Iman Al Kouatly1, Nada Nassar2, Maya Nizam3, Lina Kurdahi Badr4. 1. Nursing Director, Nursing Services Department, American University of Beirut Medical Center, Beirut, Lebanon. 2. Nurse Quality Manager, Nursing Services Department, American University of Beirut Medical Center, Beirut, Lebanon. 3. Executive Assistant, Nursing Services Department, American University of Beirut Medical Center, Beirut, Lebanon. 4. Professor, School of Nursing, Azusa Pacific University, Asuza, CA, USA.
Abstract
BACKGROUND: Conclusive evidence on the effect of nurse staffing ratios on nurse-sensitive outcomes (NSOs) has not yet been achieved worldwide. AIMS: To describe the relationship between nurse staffing and NSOs at a Magnet designated, university hospital a low-income country. METHODS: A 48-month prospective study assessed the relationship between nurse staffing and six patient outcomes or NSOs in medical-surgical units and critical care units (CCUs). Nurse staffing was measured by nursing hours per patient day (NHPPD) and skill mix, whereas NSOs were total falls and injury falls per 1,000 patient days, percent of surveyed patients with hospital-acquired pressure injuries (HAPI), catheter-associated urinary tract infections, ventilator-associated pneumonia, and central line-associated bloodstream infections (CLABSI) per 1,000 central line days. RESULTS: The odds for total falls, injury falls, HAPI, and CLABSI in the medical-surgical units were higher with lower NHPPD ratios, OR = 4.67, p = .000; OR = 4.33, p = .001; OR = 3.77, p = .004 and OR = 2.61, p = .006, respectively. For the CCUs, lower rates of NHPPD increased the odds for total falls, OR = 6.25, p = .0007, HAPIs OR = 3.91, p = .001 and CLABSI, OR = 4.78, p = .000. Skill mix was associated with total falls, OR = 2.40, p = .005 and HAPIs OR = 2.07, p = .03 in the medical-surgical units but had no effect in any NSOs in the CCUs. LINKING EVIDENCE TO ACTION: Higher rates of nurses per patient were effective in improving some NSOs but not others. Skill mix had no effect on any of the six NSOs in the CCUs. As such, the results remain inconclusive as the benefits of the higher nurse to patient ratios in this low-income country warranting further multisite studies in different settings and countries.
BACKGROUND: Conclusive evidence on the effect of nurse staffing ratios on nurse-sensitive outcomes (NSOs) has not yet been achieved worldwide. AIMS: To describe the relationship between nurse staffing and NSOs at a Magnet designated, university hospital a low-income country. METHODS: A 48-month prospective study assessed the relationship between nurse staffing and six patient outcomes or NSOs in medical-surgical units and critical care units (CCUs). Nurse staffing was measured by nursing hours per patient day (NHPPD) and skill mix, whereas NSOs were total falls and injury falls per 1,000 patient days, percent of surveyed patients with hospital-acquired pressure injuries (HAPI), catheter-associated urinary tract infections, ventilator-associated pneumonia, and central line-associated bloodstream infections (CLABSI) per 1,000 central line days. RESULTS: The odds for total falls, injury falls, HAPI, and CLABSI in the medical-surgical units were higher with lower NHPPD ratios, OR = 4.67, p = .000; OR = 4.33, p = .001; OR = 3.77, p = .004 and OR = 2.61, p = .006, respectively. For the CCUs, lower rates of NHPPD increased the odds for total falls, OR = 6.25, p = .0007, HAPIs OR = 3.91, p = .001 and CLABSI, OR = 4.78, p = .000. Skill mix was associated with total falls, OR = 2.40, p = .005 and HAPIs OR = 2.07, p = .03 in the medical-surgical units but had no effect in any NSOs in the CCUs. LINKING EVIDENCE TO ACTION: Higher rates of nurses per patient were effective in improving some NSOs but not others. Skill mix had no effect on any of the six NSOs in the CCUs. As such, the results remain inconclusive as the benefits of the higher nurse to patient ratios in this low-income country warranting further multisite studies in different settings and countries.
Authors: Abdulazeez Imam; Sopuruchukwu Obiesie; Jalemba Aluvaala; Jackson Michuki Maina; David Gathara; Mike English Journal: BMJ Open Date: 2022-10-12 Impact factor: 3.006