Journal of Global Health最新文献

Background: The aim of the present study was to investigate the willingness of elderly individuals regarding their choice of elderly care modes in underdeveloped regions of Western China and to identify the key factors influencing the willingness.

Methods: We distributed a total of 20 000 questionnaires using the multistage stratified cluster random sampling method, and successfully collected 19 460 of them. After conducting quality checks, we deemed 19 040 questionnaires valid for analysis. The survey covered seven cities, 24 counties, and 255 villages in Gansu Province. We conducted statistical analyses, including univariate χ² test, Kruskal-Wallis test and multivariate logistic regression, to assess the willingness of elderly individuals regarding care modes and the factors influencing these choices.

Results: Among the 19 040 valid responses, 88.55% preferred home care, 5.01% opted for community care, 5.01% chose institutional care, 1.08% preferred mutual care, and 0.36% selected smart care. Elderly individuals who have a lower level of education, residence within a 15-minute walking distance to the nearest health care facility, and believe that elder care should rely on themselves or their children, etc. exhibit a higher willingness for choosing the home care mode (P < 0.05). Elderly individuals who believe that elderly care should be reliant on their children, and possess a greater knowledge for the combination of medical and elderly care, etc. exhibit a stronger willingness for choosing the community care (P < 0.05). Elderly individuals with lower educational level and lack endowment insurance, etc. exhibit a higher willingness for choosing the mutual care (P < 0.05). Elderly individuals who are not afflicted with chronic illnesses and reside within a 15-minute distance from the nearest medical centre exhibit a higher willingness for choosing the smart care mode (P < 0.05).

Conclusions: In underdeveloped regions in China, home care continues to be the predominant choice among elderly individuals. However, the growing demand for diverse elderly care modes warrants attention. Multiple factors influence the willingness of elderly individuals when selecting care modes. This study offers valuable insights for policymakers, enabling government departments to implement targeted strategies and interventions to meet the diverse service needs of the elderly population effectively.

Background: The implementation of non-pharmaceutical interventions (NPIs) during the COVID-19 pandemic may inadvertently influence the epidemiology of tuberculosis (TB). (TB). However, few studies have explored how NPIs impact the long-term epidemiological trends of TB. We aimed to estimate the impact of NPIs implemented against COVID-19 on the medium- and long-term TB epidemics and to forecast the epidemiological trend of TB in Henan.

Methods: We first collected monthly TB case data from January 2013 to September 2022, after which we used the data from January 2013 to December 2021 as a training data set to fit the Bayesian structural time series (BSTS) model and the remaining data as a testing data set to validate the model's predictive accuracy. We then conducted an intervention analysis using the BSTS model to evaluate the impact of the COVID-19 pandemic on TB epidemics and to project trends for the upcoming years.

Results: A total of 590 455 TB cases were notified from January 2013 to September 2022, resulting in an annual incidence rate of 57.4 cases per 100 000 population, with a monthly average of 5047 cases (5.35 cases per 100 000 population). The trend in TB incidence showed a significant decrease during the study period, with an annual average percentage change of -7.3% (95% confidence interval (CI) = -8.4, -6.1). The BSTS model indicated an average monthly reduction of 25% (95% CI = 17, 32) in TB case notifications from January 2020 to December 2021 due to COVID-19 (probability of causal effect = 99.80%, P = 0.002). The mean absolute percentage error in the forecast set was 14.86%, indicating relatively high predictive accuracy of the model. Furthermore, TB cases were projected to total 43 584 (95% CI = 29 471, 57 291) from October 2022 to December 2023, indicating a continued downward trend.

Conclusions: COVID-19 has had medium- and long-term impacts on TB epidemics, while the overall trend of TB incidence in Henan is generally declining. The BSTS model can be an effective option for accurately predicting the epidemic patterns of TB, and its results can provide valuable technical support for the development of prevention and control strategies.

Background: Programmatic interventions to increase the detection of children with tuberculosis (TB) are rarely evaluated to understand age- and sex-specific completion rates. We applied modified TB screening and treatment cascade frameworks to assess indicators of effective implementation by age and sex of a TB screening program for children (zero to 14 years) in Bangladesh.

