Capturing Intervention Effects Over Time: Reanalysis of a Critical Time Intervention for Homeless Mentally Ill Men
We analyzed whether a method for identifying latent trajectories--latent class growth analysis (LCGA)--was useful for understanding outcomes for individuals subject to an intervention. We used LCGA to reanalyze data from a published study of mentally ill homeless men in a critical time intervention...
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| Veröffentlicht in: | American journal of public health (1971) 2005-10, Vol.95 (10), p.1760-1766 |
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| container_title | American journal of public health (1971) |
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| creator | Lennon, Mary Clare McAllister, William Kuang, Li Herman, Daniel B |
| description | We analyzed whether a method for identifying latent trajectories--latent class growth analysis (LCGA)--was useful for understanding outcomes for individuals subject to an intervention.
We used LCGA to reanalyze data from a published study of mentally ill homeless men in a critical time intervention (CTI) program. In that study, 96 men leaving a shelter's on-site psychiatric program were randomly assigned to experimental and control groups. The former received CTI services and the latter usual services. Each individual's housing circumstances were observed for 18 months after program initiation. Our outcome measure was monthly homelessness: a person was considered homeless in a month if he was homeless for even 1 night that month.
Four latent classes were found among the control group, but just 3 among the experimental group. Control, but not experimental, group individuals showed a small class of chronically homeless men. The size of the never-homeless class was 19 percentage points larger for the experimental than for the control group. J- and inverted-U-shaped patterns were also found among both groups, but with important differences in timing of patterns.
Our results reveal effects not apparent in the original analysis, suggesting that latent class growth models improve intervention evaluation. |
| doi_str_mv | 10.2105/AJPH.2005.064402 |
| format | Article |
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We used LCGA to reanalyze data from a published study of mentally ill homeless men in a critical time intervention (CTI) program. In that study, 96 men leaving a shelter's on-site psychiatric program were randomly assigned to experimental and control groups. The former received CTI services and the latter usual services. Each individual's housing circumstances were observed for 18 months after program initiation. Our outcome measure was monthly homelessness: a person was considered homeless in a month if he was homeless for even 1 night that month.
Four latent classes were found among the control group, but just 3 among the experimental group. Control, but not experimental, group individuals showed a small class of chronically homeless men. The size of the never-homeless class was 19 percentage points larger for the experimental than for the control group. J- and inverted-U-shaped patterns were also found among both groups, but with important differences in timing of patterns.
Our results reveal effects not apparent in the original analysis, suggesting that latent class growth models improve intervention evaluation.</description><identifier>ISSN: 0090-0036</identifier><identifier>EISSN: 1541-0048</identifier><identifier>DOI: 10.2105/AJPH.2005.064402</identifier><identifier>PMID: 16131636</identifier><identifier>CODEN: AJPHDS</identifier><language>eng</language><publisher>United States: Am Public Health Assoc</publisher><subject>Adult ; Analysis of Variance ; Community Mental Health Services - organization & administration ; Data Collection - methods ; Deinstitutionalization - organization & administration ; Growth models ; Homeless people ; Humans ; Ill-Housed Persons - classification ; Ill-Housed Persons - statistics & numerical data ; Intervention ; Likelihood Functions ; Longitudinal Studies ; Male ; Men ; Mental disorders ; Mental Disorders - prevention & control ; Middle Aged ; Models, Statistical ; New York City ; Outcome Assessment, Health Care - methods ; Outcome Assessment, Health Care - standards ; Probability ; Program Evaluation - methods ; Program Evaluation - standards ; Psychiatry - organization & administration ; Public health ; Randomized Controlled Trials as Topic ; Research and Practice ; Survival Analysis ; Taxonomy ; Time Factors ; Time series</subject><ispartof>American journal of public health (1971), 2005-10, Vol.95 (10), p.1760-1766</ispartof><rights>Copyright American Public Health Association Oct 2005</rights><rights>American Journal of Public Health 2005 2005</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c454t-216fe302e66706ceb0c5f2ddb2deb9bc9cec7a686d5ef463a5adb087a24409863</citedby><cites>FETCH-LOGICAL-c454t-216fe302e66706ceb0c5f2ddb2deb9bc9cec7a686d5ef463a5adb087a24409863</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC1449433/pdf/$$EPDF$$P50$$Gpubmedcentral$$H</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC1449433/$$EHTML$$P50$$Gpubmedcentral$$H</linktohtml><link.rule.ids>230,314,723,776,780,881,27843,27901,27902,53766,53768</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/16131636$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Lennon, Mary Clare</creatorcontrib><creatorcontrib>McAllister, William</creatorcontrib><creatorcontrib>Kuang, Li</creatorcontrib><creatorcontrib>Herman, Daniel B</creatorcontrib><title>Capturing Intervention Effects Over Time: Reanalysis of a Critical Time Intervention for Homeless Mentally Ill Men</title><title>American journal of public health (1971)</title><addtitle>Am J Public Health</addtitle><description>We analyzed whether a method for identifying latent trajectories--latent class growth analysis (LCGA)--was useful for understanding outcomes for individuals subject to an intervention.
