Health policy
Paragraphs
All Publications button
1
Publication Type
Journal Articles
Publication Date
Journal Publisher
Presented with Panel Session: Bridging the Gaps in the International Analysis of Health Care Systems: The Recent Experience of the OECD. Academy for Health Services Research and Health Policy
Authors
Daniel P. Kessler
Paragraphs

The ethical case for the social insurance model will be strengthened as people realize that most health problems have at least in part a genetic basis. The efficiency case will benefit from recognition that employment-based insurance has high administrative costs but provides no advantages to society as a whole. The desire to exert more direct control over rising expenditures will provide an additional reason to introduce some form of national health insurance.

The timing of such a change, however, will depend largely on factors external to health care. Major changes in health policy are political acts undertaken for political purposes. This was true when Bismarck introduced national health insurance to the new German state in the 19th century. It was true when England adopted national health insurance after World War II; and it will be true in the United States as well. National health insurance will probably come to the United States after a major change in the political climate, the kind of change that often accompanies a war, a depression, or large scale civil unrest. Until then, the major effect of the new plans will be to make young and healthy workers better off at the expense of their older, sicker colleagues.

All Publications button
1
Publication Type
Journal Articles
Publication Date
Journal Publisher
New England Journal of Medicine
Authors
Paragraphs

The Nation's capacity to respond to bioterrorism depends in part on the ability of clinicians and public health officials to detect, manage, and communicate during a bioterrorism event. Information technologies and decision support systems (IT/DSSs) have the potential to aid clinicians (e.g., physicians, nurses, nurse practitioners, and respiratory therapists) and public health officials to respond effectively to a bioterrorist attack.

The Evidence Report from which this summary was taken details the methodology, results, and conclusions of a systematic and extensive search for published materials on the use of IT/DSSs to serve the information needs of clinicians and public health officials in the event of a bioterrorist attack. The information is intended to assist clinicians, public health officials, and policymakers to improve preparedness for a bioterrorism event.

All Publications button
1
Publication Type
Working Papers
Publication Date
Journal Publisher
UCSF-Stanford Evidence-Based Practice Center, Agency for Healthcare Research and Quality
Authors
Douglas K. Owens
Number
02-E027 (summary); 02-E028 (report)
202-679-7832 (voice)
0
Vice President, Transition Services at CATHEXIS
mark_smith.jpg PhD

Health Economist Mark Smith is a Vice President at CATHEXIS and a Stanford Health Policy Adjunct Affiliate. From 2001-2011 he was an economist at VA Palo Alto. At Truven Health Analytics (2012-2016) and IBM Watson Health (2016-2020) he led projects in quality measurement and reporting and provided technical assistance to state Medicaid agencies.   

His research focuses primarily on quality measurement, mental health and substance abuse, and economic analyses.  He led a team that collaborated with Stanford Health Policy and others to develop health care quality indicators based on emergency department services. International projects have included implementation of health care quality measurement in the Emirate of Abu Dhabi and determining predictors of sustainability in water-quality improvement projects in Nicaragua.  He earned a B.A. at Oberlin College and M.A., M.Phil., and Ph.D. degrees at Yale University, all in economics.  

Adjunct Affiliate at the Center for Health Policy and the Department of Health Policy
Paragraphs

OBJECTIVE: In 1976, the Committee on Perinatal Health recommended that hospitals with no neonatal intensive care unit (NICU) or intermediate NICUs transfer high-risk mothers and infants that weigh 2000 g to a regional NICU. This standard was based on expert opinion and has not been validated carefully. This study evaluated the effect of NICU level and patient volume at the hospital of birth on neonatal mortality of infants with a birth weight (BW) of 2000 g.

METHODS: Birth certificates of 16 732 singleton infants who had a BW of 2000 g and were born in nonfederal hospitals in California in 1992 and 1993 were linked to death certificates and to discharge abstracts. The hospitals were classified by the level of NICU: no NICU, no intensive care; intermediate NICU, intermediate intensive care; community NICU, expanded intermediate intensive care; and regional NICU, tertiary intensive care. A logistic regression model that controlled for demographic risks, diagnoses, transfer, average NICU census, and NICU level was estimated using death within the first 28 days or first year of life if continuously hospitalized as the main outcome measure.

RESULTS: Compared with birth in a hospital with a regional NICU, risk-adjusted mortality of infants with BW of 2000 g was higher when birth occurred in hospitals with no NICU (odds ratio [OR]: 2.38; 95% confidence interval [CI]: 1.81-3.13), an intermediate NICU (OR: 1.92; 95% CI: 1.44-2.54), or a small (average census 15) community NICU (OR: 1.42; 95% CI: 1.14-1.76). Risk-adjusted mortality for infants who were born in hospitals with a large (average census > or =15) community NICU was not statistically different compared with those with a regional NICU (OR: 1.11; 95% CI: 0.87-1.43). Except for large community NICUs, all of these ORs are larger when the data are restricted to infants with BW of 1500 g or BW of 1250 g and smaller for BW between 1250 g and 1999 g and 1500 g and 1999 g. For large community NICUs, the results are similar for the smaller BW intervals and significant only for the larger BW interval.

