neglected tropical disease (NTD), causes morbidity and mortality in over 250 million people globally. And 700 million people are at risk of contracting it. It is caused by a parasite of the genus Schistosoma. Freshwater snails of the family Planorbidae are of public health significance as they are intermediate hosts of these highly infective flukes. Accurate diagnostic techniques to detect schistosome infections in intermediate host snails (IHS) and environmental surveillance are needed to institute measures for the interruption of transmission and eventual elimination. We carried out a systematic review of the literature to assess advantages and limitations of different diagnostic techniques for detecting schistosome infections in snails. Literature from Scopus, Web of Science, and PubMed databases from 2008 to 2020 were searched using combinations of predefined search terms with Boolean operators. The studies revealed that conventional diagnostics are widely used, although they are labor-intensive, have low specificity and sensitivity levels, and cannot detect prepatent infections. Whereas more advanced techniques such as immunological, nucleic-acid amplification, and eDNA diagnostics have high sensitivity and specificity levels, they are costly, hence, not suitable for field applications and large-scale surveys. Our review highlights the importance of designing and developing innovative diagnostics that are high in specificity and sensitivity as well as affordable and technically feasible for use in field laboratories and for large-scale surveys.

Scorecard metrics for assessing the extent of integration of community health worker programmes into national health systems.

BACKGROUND: The effectiveness of community health workers (CHWs) in delivering community-based preventive services is often curtailed by inadequate or complete lack of integration of the CHW programmes into national health systems. Although literature has defined the context and guidelines for integrating CHW programmes into health systems, indicators to quantitatively assess the extent of integration are inadequately addressed. AIM: This article presents an integration scale - CHW Programme Integration Scorecard Metrics (CHWP-ISM) - for measuring the extent of CHW programme integration into national health systems. SETTING: Literature review and policy documents were focused on sub-Saharan Africa, while interview participants were drawn from six African countries. METHODS: A deductive-inductive approach to item and measurement scale development was employed. Information obtained from a combination of diverse literature sources, subject matter expert (SME) interviews and documentary abstraction from publicly available policy documents advised item generation for the proposed CHWP-ISM. The study qualitatively captured the sectoral CHW integration, thematically analysed the data and culminated in the quantitative integration metrics. RESULTS: Analysis of the responses from six SMEs and abstraction from policy documents resulted in the compilation of metrics with a total of 100 indicators for the CHWP-ISM scale that could be used to assess the level of CHW programmes integration into national health systems. The indicators were categorised along the six World Health Organization's (WHO) health systems building blocks. Subject matter expert responses corresponded well with abstracted results from the 18 country CHW programmes, indicating content validity. CONCLUSION: The proposed scorecard metrics can be used to quantitatively rate the extent of CHW programmes integration into health systems, in an attempt to strengthen health systems to improve health outcomes.

The mediating effects of public genomic knowledge in precision medicine implementation: A structural equation model approach.

Precision medicine emphasizes predictive, preventive and personalized treatment on the basis of information gleaned from personal genetic and environmental data. Its implementation at health systems level is regarded as multifactorial, involving variables associated with omics technologies, public genomic awareness and adoption tendencies for new medical technologies. However, interrelationships of the various factors and their synergy has not been sufficiently quantified. Based on a survey of 270 participants involved in the use of molecular tests (omics-based biomarkers, OBMs), this study examined how characteristics of omics biomarkers influence precision medicine implementation outcomes (ImO) through an intermediary factor, public genomic awareness (represented by User Response, UsR). A structural equation modelling (SEM) approach was applied to develop and test a 3 latent variable mediation model; each latent variable being measured by a set of indicators ranging between three and six. Mediation analysis results confirmed a partial mediation effect (an indirect effect represented as the product of paths 'a' and 'b' (a*b)) of 0.36 at 90% confidence level, CI = [0.03, 9.94]. Results from the individual mediation paths 'a' and 'b' however, showed that these effects were negative(a = -0.38, b = -0.94). Path 'a' represents the effect of characteristics of OBMs on the mediator, UsR; 'b' represents the effect of the mediator, UsR on implementation outcomes, ImO, holding OBMs constant. The results have both theoretical and practice implications for biomedical genomics research and clinical genomics, respectively. For instance, the results imply better ways have to be devised to more effectively engage the public in addressing extended family support for extended family cascade screening, especially for monogenic hereditary conditions like BRCA-related breast cancer and colorectal cancer in Lynch syndrome families. At basic biomedical research level, results suggest an integrated biomarker development pipeline, with early consideration of factors that may influence biomarker uptake. The results are also relevant at health systems level in indicating which factors should be addressed for successful.

Leveraging implementation science to improve implementation outcomes in precision medicine.