We used LCGA to reanalyze data from a published study of mentally ill homeless men in a critical time intervention (CTI) program. In that study, 96 men leaving a shelter's on-site psychiatric program were randomly assigned to experimental and control groups. The former received CTI services and the latter usual services. Each individual's housing circumstances were observed for 18 months after program initiation. Our outcome measure was monthly homelessness: a person was considered homeless in a month if he was homeless for even 1 night that month.
Four latent classes were found among the control group, but just 3 among the experimental group. Control, but not experimental, group individuals showed a small class of chronically homeless men. The size of the never-homeless class was 19 percentage points larger for the experimental than for the control group. J- and inverted-U-shaped patterns were also found among both groups, but with important differences in timing of patterns.
Our results reveal effects not apparent in the original analysis, suggesting that latent class growth models improve intervention evaluation.</description><subject>Adult</subject><subject>Analysis of Variance</subject><subject>Community Mental Health Services - organization & administration</subject><subject>Data Collection - methods</subject><subject>Deinstitutionalization - organization & administration</subject><subject>Growth models</subject><subject>Homeless people</subject><subject>Humans</subject><subject>Ill-Housed Persons - classification</subject><subject>Ill-Housed Persons - statistics & numerical data</subject><subject>Intervention</subject><subject>Likelihood Functions</subject><subject>Longitudinal Studies</subject><subject>Male</subject><subject>Men</subject><subject>Mental disorders</subject><subject>Mental Disorders - prevention & control</subject><subject>Middle Aged</subject><subject>Models, Statistical</subject><subject>New York City</subject><subject>Outcome 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(1971)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lennon, Mary Clare</au><au>McAllister, William</au><au>Kuang, Li</au><au>Herman, Daniel B</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Capturing Intervention Effects Over Time: Reanalysis of a Critical Time Intervention for Homeless Mentally Ill Men</atitle><jtitle>American journal of public health (1971)</jtitle><addtitle>Am J Public Health</addtitle><date>2005-10-01</date><risdate>2005</risdate><volume>95</volume><issue>10</issue><spage>1760</spage><epage>1766</epage><pages>1760-1766</pages><issn>0090-0036</issn><eissn>1541-0048</eissn><coden>AJPHDS</coden><abstract>We analyzed whether a method for identifying latent trajectories--latent class growth analysis (LCGA)--was useful for understanding outcomes for individuals subject to an intervention.
We used LCGA to reanalyze data from a published study of mentally ill homeless men in a critical time intervention (CTI) program. In that study, 96 men leaving a shelter's on-site psychiatric program were randomly assigned to experimental and control groups. The former received CTI services and the latter usual services. Each individual's housing circumstances were observed for 18 months after program initiation. Our outcome measure was monthly homelessness: a person was considered homeless in a month if he was homeless for even 1 night that month.
Four latent classes were found among the control group, but just 3 among the experimental group. Control, but not experimental, group individuals showed a small class of chronically homeless men. The size of the never-homeless class was 19 percentage points larger for the experimental than for the control group. J- and inverted-U-shaped patterns were also found among both groups, but with important differences in timing of patterns.
Our results reveal effects not apparent in the original analysis, suggesting that latent class growth models improve intervention evaluation.</abstract><cop>United States</cop><pub>Am Public Health Assoc</pub><pmid>16131636</pmid><doi>10.2105/AJPH.2005.064402</doi><tpages>7</tpages><oa>free_for_read</oa></addata></record> |
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| subjects | Adult Analysis of Variance Community Mental Health Services - organization & administration Data Collection - methods Deinstitutionalization - organization & administration Growth models Homeless people Humans Ill-Housed Persons - classification Ill-Housed Persons - statistics & numerical data Intervention Likelihood Functions Longitudinal Studies Male Men Mental disorders Mental Disorders - prevention & control Middle Aged Models, Statistical New York City Outcome Assessment, Health Care - methods Outcome Assessment, Health Care - standards Probability Program Evaluation - methods Program Evaluation - standards Psychiatry - organization & administration Public health Randomized Controlled Trials as Topic Research and Practice Survival Analysis Taxonomy Time Factors Time series |
| title | Capturing Intervention Effects Over Time: Reanalysis of a Critical Time Intervention for Homeless Mentally Ill Men |
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