Dataset Information

Mitigating Burnout in an Oncological Unit: A Scoping Review

ABSTRACT: Objectives: The purpose of this study was to provide a scoping review on how to address and mitigate burnout in the profession of clinical oncology. Also, it examines how artificial intelligence (AI) can mitigate burnout in oncology. Methods: We searched Ovid Medline, PubMed, Scopus, and Web of Science, for articles that examine how to address burnout in oncology. Results: A total of 17 studies were found to examine how burnout in oncology can be mitigated. These interventions were either targeted at individuals (oncologists) or organizations where the oncologists work. The organizational interventions include educational (psychosocial and mindfulness-based course), art therapies and entertainment, team-based training, group meetings, motivational package and reward, effective leadership and policy change, and staff support. The individual interventions include equipping the oncologists with adequate training that include—communication skills, well-being and stress management, burnout education, financial independence, relaxation, self-efficacy, resilience, hobby adoption, and work-life balance for the oncologists. Similarly, AI is thought to be poised to offer the potential to mitigate burnout in oncology by enhancing the productivity and performance of the oncologists, reduce the workload and provide job satisfaction, and foster teamwork between the caregivers of patients with cancer. Discussion: Burnout is common among oncologists and can be elicited from different types of situations encountered in the process of caring for patients with cancer. Therefore, for these interventions to achieve the touted benefits, combinatorial strategies that combine other interventions may be viable for mitigating burnout in oncology. With the potential of AI to mitigate burnout, it is important for healthcare providers to facilitate its use in daily clinical practices. Conclusion: These combinatorial interventions can ensure job satisfaction, a supportive working environment, job retention for oncologists, and improved patient care. These interventions could be integrated systematically into routine cancer care for a positive impact on quality care, patient satisfaction, the overall success of the oncological ward, and the health organizations at large.

SUBMITTER: Alabi R

PROVIDER: S-EPMC8517258 | biostudies-literature |

REPOSITORIES: biostudies-literature

ACCESS DATA

Similar Datasets

Project description:ObjectivesTo collate and synthesise available literature on burnout and compassion fatigue (CF) among organ and tissue donation coordinators (OTDCs) and to respond to the research question: what is known about burnout and CF among OTDCs worldwide?DesignScoping review using Joanna Briggs Institute methodology for scoping reviews.Data sourcesMedline, EMBASE, PsycINFO, CINAHL, LILACS, PTSpubs and grey literature (ResearchGate, OpenGrey, Organ Donation Organization (ODO) websites, open access theses and dissertations) up to April 2020.Study selectionStudies reporting aspects of burnout and CF among OTDCs, including risk and protective factors.Data extractionTwo reviewers independently screened the studies for eligibility and extracted data from chosen sources using a data extraction tool developed for this study; NVIVO was used to perform a qualitative directed content analysis.ResultsThe searches yielded 741 potentially relevant records, of which 29 met the inclusion criteria. The majority of articles were from the USA (n=7, 24%), Canada (n=6, 21%) and Brazil (n=6, 21%), published between 2013 and 2020 (n=13, 45%) in transplant journals (n=11, 38%) and used a qualitative design approach (n=12, 41%). In the thematic analysis, we classified the articles into five categories: (1) burnout characteristics, (2) CF characteristics, (3) coping strategies, (4) protective factors and (5) ambivalence.ConclusionWe identified aspects of burnout and CF among OTDCs, including defining characteristics, demographic predispositions, protective factors, coping strategies, precursors, consequences and personal ambivalences. Researchers described burnout and CF characteristics but did not use consistent terms when referring to CF and burnout, which may have hindered the identification of all relevant sources. This gap should be addressed by the application of consistent terminology, systematic approaches and appropriate research methods that combine quantitative and qualitative investigation to examine the underlying reasons for the development of burnout and CF among OTDCs.

Project description:BackgroundThe occupational burnout epidemic is a growing issue, and in the United States, up to 60% of medical students, residents, physicians, and registered nurses experience symptoms. Wearable technologies may provide an opportunity to predict the onset of burnout and other forms of distress using physiological markers.ObjectiveThis study aims to identify physiological biomarkers of burnout, and establish what gaps are currently present in the use of wearable technologies for burnout prediction among health care professionals (HCPs).MethodsA comprehensive search of several databases was performed on June 7, 2022. No date limits were set for the search. The databases were Ovid: MEDLINE(R), Embase, Healthstar, APA PsycInfo, Cochrane Central Register of Controlled Trials, Cochrane Database of Systematic Reviews, Web of Science Core Collection via Clarivate Analytics, Scopus via Elsevier, EBSCOhost: Academic Search Premier, CINAHL with Full Text, and Business Source Premier. Studies observing anxiety, burnout, stress, and depression using a wearable device worn by an HCP were included, with HCP defined as medical students, residents, physicians, and nurses. Bias was assessed using the Newcastle Ottawa Quality Assessment Form for Cohort Studies.ResultsThe initial search yielded 505 papers, from which 10 (1.95%) studies were included in this review. The majority (n=9) used wrist-worn biosensors and described observational cohort studies (n=8), with a low risk of bias. While no physiological measures were reliably associated with burnout or anxiety, step count and time in bed were associated with depressive symptoms, and heart rate and heart rate variability were associated with acute stress. Studies were limited with long-term observations (eg, ≥12 months) and large sample sizes, with limited integration of wearable data with system-level information (eg, acuity) to predict burnout. Reporting standards were also insufficient, particularly in device adherence and sampling frequency used for physiological measurements.ConclusionsWith wearables offering promise for digital health assessments of human functioning, it is possible to see wearables as a frontier for predicting burnout. Future digital health studies exploring the utility of wearable technologies for burnout prediction should address the limitations of data standardization and strategies to improve adherence and inclusivity in study participation.

