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Journal articles on the topic 'Supported housing'

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Published: 4 June 2021
Last updated: 9 June 2025

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1

Rosenson, Marilyn K. "Supported Housing." Psychiatric Services 44, no. 9 (September 1993): 891. http://dx.doi.org/10.1176/ps.44.9.891.

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2

Boyle, Kathleen. "Housing Benefit for supported housing: Who should pay for supported and sheltered housing?" Housing, Care and Support 1, no. 1 (March 1, 1998): 27–29. http://dx.doi.org/10.1108/14608790199800009.

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His paper looks at the implications of a judicial review last July of four cases concerned with the eligibility of service charges for Housing Benefit funding. It explains why the NHF recommends that funding for tenancy support should remain part of the housing system rather than be moved to social services.
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3

Walker, Ryan, and Mark Seasons. "Planning Supported Housing." Journal of Planning Education and Research 21, no. 3 (March 2002): 313–19. http://dx.doi.org/10.1177/0739456x0202100308.

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4

Padgett, Deborah K. "Supported Housing and the Lamppost—or Supported Housing in the Spotlight?" Psychiatric Services 63, no. 7 (July 2012): 720. http://dx.doi.org/10.1176/appi.ps.20120p720.

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5

Fakhoury, Walid K. H., Alison Murray, Geoff Shepherd, and Stefan Priebe. "Research in supported housing." Social Psychiatry and Psychiatric Epidemiology 37, no. 7 (July 2002): 301–15. http://dx.doi.org/10.1007/s00127-002-0549-4.

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6

Hopper, Kim. "Supported Housing and the Lamppost—or Supported Housing in the Spotlight?: In Reply." Psychiatric Services 63, no. 7 (July 2012): 720–21. http://dx.doi.org/10.1176/appi.ps.20120p720a.

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7

Jung, Yoon Hye, Jung Seok Oh, Youn Jae Lee, Hee Won Yang, Ji Young Jung, and Yoon Ji Kim. "Impact on changes in residents’ quality of life after living in supported housing: Focusing on interviews with supported housing managers and residents." Korea Real Estate Society 70 (December 31, 2023): 119–39. http://dx.doi.org/10.37407/kres.2023.41.4.119.

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Housing stability of vulnerable population has been worsen following to social inequality and increase of the poor because of the social polarization problem. Supported housing which offers both housing and services to vulnerable population based on the Housing-First policy has been provided in Korea. Specifically Korean supported housing included the special types of residents such as the old, the disabled, homeless, and the mental disorder who need physical and mental helps. Evermore it provided them the physical living place and the housing maintenance services for helping them to live independently. Although total 673 supported housing have been provided from 2018, the study area about supported housing would like to be narrow and restrictive; the effect of supported housing policy was little explored and few study focused on the residential types of supported housing. It is requested to analyze how suitable the purposes of supported housing for quantitative expansion of supported housing, policy’s sustainability, and improvement of residents’ life quality. Therefore, this study would like to comprehend the characteristics of residents’ life changes, to derive an insufficient point, and to suggest a proposal. The target interviewees were the supervisors for all types of supported housing residents.
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8

Hollywood, Michele. "Supported housing and intermediate care." Working with Older People 6, no. 2 (June 2002): 40. http://dx.doi.org/10.1108/13663666200200024.

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9

Carling, Paul J. "Supported housing: An evaluation agenda." Psychosocial Rehabilitation Journal 13, no. 4 (April 1990): 95–104. http://dx.doi.org/10.1037/h0099469.

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10

Edwards, Sarah. "Tenant participation in supported housing." Housing, Care and Support 1, no. 1 (March 1, 1998): 34–36. http://dx.doi.org/10.1108/14608790199800011.

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11

Rog, Debra J. "The Evidence on Supported Housing." Psychiatric Rehabilitation Journal 27, no. 4 (2004): 334–44. http://dx.doi.org/10.2975/27.2004.334.344.

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12

Harvey, Carol, Eoin Killackey, Aaron Groves, and Helen Herrman. "A place to live: Housing needs for people with psychotic disorders identified in the second Australian national survey of psychosis." Australian & New Zealand Journal of Psychiatry 46, no. 9 (May 22, 2012): 840–50. http://dx.doi.org/10.1177/0004867412449301.