BACKGROUND AND PURPOSE: Introduction of omics technologies in clinical practice means increased use of validated biomarkers, through precision medicine (PM). Although implementation science (IS) affords an array of theoretical approaches that can potentially explain PM intervention uptake, their relevance and applicability in PM implementation has not been empirically tested. This article identifies and examines existing implementation frameworks for their applicability in PM, demonstrating how different IS theories can be used to generate testable implementation hypotheses in PM. METHODS: A three-step methodology was employed to search and select implementation models: a scoping search in Google Scholar produced 15 commonly used models in healthcare; a systematic search in PUBMED and Web of Science using the names of each model as keywords in search strings produced 290 publications for screening and abstraction; finally, a citation frequency search in the 3 databases produced most cited models that were included in the narrative synthesis. RESULTS: Main concepts and constructs associated with each of the 15 models were identified. Four most cited frameworks in healthcare were: REAIM, CFIR, PRISM and PARiHS. Corresponding constructs were mapped and examined for potential congruence to PM. A generalized PM implementation conceptual framework was developed showing how omics biomarker uptake relates to their evidence base, patient and provider engagement and Big data capabilities of involved organizations. CONCLUSION: We demonstrated how implementation complexities in PM can be addressed by explicit use of implementation theories. The work here may provide a reference for further research of empirically testing and refining the identified implementation constructs.

Highlights of the 3rd ISCB Africa Student Council Symposium 2019 in Ghana.

The article elaborates on the program highlights of the 3rd African Student Council Symposium 2019. The one-day symposium was held in Kwame Nkrumah University of Science and Technology (KNUST), Ghana, on 11 November 2019 during the 6th joint international bioinformatics conference of the ISCB and ASBCB. It consisted of three sessions that included keynote talks by Prof Christine Orengo and Dr. Amel Ghouila, and seven selected student speaker talks from different areas of bioinformatics. The students benefited from networking and learning about ongoing research work by their peers hailing from different countries of the African region. The symposium proved to be pivotal to strengthen connections in the African bioinformatics student community.

Current Affairs of Microbial Genome-Wide Association Studies: Approaches, Bottlenecks and Analytical Pitfalls.

Microbial genome-wide association studies (mGWAS) are a new and exciting research field that is adapting human GWAS methods to understand how variations in microbial genomes affect host or pathogen phenotypes, such as drug resistance, virulence, host specificity and prognosis. Several computational tools and methods have been developed or adapted from human GWAS to facilitate the discovery of novel mutations and structural variations that are associated with the phenotypes of interest. However, no comprehensive, end-to-end, user-friendly tool is currently available. The development of a broadly applicable pipeline presents a real opportunity among computational biologists. Here, (i) we review the prominent and promising tools, (ii) discuss analytical pitfalls and bottlenecks in mGWAS, (iii) provide insights into the selection of appropriate tools, (iv) highlight the gaps that still need to be filled and how users and developers can work together to overcome these bottlenecks. Use of mGWAS research can inform drug repositioning decisions as well as accelerate the discovery and development of more effective vaccines and antimicrobials for pressing infectious diseases of global health significance, such as HIV, TB, influenza, and malaria.

Ethical issues associated with medical tourism in Africa.

Global disparities in medical technologies, laws, economic inequities, and social-cultural differences drive medical tourism (MT), the practice of travelling to consume healthcare that is either too delayed, unavailable, unaffordable or legally proscribed at home. Africa is simultaneously a source and destination for MT. MT however, presents a new and challenging health ethics frontier, being largely unregulated and characterized by policy contradictions, minority discrimination and conflict of interest among role-players. This article assesses the level of knowledge of MT and its associated ethical issues in Africa; it also identifies critical research gaps on the subject in the region. Exploratory design guided by Arksey and O'Malley's (2005) framework was used. Key search terms and prior determined exclusion/inclusion criteria were used to identify relevant literature sources. Fifty-seven articles met the inclusion criteria. Distributive justice, healthcare resource allocation, experimental treatments and organ transplant were the most common ethical issues of medical tourism in Africa. The dearth of robust engagement of MT and healthcare ethics, as identified through this review, calls for more rigorous research on this subject. Although the bulk of the medical tourism industry is driven by global legal disparities based on ethical considerations, little attention has been given to this subject.

Role, structure and effects of medical tourism in Africa: a systematic scoping review protocol.

INTRODUCTION: Some patients travel out of, while others come into Africa for medical care through a growing global phenomenon referred to as medical tourism (MT): the travel in search of medical care that is either unavailable, unaffordable or proscribed at home healthcare systems. While some castigate MT as promoting healthcare inequity, others endorse it as a revenue generator, promising local healthcare system strengthening. Currently, however, the understanding of this component of healthcare in Africa is inadequate. This study seeks to determine the level of knowledge on the role, structure and effect of MT in Africa as it relates to healthcare systems in the region. METHODS: Conduct a systematic scoping review to outline the role, structure and effect of MT in Africa. Databases: Academic Search Complete, Business Source Complete. Studies mapped in two stages: (1) mapping the studies based on the relevance of their titles and subject descriptors; (2) applying further inclusion criteria on studies from stage 1. Two reviewers will independently assess study quality and abstract data. Both quantitative and qualitative data analysis will be performed, using STATA V.13 and NVIVO, respectively. ETHICS AND DISSEMINATION: The study results will be disseminated by publication in peer-reviewed journals and findings presented at academic and industry conferences related to MT, public health, health systems strengthening and tourism. DISCUSSION: MT spurs cutting-edge medical technologies, techniques and best practices in healthcare delivery. The two-tier healthcare landscape in Africa, however, presents an exceptionally unique context in which to situate this study. Much has been written about MT globally, but not much is known about the phenomenon in Africa; hence the appropriateness of this scientific assessment of MT in the region. By elucidating the role, structure and effect of this phenomenon, this study hopes to contribute to health systems strengthening in Africa. PROSPERO REGISTRATION NUMBER: CRD42016039745.