OBJECTIVE: This study estimated the healthcare cost savings for the government due to the prevention of gastroenteritis (GE) infections and lower respiratory tract infections (LRTI) in the first year of life, attributed to an increase in the exclusive breastfeeding rate at 4 months in Hong Kong.
METHODS: The model used the best available data inputs, with uncertainty considered using probabilistic sensitivity analysis. We additionally assessed the impact of neonatal jaundice (NNJ) on the economic benefits of increasing exclusive breastfeeding rates.
RESULTS: During 2010-2019, five admissions for GE and three admissions for LRTI per 1000 births would have been prevented in the first year of life if the exclusive breastfeeding rate at 4 months increased from the actual levels (~15-30%) to 50%, resulting in annual healthcare cost savings of USD1.05 (95% CI 1.03-1.07) million/year. The cost saving would reach USD1.89 (95% CI 1.86-1.92) million/year if the exclusive breastfeeding rate at 4 months increase to 70%. However, if higher NNJ admissions during 7-90 days related to more exclusive breastfeeding are considered, the cost saving would reduce by 60%.
CONCLUSIONS: Our findings can guide policymakers in allocating budget and resources for breastfeeding promotion in Hong Kong. The prevention of unnecessary NNJ admissions would maximise the economic benefits of exclusive breastfeeding at 4 months.

Little is known about the impacts of specific chemical components on cardiovascular hospitalizations. We examined the relationships of PM2.5 chemical composition and daily hospitalizations for cardiovascular disease in 184 Chinese cities. Acute PM2.5 chemical composition exposures were linked to higher cardiovascular disease hospitalizations on the same day and the percentage change of cardiovascular admission was the highest at 1.76% (95% CI, 1.36-2.16%) per interquartile range increase in BC, followed by 1.07% (0.72-1.43%) for SO42-, 1.04% (0.63-1.46%) for NH4+, 0.99% (0.55-1.43%) for NO3-, 0.83% (0.50-1.17%) for OM, and 0.80% (0.34%-1.26%) for Cl-. Similar findings were observed for all cause-specific major cardiovascular diseases, except for heart rhythm disturbances. Short-term exposures to PM2.5 chemical composition were related to higher admissions and showed diverse impacts on major cardiovascular diseases.

Apparent temperature (AT) is a composite index that combines ambient temperature, humidity, wind speed and other meteorological factors, and reflects heat perception more accurately than raw temperature. This is the first study to investigate the association between AT and CVD in rural areas of Jiuquan and Longnan, Gansu Province, China. In this study, the distributed lag nonlinear model (DLNM) was used to examine the exposure-response relationship between AT and the 21 days relative risk (RR) of CVD admission. The results showed that the exposure risk of the gender group in Jiuquan was opposite to that of Longnan under the influence of cold effect. Under the influence of heat effect, it has a protective effect on all groups in Jiuquan area, which is harmful to males and adults in Longnan area. The results of this study can help local governments to formulate public policies.

Ambient particulate matter (PM) pollution is a leading environmental health threat worldwide. PM with an aerodynamic diameter ≤ 1.0 μm, also known as PM1, has been implicated in the morbidity and mortality of several cardiorespiratory and cerebrovascular diseases. However, previous studies have mostly focused on analyzing fine PM (PM2.5) associated with disease metrics, such as emergency department visits and mortality, rather than ultrafine PM, including PM1. This study aimed to evaluate the association between short-term PM1 exposure and hospital admissions (HAs) for all-cause diseases, chronic obstructive pulmonary disease (COPD), and respiratory infections (RIs), as well as the associated expenditures, using Beijing as a case study. Here, based on air pollution and hospital admission data in Beijing from 2015 to 2017, we performed a time-series analysis and meta-analysis. It was found that a 10 μg/m3 increase in the PM1 concentration significantly increased all-cause disease HAs by 0.07% (95% Confidence Interval (CI): [0, 0.14%]) in Beijing between 2015 and 2017, while the COPD and RI-related HAs were not significantly associated with short-term PM1 exposure. Meanwhile, we estimated the attributable number of HAs and hospital expenditures related to all-cause diseases. This study revealed that an average of 6644 (95% CI: [351, 12,917]) cases of HAs were attributable to ambient PM1, which was estimated to be associated with a 106 million CNY increase in hospital expenditure annually (95% CI: [5.6, 207]), accounting for 0.32% (95% CI: [0.02, 0.62%]) of the annual total expenses. The findings reported here highlight the underlying impact of ambient PM pollution on health risks and economic burden to society and indicate the need for further policy actions on public health.

