Browsing by Author "Fisher, Anita L."
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Item Critical care nurses' reasons for working or not working overtime(American Association of Critical Care Nurses, 2018) Lobo, Vanessa M.; Ploeg, Jenny; Fisher, Anita L.; Peachey, Gladys; Akhtar-Danesh, NooriBACKGROUND Around the world, registered nurses are working increasing amounts of overtime. This is particularly true in critical care environments, which experience unpredictable fluctuations in patient volume and acuity, combined with a need for more specialized nurses. OBJECTIVE To explore critical care nurses' reasons for working or not working overtime. METHODS A semistructured interview guide was used to interview 28 frontline nurses from 11 critical care units in Ontario, Canada. Analysis was guided by Thorne's interpretive description methodology. RESULTS Participants' reasons for working overtime included (1) financial gain (96% of participants); (2) helping and being with colleagues (68%); (3) continuity for nurses and patients (39%); and (4) accelerated career development (39%). Their reasons for not working overtime were (1) feeling tired and tired of being at work (50%); (2) having established plans (71%); and (3) not receiving enough notice (61%). CONCLUSIONS Findings from this study provide important variations and extension of existing literature on the topic, and appear to be the first reported in Canadian critical care units. Additional research is required to understand administrative decision-making processes that lead to the use of overtime. © 2018 American Association of Critical-Care Nurses.Item Potential dangers of nursing overtime in critical care(NLM (Medline), 2018-09-01) D'Sa, Vanessa M.; Ploeg, Jenny; Fisher, Anita L.; Akhtar-Danesh, Noori; Peachey, GladysAround the world, registered nurses are working increasing amounts of overtime. This is particularly true in critical care environments, which experience unpredictable fluctuations in patient volume and acuity combined with a need for greater numbers of specialized nurses. Although it is commonplace, little consensus exists surrounding the effects of overtime on nursing sick time and patient outcomes. Using data from 11 different critical care units nestled within three major academic health science centres in Southern Ontario, a multilevel-model Poisson regression analysis was used to evaluate the association between nursing overtime and nursing sick time, patient mortality and patient infection incidents. Most significantly, for every 10 hours of nursing overtime worked, study findings revealed an associated 3.3-hour increase in nursing sick time. Because of the potential cost and patient care ramifications, hospitals and nurse managers are encouraged to track collective and individual paid and unpaid hours to impose appropriate limits and ensure accountability. Further qualitative research should be commissioned to explore the underlying reasons for these findings and diversify the settings and, in turn, wider application. Copyright © 2018 Longwoods Publishing.