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PLOS One logoLink to PLOS One
. 2020 Apr 9;15(4):e0230896. doi: 10.1371/journal.pone.0230896

The effectiveness of case management interventions for the homeless, vulnerably housed and persons with lived experience: A systematic review

David Ponka 1, Eric Agbata 2, Claire Kendall 3,4,5, Vicky Stergiopoulos 6, Oreen Mendonca 3, Olivia Magwood 3, Ammar Saad 3,7, Bonnie Larson 8, Annie Huiru Sun 3, Neil Arya 9, Terry Hannigan 3, Kednapa Thavorn 5,7, Anne Andermann 10, Peter Tugwell 11, Kevin Pottie 3,4,*
Editor: Stefano Federici12
PMCID: PMC7313544  PMID: 32271769

Abstract

Background

Individuals who are homeless or vulnerably housed are at an increased risk for mental illness, other morbidities and premature death. Standard case management interventions as well as more intensive models with practitioner support, such as assertive community treatment, critical time interventions, and intensive case management, may improve healthcare navigation and outcomes. However, the definitions of these models as well as the fidelity and adaptations in real world interventions are highly variable. We conducted a systematic review to examine the effectiveness and cost-effectiveness of case management interventions on health and social outcomes for homeless populations.

Methods and findings

We searched Medline, Embase and 7 other electronic databases for trials on case management or care coordination, from the inception of these databases to July 2019. We sought outcomes on housing stability, mental health, quality of life, substance use, hospitalization, income and employment, and cost-effectiveness. We calculated pooled random effects estimates and assessed the certainty of the evidence using the GRADE approach. Our search identified 13,811 citations; and 56 primary studies met our full inclusion criteria. Standard case management had both limited and short-term effects on substance use and housing outcomes and showed potential to increase hostility and depression. Intensive case management substantially reduced the number of days spent homeless (SMD -0.22 95% CI -0.40 to -0.03), as well as substance and alcohol use. Critical time interventions and assertive community treatment were found to have a protective effect in terms of rehospitalizations and a promising effect on housing stability. Assertive community treatment was found to be cost-effective compared to standard case management.

Conclusions

Case management approaches were found to improve some if not all of the health and social outcomes that were examined in this study. The important factors were likely delivery intensity, the number and type of caseloads, hospital versus community programs and varying levels of participant needs. More research is needed to fully understand how to continue to obtain the increased benefits inherent in intensive case management, even in community settings where feasibility considerations lead to larger caseloads and less-intensive follow-up.

Introduction

Homeless and vulnerably housed populations have poorer health outcomes including acute and chronic illness [1], traumatic injury [1], mental health and substance use disorders [27], and mortality [8]. While often related to individual medical and complex social needs, structural challenges posed by fragmented health and social systems create a potent mix of barriers to access to health care. These include a lack of sufficient language capacity, awareness of affordable healthcare services and their location, transportation services, childcare, and reasonable wait times. When coupled with previous experiences of rejection or discrimination from service providers, these barriers further contribute to individuals failing to access appropriate and available health care [911].

To address these barriers, people who are homeless or vulnerably housed may benefit from tailored, patient-centered care with an integrated approach to community and social services [1214]. Case management (CM) is one such intervention where individual case managers respond to the complexity of navigating the healthcare system by assessing, planning and facilitating access to health and social services [15,16]. While case management interventions are heterogeneous in definition, complexity, target populations served, and modes of delivery [12], among these, four predominant models have evolved in relation to health care: standard case management (SCM), intensive case management (ICM), assertive community treatment (ACT), and critical time intervention (CTI) (See Table 1) [17].

Table 1. Characteristics of case management models- Adapted from de Vet et al. 2013 [15].