BACKGROUND: The contemporary model for managing heart failure has been extended to a patient-family caregiver dyadic context. However, the key characteristics of the model that can optimise health outcomes for both patients and caregivers remain to be investigated.
OBJECTIVE: This study aimed to identify the effects of dyadic care interventions on the behavioural, health, and health-service utilisation outcomes of patients with heart failure and their family caregivers and to explore how the intervention design characteristics influence these outcomes.
METHODS: This study involved systematic review, meta-analysis, and meta-regression techniques.
METHODS: We performed a systematic review and meta-analysis, using 12 databases to identify randomised controlled trials or quasi-experimental studies published in English or Chinese between database inception and 31 December 2022. The considered interventions included those targeting patients with heart failure and their family caregivers to enhance disease management. Data synthesis was performed on various patient- and caregiver-related outcomes. The identified interventions were categorised according to their design characteristics for subgroup analysis. Meta-regression was performed to explore the relationship between care delivery methods and their effectiveness.
RESULTS: We identified 48 studies representing 9171 patient-caregiver dyads. Meta-analyses suggested the positive effects of dyadic care interventions on patients\' health outcomes [Hedges\' g (95 % confidence interval {CI}): heart failure knowledge = 1.0 (0.26, 1.75), p = 0.008; self-care confidence = 0.45 (0.08, 0.83), p = 0.02; self-care maintenance = 1.12 (0.55, 1.70), p < 0.001; self-care management = 1.01 (0.54, 1.49), p < 0.001; anxiety = -0.18 (-0.34, -0.02), p = 0.03; health-related quality of life = 0.30 (0.08, 0.51), p < 0.001; hospital admission (risk ratio {95 % CI}: hospital admission = 0.79 (0.65, 0.97), p = 0.007; and mortality = 0.58 (0.36, 0.93), p = 0.02)]. Dyadic care interventions also improved the caregivers\' outcomes [Hedges\' g (95 % CI): social support = 0.67 (0.01, 1.32), p = 0.05; perceived burden = -1.43 (-2.27, -0.59), p < 0.001]. Although the design of the identified care interventions was heterogeneous, the core care components included enabling and motivational strategies to improve self-care, measures to promote collaborative coping within the care dyads, and nurse-caregiver collaborative practice. Incorporating the first two core components appeared to enhance the behavioural and health outcomes of the patients, and the addition of the last component reduced readmission. Interventions that engaged both patients and caregivers in care provision, offered access to nurses, and optimised continuity of care led to better patient outcomes.
CONCLUSIONS: These findings demonstrate that dyadic care interventions can effectively improve disease management in a family context, resulting in better health outcomes for both patients and caregivers. Additionally, this study provides important insights into the more-effective design characteristics of these interventions.
BACKGROUND: The review protocol was registered in the PROSPERO International Prospective Register of Systematic Reviews (CRD42022322492).

