Journal of Global Health最新文献

Background: Prehypertension and hypertension often coexist with non-alcoholic fatty liver disease (NAFLD) during the progression of cardiovascular disease (CVD). International academic liver societies have recently reached a consensus to replace NAFLD with the new term 'steatotic liver disease' (SLD). In this study, we aimed to evaluate the impact of different SLD subtypes on all-cause and CVD mortality in individuals with prehypertension or hypertension.

Methods: We included 6074 adults from the National Health and Nutrition Examination Survey (2003-18). The US fatty liver index was used as the diagnostic criterion for SLD, and participants were classified into no SLD, metabolic dysfunction-associated steatotic liver disease (MASLD), metabolic dysfunction-associated and alcohol-related liver disease (MetALD), and alcohol-related liver disease (ALD). For cases of MASLD, MetALD, and ALD, we further assessed advanced fibrosis using the fibrosis-4 (FIB-4) index. Additionally, we calculated hazard ratios (HRs) and 95% confidence intervals (CIs) using Cox proportional hazards regression models to assess the associations of SLD subtypes and advanced fibrosis with all-cause and CVD mortality.

Results: There were 3505 (57.7%) participants with no SLD, 1284 (21.1%) with MASLD, 777 (12.8%) with MetALD, and 508 (8.4%) with ALD. During a median follow-up period of 8.2 years, the risk of all-cause and CVD mortality progressively increased in participants with MASLD (HR = 1.28; 95% CI = 1.01-1.63 and HR = 1.55; 95% CI = 1.04-2.33, respectively), MetALD (HR = 1.41; 95% CI = 1.05-1.88 and HR = 1.78; 95% CI = 1.10-2.87, respectively), and ALD (HR = 1.83; 95% CI = 1.32-2.53 and HR = 1.80; 95% CI = 1.01-3.19, respectively). Among the individuals with MASLD, MetALD, and ALD, advanced fibrosis was also associated with an increased risk of all-cause and CVD mortality.

Conclusions: Individuals with MASLD, MetALD, and ALD had a higher risk of all-cause and CVD mortality than those without SLD. Therefore, early intervention strategies targeting SLD prevention and management may help individuals with prehypertension and hypertension to improve their long-term health.

Background: China has recently implemented a long-term prescription policy as a component of the family doctor system in order to strengthen chronic disease management. In this study, we evaluated the net policy impact on health care utilisation and costs at community health centres (CHCs) among hypertensive patients.

Methods: The study population included 164 857 hypertensive patients from a provincial capital city in Eastern China, with an average age of 69.93 years in 2014. We collected their health care utilisation and costs from 1 January 2014 to 31 December 2019 from the medical insurance claims database. The long-term prescription policy, implemented in 2018, allows patients registered with family doctors to obtain up to three-month prescriptions. We applied the multi-stage difference-in-differences model to examine the policy's impact, comparing health care utilisation and costs between those eligible and for the long-term prescription policy and those who are not.

Results: The long-term prescription policy significantly reduced hypertensive patients' annual outpatient visits by 2.47 at CHCs and 0.18 at pharmacies, as well as prolonged the interval of prescriptions by 3.10 days at CHCs. It decreased the annual drug costs at pharmacies by 47%, but there was no significant effect on the annual outpatient costs at CHCs. Meanwhile, we did not observe the impact of the long-term prescription policy on patients' annual number of hospitalisations.

Conclusions: The long-term prescription policy mainly affected patients' health care utilisation at CHCs and did facilitate patients with chronic diseases to refill drugs conveniently. The policy impact on patient health outcomes needs to be further observed and more attention should be given to the factors that may influence family doctors' behaviour in delivering the long-term prescription service.

Background: Identifying the modifiable risk factors for childhood mortality using population-attributable fractions (PAFs) estimates can inform public health planning and resource allocation in low- and middle-income countries (LMICs). We estimated PAFs for key population-level modifiable risk factors of neonatal, infant, and under-five mortality in LMICs.

Methods: We used the most recent Demographic and Health Survey data sets (2010-22) from 48 LMICs, encompassing 35 sub-Saharan African countries and 13 countries from South and Southeast Asia (n = 506 989). We used generalised linear latent mixed models to compute odds ratios (ORs), and we calculated the PAFs adjusted for commonality using ORs and prevalence estimates for key modifiable risk factors.

