Objective
To examine the association between registered nurse staffing and healthcare-associated bloodstream infections in infants in the neonatal intensive care unit (NICU).
Design
Prospective cohort study.
Setting
Two level III-IV NICUs in New York, NY, from March 1, 2001, through January 31, 2003.
Participants
A total of 2675 infants admitted to the NICUs for more than 48 hours and all registered nurses who worked in the same NICUs during the study period.
Intervention
Hours of care provided by registered nurses.
Main Outcome Measure
Time to first episode of healthcare-associated bloodstream infection.
Results
A total of 224 infants had an infection that met the study definition of healthcare-associated bloodstream infection. In a multivariate analysis, after controlling for infants' intrinsic and extrinsic risk factors, a greater number of hours of care provided by registered nurses in NICU 2 was associated with a decreased risk of bloodstream infection in these infants (hazard ratio, 0.21; 95% confidence interval, 0.06-0.79).
Conclusion
Our findings suggest that registered nurse staffing is associated with the risk of bloodstream infection in infants in the NICU.
Healthcare-associated infections are a significant cause of morbidity and mortality among infants in the neonatal intensive care unit (NICU).1,2 Infants hospitalized in the NICU have the highest rates of healthcare-associated infection among the pediatric population, with infection rates ranging from 6 to more than 30 infections per 100 patient discharges.3 Among infants in the NICU, the bloodstream is the most common site of healthcare-associated infection in all birth weight groups.4
Evidence of a significant association between nurse staffing and adverse patient outcomes has been reported.5-7 However, to date only a few studies have examined the association between nurse staffing and healthcare-associated infections in infants.8-11 Furthermore, no prospective studies, to our knowledge, have specifically examined the association between nurse staffing and bloodstream infections in the NICU. This study examined the association between registered nurse staffing and bloodstream infections among infants in the NICU.
This cohort study used data collected as part of a larger clinical trial to assess the effects of 2 hand hygiene regimens on healthcare-associated infections in infants in the NICU.12 The study used a randomly assigned crossover design in which either a traditional antiseptic soap containing 2% chlorhexidine gluconate or a waterless hand rinse containing 61% ethyl alcohol was used by all staff and visitors sequentially for half of the study period (11 months for each product).
The study was conducted in 2 level III-IV NICUs located in New York, NY. Both NICU 1 (43 beds) and NICU 2 (50 beds) are affiliated with the New York–Presbyterian Hospital and provide specialized medical treatment to severely compromised infants. Data on nurse staffing were provided by the nurse staffing office of each NICU, and data were classified as follows: hours per day for full-time registered nurses, full-time other (ie, nurse managers), per-diem registered nurses, float registered nurses, and agency registered nurses. Staffing data were collected on all infants who were hospitalized in the NICU for more than 48 hours from March 1, 2001, through January 31, 2003. Institutional review board approval was obtained from the participating institutions.
In this study, we examined only the first episode of healthcare-associated bloodstream infection. Data on bloodstream infections were collected by the study nurse epidemiologist, and the National Nosocomial Infection Surveillance System definitions were used.13 Clinical data were obtained from infants' medical records, and laboratory, radiology, and pharmacy data were collected from the hospitals' computer information systems (ECLIPSYS; Eclipsys Corp, Boca Raton, Fla; WEBCIS; Columbia University Department of Informatics, New York; HealthQuest; McKesson Information Solutions, Alpharetta, Ga; and Eagle; Siemens AG, Munich, Germany). A computerized list of all blood cultures positive for organisms from infants was generated by the clinical microbiology laboratories and reviewed twice weekly by the nurse epidemiologist, who also made unit rounds at least once weekly.
Interrater agreement (κ = 0.97) regarding presence or absence of bloodstream infection was established by comparing data collected simultaneously by the study nurse epidemiologist and the hospital infection control staff for 3 months. Discrepancies regarding infection status were resolved by the consensus of 2 physician coinvestigators (including L.S.).
Four risk factors reported to be associated with bloodstream infection in infants were examined: birth weight,14-17 intravascular catheterization,16-19 major surgery,20,21 and total parenteral nutrition.17,19 Birth weight was stratified into 4 groups: less than 1000 g, 1000 to 1500 g, 1501 to 2500 g, and more than 2500 g. Catheters were classified as umbilical, tunneled (Hickman and Broviac), and peripherally inserted central. The performance of major surgery, defined as an operating room procedure other than circumcision or minor abdominal surgery,22 was determined from the infant's diagnosis related group. Total parenteral nutrition was recorded as the number of days of total parenteral nutrition received before bloodstream infection, or on discharge in infants without a bloodstream infection.
