Interventions early in life are the need of the hour when it comes to controlling the rising incidence of communicable and non-communicable diseases (NCDs) globally. WHO has issued guidelines towards health promotional initiatives at schools as a part of Global School Health Initiative, and the Government of India has directed many policies and programs to integrate health deep within the school activities. School Health Promotion is an international need with programmes implementing across continents due to numerous documented benefits, to not just the individuals but to the community and country as a whole. Simple teachings like hand hygiene have shown to reduce the incidence diarrhea by more than 50% amongst children (a major cause of mortality in India), thus raising an urgent need of developing a model for health promotion at schools that is replicable, sustainable, and can be modified to the local needs as well. Though the existent programmes have a few documented challenges, a multisectorial involvement of government agencies, educational boards, and health sector along with the school is the way forward to address those challenges and covert the theory of health promoting schools (HPS) into a well-established fact. It presents a scope for the various established and newly emerging Schools of Public Health in the country to come forward and collaborate with these multiple sectors. These collaborations can be the only way to ensure sustainability and incorporation of health promotion into the core academic structure of schools in a diverse and highly populous country like India.
BACKGROUND: Generics are low-cost alternatives of the existing approved branded drugs. The aim of this work was to study knowledge and perception about generic drugs among the doctors practicing in government and private healthcare sectors. METHODS: A cross-sectional study was conducted with a prevalidated questionnaire. Physicians working in government and private healthcare sectors were asked to fill the survey form after obtaining written informed consent. Descriptive analysis was used. RESULTS: Of 240, 11.6% of primary care physicians could identify all the correct statements regarding generic drugs and 57% physicians agreed or strongly agreed that doctors should prescribe only generic drugs. Substandard quality (24.4%) and less effectiveness (35.6%) of generics was cited major reason for low use. Majority (76.1%) believed that patients will accept substitution of branded with generics but 21% either did not or rarely inform patients regarding generics. Only 11.7% considered generics has low efficacy as compared to branded drugs but majority (57.4%) denied the interchangeability of generics. Majority were aware about the Jan Aushadhi scheme (79.3%) and Indian Medical Council Act (Professional conduct, Etiquette and Ethics) (76.8%). For personal use, 45.6% preferred generics. Around 44% agreed/strongly agreed for pharmacist's right to substitute branded drugs with generics but private practicing physicians opted against it. CONCLUSION: Knowledge and acceptance of generic drugs is still low amongst the doctors. Efforts need to be done increase the awareness and acceptability.
BACKGROUND: Generic drugs are low-cost alternatives to branded drugs. The government of India is encouraging physicians to prescribe the generics to decrease out-of-pocket expenditure of health care. Looking at India's low-prescription on generic drugs, it is crucial to analyze the factors responsible for it. A patient's unawareness may be an important factor; hence, it should be evaluated systematically. OBJECTIVES: This study was designed with the aim of assessing knowledge and perception of generics among patients visiting the outpatient department of primary care physicians at the Patan city of Gujarat. MATERIAL AND METHODS: A trained research associate visited the OPDs of various general practitioners to collect the data. A prevalidated questionnaire was administered to these patients. The data was analyzed with the help of statistical software. Descriptive statistics were used to analyze the data. RESULTS: Among 345 patients, only 33.6% reportedly heard about generics. Of these only a few patients (60%) believed that generics are safe. Those who were not willing to take generics reported efficacy as the major concern. Out of various factors that may affect knowledge of generic drugs, young age (OR = 5.3) and education (Primary (OR = 8.01), Secondary (OR = 6.19), and Higher secondary (OR = 3.07) were statistically significant. CONCLUSION: Awareness about the generic drugs was low among the patients visiting the primary care physician. The young age and primary and secondary education levels were significantly associated with the awareness regarding generics.
