Lee SH, Lee H, Yu S. Factors associated with nursing needs and nursing hours in acute care hospital settings: A cross-sectional study.
J Nurs Manag 2022;
30:2005-2014. [PMID:
35420223 DOI:
10.1111/jonm.13634]
[Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2022] [Revised: 04/07/2022] [Accepted: 04/11/2022] [Indexed: 11/28/2022]
Abstract
AIM
To identify the patient and hospital characteristics related to nursing needs and nursing hours in acute hospital settings.
BACKGROUND
To determine appropriate staffing levels, accumulating empirical data through direct observation and surveys reflecting the actual situation is necessary.
METHODS
In this cross-sectional study, we conducted direct observations of nurses in acute care hospitals from May 1 to August 31, 2020. Twenty-six hospitals in five cities participated, and 747 nursing personnel collected 1,681 patients' data while performing nursing activities. The data of 1,605 individuals were analyzed using descriptive statistics, t-tests, analysis of variance, and linear regression.
RESULTS
Hospital size, admission day, patients' dependence level, high fall risk, and disease diagnoses were variables associated with nursing needs (F = 73.49, P < 0.001) and nursing hours (F = 57.7, P < 0.001). Comparing the correlates of nursing needs and nursing hours revealed that, unlike nursing needs, nursing hours were not significantly associated with surgery and certain diagnoses.
CONCLUSION
This study confirmed the variables associated with nursing needs and nursing hours in acute hospitals; based on this, determining appropriate staffing levels, which is an important step in improving inpatients' health outcomes, is necessary.
IMPLICATIONS FOR NURSING MANAGEMENT
In acute hospitals, an increased number of nurse staffing should be employed based on the number of newly hospitalized patients, patients with high dependence levels and specific diagnoses, and those at high risk of falling.
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