Objective: We aimed to evaluate quality of sleep and self-perception risk of medication errors, in a significantly-sized sample of nurses in Italy, using a web survey.
Subjects And Methods: An anonymous questionnaire about self-perception of quality of sleep (Pittsburgh Sleep Quality Index - PSQI) and risk of medication errors (based on the 7 R-rule), was made up and delivered by social media, i.e., Facebook and Instagram. Risk of medication errors was intended as near misses, i.e., accidents that do not cause the patient harm.
Results: A poor quality of sleep stated by PSQI score >5, was present in 87.9% of subjects and the risk of medication errors during the last shift was reported in 76% of them. However, more than half of nurses' sample (60.1%) reported a good or excellent self-perception quality of sleep. Risk of medication errors was associated with poor quality of sleep and it was independently associated with short resting time after night shift and bad self-perception quality of sleep (OR 3.165, 95% CI 1.468-6.827, p=0.003).
Conclusions: Absence of proper resting is crucial on performance even if nurses perceived a good quality sleep. The relationship between shift work, poor sleep quality, and risk of medication errors represents crucial point for all health professionals' community, and web-survey represents a valuable information in order to capture the risk of medication errors. Health care organizations should encourage such a type of research in order to show a more proactive approach towards patient safety.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.26355/eurrev_202006_21699 | DOI Listing |
Brief Bioinform
November 2024
Department of Dermatology, Daping Hospital, Army Medical University, No. 10, Changjiang Branch Road, Yuzhong District, Chongqing 400042, China.
Psoriasis affects a significant proportion of the worldwide population and causes an extremely heavy psychological and physical burden. The existing therapeutic schemes have many deficiencies such as limited efficacies and various side effects. Therefore, novel ways of treating psoriasis are urgently needed.
View Article and Find Full Text PDFPulmonology
December 2025
Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Guidelines for the follow-up of pulmonary subsolid nodule (SSN) vary in terms of frequency and criteria for discontinuation. We aimed to evaluate the growth risk of SSNs and define appropriate follow-up intervals and endpoints. The immediate risk (IR) and cumulative risk (CR) of SSN growth were assessed using the Kaplan-Meier method according to nodule consistency and size.
View Article and Find Full Text PDFJAMA Netw Open
January 2025
Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute Landmark Center, Boston, Massachusetts.
JAMA Netw Open
January 2025
Department of Gastroenterology, Qilu Hospital of Shandong University, Jinan, Shandong, China.
Importance: High-quality colonoscopy reduces the risks of colorectal cancer by increasing the adenoma detection rate. Routine use of an automatic quality control system (AQCS) to assist in colorectal adenoma detection should be considered.
Objective: To evaluate the effect of an AQCS on the adenoma detection rate among colonoscopists who were moderate- and low-level detectors during routine colonoscopy.
JAMA Netw Open
January 2025
Clinical Product Development, Waymark, San Francisco, California.
Importance: Rising prescription medication costs under Medicaid have led to increased procedural prescription denials by health plans. The effect of unresolved denials on chronic condition exacerbation and subsequent acute care utilization remains unclear.
Objective: To examine whether procedural prescription denials are associated with increased net spending through downstream acute care utilization among Medicaid patients not obtaining prescribed medication following a denial.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!