Evidence map›Paper›PMID 37128490›Full record

ArticleInternational journal of nursing sciences2023

Knowledge, attitude, and practice toward disease prevention among a high-risk population for chronic obstructive pulmonary disease: A cross-sectional study.

Lulu Zhao, Qinghua Zhao

Open access · goldAbstract read
In one paragraph

Article in International journal of nursing sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.6field-weighted citation impact, top 10% of its field
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

12 citing papers in PubMed, 10 citations in OpenAlex.

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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

2 authors at 1 institution in 1 country.

Lulu ZhaoDepartment of Nursing, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Qinghua ZhaoDepartment of Nursing, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
The Affiliated Yongchuan Hospital of Chongqing Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aimed to describe the current situation of knowledge, attitude, and practice (KAP) of chronic obstructive pulmonary disease (COPD) prevention among a high-risk population for COPD. Methods: A cross-sectional survey was conducted. A total of 241 participants at risk of COPD were selected who visited the respiratory outpatient department of a Class A tertiary hospital in Chongqing, China from January to December 2021. A self-developed COPD prevention KAP assessment was used for evaluation which included knowledge (21 items), attitude (9 items), and practice (9 items) three dimension, 39 items. Results: The average overall KAP score was 68.29 ± 12.91, with scores for the knowledge, attitude, and practice dimension was 68.75 ± 18.07, 71.13 ± 15.09 and 65.00 ± 20.93, respectively. Among the people at risk of COPD, 76.8% experienced a moderate level of KAP toward COPD prevention, while 22.0% were at a poor level. Significant differences in the KAP scores were based on gender, educational level, occupation, type of medical insurance, smoking, and passive smoking status ( Conclusion: The participants with a high risk of COPD had a moderate level of KAP for COPD prevention, in which the understanding and action on vaccination and lung function test was weak, but an active attitude for health. It is necessary to implement tailored health education interventions to their characteristics to reduce the incidence and development of COPD.

Indexed as

AttitudesChronic obstructive pulmonary diseaseKnowledgePracticeRisk

Identifiers

PMID37128490
PMCPMC10148251
OpenAlexW4360616063

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.