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Objective: Access to adequate housing consistent with personal preferences and needs is a human right and supports recovery from psychosis. This study aimed to: (1) describe people with psychosis living in different housing types, and their preferences and needs; (2) explore selected demographic and social inclusion correlates in relation to housing; and (3) compare two subgroups – participants living in supported group accommodation and supported housing – on key demographic, functional, clinical and social inclusion variables. Method: Current housing, preferences, needs and assistance, and housing-related social inclusion variables were assessed in a two-phase prevalence survey conducted within seven catchment areas across five Australian states. Two supported housing models were compared: supported group accommodation and supported housing (rental accommodation with in-reach support). Descriptive statistics were used. Results: Of the total participants (n = 1825), one half were living in public or private rented housing (48.6%) and 22.7% were waiting for public housing. Despite being the preferred form of housing, only 13.1% were living in their own home. One in 20 participants (5.2%) was currently homeless; 12.8% had been homeless in the previous 12 months. Residents of supported group accommodation felt safer in their locality than those in supported housing, but experienced less privacy and choice. Conclusions: Although fewer participants were homeless compared with the first Australian survey of psychosis, the proportion remains high. Housing difficulties are experienced by people with psychoses living in various accommodation and concern housing adequacy and safety as well as autonomy and choice. Access to public housing is restricted compared with the identified need. Since residents of supported group accommodation felt safer in their locality than those in supported housing, but experienced less privacy and choice, each supported housing model may offer different advantages to people with psychosis, and contribute to services that support and maintain recovery.
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13

Gawrys, Michael R., and Kim Skobba. "Timing of Age-Supported Housing Education." Journal of Family & Consumer Sciences 116, no. 4 (December 1, 2024): 12–19. https://doi.org/10.14307/jfcs116.4.12.

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Individuals aged 12 to 18 are establishing housing connections that could significantly impact their future housing choices when they are particularly susceptible to external influences. Recognizing the impact of early life experiences can enhance educational initiatives to assist adolescents in making more informed housing decisions. The research underscores the connection between age and the development of housing awareness. In particular, the period from 14 to 15 year olds emphasizes the role of timely intervention in shaping how adolescents think about their future accommodations. Primary sourced survey research, conducted in partnership with 4H, provides a critical opportunity to better understand when to engage these adolescents with housing education.
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14

Clarke, Jackie. "Developing housing and support standards in supported housing: How in practice can organisations providing supported housing assess ‘best value’?" Housing, Care and Support 3, no. 2 (June 2000): 23–27. http://dx.doi.org/10.1108/14608790200000014.

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15

Holmes‐Smith, Andrew. "Risk or opportunity? Risk management in supported housing." Housing, Care and Support 1, no. 4 (December 1, 1998): 21–25. http://dx.doi.org/10.1108/14608790199800040.

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THERE ARE PLENTY OF risks in the supported housing sector. Some are ever‐present while others are peculiar to our times ‐ like the interdepartmental review of Housing Benefit and the competitive climate that demands ‘more for less’. The Housing Corporation has developed guidance for registered social landlords and the National Housing Federation is now publishing additional material for supported housing. The guidance provides a framework for managing risks, which is abridged below, and this article summarises some of the key points.
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16

O’Donnell, Renee, Kostas Hatzikiriakidis, Melissa Savaglio, Dave Vicary, Jennifer Fleming, and Helen Skouteris. "The extent to which non-conditional housing programs improve housing and well-being outcomes: a systematic review." Housing, Care and Support 25, no. 1 (January 5, 2022): 46–60. http://dx.doi.org/10.1108/hcs-09-2021-0025.

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Purpose To reduce rates of homelessness, recent efforts have been directed toward developing non-conditional supported housing programs that prioritize the delivery of housing support and individual services, without tenancy conditions (i.e. maintaining sobriety and adhering to mental health treatment). As promising as these programs are, findings generally show that while housing stability is improved, other individual outcomes remain largely unchanged. No review to date has synthesized the collective evidence base of non-conditional housing programs, rather the focus has been on specific programs of delivery (e.g. Housing First) or on specific population groups (e.g. those with mental illness). The purpose of this paper is to evaluate the extent to which non-conditional housing interventions improve housing and well-being outcomes for all persons. Design/methodology/approach A systematic search of the literature was conducted for randomized controlled studies that evaluated the effectiveness of a non-conditional housing intervention in improving housing and health outcomes among any participant group. Findings A total of 31 studies were included in this review. Non-conditional supported housing programs were found to be most effective in improving housing stability as compared to health and well-being outcomes. Policymakers should consider this when developing non-conditional supported housing programs and ensure that housing and other health-related outcomes are also mutually supported. Originality/value This is the first review, to the authors’ knowledge, to synthesize the collective impact of all non-conditional supported housing programs. The current findings may inform the (re)design and implementation of supported housing models to prioritize the health and well-being of residents.
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17

Diamond, Ronald J. "The Psychiatrist's Role in Supported Housing." Psychiatric Services 44, no. 5 (May 1993): 461–64. http://dx.doi.org/10.1176/ps.44.5.461.

