Estimating Marginal Returns to Medical Care: Evidence from At-Risk Newborns

A key policy question is whether the benefits of additional medical expenditures exceed their costs. We propose a new approach for estimating marginal returns to medical spending based on variation in medical inputs generated by diagnostic thresholds. Specifically, we combine regression discontinuity estimates that compare health outcomes and medical treatment provision for newborns on either side of the very low birth weight threshold at 1500 grams. First, using data on the census of US births in available years from 1983-2002, we find that newborns with birth weights just below 1500 grams have lower one-year mortality rates than do newborns with birth weights just above this cutoff, even though mortality risk tends to decrease with birth weight. One-year mortality falls by approximately one percentage point as birth weight crosses 1500 grams from above, which is large relative to mean infant mortality of 5.5% just above 1500 grams. Second, using hospital discharge records for births in five states in available years from 1991-2006, we find that newborns with birth weights just below 1500 grams have discontinuously higher charges and frequencies of specific medical inputs. Hospital costs increase by approximately $4,000 as birth weight crosses 1500 grams from above, relative to mean hospital costs of $40,000 just above 1500 grams. Under an assumption that observed medical spending fully captures the impact of the "very low birth weight" designation on mortality, our estimates suggest that the cost of saving a statistical life of a newborn with birth weight near 1500 grams is on the order of $550,000 in 2006 dollars.

[1]  Kevin M. Murphy,et al.  Measuring the Gains from Medical Research , 2010 .

[2]  David S. Lee,et al.  Regression Discontinuity Designs in Economics , 2009 .

[3]  Care of the very low-birthweight infant. , 2009, Pediatrics in review.

[4]  M. Levene,et al.  Essential Neonatal Medicine , 2008 .

[5]  D. Almond,et al.  After Midnight: A Regression Discontinuity Design in Length of Postpartum Hospital Stays WEB APPENDIX , 2010 .

[6]  Kevin Quinn New directions in Medicaid payment for hospital care. , 2008, Health affairs.

[7]  Karalee Poschman,et al.  Cost of Hospitalization for Preterm and Low Birth Weight Infants in the United States , 2007, Pediatrics.

[8]  Aaron B Caughey,et al.  Level and volume of neonatal intensive care and mortality in very-low-birth-weight infants. , 2007, The New England journal of medicine.

[9]  Justin McCrary,et al.  Manipulation of the Running Variable in the Regression Discontinuity Design: A Density Test , 2007 .

[10]  Merrill Goozner,et al.  The value of medical spending in the United States. , 2006, The New England journal of medicine.

[11]  Sandeep Vijan,et al.  The value of medical spending in the United States, 1960-2000. , 2006, The New England journal of medicine.

[12]  B. Luce,et al.  The return on investment in health care: from 1980 to 2000. , 2006, Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research.

[13]  Ariel Linden,et al.  Evaluating disease management programme effectiveness: an introduction to the regression discontinuity design. , 2006, Journal of evaluation in clinical practice.

[14]  B. Stuart,et al.  Application of regression-discontinuity analysis in pharmaceutical health services research. , 2006, Health services research.

[15]  A. Gouveia Your Money or Your Life: Strong Medicine for America's Health Care System , 2006 .

[16]  Douglas L. Miller,et al.  Does Head Start Improve Children's Life Chances? Evidence from a Regression Discontinuity Design , 2005, SSRN Electronic Journal.

[17]  Therese A. Stukel,et al.  Long-term Outcomes of Regional Variations in Intensity of Invasive vs Medical Management of Medicare Patients With Acute Myocardial Infarction , 2005 .

[18]  V. Fuchs More variation in use of care, more flat-of-the-curve medicine. , 2004, Health affairs.

[19]  T. Fenton,et al.  A new growth chart for preterm babies: Babson and Benda's chart updated with recent data and a new format , 2003, BMC pediatrics.

[20]  Jack Porter,et al.  Estimation in the Regression Discontinuity Model , 2003 .

