BACKGROUND: Low-income countries bear a growing and disproportionate burden of oral diseases. With the World Health Organization targeting universal oral health coverage by 2030, assessing the state of oral health coverage in these resource-limited nations becomes crucial. This research seeks to examine the political and resource commitments to oral health, along with the utilization rate of oral health services, across 27 low-income countries.
METHODS: We investigated five aspects of oral health coverage in low-income countries, including the integration of oral health in national health policies, covered oral health services, utilization rates, expenditures, and the number of oral health professionals. A comprehensive search was conducted across seven bibliographic databases, three grey literature databases, and national governments\' and international organizations\' websites up to May 2023, with no linguistic restrictions. Countries were categorized into \"full integration\", \"partial integration\", or \"no integration\" based on the presence of dedicated oral health policies and the frequency of oral health mentions. Covered oral health services, utilization rates, expenditure trends, and the density of oral health professionals were analyzed using evidence from reviews and data from World Health Organization databases.
RESULTS: A total of 4242 peer-reviewed and 3345 grey literature texts were screened, yielding 12 and 84 files respectively to be included in the final review. Nine countries belong to \"full integration\" and thirteen countries belong to \"partial integration\", while five countries belong to \"no integration\". Twelve countries collectively covered 26 types of oral health care services, with tooth extraction being the most prevalent service. Preventive and public health-based oral health interventions were scarce. Utilization rates remained low, with the primary motivation for seeking care being dental pain relief. Expenditures on oral health were minimal, predominantly relying on domestic private sources. On average, the 27 low-income countries had 0.51 dentists per 10,000 population, contrasting with 2.83 and 7.62 in middle-income and high-income countries.
CONCLUSIONS: Oral health care received little political and resource commitment toward achieving universal health coverage in low-income countries. Urgent action is needed to mobilize financial and human resources, and integrate preventive and public health-based interventions.

Pakistan embarked on a process of designing an essential package of health services (EPHS) as a pathway towards universal health coverage (UHC). The EPHS design followed an evidence-informed deliberative process; evidence on 170 interventions was introduced along multiple stages of appraisal engaging different stakeholders tasked with prioritising interventions for inclusion. We report on the composition of the package at different stages, analyse trends of prioritised and deprioritised interventions and reflect on the trade-offs made.
Quantitative evidence on cost-effectiveness, budget impact, and avoidable burden of disease was presented to stakeholders in stages. We recorded which interventions were prioritised and deprioritised at each stage and carried out three analyses: (1) a review of total number of interventions prioritised at each stage, along with associated costs per capita and disability-adjusted life years (DALYs) averted, to understand changes in affordability and efficiency in the package, (2) an analysis of interventions broken down by decision criteria and intervention characteristics to analyse prioritisation trends across different stages, and (3) a description of the trajectory of interventions broken down by current coverage and cost-effectiveness.
Value for money generally increased throughout the process, although not uniformly. Stakeholders largely prioritised interventions with low budget impact and those preventing a high burden of disease. Highly cost-effective interventions were also prioritised, but less consistently throughout the stages of the process. Interventions with high current coverage were overwhelmingly prioritised for inclusion.
Evidence-informed deliberative processes can produce actionable and affordable health benefit packages. While cost-effective interventions are generally preferred, other factors play a role and limit efficiency.

Universal Health Coverage (UHC) is one of the most important strategies adopted by countries in achieving goals of sustainable development. To achieve UHC, the governments need the engagement of the private sector.
The aim of this study was to identify factors affecting private sector engagement in achieving universal health coverage.
The study is a scoping review that utilizes Arkesy & O\'Malley frameworks. Data collection was conducted in MEDLINE, Web of Sciences, Embase, ProQuest, SID, and MagIran databases and the Google Scholar search engine. Also, manual searches of journals and websites, reference checks, and grey literature searches were done using specific keywords. To manage and screen the studies, EndNote X8 software was used. Data extraction and analysis was done by two members of the research team, independently and using content analysis.
According to the results, 43 studies out of 588 studies were included. Most of the studies were international (18 studies). Extracted data were divided into four main categories: challenges, barriers, facilitators, goals, and reasons for engagement. After exclusion and integration of identified data, these categories were classified in the following manner: barriers and challenges with 59 items and in 13 categories, facilitators in 50 items and 9 categories, reasons with 30 items, and in 5 categories and goals with 24 items and 6 categories.
Utilizing the experience of different countries, challenges and barriers, facilitators, reasons, and goals were analyzed and classified. This investigation can be used to develop the engagement of the private sector and organizational synergy in achieving UHC by policymakers and planners.
Main findings: Governments are key in healthcare provision, but the private sector’s involvement is increasingly vital for universal health coverage.Added knowledge: This paper explores the evolving role of the private sector in universal health coverage, analysing barriers, challenges, facilitators, reasons, and goals for engagement while suggesting areas for further exploration.Global health impact for policy and action: The private sector’s contributions to achieving Universal Health Coverage necessitate comprehensive policy frameworks and targeted actions to ensure equitable and sustainable health outcomes worldwide.

