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U.S. Department of Health and Human Services Office of Disease Prevention and Health Promotion

Reduce the proportion of people with intellectual and developmental disabilities who live in institutional settings with 7 or more people — DH‑03 Data Methodology and Measurement

On this page:  About the National Data  |  Methodology  |  History

About the National Data

Data

Data Source:  Residential Information Systems Project (RISP) Annual Survey of State Developmental Disabilities Agencies (RISP), University of Minnesota

Baseline: 22.7 percent of persons with intellectual and developmental disabilities enrolled in LTSS lived in congregate care residences with 7 or more people in 2016

Target: 11.5 percent

Numerator
Number of persons with intellectual and developmental disabilities enrolled in publicly funded long-term sercies and supports (LTSS) who live in congregate care residences that serve 7 or more people.
Denominator
Number of persons with intellectual and developmental disabilities enrolled in publicly funded LTSS who live in congregate care residences.
Target-setting method
Projection
Target-setting method details
Linear trend fitted using ordinary least squares and a projection at the 75 percent prediction interval.
1
Target-setting method justification
Trend data were evaluated for this objective. Using historical data points, a trend line was fitted using ordinary least squares, and the trend was projected into the next decade. This method was used because three or more comparable data points were available, the projected value was within the range of possible values, and a projection at the 75 percent prediction interval was selected because it was a conservative projection. This target was selected by the Healthy People 2030 Workgroup Subject Matter Experts based on previous improvements over the last decade and in acknowledgment of the many factors that can affect community living for people with disabilities.

Methodology

Questions used to obtain the national baseline data

(For additional information, please visit the data source page linked above.)

Residential Information Systems Projects Survey, 2016

How many people with intellectual and developmental disability lived in State-operated IDD settings on June 30, 2016 (by setting size and funding authority)?

Methodology notes

The Administration on Intellectual and Developmental Disabilities (HHS) funds administration of the annual RISP survey and maintenance of longitudinal data dating back to 1967. The University of Minnesota administers the survey to state Intellectual and Developmental Disabilities (IDD) directors or their designees annually. Respondents can complete the survey online or using a paper version. States report on all people with intellectual and developmental disabilities known to or served by the state IDD agency and report living arrangements for long-term supports and services (LTSS) recipients. Data are collected by setting size (1 to 3, 4 to 6, 7 to 15 and 16 or more people) and type (family home, host or foster home, group home, nursing home, psychiatric facility), provider type (state or non-state), and funding authority (Medicaid ICF/IID, Waiver or State Plan, or State/Local sources only). Some data are provided by recipient age (birth to 21 years or 22 years and older).

History

Comparable HP2020 objective
Modified, which includes core objectives that are continuing from Healthy People 2020 but underwent a change in measurement.
Changes between HP2020 and HP2030
This objective differs from the related Healthy People 2020 objectives in that it is a composite of objective DH-12.1, which tracked persons with disabilities aged 22 and older and objective DH-12.2 which tracked persons with disabilities aged 21 and under living in congregate care residences that served 16 or more persons. This objective tracks persons of all ages with disabilities living in congregate care residences that serve 7 or more persons.

1. Because Healthy People 2030 objectives have a desired direction (e.g., increase or decrease), the confidence level of a one-sided prediction interval can be used as an indication of how likely a target will be to achieve based on the historical data and fitted trend.