The heterogeneous effects of China's hierarchical medical system reforms on health service utilisation and health outcomes among elderly populations: a longitudinal quasi-experimental study.

BACKGROUND: System-wide, comprehensive, primary health care (PHC)-oriented health reforms are infrequently introduced in low-income and middle-income countries and often poorly studied. China initiated a large-scale reform in 2015 that included multiple policies: partial gatekeeping, a family physician scheme, and increased system integration. These policies aimed to build a PHC-oriented health system and improve primary care utilisation. This study assessed the heterogeneous effects of the reforms on health service utilisation and health outcomes across regions and over time. METHODS: In this longitudinal quasi-experimental study, we used longitudinal data (2011-18) from a national survey on elderly populations and governmental yearbooks. This study exploits the staggered rollout of the reforms at the city level identified using web-scrapping. We employed an event study design to assess reform effects on (1) visits to PHC facilities, (2) admissions to hospital, (3) out-of-pocket expenditures (OOPEs), and (4) self-reported health. Models were adjusted for city and time fixed effects, along with demographic and socioeconomic characteristics at individual and provincial levels. Analysis was separated into rural and urban populations. FINDINGS: 18 988 Chinese individuals aged 45 and older (mean age 60·4 years [SD 10·3], 9990 [52·6%] women, 8998 [47·4%] men) were included in the analysis. The reform was associated with increasing odds of visiting PHC facilities among rural populations, which became stronger in the 2 years after the reform (adjusted odd ratio [aOR] 1·35, 95% CI 1·02-1·84, p=0·0374; absolute effect sizes [probability] 3%) before it faded. Meanwhile, urban populations were unaffected (from aOR 1·22, 0·82-1·81 to 0·89, 0·50-1·57). The reform did not have a significant effect on admission to hospital (rural: from 0·97, 0·72-1·31 to 1·47, 0·85-2·55; urban: from 1·00, 0·69-1·43 to 1·59, 0·76-3·30) or OOPEs (rural: from 260·32 Chinese Yuan, 95% CI -6·34 to 526·97, to 693·07 Chinese Yuan, -102·96 to 1489·09; urban: from 235·37 Chinese Yuan, -405·10 to 875·83, to 859·93 Chinese Yuan, -199·02 to 1918·88). Urban populations reported higher self-reported health after the reforms than the year before the reforms (1·50, 1·12-2·01, p=0·0002; 5%). INTERPRETATION: System-wide PHC-oriented reforms might contribute to short-term increases in primary care utilisation in elderly populations with implications for urban-rural inequalities. Effects on financial protection and health inequality were limited. Efforts in improving the accessibility and quality of primary care in deprived areas are indispensable to addressing the persistent inverse care law and to achieving Universal Health Coverage for all countries. FUNDING: None.

Improvements in data completeness in health information systems reveal racial inequalities: longitudinal national data from hospital admissions in Brazil 2010-2022.

BACKGROUND: Race and ethnicity are important drivers of health inequalities worldwide. However, the recording of race/ethnicity in data systems is frequently insufficient, particularly in low- and middle-income countries. The aim of this study is to descriptively analyse trends in data completeness in race/color records in hospital admissions and the rates of hospitalizations by various causes for Blacks and Whites individuals. METHODS: We conducted a longitudinal analysis, examining hospital admission data from Brazil's Hospital Information System (SIH) between 2010 and 2022, and analysed trends in reporting completeness and racial inequalities. These hospitalization records were examined based on year, quarter, cause of admission (using International Classification of Diseases (ICD-10) codes), and race/color (categorized as Black, White, or missing). We examined the patterns in hospitalization rates and the prevalence of missing data over a period of time. RESULTS: Over the study period, there was a notable improvement in data completeness regarding race/color in hospital admissions in Brazil. The proportion of missing values on race decreased from 34.7% in 2010 to 21.2% in 2020. As data completeness improved, racial inequalities in hospitalization rates became more evident - across several causes, including assaults, tuberculosis, hypertensive diseases, at-risk hospitalizations during pregnancy and motorcycle accidents. CONCLUSIONS: The study highlights the critical role of data quality in identifying and addressing racial health inequalities. Improved data completeness has revealed previously hidden inequalities in health records, emphasizing the need for comprehensive data collection to inform equitable health policies and interventions. Policymakers working in areas where socioeconomic data reporting (including on race and ethnicity) is suboptimal, should address data completeness to fully understand the scale of health inequalities.

Gender inequalities in violence victimization and depression in Brazil: results from the 2019 national health survey.