UNASSIGNED: Achieving universal health coverage in the African region requires health systems strengthening. Assessing and comparing health systems contributes to this process, but requires internationally comparable data. The European Observatory on Health Systems and Policies has produced Health Systems in Transition (HiT) reviews in Europe, Asia, North America and the Caribbean with a standardised template. This study explores data availability in international databases for the quantitative health and health system indicators in the HiT template for the WHO African region.
UNASSIGNED: We identified ten databases which contained data for 40 of the 80 original HiT indicators and an additional 23 proxy indicators to fill some gaps. We then assessed data availability for the resulting 63 indicators by country and time, i.e. first/last year of data, years of data available overall and since 2000, and we explored for each indicator (1) against the country with the greatest availability overall and (2) against annual availability for all years since 2000.
UNASSIGNED: Overall data availability was greatest in South Africa (93.0% of possible total points) and least in South Sudan (59.5%). Since 2000, Uganda (60.4%) has had the highest data availability and South Sudan (37.2%) the lowest. By topic, data availability was the highest for health financing (91.4%; median start/end date 2000/2019) and background characteristics (88.5%; 1990/2020) and was considerably lower for health system performance (54.5%; 2000/2018) and physical and human resources (44.8%; 2004/2013). Data are available for different years in different countries, and at irregular intervals, complicating time series analysis. No data are available for service provision indicators.
UNASSIGNED: Gaps in data in international databases across time, countries, and topics undermine systematic health systems comparisons and assessments, regional health systems strengthening, and efforts to achieve universal health coverage. More efforts are needed to strengthen national data collection and management and integrate national data into international databases to support cross-country assessments, peer learning, and planning. In tandem, more research is needed to understand the specific historical, cultural, administrative, and technological determinants influencing country data availability, as well as the facilitators and barriers of data sharing between countries and international databases, and the potential of new technologies to increase timeliness of data.

BACKGROUND: Universal health coverage (UHC) is a global priority, ensuring equitable access to quality healthcare services without financial hardship. Many countries face challenges in progressing towards UHC. Health financing is pivotal for advancing UHC by raising revenues, enabling risk-sharing through pooling of funds and allocating resources. Digital technologies in the healthcare sector offer promising opportunities for health systems. In low-income and middle-income countries (LMICs), digital technologies for health financing (DTHF) have gained traction, supporting these three main functions of health financing for UHC. As existing information on DTHF in LMICs is limited, our scoping review aims to provide a comprehensive overview of DTHF in LMICs. Our objectives include identifying and describing existing DTHF, exploring evaluation approaches, examining their positive and negative effects, and investigating facilitating factors and barriers to implementation at the national level.
METHODS: Our scoping review follows the six stages proposed by Arksey and O\'Malley, further developed by Levac et al and the Joanna Briggs Institute. The reporting adheres to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews framework. Eligibility criteria for studies reflect the three core elements of the search: (1) health financing, (2) digital technologies and (3) LMICs. We search multiple databases, including Medline via PubMed, EMBASE via Ovid, the Web of Science Core Collection, CENTRAL via Cochrane and the Global Index Medicus by the WHO. The extracted information is synthesised from both quantitative and qualitative studies.
BACKGROUND: As our scoping review is based solely on information gathered from previously published studies, documents and publicly available scientific literature, ethical clearance is not required for its conduct. The findings are presented and discussed in a peer-reviewed article, as well as shared at conferences relevant to the topic.

