Impact of health system governance on healthcare quality in low-income and middle-income countries: a scoping review.
Ontology highlight
ABSTRACT: Introduction
Improving healthcare quality in low-/middle-income countries (LMICs) is a critical step in the pathway to Universal Health Coverage and health-related sustainable development goals. This study aimed to map the available evidence on the impacts of health system governance interventions on the quality of healthcare services in LMICs.Methods
We conducted a scoping review of the literature. The search strategy used a combination of keywords and phrases relevant to health system governance, quality of healthcare and LMICs. Studies published in English until August 2023, with no start date limitation, were searched on PubMed, Cochrane Library, CINAHL, Web of Science, Scopus, Google Scholar and ProQuest. Additional publications were identified by snowballing. The effects reported by the studies on processes of care and quality impacts were reviewed.Results
The findings from 201 primary studies were grouped under (1) leadership, (2) system design, (3) accountability and transparency, (4) financing, (5) private sector partnerships, (6) information and monitoring; (7) participation and engagement and (8) regulation.Conclusions
We identified a stronger evidence base linking improved quality of care with health financing, private sector partnerships and community participation and engagement strategies. The evidence related to leadership, system design, information and monitoring, and accountability and transparency is limited.
SUBMITTER: George J
PROVIDER: S-EPMC10729209 | biostudies-literature | 2023 Dec
REPOSITORIES: biostudies-literature
Publications
Impact of health system governance on healthcare quality in low-income and middle-income countries: a scoping review.
George Joby J Jack Susan S Gauld Robin R Colbourn Timothy T Stokes Tim T
BMJ open 20231211 12
<h4>Introduction</h4>Improving healthcare quality in low-/middle-income countries (LMICs) is a critical step in the pathway to Universal Health Coverage and health-related sustainable development goals. This study aimed to map the available evidence on the impacts of health system governance interventions on the quality of healthcare services in LMICs.<h4>Methods</h4>We conducted a scoping review of the literature. The search strategy used a combination of keywords and phrases relevant to health ...[more]
Similar Datasets
Project description:BackgroundPoor governance impedes the provision of equitable and cost-effective health care in many low- and middle-income countries (LMICs). Although systemic problems such as corruption and inefficiency have been characterized as intractable, "good governance" interventions that promote transparency, accountability and public participation have yielded encouraging results. Mobile phones and other Information and Communication Technologies (ICTs) are beginning to play a role in these interventions, but little is known about their use and effects in the context of LMIC health care.MethodsMulti-stage scoping review: Research questions and scope were refined through a landscape scan of relevant implementation activities and by analyzing related concepts in the literature. Relevant studies were identified through iterative Internet searches (Google, Google Scholar), a systematic search of academic databases (PubMed, Web of Science), social media crowdsourcing (targeted LinkedIn and Twitter appeals) and reading reference lists and websites of relevant organizations. Parallel expert interviews helped to verify concepts and emerging findings and identified additional studies for inclusion. Results were charted, analyzed thematically and summarized.ResultsWe identified 34 articles from a wide range of disciplines and sectors, including 17 published research articles and 17 grey literature reports. Analysis of these articles revealed 15 distinct ways of using ICTs for good governance activities in LMIC health care. These use cases clustered into four conceptual categories: 1) gathering and verifying information on services to improve transparency and auditability 2) aggregating and visualizing data to aid communication and decision making 3) mobilizing citizens in reporting poor practices to improve accountability and quality and 4) automating and auditing processes to prevent fraud. Despite a considerable amount of implementation activity, we identified little formal evaluative research.ConclusionInnovative digital approaches are increasingly being used to facilitate good governance in the health sectors of LMICs but evidence of their effectiveness is still limited. More empirical studies are needed to measure concrete impacts, document mechanisms of action, and elucidate the political and sociotechnical dynamics that make designing and implementing ICTs for good governance so complex. Many digital good governance interventions are driven by an assumption that transparency alone will effect change; however responsive feedback mechanisms are also likely to be necessary.
