Evidence map›Paper›PMID 36422089›Full record

ArticleJournal of personalized medicine2022

Selection of Representative Questionnaire Items from the Asthma Control Test.

Min-Seok Chang, Iseul Yu, Sunmin Park, Ji-Ho Lee, Seok Jeong Lee, Won-Yeon Lee, Suk Joong Yong, Meounggun Jo, Sang-Ha Kim

Open access · goldAbstract read
In one paragraph

Article in Journal of personalized medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 79% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

9 authors at 2 institutions in 1 country.

Min-Seok ChangDepartment of Internal Medicine, Yonsei University Wonju College of Medicine, Wonju 26426, Republic of Korea.
Iseul YuDepartment of Internal Medicine, Yonsei University Wonju College of Medicine, Wonju 26426, Republic of Korea.
Sunmin ParkDepartment of Internal Medicine, Yonsei University Wonju College of Medicine, Wonju 26426, Republic of Korea.
Ji-Ho LeeDepartment of Internal Medicine, Yonsei University Wonju College of Medicine, Wonju 26426, Republic of Korea.
Seok Jeong LeeDepartment of Internal Medicine, Yonsei University Wonju College of Medicine, Wonju 26426, Republic of Korea.
Won-Yeon LeeDepartment of Internal Medicine, Yonsei University Wonju College of Medicine, Wonju 26426, Republic of Korea.ORCID 0000-0002-5461-6770
Suk Joong YongDepartment of Internal Medicine, Yonsei University Wonju College of Medicine, Wonju 26426, Republic of Korea.
Meounggun JoDepartment of Innovation and Convergence, Hoseo University, Ansan 31499, Republic of Korea.
Sang-Ha KimDepartment of Internal Medicine, Yonsei University Wonju College of Medicine, Wonju 26426, Republic of Korea.ORCID 0000-0002-1763-5366
Yonsei University · KRHoseo University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Asthma is a disease characterized by the appearance of transient or persistent symptoms in response to allergens, viral upper respiratory infections, and cold air. Asthma treatment aims to control, rather than cure, and digital systems can be useful in this regard. However, conventional assessment methods for asthma control are not suitable for digital healthcare. Therefore, we aimed to select representative questionnaire items suitable for digitally assessing the asthma control status. We analyzed the Asthma Control Test (ACT) and selected representative items. Throughout the year 2020, ACT results (2019 in total) collected from patients (>18 years old) with a principal diagnosis of asthma were analyzed. Individual questionnaire items were tested using Pearson’s correlation and receiver operating characteristic curves. Of the five questionnaire items, Q1, Q2, Q3, and Q5 yielded significant findings. Among these questionnaires, Q2 was the most descriptive and correlated questionnaire. Q5 was also significant but it was excluded since it was unable to apply to the digital health care system for asthma assessment method. The remaining three questionnaire items were selected and their sensitivity and specificity were assessed. Eight methods were analyzed, and the sum of scores of Q1−Q3 had the highest sensitivity and specificity (97% and 91%, respectively). The results suggested that, instead of the full items of ACT, the sum of Q1−Q3 can be used to assess the asthma control status. These findings will serve as the foundation for developing digital asthma control assessment tools.

Indexed as

asthmadigital healthcarequestionnairerepresentative questionnaire

Identifiers

PMID36422089
PMCPMC9693413
OpenAlexW4309604519

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.