BACKGROUND: Violence is a worldwide public health challenge and has been linked to depression in many settings. Depression is higher in women and differential exposure to violence is a potential risk factor - especially in countries with high-levels of violence. This paper provides a comprehensive characterization of the association between violence victimization and depression in Brazil, focusing on sex/gender inequalities. METHODS: We used data from the 2019 wave of the National Health Survey (PNS) in Brazil to assess whether respondents had depression (using PHQ-9) and if they were victims of violence, differentiating by the type of violence, the frequency of victimization, and the primary aggressor. We used logit models to assess the association between victimization and the likelihood of having depression. We predicted probabilities of being depressed, considering the interaction between violence victimization and sex/gender, to analyze the differences between men and women. RESULTS: Rates of violence victimization and depression were higher among women than among men. The odds of being depressed were 3.8 (95%CI: 3.5-4.2) times higher among victims of violence than among non-victims, and 2.3 (95%CI: 2.1-2.6) times higher among women than among men, adjusting for socioeconomic factors. For any given income level, racial/ethnic or age group, victims of violence who were women had the highest predicted probabilities of being depressed - e.g., 29.4% (95%CI: 26.1-32.8) for lower-income women, 28.9% (95%CI: 24.4-33.2) for black women, and 30.4% (95%CI: 25.4-35.4) for younger women that suffered violence. Over one in three women that suffered multiple types of violence, experienced violence more frequently, or where the aggressor was an intimate partner or another family member were predicted to have depression. CONCLUSIONS: Being a victim of violence was strongly associated with higher risk of depression in Brazil, with women more likely to be both victims of violence and develop depression. Frequent, sexual, physical or psychological violence, and intimate partners or family member perpetrators were major risk factors for depression and should be a public health priority.

Primary health care as a platform for addressing racial discrimination to "leave no one behind" and reduce health inequities.

The health inequities faced by populations experiencing racial discrimination, including indigenous peoples and people of African descent, Roma, and other ethnic minorities, are an issue of global concern. Health systems have an important role to play in tackling these health inequities. Health systems based on comprehensive Primary Health Care (PHC) are best placed to tackle health inequities because PHC encompasses a whole-of-society approach to health. PHC includes actions to address the wider social determinants of health, multisectoral policy and action, intercultural and integrated healthcare services, community empowerment, and a focus on addressing health inequities. PHC can also serve as a platform for introducing specific actions to tackle racial discrimination and can act to drive wider societal change for tackling racial and ethnic health inequities.

The relative effects of non-pharmaceutical interventions on wave one Covid-19 mortality: natural experiment in 130 countries.

BACKGROUND: Non-pharmaceutical interventions have been implemented around the world to control Covid-19 transmission. Their general effect on reducing virus transmission is proven, but they can also be negative to mental health and economies, and transmission behaviours can also change voluntarily, without mandated interventions. Their relative impact on Covid-19 attributed mortality, enabling policy selection for maximal benefit with minimal disruption, is not well established due to a lack of definitive methods. METHODS: We examined variations in timing and strictness of nine non-pharmaceutical interventions implemented in 130 countries and recorded by the Oxford COVID-19 Government Response Tracker (OxCGRT): 1) School closing; 2) Workplace closing; 3) Cancelled public events; 4) Restrictions on gatherings; 5) Closing public transport; 6) Stay at home requirements ('Lockdown'); 7) Restrictions on internal movement; 8) International travel controls; 9) Public information campaigns. We used two time periods in the first wave of Covid-19, chosen to limit reverse causality, and fixed country policies to those implemented: i) prior to first Covid-19 death (when policymakers could not possibly be reacting to deaths in their own country); and, ii) 14-days-post first Covid-19 death (when deaths were still low, so reactive policymaking still likely to be minimal). We then examined associations with daily deaths per million in each subsequent 24-day period, which could only be affected by the intervention period, using linear and non-linear multivariable regression models. This method, therefore, exploited the known biological lag between virus transmission (which is what the policies can affect) and mortality for statistical inference. RESULTS: After adjusting, earlier and stricter school (- 1.23 daily deaths per million, 95% CI - 2.20 to - 0.27) and workplace closures (- 0.26, 95% CI - 0.46 to - 0.05) were associated with lower Covid-19 mortality rates. Other interventions were not significantly associated with differences in mortality rates across countries. Findings were robust across multiple statistical approaches. CONCLUSIONS: Focusing on 'compulsory', particularly school closing, not 'voluntary' reduction of social interactions with mandated interventions appears to have been the most effective strategy to mitigate early, wave one, Covid-19 mortality. Within 'compulsory' settings, such as schools and workplaces, less damaging interventions than closing might also be considered in future waves/epidemics.

