This study examined urban–rural differences in the association of access to healthcare with self-assessed health and quality of life (QOL) among old adults with chronic diseases (CDs) in China. The data of 5796 older adults (≥60) with self-reported CDs were collected from the Study on Global Ageing and Adult Health in China, including indicators of self-assessed health and QOL and information on access to healthcare. Associations of access to healthcare with self-assessed health and QOL at the 10th, 50th, and 90th conditional quantiles were determined after controlling individual and household factors, showing that urban patients who received healthcare within two weeks gave higher ratings on self-assessed health scores at the 10th and 50th quantiles. In rural areas, one-year and two-week access to healthcare was found to be associated with QOL scores at the 10th and 90th quantiles, respectively. Marginal effects of using needed health service decreased with a growth in QOL and self-assessed health scores in both urban and rural locations despite these effects being significant across the whole distribution. Overall, access to healthcare affects the self-assessed health and QOL of the elderly with CDs in China, especially in patients with poor health, though differently for urban and rural patients. Policy actions targeted at vulnerable and rural populations should give priority to reducing barriers to seeking health services.

This study aimed to determine whether hospital competition is associated with improved in-hospital mortality in Shanxi, China. We included a total of 46,959 hospitalizations for acute myocardial infarction (AMI) and 44,063 hospitalizations for pneumonia from 2015 to 2017. Hospital competition was measured as Herfindahl–Hirschman Index based on the patient predicted flow approach. Two-level random-intercept logistic models were applied to explore the effects of hospital competition on quality for both AMI and pneumonia diagnoses. Hospital competition exerts negative or negligible effects on inpatient quality of care, and the pattern of competition effects on quality varies by specific diseases. While hospital competition is insignificantly correlated with lower AMI in-hospital mortality (odds ratio (OR): 0.94, 95% confidence interval (CI): 0.77–1.11), high hospital competition was, in fact, associated with higher in-hospital mortality for pneumonia patients (OR: 1.99, 95% CI: 1.51–2.64). Our study suggests that simply encouraging hospital competition may not provide effective channels to improve inpatient quality of health care in China’s current health care system.

The aging transformation of digital health services faces issues of how to distinguish influencing factors, redesign services, and effectively promote measures and policies. In this study, in-depth interviews were conducted, and grounded theory applied to open coding, main axis coding, and selective coding to form concepts and categories. Trajectory equifinality modeling clarified the evolution logic of digital transformation. Based on the theory of service ecology, a digital health service aging model was constructed from the “macro–medium–micro” stages and includes governance, service, and technology transformation paths. The macro stage relies on organizational elements to promote the institutionalization of management and guide the transformation of governance for value realization, including the construction of three categories: mechanism, indemnification, and decision-making. The meso stage relies on service elements to promote service design and realize service transformation that is suitable for aging design, including the construction of three categories: organization, resources, and processes. The micro stage relies on technical elements to practice experiencing humanization, including the construction of three categories: target, methods, and evaluation. These results deepen the understanding of the main behaviors and roles of macro-organizational, meso-service, and micro-technical elements in digital transformation practice and have positive significance for health administrative agencies to implement action strategies.

Objectives: The aim of this study was to determine the impact of the Zero Markup drug (ZMD) policy on hospitalization expenses for inpatients in tertiary Chinese hospitals. Methods: Using the administrative data from hospital electronic health records (EHRs) between 2015 and 2017, we implemented the quantile difference-in-differences (QDID) estimators to evaluate the impact of the ZMD policy on hospitalization expenses while controlling for patient-level and hospital-level characteristics. Results: According to the QDID models, the introduction of ZMD policy significantly induced lower drug costs for all inpatients especially at the 50th (-USD 507.84 (SE = USD 90.91), 75th (-USD 844.77 (SE = USD 149.70), and 90th (-USD 1400.00 (SE = USD 209.97)) percentiles of the overall distributions. However, the total hospitalization, diagnostic, treatment, material and services expenses for inpatients were significantly higher for the treated group than the control group. This tendency was more pronounced for inpatients in tertiary hospitals with lower expenses (in the 10th, 25th and 50th percentiles). Conclusion: The implementation of ZMD policy alone may not be enough to change the medical service providers’ profit-driven behavior. The targeted supervision of hospital costs by the Chinese health administration department should be strengthened to avoid unreasonable hospital charges.

During the coronavirus disease 2019 pandemic, the management of nosocomial infections became even more crucial. There is an urgent need to develop a competency model for healthcare practitioners to combat public health emergencies. To determine practitioners' competency in hospital infection prevention and control measures. A theoretical framework was developed based on a literature review, key informant interviews, the Delphi method and a questionnaire survey. These items were evaluated based on response rate, maximum score, minimum score and mean score. Factor analyses, both exploratory and confirmatory, were used to determine the structure of the competency model. The effective response rate for the questionnaire was 88.29%, and Cronbach's α-coefficient was 0.964. Factor analysis revealed a Kaiser–Meyer–Olkin score of 0.945. Bartlett's test gave a χ²-value of 10523.439 (df=435; P<0.001). After exploratory factor analysis, the five-factor model was retained, four items were deleted and a five-dimensional, 26-item scale was obtained. The new structure's confirmatory factor analysis revealed high goodness of fit (comparative fit index=0.921; Tucker–Lewis index=0.911; standardized root mean square residual=0.053; root mean square error of approximation=0.044). The proposed scale is a useful tool to assess the competency of hospital infection prevention and control practitioners, which can help hospitals to improve infection prevention and control.