Standard Case Management Intensive Case Management Assertive Community Treatment Critical Time Intervention
Focus of Services Coordination of services Comprehensive approach addressing several needs (i.e. housing, physical and mental health, addictions services etc.) Comprehensive approach addressing several needs (i.e. housing, physical and mental health, addictions services etc.) Targeted to continuity of care between a period of transition i.e. between precarious housing conditions (i.e. living in a shelter or discharged from hospital) and independent housing arrangements
Target Population Homeless persons with complex health concerns Homeless persons with the greatest service need i.e. persons with serious mental illnesses, but typically fewer hospitalizations or less functional impairments [18], and for people experiencing addictions [19]. Homeless persons with the greatest service need i.e. for persons with serious mental illness, often schizophrenia or bipolar disorder, accompanied by a history of multiple psychiatric hospitalizations and functional impairment [20]. Homeless persons at critical transitions in their lives i.e. between a shelter or hospital and independent housing
Access Point Varies by location. Typically services are accessed through a referral by healthcare professionals (clinician, nurse, social worker, outreach worker). Some locations offer self-referral services where clients can apply for access to services on their own [21].
Duration of Services Time limited. once the case manager has brokered the client to a service provider, the service provider to provide ongoing support until a positive outcome is achieved [15]. Ongoing Ongoing but transfer to lower intensity services is common after a period of stability [22,23]. Time-limited. Usually a period of 9 months after institutional discharge or placement in housing [22].
Availability of case management services up to 12 hours per day, 7 days a week [24]. 24 hours per day, 7 days per week availability [22].
Where services are offered Brokering of services to other providers [25]. Case manager accompanies clients to meetings and appointments [24]. Services are offered in a natural setting such as the workplace, home or social setting [15,22]. Worker provides services in the home and helps to strengthen community networks [22].
Coordination of access to services run by other agencies or service provision by the agency itself Coordination Coordination and service provision Coordination and service provision Coordination and service provision
Average Caseload (program intensity) 35 15 15 25
Outreach No Yes Yes Yes
Responsibility for clients’ care Case managers can originate from several different teams (a mental health team, addictions care team, primary care health team, shelter team, Housing First etc.). Regardless of the team, all case managers play the role of navigator and keep the client’s needs at the forefront of their care.
Case manager or a navigator role is played by a clinician, nurse, community outreach worker, or social worker [15,26]. Case manager A multidisciplinary team including case managers, peer support workers, and physicians [20]. Case manager or CTI worker [22].
Case example Client is homeless or vulnerably housed with no serious mental illness or addictions concerns. Client accesses SCM. Here a clinician, nurse, social worker or outreach worker to play the role of a standard case manager and refer to needed services. Client is homeless or vulnerably housed with a serious mental illness and/or addiction concern. Client accesses ICM. Here a case manager will arrange for needed assistance and will accompany them to services. Client is homeless or vulnerably housed with a serious mental illness and/or addiction concern and a history of recurrent hospitalizations. Client accesses ACT. A multidisciplinary team led by a case manager, will offer services in the client’s natural setting (home/workplace). Client is homeless or vulnerably housed and is in a period of transition (i.e. from a shelter or hospital into a housing unit). Client accesses CTI where a case manager or CTI worker will broker or provide services to help with the transition.

Case management has been shown to improve patient satisfaction [27], quality of life, and the utilization of community-based services among other high-risk populations [28]. However, the evidence base for CM and its implementation among homeless and vulnerably housed populations remains sparse. This review is one of a series of reviews on the effectiveness of providing interventions for homeless and/or vulnerably housed persons. The objective of this review is to assess the effectiveness and cost-effectiveness of four CM models for the health and social outcomes of homeless or vulnerably housed individuals in the following domains: housing stability, mental health, substance use, quality of life, hospitalization, employment and income.

Methods

Protocol registration and reporting

We conducted a systematic review according to a published peer-reviewed protocol [29]. The protocol was not registered in an open-access registry (e.g. PROSPERO) prior to publication. We followed the PRISMA checklist and SWiM (Synthesis Without Meta-Analysis) reporting guidelines when reporting our findings (see S1 File) [30,31]. Ethical approval was not required for this study.

