Evidence map›Paper›PMID 31237241›Full record

ArticleJournal of medical Internet research2019

Key Issues in the Development of an Evidence-Based Stratified Surgical Patient Safety Improvement Information System: Experience From a Multicenter Surgical Safety Program.

Xiaochu Yu, Wei Han, Jingmei Jiang, Yipeng Wang, Shijie Xin, Shizheng Wu, Hong Sun, Zixing Wang, Yupei Zhao

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in Journal of medical Internet research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.0field-weighted citation impact, top 23% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
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 4 institutions in 1 country.

Xiaochu Yu *Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China.ORCID 0000-0002-4925-535X
Wei Han *Department of Epidemiology and Biostatistics, Institute of Basic Medicine Sciences, Chinese Academy of Medical Science, Beijing, China.ORCID 0000-0001-6848-6439
Jingmei Jiang *Department of Epidemiology and Biostatistics, Institute of Basic Medicine Sciences, Chinese Academy of Medical Science, Beijing, China.ORCID 0000-0002-7787-7607
Yipeng WangPeking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China.ORCID 0000-0001-8679-9885
Shijie XinThe First Hospital of China Medical University, Shenyang, China.ORCID 0000-0002-1460-3027
Shizheng WuQinghai Provincial People's Hospital, Xining, China.ORCID 0000-0003-2275-0913
Hong SunXiangya Hospital, Central South University, Changsha, China.ORCID 0000-0002-2910-7907
Zixing WangDepartment of Epidemiology and Biostatistics, Institute of Basic Medicine Sciences, Chinese Academy of Medical Science, Beijing, China.ORCID 0000-0002-9617-2493
Yupei ZhaoPeking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China.ORCID 0000-0001-7081-2299
Chinese Academy of Medical Sciences & Peking Union Medical College · CNCentral South University · CNFirst Hospital of China Medical University · CNQinghai Provincial Peoples Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Surgery is still far from being completely safe and reliable. Surgical safety has, therefore, been the focus of considerable attention over the last few decades, and there are a growing number of national drives to improve it. There are also a number of large surgical complication reporting systems and system-based interventions, both of which have made remarkable progress in the past two decades. These systems, however, have either mainly focused on reporting complications and played a limited role in guiding practice or have provided nonselective interventions to all patients, perhaps imposing unnecessary burdens on frontline medical staff. We have, therefore, developed an evidence-based stratified surgical safety information system based on a multicenter surgical safety improvement program. This study discusses some critical issues in the process of developing this information system, including (1) decisions about data gathering, (2) establishing and sharing knowledge, (3) developing functions for the system, (4) system implementation, and (5) evaluation and continuous improvement. Using examples drawn from the surgical safety improvement program, we have shown how this type of system can be fitted into day-to-day clinical practice and how it can guide medical practice by incorporating inherent patient-related risk and providing tailored interventions for patients with different levels of risk. We concluded that multidisciplinary collaboration, involving experts in health care (including senior staff in surgery, nursing, and anesthesia), data science, health care management, and health information technology, can help build an evidence-based stratified surgical patient safety improvement system. This can provide an information-intensified surgical safety learning platform and, therefore, benefit surgical patients by delivering tailored interventions and an integrated workflow.

Indexed as

Delivery of Health CareEvidence-Based PracticeGeneral SurgeryHumansMedical Records Systems, ComputerizedPatient Safetyevidence-based practiceinformation systempatient safetyrisk factorssurgery

Identifiers

PMID31237241
PMCPMC6613327
OpenAlexW2946370561

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.