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Grant # R01 NR010822
Title: DISTRIBUTION OF THE COSTS OF ANTIMICROBIAL RESISTANT INFECTIONS
PI: Sherry A. Glied, PhD,
Professor and
Chair,
Department of Health Policy and Management, Mailman School of Public
Health
Funder: National Institute of Nursing Research, National
Institutes of Health
Dates: 9/28/07 - 5/31/12
Funding: $1,664,505
The project will develop estimates of the distribution of the
extra costs associated with antimicrobial resistance and assess how
policies that change incentives could spur adoption of effective
interventions.
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Project Summary |
Research Team |
View in CRISP Database |
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PROJECT SUMMARY
Interventions that could substantially reduce the burden of
antimicrobial resistance exist, but the pace of adoption of these
measures has been slow. One barrier to adoption is the mismatch
between who pays the costs of reducing infections and resistance –
predominantly health care providers -- and who gains the benefits --
the provider, payers, infected patients, as well as other current
patients and future patients who could become infected. In economic
terms, there are large externalities of action around the reduction of
antimicrobial resistance, which reduce the financial incentives to
invest in measures that reduce resistance.
The proposed
research will develop estimates of the distribution of the extra costs
associated with antimicrobial resistance and assess how policies that
change incentives could spur adoption of effective interventions. It
will supplement two existing strands of research. Economists have
described the existence of externalities in theory, and have produced
global level estimates of the potential size of these effects, with
limited reference to specific situations or pathogens. Health services
researchers have estimated the costs of resistance in the case of
particular pathogens, but without reference to the allocation of these
costs. We will build on these literatures and estimate the total
costs of resistance by pathogen in hospital settings. We will compare
these costs by type of pathogen and by whether the infection is
community- or hospital-associated. We will then examine two sources
of mismatch between costs and benefits. First, using payment data, we
will compare the allocation of costs between payers and hospitals
across a range of insurers, who use different payment systems. Second,
the allocation of costs between the index patient and other patients
depends on how care for other patients is affected by resistant cases.
We will examine the costs (and payments) for other patients exposed to
a resistant case and estimate these incremental costs. Next, we will
assess policy options that would change payment policies. We will use
data from the CIRAR study of NICU interventions (Saiman) to assess how
changes in payment policy will affect incentives to adopt a particular
intervention. We will estimate how total payments for resistant and
susceptible infections in the hospital would vary under alternative
payment strategies and, based on this model, estimate net revenues
associated with resistant or susceptible infection in each hospital.
Data for these analyses will be drawn from four NYC hospital sites
that are part of the same hospital system but serve very different
populations with distinct payer profiles. All hospital sites have
well-developed infection control database systems. We will link these
infection control data to hospital cost accounting data, patient
location records, and order entry data. The analyses will match
patients with resistant infections (hospital- and community-acquired)
to susceptible patients and to uninfected patients. |
RESEARCH TEAM
Click on name to view
faculty profile or send e-mail
| Name |
Role |
Institution / Department |
Sherry
A. Glied, PhD
Professor of Health Policy and Management and
Department Chair |
Principal
Investigator |
Department of Health Policy and Management, Mailman
School of Public Health, Columbia University |
Elaine L. Larson, RN, PhD
Professor of
Therapeutic and Pharmaceutical Research and Professor of Epidemiology |
Co-Investigator and Nurse Epidemiologist |
Columbia University School of Nursing
and
Department of Epidemiology, Mailman School of Public Health,
Columbia University |
E. Yoko Furuya, MD, MS
Instructor in Clinical Medicine and Assistant Director of Hospital
Epidemiology |
Co-Investigator |
Department of Medicine, Division
of Infectious Diseases, Columbia University, and NewYork-Presbyterian
Hospital, Columbia University Medical Center |
Joshua Graff Zivin, PhD
Assistant Professor of Health Policy and Management |
Co-Investigator |
Department of Health Policy and Management,
Mailman School of Public Health, Columbia University |
Jennifer L. Hill, PhD
Assistant Professor of Public Affairs |
Statistical Consultant |
School of
International and Public Affairs, Columbia University |
Sandra R. Hyman, RN, MPA, CIC
Epidemiology Research Nurse |
Co-Investigator |
NewYork-Presbyterian
Hospital, Columbia University Medical Center |
David W. Caplan, BS
Director, Clinical Information Support Services |
Co-Investigator |
Information Services Division - Business Solutions Group,
NewYork-Presbyterian
Hospital, Columbia University Medical Center |
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Bevin Cohen, BA |
Project
Director |
Columbia University School of Nursing |
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