| S-EPMC5017033 | biostudies-literature
Project description:IntroductionGlobally, the coronavirus disease 2019 (COVID-19) pandemic tested the resilience of the health system and its shock-absorbing capacity to continue offering healthcare services. The available evidences does not provide comprehensive insight into primary health care (PHC) system functioning across low- and middle- income countries (LMICs) during the pandemic. Therefore, the objective of this scoping review was to generate evidence on the resilience of PHC systems in LMICs during the COVID-19 pandemic.MethodsA scoping review was carried out utilizing an iterative search strategy using the National Library of Medicine (NLM) and the WHO COVID-19 electronic databases. Data from the identified studies in LMICs were charted in the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR) checklist in the first step. The analysis framework was adapted and modified using COVID-19 and health systems resilience framework developed by Sagan et al., Blanchet et al., and the WHO position paper on 'Building health systems resilience for universal health coverage and health security during the COVID-19 pandemic and beyond'. A total of 26 documents were included on the basis of predefined eligibility criteria for our analysis.ResultsOur review explored data from 44 LMICs that implemented strategies at the PHC level during the COVID-19 pandemic. Most of the LMICs developed national guidelines on sexual, reproductive, maternal, newborn, child, and adolescent health (SRMNCAH). Most of the countries also transformed and reoriented PHC service delivery by introducing digital healthcare services to continue essential services. Task shifting, task sharing, and redeployment of retired staff were some frequently adopted health workforce strategies adopted by most of the countries. Only a few of the countries demonstrated the availability of necessary monetary resources to respond to the pandemic.ConclusionsThe functionality of the PHC system during the COVID-19 pandemic was demonstrated by a variety of resilience strategies across the six building blocks of the health system. To strengthen PHC resilience, we recommend strengthening community-based PHC, cross-sectoral collaboration, establishing surveillance systems, capacity building in financial risk planning, and investing in strengthening the digital healthcare system.
| S-EPMC10507852 | biostudies-literature
Project description:Introduction:The 2018 Astana Declaration reaffirmed global commitment to primary healthcare (PHC) as a core strategy to achieve universal health coverage. To meet this potential, PHC in low-income and middle-income countries (LMIC) needs to be strengthened, but research is lacking and fragmented. We conducted a scoping review of the recent literature to assess the state of research on PHC in LMIC and understand where future research is most needed. Methods:Guided by the Primary Healthcare Performance Initiative (PHCPI) conceptual framework, we conducted searches of the peer-reviewed literature on PHC in LMIC published between 2010 (the publication year of the last major review of PHC in LMIC) and 2017. We also conducted country-specific searches to understand performance trajectories in 14 high-performing countries identified in the previous review. Evidence highlights and gaps for each topic area of the PHCPI framework were extracted and summarised. Results:We retrieved 5219 articles, 207 of which met final inclusion criteria. Many PHC system inputs such as payment and workforce are well-studied. A number of emerging service delivery innovations have early evidence of success but lack evidence for how to scale more broadly. Community-based PHC systems with supportive governmental policies and financing structures (public and private) consistently promote better outcomes and equity. Among the 14 highlighted countries, most maintained or improved progress in the scope of services, quality, access and financial coverage of PHC during the review time period. Conclusion:Our findings revealed a heterogeneous focus of recent literature, with ample evidence for effective PHC policies, payment and other system inputs. More variability was seen in key areas of service delivery, underscoring a need for greater emphasis on implementation science and intervention testing. Future evaluations are needed on PHC system capacities and orientation toward social accountability, innovation, management and population health in order to achieve the promise of PHC.
| S-EPMC6703296 | biostudies-literature
Project description:This work grew from an interest in understanding how private data are used for health system governance in low-income and middle-income countries (LMICs).ObjectiveWe conducted a scoping review to understand how the public sector collects routine data from the private health sector and uses it for governance purposes. The private health sector was defined to include both formal and informal, for-profit or non-profit, actors delivering healthcare services.FindingsWe identified 4014 individual English language studies published between 2010 and 2021. We reviewed titles and abstracts of all, with 50% reviewed by two authors to ensure a common application of inclusion criteria. 89 studies were selected for review in full; following this, 26 articles were included in the final selection as they directly report on the use of routine private sector data for governance in LMICs. Only English language studies were included, limiting the scope of possible conclusions.ResultsData were most commonly collected by the Ministry of Health or a subministerial office, with extraction from District Health Information System 2 specifically cited for three studies. 16 studies collected data on infrastructure and distribution, 15 on service delivery, 12 on health financing, 7 on pharmaceuticals and other consumables, 4 on health workforce, 4 on quality of care and 4 on epidemic surveillance.ConclusionThe studies identified provide examples of the public sector's capacity to collect and use data routinely collected from the private sector to perform essential governance functions. The paucity of studies identified is an indication that more attention is needed to ensure that this key area of health system governance is undertaken and that lessons learnt are shared. This review provides insights to understanding private sector health data collection and use for governance in LMICs, and for guiding activities to assess and improve this according to country context and capacity.
