ArticleInternational journal of qualitative studies on health and well-being2023
Barriers to community healthcare delivery in urban China: a nurse perspective.
Article in International journal of qualitative studies on health and well-being, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 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
6 citing papers in PubMed, 12 citations in OpenAlex.
- From Habit to Justification: A Dual Process Theory Approach to Primary Care Bypassing in China.Health care analysis : HCA : journal of health philosophy and policy · 2026Article
- Community Nurses as Gender-Responsive Social Prescribing Facilitators for Women's Psychosocial Health and Well-Being in China: A Qualitative Thematic Study.International journal of women's health · 2026Article
- Changes of physician-patient communication skills among general practitioners after intervention of targeted SEGUE training.BMC medical education · 2025Article
- Organizational Position and Structural Empowerment in Chinese Community Nursing: An Interpretive Case Study.Journal of nursing management · 2025Article
- Article
- Community Nursing Practice in Hypertension Management in China: Qualitative Analysis Using a Bourdieusian Framework.Public health nursing (Boston, Mass.)Article
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 at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeThere is considerable research on China's community healthcare, but little examining its delivery from a nurse perspective. This article, set in the context of Shenzhen, elicits community nurses' views on barriers to healthcare delivery, providing an initial evidence framework to improve community nursing practice at organizational and policy levels.
methodsWe used qualitative methods. Data from semi-structured interviews with 42 community nurses in Shenzhen underwent inductive content analysis. Consolidated criteria for reporting qualitative research were consulted to structure our reporting.
resultsOur analysis suggests four elements discouraging community nurses in care delivery: lack of equipment, stressful work environments, staff incompetence, and patient distrust. Centralized means of procurement, management indifference to nurses' well-being, unsystematic training and reluctance to enter the community healthcare sector, and public prejudices against nursing contributed to these constraints, preventing community nurses from performing patient-centred care, devoting energy to caring, freeing themselves from heavy workloads, and building trust-based care relationships.
conclusionsDelivery barriers devalued community health services systematically and undermined nurses' professional advancement and psychological well-being. Targeted management and policy inputs are necessary to reduce caring barriers and enhance the ability of community nursing to safeguard population health.
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.