ArticleBMJ open2022
Analysis on the willingness and influencing factors of choosing primary healthcare institutions among patients with chronic conditions in China: a cross-sectional study.
Article in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
16 citing papers in PubMed.
- Influence of a clinical decision support system on the anticoagulation treatment knowledge, attitude and practice of general practitioners and their using experience: a mixed method study.BMC primary care · 2026Trial
- Differences in healthcare institution choice among elderly cancer patients: evidence from a cross-sectional study in Shandong Province, China.BMC cancer · 2026Article
- Policy Levers for First-Contact Healthcare Provider Choice: A Discrete Choice Experiment in Shanghai's Hierarchical Medical System.Applied health economics and health policy · 2026Article
- Willingness to pay for supplementary medical insurance and its influencing factors among rural residents in ethnic minority areas.Frontiers in public health · 2026Article
- Constructing a disease management journey map from the acute decompensated heart failure journey perspective: a descriptive qualitative study.International journal of qualitative studies on health and well-being · 2025Article
- Impact of initial physician contact on later-life health service utilization: a life course perspective.BMC health services research · 2025Article
- Research on the impact of family doctor contract services on the willingness of residents' first choice of medical institutions for treatment-empirical analysis based on PSM.BMC health services research · 2025Article
- Tele-nursing awareness, needs, and related influences in T2DM patients: qualitative descriptive study.BMC nursing · 2025Article
- The effect of patient participation on trust in primary health care physicians among patients with chronic diseases: the mediating role of perceived value.Frontiers in public health · 2025Article
- Health literacy profiles correlate with participation in primary health care among patients with chronic diseases: a latent profile analysis.Frontiers in public health · 2025Article
- Impact of China's primary healthcare reforms on utilisation, payments and self-reported health: a quasi-experimental analysis of a middle-aged and older cohort 2011-2018.BMJ public health · 2025Article
- Eliciting Older Cancer Patients' Preferences for Follow-Up Care to Inform a Primary Healthcare Follow-Up Model in China: A Discrete Choice Experiment.The patient · 2024Article
- Article
- Article
- Factors Explaining the Use of Web-Based Consultations With Physicians by Young and Middle-Aged Individuals in China: Qualitative Comparative Analysis.JMIR formative research · 2024Article
- Patient experience in community health services and first choice for medical attention: A cross-sectional study in Wuhan, China.PloS one · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo assess the willingness and factors influencing the choice of primary healthcare (PHC) institutions among patients with chronic conditions in China.
designA nationwide population-based study with binary logistic regression was conducted and used to estimate the ORs of the influencing factors of health-seeking at PHC institutions using the Anderson model as a theoretical framework.
settingThe China Family Panel Studies (CFPS) database.
participantsThe study sample included 7967 patients with chronic conditions identified from the 2016 and 2018 CFPS databases.
resultsFrom 2016 to 2018, the rate of choosing PHC institutions for patients with chronic conditions dropped from 51.0% to 47.7%. The logistic regression results showed that patients with low family income (OR value of >60 000 group was 0.57, 95% CI 0.43 to 0.74), low education level (OR value of bachelor degree or above was 0.54, 95% CI 0.35 to 0.83;), older age (OR value of >65 group was 1.31, 95% CI 1.08 to 1.60;), hypertension and diabetes (OR 1.26, 95% CI 1.13 to 1.41), living in rural areas (OR value of urban was 0.47, 95% CI 0.38 to 0.60), immigrating from rural to urban areas (OR 1.64, 95% CI 1.26 to 2.13), reporting good health (OR value of very good was 1.33, 95% CI 1.05 to 1.68) and those from areas with a high proportion of PHC institutions (OR 1.05, 95% CI 1.02 to 1.07) were more inclined to choose PHC institutions. Conversely, patients with urban employee health insurance (OR 0.62, 95% CI 0.49 to 0.80) and more than one chronic disease (OR 0,83, 95% CI 0.75 to 0.92) preferred choosing a hospital.
conclusionsThe patients' willingness to choose PHC institutions was low. The health-seeking preference of patients with chronic conditions is derived from medical needs and is influenced by the predisposing factors and tendencies of enabling resources. Measures should be taken to improve the capacity of PHC institutions.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.