Correlation of neonatal intensive care unit performance across multiple measures of quality of care

Archives of Pediatrics and Adolescent Medicine

Volumn 167, Issue 1, 2013, Pages 47-54

  Profit, Jochen ^a,b,c   Zupancic, John A F ^d   Gould, Jeffrey B ^e   Pietz, Kenneth ^a,c   Kowalkowski, Marc A ^a,c   Draper, David ^f   Hysong, Sylvia J ^a,c   Petersen, Laura A ^a,c  

^a BAYLOR COLLEGE OF MEDICINE   (United States)

^b TEXAS CHILDREN S HOSPITAL   (United States)

^c MICHAEL E DEBAKEY VETERANS AFFAIRS MEDICAL CENTER   (United States)

^d HARVARD MEDICAL SCHOOL   (United States)

^e STANFORD UNIVERSITY SCHOOL OF MEDICINE   (United States)

^f University of California Santa Cruz   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; CHRONIC LUNG DISEASE; CONTROLLED STUDY; CROSS-SECTIONAL STUDY; FEMALE; GROWTH RATE; HEALTH CARE QUALITY; HOSPITAL INFECTION; HUMAN; HYPOTHERMIA; LOW BIRTH WEIGHT; MAJOR CLINICAL STUDY; MALE; MORTALITY; NEWBORN; NEWBORN INTENSIVE CARE; PNEUMOTHORAX; PRIORITY JOURNAL; UNITED STATES; EVALUATION; FACTORIAL ANALYSIS; OUTCOME ASSESSMENT; PREMATURITY; QUALITY CONTROL; RISK ASSESSMENT; STANDARD; STATISTICAL MODEL; STATISTICS; VERY LOW BIRTH WEIGHT; BREAST MILK; HOSPITAL DISCHARGE; NEWBORN MORTALITY; PERFORMANCE MEASUREMENT SYSTEM; PRENATAL CARE;

BENCHMARKING; CALIFORNIA; FACTOR ANALYSIS, STATISTICAL; FEMALE; HOSPITAL MORTALITY; HUMANS; INFANT, NEWBORN; INFANT, PREMATURE, DISEASES; INFANT, VERY LOW BIRTH WEIGHT; INTENSIVE CARE UNITS, NEONATAL; INTENSIVE CARE, NEONATAL; LOGISTIC MODELS; MALE; MODELS, STATISTICAL; OUTCOME ASSESSMENT (HEALTH CARE); QUALITY INDICATORS, HEALTH CARE; RISK ADJUSTMENT;

MLCS; MLOWN;

CORTICOSTEROID;

EID: 84873514478     PISSN: 10724710     EISSN: 15383628     Source Type: Journal    
DOI: 10.1001/jamapediatrics.2013.418     Document Type: Article

References (31)