Implications of armed conflict for maternal and child health: A regression analysis of data from 181 countries for 2000-2019.

BACKGROUND: Armed conflicts have major indirect health impacts in addition to the direct harms from violence. They create enduring political instability, destabilise health systems, and foster negative socioeconomic and environmental conditions-all of which constrain efforts to reduce maternal and child mortality. The detrimental impacts of conflict on global maternal and child health are not robustly quantified. This study assesses the association between conflict and maternal and child health globally. METHODS AND FINDINGS: Data for 181 countries (2000-2019) from the Uppsala Conflict Data Program and World Bank were analysed using panel regression models. Primary outcomes were maternal, under-5, infant, and neonatal mortality rates. Secondary outcomes were delivery by a skilled birth attendant and diphtheria, pertussis, and tetanus (DPT) and measles vaccination coverage. Models were adjusted for 10 confounders, country and year fixed effects, and conflict lagged by 1 year. Further lagged associations up to 10 years post-conflict were tested. The number of excess deaths due to conflict was estimated. Out of 3,718 country-year observations, 522 (14.0%) had minor conflicts and 148 (4.0%) had wars. In adjusted models, conflicts classified as wars were associated with an increase in maternal mortality of 36.9 maternal deaths per 100,000 live births (95% CI 1.9-72.0; 0.3 million excess deaths [95% CI 0.2 million-0.4 million] over the study period), an increase in infant mortality of 2.8 per 1,000 live births (95% CI 0.1-5.5; 2.0 million excess deaths [95% CI 1.6 million-2.5 million]), a decrease in DPT vaccination coverage of 4.9% (95% CI 1.5%-8.3%), and a decrease in measles vaccination coverage of 7.3% (95% CI 2.7%-11.8%). The long-term impacts of war were demonstrated by associated increases in maternal mortality observed for up to 7 years, in under-5 mortality for 3-5 years, in infant mortality for up to 8 years, in DPT vaccination coverage for up to 3 years, and in measles vaccination coverage for up to 2 years. No evidence of association between armed conflict and neonatal mortality or delivery by a skilled birth attendant was found. Study limitations include the ecological study design, which may mask sub-national variation in conflict intensity, and the quality of the underlying data. CONCLUSIONS: Our analysis indicates that armed conflict is associated with substantial and persistent excess maternal and child deaths globally, and with reductions in key measures that indicate reduced availability of organised healthcare. These findings highlight the importance of protecting women and children from the indirect harms of conflict, including those relating to health system deterioration and worsening socioeconomic conditions.

Challenges facing the More Doctors program (Programa Mais Médicos) in vulnerable and peri-urban areas in Greater Brasilia, Brazil.

BACKGROUND: A shortage of physicians, especially in vulnerable and peri-urban areas, is a global phenomenon that has serious implications for health systems, demanding policies to assure the provision and retention of health workers. The aim of this study was to analyze the strategies employed by the More Doctors Program (Programa Mais Médicos) to provide primary care physicians in vulnerable and peri-urban parts of Greater Brasilia. METHODS: The study used a qualitative approach based on the precepts of social constructivism. Forty-nine semi-structured interviews were conducted: 24 with physicians employed as part of the More Doctors program, five with program medical supervisors, seven with secondary care physicians, twelve with primary care coordinators, and one federal administrator. The interviews occurred between March and September 2019. The transcripts of the interviews were submitted to thematic content analysis. RESULTS: The partnership between the Ministry of Health and local authorities was essential for the provision of doctors-especially foreign doctors, most from Cuba, to assist vulnerable population groups previously without access to the health system. There was a notable presence of doctors with experience working with socioeconomically disadvantaged populations, which was important for gaining a better understanding of the effects of the endemic urban violence in the region. The incentives and other institutional support, such as enhanced salaries, training, and housing, transportation, and food allowances, were factors that helped provide a satisfactory working environment. However, the poor state of the infrastructure at some of the primary care units and limitations of the health service as a whole were factors that hampered the provision of comprehensive care, constituting a cause of dissatisfaction. CONCLUSIONS: More Doctors introduced a range of novel strategies that helped ensure a supply of primary care doctors in vulnerable and peri-urban parts of Greater Brasilia. The inclusion of foreign doctors, most from Cuba, was crucial for the success of the health services provided for the local communities, who subsist in violent and socioeconomically deprived urban areas. However, it became clear that barriers from within the health service itself hampered the physicians' capacity to provide a satisfactory service. As such, what is needed for primary care to be effective is not just the recruitment, training, and deployment of doctors, but also investment in the organization of the whole health system.

