Evidence map›Paper›PMID 42133733›Full record

ArticlePLoS neglected tropical diseases2026

Human resource challenges in leprosy control: A cross-sectional study in southwest border area of China.

Ruifang Song, Yong Shen, Fuying Guo, Qing Zhen, Shuo Kou, Shun Zha, Xiaojun Yu, Zhuo Li, Shanshan Song, Jiaxin Hao and 6 more

Abstract read
In one paragraph

Article in PLoS neglected tropical diseases, 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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0citing papers in PubMed
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1 · What the graph read from it

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.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors.

Ruifang SongDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, China.
Yong ShenDepartment of Information Retrieval, School of Public Health, Jilin University, Changchun, China.
Fuying GuoThe People's Hospital of Lincang, Lincang, Yunnan, China.
Qing ZhenDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, China.
Shuo KouYunnan Center for Disease Control and Prevention, Kunming, Yunnan, China.
Shun ZhaYunnan Center for Disease Control and Prevention, Kunming, Yunnan, China.
Xiaojun YuYunnan Center for Disease Control and Prevention, Kunming, Yunnan, China.
Zhuo LiDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, China.
Shanshan SongDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, China.
Jiaxin HaoDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, China.
Yiting ZhangDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, China.
Yingtong WangDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, China.
Tian MaDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, China.
Tiejun ShuiYunnan Center for Disease Control and Prevention, Kunming, Yunnan, China.ORCID https://orcid.org/0000-0002-2224-0545
Xiangyu YanSchool of Disaster and Emergency Medicine, Tianjin University, Tianjin, China.ORCID https://orcid.org/0000-0002-1496-0358
Weijia ZhaoFirst Affiliated Hospital of Kunming Medical University, Kunming, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLeprosy remains a neglected tropical disease and major global public health challenge, particularly in developing countries with severe healthcare workforce shortages hindering control. The southwestern border, represented by Yunnan Province, is a core endemic area. A comprehensive assessment of its leprosy workforce is critical for achieving elimination. METHODS/

resultsIn October 2024, a cross-sectional census survey evaluated 423 Leprosy prevention and control personnel across all 129 counties in Yunnan Province, China. These counties were categorized into high (I), moderate (II), and low (III) endemicity areas based on their leprosy burden. Distinct workforce patterns emerged among 423 personnel, Category I areas exhibited the highest proportion of personnel aged 30-39 years (37.5%), along with the continuing education participation (78.5%), the highest full-time employment rate (52.5%), and strongest prescription protocol awareness (72.5%). Category II areas featured the oldest personnel profile (35.0% aged ≥50 years),with a moderate positive correlation between age and years of service (r = 0.58), highest continuing education participation (78.8%). In contrast, Category III areas had the highest proportion under 30 years (20.5%), and highest proportion of personnel with Bachelor's degrees or higher (69.9%) lowest full-time employment rate (38.4%), highest compensation dissatisfaction (38.4% "below average"), and lowest intention to leave (8.2%). Pervasive workforce aging existed (at least 30% of personnel ≥50 years in Category II and III) and widespread technical gaps (>75% Category III areas lacked essential lab skills). Part-time staffing was common (47.5%-61.6% across categories). Despite over >90% of personnel in these three categories rated their compensation as "average or below", compensation and career challenges were most acute in Categories I and II.

conclusionsThe Yunnan leprosy workforce shows strengths, notably high continuing education participation (78.5%) and balanced clinical/preventive staffing. However, it faces significant challenges, workforce aging, shortage of highly qualified personnel, and limited lab capacity. Urgent intervention measures are needed to revitalize the workforce, enhance training, and strategically allocate resources to expedite the achievement of leprosy elimination.

Indexed as

Health PersonnelHealth WorkforceLeprosyAdultChinaCross-Sectional StudiesFemaleHumansMaleMiddle Aged

Identifiers

PMID42133733
PMCPMC13175470

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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.