The 2019 Ohio Medicaid Assessment Survey (OMAS) is a critical resource for assessing health statuses, health care access and service utilization, and select behavioral risks for Ohioans, with an emphasis on current Medicaid members and adults who are potentially eligible to receive Medicaid insurance. The 2019 OMAS is the 8th iteration of the series and builds upon prior surveys to identify trend changes for Ohio's Medicaid, Medicaid-eligible, and non-Medicaid populations. It is a cross-sectional random probability survey of non-institutionalized Ohio adults aged 19 years and older and proxy interviews of children aged 18 years and younger. The 2019 survey had a sample size of 31,559 adult interviews and 7,404 child interviews (via proxy adults).
The 2019 OMAS is an Ohio Medicaid Technical Assistance and Policy Program (MedTAPP) project funded by the Ohio Department of Medicaid (ODM) and The Ohio State University (OSU). The OMAS survey vendor is RTI International, a non-profit organization that provides research and technical services.
Survey Data
The 2019 OMAS public use dataset and documentation are available for download below. This public use dataset contains data collected from the adult and child questionnaires, except for select variables relating to the administration of data collection.
2019 Public Use Datasets
Please note that the 2019 Public Use Datasets were revised in November 2022 to address updates to the way that derived race-ethnicity variables were coded and how health insurance variables were imputed to better align with changes made in the 2021 OMAS data. Survey weights were also updated as part of the revision. If you utilized the earlier version of the file, your estimates may be slightly different, and we encourage you to re-download the file for analysis.
2019 OMAS Analytical Codebook
2019 OMAS Questionnaire
2019 County-Level Small Area Estimation Maps & Tables
For select variables, to increase the precision of key outcomes from OMAS at the county level, a small area estimation (SAE) methodology was implemented-- these variables were selected by the sponsoring agency and the OMAS Executive Committee.
Design and Methods
The 2019 OMAS was structured as a stratified random digit dial (RDD) dual-frame (cell phone and landline phone) complex designed (multiple strata) telephone survey that enables analyses at the state, Medicaid Managed Care Plan region, and select county levels. Survey weighting was performed in stages at the county, regional, state, oversample, and cell phone levels to provide robust analyses with inferential certainty. The sample excluded institutional settings such as university dorms, incarceration facilities, assisted living facilities, hospitals, and businesses. The selection method ensured a reliable sample of residents.
An additional address-based sampling (ABS) pilot was conducted within a limited number of Ohio counties to complement the RDD frame and determine the impact of using mail-to-web and paper response modes for potential OMAS iterations. Select counties were examined to understand county level differences between modes on estimates. Drop points with more than four units, non-OWGM PO Boxes, and businesses were excluded, however unlike the RDD frame, dormitories were included in the ABS frame. Over 1,500 interviews were completed via mail-to-web and paper response modes.
2019 Methodology Report
OMAS County Types
OMAS assigns counties to one of four mutually exclusive county types – rural Appalachian, rural non-Appalachian, metropolitan, and suburban. OMAS defines these county types in accordance with federal definitions, as follows: (1) Appalachia is defined using the Appalachian Regional Commission (ARC) standard; (2) Metropolitan is defined using US Census Bureau definitions incorporating urban areas and urban cluster parameters; (3) rural is defined by the Federal Office of Rural Health Policy at the Health Resources and Services Administration (HRSA), excluding Appalachian counties; (4) suburban is defined by the US Census Bureau and is characterized as a mixed-use or predominantly residential area within commuting distance of a city or metropolitan area.
These designations were originally set by the Ohio Department of Health in 1997 for the 1998 Ohio Family Health Survey (OFHS) and were slightly adjusted in 2004 and again adjusted in 2010 to include Ashtabula and Trumbull counties as Appalachian, in accordance with a federal re-designation. Guidance for these categories was provided by National Research Council’s Committee on Population and Demography staff – for original designations and revisions.
Research and Reports
Below is a list of briefs and chartbooks that address key findings from the 2019 OMAS. The analyses completed were exploratory and are meant to be descriptive in nature. Because they were not driven by specific research questions, no statistical testing was conducted, and the precision of provided estimates is assessed using confidence intervals. The provided confidence intervals should not be used to conduct “ad-hoc” testing to compare differences between groups. For any research using data from the 2019 OMAS, a research plan should be specified that includes primary hypotheses and corresponding statistical analysis strategies.
| Title and PI(s) | Download |
|---|---|
|
Mental Health Dushka Crane, PhD |
Chartbook |
|
Child Health in Ohio Christopher Browning, PhD |
Chartbook |
|
Chronic Disease Thomas J. Albani, MPH |
Chartbook |
|
Demographic and Health Characteristics of Ohio’s Non-Elderly Adult Medicaid Population Hilary Metelko Rosebrook, MPH |
Brief |
|
Employment Michael Nau, PhD |
Chartbook |
|
Housing Insecurity Douglas Spence, PhD |
Chartbook |
|
Public-Private Substitution among Adults in Ohio Medicaid Eric Seiber, PhD |
Brief |
|
Minority Health Townsand Price-Spratlen, PhD |
Chartbook |
|
Older Ohioan Health Profile Virginia Nivar, PhD |
Chartbook |
|
Rural Health Anirudh Ruhil, PhD |
Chartbook |
|
Social Determinants of Health Kelly Stamper Balistreri, PhD |
Chartbook |
|
A Profile of Substance Use in Ohio Megan Roberts, PhD |
Chartbook |
|
Women's Health Kelly Stamper Balistreri, PhD |
Chartbook |