Midnight census revisited: Reliability of patient day measurements in US hospital units

International Journal of Nursing Studies

Volumn 48, Issue 1, 2011, Pages 56-61

  Simon, Michael ^a   Yankovskyy, Eugene ^a   Klaus, Susan ^a   Gajewski, Byron ^b   Dunton, Nancy ^a  

^a UNIVERSITY OF KANSAS MEDICAL CENTER   (United States)

^b UNIVERSITY OF KANSAS SCHOOL OF MEDICINE   (United States)

Author keywords

Midnight census; Nursing Administration Research; Nursing quality indicator; Patient days; Personnel Staffing and Scheduling; Quality Indicators

Indexed keywords

ARTICLE; BAYES THEOREM; CHI SQUARE DISTRIBUTION; EPIDEMIOLOGY; FACTUAL DATABASE; FALLING; HEALTH CARE QUALITY; HOSPITAL BED UTILIZATION; HOSPITAL SUBDIVISIONS AND COMPONENTS; HUMAN; INFORMATION PROCESSING; LENGTH OF STAY; MANPOWER; METHODOLOGY; NONPARAMETRIC TEST; NURSING ADMINISTRATION RESEARCH; NURSING STAFF; ORGANIZATION AND MANAGEMENT; PERSONNEL MANAGEMENT; REGRESSION ANALYSIS; STANDARD; STATISTICS; TIME; UNITED STATES; VALIDATION STUDY; WORKLOAD;

ACCIDENTAL FALLS; BAYES THEOREM; BED OCCUPANCY; BIAS (EPIDEMIOLOGY); CHI-SQUARE DISTRIBUTION; CONFOUNDING FACTORS (EPIDEMIOLOGY); DATA COLLECTION; DATABASES, FACTUAL; HOSPITAL UNITS; HUMANS; LENGTH OF STAY; NURSING ADMINISTRATION RESEARCH; NURSING STAFF, HOSPITAL; PERSONNEL STAFFING AND SCHEDULING; QUALITY INDICATORS, HEALTH CARE; REGRESSION ANALYSIS; STATISTICS, NONPARAMETRIC; TIME FACTORS; UNITED STATES; WORKLOAD;

EID: 78650704816     PISSN: 00207489     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijnurstu.2010.07.002     Document Type: Article

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