BACKGROUND: Government of Rajasthan has undertaken a series of e-Health initiatives, especially under various programs of National Health Mission in the past few years. There is a paucity of studies which document and provide appraisal of these initiatives in Rajasthan. AIM: To document ongoing e-Health Initiatives based on technologies and approaches used, coverage by the region and population, services provided and scope. MATERIALS AND METHODS: Primary data collection in form of key-informant interviews while secondary data collection in form of internet-based search of peer and non-peer reviewed literature was conducted to achieve the study objectives. Appropriate documents, records, and reports were reviewed to ensure that all necessary information was obtained. RESULTS: A total of 13 e-Health initiatives were included in the study. The e-Health programs were classified with the use of WHO's classification of Digital Health Interventions v1.0. Most of the initiatives perceived in the study were found to be beneficial to the community, covering the entire population targeted. Supporting agencies, technologies used, and challenges faced during the implementation were identified and documented. Lack of trained manpower, technical and software glitches and deficiency of awareness activities were few obstacles that were found consistent across all user groups. CONCLUSIONS: The overview from this study augmented the knowledge about further scopes and sustainability of these initiatives. Deploying dedicated professionals may improve the functioning of these initiatives. Since e-Health interventions significantly influence healthcare systems, further scale-up of such studies with appropriate evaluation should be planned to guide policy decisions.
Non-communicable diseases (NCDs) are a global challenge towards diminishing quality of life. Health related quality of life (HRQoL) is a widely accepted measure of burden of disease for individuals with chronic conditions. Due to paucity of data in Western Rajasthan, India, this study was planned to assess the HRQoL due to NCDs in Jodhpur, India. A descriptive cross-sectional study was planned in government NCD center of Jodhpur. Convenience sampling was used to select 398 respondents and socio demographic data was collected. Short Form–36 (SF-36) questionnaire was used to measure perceived effects due to NCDs across eight domains of analyzed using descriptive and inferential statistics. High combined mean scores were obtained in domains of Social Functioning (77.87) and Mental Health (75.36%) and lowest scores for General Health (54.70%), Bodily Pain (60.06%) and Role Emotional (60.33%). Males recorded higher mean scores than females across all domains with high statistical significance for Bodily Pain, Vitality, Role Physical and Mental Health. Findings suggested worst and least affected domains of regular life functions due to NCDs. Greater focus on emotional distress, active inclusion of females in national health programmes and integration of NCD control program with Mental Health Program would aid to improve overall HRQoL in affected individuals.
BACKGROUND: Enough evidence exists to attribute the occurrence of diarrheal disease outbreaks due to open defecation practice and unsafe sanitation methods. Open defecation enables pathogens such as virus, bacteria, and protozoa to infect humans by means of fecal–oral transmission methods through contaminated fluids, water, and fomites. To curb the malefic effects of open defecation, the Indian government had initiated pro sanitation program namely Swachh Bharat Mission (SBM) in 2014. SBM became the world's largest toilet-building initiative. More than 95 million toilets have been built across rural and urban India since the launch of this mission. This articulation summarizes the trend analysis of acute diarrheal disease (ADD) outbreaks over a 9-year period with emphasis on changes due to the building of toilets under the clean India campaign. METHODS: Weekly ADD outbreaks data from national-level Integrated Disease Surveillance Program between 2010 and 2018 were used for trend analysis along with the number of toilets constructed in rural areas under SBM from the year 2014. RESULTS: ADD outbreaks were analyzed from 2010 to 2018. The number of ADD outbreaks per year during the past 2 years (i.e., 2017 and 2018) of SBM regime was lesser than in any year during the investigation period. Seasonal variations during the months of May, June, July, and August account for 55%–60% of ADD outbreaks in any of the years; but for 2018, the total outbreaks were 46%, which is significantly lower than that of regular range of outbreaks in the peak season. CONCLUSION: The recent pattern of ADD outbreaks exhibits a declining rate.
