Approaches to workload in psychiatric and mental health nursing

Pedroso, Tássia Ghissoni; Pedrão, Luiz Jorge; Perroca, Márcia Galan

doi:10.1590/0034-7167-2019-0620

“…The nursing workload is the amount of time, physical and cognitive effort needed to provide nursing care, in addition to activities related to service management and professional development (Pedroso et al, 2020). Excessive nursing workload goes against the values of humanization of care, patient outcomes, patient safety (Arango et al, 2015), quality of care (Romero-Massa et al, 2011), omitted care (Moreno-Monsiváis et al, 2015) and nurses' health (Harvey et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Technological innovation for workload allocation in nursing care management: an integrative review

Galiano

¹

,

Fergusson

²

,

Guerrero

³

et al. 2023

F1000Res

2

0

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Background: Technology reduces the nursing workload, improve the quality care processes, patient's safety, and avoid staff burnout. Innovative technologies are disrupting healthcare systems by improving the efficiency of processes and management. There is a discussion on the benefits, challenges, and barriers of these technologies and considering human factors of nursing management. Methods: To analyse the nursing workload models, the predictors of nursing burnout and outcomes, the new technologies and its acceptance for nursing care management based on the literature. An integrative literature review is performed. Scopus, Scielo, PUBMED, and CINALH databases were searched to perform an integrative review following PRISMA guidelines. Articles published from January 2016 to December 2020 were included. Quality appraisal was performed using the Crowe Critical Appraisal Tool version 1.4 (CCAT). Two reviewers independently examined the title and abstract for eligibility according to the inclusion and exclusion criteria. Quality appraisal was performed using the Crowe Critical Appraisal Tool version 1.4 (CCAT). Results: Initially 2,818 articles were potentially relevant. After following the PRISMA Guidelines, 35 studies were included in the review. Four themes appeared: Nursing workload models; Predictors of nursing burnout and outcomes; Information technologies and technological means for management; Technology acceptance. Conclusions: Technology has the potential to improve care management by estimating nurse workload in ICUs and non-critical units, but scientific evidence is more detailed in the former type of services. The literature provides insights about the factors that factors and the barriers that promote the technology acceptance and usability. We did not find studies comparing technologies and no scientific evidence proving improvements in care.

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Levels and influencing factors of mental workload among intensive care unit nurses: A systematic review and meta‐analysis

Teng

¹

,

Yuan

²

,

He

³

et al. 2023

Int J of Nursing Practice

4

0

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AimThe purpose of this systematic review was to determine the levels and influencing factors of mental workload in intensive care unit nurses.BackgroundIntensive care unit nurses have a high mental workload level. To our knowledge, no meta‐analytic research investigating the levels of mental workload in intensive care unit nurses and related factors has yet been performed.DesignThis article is a systematic review and meta‐analysis.MethodsEleven electronic databases were searched from the database setup dates until 31 December 2022. The research team independently conducted study selection, quality assessments, data extractions and analysis of all included studies. The PRISMA guideline was used to guide reportage of the systematic review and meta‐analysis.ResultsSeventeen studies were included. In these studies, the pooled mean score of mental workload was 68.07 (95%CI:64.39–71.75). Furthermore, subgroup analyses indicated that intensive care unit nurses' mental workload differed significantly by countries, sample size and publication year. The mental workload influential factors considered were demographic, work‐related and psychological factors.ConclusionHospital administrators should develop interventions to reduce mental workload to enhance the mental health of intensive care unit nurses and nursing care quality. Hospital managers should pay attention to the mental health of nurses and guide them to correctly relieve occupational stress and reduce mental workload.

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Technological innovation for workload allocation in nursing care management: an integrative review

Galiano,

Moreno Fergusson,

Guerrero

et al. 2023

F1000Res

0

View full text Add to dashboard Cite

Background: Technology reduces the nursing workload, improve the quality care processes, patient's safety, and avoid staff burnout. Innovative technologies are disrupting healthcare systems by improving the efficiency of processes and management. There is a discussion on the benefits, challenges, and barriers of these technologies and considering human factors of nursing management. Methods: To analyse the nursing workload models, the predictors of nursing burnout and outcomes, the new technologies and its acceptance for nursing care management based on the literature. An integrative literature review is performed. Scopus, Scielo, PUBMED, and CINALH databases were searched to perform an integrative review following PRISMA guidelines. Articles published from January 2016 to December 2020 were included. Quality appraisal was performed using the Crowe Critical Appraisal Tool version 1.4 (CCAT). Two reviewers independently examined the title and abstract for eligibility according to the inclusion and exclusion criteria. Quality appraisal was performed using the Crowe Critical Appraisal Tool version 1.4 (CCAT). Results: Initially 2,818 articles were potentially relevant. After following the PRISMA Guidelines, 35 studies were included in the review. Four themes appeared: Nursing workload models; Predictors of nursing burnout and outcomes; Information technologies and technological means for management; Technology acceptance. Conclusions: Technology has the potential to improve care management by estimating nurse workload in ICUs and non-critical units, but scientific evidence is more detailed in the former type of services. The literature provides insights about the factors that factors and the barriers that promote the technology acceptance and usability. We did not find studies comparing technologies and no scientific evidence proving improvements in care.

show abstract

Approaches to workload in psychiatric and mental health nursing

Cited by 7 publications

References 41 publications

Technological innovation for workload allocation in nursing care management: an integrative review

Technological innovation for workload allocation in nursing care management: an integrative review

Levels and influencing factors of mental workload among intensive care unit nurses: A systematic review and meta‐analysis

Technological innovation for workload allocation in nursing care management: an integrative review

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