Selection of priority interventions

We conducted a Delphi consensus process with 84 experienced healthcare practitioners and 76 persons with lived homelessness experience to prioritize person-centered and clinically meaningful priority topics, outcomes, and subgroups [32]. Among these, case management and care coordination were highly prioritized. We then scoped literature using Google Scholar and PubMed to broadly determine a list of interventions and terms relating to each of the Delphi priority topic categories. A working group was formed to arrive at a consensus and inform the final selection of interventions to be included in this review. This working group consisted of medical practitioners, allied health professionals, and community scholars (people with lived experience of homelessness or vulnerable housing) [33]. Our working group deliberated the value of systematic reviews and evidence-based guidelines on various interventions, giving significant weight to the needs and opinions of persons with lived experience of homelessness. Consensus of the working group was to describe case management interventions by level of intensity (Table 1)

Search strategy and selection criteria

A search strategy was developed and peer-reviewed by a health science librarian. We searched MEDLINE, Embase, CINAHL, PsycINFO, Epistemonikos, HTA database, NHSEED, DARE, and the Cochrane Central Register of Controlled Trials (CENTRAL) from the inception of these databases to February 8, 2018, for studies on effectiveness, cost and cost-effectiveness. A combination of indexed terms, free text words, and MeSH headings were used (See S2 File). There were no date or language restrictions. We searched the reference lists of relevant systematic reviews for studies that met our inclusion criteria. We consulted experts in the field of homelessness and people with lived experience to identify any additional studies we may have missed. We updated our search on July 19, 2019 and deduplicated against our previous search to identify trials published since February 2018.

The results were uploaded to Rayyan reference manager software to facilitate the study selection process [34]. Teams of review authors assessed each study for inclusion in duplicate (See Table 2); disagreements were resolved through discussion or a third reviewer. All peer-reviewed studies that assessed case management interventions among homeless or vulnerably housed populations and that reported on relevant outcomes were included. We excluded articles where case management was delivered as a component of a permanent supportive housing intervention as this is covered by a parallel review [35].

Table 2. Eligibility criteria.

Study Characteristics Inclusion Criteria Definitions
Population People experiencing homelessness and vulnerable housing. If study populations were heterogeneous, we included the study if the population was comprised of >50% homeless or vulnerably housed individuals.
Interventions Standard Case Management (SCM) These allow for the provision of an array of social, healthcare, and other services with the goal of helping the client maintain good health and social relationships. This is done by “including engagement of the patient, assessment, planning, linkage with resources, consultation with families, collaboration with psychiatrists, patient psychoeducation, and crisis intervention” [36].
Intensive Case Management (ICM) ICM helps service users maintain housing and achieve a better quality of life through the support of a case manager that brokers access to an array of services. The case manager accompanies the service user to meetings and can be available for up to 12 hours per day, 7 days a week. Case managers for ICM often have a caseload of 15–20 service users each [15].
Assertive Community Treatment (ACT) ACT offers team-based care by a multidisciplinary group of healthcare workers in the community. This team has 24 hours per day, 7 days per week availability and provides services tailored to the needs and goals of each service user [15,23].
Critical Time Intervention (CTI) CTI is a service that supports continuity of care for service users during times of transition; for example, from a shelter to independent housing or following discharge from a hospital. This service strengthens the person’s network of support in the community [37]. It is administered by a CTI worker and is a time-limited service, of usually a period of 6–9 months.
Comparison No intervention, standard intervention, alternative intervention, treatment as usual.
Outcomes Housing stability, mental health, quality of life, substance use, hospitalization, income, and employment-related outcomes.
Study Characteristics Primary studies as defined by EPOC criteria [38] Randomized controlled trials Non-randomized controlled trials Controlled before-after studies Interrupted time series and repeated measures studies Cost or cost-consequence studies Full economic evaluation studies: cost-minimization analysis, cost-benefit analysis, cost-effectiveness analysis, and cost-utility analysis. All study designs must include interventions with a comparison/control group and have measured outcomes.
Study Characteristics Exclusion Criteria Justifications
Studies taking place in low- middle-income countries [39]. Due to the variability in access to resources and supports in comparison to that in a high-income country vary greatly. We feel that the settings are different and should be synthesized separately
Studies that exclusively report on Indigenous specific interventions The analysis of the interventions tailored to this population will be covered by an Indigenous research group.
Case management delivered as a component of a permanent supportive housing intervention This is covered by a parallel systematic review [35].