Brazil's more doctors programme and infant health outcomes: a longitudinal analysis.

BACKGROUND: Providing sufficient numbers of human resources for health is essential for effective and accessible health services. Between 2013 and 2018, the Brazilian Ministry of Health implemented the Programa Mais Médicos (PMM) (More Doctors Programme) to increase the supply of primary care doctors in underserved areas of the country. This study investigated the association between PMM and infant health outcomes and assessed if heterogeneity in the impact of PMM varied by municipal socio-economic factors and health indicators. METHODS: An ecological longitudinal (panel) study design was employed to analyse data from 5565 Brazilian municipalities over a 12-year period between 2007 and 2018. A differences-in-differences approach was implemented using longitudinal fixed effect regression models to compare infant health outcomes in municipalities receiving a PMM doctor with those that did not receive a PMM doctor. The impact of PMM was assessed on aggregate and in municipality subgroups. RESULTS: On aggregate, the PMM was not significantly associated with changes in infant or neonatal mortality, but the PMM was associated with reductions in infant mortality rate (IMR) (of - 0.21; 95% CI: - 0.38, - 0.03) in municipalities with highest IMR prior to the programme's implementation (where (IMR) > 25.2 infant deaths per 1000 live births). The PMM was also associated with an increase in the proportion of expectant mothers receiving seven or more prenatal care visits but only in municipalities with a lower IMR at baseline and high density of non-PMM doctors and community health workers before the PMM. CONCLUSIONS: The PMM was associated with reduced infant mortality in municipalities with the highest infant mortality rate prior to the programme. This suggests effectiveness of the PMM was limited only to the areas of greatest need. New programmes to improve the equitable provision of human resources for health should employ comprehensive targeting approaches balancing health needs and socio-economic factors to maximize effectiveness.

Racial and socioeconomic disparities in multimorbidity and associated healthcare utilisation and outcomes in Brazil: a cross-sectional analysis of three million individuals.

BACKGROUND: Evidence is limited on racial/ethnic group disparities in multimorbidity and associated health outcomes in low- and middle-income countries hampering effective policies and clinical interventions to address health inequalities. METHODS: This study assessed race/ethnic and socioeconomic disparities in the prevalence of multimorbidity and associated healthcare utilisation, costs and death in Rio de Janeiro, Brazil. A cross-sectional analysis was carried out of 3,027,335 individuals registered with primary healthcare (PHC) services. Records included linked data to hospitalisation, mortality, and welfare-claimant (Bolsa Família) records between 1 Jan 2012 and 31 Dec 2016. Logistic and Poisson regression models were carried out to assess the likelihood of multimorbidity (two or more diagnoses out of 53 chronic conditions), PHC use, hospital admissions and mortality from any cause. Interactions were used to assess disparities. RESULTS: In total 13,509,633 healthcare visits were analysed identifying 389,829 multimorbid individuals (13%). In adjusted regression models, multimorbidity was associated with lower education (Adjusted Odds Ratio (AOR): 1.26; 95%CI: 1.23,1.29; compared to higher education), Bolsa Família receipt (AOR: 1.14; 95%CI: 1.13,1.15; compared to non-recipients); and black race/ethnicity (AOR: 1.05; 95%CI: 1.03,1.06; compared to white). Multimorbidity was associated with more hospitalisations (Adjusted Rate Ratio (ARR): 2.75; 95%CI: 2.69,2.81), more PHC visits (ARR: 3.46; 95%CI: 3.44,3.47), and higher likelihood of death (AOR: 1.33; 95%CI: 1.29,1.36). These associations were greater for multimorbid individuals with lower educational attainment (five year probability of death 1.67% (95%CI: 1.61,1.74%) compared to 1.13% (95%CI: 1.02,1.23%) for higher education), individuals of black race/ethnicity (1.48% (95%CI: 1.41,1.55%) compared to 1.35% (95%CI: 1.31,1.40%) for white) and individuals in receipt of welfare (1.89% (95%CI: 1.77,2.00%) compared to 1.35% (95%CI: 1.31,1.38%) for non-recipients). CONCLUSIONS: The prevalence of multimorbidity and associated hospital admissions and mortality are greater in individuals with black race/ethnicity and other deprived socioeconomic groups in Rio de Janeiro. Interventions to better prevent and manage multimorbidity and underlying disparities in low- and middle-income country settings are needed.