Two additional variables were examined: (1) the hand hygiene product used by staff when each bloodstream infection was diagnosed and (2) registered nurse hours, defined as registered nurse care hours per infant per day. Registered nurse hours were adjusted for patient case mix based on diagnosis related group and nursing intensity weight as described elsewhere.5-7,23 The 2001 nursing intensity weights, which reflect the amount of nursing care required for typical patients in each diagnosis related group, ranged from 1.96 to 32.40.
Continuous variables were presented as the mean and standard deviation and categorical variables were expressed as percentages. Infant characteristics were compared by χ2, Fisher exact, and unpaired t tests. Data from each day of each infant's admission were linked with the corresponding registered nurse staffing data (adjusted for case mix) for the same days before bloodstream infection or censoring (eg, death or discharged with no infection). The window of exposure was calculated as the mean of registered nurse hours from 48 to 144 hours before bloodstream infection.
A Cox proportional hazards regression model was used to identify risk factors associated with bloodstream infection. The proportional hazards assumption was validated both graphically and through fitting a discrete-time model as described by Allison.24 Confounder selection was based on the criteria described by Mickey and Greenland25; variables significant (P<.25) in the preliminary analysis were included in the multivariate model. Intravascular catheterization, total parenteral nutrition, and registered nurse hours were modeled as time-dependent covariates.
In this analysis, the risk of bloodstream infection was modeled for each infant, and then parameter estimates of the covariates birth weight, intravascular catheterization, total parenteral nutrition, hand hygiene product, NICU site, and adjusted registered nurse hours were calculated for that same infant. If a neonate had more than one bloodstream infection, only the first was included in these analyses.
Because intravascular catheters in infants have been reported as a risk factor for bloodstream infection,16-18 the incidence density was also defined as number of bloodstream infections per 1000 catheter days, as per National Nosocomial Infections Surveillance System protocol.3 All calculations were performed with Stata release 9 statistical software (StataCorp LP, College Station, Tex).
A total of 3155 admissions to the study NICU were recorded during the study period. After excluding infants who were admitted for 48 hours or less, the final sample included 2675 admissions. Of these, 224 infants (8.4%) had a total of 298 bloodstream infections. Coagulase-negative staphylococci (45.0%) were the most common pathogens, followed by gram-negative bacteria (23.2%), yeast (13.5%), Staphylococcus aureus (9.5%), and enterococci (7.7%). The incidence rate of bloodstream infection was 6.11 per 1000 patient days and 16.56 per 1000 catheter days. Of the 48 infant deaths that occurred during this study, 16 involved infants with a bloodstream infection.
Characteristics of infants
The characteristics of infants enrolled in this study are summarized in Table 1. Overall, 55.9% of the infants in this sample were male, their mean gestational age was 34.8 weeks (range, 23-42 weeks), and their mean birth weight was 2401 g (range, 428-5513 g). Overall, 309 infants (11.6%) had a birthweight of less than 1000 g; 330 (12.3%), 1000 to 1500 g; 812 (30.3%), 1501 to 2500 g; and 1224 (45.8%), greater than 2500 g. The length of stay before bloodstream infection ranged from 2 to 312 days (mean, 14.7 days). Central venous catheters were inserted in 1543 infants (57.6%): 783 (50.7%) were umbilical, 45 (2.9%) tunneled, and 715 (46.3%) peripherally inserted central catheters. In addition, 468 infants (17.5%) had major surgery and 1284 (48.0%) received total parenteral nutrition during their hospitalization.
Characteristics of registered nurse staffing
Nursing acuity and registered nurse hours are summarized in Table 2. Overall, the mean nursing acuity in the 2 NICUs was 5.3 (range, 2.04-32.4). The mean number of infants occupying beds in the NICUs was 37 (range, 21-49), and the mean number of registered nurse hours per infant per day was 10.8 (range, 7.3-15.0).