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18

Hatfield, Agnes B. "A Family Perspective on Supported Housing." Psychiatric Services 44, no. 5 (May 1993): 496–97. http://dx.doi.org/10.1176/ps.44.5.496.

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19

Jarvis, Alison. "Choice and control: in supported housing." Housing, Care and Support 2, no. 3 (September 1999): 31–32. http://dx.doi.org/10.1108/14608790199900029.

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20

Felce, David, Kathy Lowe, and Edwin Jones. "Staff Activity in Supported Housing Services." Journal of Applied Research in Intellectual Disabilities 15, no. 4 (December 2002): 388–403. http://dx.doi.org/10.1046/j.1468-3148.2002.00130.x.

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21

Molyneux, Peter. "A better future for supported housing." Housing, Care and Support 8, no. 1 (February 2005): 17–20. http://dx.doi.org/10.1108/14608790200500004.

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22

Soaita, Adriana Mihaela. "Supported Housing in Britain and Sweden." Housing, Theory and Society 33, no. 3 (February 15, 2016): 377–79. http://dx.doi.org/10.1080/14036096.2016.1145134.

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23

Streich, Lori. "Establishing good practice in risk assessment." Housing, Care and Support 1, no. 3 (September 1, 1998): 6–9. http://dx.doi.org/10.1108/14608790199800025.

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THE NEED FOR RISK assessment policies in relation to work with supported housing residents is both a legal requirement and a widely accepted aspect of good practice.This article looks at the issues and principles which guide the development of risk assessment policies in supported housing, and refers to two agencies: the Stonham Substance Misuse Service in Cornwall, which provides supportive housing for people who wish to live without substance misuse, and Western Challenge Housing Association, which has a range of general‐needs and supported housing provision.
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24

Oldman, Christine. "The provision of housing, care and support in rural areas." Housing, Care and Support 1, no. 4 (December 1, 1998): 12–15. http://dx.doi.org/10.1108/14608790199800037.

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POLICY GUIDANCE ON HOUSING and community care since 1990 has offered little analysis of the particular issues involved in developing housing and support to people living in rural settings. The Housing Associations' Charitable Trust (HACT) Rural Supported Housing Programme, working closely with the Rural Development Commission and the Housing Corporation, will over the next three years fund up to 30 rural supported housing projects. The University of York has started to carry out an evaluation of these.
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25

Killaspy, Helen, Stefan Priebe, Peter McPherson, Zohra Zenasni, Lauren Greenberg, Paul McCrone, Sarah Dowling, et al. "Predictors of moving on from mental health supported accommodation in England: national cohort study." British Journal of Psychiatry 216, no. 6 (May 3, 2019): 331–37. http://dx.doi.org/10.1192/bjp.2019.101.

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BackgroundAround 60 000 people in England live in mental health supported accommodation. There are three main types: residential care, supported housing and floating outreach. Supported housing and floating outreach aim to support service users in moving on to more independent accommodation within 2 years, but there has been little research investigating their effectiveness.AimsA 30-month prospective cohort study investigating outcomes for users of mental health supported accommodation.MethodWe used random sampling, accounting for relevant geographical variation factors, to recruit 87 services (22 residential care, 35 supported housing and 30 floating outreach) and 619 service users (residential care 159, supported housing 251, floating outreach 209) across England. We contacted services every 3 months to investigate the proportion of service users who successfully moved on to more independent accommodation. Multilevel modelling was used to estimate how much of the outcome and cost variations were due to service type and quality, after accounting for service-user characteristics.ResultsOverall 243/586 participants successfully moved on (residential care 15/146, supported housing 96/244, floating outreach 132/196). This was most likely for floating outreach service users (versus residential care: odds ratio 7.96, 95% CI 2.92–21.69, P < 0.001; versus supported housing: odds ratio 2.74, 95% CI 1.01–7.41, P < 0.001) and was associated with reduced costs of care and two aspects of service quality: promotion of human rights and recovery-based practice.ConclusionsMost people do not move on from supported accommodation within the expected time frame. Greater focus on human rights and recovery-based practice may increase service effectiveness.
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26

Podyma, Katarzyna. "Wsparcie osób z niepełnosprawnością intelektualną na przykładzie mieszkalnictwa wspomaganego." Parezja. Czasopismo Forum Młodych Pedagogów przy Komitecie Nauk Pedagogicznych PAN, no. 2(14) (2020): 92–105. http://dx.doi.org/10.15290/parezja.2020.14.08.

