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Background The United Nations General Assembly (UNGA), the International Labour Organization (ILO), the World Health Organization (WHO), the International Commission on Occupational Health (ICOH), and the European Union (EU) have encouraged countries to organize occupational health services (OHS) for all working people irrespective of the sector of economy, size of enterprise or mode of employment of the worker. The objective of this study was to survey the status of OHS in a sample of countries from all continents. Methods A questionnaire focusing on the main aspects of OHS was developed on the basis of ILO Convention No. 161 and several other questionnaire surveys used in various target groups of OHS. The questionnaire was sent to 58 key informants: ICOH National Secretaries. Results A total of 49 National Secretaries responded (response rate 84.5%), from countries that employ 70% of the total world labour force. The majority of the respondent countries, 67%, had drawn up an OHS policy and implement it with the help of national occupational safety and health (OSH) authorities, institutes of occupational health or respective bodies, universities, and professional associations. Multidisciplinary expert OHS resources were available in the majority (82%) of countries, but varied widely in quantitative terms. The average OHS coverage of workers was 24.8%, with wide variation between countries. In over two thirds (69%) of the countries, the content of services was mixed, consisting of preventive and curative services, and in 29% preventive only. OHS financing was organized according to a mixed model among 63% and by employers only among 33% of the respondents. Conclusions The majority of countries have drawn up policies, strategies and programmes for OHS. The infrastructures and institutional and human resources for the implementation of strategies, however, remain insufficient in the majority of countries (implementation gap). Qualitatively, the content and multidisciplinary nature of OHS corresponds to international guidance, but the coverage, comprehensiveness and content of services remain largely incomplete due to a lack of infrastructure and shortage of multiprofessional human resources (capacity gap). The estimated coverage of services in the study group was low; only a quarter of the total employed population (coverage gap).

Background Stroke survivors require continuing services to limit disability. This study assessed the coverage and equity of essential care services received during the first six months of post-stroke follow-up of stroke survivors in the Western Province of Sri Lanka. Methods A multidisciplinary team defined the essential post-stoke follow-up care services and agreed on a system to categorize the coverage of services as adequate or inadequate among those who were identified as needing the said service. We recruited 502 survivors of first ever stroke of any type, from 11 specialist hospitals upon discharge. Six months following discharge, trained interviewers visited their homes and assessed the coverage of essential services using a structured questionnaire. Results Forty-nine essential post-stroke follow-up care services were identified and categorized into six domains: monitoring of risk conditions, treatment, services to limit disabilities, services to prevent complications, lifestyle modification and supportive services. Of the recruited 502 stroke survivors, 363 (72.3%) were traced at the end of 6 months. Coverage of antiplatelet therapy was the highest (97.2% ( n  = 289, 95% CI 95.3- 99.1)) while referral to mental health services (3.3%, n  = 12, 95% CI 1.4–5.1) and training on employment for the previously employed (2.2%, n  = 4, 95% CI- 0.08–4.32), were the lowest among the six domains of care. In the sample, 59.8% (95% CI 54.76–64.48) had received an ‘adequate’ level of essential care services related to treatment while none received an ‘adequate’ level of services in the category of support services. Disaggregated service coverage by presence and type of limb paralysis within the domain of services to prevent complications, and by sex and education level within the domain of education level, show statistically significant differences ( p  < 0.05). Conclusions Apart from treatment services to limit disabilities, coverage of essential care services during the post-stroke period was inadequate. There were no apparent inequities in the coverage of vast majority of services. However focused policy decisions are required to address these gaps in services.

The World Health Organization (WHO) states that examining medical financial systems is the most important process in evaluating universal health coverage (UHC). This study used the service coverage index (SCI) as a proxy of the progress toward UHC in eleven Asian countries. We employed a fixed-effects regression model to analyze panel data from 2015 to 2017, to explain the interrelationship between the SCI and major socioeconomic indicators. We also conducted a performance analysis (ratio of achieved SCI level to gross domestic product (GDP) or health expenditure displacement) to examine the balance between the degree of achievements related to UHC and a country’s economic level. The results showed that GDP and health expenditure were significantly positively correlated with the SCI (p < 0.01). The panel data analysis results showed that GDP per capita was a factor that greatly influenced the SCI as well as poverty (partial regression coefficient: 0.0017, 95% CI: 0.0013–0.0021). The results of the performance analysis showed that the Philippines had the highest scores (GDP: 1.84 SCI score/USD per capita, health expenditure: 1.04 SCI score/USD per capita) and South Korea the lowest. We conclude that socioeconomic factors, such as GDP, health expenditure, unemployment, poverty, and population influence the progress of UHC, regardless of system maturity or geographic characteristics.