In the preliminary analysis, surgery, tunneled catheters, and the hand hygiene product used by staff were not significantly associated with bloodstream infection (all P>.25). Risk factors significant in the preliminary analyses included birth weight, 2 catheter types (umbilical and peripherally inserted central catheters), total parenteral nutrition, NICU site, and registered nurse hours. We found a significant NICU site × registered nurse hours interaction effect (hazard ratio [HR], 7.12; 95% confidence interval [CI], 1.23-41.42). On the basis of this finding, we adjusted our model in an attempt to obtain an accurate representation of registered nurse staffing in each NICU as described by Greenland and Rothman.26
These significant variables and the hand hygiene product were further analyzed in the multivariate Cox regression model. The hand hygiene product, although not significant in the preliminary analysis (P = .26), was included in the multivariate model because it was the intervention in the parent clinical trial. A summary of results from the multivariate Cox regression model is provided in Table 3. In this model, 3 risk factors were independently associated with bloodstream infection. Birth weight of less than 1000 g (HR, 2.64; 95% CI, 1.77-3.94), birth weight of 1000 to 1500 g (HR, 1.82; 95% CI, 1.15-2.89), number of days of peripherally inserted central catheter use (HR, 1.83; 95% CI, 1.31-2.56), and number of days of total parenteral nutrition use (HR, 12.62; 95% CI, 6.93-22.98) were significantly associated with an increased risk of bloodstream infection. Among the 4 birth weight groups, infants weighing less than 1000 g were 2.64 times more likely to develop bloodstream infection than the highest birth weight group (>2500 g). Further analysis of the catheter data showed that infants with bloodstream infection had peripherally inserted central catheters in place for significantly more days than uninfected infants (mean, 12 and 3 days, respectively; P<.001).
In addition, the number of registered nurse hours in NICU 2 was significantly associated with a decreased risk (HR, 0.21; 95% CI, 0.06-0.79) of bloodstream infection. We found that more registered nurse hours per nursing intensity weight was associated with a 79% reduction in the risk of bloodstream infection in NICU 2. Umbilical catheter use, hand hygiene product, NICU site, and registered nurse hours in NICU 1 were not associated with risk of bloodstream infection. A survival curve comparing registered nurse hours at NICU 2 and number of days to first bloodstream infection is shown in the Figure.
To our knowledge, this is the first prospective study to examine registered nurse staffing and the risk of endemic bloodstream infection in infants in the NICU. We found low birth weight, peripherally inserted central catheters, and total parenteral nutrition to be significantly associated with bloodstream infection. These findings are consistent with previous research on infants in the NICU.17,19,27-33
After controlling for infants' intrinsic and extrinsic risk factors, we found that the number of hours of care provided by registered nurses was significantly associated with the risk of bloodstream infection in one of our study NICUs. This finding is consistent with other studies on nurse staffing. Nursing workload has been associated with higher rates of infection34-36 and increased mortality.37,38 The use of pooled or temporary nurses has been significantly associated with infection,8,34,39,40 possibly because of lapses in aseptic technique by those unfamiliar with the routine care policies of the nursing unit. In the NICU, it has been reported that bloodstream infection is associated with understaffing, overcrowding, and the moving of infants between rooms.8,9,11 Furthermore, understaffing has been linked to several infectious outbreaks8,11 and the transmission of antibiotic-resistant organisms among premature infants.8,10 Our findings suggest that increasing registered nurse staffing by 1 full-time equivalent could possibly reduce the risk of bloodstream infection by 11% in NICU 2.
The fact that the number of registered nurse hours was not associated with bloodstream infection in NICU 1 (HR, 1.53; 95% CI, 0.39-6.07) may have several explanations. When compared with the infants in NICU 2, those in NICU 1 were significantly smaller and more acutely ill, with more invasive devices, which could outweigh the effect of registered nurse staffing. In addition, the infants in NICU 1 had consistently fewer registered nurse hours of care per day than those in NICU 2. This lack of variation in registered nurse hours in NICU 1 may have made it more difficult to detect an association between registered nurse hours and bloodstream infection in these infants. Surprisingly, we found that when nursing acuity increased, registered nurse hours remained the same in NICU 1 and decreased in NICU 2. This unrecognized increase in nursing acuity could have increased the risk of bloodstream infection in both NICUs. It has been reported that scores on acuity measures are associated with the risk of healthcare-associated infection in infants. Gray and colleagues41 report in a study of low-birth-weight infants that assessing illness severity with the Score for Neonatal Acute Physiology provides information on the risk of bloodstream infection beyond that provided by birth weight alone. Griffin and Moorman42 reported that Score for Neonatal Acute Physiology values rise 24 hours before bloodstream infection. It has also been reported that the Clinical Risk Index for Babies is predictive of bloodstream infection in low-birth-weight infants.43 Hospital staffing decisions are typically determined by the number of patients in a unit; however, the foregoing findings suggest that hospitals should consider implementing a patient classification system that is acuity driven to determine nurse staffing need.