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The concept of supported housing has been described many times, but despite this, there is little research on the extent of support provided by supported housing for people with intellectual disabilities. Therefore, in conducting this research, I sought to answer the question: what is the support provided by assisted housing for people with intellectual disabilities? The research was conducted in one of the Supported Apartments for people with intellectual disabilities in Sosnowiec, Poland. I collected the necessary materials by using the method of direct participant observation and semi-structured direct interview. The research presented here shows the range of support provided by supported housing. Organizing the day, preparing meals, and resolving conflicts are essential skills that should be developed from an early age.
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MUIR, KRISTY, KAREN R. FISHER, DAVID ABELLO, and ANN DADICH. "‘I didn't like just sittin’ around all day’: Facilitating Social and Community Participation Among People with Mental Illness and High Levels of Psychiatric Disability." Journal of Social Policy 39, no. 3 (March 31, 2010): 375–91. http://dx.doi.org/10.1017/s0047279410000073.

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AbstractPeople with mental illness can be profoundly disabled and at risk of social exclusion. Transitional models of supported housing have limited effectiveness in improving community participation. Stable, individualised psychosocial housing support programmes have been found to assist in improving mental health and decreasing hospitalisations, but little is understood about whether or how these programmes facilitate social and community participation. This article argues that, if certain supports are available, supported housing models can assist people with high levels of psychiatric disability to participate meaningfully in the community. To make this case, the article uses findings of a longitudinal evaluation of a supported housing model in Australia: the Housing and Accommodation Support Initiative Stage One (HASI). HASI is a partnership between the New South Wales Government Departments of Health and Housing and non-government organisations. It is a coordinated approach that provides clients with housing and community-based clinical support, as well as support with daily living skills and community participation. An analysis of questionnaire, database, interview and clinical data is used to demonstrate how HASI contributes to increased social and community participation. The article concludes with policy implications for supported housing models that aim to facilitate meaningful community participation for people with mental illness.
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28

Ridgway, Priscilla, and Anthony M. Zipple. "Challenges and strategies for implementing supported housing." Psychosocial Rehabilitation Journal 13, no. 4 (1990): 115–20. http://dx.doi.org/10.1037/h0099467.

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29

Ryrie, Iain, Sorcha Breanach, and Adrian Grundy. "User involvement and collaboration in supported housing." British Journal of Community Nursing 3, no. 10 (November 1998): 507–11. http://dx.doi.org/10.12968/bjcn.1998.3.10.7178.

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30

Kemp, Julie. "Raise the Roof: Supported Housing User Consultation." British Journal of Learning Disabilities 29, no. 1 (March 2001): 39–40. http://dx.doi.org/10.1046/j.1468-3156.2001.00087.x.

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31

Eldemery, I. M. "Towards a participatory loan – supported housing scheme." Cities 19, no. 6 (December 2002): 401–8. http://dx.doi.org/10.1016/s0264-2751(02)00070-7.

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32

JARBRINK, KRISTER, ANGELA HALLAM, and MARTIN KNAPP. "Costs and outcomes management in supported housing." Journal of Mental Health 10, no. 1 (January 2001): 99–108. http://dx.doi.org/10.1080/09638230124436.

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33

Cheng, An-Lin, Haiqun Lin, Wesley Kasprow, and Robert A. Rosenheck. "Impact of Supported Housing on Clinical Outcomes." Journal of Nervous and Mental Disease 195, no. 1 (January 2007): 83–88. http://dx.doi.org/10.1097/01.nmd.0000252313.49043.f2.

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34

Sacks, Stanley, George De Leon, JoAnn Y. Sacks, Karen McKendrick, and Barry S. Brown. "TC-Oriented Supported Housing for Homeless MICAs." Journal of Psychoactive Drugs 35, no. 3 (September 2003): 355–66. http://dx.doi.org/10.1080/02791072.2003.10400018.

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35

Cumella, Stuart, and Sheila Heslam. "Supported housing for people with Down's syndrome." British Journal of Learning Disabilities 42, no. 4 (June 14, 2013): 251–56. http://dx.doi.org/10.1111/bld.12039.