Results: The highest PAFs of neonatal mortality were attributed to delayed initiation of breastfeeding (>1 hour of birth) (PAF = 23.9; 95% confidence interval (CI) = 23.1, 24.8), uncleaned cooking fuel (PAF = 6.2; 95% CI = 6.4, 7.8), infrequent antenatal care (ANC) visits (PAF = 4.3; 95% CI = 3.3, 5.9), maternal lack of formal education (PAF = 3.9; 95% CI = 2.7, 5.3), and mother's lacking two doses of tetanus injections (PAF = 3.0; 95% CI = 1.9, 3.9). These five modifiable risk factors contributed to 41.4% (95% CI = 35.6, 47.0) of neonatal deaths in the 48 LMICs. Similarly, a combination of these five risk factors contributed to 40.5% of infant deaths. Further, delayed initiation of breastfeeding (PAF = 15.8; 95% CI = 15.2, 16.2), unclean cooking fuel (PAF = 9.6; 95% CI = 8.4, 10.7), mothers lacking formal education (PAF = 7.9; 95% CI = 7.0, 8.9), infrequent ANC visits (PAF = 4.0; 95% CI = 3.3, 4.7), and poor toilet facilities (PAF = 3.4; 95% CI = 2.6, 4.3) were attributed to 40.8% (95% CI = 36.4, 45.2) of under-five deaths.

Conclusions: Given the current global economic climate, policymakers should prioritise these modifiable risk factors. Key recommendations include ensuring that women enter pregnancy in optimal health, prioritising the presence of skilled newborn attendants for timely and proper breastfeeding initiation, and enhancing home-based care during the postnatal period and beyond.

Background: While research in multiple countries confirms that primary care functional features significantly improve patient health, China's primary care system differs markedly due to unique structural and contextual factors. This study aims to measure and explore the functional features experienced by patients received family doctor contract service in the past year, evaluating the impacts and pathways of these primary care features on health outcomes.

Methods: We employed a mixed-methods explanatory sequential design. In the quantitative phase, we randomly selected 2118 residents from 12 primary care institutions. The intensity of functional features was assessed using the Person-Centered Primary Care Measure (PCPCM), and their association with levels of EuroQol Visual Analogue Scale (EQ VAS) was evaluated through multilevel modelling. In the qualitative phase, a qualitative description approach was used, conducting 24 focus groups with a total of 85 patients to gather in-depth information about their experiences with functional features and perceived health impacts. Finally, the quantitative and qualitative data were integrated using meta-synthesis and joint display methods to validate, interpret, and expand the results.

Results: The average PCPCM score was 3.65, with subdomain scores ranging from 3.39 to 3.83. Qualitative findings confirmed the quantitative results regarding the intensity and manifestation of features like accessibility, coordination, and relationship-building. However, discrepancies were noted in features such as comprehensiveness, integration, and family and community context. Additionally, two new functional features, 'being appreciated' and 'being cared for,' were identified. The quantitative results also showed that higher PCPCM scores were positively associated with EQ VAS levels (odds ratio (OR) = 1.18; 95% confidence interval (CI) = 1.03-1.35, P < 0.001). Furthermore, qualitative results revealed six key pathways supporting the beneficial effects of local primary care functional features on health maintenance and improvement.

Conclusions: This study demonstrates high functional scores for Shanghai's family doctor services and highlights a positive association between primary care functionality and population health. These features and their health benefits are deeply shaped by the local social and health care context. This confirms the progress of Shanghai's primary care development and underscores the need for further exploration of primary care functional features across China, along with the development of tools tailored to local conditions to better measure and improve primary care quality and health outcomes.

Keywords: primary healthcare; primary care; quality measurement; population health; mixed method research; China.

Background: Mycetoma is a chronic granulomatous disease affecting the skin, subcutaneous tissues, and bones, particularly in tropical and subtropical regions. Sudan, especially its Eastern Sinnar locality, experiences a significant burden due to environmental conditions and limited access to healthcare, while the population's lack of awareness and understanding often leads to delays in diagnosis and treatment.