This study had several limitations. First, it was conducted in 2 NICUs with high-risk infants, which limits generalizability to other hospital units and patient populations. Second, although the level of nurse education has been associated with adverse patient outcomes,44 the educational level of nurses was unmeasured in this study. Third, the 2 study NICUs were environmentally different in a number of ways (NICU 2 was newly renovated and more spacious than NICU 1).
In conclusion, our findings suggest that registered nurse staffing is associated with the risk of bloodstream infection among infants in the NICU. We hypothesize that inadequate nurse staffing and increased nurse workload in a critical care environment results in poor hand hygiene compliance, breaks in aseptic technique, or compromises in practice that might increase the risk of transmitting infection. Further research is warranted that examines the association between registered nurse staffing and healthcare-associated infection to improve the quality of care and the outcomes of infants in the NICU.
Correspondence: Jeannie P. Cimiotti, DNS, RN, Center for Health Outcomes and Policy Research, School of Nursing, University of Pennsylvania, 420 Guardian Dr, Philadelphia, PA 19104-6096 (jcimiott@nursing.upenn.edu).
Accepted for Publication: January 17, 2006.
Author Contributions:Study concept and design: Cimiotti, Saiman, and Larson. Acquisition of data: Cimiotti and Haas. Analysis and interpretation of data: Cimiotti. Drafting of the manuscript: Cimiotti. Critical revision of the manuscript for important intellectual content: Cimiotti, Haas, Saiman, and Larson. Obtained funding: Larson. Administrative, technical, and material support: Cimiotti, Haas, Saiman, and Larson. Study supervision: Saiman and Larson.
Funding/Support: This study was supported by grant 1 R01 NR05197-03 from the National Institute of Nursing Research, National Institutes of Health (Staff Hand Hygiene and Nosocomial Infection in Neonates).
Acknowledgment: Leo Lichtig, PhD (vice president, Aon Consulting), and Jack Needleman, PhD (associate professor, University of California at Los Angeles), acted as expert consultants on this study. John E. Marcotte, PhD (director, Statistical Computing Group, University of Pennsylvania), and Tim Cheney (data analyst, Center for Health Outcomes and Policy Research, School of Nursing, University of Pennsylvania) provided statistical support, and 3M Health Information Systems provided the DRG Finder software that was used in analysis. We are extremely grateful to the neonatal nurses and the management staff of New York–Presbyterian Hospital.
1.Pessoa-Silva
CLMiyasaki
CHde Almeida
MFKopelman
BIRaggio
RLWey
SB Neonatal late-onset bloodstream infection: attributable mortality, excess of length of stay and risk factors
Eur J Epidemiol 2001;17715- 720
PubMedGoogle ScholarCrossref 2.Stoll
BJHansen
N Infections in VLBW infants: studies from the NICHD Neonatal Research Network
Semin Perinatol 2003;27293- 301
PubMedGoogle ScholarCrossref 3.NNIS System, National Nosocomial Infections Surveillance (NNIS) System Report, data summary from January 1992 through June 2003, issued August 2003
Am J Infect Control 2003;31481- 498
PubMedGoogle ScholarCrossref 4.Gaynes
RPEdwards
JRJarvis
WRCulver
DHTolson
JSMartone
WJ Nosocomial infections among neonates in high-risk nurseries in the United States: National Nosocomial Infections Surveillance System
Pediatrics 1996;98357- 361
PubMedGoogle Scholar 5.Knauf
RALichtig
LKRisen-McCoy
RSinger
ADWozniak
L Implementing Nursing's Report Card: A Study of RN Staffing, Length of Stay and Patient Outcomes. Washington, DC American Nurses Association1997;
7.Needleman
JBuerhaus