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36

Sosin, Michael, Joan Schwingen, and Jane Yamaguchi. "Case Management and Supported Housing in Chicago." Alcoholism Treatment Quarterly 10, no. 3-4 (November 8, 1993): 35–50. http://dx.doi.org/10.1300/j020v10n03_04.

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37

Walker, Ryan, and Mark Seasons. "Supported Housing for People with Serious Mental Illness: Resident Perspectives on Housing." Canadian Journal of Community Mental Health 21, no. 1 (April 2002): 137–51. http://dx.doi.org/10.7870/cjcmh-2002-0010.

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38

Killaspy, Helen, Stefan Priebe, Michael King, Sandra Eldridge, Paul McCrone, Geoff Shepherd, Maurice Arbuthnott, et al. "Supported accommodation for people with mental health problems: the QuEST research programme with feasibility RCT." Programme Grants for Applied Research 7, no. 7 (September 2019): 1–82. http://dx.doi.org/10.3310/pgfar07070.

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Background Across England, around 60,000 people live in mental health supported accommodation: residential care, supported housing and floating outreach. Residential care and supported housing provide on-site support (residential care provides the highest level), whereas floating outreach staff visit people living in their own tenancies. Despite their abundance, little is known about the quality and outcomes of these services. Objectives The aim was to assess the quality, costs and effectiveness of mental health supported accommodation services in England. The objectives were (1) to adapt the Quality Indicator for Rehabilitative Care (QuIRC) and the Client Assessment of Treatment scale for use in mental health supported accommodation services; (2) to assess the quality and costs of these services in England and the proportion of people who ‘move on’ to less supported accommodation without placement breakdown (e.g. to move from residential care to supported housing or supported housing to floating outreach, or, for those receiving floating outreach, to manage with fewer hours of support); (3) to identify service and service user factors (including costs) associated with greater quality of life, autonomy and successful move-on; and (4) to carry out a feasibility trial to assess the required sample size and appropriate outcomes for a randomised evaluation of two existing models of supported accommodation. Design Objective 1 – focus groups with staff (n = 12) and service users (n = 16); psychometric testing in 52 services, repeated in 87 services (adapted QuIRC) and with 618 service users (adapted Client Assessment of Treatment scale). Objectives 2 and 3 – national survey and prospective cohort study involving 87 services (residential care, n = 22; supported housing, n = 35; floating outreach, n = 30) and 619 service users followed over 30 months; qualitative interviews with 30 staff and 30 service users. Objective 4 – individually randomised, parallel-group feasibility trial in three centres. Setting English mental health supported accommodation services. Participants Staff and users of mental health supported accomodation services. Interventions Feasibility trial involved two existing models of supported accommodation: supported housing and floating outreach. Main outcome measures Cohort study – proportion of participants who successfully moved to less supported accommodation at 30 months’ follow-up without placement breakdown. Feasibility trial – participant recruitment and withdrawal rates. Results The adapted QuIRC [QuIRC: Supported Accomodation (QuIRC-SA)] had excellent inter-rater reliability, and exploratory factor analysis confirmed its structural validity (all items loaded onto the relevant domain at the > ± 0.3 level). The adapted Client Assessment of Treatment for Supported Accommodation had good internal consistency (Cronbach’s alpha 0.89) and convergent validity (r s = 0.369; p < 0.001). Supported housing services scored higher than residential care and floating outreach on six out of seven QuIRC-SA quality domains. Service users had a high prevalence of severe self-neglect (57%) and vulnerability to exploitation (37%). Those in supported housing (25%) and floating outreach (20%) experienced more crime than those in residential care (4%) but had greater autonomy. Residential care was the most expensive service (mean cost per resident per week was £581 for residential care, £261 for supported housing and £66 for floating outreach) but supported users with the greatest needs. After adjusting for clinical differences, quality of life was similar for users of supported housing and residential care (mean difference –0.138, 95% confidence interval –0.402 to 0.126; p = 0.306), whereas autonomy was greater for supported housing users (mean difference 0.145, 95% confidence interval 0.010 to 0.279; p = 0.035). Qualitative interviews showed that staff and service users shared an understanding of service goals and what constituted effective support. After adjusting for clinical differences, those in floating outreach were more likely to move on successfully at 30 months’ follow-up than those in residential care [odds ratio (OR) 7.96; p < 0.001] and supported housing (OR 2.74; p < 0.001), and this was more likely for users of supported housing than residential care (OR 2.90; p = 0.04). Successful move-on was positively associated with scores on two QuIRC-SA domains: the degree to which the service promoted ‘human rights’ (e.g. facilitating access to advocacy) and ‘recovery-based practice’ (e.g. holding therapeutic optimism and providing collaborative, individualised care planning). Service use costs for those who moved on were significantly lower than for those who did not. Recruitment in the feasibility trial was difficult: 1432 people were screened but only eight were randomised. Barriers included concerns about accommodation being decided at random and a perceived lack of equipoise among clinicians who felt that individuals needed to ‘step down’ from supported housing to floating outreach services. Conclusions We did not find clear evidence on the most effective model(s) of mental health supported accommodation. Indeed, our feasibility study suggests that trials comparing effectiveness cannot be conducted in this country. A range of options are required to provide appropriate support to individuals with differing needs. Future work Future research in this field requires alternatives to trials. Service planners should be guided by the mental health needs of the local population and the pros and cons of the different services that our study identified, rather than purely financial drivers. Trial registration Current Controlled Trials ISRCTN19689576. Funding This programme was funded by the National Institute for Heath Research (NIHR) Programme Grants for Applied Research programme and will be published in full in Programme Grants for Applied Research; Vol. 7, No. 7. See the NIHR Journals Library website for further project information. The fundholders are Camden and Islington NHS Foundation Trust and the research is a collaboration between University College London, Queen Mary University of London, King’s College London, the University of Ulster and Durham University.
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Tamas, Daniela, Nina Brkic-Jovanovic, and Danica Vasiljevic. "Stress factors in persons with intellectual disabilities in different types of housing." Medical review 73, no. 7-8 (2020): 221–28. http://dx.doi.org/10.2298/mpns2008221t.

