Evidence map›Paper›PMID 42909344›Full record

ArticleAIMS public health2026

Disaster preparedness and its correlates among nurses in border areas of Southwest China: A multicenter cross-sectional survey.

Aoli Li, Lihan Chen, Maosong Li, Qiu Ma, Qilian He, Lorna Kwai Ping Suen

Abstract read
In one paragraph

Article in AIMS public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Aoli LiSchool of Nursing, Dali University, Dali 671000, China.
Lihan ChenSchool of Nursing, Dali University, Dali 671000, China.
Maosong LiBureau of Science and Technology of Dali Bai Autonomous Prefecture, Dali 671000, China.
Qiu MaSchool of Nursing, Dali University, Dali 671000, China.
Qilian HeSchool of Nursing, Dali University, Dali 671000, China.
Lorna Kwai Ping SuenSchool of Nursing, Tung Wah College, Hong Kong Special Administrative Region, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Nurses play a critical role in disaster preparedness and response, particularly in disaster-prone border areas where health systems may face compounded challenges related to natural hazards, population mobility, and resource constraints. However, empirical evidence on nurses' disaster preparedness in such settings remains limited. Objective: We aimed to examine disaster preparedness among nurses working in disaster-prone border areas of Southwest China and to identify priority correlates to inform workforce development and training strategies. Methods: We conducted a multicenter cross-sectional survey of 1366 nurses using multistage stratified cluster sampling in a representative disaster-prone border area of Southwest China (Yunnan Province, China, bordering Myanmar). Data were collected using a general information questionnaire, the Chinese version of the Disaster Preparedness Evaluation Tool, the Resilience Scale of Medical Staff, and the Sense of Professional Mission Scale. Data were analyzed using descriptive statistics, univariate analysis, Pearson correlation analysis, LASSO regression, multivariable linear regression, and random forest analysis. Results: The mean total disaster preparedness score was 182.32 ± 43.51, indicating a moderate level of preparedness. Random forest analysis identified resilience, gender, and sense of professional mission as the most prominent correlates. In the multivariable linear regression model, resilience, sense of professional mission, gender, and disaster-related training remained significant predictors of disaster preparedness. Conclusions: Disaster preparedness among nurses working in disaster-prone border areas of Southwest China was moderate. Resilience and sense of professional mission were identified as important correlates of preparedness, highlighting potential priorities for workforce training and public health capacity building in border-area contexts.

Indexed as

border areasdisaster preparednessnursesrandom forestresilience

Identifiers

PMID42909344
PMCPMC13684066

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