UNASSIGNED: Reducing avoidable hospital admissions is a global healthcare priority, with optimal primary care recognised as pivotal for achieving this objective. However, in developing systems like China, where primary care is evolving without compulsory gatekeeping, the relationship between patient-perceived primary care quality and hospital utilisation remains underexplored.
UNASSIGNED: This study aimed to explore the association between patient-perceived primary care quality and self-reported hospital utilisation in China.
UNASSIGNED: Data were collected from 16 primary care settings. Patient-perceived quality of primary care was measured using the Assessment Survey of Primary Care scale across six domains (first-contact care, continuity, comprehensiveness, accessibility, coordination, and patient-centredness). Hospital utilisation included patient self-reported outpatient visits, hospital admissions, and emergency department (ED) visits in the last six months. Logistic regression analyses were examined associations between self-reported hospital utilisation and perceived primary care quality adjusted for potential confounders.
UNASSIGNED: Of 1,185 patients recruited, 398 (33.6%) reported hospital utilisation. Logistic regression analyses showed that higher total scores for patient-perceived quality of primary care were associated with decreased odds of hospital utilisation (adjusted odds ratio(AOR): 0.417, 95% confidence interval (CI): 0.308-0.565), outpatient visits (AOR: 0.394, 95% CI: 0.275-0.566) and hospital admissions (AOR: 0.496, 95% CI: 0.276-0.891). However, continuity of care was positively associated with ED visits (AOR: 2.252, 95% CI: 1.051-4.825).
UNASSIGNED: Enhanced patient-perceived quality of primary care in China is associated with a reduction in self-reported overall hospital utilisation, including outpatient visits and hospital admissions. However, better continuity of care may be associated with increased ED visits. Further research is warranted for precise insights and validation of these findings.
Improved patient-perceived primary care quality in China was linked to lower self-reported hospital utilisation, including outpatient visits and hospital admissions.Better primary care accessibility was associated with decreased self-reported emergency department visits and outpatient visits.Continuity of care showed a positive association with emergency department visits, warranting further research.

BACKGROUND: Data on the relationship between short-term exposure to air pollution and cardiovascular diseases (CVDs) and the potential modifying factors are limited and inconsistent.
OBJECTIVE: To explore the relationship between short-term exposure to air pollution and CVD risk, and potential modification effect factors.
METHODS: A time series study was conducted on 52,991 hospital admissions for CVD from 2015 to 2019 in Xiangyang City, China. Air pollution data from four national fixed monitoring stations were collected to estimate exposure level in Xiangyang City. A quasi-Poisson generalized additive model incorporating a distributed lag nonlinear model was applied to evaluate the association between air pollution and CVD risk. The potential modification effect of sex, age, and season on the above associations was also evaluated.
RESULTS: CVD risk was positively associated with air pollution. Peak associations in single lag day structures were observed for particulate matter ≤10 μm in aerodynamic (PM10; RR: 1.040, 95 % CI: 0.996-1.087), PM2.5 (1.025, 1.004-1.045), nitrogen dioxide (NO2; 1.074, 1.039-1.111), and sulfur dioxide (SO2; 1.079, 1.019-1.141) at Lag 0 and ozone (O3; 1.018, 1.004-1.031) at Lag 4. In cumulative lag day structures, the highest RRs were 1.225 (1.079,1.392) for PM10 at Lag 06, 1.054 (1.013, 1.098) for PM2.5 at Lag 03, 1.200 (1.119, 1.287) for NO2 at Lag 04, and 1.135 (1.025, 1.257) for SO2 at Lag 02. Moreover, the association between air pollution and CVD risk was modified by sex and age (P < 0.05). Females and individuals aged ≤65 years were more vulnerable to NO2 and had a higher CVD risk.
CONCLUSIONS: Short-term exposure to air pollution was positively associated with CVD risk. Moreover, sex and age could modify the effect of air pollution on CVD risk. Females and individuals aged ≤65 years had a higher NO2 exposure-induced CVD risk.

