Yin-Ling Irene Wong1, Yiyue Huangfu2, Trevor Hadley3. 1. School of Social Policy & Practice, University of Pennsylvania 3701 Locust Walk, Philadelphia, PA 19104-6214, USA. Electronic address: ylwong@upenn.edu. 2. Department of Sociology, University of Wisconsin-Madison 1180 Observatory Drive, Madison, WI 53706-1393, USA. Electronic address: hfelaine@gmail.com. 3. Center for Mental Health Policy and Services Research, University of Pennsylvania 3535 Market Street, 3/F, Philadelphia, PA 19104, USA. Electronic address: thadley@upenn.edu.
Abstract
PURPOSE: This study examines the locational patterns of publicly-funded supportive housing for people with intellectual disability (people with ID) and people with psychiatric disorders (people with PD). METHODS: Administrative data provided housing locations of 4599 people with ID and people with PD in one urban county and one suburban county in the United States. Census tract data captured neighborhood characteristics. Descriptive statistics and spatial analysis were used to analyze the distribution of supportive housing sites. RESULTS: People with ID were more dispersed across a larger number of census tracts with smaller number of residents per tract than people with PD. While spatial dispersion in favor of people with ID was consistent across both counties, difference in dispersion was more pronounced in the urban county. People with PD were concentrated in neighborhoods with more socio-economic disadvantage, more residential instability, and a higher level of race/ethnic diversity than people with ID. CONCLUSION: This study suggests that spatial-analytic method can serve as a useful tool for assessing the extent to which integrated housing is achieved for people with ID and people with PD. Interpretation of findings should be given due consideration of the policy context and neighborhood characteristics of the study communities.
PURPOSE: This study examines the locational patterns of publicly-funded supportive housing for people with intellectual disability (people with ID) and people with psychiatric disorders (people with PD). METHODS: Administrative data provided housing locations of 4599 people with ID and people with PD in one urban county and one suburban county in the United States. Census tract data captured neighborhood characteristics. Descriptive statistics and spatial analysis were used to analyze the distribution of supportive housing sites. RESULTS:People with ID were more dispersed across a larger number of census tracts with smaller number of residents per tract than people with PD. While spatial dispersion in favor of people with ID was consistent across both counties, difference in dispersion was more pronounced in the urban county. People with PD were concentrated in neighborhoods with more socio-economic disadvantage, more residential instability, and a higher level of race/ethnic diversity than people with ID. CONCLUSION: This study suggests that spatial-analytic method can serve as a useful tool for assessing the extent to which integrated housing is achieved for people with ID and people with PD. Interpretation of findings should be given due consideration of the policy context and neighborhood characteristics of the study communities.
Authors: Courtney J Wright; Jacinta Colley; Kate Knudsen; Elizabeth Kendall Journal: Int J Environ Res Public Health Date: 2019-08-07 Impact factor: 3.390