Evidence map›Paper›PMID 30813148›Full record

Observational studyMedicine2019

Disease knowledge and self-management behavior of COPD patients in China.

Hua Yang, Huijun Wang, Liying Du, Ying Wang, Xiujin Wang, Ruimin Zhang

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in Medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
6.8field-weighted citation impact, top 2% 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

36 citing papers in PubMed, 82 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

6 authors at 1 institution in 1 country.

Hua Yang
Huijun Wang
Liying Du
Ying Wang
Xiujin Wang
Ruimin Zhang
Liaocheng People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aims to investigate the disease knowledge and self-management behavior of patients with chronic obstructive pulmonary disease (COPD) in the respiratory ward of a tertiary hospital in China, and analyze the relationship between these.A total of 360 COPD patients were surveyed using the internationally validated COPD Questionnaire (COPD-Q), the COPD Patients' Self-Management Behavior Scale and a general sociodemographic questionnaire, and 346 valid responses were obtained.The results revealed that the surveyed COPD patients scored an average of 4.90 ± 2.50 points (maximal of 13 points) on the COPD-Q and 117.23 ± 20.56 points on the COPD Self-Management Behavior Scale, in which 86.1% of COPD patients were classified as having low to medium levels of self-management behavior. Pearson correlation analysis revealed that the total points on the COPD Self-Management Behavior Scale, symptom management, daily life management, emotional management and information management were all positively correlated to the disease knowledge of COPD (P < .01). In addition to COPD knowledge, the multiple regression analysis revealed that age, marital status and place of residence could also affect self-management behavior.The level of disease knowledge and self-management behaviors of patients with COPD is rather low in China. COPD knowledge level was found to correlate with the level of self-management behavior. Health education that enhances the disease knowledge of COPD patients might thereby be necessary to help improve self-management behavior.

Indexed as

AdultAgedAged, 80 and overChinaFemaleHealth BehaviorHealth Knowledge, Attitudes, PracticeHumansMaleMiddle AgedPulmonary Disease, Chronic ObstructiveSelf-ManagementSurveys and Questionnaires

Identifiers

PMID30813148
PMCPMC6408037
OpenAlexW2920761951

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.