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Introduction. Type of housing is of great importance for the overall quality of life and general psychosocial well-being of persons with intellectual disabilities, as evidenced by the results of numerous studies showing that people with intellectual disabilities living in institutions have a lower level of life satisfaction compared to those living in the open community. Material and Methods. In order to determine the levels of experienced stress related to the type of housing in people with intellectual disabilities, we carried out a study including 122 persons with intellectual disabilities living in different types of housing; in institutions (n = 51), with families (n = 38), and in the supported housing program (n = 33). The Life Stress Inventory was used for the purpose of this research. Results. The results showed that people who were included in the supported housing program experienced the least stress, compared to the subjects who lived with their families or in institutions (p < 0.001). Stress was the least prevalent in the supported housing program, but the other two groups had similar results. The presence of stress did not differ significantly between subjects living with their families and those living in institutions. Conclusion. We can conclude that subjects living in supported housing experienced significantly less stress compared to the other two groups. Different types of housing were associated with different levels of stress. Overall, negative interpersonal relationship was identified as the stress factor that correlated most significantly with other stress factors.
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40

Muchomba, Felix M., Julien Teitler, and Nancy E. Reichman. "Association Between Housing Affordability and Severe Maternal Morbidity." JAMA Network Open 5, no. 11 (November 22, 2022): e2243225. http://dx.doi.org/10.1001/jamanetworkopen.2022.43225.

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ImportanceThe number of people living in unaffordable housing (relative to income) is projected to continue increasing as housing cost inflation outpaces incomes in the US. Although reproductive-aged women have disproportionately high housing costs, particularly around the time of childbirth, data on associations between housing costs and maternal health and the role of publicly supported affordable housing programs in mitigating those associations are lacking.ObjectiveTo estimate associations between area-level rental housing costs and severe maternal morbidity (SMM) and assess the potential mitigating role of publicly supported affordable housing.Design, Setting, and ParticipantsThis cross-sectional study linked New Jersey birth files from January 1, 2008, to December 31, 2018, to maternal hospital discharge records and municipal-level housing and demographic data from the state of New Jersey and the US Census Bureau. Data were analyzed from January to September 2022. The birth files contained records for all births in New Jersey, and the hospital discharge records contained information from all inpatient hospitalizations over the study period. A total of 1 004 000 birth records were matched to maternal discharge records and municipal-level data.ExposuresMunicipal-level rental costs relative to income (housing cost burden), availability of publicly supported affordable housing, and housing subsidy per person with an income lower than the federal poverty level.Main Outcomes and MeasuresSevere maternal morbidity was identified using diagnosis and procedure codes developed by the US Centers for Disease Control and Prevention to measure SMM.ResultsOf 1 004 000 mothers (mean [SD] age at birth, 29.8 [5.9] years; 44.7% White), 20 022 (2.0%) experienced SMM. Higher municipal rental housing costs were associated with greater odds of SMM (odds ratio [OR], 1.27; 95% CI, 1.01-1.60), particularly among mothers with less than a high school education (OR, 1.81; 95% CI, 1.06-3.10), and the positive associations decreased at higher levels of affordable housing availability. Among mothers with less than a high school education, the risk of SMM was 8.0% lower (risk ratio, 0.92; 95% CI, 0.85-1.00) for each additional $1000 annual municipal-level housing subsidy per person with an income lower than poverty level after controlling for rental costs and other characteristics, which translated to a 20.7% lower educational disparity in SMM.Conclusions and RelevanceIn this cross-sectional study, living in a municipality with higher rental housing costs was associated with higher odds of SMM, except when there was high availability of publicly supported affordable housing. These results suggest that greater availability of publicly supported affordable housing has the potential to mitigate the association between rental housing costs and SMM and reduce socioeconomic disparities in SMM.
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41

