Premature Infant Maturity at Discharge & Subsequent Healthcare Costs” or: Is it Time to Send that Baby Home Yet? Jeffrey H. Silber, M.D., Ph.D. Professor,

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Presentation transcript:

Premature Infant Maturity at Discharge & Subsequent Healthcare Costs” or: Is it Time to Send that Baby Home Yet? Jeffrey H. Silber, M.D., Ph.D. Professor, Departments of Pediatrics, Anesthesiology and Critical Care The University of Pennsylvania School of Medicine Professor of Health Care Systems The Wharton School Director, Center for Outcomes Research The Children’s Hospital of Philadelphia

Acknowledgments Center for Outcomes Research, CHOP and PENN Med and Wharton –Jeffrey H. Silber, MD, PhD –Scott A. Lorch, MD, MSCE –Paul R. Rosenbaum, PhD –Barbara Medoff-Cooper, PhD, RN –Susan Bakewell-Sachs, PhD, RN –Andrea M. Millman, BA –Lanyu Mi, MS –Orit Even-Shoshan, MS Division of Research, Northern California Kaiser Permanente Medical Care Program –Gabriel J. Escobar, MD –Marla Gardner, BA FUNDING: Maternal and Child Health Bureau R40-MC-00236

Introduction Premature Births contribute a major portion to total inpatient pediatric costs The decision as to when to discharge a premature infant is complex, and like many other decisions in healthcare, not always uniform While guidelines exist through the AAP, there is considerable variation in practice

Goals of Study To determine whether keeping a premie baby a few days longer in the NICU solely to increase maturity may lead to subsequent cost savings after discharge To determine whether such cost savings after discharge could outweigh the greater inpatient costs associated with longer stays initially

Attila the Hun

Why is Attila Relevant? We wanted a point in time in the infant stay when even “Attila” would not send the baby home—we thought 31 weeks PMA would be reasonable. Starting at the Attila point, we recorded the daily physiologic variables needed to make a decision to discharge –Feeding, weight gain, off IVs –Temperature Stability (out of incubator) –Cardio-Respiratory Stability (No A’s and B’s while off oxygen and stimulants)

Study Population Babies born a one of five NICUs in the Northern California Kaiser-Permanente System Born between GA 34 weeks or less Without congenital anomalies No VP shunts, no major cardiac surgery patients Of 2,144 electronically screened and randomly selected (after all babies less than 28 weeks were included), 1474 met study criteria, 30 charts were missing and 42 had incomplete records. Hence 1402 were included in the study (with 265 babies less than 28 weeks).

Study Design: Matching Divide the 1402 study babies into two groups through nonbipartate multivariate matching 702 Early babies 702 Late babies (matched to the Early baby on the day the Early baby went home, but who went home on average 3 days later than their Early baby matched pair)

Matching Variables We matched on variables relevant for determining when a baby should go home as obtained from chart review: –The infant’s medical history (BW, GA and History variables such as NEC, IVH, BPD) –The infants maturity leading up to discharge Exponentially smoothed history of days since a skill was mastered. For example, days out of incubator, days off gavage feeding, days off methylxanthines Propensity Score for discharge based on a time-dependent Cox model –Maternal Characteristics: Age, number of children, income

Defining Costs Costs were based on resource consumption furnished from KPMCP (Kaiser-Permanente Medical Care Program) for both inpatient and outpatient expenditures Costs were based on the health care system perspective A death was assigned an infinite cost

Early Late “Initial” Post Early Discharge Cost through day i Early baby discharged at day 0 Late baby discharged at day i “Subsequent” Costs from day i to day 180 “Total” Cost (Early or Late Baby) “Initial” day 0 through i Pre-Discharge Late Costs “Subsequent” Costs from day i to day 180 i days “Post-Discharge” Costs for Late Baby: from day i to day 180+i “Post Discharge” Cost for Early Baby “First” Cost for Late Baby = i days

Defining Clinical Outcomes We constructed a continuous metric for POST DISCHARGE outcomes based on a “Coherence” score [Rosenbaum, Biometrics 1994 ] Each patient is compared to the other 1401 patients in the data set to rank order their outcomes Death > (ICU days & Hospitalized Days) > ED visits > Sick Visits Score + 1 if you are unambiguously worse than someone else, -1 if better and 0 if ambiguous

Results Quality of the matches Patterns of Discharge by NICU and day of week Cost Results Outcome Results Sensitivity Analysis