Methods: We implemented an intensified screening program for paediatric TB detection in 119 health care facilities (2018-21). We followed systematic verbal screening by referral for full evaluation for children who reported symptoms or contact history with a patient with TB. Further, we linked children to treatment if diagnosed and followed for outcomes. We calculated the percentage of children, by age and sex, progressing through each step of the care cascade and compared the frequency of step completion by sex using χ² tests.

Results: In total, we screened 552 182 males and 461 419 females for TB. 2.8% of males and 2.6% of females screened positive (P < 0.001). 74.2% of males and 73.9% of females underwent appropriate evaluation (P = 0.560). 10.3% of males and 11.5% of females were diagnosed with TB (P = 0.008). 100% of children initiated treatment, and 97.6% of males and 97.1% of females achieved a successful treatment outcome (P = 0.428). The percent of children screening positive on verbal screen, who were clinically evaluated for TB, and who were diagnosed with TB generally increased with age, with some variability throughout (ranges: 1.2-9.1%, 59.8-88.5%, 6.5-21.9%, respectively).

Conclusions: The largest gap observed for both sexes and among all ages was children who were not appropriately evaluated for TB despite screening positive. In our research, we highlight the value of identifying gaps in paediatric TB care to inform innovative, age- and sex-tailored interventions to improve future care in children.

While maternal mortality decreased during the Millennium Development Goals era, it remains unacceptably high, with stagnation in reductions possible due to shocks such as COVID-19. Most women in low- and middle-income countries already receive antenatal care and over half give birth in health facilities. In cities, use of health facilities for childbirth is near universal (>90%). Cities present complex challenges in ensuring pregnant women receive equitable, high-quality care. The UrbanBirth Collective is a portfolio of projects in sub-Saharan African cities seeking to address an important knowledge gap: how to adapt urban healthcare systems and lived environments to improve maternal and perinatal well-being? Its key focus is care during labour, childbirth, and the early postnatal period, when most poor maternal and perinatal outcomes occur. Our starting projects focus on harnessing open source data to examine and compare cities on the continent, including in-depth case studies of three cities: Grand Conakry (Guinea), Grand Nokoué metropolitan area (Benin), and Lubumbashi (Democratic Republic of the Congo), where we will capture and analyse three main dimensions of the dynamics: maternal health service provision; maternal healthcare use by women; and the complex, nonlinear interactions between the provision and use of care within the spatial, social, and political ecosystem of a city. By comparing these three cities, we shall propose a generalisable model which can be validated and applied in other cities in sub-Saharan Africa. The growth of cities demands increasing attention on future-proofing them with the capacity to develop, implement, and continuously adapt a coherent strategy for the provision of equitable maternal and newborn care. Our ambition is to contribute to reaching zero preventable maternal deaths in cities. To achieve these goals through understanding specific contexts and facilitating the adoption and application of research findings and recommendations, we will collaborate closely with local stakeholders, including healthcare workers, community leaders, and policymakers.

Background: Yoghurt is a commonly consumed fermented food recommended by many guidelines. Yoghurt consumption can contribute to the intake of multiple nutrients and reduce the risk of several diseases. However, prospective evidence is limited on the associations between full/low-fat yoghurt consumption and mortality risk. In this prospective cohort study, we aimed to assess the dose-dependent associations between full/low-fat yoghurt intake and all-cause or cause-specific mortality.

Methods: We enrolled 186 168 participants from the UK Biobank who had joined the study between 2006 and 2010 and were followed up until 2022. We obtained data on self-reported intake of full/low-fat yoghurt and mortality from all causes and specific causes of death, including cancers and cardiovascular diseases (CVDs). We then used Cox proportional hazard models to calculate the hazard ratio (HR) and 95% confidence interval (CI) to evaluate the associations between full-fat and low-fat yoghurt intake and mortality. Lastly, we conducted subgroup and sensitivity analyses to examine the robustness of our findings.

