To analyse the patient-nurse ratio and its association with health outcomes in public hospitals of the Andalusian Health Service (SAS).
Cross-sectional ecological study carried out in adult units of 26 Andalusian public hospitals. Data on structure (beds, type of unit, nursing control), management (average stay, index of use of stays, complexity index) and nursing staff were collected. They were extracted from official sources: CMBDA, SAS/Health Council (CS) publications and specific respondents to Nursing Directorates. The patient-nurse ratio was calculated and related to 19 indicators of hospital quality, safety, and mortality. Measures of central tendency and Spearman\'s correlation coefficient were used for statistical analysis.
A response was obtained from 100% of the Andalusian hospitals. The average patient-nurse ratio in the three shifts was lower in hospitals with a broader portfolio of services-regional scope (11.6), followed by those with a medium portfolio-specialties (12.7) and hospitals with a basic portfolio-county (13.5). By type of unit, the medical units were 11.8 (SD = 1.8) lower than the surgical ones 13.5 (SD = 2.7). Significant differences were only found in medical units of regional hospitals 10.5 (SD = 1.4) and district hospitals 13.03 (SD = 1.46) (p = .001). In critical care, the ratio was greater than 2 patients per nurse in the three groups. When relating the ratio to health outcomes, 5 significant associations were found: pressure ulcers (p = .005), prevalence of nosocomial infections (p = .036), postoperative sepsis (p = .022), zero bacteraemia verification (p = .045) and mortality from heart failure (p = .004).
The results indicate a high patient-nurse ratio in adult hospitalization units and that there is a positive association between the patient-nurse ratio and worse results related to nursing care.

OBJECTIVE: To analyse the patient-nurse ratio and its association with health outcomes in public hospitals of the Andalusian Health Service (SAS).
METHODS: Cross-sectional ecological study carried out in adult units of 26 Andalusian public hospitals. Data on structure (beds, type of unit, nursing control), management (average stay, index of use of stays, complexity index) and nursing staff were collected. They were extracted from official sources: CMBDA, SAS/Health Council (CS) publications and specific respondents to Nursing Directorates. The patient-nurse ratio was calculated and related to 19 indicators of hospital quality, safety, and mortality. Measures of central tendency and Spearman\'s correlation coefficient were used for statistical analysis.
RESULTS: A response was obtained from 100% of the Andalusian hospitals. The average patient-nurse ratio in the three shifts was lower in hospitals with a broader portfolio of services-regional scope (11.6), followed by those with a medium portfolio-specialties (12.7) and hospitals with a basic portfolio- county (13.5). By type of unit, the medical units were 11.8 (SD=1.8) lower than the surgical ones 13.5 (SD=2.7). Significant differences were only found in medical units of regional hospitals 10.5 (SD=1.4) and district hospitals 13.03 (SD=1.46) (p=.001). In critical care, the ratio was greater than 2 patients per nurse in the three groups. When relating the ratio to health outcomes, 5 significant associations were found: pressure ulcers (p=.005), prevalence of nosocomial infections (p=.036), postoperative sepsis (p=.022), zero bacteraemia verification (p=.045) and mortality from heart failure (p=.004).
CONCLUSIONS: The results indicate a high patient-nurse ratio in adult hospitalization units and that there is a positive association between the patient-nurse ratio and worse results related to nursing care.

OBJECTIVE: Objectives include review of existing benchmarks and nurse-sensitive indicators relevant to the ambulatory care setting. Applying the data to existing ambulatory staffing models with consideration of multiple clinic settings that include medical oncology, infusion, and stem cell transplant clinics. And to describe key considerations needed to optimize oncology care efficiently with an acuity-based staffing model.
METHODS: Published literature indexed in PubMed, CINAHL, textbooks.
CONCLUSIONS: In today\'s complex oncology environment, optimization and utilization of outpatient facilities is essential in providing high-quality care and improving satisfaction of patients as well as providers and staff.
CONCLUSIONS: Nurse leaders should utilize benchmarking data to ensure staffing levels are appropriate, given the size and scope of their facility. Staff nurses should be engaged to ensure that acuity tools are developed in accordance with their experiences and perceptions of patient care.

The appropriate staffing of nurses not only reflects the situation of nursing management of human resource, but also is related to the nursing quality in hospitals. This study investigated the staffing of nurses in large general hospitals in China.
In this study, a database established by the National Centre for Nursing Care Quality Control, which conducted a national survey of the staffing of nurses in China mainland in 2017, was analysed. The time-point survey data of 20 375 departments in 668 large general hospitals in China were obtained, including the information of nurses and patients during the day (10:00 am) and at night (10:00 pm). Then, the staffing of nurses was evaluated by calculating the nurse to patient ratio (the average number of patients assigned to a nurse, NTP ratio). The Kruskal-Wallis test was performed to compare the NTP ratios during the day and at night among different regions and departments.
In large general hospitals, a nurse takes care of eight patients (NTP ratio = 1:8.0) during the day and 23 patients at night (NTP ratio = 1:23) on average. There were significant differences between day and night. In terms of different regions, a nurse in the hospitals in the western region takes care of 7.8 patients during the day (NTP ratio = 1:7.8) on average, and the nursing resource in the western region is more adequate than that in the eastern (1:8.0) and central (1:8.0) regions. At night, the eastern region has a higher level of NTP (1:23.0). In terms of departments, a nurse working in the ICU takes care of two patients during the day (NTP ratio = 1:2.0) and 2.9 patients at night (NTP ratio = 1:2.9). The level of NTP in the oncology department is relatively higher: 9.3 during the day and 34.0 at night. Other departments including internal medicine, surgery, obstetrics and gynaecology, paediatrics, and geriatrics have NTP ratios of 1:7-8 during the day and 1:18-25 at night.
In China, the nurse staffing of large general hospitals has some regional and departmental patterns. The low level of nurse staffing at night may be a problem worthy of attention; the Chinese government needs to establish standards for different periods and departments to improve efficiency and quality of nursing.