Project description:ObjectiveHealthcare provider (HCP) burnout is on the rise with electronic medical record (EMR) use being cited as a factor, particularly with the rise of the COVID-19 pandemic. Burnout in HCPs is associated with negative patient outcomes, and, therefore, it is crucial to understand and address each factor that affects HCP burnout. This study aims to (a) assess the relationship between EMR use and burnout and (b) explore interventions to reduce EMR-related burnout.MethodsWe searched MEDLINE (Ovid), CINAHL and SCOPUS on 29 July 2021. We selected all studies in English from any publication year and country that discussed burnout in HCPs (physicians, nurse practitioners and registered nurses) related to EMR use. Studies must have reported a quantitative relationship to be included. Studies that implemented an intervention to address this burnout were also included. All titles and abstracts were screened by two reviewers, and all full-text articles were reviewed by two reviewers. Any conflicts were addressed with a third reviewer and resolved through discussion. Quality of evidence of all included articles was assessed using the Quality Rating Scheme for Studies and Other Evidence.FindingsThe search identified 563 citations with 416 citations remaining after duplicate removal. A review of abstracts led to 59 studies available for full-text assessment, resulting in 25 studies included in the scoping review. Commonly identified associations between EMR-related burnout in HCPs included: message and alert load, time spent on EMRs, organisational support, EMR functionality and usability and general use of EMRs. Two articles employed team-based interventions to improve burnout symptoms without significant improvement in burnout scores.Conclusions and relevanceCurrent literature supports an association between EMR use and provider burnout. Very limited evidence exists for burnout-reducing interventions that address factors such as time spent on EMRs, organisational support or EMR design.

Project description:BackgroundTransitions of care between providers are vulnerable periods in healthcare delivery that expose patients to preventable errors and adverse events. Patient discharge from the intensive care unit (ICU) to a medical or surgical hospital ward is one of the most challenging and high risk transitions of care. Approximately 1 in 12 patients discharged will be readmitted to ICU or die before leaving the hospital. Many more patients are exposed to unnecessary healthcare, adverse events and/or are disappointed with the quality of their care. Our objective is to conduct a scoping review by systematically searching the literature to identify ICU discharge planning tools and their supporting evidence-base including barriers and facilitators to their use.Methods and analysisSystematic searching of the published health literature will be conducted to identify the existing ICU discharge planning tools and supporting evidence. Literature (research and non-research) reporting on the tools used to facilitate decision making and/or communication at ICU discharge with patients of any age will be included. Outcomes will include adverse events and provider and patient/family-reported outcomes. Two investigators will independently review the abstracts (screen 1) to identify those meeting the inclusion criteria and then independently assess the full text articles (screen 2) to determine if they meet the inclusion criteria. Data collection will include information on citations and identified tools. A quality assessment will be performed on original research studies. A descriptive summary will be developed for each tool.Ethics and disseminationOur scoping review will synthesise the literature for ICU discharge planning tools and identify the opportunities for knowledge to action and gaps in evidence where primary evidence is necessary. This will serve as the foundational element in a multistep research programme to standardise and improve the quality of care provided to patients during ICU discharge. Ethics approval is not required for this study.

Project description:Objectives: The overall objectives of this rapid scoping review are to (a) identify the common triggers of stress, burnout, and depression faced by women in health care during the COVID-19 pandemic, and (b) explore individual-, organizational-, and systems-level interventions that can support the well-being of women HCWs during a pandemic. Design: This scoping review is registered on Open Science Framework (OSF) and was guided by the JBI guide to scoping reviews and reported using the Preferred Reporting Items for Systematic reviews and Meta-Analysis (PRISMA) extension to scoping reviews. A systematic search of literature databases (Medline, EMBASE, CINAHL, PsycInfo and ERIC) was conducted from inception until June 12, 2020. Two reviewers independently assessed full-text articles according to predefined criteria. Interventions: We included review articles and primary studies that reported on stress, burnout, and depression in HCWs; that primarily focused on women; and that included the percentage or number of women included. All English language studies from any geographical setting where COVID-19 has affected the population were reviewed. Primary and secondary outcome measures: Studies reporting on mental health outcomes (e.g., stress, burnout, and depression in HCWs), interventions to support mental health well-being were included. Results: Of the 2,803 papers found, 28 were included. The triggers of stress, burnout and depression are grouped under individual-, organizational-, and systems-level factors. There is a limited amount of evidence on effective interventions that prevents anxiety, stress, burnout and depression during a pandemic. Conclusions: Our preliminary findings show that women HCWs are at increased risk for stress, burnout, and depression during the COVID-19 pandemic. These negative outcomes are triggered by individual level factors such as lack of social support; family status; organizational factors such as access to personal protective equipment or high workload; and systems-level factors such as prevalence of COVID-19, rapidly changing public health guidelines, and a lack of recognition at work.

Dataset Information

Mitigating Burnout in an Oncological Unit: A Scoping Review

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets