Evidence map›Paper›PMID 30176853›Full record

ArticleBMC health services research2018

Brief adult respiratory system health status scale-community version (BARSHSS-CV): developing and evaluating the reliability and validity.

Hongzhe Dou, Yuejia Zhao, Yanhong Chen, Qingchun Zhao, Bo Xiao, Yan Wang, Yonghe Zhang, Zhiguo Chen, Jie Guo, Lingwei Tao

Abstract readEvaluation StudyMulticenter StudyValidation Study
In one paragraph

Article in BMC health services research, 2018. 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
–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

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

4 citing papers in PubMed.

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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

10 authors.

Hongzhe DouAffiliated Hospital of Hebei University, No.212 Yuhua East Road, Baoding, 071000, China.
Yuejia ZhaoAffiliated Hospital of Hebei University, No.212 Yuhua East Road, Baoding, 071000, China.
Yanhong ChenAffiliated Hospital of Hebei University, No.212 Yuhua East Road, Baoding, 071000, China.
Qingchun ZhaoAffiliated Hospital of Hebei University, No.212 Yuhua East Road, Baoding, 071000, China.
Bo XiaoThe NO.5 Hospital of Baoding, No.340 Ruixiang Street, Baoding, 071000, China.
Yan WangCollege of Nursing, Hebei University, No.342 Yuhua East Road, Baoding, 071000, China.
Yonghe ZhangCollege of Nursing, Hebei University, No.342 Yuhua East Road, Baoding, 071000, China.
Zhiguo ChenCollege of Nursing, Hebei University, No.342 Yuhua East Road, Baoding, 071000, China.
Jie GuoCollege of Nursing, Hebei University, No.342 Yuhua East Road, Baoding, 071000, China.
Lingwei TaoSchool of Public Health, Capital Medical University, No.10 Xitoutiao, Youanmenwai, Beijing, 100069, China. taolingwei115@163.com.ORCID http://orcid.org/0000-0002-8625-9042

Funding

Health and Family Planning Commission of Hebei 20150072Health and Family Planning Commission of Hebei 20180707Hebei Province Federation of Social Science Circles 201501808
6 · The paper itself

Abstract

backgroundThe evaluation of respiratory system health status in hospitalized patients is usually based on many laboratory examinations and imaging examinations. Medical examinations require a lot of manpower, material resources, financial resources, and may cause a certain degree of mechanical damage and radiation damage. It is not easily used widely and economically to assess the respiratory health status of community adults. Therefore, researchers developed a brief adult respiratory system health status scale-community version (BARSHSS-CV) and tested its reliability and validity.

methodsUsing clinical characteristics and pathogenic factors of respiratory system diseases as a theoretical basis and through reference to relevant literature, researchers developed an initial scale. A randomized cluster sampling strategy was used to recruit adults in the communities of Baoding City, Shijiazhuang City, Cangzhou city and Chifeng City in China. Researchers randomly selected 1 district from each city. Subsequently, 4 communities were respectively randomly selected from 4 districts. Then, researchers conducted the questionnaire survey in 4 communities. Finally, researchers investigated 615 community adults. 584 valid questionnaires were recovered. By applying exploratory factor analysis, confirmatory factor analysis, content validity index, Cronbach's α coefficient, mean inter-item correlation coefficient and test-retest reliability, researchers tested the reliability and validity of scale and created the final BARSHSS-CV.

resultsBARSHSS-CV Cronbach's α=0.951, content validity = 0.933, test-retest reliability = 0.963 and factor cumulative contribution rate = 67.168% by exploratory factor analysis. By confirmatory factor analysis, Chi square value (χ2) was 442.117, degrees of freedom (df) was 161, Chi square value/degrees of freedom (χ2 /df) was 2.746, root-mean-square error of approximation (RMSEA) was 0.065, goodness of fit index (GFI) was 0.902, incremental fit index (IFI) was 0.955, comparative fit index (CFI) was 0.955, normed fit index (NFI) was 0.931, Tueker-Lewis index (TLI) was 0.947. BARSHSS-CV consisted of 20 items and 3 dimensions.

conclusionsBARSHSS-CV with good test-retest reliability and content/construct validity is a brief and economical tool for assessing the state of respiratory system amongst adult communities. BARSHSS-CV may help medical staff in community primary medical institutions quickly, conveniently and economically assess the status of respiratory system and the main problems of respiratory system in community adults.

Indexed as

Health StatusSeverity of Illness IndexAdolescentAdultAgedChinaFactor Analysis, StatisticalFemaleHumansMaleMiddle AgedPsychometricsReproducibility of ResultsResearch PersonnelRespiratory Tract DiseasesSurveys and QuestionnairesAdultCommunityHealth levelReliabilityRespiratory systemValidity

Identifiers

PMID30176853
PMCPMC6122650

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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.