Interventions to Reduce and Limit Rationed and Missed Nursing Care: State of the Art and Future Perspectives

Ausserhofer, Dietmar; Bragadóttir, Helga; Dhaini, Suzanne; Harvey, Clare; Lehocki, Fedor; Schubert, Maria

doi:10.1007/978-3-030-71073-6_7

Cited by 3 publications

(2 citation statements)

References 91 publications

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“…Better staffing is correlated with better teamwork (Ausserhofer et al, 2021) and also associated with improved patient outcomes (Kane et al, 2007). Results from several studies (Kalisch & Lee, 2010) and a systematic review (Zhao et al, 2021) confirm that effective teamwork may reduce implicitly rationed care.…”

Section: Ta B L E 5 Correlation Between Reasonsmentioning

confidence: 99%

Inadequate number of staff and other reasons for implicit rationing of nursing care across hospital types and units

et al. 2023

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Aim The aim of the study was to find differences in perceived reasons for implicit rationing of nursing care across hospital types and units. Design A descriptive multicentre study. Methods The study in 14 Czech acute care hospitals was conducted from September 2019 to October 2020. The sample consisted of 8316 nurses working in medical and surgical units. Items for rating the reasons for implicit rationing of nursing care were selected from the MISSCARE Survey. Nurses were asked to rate each item on a scale from 0 (a not significant reason) to 10 (the most significant reason). Results The most significant reasons for implicit rationing of nursing care were ‘Inadequate number of staff’, ‘Inadequate number of assistive personnel’ and ‘Unexpected patient admission and discharge’. Most reasons were rated as more significant by nurses from non‐university hospitals. Nurses from medical units perceived all reasons for implicit rationing of nursing care as more significant.

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Section: Ta B L E 5 Correlation Between Reasonsmentioning

confidence: 99%

Inadequate number of staff and other reasons for implicit rationing of nursing care across hospital types and units

et al. 2023

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“…Therefore, other healthcare workers with enough skills and capabilities help. Pritts (2020) and Ausserhofer et al (2021) introduced teamwork development for better care and the prevention of adverse health outcomes to decrease missed nursing care and promote patient safety (8,31).…”

Section: Help-seeking In Performing Clinical Proceduresmentioning

confidence: 99%

Healthcare Workers’ Experiences of Strategies in Caring for Patients with Obesity: A Qualitative Content Analysis

2023

ircmj

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Background: Healthcare workers try their best to deal with the challenges of caring for patients with obesity (PWO). However, no study has addressed the strategies used in taking care of PWO. Healthcare workers’ experiences of these strategies can facilitate the challenges of caring for these patients. Objectives: This study aimed to explain healthcare workers’ experiences of the strategies used in caring for PWO. Methods: A conventional content analysis (Graneheim and Lundman’s approach) was conducted during 2018-2021. A total of 25 personnel (including nurses, physicians, and nursing assistants) who experienced working with PWO at least for three years in two large teaching hospitals in Iran were selected by purposeful sampling. Semi-structured interviews were conducted to collect the data and the MAXQDA software (version 10) was used to analyze them. Results: The findings introduced help-seeking to provide care as the most important strategy used by healthcare workers to deal with the challenges of caring for PWO. The four categories included help-seeking in performing clinical procedures, help-seeking in general care with assistance, help-seeking in the patient’s treatment course, and help-seeking for patient safety. Conclusion: Healthcare workers, particularly nurses, seek help from others to meet all the care and treatment needs of patients and provide better care with the least negative consequences for patients and themselves.

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Artificial Intelligence and Machine Learning-Based Systems for Controlling Medical Robot Beds for Preventing Bedsores

Jaichandran

Rayavarapu

Salve³

et al. 2022

2022 5th International Conference on Contemporary Computing and Informatics (IC3I)

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Interventions to Reduce and Limit Rationed and Missed Nursing Care: State of the Art and Future Perspectives

Cited by 3 publications

References 91 publications

Inadequate number of staff and other reasons for implicit rationing of nursing care across hospital types and units

Inadequate number of staff and other reasons for implicit rationing of nursing care across hospital types and units

Healthcare Workers’ Experiences of Strategies in Caring for Patients with Obesity: A Qualitative Content Analysis

Artificial Intelligence and Machine Learning-Based Systems for Controlling Medical Robot Beds for Preventing Bedsores

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