Multi-method Community Inquiry (R2 Part B): Surveys of Community Members, Detroit and Flint, Michigan, 2019-2022 (ICPSR 38534)

Version Date: Oct 29, 2024

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Principal Investigator(s):
Rie Suzuki, University of Michigan-Flint. Public Health and Health Sciences

Series:

https://doi.org/10.3886/ICPSR38534.v2

Version V2 ()

  • V2 [2024-10-29]
  • V1 [2022-08-26] unpublished
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Summary

Multi-method Community Inquiry (R2 Part B): Surveys of Community Members was the second of a three-part study designed to enhance understanding of the complex interactions between the person and environment that are associated with healthy aging for individuals with long-term physical disabilities from low-income and minority communities and to identify best practices related to impactful policies, programs, and resources.

This study used cross-sectional surveys to identify environmental factors that support healthy aging among individuals with long-term physical disabilities from low-income and minority communities. The specific research questions in this project are:

  1. What kinds of systems, policies, and community programs do adults with physical disabilities use and how helpful do they perceive them to be?
  2. Does the use of these social recourses improve health outcomes?
  3. Do individuals from diverse backgrounds seem to benefit differently from the social resources available to them?

Citation

Suzuki, Rie. Multi-method Community Inquiry (R2 Part B): Surveys of Community Members, Detroit and Flint, Michigan, 2019-2022. Inter-university Consortium for Political and Social Research [distributor], 2024-10-29. https://doi.org/10.3886/ICPSR38534.v2

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Funding

United States Department of Health and Human Services. Administration for Community Living. National Institute on Disability, Independent Living, and Rehabilitation Research (90RTHF0001)

Subject Terms

Geographic Coverage

Smallest Geographic Unit

City

Restrictions

This data collection may not be used for any purpose other than statistical reporting and analysis. Use of these data to learn the identity of any person or establishment is prohibited. To protect respondent privacy, this data collection is restricted from general dissemination. To obtain this file, researchers must agree to the terms and conditions of a Restricted Data Use Agreement in accordance with existing ICPSR servicing policies.

Distributor(s)

Inter-university Consortium for Political and Social Research
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Time Period(s)

2019-11-01 -- 2022-07-31

Date of Collection

2019-11-01 -- 2022-07-31

Data Collection Notes

  1. For more information, please visit the University of Michigan Center for Disability Health and Wellness website.
  2. The variable ELIGIB_CITY is masked in the public-use data and unmasked in the restricted-use file. The data files are otherwise identical.
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Study Design

Participants were identified by medical records and recruited by email. If emails were not available, postcards were mailed to them. Later, non-responding participants were mailed with the survey with $1 included.

Sample

Convenience sampling

Time Method

Cross-sectional

Universe

Adults who met the following conditions: Self-reported ADL (activities of daily living) limitations, 65 years or older, Flint or Detroit residents, English speaker, and Michigan Medicine patient.

Unit(s) of Observation

Individual

Data Type(s)

Mode of Data Collection

Description of Variables

The study includes variables covering the following survey topics: Neighborhood, accessibility, social activity and support, paid and unpaid care, quality of life, and respondent disability and health conditions.

Response Rates

Of the 3360 patients with disability diagnosis codes in the year 2019-2020, 563 responded. After the eligibility assessment, 288 completed the full survey.

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Original Release Date

2022-08-26

Version History

2024-10-29 This study was updated to include the data and documentation.

2022-08-26 ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection:

  • Checked for undocumented or out-of-range codes.

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Notes