Achieving universal health coverage (UHC) involves all people receiving the health services they need, of high quality, without experiencing financial hardship. Making progress towards UHC is a policy priority for both countries and global institutions, as highlighted by the agenda of the UN Sustainable Development Goals (SDGs) and WHO's Thirteenth General Programme of Work (GPW13). Measuring effective coverage at the health-system level is important for understanding whether health services are aligned with countries' health profiles and are of sufficient quality to produce health gains for populations of all ages. Based on the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019, we assessed UHC effective coverage for 204 countries and territories from 1990 to 2019. Drawing from a measurement framework developed through WHO's GPW13 consultation, we mapped 23 effective coverage indicators to a matrix representing health service types (eg, promotion, prevention, and treatment) and five population-age groups spanning from reproductive and newborn to older adults (≥65 years). Effective coverage indicators were based on intervention coverage or outcome-based measures such as mortality-to-incidence ratios to approximate access to quality care; outcome-based measures were transformed to values on a scale of 0–100 based on the 2·5th and 97·5th percentile of location-year values. We constructed the UHC effective coverage index by weighting each effective coverage indicator relative to its associated potential health gains, as measured by disability-adjusted life-years for each location-year and population-age group. For three tests of validity (content, known-groups, and convergent), UHC effective coverage index performance was generally better than that of other UHC service coverage indices from WHO (ie, the current metric for SDG indicator 3.8.1 on UHC service coverage), the World Bank, and GBD 2017. We quantified frontiers of UHC effective coverage performance on the basis of pooled health spending per capita, representing UHC effective coverage index levels achieved in 2019 relative to country-level government health spending, prepaid private expenditures, and development assistance for health. To assess current trajectories towards the GPW13 UHC billion target—1 billion more people benefiting from UHC by 2023—we estimated additional population equivalents with UHC effective coverage from 2018 to 2023. Globally, performance on the UHC effective coverage index improved from 45·8 (95% uncertainty interval 44·2–47·5) in 1990 to 60·3 (58·7–61·9) in 2019, yet country-level UHC effective coverage in 2019 still spanned from 95 or higher in Japan and Iceland to lower than 25 in Somalia and the Central African Republic. Since 2010, sub-Saharan Africa showed accelerated gains on the UHC effective coverage index (at an average increase of 2·6% [1·9–3·3] per year up to 2019); by contrast, most other GBD super-regions had slowed rates of progress in 2010–2019 relative to 1990–2010. Many countries showed lagging performance on effective coverage indicators for non-communicable diseases relative to those for communicable diseases and maternal and child health, despite non-communicable diseases accounting for a greater proportion of potential health gains in 2019, suggesting that many health systems are not keeping pace with the rising non-communicable disease burden and associated population health needs. In 2019, the UHC effective coverage index was associated with pooled health spending per capita (r=0·79), although countries across the development spectrum had much lower UHC effective coverage than is potentially achievable relative to their health spending. Under maximum efficiency of translating health spending into UHC effective coverage performance, countries would need to reach $1398 pooled health spending per capita (US$ adjusted for purchasing power parity) in order to achieve 80 on the UHC effective coverage index. From 2018 to 2023, an estimated 388·9 million (358·6–421·3) more population equivalents would have UHC effective coverage, falling well short of the GPW13 target of 1 billion more people benefiting from UHC during this time. Current projections point to an estimated 3·1 billion (3·0–3·2) population equivalents still lacking UHC effective coverage in 2023, with nearly a third (968·1 million [903·5–1040·3]) residing in south Asia. The present study demonstrates the utility of measuring effective coverage and its role in supporting improved health outcomes for all people—the ultimate goal of UHC and its achievement. Global ambitions to accelerate progress on UHC service coverage are increasingly unlikely unless concerted action on non-communicable diseases occurs and countries can better translate health spending into improved performance. Focusing on effective coverage and accounting for the world's evolving health needs lays the groundwork for better understanding how close—or how far—all populations are in benefiting from UHC. Bill & Melinda Gates Foundation.