[21]  Asking for 'rules of thumb': a way to discover tacit knowledge in general practice. , 2002, Family practice.

[22]  Jeffrey D Horbar,et al.  Trends in mortality and morbidity for very low birth weight infants, 1991-1999. , 2002, Pediatrics.

[23]  K. Grumbach Specialists, technology, and newborns--too much of a good thing. , 2002, The New England journal of medicine.

[24]  W. Nordhaus,et al.  The Health of Nations: The Contribution of Improved Health to Living Standards , 2002 .

[25]  Hiang,et al.  THE RELATION BETWEEN THE AVAILABILITY OF NEONATAL INTENSIVE CARE AND NEONATAL MORTALITY , 2002 .

[26]  M. Mcclellan,et al.  Is technological change in medicine worth it? , 2001, Health affairs.

[27]  H Stanislaw,et al.  Prediction of birth weight by ultrasound in the third trimester. , 2000, Obstetrics and gynecology.

[28]  Kevin M. Murphy,et al.  The Economic Value of Medical Research , 2000 .

[29]  D. Cutler,et al.  The Technology of Birth: Is It Worth It? , 1999 .

[30]  J. Wennberg,et al.  Geographic variation in the treatment of acute myocardial infarction: the Cooperative Cardiovascular Project. , 1999, JAMA.

[31]  M. Beers,et al.  The Merck Manual of Medical Information , 2000, Nature Medicine.

[32]  J. Zupancic,et al.  Characterization of the Triage Process in Neonatal Intensive Care , 1998 .

[33]  Joseph P. Newhouse,et al.  Are Medical Prices Declining? Evidence from Heart Attack Treatments , 1998 .

[34]  B. McNeil,et al.  Use of cardiac procedures and outcomes in elderly patients with myocardial infarction in the United States and Canada. , 1997, The New England journal of medicine.

[35]  J. Zupancic,et al.  CHARACTERIZATION OF THE TRIAGE PROCESS IN NEONATAL INTENSIVE CARE † 1270 , 1997, Pediatric Research.

[36]  J. Newhouse,et al.  The marginal cost-effectiveness of medical technology: A panel instrumental-variables approach , 1997 .

[37]  H. Pomerance,et al.  Nelson Textbook of Pediatrics. , 1997, Archives of pediatrics & adolescent medicine.

[38]  Jianqing Fan,et al.  On automatic boundary corrections , 1997 .

[39]  Daniel P. Kessler,et al.  Do Doctors Practice Defensive Medicine? , 1996 .

[40]  C J McDonald,et al.  Medical Heuristics: The Silent Adjudicators of Clinical Practice , 1996, Annals of Internal Medicine.

[41]  W. O’Neill,et al.  Regional variation across the United States in the management of acute myocardial infarction. , 1995, The New England journal of medicine.

[42]  N. Paneth,et al.  The problem of low birth weight. , 1995, The Future of children.

[43]  E. Fisher,et al.  Hospital readmission rates for cohorts of Medicare beneficiaries in Boston and New Haven. , 1994, The New England journal of medicine.

[44]  R. Anspach,et al.  Deciding Who Lives: Fateful Choices in the Intensive-Care Nursery , 1993 .

[45]  R. Gregg,et al.  Revising diagnosis-related groups for neonates. , 1989, Pediatrics.

[46]  Disease Prevention Preventing Low Birthweight , 1985 .

[47]  R. Williams,et al.  Identifying the sources of the recent decline in perinatal mortality rates in California. , 1982, The New England journal of medicine.

[48]  D. Freund Health Plan: The Only Practical Solution to the Soaring Cost of Medical Care. , 1981 .

[49]  A. Enthoven Health Plan: The Practical Solution to the Soaring Cost of Medical Care , 1980 .

[50]  G. Benda,et al.  Growth graphs for the clinical assessment of infants of varying gestational age. , 1976, The Journal of pediatrics.