New Issue Briefs
on Quality Measures for Home- and Community-Based Services
The quality of life of persons living with all types of
disabilities is closely tied to the services they receive in home- and
community-based settings. Among these services are residential supports,
personal care services, and community living supports. Despite its
importance, the quality of home and community-based services (HCBS) has
historically been difficult to define and even more difficult to
measure.
By working with researchers, measure developers, policymakers,
and advocates, the NIDILRR-funded Rehabilitation Research and Training Center (RRTC) on
HCBS Outcome Measurement is committed to:
- Validating and refining a
national framework of HCBS outcomes for persons with disabilities
(National Quality Forum); and
- Implementing the framework
to refine and develop measures to assess the impact of HCBS on the
lives of people with disabilities in the community.
In order to assist stakeholders in understanding key aspects
of quality measure development, the RRTC on HCBS Outcomes has developed the
following issue briefs:
Forthcoming briefs will focus on:
- The psychometrics of HCBS
outcome measurement;
- Developing HCBS measures
that are responsive racial, ethnic, and cultural diversity;
- Person-centered
measurement;
- Measurement in HCBS: Best
practice versus current implementation;
- Functions and uses of
RTC/OM HCBS Outcome Measurement Instrument databases; and
- Use of HCBS outcome data
for policy-making decisions.
RRTC on HCBS Outcome Measurement staff from the University of
Minnesota are collaborating with Temple University, the Ohio State
University, the University of California - San Francisco, and
Brandeis University’s Lurie Institute for Disability Policy, as well
as other partners, supporters and stakeholders from around the country to
study and support development of HCBS quality measures. The RRTC also
offers technical assistance and consultation to organizations serving
people with disabilities around the country to assist with selection and
application of measures in different contexts.
For additional information please email rtcom@umn.edu.
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