To analyse trends and characteristics of multidrug-resistant (MDR) bacteria over the past 7 years, in relation to patterns of antimicrobial use, to inform rational antimicrobial use and strengthen hospital infection control measures.

Retrospective cohort study.

A large teaching hospital in Tianjin, a major metropolitan city in northern China.

A total of 190 352 inpatients aged >18 years, admitted between 1 January 2017 and 31 December 2023, were included. Patients were eligible if they had complete clinical data and met the five quality control indicators for multidrug-resistant bacteria (QC-MRB), defined in the ‘Hospital Infection Surveillance Specifications’ (WS/T 312–2023). Patients with MDR infections before admission or those with duplicate results from multiple specimens were excluded.

Statistical analysis revealed a detection rate of 12.11% for the five QC-MRB and an incidence rate of 0.20%. The findings also indicated an upward trend in the detection and incidence rates of carbapenem-resistant Enterobacteriaceae, despite a relatively stable rate of antimicrobial use over 7 years. A positive correlation was observed between the incidence of MDR bacteria and the intensity of antimicrobial use within the hospital setting.

The hospital’s bacterial data align with national trends. It established an interdisciplinary management framework for clinical data analysis and prediction of antimicrobial resistance. This approach enhances infection control measures and supports the rational use of antimicrobials.

The home-based primary care cohort was set up to identify the characteristics of Home-Based Primary Care (HBPC) users across three domains: health-related information, utility of healthcare service and care-related information.

A total of 407 patients enrolled in five HBPC centres were recruited between January 2023 and March 2024. The baseline survey was conducted among 332 participants who provided informed consent for both study participation and home visits. The second wave of data collection is scheduled to take place 6 months after enrolment, while the third wave will be conducted 12 months post-enrolment. During each home visit, trained interviewers administered structured survey questionnaires. On completion of the 12-month follow-up period, the dataset will include survey data, intervention records from the five participating HBPC centres, home mortality status and institutionalisation risk linked to each participant.

This study examines HBPC in Korea, integrating the Widely Integrated Services in Home model with the long-term care insurance system. Among participants, 30.1% lived alone, and 74.1% were homebound, showing similarities to findings from a US HBPC study. Analysing cohort data, this study evaluates the impact of HBPC on healthcare utilisation, aligning with international findings on reduced hospitalisations and costs. As the first HBPC effectiveness study in Korea, it highlights its role in enhancing care for homebound older adults and shaping national health policies.

Data on the number of interventions by profession, institutionalisation and hospitalisation status and duration, and death at home occurrence are being separately collected from five HBPC centres and will be included in the analysis. The analysis will examine associations between these variables to identify risk factors influencing institutionalisation. Additionally, this study plans to link the dataset with the National Health Insurance Service-Senior (NHIS-Senior) customised cohort for further analysis.