1. Institute of Medicine. Rewarding Provider Performance: Aligning Incentives in Medicare. Washington, DC: National Academies Press; 2006.
2. Profit J, Woodard LD. Perils and opportunities of comparative performance measurement. Arch Pediatr Adolesc Med. 2012;166(2):191-194.
3. Epstein AM. Paying for performance in the United States and abroad. N Engl J Med. 2006;355(4):406-408.
4. Rosenthal MB, Landon BE, Normand SL, Frank RG, Epstein AM. Pay for performance in commercial HMOs. N Engl J Med. 2006;355(18):1895-1902.
5. Petersen LA, Woodard LD, Urech T, Daw C, Sookanan S. Does pay-forperformance improve the quality of health care? Ann Intern Med. 2006;145(4):265-272.
6. National Quality Forum. National voluntary consensus standards for perinatal care. May 2009. http://www.qualityforum.org/Publications/2009/05/ National-Voluntary-Consensus-Standards-for-Perinatal-Care-2008.aspx. Accessed September 14, 2012.
7. Shahian DM, Wolf RE, Iezzoni LI, Kirle L, Normand SL. Variability in the measurement of hospital-wide mortality rates. N Engl J Med. 2010;363(26):2530- 2539.
8. Rosenthal GE. Weak associations between hospital mortality rates for individual diagnoses: implications for profiling hospital quality. Am J Public Health. 1997;87(3):429-433.
9. Wilson IB, Landon BE, Marsden PV, et al. Correlations among measures of quality in HIV care in the United States: cross sectional study. BMJ. 2007;335(7629):1085-1091.
10. Gandhi TK, Francis EC, Puopolo AL, Burstin HR, Haas JS, Brennan TA. Inconsistent report cards: assessing the comparability of various measures of the quality of ambulatory care. Med Care. 2002;40(2):155-165.
11. Palmer RH, Wright EA, Orav EJ, Hargraves JL, Louis TA. Consistency in performance among primary care practitioners. Med Care. 1996;34(9)(suppl):SS52- SS66.
12. Glance LGM, Osler TMM, Mukamel DBP, Dick AWP. Impact of the present-on-admission indicator on hospital quality measurement: experience with the Agency for Healthcare Research and Quality (AHRQ) Inpatient Quality Indicators. Med Care. 2008;46(2):112-119.
13. Ash AP. Measuring quality. Med Care. 2008;46(2):105-108.
14. Profit J, Typpo KV, Hysong SJ, Woodard LD, Kallen MA, Petersen LA. Improving benchmarking by using an explicit framework for the development of composite indicators: an example using pediatric quality of care. Implement Sci. 2010; 5:e13. http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2831823/. Accessed September 14, 2012.
15. Gould JB. The role of regional collaboratives: the California Perinatal Quality Care Collaborative model. Clin Perinatol. 2010;37(1):71-86.
16. Horbar JD, Soll RF, Edwards WH. The Vermont Oxford Network: a community of practice. Clin Perinatol. 2010;37(1):29-47.
17. Profit J, Etchegaray J, Petersen LA, et al. Neonatal intensive care unit safety culture varies widely. Arch Dis Child Fetal Neonatal Ed. 2012;97(2):F120-F126.
18. Sexton JB, Berenholtz SM, Goeschel CA, et al. Assessing and improving safety climate in a large cohort of intensive care units. Crit Care Med. 2011;39(5):934-939.
19. Pronovost PJ, Goeschel CA, Colantuoni E, et al. Sustaining reductions in catheter related bloodstream infections in Michigan intensive care units: observational study. BMJ. 2010;340:c309.
20. Profit J, Etchegaray J, Petersen LA, et al. The Safety Attitudes Questionnaire as a tool for benchmarking safety culture in the NICU. Arch Dis Child Fetal Neonatal Ed. 2012;97(2):F127-F132.
21. Profit J, Gould JB, Zupancic JA, et al. Formal selection of measures for a composite index of NICU quality of care: Baby-MONITOR. J Perinatol. 2011;31(11):702-710.
22. Kowalkowski M, Gould JB, Bose C, Petersen LA, Profit J. Do practicing clinicians agree with expert ratings of neonatal intensive care unit quality measures? J Perinatol. 2012;32(4):247-252.
23. Stark AR; American Academy of Pediatrics Committee on Fetus and Newborn. Levels of neonatal care [published correction appears in Pediatrics. 2005;115(4):1118]. Pediatrics. 2004;114(5):1341-1347.
24. California Perinatal Quality Care Collaborative. CPQCC. http://www.cpqcc.org. Accessed February 4, 2008.
25. Patel AL, Engstrom JL, Meier PP, Kimura RE. Accuracy of methods for calculating postnatal growth velocity for extremely low birth weight infants. Pediatrics. 2005;116(6):1466-1473.
26. Hosmer DW, Lemeshow S. Applied Logistic Regression. New York, NY: John Wiley & Sons; 2001.
27. Draper D, Gittoes M. Statistical analysis of performance indicators in UK higher education. JR Stat Soc. 2004;167(3):449-474.
28. Aberson CL. Applied Power Analysis for the Behavioral Sciences. New York, NY: Taylor & Francis Group LLC; 2010.
29. NIH Consensus Development Panel on the Effect of Corticosteroids for Fetal Maturation on Perinatal Outcomes. Effect of corticosteroids for fetal maturation on perinatal outcomes. JAMA. 1995;273(5):413-418.
30. Stulberg JJ, Delaney CP, Neuhauser DV, Aron DC, Fu P, Koroukian SM. Adherence to surgical care improvement project measures and the association with postoperative infections. JAMA. 2010;303(24):2479-2485.
31. Lemons JA, Bauer CR, Oh W, et al NICHD Neonatal Research Network. Very low birth weight outcomes of the National Institute of Child Health and Human Development Neonatal Research Network, January 1995 through December 1996. Pediatrics. 2001;107(1):E1.