Data analysis

We used a standardized data extraction sheet that included the study methodology, population, intervention, control, outcome, study limitations, and funding details. The data were extracted independently by two reviewers. Disagreements were resolved through discussion. To prevent double-counting of outcomes, individual records were carefully screened to identify unique trial studies. Each study was then evaluated for potential overlap using study design, enrollment and data collection dates, authors and their associated affiliations and the reported selection and eligibility criteria in the studies to inform the assessment. Studies deemed to be at risk for double-counting were discussed by the research team and decisions for inclusion in meta-analysis (and any additional analyses) were made. We used the Cochrane Risk-of-Bias tool to assess the quality of each study’s methodology, in duplicate [40].

Where possible, we conducted meta-analysis of measures of effectiveness using random effects models due to their consideration of heterogeneity using RevMan 5.3 software [41]. We verified that the random effects model did not under-estimate the confidence intervals by running parallel fixed effects analyses. We present the summary effects as relative risks or standardized mean differences, as appropriate. Where study heterogeneity did not allow for meta-analysis, we employed a narrative synthesis, defined as a “synthesis of findings from multiple studies that relies primarily on the use of words and text to summarise and explain the findings of the synthesis. Whilst it can involve the manipulation of statistical data, the defining characteristic is that it adopts a textual approach to the process of synthesis to ‘tell the story’ of the findings from the included studies” [42]. We used the GRADE approach to appraise the certainty of the evidence (See Table 3) [43].

Table 3. GRADE certainty of evidence and definitions.

Certainty rating Definition
High Further research is very unlikely to change our confidence in the estimate of the effect
Moderate Further research is likely to have an important impact on our confidence in the estimate of the effect and may change the estimate
Low Further research is very likely to have an important impact on our confidence in the estimate of the effect and is likely to change the estimate
Very low Any estimate of the effect is very uncertain

Source: [43]

Results

We identified 11,934 citations from bibliographic databases and an additional 17 from other sources. After removing duplicates, we screened 7,514 titles and abstracts for eligibility. We assessed 268 citations at full-text, of which 214 were excluded (See Fig 1 and S3 File). Our updated search yielded a total of 1877 additional records, of which 1869 records were screened by title and abstract after removing duplicates. We assessed 36 articles at full text, of which 34 were excluded (See Fig 2). From both searches, we included a total of 56 citations, of which 11 reported on SCM [4454], 10 on ACT [25,5563], 17 on ICM [6480], and 11 on CTI [8191]. Twelve articles provided evidence on cost-effectiveness; 3 on SCM [50,79,92]; 6 on ACT [56,59,9396]; 2 on ICM [97,98]; and 1 for CTI [89] (See Figs 1 and 2). Five of the cost-effectiveness articles were included in the effectiveness analysis as well [50,56,59,79,89]. The majority of the included studies were set in the United States, with three studies from Europe and one from Australia. All of the studies focused on homeless and vulnerably housed populations, with varying levels of participant profiles and comorbidities across studies. All trials compared case management interventions to usual care (UC) or an alternative intervention, such as rent vouchers, peer support groups or drop-in services. Appendix S4 lists the characteristics of the included studies on SCM, ICM, ACT, CTI and cost-effectiveness studies.

Fig 1. PRISMA flow diagram of search up to February 2018.

Fig 1

Fig 2. PRISMA flow diagram with updated search up to July 2019.