Methods: We conducted a descriptive cross-sectional, community-based study in Eastern Sinnar, Sudan, to investigate the prevalence, risk factors, and awareness of mycetoma among local residents. Using Cochran's formula, we calculated a required sample size of 400 participants from a total population of 245 201. Then, we randomly selected these participants from five villages chosen through stratified sampling. Data were collected via a validated questionnaire assessing sociodemographic characteristics and mycetoma-related information, a review of medical records to confirm infection types and prevalence, and interviews with the Directorate of the Mycetoma Centre in Sinnar. We used χ² tests for associations in our analysis, with P-values ≤0.05 indicating statistical significance.

Results: The mycetoma prevalence was 5.4%, with males comprising 76.4% of infected cases. However, the difference in infection rates between genders was not statistically significant (P = 0.248). While infection rates were higher among certain occupational groups, such as farmers and shepherds, the association between occupation and mycetoma infection was non-significant (P = 0.107). We also found no significant associations with educational level (P = 0.104) or age (P = 0.514), but did detect significant associations for family history of infection (P < 0.001), animal ownership (P = 0.004), and not wearing shoes during work (P = 0.05). Awareness of mycetoma was relatively high, with 78.3% of respondents acknowledging the disease, though knowledge gaps remained, especially regarding its transmission, with only 36.1% believing it to be transmissible.

Conclusions: The study highlights the need for targeted health education programmes, particularly emphasising protective footwear and safe animal-handling practices. These findings are crucial for informing public health strategies aimed at reducing the burden of mycetoma in endemic regions such as Eastern Sinnar.

Background: Health system and environmental factors play a significant role in achieving the World Health Organization (WHO) End Tuberculosis (TB) targets. However, quantitative measures are scarce or non-existent at a global level. We aimed to measure the progress made towards meeting the global End TB milestones from 2015 to 2020 and identify health system and environmental factors contributing to the success.

Methods: We obtained data from ten different online data repositories and used principal component analysis to create domain-specific health system performance measures. We used radar charts and dumbbell plots to show the country's progress in ending TB with their health systems. Lastly, we used a linear regression model to identify key health systems and environmental predictors of the percent reduction in TB incidence and mortality.

Results: There was a high variation in TB incidence and mortality reduction between countries and WHO regions. Of all countries included, 75 (39.3%) achieved more than a 20% reduction in TB incidence between 2015 and 2020. However, only 31 (16.2%) reached a 35% reduction in TB mortality. The European Region achieved the highest incidence reduction, exceeding the 2020 milestone with a 25% reduction. The African Region also made notable progress, achieving an 18% mortality reduction despite its relatively poor health systems. Health system factors, such as TB financing, TB-specific health service delivery, access to medicine, and governance, were significantly associated with TB mortality reduction between 2015 and 2020. Environmental factors, such as average annual temperature and air particulate matter concentration, were found to have a significant negative effect on TB incidence and mortality reduction.

Conclusions: Weak health systems were identified as major barriers to achieving the End TB milestones in most high-burden countries. Hence, strengthening health systems with a special focus on TB financing, service delivery, and access to medicine in these countries should be prioritised to achieve global TB mortality reduction targets. Countries should follow WHO's air quality guidelines and rapidly reduce carbon dioxide and other greenhouse gas emissions to mitigate the impact of environmental factors.

Background: Abortion-related complications significantly contribute to maternal morbidity and mortality globally. Post-abortion care (PAC) services are essential to safeguarding women's rights by substantially mitigating the health risks associated with abortions - a step which is fundamental to achieving reproductive and maternal health-related Sustainable Development Goals.

Methods: We conducted a secondary analysis of data from the nationally representative Service Provision Assessment (SPA) surveys conducted between 2015 and 2024 across three regions in seven low- and middle-income countries: Afghanistan, Bangladesh, Nepal, the Democratic Republic of Congo (DRC), Ethiopia, Senegal, and Haiti. We included 2951 primary facilities and 473 referral facilities offering normal delivery services. We used PAC signal functions to report capacity to provide basic and comprehensive PAC services in primary and referral facilities, respectively.