| S-EPMC11574423 | biostudies-literature
Project description:Tracheostomy is a lifesaving, essential procedure performed for airway obstruction in the case of head and neck cancers, prolonged ventilator use, and for long-term pulmonary care. While successful quality improvement interventions in high-income countries such as through the Global Tracheostomy Collaborative significantly reduced length of hospital stay and decreased levels of anxiety among patients, limited literature exists regarding tracheostomy care and practices in low and middle-income countries (LMIC), where most of the world resides. Given limited literature, this scoping review aims to summarize published tracheostomy studies in LMICs and highlight areas in need of quality improvement and clinical research efforts. Based on the PRISMA guidelines, a scoping review of the literature was performed through MEDLINE/PubMed and Embase using terms related to tracheostomy, educational and quality improvement interventions, and LMICs. Publications from 2000-2022 in English were included. Eighteen publications representing 10 countries were included in the final analysis. Seven studies described baseline needs assessments, 3 development of training programs for caregivers, 6 trialed home-based or hospital-based interventions, and finally 2 articles discussed development of standardized protocols. Overall, studies highlighted the unique challenges to tracheostomy care in LMICs including language, literacy barriers, resource availability (running water and electricity in patient homes), and health system access (financial costs of travel and follow-up). There is currently limited published literature on tracheostomy quality improvement and care in LMICs. Opportunities to improve quality of care include increased efforts to measure complications and outcomes, implementing evidence-based interventions tailored to LMIC settings, and using an implementation science framework to study tracheostomy care in LMICs.
| S-EPMC10635432 | biostudies-literature
Project description:INTRODUCTION:There are gaps in the primary healthcare (PHC) delivery in majority of low-income and middle-income countries (LMICs) due to epidemiological transition, emergence of outbreaks or war, and often lack of governance. In LMICs, governance is always a less focused aspect, and often limited to the role of the authority despite potential contribution of other actors. It is evident that community engagement and social mobilisation of health service delivery result in better health outcomes. Even in case of systems failure, the need for PHC services is satisfied by individuals and communities in LMICs. Available evidence including systematic reviews on PHC governance is mostly from high-income countries and there is limited work in LMICs. This evidence gap map (EGM) is a systematic exploration to identify evidence gaps in PHC policy and governance in this region. METHODS AND ANALYSIS:Different bibliographic databases were explored to retrieve available studies considering the time period between 1980 and 2017, and these were independently screened by two reviewers. Screened articles will be considered for full-text extraction based on prespecified criteria for inclusion and exclusion. A modified SURE (Supporting the Use of Research Evidence) checklist will be used to assess the quality of included systematic reviews. Overview of the findings will be provided in synthesised form. Identified interventions and outcomes will be plotted in a dynamic platform to develop a gap map. ETHICS AND DISSEMINATION:Findings of the EGM will be published in a peer-reviewed journal in a separate manuscript. This EGM aims to explore the evidence gaps in PHC policy and governance in LMICs. Findings from the EGM will highlight the gaps in PHC to guide policy makers and researchers for future research planning and development of national strategies. PROSPERO REGISTRATION NUMBER:CRD42018096883.
| S-EPMC6398635 | biostudies-literature
Project description:BackgroundA routine health information system is one of the essential components of a health system. Interventions to improve routine health information system data quality and use for decision-making in low- and middle-income countries differ in design, methods, and scope. There have been limited efforts to synthesise the knowledge across the currently available intervention studies. Thus, this scoping review synthesised published results from interventions that aimed at improving data quality and use in routine health information systems in low- and middle-income countries.MethodWe included articles on intervention studies that aimed to improve data quality and use within routine health information systems in low- and middle-income countries, published in English from January 2008 to February 2020. We searched the literature in the databases Medline/PubMed, Web of Science, Embase, and Global Health. After a meticulous screening, we identified 20 articles on data quality and 16 on data use. We prepared and presented the results as a narrative.ResultsMost of the studies were from Sub-Saharan Africa and designed as case studies. Interventions enhancing the quality of data targeted health facilities and staff within districts, and district health managers for improved data use. Combinations of technology enhancement along with capacity building activities, and data quality assessment and feedback system were found useful in improving data quality. Interventions facilitating data availability combined with technology enhancement increased the use of data for planning.ConclusionThe studies in this scoping review showed that a combination of interventions, addressing both behavioural and technical factors, improved data quality and use. Interventions addressing organisational factors were non-existent, but these factors were reported to pose challenges to the implementation and performance of reported interventions.