Schwehr, Belinda. "Supported housing and the law: The fractures in the housing and support partnership." Housing, Care and Support 7, no. 2 (June 2004): 26–31. http://dx.doi.org/10.1108/14608790200400013.

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42

Tsemberis, Sam, and Ronda F. Eisenberg. "Pathways to Housing: Supported Housing for Street-Dwelling Homeless Individuals With Psychiatric Disabilities." Psychiatric Services 51, no. 4 (April 2000): 487–93. http://dx.doi.org/10.1176/appi.ps.51.4.487.

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43

Nesse, Linda, Marianne Thorsen Gonzalez, Geir Aamodt, and Ruth Kjærsti Raanaas. "Recovery, quality of life and issues in supported housing among residents with co-occurring problems: a cross-sectional study." Advances in Dual Diagnosis 13, no. 2 (March 16, 2020): 73–87. http://dx.doi.org/10.1108/add-10-2019-0014.

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Purpose Recovery for residents who experience co-occurring problems and live in supported housing takes place in everyday contexts. This study aims to explore residents’ self-reported recovery and quality of life and examine the relationships between these factors and issues in supported housing. Design/methodology/approach A cross-sectional study was conducted at 21 supported housing sites in six cities across Norway. A total of 104 residents (76 men and 28 women) responded to measures of recovery (Recovery Assessment Scale – Revised), life satisfaction (Manchester Short Assessment of Quality of Life), affect (single items), staff support (Brief INSPIRE) and sense of home (single items). Findings Linear regression analyses indicated associations between recovery and staff support (B = 0.01, 95% CI = 0.01-0.02, ß = 0.39), housing satisfaction (B = 0.15, 95% CI = 0.07-0.22, ß = 0.38), sense of home (B = 0.23, 95% CI = 0.14-0.32, ß = 0.49) and satisfaction with personal economy (B = 0.11, 95% CI = 0.05-0.17, ß = 0.33). Similarly, associations were found between life satisfaction and staff support (B = 0.03, 95% CI = 0.02-0.04, ß = 0.46), housing satisfaction (B = 0.63, 95% CI = 0.46-0.80, ß = 0.60), sense of home (B = 0.65, 95% CI = 0.42-0.87, ß = 0.51) and satisfaction with personal economy (B = 0.34, 95% CI = 0.19-0.50, ß = 0.39). Originality/value The findings imply that core issues in supported housing, namely, staff support, housing satisfaction, sense of home and satisfaction with personal economy, are associated with recovery and quality of life.
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Yuliastuti, Nany, Annisa Mu'awanah Sukmawati, and Purwoningsih Purwoningsih. "UTILIZATION OF SOCIAL FACILITIES TO REINFORCE SOCIAL INTERACTION IN FORMAL HOUSING." International Journal of Architectural Research: ArchNet-IJAR 12, no. 1 (March 29, 2018): 134. http://dx.doi.org/10.26687/archnet-ijar.v12i1.1295.

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Formal housing development in Indonesia is supported by the availability of social facilities to develop social, economy, and culture of residents. Social facilities have an essential role to enhance the social values of residents by providing a space for interaction. This paper aims to examine utilization of social facilities to reinforce social interaction in a neighborhood by comparing the utilization of social facilities at two formal housings, built by the government and a private developer. The analytical method used is quantitative descriptive analysis through Crosstab Analysis. The study presented that the accessibility is the most important factor influencing the use of social facilities. Furthermore, social facilities at a private housing development are more effective to conduct social interaction than at a public housing development. Social facilities at private housing developments have a significant role as spaces for gathering and fostering social relationships among residents. Meanwhile, social interaction among residents at a public housing development is regardless of the use of social facilities due to a sense of community.
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Hobson, Jonathan, Kenneth Lynch, and Alex Lodge. "Residualisation in supported housing: an organisational case study." Housing, Care and Support 23, no. 1 (January 15, 2020): 1–13. http://dx.doi.org/10.1108/hcs-09-2019-0019.