Fig 2

Characteristics of included studies (SCM)

The effects of all of the case management interventions are summarized in Table 4. In our risk-of-bias assessment (See S5 File), we found that the majority of studies had methodological deficiencies in randomization, allocation concealment and blinding of participants and personnel. The GRADE certainty of the evidence for critical patient-important outcomes is available in S6 File.

Table 4. Results of studies comparing assertive community treatment, intensive case management, critical time interventions, and standard case management to control services.

Is the between-group difference significantly favouring the case management intervention?
Intervention* Study ID Housing stability Mental health Quality of life Substance use Hospitalization Employment Income
ACT [55] No - - - No - -
ACT [56] Yes No Yes 1,3 - Yes 1,3 - No
ACT [25] - No No Yes 2 Yes 2 - -
ACT [57] Yes 2 No - No - - -
ACT [58] Yes 1 No Yes 1 - Yes - -
ACT [61] Yes 2 No - No - - No
ACT [62,63] Yes 2 Yes1 - No - - No
ACT [59,60] No No - No - - -
ICM [64] No No No Yes 1 - No -
ICM [65] No No - No - - -
ICM [66] - Yes 1 Yes 1 No - - -
ICM [67] Yes2 - - - - - -
ICM [68,69] Yes - - Yes 1 - No Yes 1,3
ICM [70] - No Yes 1,2 - - - -
ICM [71] No - - - - - No
ICM [72] Yes - - - No - -
ICM [73] No No - Yes1 No -
ICM [74] No No No - No No -
ICM [75] Yes 3 Yes 3 - Yes 3 - Yes 3 -
ICM [76] No - - No Yes - Yes
ICM [77] Yes 1 Yes 1 Yes 1 - - - -
ICM [78] Yes 2 No - Yes 2 - No -
ICM [79] Yes No - Yes Yes 2 - Yes
ICM [80] No Yes 1 - No - - No
CTI [81] No No No No - - -
CTI [82,83] Yes 1,3 - - - Yes 1,3 - -
CTI [84] Yes 1 No
CTI [85,86] Yes 1 Yes 1,2 - - - - -
CTI [8791] Yes 1 - - - No - No
SCM [44] Yes [diminished with time] No - Yes 1 [diminished with time] - Yes -
SCM [45,46] No - Yes 1 - No - -
SCM [47] No - - - - - -
SCM [48] No - - No - No -
SCM [49] - HARMS No No - - -
SCM [50] No - - No - No -
SCM [51] Yes - - Yes - No -
SCM [52] Yes - - - - - -
SCM [53] No Yes 1 - No - - -
SCM [54] No No - - - No -

*Assertive Community Treatment; ACT. Intensive Case Management; ICM. Critical Time Intervention; CTI. Standard Case Management; SCM.

1. Depends on sub-outcomes

2. Depends on sub-groups

3. Depends on analysis methodology

Effects of standard case management (SCM)

Of 11 trials on SCM, ten evaluated housing stability [4448,5054]. Only three reported significant decreases in homelessness [44,51,52]; an effect that diminished over time in one trial of a time-limited residential case management where participants in all groups accessed significant levels of services [44].

A SCM program tailored to women reduced the odds of depression at 3 months (OR 0.38 95% CI 0.14 to 0.99) but did not show improvements in their overall mental health status (MD 4.50; 95% CI -0.98 to 9.98) [53]. One trial reported higher levels of hostility (p<0.001) and depression symptoms (p<0.05) among female participants receiving nurse-led SCM compared to those receiving standard care, although no significant difference in psychological well-being was reported between these groups [49]. Two additional trials reported no impact on mental health outcomes [44,54]. Two trials reported decreased problematic substance use [44,79], and four others reported no effect on this outcome [4850,53].

Findings were equivocal for quality of life outcomes. One trial compared health advocate SCM (with or without outreach registration) to usual care [45,46]. While some quality of life domains (e.g. social isolation, sleep) favored health advocate SCM, most effects on quality of life were not significant. Another trial reported no significant benefits of nurse-led SCM on life satisfaction scores [49].