(1) (2) (3) (4) (5) (6) Late Baby at Early Late Baby at DIFFAV DIFFAV Early Baby Baby Late Baby (3)-(2) (4)-(2) Variable Name Discharge Discharge Discharge (SD) (SD) PMA (days) e Gest age at birth (wks) Male Sex Weight (birth) SNAP-II 20 to SNAP-II 10 to SNAP-II 0 to a p<0.05; b p<0.01; c p<0.005; d p<0.001; e p< Matching Results for 701 Early and 701 Matched Late Babies

(1) (2) (3) (4) (5) (6) Late Baby at Early Late Baby at DIFFAV DIFFAV Early Baby Baby Late Baby (3)-(2) (4)-(2) Variable Name Discharge Discharge Discharge (SD) (SD) Propensity to discharge e Apnea score Brady score Methyl score Oxygen score a Gavage score e Incubator score e Combined score e a p<0.05; b p<0.01; c p<0.005; d p<0.001; e p< Matching Results for 701 Early and 701 Matched Late Babies

(1) (2) (3) (4) (5) (6) Late Baby at Early Late Baby at DIFFAV DIFFAV Early Baby Baby Late Baby (3)-(2) (4)-(2) Variable Name Discharge Discharge Discharge (SD) (SD) Weight on day specified e Weight < < W < e Weight > e BPD NEC ROP > IVH > a p<0.05; b p<0.01; c p<0.005; d p<0.001; e p< Matching Results for 701 Early and 701 Matched Late Babies

(1) (2) (3) (4) (5) (6) Late Baby at Early Late Baby at DIFFAV DIFFAV Early Baby Baby Late Baby (3)-(2) (4)-(2) Variable Name Discharge Discharge Discharge (SD) (SD) Maternal Age Single Other Child = Other Child = Other Child > Income x K ($) White Race Black Asian Hispanic Matching Results for 701 Early and 701 Matched Late Babies

Patterns of Discharge NICU Early discharge rate ranged from 35% to 65% (P < ) Discharge varied by day of the week (P<0.001) –Sat & Sun: Observed vs Exp 358:401 –Fri & Mon: Observed vs Exp 445:401

Results for Cost and Coherence Outcomes 180 Days Post Subsequent Discharge Variable Total Cost Initial Cost Cost Cost First Cost Name ($, median) ($, median) ($, median) (median) (median) Late % CI (4821, 5823) (4346, 4474) (307, 351) (313, 357) (0, 0) Early % CI (299, 347) (0, 0) (281,331) (299,347) (0, 0) Late-Early % CI (4714, 5235) (4485, 5103) (-20, 56) (-26, 52) (-5.43, 8.69) P-Value p< p< p=0.08 p=0.54 p=0.71

Clinical Coherence Outcomes Post Discharge First Variable Coherence Coherence Name ($, median) ($, median) Late % CI (-11.3, 13.1) (-27.7, -27.7) Early % CI (-11.3, 2.6) (-27.7, -27.7) Late-Early % CI (-2.1, 11.0) (0, 0) P-Value p=0.21 p=0.96

Sensitivity Analysis: Null Hypothesis states there is a difference Odds Ratio* Reject |$500| Reject |$1000| Reject |$2500| 1< < < * An unobserved variable that produces the odds of being discharged late

Summary Initial costs are higher for Late babies because they are still in the NICU while the Early are already discharged Subsequent costs are very similar Post-discharge Costs (180 days) are identical Our results are very insensitive to an unobserved variable highly associated with Late discharge and costs

Conclusions Holding babies solely to increase maturity (once the baby has achieved the usual milestones needed for discharge) will not save money or improve clinical outcomes

The End

Statistical Tests For individual outcomes, we report medians and 95% nonparametric confidence intervals for the median For tests comparing outcomes in matched pairs, we used Wilcoxon’s signed rank test, the associated confidence interval and the associated Hodges- Lehmann point estimate (Hollander and Wolfe 1999). In measuring balance on covariates at baseline, we used two standard informal measures: – DIFFAVE (Rosenbaum and Rubin 1985; Silber et al. 2001), defined to be the difference in covariate means divided by the standard deviation –For testing balance of a covariate before and after matching, we used Wilcoxon’s rank sum test (which compares the balance obtained by matching on covariates to the balance expected in a completely randomized experiment).