The Determinants of Length of Homeless Shelter Stays: Evidence-Based Regression Analyses

Objective: To identify determinants that contribute to the length of homeless shelter stay.Methods: We utilized a unique dataset from the Homeless Management Information Systems from Boston, Massachusetts, United States, which contains 44,197 shelter stays for 17,070 adults between Jan. 2014 and May...

Whakaahuatanga katoa

I tiakina i:
Ngā taipitopito rārangi puna kōrero
Ngā kaituhi matua: Haijing Hao (Author), Monica Garfield (Author), Sandeep Purao (Author)
Hōputu: Pukapuka
I whakaputaina: Frontiers Media S.A., 2022-01-01T00:00:00Z.
Ngā marau:
Urunga tuihono:Connect to this object online.
Ngā Tūtohu: Tāpirihia he Tūtohu
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!

MARC

LEADER 00000 am a22000003u 4500
001 doaj_2fcc8e3b254d47ee9ad51a26dc5eb6f4
042 |a dc 
100 1 0 |a Haijing Hao  |e author 
700 1 0 |a Monica Garfield  |e author 
700 1 0 |a Sandeep Purao  |e author 
245 0 0 |a The Determinants of Length of Homeless Shelter Stays: Evidence-Based Regression Analyses 
260 |b Frontiers Media S.A.,   |c 2022-01-01T00:00:00Z. 
500 |a 1661-8564 
500 |a 10.3389/ijph.2021.1604273 
520 |a Objective: To identify determinants that contribute to the length of homeless shelter stay.Methods: We utilized a unique dataset from the Homeless Management Information Systems from Boston, Massachusetts, United States, which contains 44,197 shelter stays for 17,070 adults between Jan. 2014 and May 2018.Results: Our statistical analyses and regression model analyses show that factors that contribute to the length of a homeless shelter stay include being female, senior, disability, being Hispanic, or being Asian or Black African. A significant fraction of homeless shelter stays (76%) are experienced by individuals with at least one of three disabilities: physical disability, mental health issues, or substance use disorder. Recidivism also contributes to longer homeless shelter stays.Conclusion: The results suggest possible program and policy implications. Several factors that contribute to longer homeless shelter stay, such as gender, age, disability, race, and ethnicity, may have funding implications. Age may point to the need for early interventions. Disability is developmental and may benefit from treatment and intervention. Finally, we find that length of stay and recidivism are not independent, and may form a vicious cycle that requires additional investigation. 
546 |a EN 
690 |a disability 
690 |a homeless shelter 
690 |a length of stay 
690 |a HMIS 
690 |a regression 
690 |a Public aspects of medicine 
690 |a RA1-1270 
655 7 |a article  |2 local 
786 0 |n International Journal of Public Health, Vol 66 (2022) 
787 0 |n https://www.ssph-journal.org/articles/10.3389/ijph.2021.1604273/full 
787 0 |n https://doaj.org/toc/1661-8564 
856 4 1 |u https://doaj.org/article/2fcc8e3b254d47ee9ad51a26dc5eb6f4  |z Connect to this object online.