Evidence map›Paper›PMID 39271983›Full record

ArticleBMC infectious diseases2024

Development and evaluation of a health literacy scale for parasitic diseases.

Yi Wang, Chengyuan Li, Yuanchun Mao, Yaobao Liu, Yanmin Mao, Jie Shao, Jianfeng Chen, Kun Yang

Abstract read
In one paragraph

Article in BMC infectious diseases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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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

8 authors.

Yi WangJiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, National Health Commission Key Laboratory of Parasitic Disease Control and Prevention, Jiangsu Institute of Parasitic Diseases, Wuxi, Jiangsu Province, 214064, People's Republic of China.
Chengyuan LiJiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, National Health Commission Key Laboratory of Parasitic Disease Control and Prevention, Jiangsu Institute of Parasitic Diseases, Wuxi, Jiangsu Province, 214064, People's Republic of China.
Yuanchun MaoJiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, National Health Commission Key Laboratory of Parasitic Disease Control and Prevention, Jiangsu Institute of Parasitic Diseases, Wuxi, Jiangsu Province, 214064, People's Republic of China.
Yaobao LiuJiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, National Health Commission Key Laboratory of Parasitic Disease Control and Prevention, Jiangsu Institute of Parasitic Diseases, Wuxi, Jiangsu Province, 214064, People's Republic of China.
Yanmin MaoLianyungang Center for Disease Control and Prevention, Lianyungang, Jiangsu Province, 222006, People's Republic of China.
Jie ShaoWuxi Center for Disease Control and Prevention, Wuxi, Jiangsu Province, 214125, People's Republic of China.
Jianfeng ChenTaizhou Center for Disease Control and Prevention, Taizhou, Jiangsu Province, 225309, People's Republic of China.
Kun YangJiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, National Health Commission Key Laboratory of Parasitic Disease Control and Prevention, Jiangsu Institute of Parasitic Diseases, Wuxi, Jiangsu Province, 214064, People's Republic of China. yangkun@jipd.com.

Funding

International Science and Technology Cooperation Program of Jiangsu Province, China BZ2020003National Natural Science Foundation of China 82173586
6 · The paper itself

Abstract

backgroundParasitic diseases remain a serious public health problem in China. Health education aimed at disseminating health-related knowledge and promoting healthy behaviours, plays a crucial role in the prevention and control of parasitic diseases. This study aims to develop a tool to measure the parasitic disease health literacy of residents in China.

methodsScale development was based on qualitative and quantitative methods. Qualitative method included focus group discussions and Delphi consultations. A methodological design with multistage sampling and a pilot study was used to evaluate the questionnaire. The scale's reliability was tested using Cronbach's α and split-half reliability, while its construct validity was assessed using confirmatory factor analysis. The scale's passing score was determined using the receiver operating characteristic curve. A cross-sectional survey was conducted in six districts of the prefecture of Jiangsu and residents aged 14-69 years in the participating townships were randomly selected based on their location.

resultsThe health literacy indicator system for parasitic diseases included 3 first-level, 9 s-level and 23 third-level indicators. The 23-item questionnaire demonstrated good internal consistency (Cronbach's alpha = 0.774) and split-half reliability (Spearman-Brown coefficient = 0.778). The questionnaire's passing score was 60. A total of 990 valid questionnaires were collected from participants in three cities. The percentage of participants with health literacy regarding parasitic diseases was 15.8%. Their scores were influenced by age, income, employment, and educational level.

conclusionsHealth literacy of parasitic diseases is an integrated indicator rather than just knowledge or behavior information. The correlation between knowledge and behavior is weak. The capacity for healthy behavior of parasitic disease is associated with the location and culture of the city. For neglected diseases, it is important for people to talk positively about their behaviors with a doctor.

Indexed as

Health LiteracyParasitic DiseasesAdolescentAdultAgedChinaCross-Sectional StudiesFemaleHealth Knowledge, Attitudes, PracticeHumansMaleMiddle AgedReproducibility of ResultsSurveys and QuestionnairesYoung AdultHealth educationHealth literacyHealth surveillanceParasitic diseases

Identifiers

PMID39271983
PMCPMC11395214

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Registered trials

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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.