Evidence map›Paper›PMID 32416430›Full record

Observational studyInternational journal of medical informatics2020

What are the main patient safety concerns of healthcare stakeholders: a mixed-method study of Web-based text.

Insook Cho, Minyoung Lee, Yeonjin Kim

Abstract readObservational Study
In one paragraph

Observational study in International journal of medical informatics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Insook ChoDepartment of Nursing, Inha University, Incheon, South Korea. Electronic address: insook.cho@inha.ac.kr.
Minyoung LeeDepartment of Nursing, Inha University, Incheon, South Korea; Graduate School, Inha University, Incheon, South Korea.
Yeonjin KimGraduate School, Inha University, Incheon, South Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesVarious healthcare stakeholders define quality of care in different ways. Public policy could advocate all these concerns. This study was conducted to identify the main themes on patient safety of stakeholders expressed before and after the Patient Safety Act was enacted in Korea in 2015.

designLongitudinal observational study of the interests of healthcare stakeholders generated between January 2014 and September 2018. MATERIALS AND

methodsText data were collected from 2,487 documents on 18 websites that were identified as representative healthcare stakeholder groups of consumers, providers, government, and researchers. A Korean natural language processing (NLP) package, manual review, and synonym dictionary were used for data preprocessing, and we adopted the unsupervised NLP method of probabilistic topic modeling and latent Dirichlet allocation. A linear trend analysis over time, a qualitative step involving two external experts, and original text reviews were performed to validate the identified topics.

resultsForty-one topics were identified, and the most common concerns of stakeholders were institutional infection control as triggered by the Middle East respiratory syndrome outbreak in early 2015, and infusion-related infection from late 2017 until the middle of 2018. The other top-three concerns of the stakeholder groups were highly similar, while research topics were limited to the perceptions of providers and the activities and culture of hospitals. Five topics showed statistically significant increasing trends over time, while another five showed decreasing trends (both P < 0.05). In the qualitative step, we confirmed 35 themes and revised the other 6.

conclusionsA common concern among stakeholders was hospital infection control, ranging from nosocomial infections to those brought in by family visiting patients. Government policies and systemic approaches to patient safety were highlighted by different stakeholders. Researchers were focused on hospital sociocultural factors at both the organizational and clinician levels. These identified concerns all should be advocated by the public health policy.

Indexed as

Natural Language ProcessingQuality ImprovementGovernmentHealth ServicesHospitalsHumansInternetLongitudinal StudiesPatient SafetyRepublic of KoreaResearch DesignHealthcare stakeholdersNatural language processingPatient safetyTopic modelingWeb-based text

Identifiers

PMID32416430
PMCPMC7198194

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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.