A single trial of health advocate SCM (with or without outreach registration) assessed health service utilization over three months [46]. Only five percent of all participants accessed the emergency department, with no significant difference between health advocacy or usual care groups [46]. Finally, five studies assessed the effectiveness of SCM on employment outcomes. One trial reported a significant improvement in employment over 24 months [44], whereas four trials showed no significant difference [48,50,51,54]. While one trial suggests that SCM improves access to income assistance (p<0.05) [51], no trials on SCM measured participant income as an outcome.

Effects of intensive case management (ICM)

Fourteen of sixteen trials on ICM assessed housing stability [64,65,67,68,7180]. Overall, ICM showed small positive effects on housing outcomes, with seven of these fourteen studies [67,68,72,75,7779] suggesting improvements in housing stability and the other seven reporting no effect (Table 4). A pooled analysis shows that ICM significantly reduced the number of days spent homeless (SMD -0.22 95% CI -0.40 to -0.03; See Fig 3) but had no significant effect on the number of days spent in stable housing compared to usual services (See Fig 4). These findings were unchanged regardless of whether random effects or fixed effects models were used in the analysis (See S7 File). For time-limited interventions, ICM effectively housed more participants [72], reduced time spent in community housing, streets and shelters [77], and reduced the number of moves to different residences [71]. Three other trials reported that ICM was associated with no difference on the number of days in no-rent or privately rented accommodations, better or worse accommodations, stable housing or homelessness compared to standard case management or usual services [74,75,78].

Fig 3. ICM versus usual care pooled analysis of number of days spent homeless (long term, 13+ months follow-up).

Fig 3

Fig 4. ICM versus usual care pooled analysis of number of days spent in stable housing (long term, 13+ months follow-up).

Fig 4

ICM had mixed effects on mental health outcomes. Four trials reported significant reductions in psychological symptoms [66,75,77,80], whereas seven additional trials reported no effect [64,65,70,73,74,78,79]. In two trials, positive mental health outcomes were correlated with improvements in quality of life [66,77], with an additional trial reporting better quality of life despite no significant differences in mental health [70]. Only one trial reported no effect of ICM on quality of life [74].

ICM had a significant benefit in reducing substance use in six of ten trials that measured this outcome [64,68,73,75,78,79]. ICM was associated with significant reductions in alcohol consumption [68,73,75] and reductions in problematic drug use [64,78,79].

ICM had mixed effects on participants’ hospitalization outcomes. Two studies reported significant reductions in the number of emergency department visits but not in the use of other hospital services compared to usual care [76,79]; while three additional trials reported no significant reductions in the number of days in hospital compared to usual services or support groups [7274].

Finally, the effect of ICM on income and employment outcomes was small. In one study, ICM was associated with increased number of days paid from employment [75], which was not found in four other trials [64,68,74,78]. Three studies reported that ICM was significantly associated with increased attainment of public income assistance and reduced the incidence of unmet financial need [79] among single adults [68,76]. However, among youth [71], and families [80], ICM had no impact on income obtained from employment or public assistance.

Effects of assertive community treatment (ACT)

Assertive community treatment showed promising effects on housing stability in five of seven trials that measured this outcome [5658,61,62]. Participants who received ACT reported significantly more days in community housing (p = 0.006) [58], and fewer days homeless (p<0.01) compared to usual or supportive services [61]. ACT marginally improved the number of days participants spent in stable housing compared to supportive services (p = 0.032) [62], and usual services (p = 0.09) [57]. However, two trials, one of which included a follow-up study, did not identify any housing-stability benefits of ACT over usual or supportive services [55,59,60].

