scholarly journals Patient safety during procedural sedation using capnography monitoring: a systematic review and meta-analysis

BMJ Open ◽  
2017 ◽  
Vol 7 (6) ◽  
pp. e013402 ◽  
Author(s):  
Rhodri Saunders ◽  
Michel M R F Struys ◽  
Richard F Pollock ◽  
Michael Mestek ◽  
Jenifer R Lightdale
2016 ◽  
Vol 150 (4) ◽  
pp. S101-S102
Author(s):  
Rhodri Saunders ◽  
Michel M. Struys ◽  
Richard Pollock ◽  
Michael L. Mestek ◽  
Jenifer R. Lightdale

2020 ◽  
Vol 31 (4) ◽  
pp. 193-207
Author(s):  
Omid Khosravizadeh ◽  
Mohammad Mohseni ◽  
Najmeh Baghian ◽  
Aisa Maleki ◽  
Ailar Hashtroodi ◽  
...  

BACKGROUND: The prerequisite for promoting safety culture is to assess the existing safety culture level of institutes, because safety precautions without appropriate evaluation increase costs and unforeseen risks. OBJECTIVE: This study aimed to systematically review the status of patient safety culture from the perspective of clinical personnel at Iranian hospitals through a meta-analysis of studies using the Hospital Survey on Patient Safety Culture (HSOPSC) questionnaire. METHODS: The present systematic review and meta-analysis was conducted in 2018. Data were gathered by searching Google Scholar, Scopus, PubMed, and Web of Science databases up to November 2018. Search keywords were “patient”, “safety”, “culture”, “healthcare”, “hospital”, “medical center”, “HSOPSC tool”, and “Iran”. The search protocol was limited to 10 years. To estimate the PSC score, computer software CMA:2 (Comprehensive Meta-Analysis) was used. The presence of heterogeneity across the studies was assessed with the I2 statistic. A forest plot was used to report the results. Publication bias was assessed through a funnel plot. RESULTS: The meta-analysis of studies showed that the PSC score based on the random effect model was 52.7% (95% CI: 50.2%–55.2%), (Q = 522.3, df = 54, P < 0.05, I2 = 89.6). A mean of 12 dimensions of HSOPSC showed that the “Teamwork within units” dimension had the highest PSC score (67.2%) and “Non-punitive response to error” had the lowest score (40.4%). CONCLUSIONS: Managers and policymakers should be directed towards non-punitive responses to errors and persuade staff to report errors and execute the approach to learn from mistakes. Also, a periodic government evaluation of the patient safety culture will help further its sustainable development.


2020 ◽  
pp. 103985622096533
Author(s):  
Karen Oldfield ◽  
John Ryan ◽  
Marjan Doppen ◽  
Stacey Kung ◽  
Irene Braithwaite ◽  
...  

Objectives: To review the literature regarding label accuracy and contamination of medical cannabinoid-based products. Methods: A systematic review with meta-analysis following PRISMA guidelines. This study is registered with PROSPERO (CRD42019131565). Results: Five studies reported label accuracy data ranging between 17% and 86%. Four studies reported contaminants, including pesticides, solvents and AB-FUBINACA. Meta-analysis was limited to the proportion of pesticide-contaminated samples found in two studies (0.25 (95% CI [0.10, 0.40])) and displayed significant heterogeneity. Conclusions: Label inaccuracies and contaminants are found across a spectrum of cannabinoid-based products. The review highlights the paucity and heterogeneity of research relating to cannabinoid-based products in light of changing global legislation. Further robust research is required to support ongoing pharmacovigilance and patient safety.


Author(s):  
Cecilia Vindrola-Padros ◽  
Kelly E Singh ◽  
Manbinder S Sidhu ◽  
Theo Georghiou ◽  
Chris Sherlaw-Johnson ◽  
...  

ABSTRACTObjectivesThe aim of this review was to analyse the implementation and impact of remote home monitoring models (virtual wards) during COVID-19, identifying their main components, processes of implementation, target patient populations, impact on outcomes, costs and lessons learnt. The review will be kept ‘live’ through regular updates.DesignThe review was designed as a living systematic review to capture a rapidly evolving evidence base. We used the Preferred Reporting Items for Systematic Reviews and Meta- Analysis (PRISMA) statement.SettingThe review included remote home monitoring models led by primary and secondary care across seven countries.Participants17 examples of remote home monitoring models were included in the review.Main outcome measuresImpact of remote home monitoring on virtual length of stay, escalation, Emergency department attendance/reattendance, admission/readmission and mortality.ResultsThe primary aim of the remote home monitoring models was the early identification of deterioration for patients self-managing COVID-19 symptoms at home. Most models were led by secondary care. Broad criteria for the eligible patient population were used and confirmation of COVID-19 was not required (in most cases). Monitoring was carried via online platforms, paper-based systems with telephone calls or (less frequently) through wearable sensors. We could not reach conclusions regarding patient safety and the identification of early deterioration due to lack of standardised reporting across articles and missing data. None of the articles reported any form of economic analysis, beyond how the resources were used.ConclusionsThe review pointed to variability in the implementation of the models, in relation to healthcare sector, monitoring approach and selected outcome measures. Lack of standardisation on reporting prevented conclusions on the impact of remote home monitoring on patient safety or early escalation during COVID-19. Future research should focus on staff and patient experiences of care and potential inequalities in patients’ access to these models. Attention needs to be paid to the processes used to implement these models, the evaluation of their impact on patient outcomes through the use of comparators, the use of risk-stratification tools, and cost-effectiveness of the models and their sustainability.Protocol registrationThe review protocol was published on PROSPERO (CRD: 42020202888).


2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Sunhee Kim ◽  
Seokyung Hahn ◽  
Myoung-jin Jang ◽  
Yunhee Choi ◽  
Hyunsook Hong ◽  
...  

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