Lk. Archibald et al., PATIENT DENSITY, NURSE-TO-PATIENT RATIO AND NOSOCOMIAL INFECTION RISKIN A PEDIATRIC CARDIAC INTENSIVE-CARE UNIT, The Pediatric infectious disease journal, 16(11), 1997, pp. 1045-1048
Background. An investigation of a Serratia marcescens outbreak in a pe
diatric cardiac intensive care unit (CICU) suggested that understaffin
g or overcrowding might have been underlying risk factors, Objective.
To assess the effect of fluctuations in CICU nurse staffing levels and
patient census on CICU nosocomial infection rate (MR), Methods, The m
onthly CICU nursing hours, patient days and nosocomial infections were
obtained from retrospective review of administrative, patient and mic
robiology records during December, 1994, through December, 1995 (study
period), The NIR and nursing hours:patient day ratio were then calcul
ated, The correlations between NIR vs, nursing hours, patient days and
nursing hours:patient day ratio were determined, Results, The median
monthly CICU NIR was 6.9 (range, 0 to 15.2) infections per 1000 patien
t days; the median number of hours worked per month by CICU registered
nurses was 7754 (range, 7133 to 8452) hours; the median number of pat
ient days treated per month was 507 (range, 381 to 590) patient days;
and the median monthly nursing hours:patient day ratio was 15.2:1 (ran
ge, 13.2:1 to 19.9:1), The strongest linear correlation was observed b
etween the monthly NIR and patient days (r = 0.89, P = 0.0001), There
was an inverse correlation between the monthly NIR and nursing hours:p
atient day ratio (r = -0.77, P = 0.003), Conclusions, The NIR was most
strongly correlated with patient census but also was strongly associa
ted with the nursing hours:patient day ratio. These factors may influe
nce the infection rate because of breaks in health care worker aseptic
technique or decreased hand washing, Increased patient census alone m
ay increase the risk of cross-transmission of nosocomial infections, A
s hospitals proceed with cost containment efforts the effect of fluctu
ations in patient census and nurse staffing on patient outcomes needs
evaluation.