Half of the patients experience pain during their ICU stay which is known to influence their outcomes. Nurses and physicians encounter organizational barriers towards pain assessment and treatment. We aimed to evaluate the association between adequate pain management and nurse to patient ratio, bed occupancy rate, and fulltime presence of an intensivist.
We performed unadjusted and case-mix adjusted mixed-effect logistic regression modeling on data from thirteen Dutch ICUs to investigate the association between ICU organizational characteristics and adequate pain management, i.e. patient-shift observations in which patients\' pain was measured and acceptable, or unacceptable and normalized within 1 h. All ICU patients admitted between December 2017 and June 2018 were included, excluding patients who were delirious, comatose or had a Glasgow coma score < 8 at the first day of ICU admission.
Case-mix adjusted nurse to patient ratios of 0.70 to 0.80 and over 0.80 were significantly associated with adequate pain management (OR [95% confidence interval] of respectively 1.14 [1.07-1.21] and 1.16 [1.08-1.24]). Bed occupancy rate and intensivist presence showed no association.
Higher nurse to patient ratios increase the percentage of patients with adequate pain management especially in medical and mechanically ventilated patients.

BACKGROUND: Overcrowding, reduced nurse to patient ratio, limited distance between incubators and absence of microbiological surveillance have been shown to promote spread of multidrug-resistant gram-negative organisms (MDRGN) in patients with birthweight < 1500 g. Patients > 1500 g treated on an intermediate care unit are unrepresented in recent literature. We therefore intended to present data obtained from a short-term overcrowded neonatal intermediate care unit (NIMCU) at a level III (international categorization) perinatal center at University Hospital Frankfurt, Germany.
METHODS: During a 25 day overcrowding (OV) and 28 day post-overcrowding period (POST-OV) on NIMCU, epidemiological data obtained from continuously hold microbiological surveillance were investigated and compared to the last 12 months of ward-regular bed occupancy preceding OV (PRAE-OV).
RESULTS: During OV, the number of patients simultaneously treated at the NIMCU increased from 18 to 22, resulting in a reduced bed-to-bed space. Nurse: patient ratio was 4:22 during OV compared to 3:18 during PRAE-OV. Cumulative incidence of MDRGN was 4.7% in OV and 2.4% POST-OV compared to 4.8% to PRAE-OV, respectively, without any significant variations. During OV and POST-OV, septic episodes due to MDRGN were not observed. In one case, potential nosocomial transmission of Enterobacter cloacae resistant to Piperacillin and 3rd/4th generation cephalosporins was observed.
CONCLUSIONS: Prevention of nosocomial spread of MDRGN in an overcrowded NIMCU is based on staff\'s diligent training and adequate staffing. Concise microbiological surveillance should be guaranteed to escort through overcrowding periods. In our setting, impact of bed-to-bed distance on MDRGN transmission seemed to be less strong.

OBJECTIVE: To estimate the effect of the provision of a one-to-one nurse-to-patient ratio on mortality rates in neonatal intensive care units.
METHODS: A population-based analysis of operational clinical data using an instrumental variable method.
METHODS: National Health Service neonatal units in England contributing data to the National Neonatal Research Database at the Neonatal Data Analysis Unit and participating in the Neonatal Economic, Staffing, and Clinical Outcomes Project.
METHODS: 43 tertiary-level neonatal units observed monthly over the period January 2008 to December 2012.
METHODS: Proportion of neonatal intensive care days or proportion of intensive care admissions for which one-to-one nursing was provided.
RESULTS: Monthly in-hospital intensive care mortality rate.
RESULTS: Over the study period, the provision of one-to-one nursing in tertiary neonatal units declined from a median of 9.1% of intensive care days in 2008 to 5.9% in 2012. A 10 percentage point decrease in the proportion of intensive care days on which one-to-one nursing was provided was associated with an increase in the in-hospital mortality rate of 0.6 (95% CI 1.2 to 0.0) deaths per 100 infants receiving neonatal intensive care per month compared with a median monthly mortality rate of 4.5 deaths per 100 infants per month. The results remained robust to sensitivity analyses that varied the estimation sample of units, the choice of instrumental variables, unit classification and the selection of control variables.
CONCLUSIONS: Our study suggests that decreases in the provision of one-to-one nursing in tertiary-level neonatal intensive care units increase the in-hospital mortality rate.