| S-EPMC7544093 | biostudies-literature
Project description:IntroductionImproving maternal health remains a health priority at the global and national levels. As part of the global strategy, many low/middle-income countries (LMICs) have implemented free primary healthcare policies for different service packages including maternal health. Free maternal healthcare policies aim to improve maternal health by removing the financial burden of accessing maternal healthcare services. The objective of this scoping review is to assess evaluations of free maternal healthcare policies and the impact on maternal health in LMICs. This will help identify theoretical and methodological approaches (or gaps if any) for evaluating the impact of free maternal healthcare policies to inform future work. It will also provide an evidence base for policymakers and other stakeholder with an interest in planning, funding and implementing evidence based and effective interventions to improving maternal health outcomes.MethodsThe scoping review will follow the methodological framework proposed by Arksey and O'Malley and refined by Joanna Briggs Institute. It will involve a literature search of the PubMed, Scopus ScienceDirect, Web of Science and CINAHL databases for peer-reviewed journal articles related to the impact of free maternal health policies in LMICs published from 2000 to the present. Two reviewers will screen and appraise eligible articles using preset criteria based on the 'population-concept-context' framework. A data extraction framework will be used to extract and chart data from the reviewed articles. The results will be analysed using descriptive numerical summary analysis and qualitative thematic analysis.Ethics and disseminationEthical approval is not required as the scoping review will synthesise information from publicly available materials. Dissemination will be through publication in a peer-reviewed journal and presentation at relevant conferences and workshops.
| S-EPMC6720327 | biostudies-literature
Project description:BackgroundPulse oximetry has been used in medical care for decades. Its use quickly became standard of care in high resource settings, with delayed widespread availability and use in lower resource settings. Pulse oximetry training initiatives have been ongoing for years, but a map of the literature describing such initiatives among health care workers in low- and middle-income countries (LMICs) has not previously been conducted. Additionally, the coronavirus disease 2019 (COVID-19) pandemic further highlighted the inequitable distribution of pulse oximetry use and training. We aimed to characterise the landscape of pulse oximetry training for health care workers in LMICs prior to the COVID-19 pandemic as described in the literature.MethodsWe systematically searched six databases to identify studies reporting pulse oximetry training among health care workers, broadly defined, in LMICs prior to the COVID-19 pandemic. Two reviewers independently assessed titles and abstracts and relevant full texts for eligibility. Data were charted by one author and reviewed for accuracy by a second. We synthesised the results using a narrative synthesis.ResultsA total of 7423 studies were identified and 182 screened in full. A total of 55 training initiatives in 42 countries met inclusion criteria, as described in 66 studies since some included studies reported on different aspects of the same training initiative. Five overarching reasons for conducting pulse oximetry training were identified: 1) anaesthesia and perioperative care, 2) respiratory support programme expansion, 3) perinatal assessment and monitoring, 4) assessment and monitoring of children and 5) assessment and monitoring of adults. Educational programmes varied in their purpose with respect to the types of patients being targeted, the health care workers being instructed, and the depth of pulse oximetry specific training.ConclusionsPulse oximetry training initiatives have been ongoing for decades for a variety of purposes, utilising a multitude of approaches to equip health care workers with tools to improve patient care. It is important that these initiatives continue as pulse oximetry availability and knowledge gaps remain. Neither pulse oximetry provision nor training alone is enough to bolster patient care, but sustainable solutions for both must be considered to meet the needs of both health care workers and patients.
| S-EPMC10514743 | biostudies-literature
Project description:In low- and middle-income countries (LMICs), AI has been promoted as a potential means of strengthening healthcare systems by a growing number of publications. We aimed to evaluate the scope and nature of AI technologies in the specific context of LMICs. In this systematic scoping review, we used a broad variety of AI and healthcare search terms. Our literature search included records published between 1st January 2009 and 30th September 2021 from the Scopus, EMBASE, MEDLINE, Global Health and APA PsycInfo databases, and grey literature from a Google Scholar search. We included studies that reported a quantitative and/or qualitative evaluation of a real-world application of AI in an LMIC health context. A total of 10 references evaluating the application of AI in an LMIC were included. Applications varied widely, including: clinical decision support systems, treatment planning and triage assistants and health chatbots. Only half of the papers reported which algorithms and datasets were used in order to train the AI. A number of challenges of using AI tools were reported, including issues with reliability, mixed impacts on workflows, poor user friendliness and lack of adeptness with local contexts. Many barriers exists that prevent the successful development and adoption of well-performing, context-specific AI tools, such as limited data availability, trust and evidence of cost-effectiveness in LMICs. Additional evaluations of the use of AI in healthcare in LMICs are needed in order to identify their effectiveness and reliability in real-world settings and to generate understanding for best practices for future implementations.
| S-EPMC9614192 | biostudies-literature