Comparison of patient outcomes in academic medical centers with and without value analysis programs
Journal of Healthcare Leadership
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Comparison of patient outcomes in academic
medical centers with and without value analysis
programs
This article was published in the following Dove Press journal:
Journal of Healthcare Leadership
31 August 2012
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Adrienne S Murray
Michael Griswold
Imran Sunesara
Ed Smith
University of Mississippi Health Care,
University of Mississippi Medical
Center, Jackson, MS, USA
Background: Value analysis is the science of balancing the mandate to deliver high-quality
clinical outcomes with the necessity to drive down costs in order to thrive in the challenging
economics of health care. This study compared average length of stay, direct cost, morbidity,
and mortality across the cardiology, cardiovascular, neuroscience, and orthopedic service lines,
in academic medical centers with and without value analysis programs (VAPs). The basic
question was, “Do academic medical centers with VAPs have lower average length of stay,
better morbidity and mortality rates, and lower overall supply costs?”
Methods and results: The clinical data base/resource manager (CDB/RM) of the University
HealthSystem Consortium was utilized as secondary data for this study. Reports from the CDB/
RM were generated from 2006 to 2011. Continuous variable differences across VAP status were
examined using Wilcoxon two-sample tests. Primary analyses used multilevel linear mixed
model methods to estimate the effects of VAPs on primary outcomes (average length of stay,
cost, morbidity, mortality). Association components of the linear mixed models incorporated
random effects at the hospital level and robust, Huber-White, standard errors were calculated.
There was no significant difference for average length of stay, direct cost, morbidity, and
mortality between academic medical centers with and without VAPs. However, outcomes were
not noted to be substantially worse.
Conclusion: Numerous case studies reveal that aggressively active VAPs do decrease hospital
cost. Also, this study did not find a negative impact on patient care. Further studies are needed
to explore the benefits of value analysis and its effect on patient outcomes.
Keywords: value analysis, average length of stay, morbidity, mortality, health care costs,
supply chain
Background
Correspondence: Adrienne S Murray
Supply Chain Management,
University of Mississippi HealthCare,
2500 North State St,
Room C782, Jackson,
MS 39216, USA
Tel +1 601 815 5436
Fax +1 601 815 3758
Email
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http://dx.doi.org/10.2147/JHL.S30421
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In the US, value analysis began in 1947 at General Electric. The founding father was
Lawrence D Miles. While at General Electric, Miles was responsible for identifying,
negotiating, and acquiring key materials that were scarce. In many instances, he found
the situation to be in dire straits and aimed at getting product functions met by alternative
means. More often than not, Miles found a way to meet product functions via substitutes
that provided equal or better performance at a lower cost. Mile’s success at General
Electric prompted private industry to adopt this concept. In 1954, the US Department
of Defense Bureau of Ships (now the Navy Ships System Command) implemented
a formal program and called it “value engineering”. By 1961, value engineering had
been established throughout the US Department of Defense. Its applications have
been used in many industries, including the automobile, railways, metal, electrical
Journal of Healthcare Leadership 2012:4 93–105
© 2012 Murray et al, publisher and licensee Dove Medical Press Ltd. This is an Open Access article
which permits unrestricted noncommercial use, provided the original work is properly cited.
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Murray et al
equipment, and service sectors. It was not until the 1990s
that value analysis first appeared in health care.1
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Introduction
According to Marmor et al, the health care system in the
US faces many challenges, with cost and quality being key
concerns. Health outcomes in the US are not exceptional
when compared with other wealthy nations, yet the US spends
more than any other country on medical care.2 Emanuel
affirms that, compared with total US health care expenditure,
there are little to no established resources or efforts to
determine which technologies, products, or interventions
are most effective.3 Americans spend more than $2 trillion
on health care annually, and over $100 billion is spent on
research and development as well as the regulatory approval
of emerging technologies. However, annual spending on
technology assessment falls shy of $1 billion, representing
0.05% of total US health care spending, according to
Ford.4 Value-based purchasing in health care reform is
fast approaching, and health care in the US will transition
from payment by volume to payment for performance. This
change will significantly impact how health care providers
in the US will be paid. The current reimbursement system
in the US is a “fee for service” model, whereby health care
providers are paid based on the quantity of care provided.
However, value-based purchasing will focus on the quality of
care provided, as well as patient satisfaction, rather than the
quantity of care that is provided. Also, supply costs are on
the rise, and quality of care and patient safety have emerged
as chief concerns for reimbursement. Health care accounts
for more than 17% of the gross domestic product in the US,
with more than $19 billion being spent on efforts to reduce
medical errors.3
Singh and Schneller state that as hospital administrators
look to reduce operating expenses, many are turning to supply chain. The supply chain environment, especially value
analysis, is a capable field for process improvement, considering that the arena of value analysis has not been effectively
explored regarding cost savings and its impact on patient
outcomes.5 At many academic medical centers, value analysis
has become a tactical cost reduction instrument for health care
executives who utilize its principles.6 The general objective
of this study was to compare patient outcomes, specifically
average length of stay, direct cost, morbidity, and mortality, in
academic medical centers with and without a value analysis
programs (VAP). Value analysis is the balance between the
business savings side of health care and patient outcomes.
Value analysis is also the methodical review of the value of
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