Universal health coverage (UHC) is crucial for public health, poverty eradication, and economic growth. However, 97% of low- and middle-income countries (LMICs), particularly Africa and Asia, lack it, relying on out-of-pocket (OOP) expenditure. National Health Insurance (NHI) guarantees equity and priorities aligned with medical needs, for which we aimed to determine the pooled willingness to pay (WTP) and its influencing factors from the available literature in Africa and Asia.
Database searches were conducted on Scopus, HINARI, PubMed, Google Scholar, and Semantic Scholar from March 31 to April 4, 2023. The Joanna Briggs Institute\'s (JBI\'s) tools and the \"preferred reporting items for systematic reviews and meta-analyses (PRISMA) 2020 statement\" were used to evaluate bias and frame the review, respectively. The data were analyzed using Stata 17. To assess heterogeneity, we conducted sensitivity and subgroup analyses, calculated the Luis Furuya-Kanamori (LFK) index, and used a random model to determine the effect estimates (proportions and odds ratios) with a p value less than 0.05 and a 95% CI.
Nineteen studies were included in the review. The pooled WTP on the continents was 66.0% (95% CI, 54.0-77.0%) before outlier studies were not excluded, but increased to 71.0% (95% CI, 68-75%) after excluding them. The factors influencing the WTP were categorized as socio-demographic factors, income and economic issues, information level and sources, illness and illness expenditure, health service factors, factors related to financing schemes, as well as social capital and solidarity. Age has been found to be consistently and negatively related to the WTP for NHI, while income level was an almost consistent positive predictor of it.
The WTP for NHI was moderate, while it was slightly higher in Africa than Asia and was found to be affected by various factors, with age being reported to be consistently and negatively related to it, while an increase in income level was almost a positive determinant of it.

BACKGROUND: Ethiopia strives to achieve Universal Health Coverage (UHC) through Primary Health Care (PHC) by expanding access to services and improving the quality and equitable comprehensive health services at all levels. The Health Extension Program (HEP) is an innovative strategy to deliver primary healthcare services in Ethiopia and is designed to provide basic healthcare to approximately 5000 people through a health post (HP) at the grassroots level. Thus, this review aimed to assess the magnitude of health extension service utilization in Ethiopia.
METHODS: The Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) checklist guideline was used for this review and meta-analysis. The electronic databases (PubMed, Cochrane Library, and African Journals Online) and search engines (Google Scholar and Grey literature) were searched to retrieve articles by using keywords. The Joanna Briggs Institute (JBI) meta-analysis of statistics assessment and review instrument was used to assess the quality of the studies. Heterogeneity was assessed using the I2 statistic. The meta-analysis with a 95% confidence interval using STATA 17 software was computed to present the pooled utilization of health extension services. Publication bias was assessed by visually inspecting the funnel plot and statistical tests using Egger\'s and Begg\'s tests.
RESULTS: 22 studies were included in the systematic review with a total of 28,171 participants, and 8 studies were included in the meta-analysis. The overall pooled magnitude of health extension service utilization was 58.5% (95% CI: 40.53, 76.48%). In the sub-group analysis, the highest pooled proportion of health extension service utilization was 60.42% (28.07, 92.77%) in the mixed study design, and in studies published after 2018, 59.38% (36.42, 82.33%). All studies were found to be within the confidence interval of the pooled proportion of health extension service utilization in leave-out sensitivity analysis.
CONCLUSIONS: The utilization of health extension services was found to be low compared to the national recommendation. Therefore, policymakers and health planners should come up with a wide variety of health extension service utilization strategies to achieve universal health coverage through the primary health care.

BACKGROUND: Efforts to move towards universal health coverage (UHC) aim to rebalance health financing in ways that increase efficiency, equity, and quality. Resource constraints require a shift from passive to strategic purchasing (SP). In this paper, we report on the experiences of SP in public sector health insurance schemes in nine middle-income countries to understand what extent SP has been established, the challenges and facilitators, and how it is helping countries achieve their UHC goals.
METHODS: We conducted a systematic search to identify papers on SP. Nine countries were selected for case study analysis. We extracted data from 129 articles. We used a common framework to compare the purchasing arrangements and key features in the different schemes. The evidence was synthesised qualitatively.
RESULTS: Five countries had health technology assessment (HTA) units to research what services to buy. Most schemes had reimbursement mechanisms that enabled some degree of cost control. However, we found evidenced-based changes to the reimbursement mechanisms only in Thailand and China. All countries have some form of mechanism for accreditation of health facilities, although there was considerable variation in what is done. All countries had some strategy for monitoring claims, but they vary in complexity and the extent of implementation; three countries have implemented e-claim processing enabling a greater level of monitoring. Only four countries had independent governance structures to provide oversight. We found delayed reimbursement (six countries), failure to provide services in the benefits package (four countries), and high out-of-pocket (OOP) payments in all countries except Thailand and Indonesia, suggesting the schemes were failing their members.
CONCLUSIONS: We recommend investment in purchaser and research capacity and a focus on strong governance, including regular engagement between the purchaser, provider and citizens, to build trusting relationships to leverage the potential of SP more fully, and expand financial protection and progress towards UHC.

