Falls are common and preventable adverse events that occur in a hospital setting. Falls can cause pain, damage, increase cost and mistrust in the health system. Inpatient fall is a multifactorial event which can be reduced with multistrategic interventions.In this project, we aimed to reduce the fall rate in paediatric ward of Jigme Dorji Wangchuck National Referral Hospital, Bhutan by 25% from the baseline over a period of 6 months by focusing on fall risk assessment, staff education on fall prevention measures and devoting more attention to patients at high risk of fall.We tested three sets of interventions using the Plan-Do-Study-Act approach. For the first cycle, emphasis was on staff education in terms of proper use of fall risk assessment form, risk categorisation and fall prevention advice. In the second cycle, in addition to the first we introduced the 'high risk of fall package' and the third cycle focused on early and easy identification of high-risk patients by continuous fall risk assessment and use of high risk of fall sticker.We observed that at the start of the quality improvement project despite our intervention the fall rate of our ward went up but as we continued adding more ideas focusing on high risk patients, we could achieve a fall reduction of 49.3% from the base line by end of third cycle. Our ward saw fall free days of almost 90 days at the end of project.We conclude that inpatient falls occur due to multiple factors therefore a multi-pronged strategy is needed to prevent it. One of the prime preventive strategy is identifying patients who are at high risk of fall and concentrating attention to those patients.
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http://dx.doi.org/10.1136/bmjoq-2022-001892 | DOI Listing |
Genet Med
January 2025
Genomics Ethics, and Translational Research Program, RTI International, Research Triangle Park, NC; Department of Translational and Applied Genomics, Kaiser Permanente Center for Health Research, Portland, OR. Electronic address:
Purpose: Limited evidence evaluates parents' perceptions of their child's clinical genomic sequencing (GS) results, particularly among individuals from medically underserved groups. Five Clinical Sequencing Evidence-Generating Research (CSER) consortium studies performed GS in children with suspected genetic conditions with high proportions of individuals from underserved groups to address this evidence gap.
Methods: Parents completed surveys of perceived understanding, personal utility, and test-related distress after GS result disclosure.
Int J Offender Ther Comp Criminol
January 2025
Diana R. Garland School of Social Work, Baylor University, Houston, TX, USA.
Most studies on the impact of maternal incarceration on adolescent health risk behaviors have focused on singular, separated behaviors, even though these behaviors often cluster and co-occur. This study used the FFCWS dataset to examine the association between maternal incarceration and the aggregation of health risk behaviors among adolescents. Latent class analysis suggested the four-class model had the optimal model fit.
View Article and Find Full Text PDFObjective: This quality improvement initiative aimed to increase the rate of provider screening and documentation of contraception use for reproductive-aged women seen in an academic rheumatology fellows' clinic to >50% by 24 weeks, with sustained improvement at one year.
Methods: With a multidisciplinary team, we devised and implemented six interventional cycles over 24 weeks informed by key stakeholder survey responses. The primary outcome measure was the percentage of eligible visits with contraception information documented in the structured electronic health record field.
Circ Genom Precis Med
January 2025
Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT (A.A., L.S.D., E.K.O., R.K.).
Background: While universal screening for Lp(a; lipoprotein[a]) is increasingly recommended, <0.5% of patients undergo Lp(a) testing. Here, we assessed the feasibility of deploying Algorithmic Risk Inspection for Screening Elevated Lp(a; ARISE), a validated machine learning tool, to health system electronic health records to increase the yield of Lp(a) testing.
View Article and Find Full Text PDFJ Hand Surg Eur Vol
January 2025
Clinical Scientific Computing, Guy's and St Thomas' NHS Foundation Trust, London, UK.
This paper discusses the current literature surrounding the potential use of artificial intelligence and machine learning models in the diagnosis of acute obvious and occult scaphoid fractures. Current studies have notable methodological flaws and are at high risk of bias, precluding meaningful comparisons with clinician performance (the current reference standard). Specific areas should be addressed in future studies to help advance the meaningful and clinical use of artificial intelligence for radiograph interpretation.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!