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Purpose The purpose of this paper is to examine how residualisation is experienced across a supported housing provider in an English county. The analysis is in three parts: firstly, it focuses on organisational provision, including impacts of change on decisions on market entry and exit; secondly, it reviews evidence on service provision and the adaptations services are making to reflect the changing pressures of the sector; finally, it considers the impacts on service delivery and the experiences of those that rely on the provision. Design/methodology/approach The analysis uses interview data across the organisation, together with material from the UK Government department consultation (2017) and a UK Parliamentary Select Committee inquiry (2017) to examine the impacts across the different tiers of service, including the day-to-day experience of residualised services for those that deliver and receive that support. Findings The paper concludes that residualisation is a direct outcome of the neoliberalisation of welfare states, introducing limits to state involvement and funding, a greater emphasis on quasi-market involvement in the sector and a shifting of responsibility from government to individuals. Research limitations/implications It not only demonstrates the impacts of reducing state support on the supported housing sector but also emphasises the importance of residualisation as a conceptual framework applicable to the wider implications of austerity and neoliberal ideology. Practical implications This paper demonstrates the way that the burden of responsibility is being shifted away from the public provision of support and onto the individuals. This can be problematic for the individuals who are vulnerable as a result of their economic medical or social circumstances. Social implications The retreat of the state from supported housing is both a political change and an austerity-led change. This article provides insight from a single-supported housing provider. In so doing, it illustrates the pressure such an organisation is under. Originality/value This paper provides a unique insight from the perspective of all levels of a supported housing service provider, combined with the analysis of government consultation and parliamentary inquiry.
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46

Witheridge, Thomas F. "Assertive community treatment as a supported housing approach." Psychosocial Rehabilitation Journal 13, no. 4 (April 1990): 69–75. http://dx.doi.org/10.1037/h0099474.

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47

Yap, Jade, J. J. F. Breedvelt, Jolie Goodman, and Antonis A. Kousoulis. "Conducting evaluations with older populations in supported housing." Working with Older People 23, no. 1 (March 11, 2019): 1–6. http://dx.doi.org/10.1108/wwop-09-2018-0018.

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Purpose The purpose of this paper is to reflect on the challenges and learnings of evaluating a public mental health programme with older people: Standing Together, which delivered weekly facilitated self-help groups for older people in extra care housing. Following evaluation, a list of practical recommendations was developed to inform future evaluations of similar programmes. Design/methodology/approach This paper resulted from our reflections as evaluators or practitioners on Standing Together. The evaluation followed a mixed-methods design. It reflects on findings from the Standing Together evaluation, which employed quantitative and qualitative research methods to determine the project’s impact on key outcome areas. Quantitative questionnaires were completed by tenants at baseline and towards the end of the project. Focus groups were held with tenants and interviews were undertaken with multiple stakeholders. Findings There were challenges in evaluating Standing Together that were unique to the older population group. Recommendations cover the full spectrum of the role of practitioners, evaluators, setting and methodology. Co-production was found to be an overarching theme linking together the recommendations, and most of the challenges encountered can, in principle, be alleviated with greater focus on co-production during the evaluation design stage. Originality/value The recommendations in the paper have practical relevance to those involved in evaluations of public health programmes or interventions. Incorporating these recommendations when conducting similar evaluations with older populations in housing settings will ensure more accurate reporting of outcomes.
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Bannan, Mark, and Lynn Watson. "Review of supported housing in South West England." Housing, Care and Support 8, no. 2 (June 2005): 19–24. http://dx.doi.org/10.1108/14608790200500013.

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49

Pannell, Jenny. "Substance users and supported housing: what's the score?" Housing, Care and Support 9, no. 3 (December 2006): 15–23. http://dx.doi.org/10.1108/14608790200600019.

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Gabrielian, Sonya, Alaina V. Burns, Nupur Nanda, Gerhard Hellemann, Vincent Kane, and Alexander S. Young. "Factors Associated With Premature Exits From Supported Housing." Psychiatric Services 67, no. 1 (January 2016): 86–93. http://dx.doi.org/10.1176/appi.ps.201400311.

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