Delirium is a common complication in acute stroke patients. A 2011 meta-analysis showed an increased risk of in-hospital mortality and mortality within 12 months post-stroke, longer hospitalization durations, and increased likelihood of being discharged to a nursing home for patients experiencing post-stroke delirium. There is a need for an updated meta-analysis with several new studies having been since published. The PubMed and Scopus databases were screened for relevant studies. Inclusion criteria were as follows: retrospective or prospective studies reporting on the effects of delirium accompanying acute stroke on mortality, functional outcomes, length of hospital stay and need for re-admission. Strength of association was presented as pooled adjusted relative risk (RR) for categorical outcomes and weighted mean difference (WMD) for continuous outcomes. Statistical analysis was done using STATA version 16.0. The meta-analysis included 22 eligible articles. Eighteen of the 22 studies were prospective follow ups. Included studies were of good quality. Post-stroke delirium was associated with increased risk of in-hospital mortality, as well as mortality within 12 months post-stroke. Patients with delirium experienced increased hospital stay durations, were at greater risk for hospital readmission, and showed elevated risk for poor functional outcome. Compared to those who did not have delirium, stroke patients with delirium were 42% less likely to be discharged to home. Acute stroke patients with delirium are at an increased risk for poor short- and long-term outcomes. More research is needed to identify the best set of interventions to manage such patients and improve outcomes.

Climate change affects human health and has been linked to several infectious diseases in recent year. However, there is limited assessment on the impact of heat waves and cold spells on pneumonia risk. This study aims to examine the association of heat waves and cold spells with daily pneumonia hospitalizations in 168 cities in China. Data on pneumonia hospitalizations between 2014 and 2017 were extracted from a national claim database of 280 million beneficiaries. We consider combining temperature intensity and duration to define heat waves and cold spells.This association was quantified using a quasi-Poisson generalized linear model combined with a distributed lag nonlinear model. Exposure-response curves and potential effect modifiers were also estimated. We found that the peak relative risk (RR) of cold spells on daily hospitalizations for pneumonia was observed in relatively mild cold spells with a threshold below the 3 days at the 2nd percentile (RR = 1.69, 95% CI: 1.46-1.92). The risk of heat waves increased with the thresholds, and the greatest risk was found for extremely heatwave period of 4 days at the 98th percentile (RR = 1.69, 95% CI: 1.46-1.92). Heat waves and cold spells are more likely to adversely affect women. In conclusion, our study provided novel and strong evidence that exposure to heat waves and cold spells was associate with increased hospital visits for pneumonia, especially in females. This is the first national study in China to comprehensively evaluate the influence of heat waves and cold spells on pneumonia risk, and the findings may offer valuable insights into the impact of climate change on public health.

With limited evidence on the neurological impact of particulate matter (PM) exposure in China, particularly for PM1 which is smaller but more toxic, we conducted a large Chinese cohort study using causal inference approaches to comprehensively clarify such impact. A total of 36,271 participants in southern China were recruited in 2015 and followed up through 2020. We obtained the neurological hospitalizations records by linking the cohort data to the electronic reports from 418 medical institutions across the study area. By using high-resolution PM concentrations from satellite-based spatiotemporal models and the cohort data, we performed marginal structural Cox models under causal assumptions to assess the potential causal links between time-varying PM exposure and neurological hospitalizations. Our findings indicated that increasing PM1, PM2.5, and PM10 concentrations by 1 μg/m³ were associated with higher overall neurological hospitalization risks, with hazard ratios (HRs) of 1.10 (95% confidence interval (CI) 1.04-1.16), 1.09 (95% CI 1.04-1.14), and 1.03 (95% CI 1.00-1.06), respectively. PM1 appeared to have a stronger effect on neurological hospitalization, with a 1% and 7% higher impact compared to PM2.5 and PM10, respectively. Additionally, each 1-μg/m3 increase in the annual PM1 concentration was associated with an elevated risk of hospitalizations for ischemic stroke (HR: 1.15; 95% CI, 1.06-1.26), which tended to be larger than the estimates for PM2.5 (HR: 1.13, 95% CI, 1.04-1.23) and PM10 (HR: 1.05, 95% CI, 1.00-1.09). Furthermore, never-married or female individuals tended be at a greater risk compared with their counterparts. Our study provides important insights into the health impact of particles, particularly smaller particles, on neurological hospitalization risk and highlights the need for clean-air policies that specifically target these particles.