The association between a conditional cash transfer programme and malaria incidence: a longitudinal ecological study in the Brazilian Amazon between 2004 and 2015.

BACKGROUND: Malaria causes 400 thousand deaths worldwide annually. In 2018, 25% (187,693) of the total malaria cases in the Americas were in Brazil, with nearly all (99%) Brazilian cases in the Amazon region. The Bolsa Família Programme (BFP) is a conditional cash transfer (CCT) programme launched in 2003 to reduce poverty and has led to improvements in health outcomes. CCT programmes may reduce the burden of malaria by alleviating poverty and by promoting access to healthcare, however this relationship is underexplored. This study investigated the association between BFP coverage and malaria incidence in Brazil. METHODS: A longitudinal panel study was conducted of 807 municipalities in the Brazilian Amazon between 2004 and 2015. Negative binomial regression models adjusted for demographic and socioeconomic covariates and time trends were employed with fixed effects specifications. RESULTS: A one percentage point increase in municipal BFP coverage was associated with a 0.3% decrease in the incidence of malaria (RR = 0.997; 95% CI = 0.994-0.998). The average municipal BFP coverage increased 24 percentage points over the period 2004-2015 corresponding to be a reduction of 7.2% in the malaria incidence. CONCLUSIONS: Higher coverage of the BFP was associated with a reduction in the incidence of malaria. CCT programmes should be encouraged in endemic regions for malaria in order to mitigate the impact of disease and poverty itself in these settings.

Record linkage under suboptimal conditions for data-intensive evaluation of primary care in Rio de Janeiro, Brazil.

BACKGROUND: Linking Brazilian databases demands the development of algorithms and processes to deal with various challenges including the large size of the databases, the low number and poor quality of personal identifiers available to be compared (national security number not mandatory), and some characteristics of Brazilian names that make the linkage process prone to errors. This study aims to describe and evaluate the quality of the processes used to create an individual-linked database for data-intensive research on the impacts on health indicators of the expansion of primary care in Rio de Janeiro City, Brazil. METHODS: We created an individual-level dataset linking social benefits recipients, primary health care, hospital admission and mortality data. The databases were pre-processed, and we adopted a multiple approach strategy combining deterministic and probabilistic record linkage techniques, and an extensive clerical review of the potential matches. Relying on manual review as the gold standard, we estimated the false match (false-positive) proportion of each approach (deterministic, probabilistic, clerical review) and the missed match proportion (false-negative) of the clerical review approach. To assess the sensitivity (recall) to identifying social benefits recipients' deaths, we used their vital status registered on the primary care database as the gold standard. RESULTS: In all linkage processes, the deterministic approach identified most of the matches. However, the proportion of matches identified in each approach varied. The false match proportion was around 1% or less in almost all approaches. The missed match proportion in the clerical review approach of all linkage processes were under 3%. We estimated a recall of 93.6% (95% CI 92.8-94.3) for the linkage between social benefits recipients and mortality data. CONCLUSION: The adoption of a linkage strategy combining pre-processing routines, deterministic, and probabilistic strategies, as well as an extensive clerical review approach minimized linkage errors in the context of suboptimal data quality.

Primary healthcare expansion and mortality in Brazil's urban poor: A cohort analysis of 1.2 million adults.

