ORIGINAL ARTICLE
Association of Health Plans’ Healthcare Effectiveness Data
and Information Set (HEDIS) Performance With Outcomes
of Enrollees With Diabetes
Jeffrey S. Harman, PhD,* Sarah Hudson Scholle, DrPH,† Judy H. Ng, PhD,†
L. Gregory Pawlson, MD, MPH,† Russell E. Mardon, PhD,‡ Samuel C. (Chris) Haffer, PhD,§
Sarah Shih, MPH,¶ and Arlene S. Bierman, MD, MS
Background: Few quality of care evaluations examine the relation-
ship between clinical processes and patient outcomes.
Objective: To determine the association between health plan per-
formance on Healthcare Effectiveness Data and Information Set
(HEDIS) clinical processes and intermediate outcome measures and
Health Outcomes Survey (HOS) self-reported physical and mental
health scores among Medicare plan enrollees with diabetes.
Research Design: Secondary data analysis of 2002 HEDIS and
2001–2003 HOS data.
Subjects: This study focused on Medicare plan enrollees with
self-reported diabetes (N = 8184).
Measures: Plan-level HEDIS diabetes care measures for 2002 and
longitudinal, patient-level 2001–2003 HOS physical and mental
health outcomes scores. Hierarchical linear models estimated the
relationship between plan HEDIS performance on diabetes process
of care and intermediate outcome measures and 2-year changes in
enrollee HOS physical and mental health scores.
Results: Each 10% point improvement in plan performance on
HEDIS intermediate outcomes (ie, the proportion of well-controlled
diabetes) was related to significant positive increase in the proba-
bility of being healthy as measured by both enrollee physical health
scores (7 percentage point increase, P 0.05) and mental health
scores (11 percentage point increase, P 0.01). Similar increases in
plan process of care measures were associated with increases in the
probability of being healthy as measured by enrollee mental health
scores (11 percentage point increase, P 0.001).
Conclusions: This study represents one of the first attempts to link
plan HEDIS performance to changes in enrollee health. The results
suggest that improved quality of care, as measured by process and
intermediate outcomes measures for diabetes, can result in better
health among patients with diabetes. Further research should address
whether this relationship exists in other quality measures, clinical
conditions, and populations.
Key Words: Medicare, aged, managed care programs, outcome
and process assessment (health care), hierarchical linear models
(Med Care 2010;48: 217–223)
D
iabetes is one of the most costly and prevalent chronic
conditions in the Medicare population, prompting con-
tinued efforts to evaluate quality of diabetes care.
1,2
Although
measurement of quality in diabetes care is relatively ad-
vanced, there are still limited data that directly link clinical
process of care measures (eg, screening for hemoglobin A1c
HbA1c in patients with diabetes) or intermediate outcomes
(eg, control of HbA1c levels in patients with diabetes) with
indicators of the end results of healthcare, such as functional
outcomes or health status.
There is a special need for research that relates clinical
processes to patient outcomes in the Medicare population,
where management of chronic conditions may have an espe-
cially critical effect on quality of life. Although global health
outcomes, such as mortality and functional status, are con-
sidered to be the most critical indicators of health care
quality,
3
these outcomes are often difficult to link to the
actions of health providers.
4,5
Thus, in most quality evalua-
tions, measures of process or intermediate outcomes are
used.
6
However, to be considered valid measures of quality,
measures of process or intermediate outcomes must be clearly
linked to global health outcomes, which are more meaningful
from the patient perspective.
7–9
A prior study of patient out-
comes and health plan performance data found positive corre-
lations between clinical measures and member health status,
but did not consider longitudinal outcomes or health differ-
ences in plan populations.
10
This study tests a direct link between clinical process
measures and patient health status outcomes using data from
From the *Department of Health Services Research, Management and
Policy, College of Public Health and Health Professions, University of
Florida, Gainesville, FL; †National Committee for Quality Assurance,
Washington, DC; ‡Westat, Rockville, MD; §Centers for Medicare and
Medicaid Services, Baltimore, MD; ¶The New York City Department of
Health, New York, NY; and Li Ka Shing Knowledge Institute, Univer-
sity of Toronto, Toronto, Ontario, Canada.
Supported by the Centers for Medicare and Medicaid Services, US Depart-
ment of Health and Human Services.
The views expressed in this article are the authors’ and do not necessarily
represent the views of the US Department of Health and Human Services,
or Centers for Medicare & Medicaid Services.
Reprints: Sarah Hudson Scholle, MPH, DrPH, National Committee for
Quality Assurance, 1100 13th Street NW, Suite 1000, Washington, DC
20005. E-mail: scholle@ncqa.org.
Copyright © 2010 by Lippincott Williams & Wilkins
ISSN: 0025-7079/10/4803-0217
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