PMattke
SStewart
MZelevinsky
K Nurse-staffing levels and the quality of care in hospitals
N Engl J Med 2002;3461715- 1722
PubMedGoogle ScholarCrossref 8.Andersen
BMLindemann
RBergh
K
et al. Spread of methicillin-resistant
Staphylococcus aureus in a neonatal intensive unit associated with understaffing, overcrowding and mixing of patients
J Hosp Infect 2002;5018- 24
PubMedGoogle ScholarCrossref 9.Haley
RWBregman
DA The role of understaffing and overcrowding in recurrent outbreaks of staphylococcal infection in a neonatal special-care unit
J Infect Dis 1982;145875- 885
PubMedGoogle ScholarCrossref 10.Haley
RWCushion
NBTenover
FC
et al. Eradication of endemic methicillin-resistant
Staphylococcus aureus infections from a neonatal intensive care unit
J Infect Dis 1995;171614- 624
PubMedGoogle ScholarCrossref 11.Harbarth
SSudre
PDharan
SCadenas
MPittet
D Outbreak of
Enterobacter cloacae related to understaffing, overcrowding, and poor hygiene practices
Infect Control Hosp Epidemiol 1999;20598- 603
PubMedGoogle ScholarCrossref 12.Larson
ELCimiotti
JHaas
J
et al. Effect of antiseptic handwashing vs alcohol sanitizer on health care–associated infections in neonatal intensive care units
Arch Pediatr Adolesc Med 2005;159377- 383
PubMedGoogle ScholarCrossref 14.Lehner
RLeitich
HJirecek
SWeninger
MKaider
A Retrospective analysis of early-onset neonatal sepsis in very low birth-weight infants
Eur J Clin Microbiol Infect Dis 2001;20830- 832
PubMedGoogle ScholarCrossref 15.Watson
RSCarcillo
JALinde-Zwirble
WTClermont
GLidicker
JAngus
DC The epidemiology of severe sepsis in children in the United States
Am J Respir Crit Care Med 2003;167695- 701
PubMedGoogle ScholarCrossref 16.Urrea
MIriondo
MThio
M
et al. A prospective incidence study of nosocomial infections in a neonatal care unit
Am J Infect Control 2003;31505- 507
PubMedGoogle ScholarCrossref 17.Nagata
EBrito
ASMatsuo
T Nosocomial infections in a neonatal intensive care unit: incidence and risk factors
Am J Infect Control 2002;3026- 31
PubMedGoogle ScholarCrossref 18.Wisplinghoff
HSeifert
HTallent
SMBischoff
TWenzel
RPEdmond
MB Nosocomial bloodstream infections in pediatric patients in United States hospitals: epidemiology, clinical features and susceptibilities
Pediatr Infect Dis J 2003;22686- 691
PubMedGoogle ScholarCrossref 19.Brodie
SBSands
KEGray
JE
et al. Occurrence of nosocomial bloodstream infections in six neonatal intensive care units
Pediatr Infect Dis J 2000;1956- 65
PubMedGoogle ScholarCrossref 20.Oppido
GNapoleone
CPFormigari
R
et al. Outcome of cardiac surgery in low birth weight and premature infants
Eur J Cardiothorac Surg 2004;2644- 53
PubMedGoogle ScholarCrossref 21.Christie
CHammond
JReising
SEvans-Patterson
J Clinical and molecular epidemiology of enterococcal bacteremia in a pediatric teaching hospital
J Pediatr 1994;125392- 399
PubMedGoogle ScholarCrossref 22. AP-DRGs: All Patient Diagnosis Related Groups Definitions Manual. Version 18.0 Wallingford, Conn 3M Health Information Systems2000;
23.Lichtig
LKKnauf
RARisen-McCoy
RWozniak
L Nurse Staffing and Patient Outcomes in the Inpatient Hospital Setting. Washington, DC American Nurses Association2000;
24.Allison
PA Event History Analysis Regression for Longitudinal Event Data. Newbury Park, Calif Sage Publications1984;
25.Mickey
RMGreenland
S The impact of confounder selection criteria on effect estimation
Am J Epidemiol 1989;129125- 137
PubMedGoogle Scholar 26.Greenland
SRothman
KJRothman
KJedGreenland
Sed Concepts in interaction
Modern Epidemiology. Philadelphia, Pa Lippincott Williams & Wilkins1998;329- 342
Google Scholar 27.Carrieri
MPStolfi
IMoro