BACKGROUND: Expanding delivery of primary healthcare to urban poor populations is a priority in many low- and middle-income countries. This remains a key challenge in Brazil despite expansion of the country's internationally recognized Family Health Strategy (FHS) over the past two decades. This study evaluates the impact of an ambitious program to rapidly expand FHS coverage in the city of Rio de Janeiro, Brazil, since 2008. METHODS AND FINDINGS: A cohort of 1,241,351 low-income adults (observed January 2010-December 2016; total person-years 6,498,607) with linked FHS utilization and mortality records was analyzed using flexible parametric survival models. Time-to-death from all-causes and selected causes were estimated for FHS users and nonusers. Models employed inverse probability treatment weighting and regression adjustment (IPTW-RA). The cohort was 61% female (751,895) and had a mean age of 36 years (standard deviation 16.4). Only 18,721 individuals (1.5%) had higher education, whereas 102,899 (8%) had no formal education. Two thirds of individuals (827,250; 67%) were in receipt of conditional cash transfers (Bolsa Família). A total of 34,091 deaths were analyzed, of which 8,765 (26%) were due to cardiovascular disease; 5,777 (17%) were due to neoplasms; 5,683 (17%) were due to external causes; 3,152 (9%) were due to respiratory diseases; and 3,115 (9%) were due to infectious and parasitic diseases. One third of the cohort (467,155; 37.6%) used FHS services. In IPTW-RA survival analysis, an average FHS user had a 44% lower hazard of all-cause mortality (HR: 0.56, 95% CI 0.54-0.59, p < 0.001) and a 5-year risk reduction of 8.3 per 1,000 (95% CI 7.8-8.9, p < 0.001) compared with a non-FHS user. There were greater reductions in the risk of death for FHS users who were black (HR 0.50, 95% CI 0.46-0.54, p < 0.001) or pardo (HR 0.57, 95% CI 0.54-0.60, p < 0.001) compared with white (HR 0.59, 95% CI 0.56-0.63, p < 0.001); had lower educational attainment (HR 0.50, 95% CI 0.46-0.55, p < 0.001) for those with no education compared to no significant association for those with higher education (p = 0.758); or were in receipt of conditional cash transfers (Bolsa Família) (HR 0.51, 95% CI 0.49-0.54, p < 0.001) compared with nonrecipients (HR 0.63, 95% CI 0.60-0.67, p < 0.001). Key limitations in this study are potential unobserved confounding through selection into the program and linkage errors, although analytical approaches have minimized the potential for bias. CONCLUSIONS: FHS utilization in urban poor populations in Brazil was associated with a lower risk of death, with greater reductions among more deprived race/ethnic and socioeconomic groups. Increased investment in primary healthcare is likely to improve health and reduce health inequalities in urban poor populations globally.

Brazil's unified health system: the first 30 years and prospects for the future.

In 1988, the Brazilian Constitution defined health as a universal right and a state responsibility. Progress towards universal health coverage in Brazil has been achieved through a unified health system (Sistema Único de Saúde [SUS]), created in 1990. With successes and setbacks in the implementation of health programmes and the organisation of its health system, Brazil has achieved nearly universal access to health-care services for the population. The trajectory of the development and expansion of the SUS offers valuable lessons on how to scale universal health coverage in a highly unequal country with relatively low resources allocated to health-care services by the government compared with that in middle-income and high-income countries. Analysis of the past 30 years since the inception of the SUS shows that innovations extend beyond the development of new models of care and highlights the importance of establishing political, legal, organisational, and management-related structures, with clearly defined roles for both the federal and local governments in the governance, planning, financing, and provision of health-care services. The expansion of the SUS has allowed Brazil to rapidly address the changing health needs of the population, with dramatic upscaling of health service coverage in just three decades. However, despite its successes, analysis of future scenarios suggests the urgent need to address lingering geographical inequalities, insufficient funding, and suboptimal private sector-public sector collaboration. Fiscal policies implemented in 2016 ushered in austerity measures that, alongside the new environmental, educational, and health policies of the Brazilian government, could reverse the hard-earned achievements of the SUS and threaten its sustainability and ability to fulfil its constitutional mandate of providing health care for all.

Impact of banning smoking in cars with children on exposure to second-hand smoke: a natural experiment in England and Scotland.

England banned smoking in cars carrying children in 2015 and Scotland in 2016. We used survey data from 3 years for both countries (NEngland=3483-6920, NScotland=232-319) to assess effects of the English ban using logistic regression within a difference-in-differences framework. Among children aged 13-15 years, self-reported levels of regular exposure to smoke in cars for Scotland were 3.4% in 2012, 2.2% in 2014 and 1.3% in 2016 and for England 6.3%, 5.9% and 1.6%. The ban in England was associated with a -4.1% (95% CI -4.9% to -3.3%) absolute reduction (72% relative reduction) in exposure to tobacco smoke among children.

Estimating indirect mortality impacts of armed conflict in civilian populations: panel regression analyses of 193 countries, 1990-2017.