BACKGROUND: E-aushadhi is a drug supply chain management initiative of the Rajasthan government. This study is conducted to assess this e-health program as evidence is lacking in this context METHODS: A mix-method study was conducted. Primary data were recorded from key stakeholders using qualitative interviews. Secondary data were collected from internet-based searches, reports, documents, and available literature. Findings were contextualized into the Benefit-Evaluation framework using six dimensions RESULTS: E-aushadhi provides a systematic approach for sourcing, storing, and re-distribution of essential medicine through its three-tier structure. Its user-friendly dashboard entails accurate entries, customizable reports, and easy tracking. It has reduced workload and improved information management with timely drug supply while allowing monitoring with key performance indicators CONCLUSIONS: E-aushadhi has been successful in improving beneficiary access at public health facilities and may act as a backbone architecture for various digital interventions in the National Digital Health Mission that supports the universal health coverage.
OBJECTIVE: A cost of illness study was conducted with aims to asses various cost of acute stroke care and its determinants among beneficiary (patients enrolled in any social security scheme) and non beneficiary (patients not enrolled in any social security scheme) of various social security schemes. METHOD: A cross-sectional study was conducted at government hospitals in western Rajasthan from March to May 2019. All consecutive stroke patients were enrolled during study period. Data related to socio-demographic, disease-related and cost-related data was collected by direct patient and main caregiver's interview. Primary study outcome was description of direct and indirect cost of acute stroke care among beneficiary and non beneficiary patients. Secondary outcome was description of determinants of cost or significant cost-driven variables. RESULTS: Total of 126 stroke patients were enrolled in 3 months. Mean age was 57.67 ± 15.0 and male: female ratio was 82:44. Both beneficiary and non-beneficiary patients were similar in baseline characteristic except monthly income (P < 0.01) Mean hospital stay was 6.52 ± 2.23 Total out of pocket direct cost among beneficiary was INR 12727.21 [95% C.I. 8658.50, 16795.92] and among non beneficiary was INR 23649.68 [95%C.I. 18591.37, 28707.99]. There was significant difference indirect cost of beneficiary and non-beneficiary patients (P < 0.01). Mean Indirect cost (wages loss) among beneficiary was INR 12414.75 [95% C.I. 9691.13, 15138.37] and among non-beneficiary was INR 16460 [95% C.I. 13044.81, 19875.19]. There was no significant difference in Indirect cost of beneficiary and non-beneficiary patients (P = 0.06). Monthly income, stroke severity (modified Rankin score) and hospital stay were significant direct cost determinants. CONCLUSION: Public health insurance scheme reduces direct cost of acute stroke care significantly. Severity of stroke and prolonged hospital stay were main cost-driven variables.
Objectives "Silicosis" is a leading cause of occupational morbidity globally. In Rajasthan, India silicosis has been recognized as an epidemic, resulting in the development of a new pneumoconiosis policy in 2019. This study was conducted to provide an overview of the policy implementation regarding the detection, prevention, and control of silicosis.
Methods A qualitative study was carried out in the Jodhpur district of Western Rajasthan in which stakeholders were interviewed. Themes were identified regarding prevention, detection, diagnosis, and certification, and organized by stakeholder role. Data were retrieved from the Silicosis Grant Disbursement Portal of the Government of Rajasthan to present an overview of the existing system for detection, prevention, and control of silicosis and to determine the delays in various aspects.
Results A total of 35 stakeholders were interviewed. There was low awareness regarding the prevention, detection, diagnosis, and rehabilitation of silicosis amongst multiple stakeholders. There is a need for robust enforcement in mining units regarding silicosis prevention and screening. Unregistered mining activities and migration of mineworkers are major challenges in the detection of silicosis cases. Misdiagnosis and low notification rates prevent workers from accessing resources. There are myriad reasons for delays in workers receiving diagnosis and benefits, which have systemic roots but can be uprooted through rigorous implementation of the legislative provisions.
Conclusion There are several well-established pieces of legislation to protect the rights of mineworkers; however, there are gaps in the effective implementation of various provisions that require immediate attention to address the challenges faced during the prevention, detection, diagnosis, and rehabilitation of workers with silicosis.
