Evidence map›Paper›PMID 38491737›Full record

ArticleClinical cardiology2024

Knowledge, attitude, and practice toward postoperative self-management among patients after percutaneous coronary intervention: A structural equation modeling analysis.

Hailing Lei, Lin Zhu, Xin Zhang

Abstract read
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Article in Clinical cardiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

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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

9 citing papers 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

3 authors.

Hailing LeiDepartment of Cardiology, Beijing Jishuitan Hospital, Capital Medical University, Beijing, China.ORCID http://orcid.org/0009-0004-8266-3293
Lin ZhuDepartment of Cardiology, Beijing Jishuitan Hospital, Capital Medical University, Beijing, China.
Xin ZhangDepartment of Cardiology, Beijing Jishuitan Hospital, Capital Medical University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe knowledge, attitude, and practice (KAP) toward post-percutaneous coronary intervention (PCI) self-management among Chinese patients remains unknown. This study investigated the KAP toward postoperative self-management among patients after PCI. HYPOTHESIS: Patients exhibit poor knowledge, attitudes, and practices regarding post-PCI self-management, requiring enhanced education strategies.

methodsThis cross-sectional study recruited patients after PCI at Jishuitan Hospital, Beijing, between November 2022 and May 2023. Inclusion criteria comprised patients 1-3 months post-PCI, those capable of self-care, and those willingly participating. The questionnaire (49 items) was designed with reference to current guidelines (the Cronbach α = .829). The final questionnaire included four dimensions with 49 items. The Pearson correlation analysis and structural equation modeling (SEM) were used to determine the relationship among knowledge, attitude, and practice.

resultsA total of 476 valid questionnaires were included. The knowledge, attitude, and practice scores were 8.24 ± 2.78 (possible range: 0-12), 21.61 ± 3.15 (possible range: 9-45), and 32.62 ± 3.75 (possible range: 10-50). The Pearson correlation analysis showed only knowledge scores were correlated with the attitude scores (r = .446, p < .001). The SEM showed that knowledge directly affects attitude (β = .616, p < .001) but had no influence on practice (β = .119, p = .155); attitude had no influence on practice (β = .015, p = .809).

conclusionThis study indicated that patients had poor knowledge, unfavorable attitudes, and unsatisfied practice toward post-PCI self-management. Strengthening patient health education through diverse approaches is imperative.

Indexed as

Percutaneous Coronary InterventionSelf-ManagementCross-Sectional StudiesHealth Knowledge, Attitudes, PracticeHumansLatent Class AnalysisSurveys and Questionnairesknowledge, attitude, practicepercutaneous coronary interventionpostoperativeself-management

Identifiers

PMID38491737
PMCPMC10943248

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LicenceCC BY
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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.