MLItalian Study Group on Hospital Acquired Infections in Neonatal Intensive Care Units, Intercenter variability and time of onset: two crucial issues in the analysis of risk factors for nosocomial sepsis
Pediatr Infect Dis J 2003;22599- 609
PubMedGoogle Scholar 28.Pawa
AKRamji
SPrakash
KThirupuram
S Neonatal nosocomial infection: profile and risk factors
Indian Pediatr 1997;34297- 302
PubMedGoogle Scholar 29.Moro
MLDe Toni
AStolfi
ICarrieri
MPBraga
MZunin
C Risk factors for nosocomial sepsis in newborn intensive and intermediate care units
Eur J Pediatr 1996;155315- 322
PubMedGoogle ScholarCrossref 30.Stoll
BJHansen
NFanaroff
AA
et al. Late-onset sepsis in very low birth weight neonates: the experience of the NICHD Neonatal Research Network
Pediatrics 2002;110285- 291
PubMedGoogle ScholarCrossref 31.Stoll
BJGordon
TKorones
SB
et al. Late-onset sepsis in very low birth weight neonates: a report from the National Institute of Child Health and Human Development Neonatal Research Network
J Pediatr 1996;12963- 71
PubMedGoogle ScholarCrossref 32.Avila-Figueroa
CGoldmann
DARichardson
DKGray
JEFerrari
AFreeman
J Intravenous lipid emulsions are the major determinant of coagulase-negative staphylococcal bacteremia in very low birth weight newborns
Pediatr Infect Dis J 1998;1710- 17
PubMedGoogle ScholarCrossref 33.Beck-Sague
CMAzimi
PFonseca
SN
et al. Bloodstream infections in neonatal intensive care unit patients: results of a multicenter study
Pediatr Infect Dis J 1994;131110- 1116
PubMedGoogle ScholarCrossref 34.Fridkin
SKPear
SMWilliamson
THGalgiani
JNJarvis
WR The role of understaffing in central venous catheter-associated bloodstream infections
Infect Control Hosp Epidemiol 1996;17150- 158
PubMedGoogle ScholarCrossref 35.Vicca
AF Nursing staff workload as a determinant of methicillin-resistant
Staphylococcus aureus spread in an adult intensive therapy unit
J Hosp Infect 1999;43109- 113
PubMedGoogle ScholarCrossref 36.Arnow
PAllyn
PANichols
EMHill
DLPezzlo
MBartlett
RH Control of methicillin-resistant
Staphylococcus aureus in a burn unit: role of nurse staffing
J Trauma 1982;22954- 959
PubMedGoogle ScholarCrossref 37.Aiken
LHClarke
SPSloane
DMSochalski
JSilber
JH Hospital nurse staffing and patient mortality, nurse burnout, and job dissatisfaction
JAMA 2002;2881987- 1993
PubMedGoogle ScholarCrossref 38.Tarnow-Mordi
WOHau
CWarden
AShearer
AJ Hospital mortality in relation to staff workload: a 4-year study in an adult intensive-care unit
Lancet 2000;356185- 189
PubMedGoogle ScholarCrossref 39.Li
JBirkhead
GSStrogatz
DSColes
FB Impact of institution size, staffing patterns, and infection control practices on communicable disease outbreaks in New York State nursing homes
Am J Epidemiol 1996;1431042- 1049
PubMedGoogle ScholarCrossref 40.Robert
JFridkin
SKBlumberg
HM
et al. The influence of the composition of the nursing staff on primary bloodstream infection rates in a surgical intensive care unit
Infect Control Hosp Epidemiol 2000;2112- 17
PubMedGoogle ScholarCrossref 41.Gray
JERichardson
DKMcCormick
MCGoldman
DA Coagulase-negative staphylococcal bacteremia among very low birth weight infants: relation to admission illness severity, resource use, and outcome
Pediatrics 1995;95225- 230
PubMedGoogle Scholar 42.Griffin
MPMoorman
JR Toward the early diagnosis of neonatal sepsis and sepsis-like illness using a novel heart rate analysis
Pediatrics 2001;10797- 103
PubMedGoogle ScholarCrossref 43.Auriti
CMaccallini
ADiLiso
GDiCiommo
VRonchetti
MPOrazalesi
M Risk factors for nosocomial infections in the neonatal intensive-care unit
J Hosp Infect 2003;5325- 30
PubMedGoogle ScholarCrossref 44.Aiken
LHClarke
SPCheung
RBSloane
DMSilber
JH Educational levels of hospital nurses and surgical patient mortality
JAMA 2003;2901617- 1623
PubMedGoogle ScholarCrossref