Evidence map›Paper›PMID 28619774›Full record

ArticleBMJ open2017

Protocol for a multicentre, multistage, prospective study in China using system-based approaches for consistent improvement in surgical safety.

Xiaochu Yu, Jingmei Jiang, Changwei Liu, Keng Shen, Zixing Wang, Wei Han, Xingrong Liu, Guole Lin, Ye Zhang, Ying Zhang and 3 more

Abstract readMulticenter StudyValidation Study
In one paragraph

Article in BMJ open, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Observational
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
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

13 authors.

Xiaochu YuPeking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China.
Jingmei JiangDepartment of Epidemiology and Biotatistics, Institute of Basic Medicine Sciences, Chinese Academy of Medical Sciences, Beijing, China.
Changwei LiuPeking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China.
Keng ShenPeking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China.
Zixing WangDepartment of Epidemiology and Biotatistics, Institute of Basic Medicine Sciences, Chinese Academy of Medical Sciences, Beijing, China.
Wei HanDepartment of Epidemiology and Biotatistics, Institute of Basic Medicine Sciences, Chinese Academy of Medical Sciences, Beijing, China.
Xingrong LiuPeking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China.
Guole LinPeking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China.
Ye ZhangPeking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China.
Ying ZhangPeking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China.
Yufen MaPeking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China.
Haixin BoPeking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China.
Yupei ZhaoPeking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionSurgical safety has emerged as a crucial global health issue in the past two decades. Although several safety-enhancing tools are available, the pace of large-scale improvement remains slow, especially in developing countries such as China. The present project (Modern Surgery and Anesthesia Safety Management System Construction and Promotion) aims to develop and validate system-based integrated approaches for reducing perioperative deaths and complications using a multicentre, multistage design. METHODS AND ANALYSIS: The project involves collection of clinical and outcome information for 1 20 000 surgical inpatients at four regionally representative academic/teaching general hospitals in China during three sequential stages: preparation and development, effectiveness validation and improvement of implementation for promotion. These big data will provide the evidence base for the formulation, validation and improvement processes of a system-based stratified safety intervention package covering the entire surgical pathway. Attention will be directed to managing inherent patient risks and regulating medical safety behaviour. Information technology will facilitate data collection and intervention implementation, provide supervision mechanisms and guarantee transfer of key patient safety messages between departments and personnel. Changes in rates of deaths, surgical complications during hospitalisation, length of stay, system adoption and implementation rates will be analysed to evaluate effectiveness and efficiency. ETHICS AND DISSEMINATION: This study was approved by the institutional review boards of Peking Union Medical College Hospital, First Hospital of China Medical University, Qinghai Provincial People's Hospital, Xiangya Hospital Central South University and the Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences. Study findings will be disseminated via peer-reviewed journals, conference presentations and patent papers.

Indexed as

Hospitals, TeachingChinaClinical CompetenceHumansLength of StayOutcome and Process Assessment, Health CarePatient SafetyPostoperative ComplicationsProspective StudiesQuality Assurance, Health CareQuality ImprovementRisk AssessmentSafety ManagementSurgical Procedures, Operativehospital information systempatient safetyrisk managementsurgical complication

Identifiers

PMID28619774
PMCPMC5734415

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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.