Results: A total of 9402 deaths occurred during a mean follow-up of 13.4 years, including 1687 CVD-related and 5073 cancer-related deaths. Relative to non-consumers, the HRs (95% CIs) for all-cause mortality risk in participants consuming >0-50, 50-100, and >100 g of full-fat yoghurt a day were 0.82 (95% CI = 0.72, 0.93), 0.97 (95% CI = 0.86, 1.09), and 0.96 (95% CI = 0.84, 1.1) respectively. The corresponding HR estimates relative to non-consumers for participants consuming low-fat yoghurt were 0.88 (95% CI  = 0.81, 0.95), 0.91 (95% CI = 0.85, 0.98), and 0.95 (95% CI = 0.89, 1.01), respectively. Subgroup analysis indicated women who had moderate consumption of full-fat yoghurt had lower all-cause mortality risk, while men consuming low-fat yoghurt had lower all-cause mortality risk.

Conclusions: Moderate consumption of full-fat and low-fat yoghurt was correlated with decreased all-cause mortality. Future cohort studies are warranted to verify the potential of adopting yoghurt consumption as part of a healthy diet to reduce mortality.

Background: Inequity in healthcare resources has been identified as a global public health priority, yet the geographic variations and temporal trends in distribution and inequity in China remain unclear. We aimed to investigate these variations and temporal trends in healthcare resources and evaluate inequity in healthcare resource allocation in China.

Methods: In this nationwide descriptive study, we used provincial-level data on healthcare infrastructure, human, and service resources from 31 provinces of mainland China, publicly released by the National Health Commission of China between 2010-21. We assessed the spatial autocorrelation of healthcare infrastructure, human, and service resources using Moran's I index, and identified spatial clusters of resource allocation. We evaluated the equity in healthcare resource allocation using the Lorenz curve, Gini coefficient, and Theil index by population and geographic dimensions.

Results: Between 2010-21, the density of healthcare infrastructure and human resources in China increased, with the average stay decreasing from 10.5 to 9.2 days. There were substantial regional disparities, with higher resource density exhibited in eastern regions compared to western regions. Spatial autocorrelation was more pronounced for the density of practising (assistant) physicians (Moran's I = 0.465; P < 0.001), practising physicians (Moran's I = 0.351; P < 0.001), and bed occupancy rate (Moran's I = 0.256; P < 0.001), with significant geographic clusters of resource allocation. Lorenz curves showed that healthcare resource allocation was closer to the absolute equity by population but not geographic dimension, with Gini coefficients indicating severe inequity (>0.6) by geographic dimension compared to perfect equity (<0.2) by population dimension. Intraregional Theil index by population was higher than the inter-regional index, with contribution rates exceeding 60%.

Conclusions: Per capita access to healthcare resources in China has improved, but significant geographic variations and clustering exist, particularly with higher resource density in eastern regions. While resource allocation by population showed better equity than by geographic area, substantial intra-regional disparities highlight the need for targeted strategies to enhance equitable distribution, particularly in the western regions.

Background: Household food insecurity (HFI) and poor dietary diversity (DD) are major public health challenges in Asia, greatly contributing to stunting among children under five. While previous research has focussed primarily on African regions, this systematic review provides novel insights into the association between HFI, DD, and stunting within the Asian context.

Methods: We searched across six major databases for studies published between 2019 and 2023 exploring the association between HFI, DD, and stunting in children under five across Asia. We then extracted their characteristics, evaluation methods, and outcomes related to stunting for analysis.

Results: From 3215 records, 37 met the inclusion criteria. Most studies were from South Asia (n = 22), followed by Southeast Asia (n = 8), with fewer from West (n = 4), East (n = 2), and Central Asia (n = 1), highlighting geographical research gaps. We found high stunting rates among children under five, especially in South and Southeast Asia. Stunting was strongly linked to HFI and poor DD, suggesting that these factors are critical in addressing malnutrition. Socioeconomic factors, maternal education, and access to clean water also influence stunting outcomes.

Conclusions: Current research on HFI, DD, and stunting in Asia shows substantial variation, with the highest stunting rates in South and Southeast Asia. Limited data from Central and East Asia highlights the need for more comprehensive research in these regions. Addressing HFI and improving DD is critical for reducing stunting and achieving global nutrition targets by 2030.

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.