Evidence map›Paper›PMID 35023860›Full record

ReviewJournal of Korean Academy of Nursing2021

[Knowledge Structure of Chronic Obstructive Pulmonary Disease Health Information on Health-Related Websites and Patients' Needs in the Literature Using Text Network Analysis].

Ja Yun Choi, Su Yeon Lim, So Young Yun

Open access · hybridAbstract readReview
PubMed Publisher
In one paragraph

Review in Journal of Korean Academy of Nursing, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.7field-weighted citation impact, top 13% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
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

3 authors at 3 institutions in 1 country.

Ja Yun ChoiCollege of Nursing, Chonnam National University, Gwangju, Korea.ORCID https://orcid.org/0000-0002-1284-250X
Su Yeon LimDepartment of Nursing, Chonnam National University Hwasun Hospital, Hwasun, Korea. dawit21@naver.com.ORCID https://orcid.org/0000-0002-6863-1349
So Young YunDepartment of Nursing, Nambu University, Gwangju, Korea.ORCID https://orcid.org/0000-0003-2562-4592
Chonnam National University · KRChonnam National University Hwasun Hospital · KRNambu University · KR

Funding

National Research Foundation of Korea NRF-2019R1I1A3A01064070
6 · The paper itself

Abstract

purposeThe purpose of this study was to identify the knowledge structure of health information (HI) for chronic obstructive pulmonary disease (COPD).

methodsKeywords or meaningful morphemes from HI presented on five health-related websites (HRWs) of one national HI institute and four hospitals, as well as HI needs among patients presented in nine literature, were reviewed, refined, and analyzed using text network analysis and their co-occurrence matrix was generated. Two networks of 61 and 35 keywords, respectively, were analyzed for degree, closeness, and betweenness centrality, as well as betweenness community analysis.

resultsThe most common keywords pertaining to HI on HRWs were lung, inhaler, smoking, dyspnea, and infection, focusing COPD treatment. In contrast, HI needs among patients were lung, medication, support, symptom, and smoking cessation, expanding to disease management. Two common sub-topic groups in HI on HRWs were COPD overview and medication administration, whereas three common sub-topic groups in HI needs among patients in the literature were COPD overview, self-management, and emotional management.

conclusionThe knowledge structure of HI on HRWs is medically oriented, while patients need supportive information. Thus, the support system for self-management and emotional management on HRWs must be informed according to the structure of patients' needs for HI. Healthcare providers should consider presenting COPD patient-centered information on HRWs.

Indexed as

Pulmonary Disease, Chronic ObstructiveSelf-ManagementSmoking CessationHumansLungSmokingChronic Obstructive Lung DiseaseConsumer Health InformationData Mining

Identifiers

PMID35023860
OpenAlexW4206199476

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.