Background This article examines the association between population density, maternal mortality, and under-5 mortality in countries throughout the world, as well as the mediating impacts of the Universal Health Coverage Service Coverage Index (UHC-SCI). Methods The World Health Organization’s website provided data on maternal mortality and the Universal Health Coverage Service Coverage Index for the years 2000–2020. The World Bank database included information on population density and under-5 mortality rates for nations between 2000 and 2020. Panel regressions were used to examine the association between population density and maternal and under-5 mortality in each nation, as well as the mediating influence of the Universal Health Coverage Service Coverage Index, while accounting for economic, environmental, and medical factors. Finally, data is divided into regressions based on World Bank member countries’ income levels to examine heterogeneity. Results The study included 175 countries and found a significant negative correlation between population density, maternal mortality, and under-5 mortality ( B = -1.015, -1.146, P  < 0.05). The Universal Health Coverage Service Coverage Index mediated this relationship ( B = -1.044, -1.141, P  < 0.05). Conclusions Increasing population density in countries around the world has helped to reduce maternal and child mortality. As population density has increased, so has the level of the Universal Health Coverage Service Coverage Index, which has proven effective in lowering maternal and under-5 mortality. Governments should plan interventions to build basic health facilities and allocate resources to health services based on population density, level of economic development, and the current state of their health systems, with the goal of stabilizing the rate of change in maternal and under-5 mortality and, eventually, achieving the Sustainable Development Goals.

This paper examines the evolution of Brazil's Family Health Strategy coverage from the findings of the 2013 and 2019 National Health Survey censuses. Indicators included Family Health Clinic coverage of residents and households, frequency of visits by Community Health Workers, and usual source of care, all stratified by rural and urban areas, Brazilian regions, states, education of the household head, and income quintile. In 2019, 60.0% of households were enrolled in a Family Health Clinic, and population coverage was 62.6%. Coverage was higher in rural than in urban areas in the Northeast and South regions. Between 2013 and 2019, coverage increased by 11.6%, while monthly health worker visits decreased. Coverage was highest among the most vulnerable population, as defined by the household head education level or by the family income. Availability of usual source of care was highest among those enrolled in a Family Health Clinic. The 2019 National Health Survey findings confirm that Brazil's Family Health Strategy continues to be an equitable policy and the main SUS' Primary Health Care model. However, recent changes in the national policy guidance, which are weakening the community approach and the priority given to the Family Health Strategy Program, may jeopardize those gains.

Abstract This paper describes the structure and results of Primary Health Care (PHC) in Brazil between 2008 and 2019. The medians of the following variables were calculated: PHC spending per inhabitant covered, PHC coverage, and rates of mortality and hospitalizations due to primary care sensitive conditions (PCSC), in 5,565 Brazilian municipalities stratified according to population size and quintile of the Brazilian Deprivation Index (IBP), and the median trend in the period was analyzed. There was a 12% increase in median PHC spending. PHC coverage expanded, with 3,168 municipalities presenting 100% coverage in 2019, compared to 2,632 in 2008. The median rates of PCSC mortality and hospitalizations increased 0.2% and decreased 44.9%, respectively. PHC spending was lower in municipalities with greater socioeconomic deprivation. The bigger the population and the better the socioeconomic conditions were in the municipalities, the lower the PHC coverage. The greater the socioeconomic deprivation was in the municipalities, the higher the median PCSC mortality rates. This study showed that the evolution of PHC was heterogeneous and is associated both with the population size and with the socioeconomic conditions of the municipalities. Resumo Descreve a evolução da estrutura e resultados da Atenção Primária à Saúde (APS) no Brasil, entre 2008 e 2019. Foram calculadas a mediana de variáveis como: despesa per capita em APS por habitante coberto, cobertura da APS e as taxas de mortalidade e internações por condições sensíveis à atenção primária (CSAP) de 5.565 municípios brasileiros estratificados segundo porte populacional e quintil do Índice Brasileiro de Privação (IBP) e analisada a tendência mediana no período. Houve aumento de 12% na mediana da despesa em APS. A cobertura da APS expandiu, sendo que 3.168 municípios apresentaram 100% de cobertura em 2019, contra 2.632 em 2008. A mediana das taxas de mortalidade e internações por CSAP aumentou 0,2% e diminuiu 44,9% respectivamente. A despesa em APS foi menor nos municípios com maior privação socioeconômica. Quanto maior o porte populacional e melhores as condições socioeconômicas dos municípios, menor a cobertura da APS. Quanto maior a privação socioeconômica dos municípios, maiores foram as medianas das taxas de mortalidade por CSAP. Este estudo demonstrou que a evolução da APS foi heterogênea e está associada tanto ao porte populacional como às condições socioeconômicas dos municípios.

to present Family Health Strategy (ESF) coverage according to the National Health Survey (PNS), comparing to administrative data and previous coverage of the National Household Sample Survey (PNAD 2008), and describe the frequencies of home visiting teams. it was compared data from 2013 according to PNS and data from the Ministry of Health and the National Household Sample Survey (PNAD 2008). Home visiting indicators of PNS were stratified by education and Major Regions. the proportion of households registered in Family Health Teams in Brazil was 53.4% (95%CI: 52.1-54.6), being higher in rural areas and in the Northeast. The proportion of residents in registered households was 56.2%, similar to the Ministry of Health (56.4%) and showed growth compared to PNAD 2008 (50.9%). There was variation between regions, UF and capitals. People with lower education level have received more home visiting monthly. the ESF is an important promoter of health equity and its coverage and scope increase is successful in the country.

ObjectiveMonitoring essential health services coverage is important to inform resource allocation for the attainment of the Sustainable Development Goal 3. The objective was to assess service, effective and financial coverages of maternal healthcare services and their equity, using health and demographic surveillance site data in eastern Uganda.MethodsBetween Nov 2018 and Feb 2019, 638 resident women giving birth in 2017 were surveyed. Among them, 386 were randomly sampled in a follow-up survey (Feb 2019) on pregnancy and delivery payments and contents of care. Service coverage (antenatal care visits, skilled birth attendance, institutional delivery and one postnatal visit), effective coverage (antenatal and postnatal care content) and financial coverage (out-of-pocket payments for antenatal and delivery care and health insurance coverage) were measured, stratified by socio-economic status, education level and place of residence.ResultsCoverage of skilled birth attendance and institutional delivery was both high (88%), while coverage of postnatal visit was low (51%). Effective antenatal care was lower than effective postnatal care (38% vs 76%). Financial coverage was low: 91% of women made out-of-pocket payments for delivery services. Equity analysis showed coverage of institutional delivery was higher for wealthier and peri-urban women and these women made higher out-of-pocket payments. In contrast, coverage of a postnatal visit was higher for rural women and poorest women.ConclusionMaternal health coverage in eastern Uganda is not universal and particularly low for postnatal visit, effective antenatal care and financial coverage. Analysing healthcare payments and quality by healthcare provider sector is potential future research.

Accessibility to urban facilities and public services is nowadays one of the key factors that impacts the quality of urban live. That being said, accessibility is a complex concept, which although in common use, has a range of meanings, and measuring it raises numerous methodological problems. For instance, accessibility is closely related to the concept of distance, but as a society evolves, other factors such as travel time, economic cost, different transport options, interest or attraction of the destination come into play, as well as the personal preference of each individual. Several methods for measuring accessibility are recognized among researchers and urban planning professionals. They can be classified into several categories, such as spatial separation measures, cumulative-opportunity measures, gravity measures, utility measures and time-space measures. In this study, the physical distance between urban residents and urban facilities and public services is measured. This can be done by measuring distance in three ways: Euclidean, Manhattan, and Network. The distance from the cadastral built plots (origin) to different urban facilities and public services (destination) is calculated. Destinations include educational centres, sports facilities, transportation system stops, libraries, health centres, hospitals, chemist?s shop and green areas. The three results are compared to identify and quantify correlations. Depending on the method used to calculate the distance between a give origin and destination, there may be a population underestimation or overestimation, which needs to be assessed. The data were obtained from a range of sources: National Institute of Statistics to obtain the number of residents; Cadastral online registry to access data on the location of buildings; and the National Geographic Institute and the Valencian Cartographic Institute to locate urban facilities and public services. The main results show different correlations between the three types of distances. Euclidean distances overestimate the population compared to Network and Manhattan distances. Network and Manhattan distances offer similar results but the Network distance is much accurate and represents much better the real distance.