AIMS: The indigenously developed Indian Council of Medical Research (ICMR)-NIV COVID Kavach IgG enzyme linked immunosorbent assay (ELISA) has been recommended for seroprevalence among vulnerable populations in India, which provided essential services throughout the lockdown. The staff working in the High Court was one such group. We compared anti-SARS-CoV-2 IgG seropositivity among the staff of Jodhpur and Jaipur High Courts, Rajasthan, India. METHODS: Asymptomatic judiciary staff of Jodhpur and Jaipur benches of High Courts were enrolled after informed written consent. A questionnaire was filled and 3–5 ml venous blood was collected from participants. The ICMR-NIV COVID Kavach IgG ELISA and EUROIMMUN IgG ELISA were used for detection of Anti-SARS-CoV-2 IgG antibodies. RESULTS: A total of 63 samples (41 from Jodhpur and 22 from Jaipur) were collected between 28(th) July to 4(th) August 2020. The overall anti-SARS-CoV-2 IgG seroprevalence was found to be 6.35%. Seropositivity was higher among the staff from Jaipur (13.64%) as compared to Jodhpur (2.44%). The Kavach ELISA results were in complete agreement with EUROIMMUN ELISA. The infection control measures were deemed effective. CONCLUSION: Seroprevalence among the staff of Jodhpur High Court was found to be lower than Jaipur, reflecting higher susceptibility to COVID-19 in the former. Many offices worldwide are closed till mid 2020 but need to come up with pre-emptive policies eventually. This study may help to anticipate the possible challenges when other government/private offices start functioning. The infection control practices of one workplace may help formulate guidelines for other offices.
BACKGROUND: Asymptomatic carriers are responsible for the consistent spread of coronavirus disease 2019 (COVID-19) in the community. The Government of India has deputed house-to-house survey teams to aid in identifying asymptomatic individuals and their susceptible contacts. We selected door-to-door survey teams of a COVID-19 red zone in western India and determined their infectioncontrol practices and anti-severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) immunoglobin G (IgG) status. MATERIALS AND METHODS: This single-day prospective cross-sectional study was conducted by the Department of Microbiology of a tertiary care hospital of Jodhpur, in collaboration with the Rajasthan State Health Services. Participants were asked to fill out a questionnaire regarding personal protective equipment (PPE) use after written informed consent. Venous blood samples were collected and Kavach enzyme-linked immunosorbent assay (ELISA) (J Mitra and Co.) was performed to determine anti-SARS-CoV-2 IgG status. RESULTS: Out of the total 39 participants, IgG antibody was detected in four. Of them, three reported mild symptoms in the past. Out of two previously real-time polymerase chain reaction (RT-PCR) SARS-CoV-2-positive participants, only one had detectable IgG antibodies (Ab) in serum. Cloth mask was used by 24, N95 mask by 11, and surgical masks by four. CONCLUSION: Anti-SARS-CoV-2 IgG Abs were detected among four members of house-to-house COVID-19 survey teams in Jodhpur. Most of the team members used cloth masks, whereas the Government of India guidelines has recommended triple-layered surgical masks as minimum essential PPE for healthcare workers in India. More such studies should be conducted to ascertain infection prevention and control practices among such vulnerable frontline workers in our country.