BACKGROUND: Armed conflict can indirectly affect population health through detrimental impacts on political and social institutions and destruction of infrastructure. This study aimed to quantify indirect mortality impacts of armed conflict in civilian populations globally and explore differential effects by armed conflict characteristics and population groups. METHODS: We included 193 countries between 1990 and 2017 and constructed fixed effects panel regression models using data from the Uppsala Conflict Data Program and Global Burden of Disease study. Mortality rates were corrected to exclude battle-related deaths. We assessed separately four different armed conflict variables (capturing binary, continuous, categorical, and quintile exposures) and ran models by cause-specific mortality stratified by age groups and sex. Post-estimation analyses calculated the number of civilian deaths. RESULTS: We identified 1118 unique armed conflicts. Armed conflict was associated with increases in civilian mortality-driven by conflicts categorised as wars. Wars were associated with an increase in age-standardised all-cause mortality of 81.5 per 100,000 population (ß 81.5, 95% CI 14.3-148.8) in adjusted models contributing 29.4 million civilian deaths (95% CI 22.1-36.6) globally over the study period. Mortality rates from communicable, maternal, neonatal, and nutritional diseases (ß 51.3, 95% CI 2.6-99.9); non-communicable diseases (ß 22.7, 95% CI 0.2-45.2); and injuries (ß 7.6, 95% CI 3.4-11.7) associated with war increased, contributing 21.0 million (95% CI 16.3-25.6), 6.0 million (95% CI 4.1-8.0), and 2.4 million deaths (95% CI 1.7-3.1) respectively. War-associated increases in all-cause and cause-specific mortality were found across all age groups and both genders, but children aged 0-5 years had the largest relative increases in mortality. CONCLUSIONS: Armed conflict, particularly war, is associated with a substantial indirect mortality impact among civilians globally with children most severely burdened.

Smoke-free legislation and neonatal and infant mortality in Brazil: longitudinal quasi-experimental study.

OBJECTIVE: To examine the associations of partial and comprehensive smoke-free legislation with neonatal and infant mortality in Brazil using a quasi-experimental study design. DESIGN: Monthly longitudinal (panel) ecological study from January 2000 to December 2016. SETTING: All Brazilian municipalities (n=5565). PARTICIPANTS: Infant populations. INTERVENTION: Smoke-free legislation in effect in each municipality and month. Legislation was encoded as basic (allowing smoking areas), partial (segregated smoking rooms) or comprehensive (no smoking in public buildings). Associations were quantified by immediate step and longer term slope/trend changes in outcomes. STATISTICAL ANALYSES: Municipal-level linear fixed-effects regression models. MAIN OUTCOMES MEASURES: Infant and neonatal mortality. RESULTS: Implementation of partial smoke-free legislation was associated with a -3.3 % (95% CI -6.2% to -0.4%) step reduction in the municipal infant mortality rate, but no step change in neonatal mortality. Comprehensive smoke-free legislation implementation was associated with -5.2 % (95% CI -8.3% to -2.1%) and -3.4 % (95% CI -6.7% to -0.1%) step reductions in infant and neonatal mortality, respectively, and a -0.36 (95% CI -0.66 to-0.06) annual decline in the infant mortality rate. We estimated that had all smoke-free legislation introduced since 2004 been comprehensive, an additional 10 091 infant deaths (95% CI 1196 to 21 761) could have been averted. CONCLUSIONS: Strengthening smoke-free legislation in Brazil is associated with improvements in infant health outcomes-particularly under comprehensive legislation. Governments should accelerate implementation of comprehensive smoke-free legislation to protect infant health and achieve the United Nation's Sustainable Development Goal three.

Impact of the Programa Mais médicos (more doctors Programme) on primary care doctor supply and amenable mortality: quasi-experimental study of 5565 Brazilian municipalities.

BACKGROUND: Investing in human resources for health (HRH) is vital for achieving universal health care and the Sustainable Development Goals. The Programa Mais Médicos (PMM) (More Doctors Programme) provided 17,000 doctors, predominantly from Cuba, to work in Brazilian primary care. This study assesses whether PMM doctor allocation to municipalities was consistent with programme criteria and associated impacts on amenable mortality. METHODS: Difference-in-differences regression analysis, exploiting variation in PMM introduction across 5565 municipalities over the period 2008-2017, was employed to examine programme impacts on doctor density and mortality amenable to healthcare. Heterogeneity in effects was explored with respect to doctor allocation criteria and municipal doctor density prior to PMM introduction. RESULTS: After starting in 2013, PMM was associated with an increase in PMM-contracted primary care doctors of 15.1 per 100,000 population. However, largescale substitution of existing primary care doctors resulting in a net increase of only 5.7 per 100,000. Increases in both PMM and total primary care doctors were lower in priority municipalities due to lower allocation of PMM doctors and greater substitution effects. The PMM led to amenable mortality reductions of - 1.06 per 100,000 (95%CI: - 1.78 to - 0.34) annually - with greater benefits in municipalities prioritised for doctor allocation and where doctor density was low before programme implementation. CONCLUSIONS: PMM potential health benefits were undermined due to widespread allocation of doctors to non-priority areas and local substitution effects. Policies seeking to strengthen HRH should develop and implement needs-based criteria for resource allocation.

