ObjectiveTo identify the risk factors associated with complaints, malpractice claims and impaired performance in medical practitioners.DesignSystematic review.Data sourcesOvid-Medline, Ovid Embase, Scopus and Cochrane Central Register of Controlled Trials were searched from 2011 until March 2020. Reference lists and Google were also handsearched.ResultsSixty-seven peer-reviewed papers and three grey literature publications from 2011 to March 2020 were reviewed by pairs of independent reviewers. Twenty-three key factors identified, which were categorised as demographic or workplace related. Gender, age, years spent in practice and greater number of patient lists were associated with higher risk of malpractice claim or complaint. Risk factors associated with physician impaired performance included substance abuse and burn-out.ConclusionsIt is likely that risk factors are interdependent with no single factor as a strong predictor of a doctor’s risk to the public. Risk factors for malpractice claim or complaint are likely to be country specific due to differences in governance structures, processes and funding. Risk factors for impaired performance are likely to be specialty specific due to differences in work culture and access to substances. New ways of supporting doctors might be developed, using risk factor data to reduce adverse events and patient harm.PROSPERO registration numberPROSPERO registration number: CRD42020182045.
IntroductionFall injuries are one of the leading causes of hospitalisation for adults aged ≥65 years. Distinguishing key characteristics of older adults who are either living in aged care or in the community who have multiple hospital readmissions after a fall injury may inform targeted approaches to the prevention of hospital readmissions. Objectives and ApproachTo examine trajectories of hospital readmission of older adults living in aged care or the community after a fall injury hospitalisation and to identify factors predictive of trajectory group membership. A group-based trajectory analysis of hospital readmissions of adults aged ≥65 years who had a fall injury hospitalisation during 2008-09 in New South Wales, Australia was conducted. Linked hospitalisation and aged care data were examined for a 5 year period to 2013. Group-based trajectory models were derived based on number of subsequent readmissions following the index admission. Multinominal logistic regression examined predictors of trajectory group membership. ResultsThere were 24,729 fall injury hospitalisations; 78.8% of fallers were living in the community and 21.2% in aged care. Five distinct trajectory groups were identified for community-living (i.e. Moderate-declining, Chronic, Low-constant, Low-declining, and High users) and four trajectory groups for aged care residents (i.e. Low, Moderate-declining, Moderate-chronic, and High users). Key predictors of trajectory group membership for both community-living and aged care residents were age group, number of comorbidities, and dementia status. For aged care residents, depression, assistance with activities of daily living, and number of subsequent fall injury admissions were also predictors of group membership, with time to move to an aged care facility a predictor of group membership for community-living. Conclusion / ImplicationsIdentifying trajectories of ongoing hospital use informs targeting of strategies to reduce hospital admissions and design of services to allow community-living individuals to remain as long as possible within their own residence.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.