BACKGROUND: Low- and middle-income countries have committed to achieving universal health coverage (UHC) as a means to enhance access to services and improve financial protection. One of the key health financing reforms to achieve UHC is the introduction or expansion of health insurance to enhance access to basic health services, including maternal and reproductive health care. However, there is a paucity of evidence of the extent to which these reforms have had impact on the main policy objectives of enhancing service utilization and financial protection. The aim of this systematic review is to assess the existing evidence on the causal impact of health insurance on maternal and reproductive health service utilization and financial protection in low- and lower middle-income countries.
METHODS: The review followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. The search included six databases: Medline, Embase, Web of Science, Cochrane, CINAHL, and Scopus as of 23rd May 2023. The keywords included health insurance, impact, utilisation, financial protection, and maternal and reproductive health. The search was followed by independent title and abstract screening and full text review by two reviewers using the Covidence software. Studies published in English since 2010, which reported on the impact of health insurance on maternal and reproductive health utilisation and or financial protection were included in the review. The ROBINS-I tool was used to assess the quality of the included studies.
RESULTS: A total of 17 studies fulfilled the inclusion criteria. The majority of the studies (82.4%, n = 14) were nationally representative. Most studies found that health insurance had a significant positive impact on having at least four antenatal care (ANC) visits, delivery at a health facility and having a delivery assisted by a skilled attendant with average treatment effects ranging from 0.02 to 0.11, 0.03 to 0.34 and 0.03 to 0.23 respectively. There was no evidence that health insurance had increased postnatal care, access to contraception and financial protection for maternal and reproductive health services. Various maternal and reproductive health indicators were reported in studies. ANC had the greatest number of reported indicators (n = 10), followed by financial protection (n = 6), postnatal care (n = 5), and delivery care (n = 4). The overall quality of the evidence was moderate based on the risk of bias assessment.
CONCLUSIONS: The introduction or expansion of various types of health insurance can be a useful intervention to improve ANC (receiving at least four ANC visits) and delivery care (delivery at health facility and delivery assisted by skilled birth attendant) service utilization in low- and lower-middle-income countries. Implementation of health insurance could enable countries\' progress towards UHC and reduce maternal mortality. However, more research using rigorous impact evaluation methods is needed to investigate the causal impact of health insurance coverage on postnatal care utilization, contraceptive use and financial protection both in the general population and by socioeconomic status.
BACKGROUND: This study was registered with Prospero (CRD42021285776).

OBJECTIVE: Countries with universal health coverage (UHC) strive for equal access for equal needs without users getting into financial distress. However, differences in healthcare utilisation (HCU) between socioeconomic groups have been reported in countries with UHC. This systematic review provides an overview individual-level, community-level, and system-level factors contributing to socioeconomic status-related differences in HCU (SES differences in HCU).
METHODS: Systematic review following the Preferred Reporting Items for Systematic review and Meta-Analysis (PRISMA) guidelines. The review protocol was published in advance.
METHODS: Embase, PubMed, Web of Science, Scopus, Econlit, and PsycInfo were searched on 9 March 2021 and 9 November 2022.
METHODS: Studies that quantified the contribution of one or more factors to SES difference in HCU in OECD countries with UHC.
METHODS: Studies were screened for eligibility by two independent reviewers. Data were extracted using a predeveloped data-extraction form. Risk of bias (ROB) was assessed using a tailored version of Hoy\'s ROB-tool. Findings were categorised according to level and a framework describing the pathway of HCU.
RESULTS: Of the 7172 articles screened, 314 were included in the review. 64% of the studies adjusted for differences in health needs between socioeconomic groups. The contribution of sex (53%), age (48%), financial situation (25%), and education (22%) to SES differences in HCU were studied most frequently. For most factors, mixed results were found regarding the direction of the contribution to SES differences in HCU.
CONCLUSIONS: SES differences in HCU extensively correlated to factors besides health needs, suggesting that equal access for equal needs is not consistently accomplished. The contribution of factors seemed highly context dependent as no unequivocal patterns were found of how they contributed to SES differences in HCU. Most studies examined the contribution of individual-level factors to SES differences in HCU, leaving the influence of healthcare system-level characteristics relatively unexplored.