Associations of Public Transportation Use With Cardiometabolic Health: A Systematic Review and Meta-Analysis.

Public transportation provides an opportunity to incorporate physical activity into journeys, but potential health impacts have not been systematically examined. We searched the literature for articles on public transportation and health published through December 2017 using Google (Google Inc., Mountain View, California), 5 medical databases, and 1 transportation-related database. We identified longitudinal studies which examined associations between public transportation and cardiometabolic health (including adiposity, type 2 diabetes mellitus, and cardiovascular disease). We assessed study quality using the Newcastle-Ottawa Scale for cohort studies and performed meta-analyses where possible. Ten studies were identified, 7 investigating use of public transportation and 3 examining proximity to public transportation. Seven studies used individual-level data on changes in body mass index (BMI; weight (kg)/height (m)2), with objective outcomes being measured in 6 studies. Study follow-up ranged from 1 year to 10 years, and 3 studies adjusted for nontransportation physical activity. We found a consistent association between use of public transportation and lower BMI. Meta-analysis of data from 5 comparable studies found that switching from automobile use to public transportation was associated with lower BMI (-0.30 units, 95% confidence interval: -0.47, -0.14). Few studies have investigated associations between public transportation use and nonadiposity outcomes. These findings suggest that sustainable urban design which promotes public transportation use may produce modest reductions in population BMI.

Revisiting Alma-Ata: what is the role of primary health care in achieving the Sustainable Development Goals?

The Sustainable Development Goals (SDGs) are now steering the global health and development agendas. Notably, the SDGs contain no mention of primary health care, reflecting the disappointing implementation of the Alma-Ata declaration of 1978 over the past four decades. The draft Astana declaration (Alma-Ata 2·0), released in June, 2018, restates the key principles of primary health care and renews these as driving forces for achieving the SDGs, emphasising universal health coverage. We use accumulating evidence to show that countries that reoriente their health systems towards primary care are better placed to achieve the SDGs than those with hospital-focused systems or low investment in health. We then argue that an even bolder approach, which fully embraces the Alma-Ata vision of primary health care, could deliver substantially greater SDG progress, by addressing the wider determinants of health, promoting equity and social justice throughout society, empowering communities, and being a catalyst for advancing and amplifying universal health coverage and synergies among SDGs.

Mortality associated with alternative primary healthcare policies: a nationwide microsimulation modelling study in Brazil.

BACKGROUND: Brazil's Estratégia Saúde da Família (ESF) is one of the largest and most robustly evaluated primary healthcare programmes of the world, but it could be affected by fiscal austerity measures and by the possible end of the Mais Médicos programme (MMP)-a major intervention to increase primary care doctors in underserved areas. We forecast the impact of alternative scenarios of ESF coverage changes on under-70 mortality from ambulatory care-sensitive conditions (ACSCs) until 2030, the date for achievement of the Sustainable Development Goals (SDGs). METHOD: A synthetic cohort of 5507 Brazilian municipalities was created for the period 2017-2030. A municipal-level microsimulation model was developed and validated using longitudinal data and estimates from a previous retrospective study evaluating the effects of municipal ESF coverage on mortality rates. Reductions in ESF coverage, and its effects on ACSC mortality, were forecast based on two probable austerity scenarios, compared with the maintenance of the current coverage or the expansion to 100%. Fixed effects longitudinal regression models were employed to account for secular trends, demographic and socioeconomic changes, healthcare-related variables, and programme duration effects. RESULTS: Under austerity scenarios of decreasing ESF coverage with and without the MMP termination, mean ACSC mortality rates would be 8.60% (95% CI 7.03-10.21%; 48,546 excess premature/under-70 deaths along 2017-2030) and 5.80% (95% CI 4.23-7.35%; 27,685 excess premature deaths) higher respectively in 2030 compared to maintaining the current ESF coverage. Comparing decreasing ESF coverage and MMP termination with achieving 100% ESF coverage (Universal Health Coverage scenario) in 2030, mortality rates would be 11.12% higher (95% CI 9.47-12.76%; 83,937 premature deaths). Reductions in ESF coverage would have stronger effects on mortality from infectious diseases and nutritional deficiencies and would disproportionately impact poorer municipalities, with the concentration index for ACSC mortality 11.77% higher (95% CI 0.31-22.32%) and also ending historical declines in racial health inequalities between white and black/pardo Brazilians. CONCLUSIONS: Reductions in primary healthcare coverage due to austerity measures are likely to be responsible for many avoidable deaths and may preclude achievement of SDGs for health and inequality in Brazil and in other low- and middle-income countries.