High-resolution estimates of HIV burden across space and time provide an important tool for tracking and monitoring the progress of prevention and control efforts and assist with improving the precision and efficiency of targeting efforts. We aimed to assess HIV incidence and HIV mortality for all second-level administrative units across sub-Saharan Africa. ; his work was primarily supported by the Bill & Melinda Gates Foundation (grant OPP1132415). Additionally, O Adetokunboh acknowledges the support of the Department of Science and Innovation, and National Research Foundation of South Africa. M Ausloos, A Pana, and C Herteliu are partially supported by a grant of the Romanian National Authority for Scientific Research and Innovation, Executive Agency for Higher Education, Research, Development and Innovation Funding (Romania; project number PN-III-P4-ID-PCCF-2016-0084). T W Bärnighausen was supported by the Alexander von Humboldt Foundation through the Alexander von Humboldt Professor award, funded by the German Federal Ministry of Education and Research. M J Bockarie is supported by the European and Developing Countries Clinical Trials Partnership. F Carvalho and E Fernandes acknowledge support from Portuguese national funds (Fundação para a Ciência e Tecnologia and Ministério da Ciência, Tecnologia e Ensino Superior; UIDB/50006/2020, UIDB/04378/2020, and UIDP/04378/2020. K Deribe is supported by the Wellcome Trust (grant 201900/Z/16/Z) as part of his International Intermediate Fellowship. B-F Hwang was partially supported by China Medical University (CMU107-Z-04), Taichung, Taiwan. M Jakovljevic acknowledges support of the Serbia Ministry of Education Science and Technological Development (grant OI 175 014). M N Khan acknowledges the support of Jatiya Kabi Kazi Nazrul Islam University, Bangladesh. Y J Kim was supported by the Research Management Centre, Xiamen University Malaysia, Malaysia, (XMUMRF/2020-C6/ITCM/0004). K Krishnan is supported by University Grants Commission Centre of Advanced Study, (CAS II), awarded to the Department of Anthropology, Panjab University, Chandigarh, India. M Kumar would like to acknowledge National Institutes of Health and Fogarty International Cente (K43TW010716). I Landires is a member of the Sistema Nacional de Investigación, which is supported by the Secretaría Nacional de Ciencia, Tecnología e Innovación, Panama. W Mendoza is a program analyst in population and development at the UN Population Fund Country Office in Peru, which does not necessarily endorse this study. M Phetole received institutional support from the Grants, Innovation and Product Development Unit, South African Medical Research Council. O Odukoya acknowledges support from the Fogarty International Center of the US National Institutes of Health (K43TW010704). The content is solely the responsibility of the authors and does not necessarily represent the official views of the US National Institutes of Health. O Oladimeji is grateful for the support from Walter Sisulu University, Eastern Cape, South Africa, the University of Botswana, Botswana, and the University of Technology of Durban, Durban, South Africa. J R Padubidri acknowledges support from Kasturba Medical College, Mangalore, Manipal Academy of Higher Education, India. G C Patton is supported by an Australian Government National Health and Medical Research Council research fellowship. P Rathi acknowledges Kasturba Medical College, Mangalore, Manipal Academy of Higher Education, Manipal India. A I Ribeiro was supported by National Funds through Fundação para a Ciência e Tecnologia, under the programme of Stimulus of Scientific Employment–Individual Support (CEECIND/02386/2018). A M Samy acknowledges the support of the Egyptian Fulbright Mission Program. F Sha was supported by the Shenzhen Social Science Fund (SZ2020C015) and the Shenzhen Science and Technology Program (KQTD20190929172835662). A Sheikh is supported by Health Data Research UK. N Taveira acknowledges partial funding by Fundação para a Ciência e Tecnologia, Portugal, and Aga Khan Development Network—Portugal Collaborative Research Network in Portuguese-speaking countries in Africa (332821690), and by the European and Developing Countries Clinical Trials Partnership (RIA2016MC-1615). C S Wiysonge is supported by the South African Medical Research Council. Y Zhang was supported by the Science and Technology Research Project of Hubei Provincial Department of Education (Q20201104) and Open Fund Project of Hubei Province Key Laboratory of Occupational Hazard Identification and Control (OHIC2020Y01).Editorial note: the Lancet Group takes a neutral position with respect to territorial claims in published maps and institutional affiliations
