Evidence map›Paper›PMID 33446198›Full record

ArticleBMC medical informatics and decision making2021

Determinants of successful guideline implementation: a national cross-sectional survey.

Ying-Hui Jin, Li-Ming Tan, Khalid S Khan, Tong Deng, Chao Huang, Fei Han, Jing Zhang, Qiao Huang, Di Huang, Dan-Qi Wang and 4 more

Abstract read
In one paragraph

Article in BMC medical informatics and decision making, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 2 pooled it
–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

15 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  7. A European Survey to Identify Challenges in the Management of Metabolic Dysfunction-Associated Steatotic Liver Disease.Liver international : official journal of the International Association for the Study of the Liver · 2025
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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

14 authors.

Ying-Hui JinCenter for Evidence-Based and Translational Medicine, Zhongnan Hospital of Wuhan University, No. 169, Donghu Road, Wuchang District, Wuhan, 430071, China.
Li-Ming TanThe Second People's Hospital of Huaihua, Wuxi Road, Hecheng District, Huaihua, 418200, Hunan, China.
Khalid S KhanWomen's Health Research Unit, Queen Mary University of London, Centre for Primary Care and Public Health, Barts and the London School of Medicine, London, UK.
Tong DengDepartment of General Surgery, Huaihe Hospital of Henan University, No. 8, Baobei Road, Gulou District, Kaifeng, 475000, China.
Chao HuangNational Center for Medical Service Administration, National Health and Family Planning Commission, Beijing, 100044, China.
Fei HanEmergency Department, Xuan Wu Traditional Chinese Medicine Hospital, Beijing, No. 8, Wanming Road, Xicheng District, Beijing, 10000, China.
Jing ZhangCenter for Evidence-Based and Translational Medicine, Zhongnan Hospital of Wuhan University, No. 169, Donghu Road, Wuchang District, Wuhan, 430071, China.
Qiao HuangCenter for Evidence-Based and Translational Medicine, Zhongnan Hospital of Wuhan University, No. 169, Donghu Road, Wuchang District, Wuhan, 430071, China.
Di HuangCenter for Evidence-Based and Translational Medicine, Zhongnan Hospital of Wuhan University, No. 169, Donghu Road, Wuchang District, Wuhan, 430071, China.
Dan-Qi WangCenter for Evidence-Based and Translational Medicine, Zhongnan Hospital of Wuhan University, No. 169, Donghu Road, Wuchang District, Wuhan, 430071, China.
Yu WangCenter for Evidence-Based and Translational Medicine, Zhongnan Hospital of Wuhan University, No. 169, Donghu Road, Wuchang District, Wuhan, 430071, China.
Xian-Tao ZengCenter for Evidence-Based and Translational Medicine, Zhongnan Hospital of Wuhan University, No. 169, Donghu Road, Wuchang District, Wuhan, 430071, China.
Qiang WangNational Center for Medical Service Administration, National Health and Family Planning Commission, Beijing, 100044, China. jason2019@sina.cn.
Xing-Huan WangCenter for Evidence-Based and Translational Medicine, Zhongnan Hospital of Wuhan University, No. 169, Donghu Road, Wuchang District, Wuhan, 430071, China. wangxinghuan1965@163.com.ORCID 0000-0003-4725-9581

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCPGs are not uniformly successful in improving care and several instances of implementation failure have been reported. Performing a comprehensive assessment of the barriers and enablers is key to developing an informed implementation strategy. Our objective was to investigate determinants of guideline implementation and explore associations of self-reported adherence to guidelines with characteristics of participants in China.

methodsThis is a cross-sectional survey, using multi-stage stratified typical sampling based on China's economic regional divisions (the East, the Middle, the West and the Northeast). 2-5 provinces were selected from each region. 2-3 cities were selected in each province, and secondary and tertiary hospitals from each city were included. We developed a questionnaire underpinned by recommended methods for the design and conduct of self-administered surveys and based on conceptual framework of guideline use, in-depth related literature analysis, guideline development manuals, related behavior change theory. Finally, multivariate analyses were performed using logistic regression to produce adjusted odds ratios (OR) and 95% confidence intervals (95% CI).

resultsThe questionnaire consisted of four sections: knowledge of methodology for developing guidelines; barriers to accessing guideline; barriers to guideline implementation; and methods for improving guideline implementation. There were 1732 participants (87.3% response rate) from 51 hospitals. Of these, 77.2% reported to have used guidelines frequently or very frequently. The key barriers to guideline use were lack of education or training (46.2%), and overly simplistic wording or overly broad scope of recommendations (43.8%). Level of adherence to guidelines was associated with geographical regions (the northeast P < 0.001; the west P = 0.02; the middle P < 0.001 compared with the east), hospital grades (P = 0.028), length of practitioners' practice (P = 0.006), education background (Ph.D., P = 0.027; Master, P = 0.002), evidence-based medicine skills acquired in work unit (P = 0.012), and medical specialty of practitioner (General Practice, P = 0.006; Surgery, P = 0.043).

conclusionDespite general acknowledgement of the importance of guidelines, the use of guidelines was not as frequent as might have been expected. To optimize the likelihood of adherence to guidelines, guideline implementation should follow an actively developed dissemination plan incorporating features associated with adherence in our study.

Indexed as

Evidence-Based MedicineGuideline AdherenceChinaCross-Sectional StudiesSurveys and QuestionnairesAdherenceBarriersGuidelineImplementation

Identifiers

PMID33446198
PMCPMC7807713

What OpenQuestion holds

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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.