Results: Of all primary facilities offering normal delivery services, 50% in Afghanistan, 1% in Bangladesh, 8% in Nepal, 5% in DRC, 34% in Ethiopia, 38% in Senegal, and 19% in Haiti had the capacity to provide basic PAC services. Of the referral facilities, 47% in Afghanistan, 16% in Bangladesh, 50% in Nepal, 52% in DRC, 75% in Ethiopia, 46% in Senegal, and 32% in Haiti had the capacity to provide comprehensive PAC services. Primary facilities in Bangladesh, DRC, and Nepal had critical gaps in referral, ie, effective communication with referral centres and availability of a functional vehicle for emergency transportation. In referral facilities, 74% in Bangladesh and 59% in Nepal had the provision of blood transfusion. In terms of basic PAC services in primary facilities, the capacity of Senegal (from 16% in 2015 to 38% in 2019; P = 0.001) and Haiti (from 12% in 2013 to 19% in 2018; P = 0.007) increased, but the capacity of Bangladesh decreased (from 4% in 2014 to 1% in 2017; P = 0.016) over time.

Conclusions: There are substantial gaps in the capacity to provide basic and comprehensive PAC services in the selected countries. Investing in primary healthcare and improving communication and transportation should be the priority for enhancing basic PAC services, while strengthening referral hospitals to effectively handle emergencies and conduct major surgeries could significantly bolster their capacity to provide comprehensive PAC services.

The emergence of artificial intelligence (AI) in drug discovery represents a transformative development in addressing neglected diseases, particularly in the context of the developing world. Neglected diseases, often overlooked by traditional pharmaceutical research due to limited commercial profitability, pose significant public health challenges in low- and middle-income countries. AI-powered drug discovery offers a promising solution by accelerating the identification of potential drug candidates, optimising the drug development process, and reducing the time and cost associated with bringing new treatments to market. However, while AI shows promise, many of its applications are still in their early stages and require human validation to ensure the accuracy and reliability of predictions. Additionally, AI models are limited by the availability of high-quality data, which is often sparse in regions where neglected diseases are most prevalent. This viewpoint explores the application of AI in drug discovery for neglected diseases, examining its current impact, related ethical considerations, and the broader implications for public health in the developing world. It also highlights the challenges and opportunities presented by AI in this context, emphasising the need for ongoing research, ethical oversight, and collaboration between public health stakeholders to fully realise its potential in transforming global health outcomes.

Background: We aimed to identify the central lifestyle, the most impactful among lifestyle factor clusters; the central health outcome, the most impactful among health outcome clusters; and the bridge lifestyle, the most strongly connected to health outcome clusters, across 29 countries to optimise resource allocation for local holistic health improvements.

Methods: From July 2020 to August 2021, we surveyed 16 461 adults across 29 countries who self-reported changes in 18 lifestyle factors and 13 health outcomes due to the pandemic. Three networks were generated by network analysis for each country: lifestyle, health outcome, and bridge networks. We identified the variables with the highest bridge expected influence as central or bridge variables. Network validation included nonparametric and case-dropping subset bootstrapping, and centrality difference tests confirmed that the central or bridge variables had significantly higher expected influence than other variables within the same network.

Results: Among 87 networks, 75 were validated with correlation-stability coefficients above 0.25. Nine central lifestyle types were identified in 28 countries: cooking at home (in 11 countries), food types in daily meals (in one country), less smoking tobacco (in two countries), less alcohol consumption (in two countries), less duration of sitting (in three countries), less consumption of snacks (in five countries), less sugary drinks (in five countries), having a meal at home (in two countries), taking alternative medicine or natural health products (in one country). Six central health outcomes were noted among 28 countries: social support received (in three countries), physical health (in one country), sleep quality (in four countries), quality of life (in seven countries), less mental burden (in three countries), less emotional distress (in 13 countries). Three bridge lifestyles were identified in 19 countries: food types in daily meals (in one country), cooking at home (in one country), overall amount of exercise (in 17 countries). The centrality difference test showed the central and bridge variables had significantly higher centrality indices than others in their networks (P < 0.05).

Conclusions: In 29 countries, cooking at home, less emotional distress, and overall amount of exercise emerged as common central lifestyle, health outcome, and bridge lifestyle factors, respectively. However, notable regional variations necessitate tailored interventions and resource allocations to effectively address unique local key variables and promote holistic health in each locale. The study's cross-sectional design and self-reported data may limit generalisability, emphasising the need for cautious interpretation and further longitudinal research.

Keywords: global; across-country comparisons; lifestyle; health outcomes; network analysis.