Nurses’ clinical decision-making models in the care of older adults: A cross-sectional study

Publish Year: 1403
نوع سند: مقاله ژورنالی
زبان: English
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شناسه ملی سند علمی:

JR_JNRCP-2-3_004

تاریخ نمایه سازی: 12 خرداد 1403

Abstract:

Clinical decision-making is referred to as a correct judgment based on knowledge and cognitive skills. It has an effective role in providing safe and effective nursing care. Often these decision-making skills are based on critical thinking and evidence-based practice. Therefore, due to the importance of the present issue, this study aimed to assess the nurses’ clinical decision-making models in the care of older adults. This cross-sectional study was conducted on ۳۸۴ nurses working in the teaching hospitals of Gorgan University of Medical Sciences in ۲۰۲۱. Data was collected by the standard questionnaire of clinical decision-making model. Pearson's correlation coefficient test was used to evaluate the relationship between clinical decision making and study variables. Also, Mann–Whitney U test was used to evaluate the difference between clinical decision making and study variables. The mean age and work experience of the participants were ۳۲.۲ (SD=۱.۵) and ۹.۱ (SD=۱.۷) years, respectively. The mean score of clinical decision-making among the nurses was ۷۰.۷۴ (SD=۴.۵۴). Most of the clinical decision-making models in nurses were found to be intuitive (۷۵.۵%). There was not a significant relationship between clinical decision-making model and the variables of age (P=۰.۴۷), work experience (P=۰.۱۶), and average working hours per month (P=۰.۹۳). Also, there was not a significant difference between the decision-making model and the variables of gender (P=۰.۶) and marital status (P=۰.۵۴). Considering the high level of clinical decision-making, it can be argued that correct decision-making makes the patient’s recovery faster and reduces the length of hospital stay. The advantages of correct decision-making include reducing treatment costs and lowering environmental stress and contamination with hospital infections.

Authors

Nikoo Latifi

Nursing Research Center, Golestan University of Medical Sciences, Gorgan, Iran

Ghanbar Roohi

Nursing Research Center, Golestan University of Medical Sciences, Gorgan, Iran

Gholam Reza Mahmoodi-Shan

Nursing Research Center, Golestan University of Medical Sciences, Gorgan, Iran

Mahin Tatari

Department of Biostatistics, ۵azar Clinical Research Development Unit (CRDU), Golestan University of Medical Sciences, Gorgan, Iran

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