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Volume 27, Issue 141, November 2023

Association of nurse team level with patient outcome: Systematic review

Nagaa Mohammed Alruhaimi1, Najla Thamer Al-amri2, Masheri Kalaf Almoteri1, Abdulaziz Julaimed Almutairy1, Mohammed Omar Almutairi1, Faten Aden Almutairi3, Amani Ayedh Alotaibi4, Rehab Awad AlMutairi1, Samia Sultan ALOtibie4, Nora Gasim Alotibi5

1Nurse, Wathailan General Hospital, Ministry of health, Saudi Arabia
2Nurse, Abha Psychiatric Hospital, Ministry of health, Saudi Arabia
3Nurse, Khalidiya Primary Health Care Center, Ministry of health, Saudi Arabia
4Nurse, Sajer General Hospital, Ministry of health, Saudi Arabia
5Nurse, Rafaya PHC, Ministry of health, Saudi Arabia

ABSTRACT

Numerous research has shown how registered nurses contribute to safe patient care. However, the majority of the data connecting staffing levels to results is cross-sectional and has inherent limitations, such as the inability to prove that the effect's putative cause (staffing) came first. In this investigation, we looked for and assessed the data from longitudinal studies demonstrating a link between nurse team levels, including the composition of the nursing team, and patient outcomes in ICU. We carefully analysed studies that used a longitudinal technique to assess the connection between nurse team level and patient outcomes. Studies imply repeated cross-sectional analyses were ignored unless a difference-in-difference approach was used. We searched Cochrane Library, CINAHL, Medline and Embase up until 2022. We combined the findings and organised them in a narrative and tabular fashion. Our findings further support the probable causal relationship between low registered nurse staffing and patient mortality provided by estimates of linkages from longitudinal research. In order to address residual uncertainty, future research should be conducted at numerous hospitals and report staffing numbers using standard measures.

Keywords: Nurse staff, nurse team level, patient outcome, systematic review

Medical Science, 2023, 27, e379ms3248
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DOI: https://doi.org/10.54905/disssi.v27i141.e379ms3248

Published: 18 November 2023

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© The Author(s) 2023. Open Access. This article is licensed under a Creative Commons Attribution License 4.0 (CC BY 4.0).