Research Resources

• UCSF Clinical and Translational Science Institute (CTSI) Research Resources

• UCSF IRB Website
• IRB Review Process
• What Qualifies as Human Subjects Research
• Login to iRIS to Submit a Proposal to the IRB

The Kids' Inpatient Database (KID) is the only all-payer pediatric inpatient care database in the United States, containing data from two to three million hospital stays. Its large sample size is ideal for developing national and regional estimates and enables analyses of rare conditions, such as congenital anomalies, as well as uncommon treatments, such as organ transplantation. The KID has been produced every three years (1997, 2000, 2003, 2006, 2009, 2012). Hospital discharge data for 2015 contains a mix of ICD-9 and ICD-10 data (the first three quarters of 2015 contain ICD-9 data and the last quarter contains ICD-10). Because of the complexities of analyzing a mixed data year, the next KID will be available for 2016 and will be comprised of ICD-10 data only.

Click here for the following example of a paper using this dataset: Kaiser S, Bakel L, Okumura M, Auerbach A, Rosenthal J, Cabana M. Risk factors for prolonged length of stay or complications during pediatric respiratory hospitalizations. Hospital Pediatrics. 2015;5(9):461-473.

• Click here for the following example of a paper using this dataset: Feng JY, Toomey SL, Zaslavsky AM, Nakamura MM, Schuster M. Readmission After Pediatric Mental Health Admissions. Pediatrics. 2017;140(6):e20171571.
• The Nationwide Readmissions Database (NRD) is a unique and powerful database designed to support various types of analyses of national readmission rates for all payers and the uninsured. The NRD includes discharges for patients with and without repeat hospital visits in a year and those who have died in the hospital. Repeat stays may or may not be related. The criteria to determine the relationship between hospital admissions is left to the analyst using the NRD. This database addresses a large gap in health care data - the lack of nationally representative information on hospital readmissions for all ages.

The Medical Expenditure Panel Survey (MEPS) is a set of large-scale surveys of families and individuals, their medical providers, and employers across the United States. MEPS is the most complete source of data on the cost and use of health care and health insurance coverage.

 

• Click here for the following example of a paper using this dataset: Friedman B, Berdahl T, Simpson L, McCormick M, Owens P, Andrews R, Romano P. Annual report on health care for children and youth in the United States: Focus on trends in hospital use and quality. Academic Pediatrics. 2011;11:263-279.

The National Hospital Discharge Survey (NHDS), which was conducted annually from 1965-2010, was a national probability survey designed to meet the need for information on characteristics of inpatients discharged from non-Federal short-stay hospitals in the United States. Data from the NHDS are available annually and are used to examine important topics of interest in public health and for a variety of activities by governmental, scientific, academic, and commercial institutions.

 

• Click here for the following example of a paper using this dataset: Frei C, Makos B, Daniels K, Oramasionwu C. Emergence of community-acquired methicillin-resistant Staphylococcus aureus skin and soft tissue infections as a common cause of hospitalization in United States children. Journal of Pediatric Surgery. 2010;45:1967-1974.

The Pediatric Health Information System® (PHIS), a comparative pediatric database, includes clinical and resource utilization data for inpatient, ambulatory surgery, emergency department and observation unit patient encounters for more than 45 children's hospitals. PHIS supports a wide range of improvement activities including clinical effectiveness, resource utilization, care guideline development, readmission analysis, antimicrobial stewardship, physician profiling (OPPE) and more. Hospitals can identify areas to improve clinical care, enhance financial outcomes, improve clinical documentation and perform research. Please contact Suni Kaiser at [email protected] if you are interested in working with these data.

 

• Click here for the following example of a paper using this dataset: Sills M, Hall M, Colvin J, Macy M, Cutler G, Bettenhausen J, Morse R, Auger K, Raphael J, Gottlieb L, Fieldston E, Shah S. Association of social determinants with children's hospitals' preventable readmissions performance. JAMA Pediatrics. 2016;170(4):350-358.

The Comparative Effectiveness Large Dataset Analysis Core (CELDAC) at UCSF seeks to improve access to local, state, and national data sets to support research on a wide range of health and health care topics, including the comparative effectiveness of different clinical interventions and of different methods for financing and organizing care. They provide a variety of large datasets for UCSF researchers at no cost, as well as a searchable dataset database.

 

• Resource Allocation Program (RAP) Grants
• School of Medicine Bridge Funding Program (NOT to be confused with the Bridges curriculum)
• School of Medicine Innovations Funding
• Caring Wisely Projects Contest
• Education Research Seed Grant Program
• UCSF Social Interventions Research & Evaluation Network Innovations Grants

 

• Chan Zuckerberg Biohub Intercampus Research Awards
• Hellman Fellows Program
• Abdul Latif Jameel Poverty Action Lab (J-PAL) Health Care Delivery Innovation Competition Award

• There are also many resources listed on the web page of the UCSF Research Development Office