CONCLUSIONS: These results support the recommendation that hospitals with no NICU or intermediate NICUs transfer high-risk mothers with estimated fetal weight of 2000 g to a regional NICU. For infants with BW of 2000 g, birth at a hospital with a regional NICU is associated with a lower risk-adjusted mortality than birth at a hospital with no NICU, intermediate NICU of any size, or small community NICU. Subsequent neonatal transfer to a regional NICU only marginally decreases the disadvantage of birth at these hospitals. The evidence for the few hospitals with large community NICUs is mixed. Although the data point to higher mortality in large community NICUs, they are not conclusive and additional study is needed on the mortality effects of large community NICUs. Greater efforts should be made to deliver infants with expected BW of 2000 g at hospitals with regional NICUs.

All Publications button
1
Publication Type
Journal Articles
Publication Date
Journal Publisher
Pediatrics
Authors
Ciaran S. Phibbs
Paragraphs

OBJECTIVE: To investigate recent national trends in nonsteroidal antiinflammatory drug (NSAID) and acetaminophen use for osteoarthritis (OA).

METHODS: Using data from the 1989-98 National Ambulatory Medical Care Survey, a representative sample of US office based physician visits, we assessed 4471 visits by patients 45 years or older with a diagnosis of OA. We examined cross sectional and longitudinal patterns of OA pharmacotherapy. The independent effects of patient and physician characteristics on NSAID and acetaminophen use were examined using multiple logistic regression analysis.

RESULTS: Pharmacological treatment for OA (either NSAID, acetaminophen, or both) has steadily decreased from 49% of visits (1989-91) to 46% (1992-94) to 40% (1995-98) (p = 0.001). Reduced NSAID use over this time period (46% to 33%; p = 0.001) was partially offset by a modest increase in acetaminophen use (5% to 10%; p = 0.001). Among individual NSAID, ibuprofen (5.7% of OA visits), nabumetone (4.9%), naproxen (4.6%), and aspirin (4.4%) were the most frequently reported in 1995-98. For patient visits in 1995-98, 45 to 59-year-olds (38%) received NSAID more often than 60 to 74-year-olds (34%) or patients older than 75 (28%; p = 0.029). Other possible predictors of OA therapy included patient race and physician specialty.

CONCLUSION: The decline in the use of NSAID from 1989 to 1998, especially among elderly patients, and the frequent selection of safer medications may reflect awareness of the literature citing the risks of nonsteroidals for OA. However, variations in prescribing patterns among different patient populations and the modest use of acetaminophen, despite evidence supporting its efficacy, suggest that better assimilation of the literature into medical practice is needed to optimize OA therapy.

All Publications button
1
Publication Type
Journal Articles
Publication Date
Journal Publisher
Journal of Rheumatology
Authors
Randall S. Stafford

Shriram Center 
443 Via Ortega Room 209 
MC 4245 
Stanford, CA 94305-4145 

Assistant: Tiffany Murray Email: Tiffany.murray@stanford.edu 
Phone: (650) 725-0659

(650) 725-3394 (650) 725-3863
0
Kenneth Fong Professor of Bioengineering, Genetics, Medicine and, by courtesy, of Computer Science
russ_altman.jpg MD, PhD

Russ Biagio Altman is a professor of bioengineering, genetics, & medicine (and of computer science, by courtesy) and past chairman of the Bioengineering Department at Stanford University. His primary research interests are in the application of computing and informatics technologies to problems relevant to medicine. He is particularly interested in methods for understanding drug action at molecular, cellular, organism and population levels.  His lab studies how human genetic variation impacts drug response (e.g. http://www.pharmgkb.org/). Other work focuses on the analysis of biological molecules to understand the action, interaction and adverse events of drugs (http://features.stanford.edu/).  Dr. Altman holds an A.B. from Harvard College, and M.D. from Stanford Medical School, and a Ph.D. in Medical Information Sciences from Stanford. He received the U.S. Presidential Early Career Award for Scientists and Engineers and a National Science Foundation CAREER Award. He is a fellow of the American College of Physicians (ACP), the American College of Medical Informatics (ACMI), the American Institute of Medical and Biological Engineering (AIMBE), and the American Association for the Advancement of Science (AAAS). He is a member of the Institute of Medicine of the National Academies.  He is a past-President, founding board member, and a Fellow of the International Society for Computational Biology (ISCB), and a past-President of the American Society for Clinical Pharmacology & Therapeutics (ASCPT).  He has chaired the Science Board advising the FDA Commissioner, and currently serves on the NIH Director’s Advisory Committee.   He is an organizer of the annual Pacific Symposium on Biocomputing (http://psb.stanford.edu/), and a founder of Personalis, Inc.  Dr. Altman is board certified in Internal Medicine and in Clinical Informatics. He received the Stanford Medical School graduate teaching award in 2000, and mentorship award in 2014.

Stanford Health Policy Associate
CV
Subscribe to Health policy