7 research outputs found
A global overview of healthcare workers’ turnover intention amid COVID-19 pandemic: a systematic review with future directions
Background: globally, the health workforce has long suffered from labour shortages. This has been exacerbated by the workload increase caused by the COVID-19 pandemic. Major collapses in healthcare systems across the world during the peak of the pandemic led to calls for strategies to alleviate the increasing job attrition problem within the healthcare sector. This turnover may worsen given the overwhelming pressures experienced by the health workforce during the pandemic, and proactive measures should be taken to retain healthcare workers. This review aims to examine the factors affecting turnover intention among healthcare workers during the COVID-19 pandemic.Methods: a mixed studies systematic review was conducted. The PubMed, Embase, Scopus, CINAHL, Web of Science and PsycINFO databases were searched from January 2020 to March 2022. The Joanna Briggs Institute’s Critical Appraisal Tools and the Mixed Methods Appraisal Tool version 2018 were applied by two independent researchers to critically appraise the methodological quality. Findings were synthesised using a convergent integrated approach and categorised thematically.Results: forty-three studies, including 39 quantitative, two qualitative and two mixed methods studies were included in this review. Eighteen were conducted in the Middle East, ten in the Americas, nine in the Asia–Pacific region and six in Europe. Nurses (n = 35) were included in the majority of the studies, while physicians (n = 13), allied health workers (n = 11) and healthcare administrative or management staff (n = 7) were included in a smaller proportion. Five themes emerged from the data synthesis: (1) fear of COVID-19 exposure, (2) psychological responses to stress, (3) socio-demographic characteristics, (4) adverse working conditions, and (5) organisational support.Conclusions: a wide range of factors influence healthcare workers’ turnover intention in times of pandemic. Future research should be more focused on specific factors, such as working conditions or burnout, and specific vulnerable groups, including migrant healthcare workers and healthcare profession minorities, to aid policymakers in adopting strategies to support and incentivise them to retain them in their healthcare jobs
A global overview of healthcare workers’ turnover intention amid COVID-19 pandemic: a systematic review with future directions
Data to support Systematic review. Search Strategy and Data Extraction from Selected Papers </span
Global migration and factors influencing retention of Asian internationally educated nurses: a systematic review
Abstract Background Given nurses’ increasing international mobility, Asian internationally educated nurses (IENs) represent a critical human resource highly sought after within the global healthcare workforce. Developed countries have grown excessively reliant on them, leading to heightened competition among these countries. Hence, this review aims to uncover factors underlying the retention of Asian IENs in host countries to facilitate the development of more effective staff retention strategies. Methods A mixed-methods systematic review was conducted using the Joanna Briggs Institute methodology for mixed-method systematic review. A search was undertaken across the following electronic databases for studies published in English during 2013–2022: CINAHL, Embase, PubMed, Scopus, Web of Science and PsycINFO. Two of the researchers critically appraised included articles independently using the Joanna Briggs Critical Appraisal Tools and Mixed Methods Appraisal Tool (version 2018). A data-based convergent integrated approach was adopted for data synthesis. Results Of the 27 included articles (19 qualitative and eight quantitative), five each were conducted in Asia (Japan, Taiwan, Singapore and Malaysia), Australia and Europe (Italy, Norway and the United Kingdom); four each in the United States and the Middle East (Saudi Arabia and Kuwait); two in Canada; and one each in New Zealand and South Africa. Five themes emerged from the data synthesis: (1) desire for better career prospects, (2) occupational downward mobility, (3) inequality in career advancement, (4) acculturation and (5) support system. Conclusion This systematic review investigated the factors influencing AMN retention and identified several promising retention strategies: granting them permanent residency, ensuring transparency in credentialing assessment, providing equal opportunities for career advancement, instituting induction programmes for newly employed Asian IENs, enabling families to be with them and building workplace social support. Retention strategies that embrace the Asian IENs’ perspectives and experiences are envisioned to ensure a sustainable nursing workforce
Harmonization of Busulfan Plasma Exposure Unit (BPEU) : A Community-Initiated Consensus Statement
Busulfan therapeutic drug monitoring (TDM) is often used to achieve target plasma exposures. Variability in busulfan plasma exposure units (BPEU) is a potential source for misinterpretation of publications and protocols and is a barrier to data capture by hematopoietic cell transplantation (HCT) registry databases. We sought to harmonize to a single BPEU for international use. Using Delphi consensus methodology, iterative surveys were sent to an increasing number of relevant clinical stakeholders. In survey 1, 14 stakeholders were asked to identify ideal properties of a BPEU. In survey 2, 52 stakeholders were asked (1) to evaluate BPEU candidates according to ideal BPEU properties established by survey 1 and local position statements for TDM and (2) to identify potential facilitators and barriers to adoption of the harmonized BPEU. The most frequently used BPEU identified, in descending order, were area under the curve (AUC) in μM × min, AUC in mg × h/L, concentration at steady state (Css) in ng/mL, AUC in μM × h, and AUC in μg × h/L. All respondents conceptually agreed on the ideal properties of a BPEU and to adopt a harmonized BPEU. Respondents were equally divided between selecting AUC in μM × min versus mg × h/L for harmonization. AUC in mg × h/L was finally selected as the harmonized BPEU, because it satisfied most of the survey-determined ideal properties for the harmonized BPEU and is read easily understood in the clinical practice environment. Furthermore, 10 major professional societies have endorsed AUC in mg × h/L as the harmonized unit for reporting to HCT registry databases and for use in future protocols and publications
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Relations of Current and Past Cancer with Severe Outcomes among 104,590 Hospitalized COVID-19 Patients: The COVID EHR Cohort at the University of Wisconsin
BackgroundThere is mixed evidence about the relations of current versus past cancer with severe COVID-19 outcomes and how they vary by patient and cancer characteristics.MethodsElectronic health record data of 104,590 adult hospitalized patients with COVID-19 were obtained from 21 United States health systems from February 2020 through September 2021. In-hospital mortality and ICU admission were predicted from current and past cancer diagnoses. Moderation by patient characteristics, vaccination status, cancer type, and year of the pandemic was examined.Results6.8% of the patients had current (n = 7,141) and 6.5% had past (n = 6,749) cancer diagnoses. Current cancer predicted both severe outcomes but past cancer did not; adjusted odds ratios (aOR) for mortality were 1.58 [95% confidence interval (CI), 1.46-1.70] and 1.04 (95% CI, 0.96-1.13), respectively. Mortality rates decreased over the pandemic but the incremental risk of current cancer persisted, with the increment being larger among younger vs. older patients. Prior COVID-19 vaccination reduced mortality generally and among those with current cancer (aOR, 0.69; 95% CI, 0.53-0.90).ConclusionsCurrent cancer, especially among younger patients, posed a substantially increased risk for death and ICU admission among patients with COVID-19; prior COVID-19 vaccination mitigated the risk associated with current cancer. Past history of cancer was not associated with higher risks for severe COVID-19 outcomes for most cancer types.ImpactThis study clarifies the characteristics that modify the risk associated with cancer on severe COVID-19 outcomes across the first 20 months of the COVID-19 pandemic. See related commentary by Egan et al., p. 3