High-resolution estimates of HIV burden across space and time provide an important tool for tracking and monitoring the progress of prevention and control efforts and assist with improving the precision and efficiency of targeting efforts. We aimed to assess HIV incidence and HIV mortality for all second-level administrative units across sub-Saharan Africa. ; his work was primarily supported by the Bill & Melinda Gates Foundation (grant OPP1132415). Additionally, O Adetokunboh acknowledges the support of the Department of Science and Innovation, and National Research Foundation of South Africa. M Ausloos, A Pana, and C Herteliu are partially supported by a grant of the Romanian National Authority for Scientific Research and Innovation, Executive Agency for Higher Education, Research, Development and Innovation Funding (Romania; project number PN-III-P4-ID-PCCF-2016-0084). T W Bärnighausen was supported by the Alexander von Humboldt Foundation through the Alexander von Humboldt Professor award, funded by the German Federal Ministry of Education and Research. M J Bockarie is supported by the European and Developing Countries Clinical Trials Partnership. F Carvalho and E Fernandes acknowledge support from Portuguese national funds (Fundação para a Ciência e Tecnologia and Ministério da Ciência, Tecnologia e Ensino Superior; UIDB/50006/2020, UIDB/04378/2020, and UIDP/04378/2020. K Deribe is supported by the Wellcome Trust (grant 201900/Z/16/Z) as part of his International Intermediate Fellowship. B-F Hwang was partially supported by China Medical University (CMU107-Z-04), Taichung, Taiwan. M Jakovljevic acknowledges support of the Serbia Ministry of Education Science and Technological Development (grant OI 175 014). M N Khan acknowledges the support of Jatiya Kabi Kazi Nazrul Islam University, Bangladesh. Y J Kim was supported by the Research Management Centre, Xiamen University Malaysia, Malaysia, (XMUMRF/2020-C6/ITCM/0004). K Krishnan is supported by University Grants Commission Centre of Advanced Study, (CAS II), awarded to the Department of Anthropology, Panjab University, Chandigarh, India. M Kumar would like to acknowledge National Institutes of Health and Fogarty International Cente (K43TW010716). I Landires is a member of the Sistema Nacional de Investigación, which is supported by the Secretaría Nacional de Ciencia, Tecnología e Innovación, Panama. W Mendoza is a program analyst in population and development at the UN Population Fund Country Office in Peru, which does not necessarily endorse this study. M Phetole received institutional support from the Grants, Innovation and Product Development Unit, South African Medical Research Council. O Odukoya acknowledges support from the Fogarty International Center of the US National Institutes of Health (K43TW010704). The content is solely the responsibility of the authors and does not necessarily represent the official views of the US National Institutes of Health. O Oladimeji is grateful for the support from Walter Sisulu University, Eastern Cape, South Africa, the University of Botswana, Botswana, and the University of Technology of Durban, Durban, South Africa. J R Padubidri acknowledges support from Kasturba Medical College, Mangalore, Manipal Academy of Higher Education, India. G C Patton is supported by an Australian Government National Health and Medical Research Council research fellowship. P Rathi acknowledges Kasturba Medical College, Mangalore, Manipal Academy of Higher Education, Manipal India. A I Ribeiro was supported by National Funds through Fundação para a Ciência e Tecnologia, under the programme of Stimulus of Scientific Employment–Individual Support (CEECIND/02386/2018). A M Samy acknowledges the support of the Egyptian Fulbright Mission Program. F Sha was supported by the Shenzhen Social Science Fund (SZ2020C015) and the Shenzhen Science and Technology Program (KQTD20190929172835662). A Sheikh is supported by Health Data Research UK. N Taveira acknowledges partial funding by Fundação para a Ciência e Tecnologia, Portugal, and Aga Khan Development Network—Portugal Collaborative Research Network in Portuguese-speaking countries in Africa (332821690), and by the European and Developing Countries Clinical Trials Partnership (RIA2016MC-1615). C S Wiysonge is supported by the South African Medical Research Council. Y Zhang was supported by the Science and Technology Research Project of Hubei Provincial Department of Education (Q20201104) and Open Fund Project of Hubei Province Key Laboratory of Occupational Hazard Identification and Control (OHIC2020Y01).Editorial note: the Lancet Group takes a neutral position with respect to territorial claims in published maps and institutional affiliations
Background The rapid spread of COVID-19 renewed the focus on how health systems across the globe are financed, especially during public health emergencies. Development assistance is an important source of health financing in many low-income countries, yet little is known about how much of this funding was disbursed for COVID-19. We aimed to put development assistance for health for COVID-19 in the context of broader trends in global health financing, and to estimate total health spending from 1995 to 2050 and development assistance for COVID-19 in 2020.
BACKGROUND: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. METHODS: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. FINDINGS: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. INTERPRETATION: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. FUNDING:Bill & Melinda Gates Foundation.
