Objective: By studying the Technology-Organization-Environment Framework (TOE), this research explores the impact of various indicators in technology, organization, and environment on the performance of family doctor services during major public health emergencies. It aims to identify the driving paths to improve performance. Methods: A stratified sampling of 34 community health service centers in Shanghai was conducted, using the comprehensive performance score of family doctors as the outcome variable. The Average Internet Medical Service Person-times and the Information Technology Expenditure per Thousand Population were considered as technology-related variables. The Fiscal Allocation per Thousand Population (/1,000), the Family Doctor Team Members per Thousand Population, and the Medical Social Workers and Volunteers per Thousand Population were identified as organization-related variables. The Proportion of Older Adult Population, Fiscal Allocation per Thousand Population, and the number of patient self-education organizations per thousand population were taken as environment-related variables. Fuzzy-set Qualitative Comparative Analysis (fsQCA) was employed to conduct necessity analysis, truth table analysis, and configurational analysis of antecedent conditions, with robustness tests performed by adjusting consistency thresholds and case frequencies. Results: The study found that the performance of family doctor services was influenced by multiple factors, with no single decisive factor. In overall communities, five configurations, including per capita fiscal allocation and community participation, affected performance, explaining 4.2% of the variance. In central urban areas, information technology expenditure and the Proportion of Older Adult Population were core conditions, influencing 27.5% of performance paths. In non-central urban areas, core conditions such as financial support and IT covered 53.9% of data cases. The fsQCA results, which were robustly tested, begin to provide a strong basis for resource allocation and policy formulation. Conclusion: This study begins to fill the gap in research on family doctor service performance during major public health emergencies, exploring the synergistic effects and causal asymmetry among multiple indicators such as technology, organization, and environment from a holistic, or configurational, perspective.

BackgroundThe early diagnosis and intervention of mild cognitive impairment (MCI) patients is expected to delay the progression of AD. Delayed treatment will lead to MCI patients missing the best intervention expectation. At present, the medical help-seeking behavior of this group is not optimistic. This study aimed to explore influencing factors of help-seeking behavior among patients with MCI in China based on the help-seeking behavior model.MethodsTwenty-two patients with MCI were recruited to participate in semi-structured interviews via purposeful sampling with a qualitative, descriptive design. Data were analyzed by qualitative content analysis.ResultsThe study revealed the main influencing factors of help-seeking behavior among MCI patients in China included perceived disease threat, symptom attribution, disease knowledge, use of cognitive compensation strategies, sense of foreseeable burden, social support, economic condition, and accessibility of medical service.ConclusionsThe help-seeking behavior of patients with MCI is affected by multiple factors. There are some key factors in different stages of the help-seeking process. Healthcare providers can utilize these factors to design targeted interventions for promoting early help-seeking of patients with MCI.

The ageing of the population has resulted in an increase in the demand for long-term care services for older people, but with limited resources, its challenges have also been highlighted. Although factors affecting the willingness of older people to engage with long-term care services have been widely reported, however, systematic review has not synthesised the evidence, and its associated factors remain unclear. This systematic review aims to study and synthesise the best available evidence on the potential factors related to the willingness of older people to engage with long-term care services. Eight electronic databases were comprehensively searched from inception to January 2021: the Cochrane Library, PubMed, Web of Science, CINAHL, Wanfang Database, China Knowledge Resource Integrated Database (CNKI), Weipu Database (VIP), and Chinese Biomedical Literature Database (CBM). The original literatures were screened according to selection criteria. Two researchers used 11-item checklist recommended by the Agency for Healthcare Research and Quality to evaluate the quality of the included literatures. And the review used narrative synthesis to integrate factors related to the willingness of older people to engage with long-term care services. In total, 7794 studies were screened and 35 studies were included in this review. Among them, 23 studies were rated as moderate quality and 12 was high quality. Data synthesis identified that age, education, number of children, living arrangements, the relationship with children, primary caregivers, place of residence, social support, household income, medical insurance, activities of daily living ability and spiritual comfort should all be taken into account when establishing the appropriate long-term care service model or formulating relevant policies. However, many factors remain undetermined and require more rigorous original literature support. And multiple areas can be also considered in the future studies, especially psychological factors.