The effects of ACT on mental health outcomes were moderately positive. In one trial, ACT interventions were associated with fewer psychological symptoms in the areas of unusual activity levels (p<0.03) and thought disorder (p<0.02) compared to other supportive services [62]. Six other trials reported no additional effects of ACT on mental health compared to usual or supportive services [25,5659,61]. ACT had equivocal effects on substance use outcomes. One trial showed that ACT participants with more severe alcohol use disorder experienced faster and earlier improvements in substance use compared to those with less severe alcohol-use disorder or those randomized to usual or supportive services (p<0.01) [25]; however, this difference was not significant by the end of three years. Four trials reported no additional benefits of ACT on substance use outcomes over usual or supportive services [57,59,61,62].

Findings on quality of life outcomes were mixed. One trial reported that ACT was significantly associated with better overall quality of life over 18 months compared to those receiving SCM (p<0.05) [56]. Another trial found no significant improvements for ACT over usual care in objective quality of life measures over 12 months, although ACT participants showed earlier improvement in life satisfaction rates compared to usual care at 6 months (p = 0.005) [58]. A third trial found no additional effects of ACT on quality of life outcomes compared to usual and supportive services [25].

Findings on hospitalization outcomes were mostly positive. One trial reported that ACT participants spent approximately half as many days in the hospital compared to those receiving standard case management [56]. No significant differences between groups were found on time to discharge from hospital or length of hospitalization. Another trial showed that ACT was associated with significantly fewer days hospitalized over 3 years compared to other supportive services (MD 19; p = 0.002) [25]. One trial reported fewer emergency department visits for ACT participants compared to usual care at 12 months (p = 0.009) [58], whereas another trial found no effect of ACT over usual care on either days in hospital or emergency department visits [55].

Finally, three trials reported no effect of ACT on income outcomes over usual or supportive services [56,61,62]. No trials measured employment outcomes.

Effects of critical time interventions (CTI)

Critical time interventions showed a promising effect on housing stability in three of four trials [82,85,87]. In the US context, one trial found that CTI significantly reduced the number of days spent homeless during the final 18 weeks of the study, compared to usual services (OR 0.22; 95% CI 0.06 to 0.88) [82]; however, this effect was not significant over the entire 18 months of the trial. Another trial reported a significant reduction in the average number of nights spent homeless among CTI participants compared to usual services over 18 months (Difference = -61; p = 0.003) [87]. Families that received CTI transitioned from shelter to housing more rapidly than the usual services group (MD -107.9 days; 95% CI -136.2,-79.6) [86]. Conversely, one European trial found that CTI did not have any impact on days rehoused after a 9-month period compared to usual services [81].

CTI showed little effect on mental health outcomes. However, a trial conducted among abused women reported significantly fewer symptoms of PTSD during follow-up (Adjusted MD -7.27, 95% CI -14.31 to -0.22, p = 0.04), but no effect on symptoms of depression or psychological distress [84]. In another RCT [85], families who received CTI showed mixed results on the frequency of children’s internalizing and externalizing problems.

Two RCTs examined quality of life outcomes and found no significant impact of CTI over usual services at 9 months [81,84]. As well, when looking at substance-use outcomes, CTI was associated with non-significant reductions in cannabis and alcohol use [81].

One study found that CTI was significantly associated with reduced odds of rehospitalization (OR 0.11, 95% CI 0.01 to 0.96, p = 0.07) and total number of nights hospitalized (p<0.05) in the final 18 weeks of the trial [83]. Another trial suggests that CTI reduced the total number of nights of hospitalization over 18 months but not the average length of hospital stays [88].

Finally, one trial showed no significant effect of CTI on income-related outcomes compared to usual services [89]. No trials reported on employment-related outcomes.

Cost and cost-effectiveness of the interventions

Evidence on cost and cost-effectiveness was mixed. The total cost incurred by SCM clients was higher than those receiving usual or standard care [50,79], but lower compared to a US clinical case management program that included housing vouchers and ICM [98]. Cost-effectiveness studies showed that when the benefits gained and costs borne to all payers were considered (also known as a societal perspective) SCM was not cost-effective compared to ACT for persons with serious mental disorders or those with a concurrent substance-use disorder as it was both more expensive [56,94], and was associated with more days in unstable housing [56], and poorer quality of life [94]. SCM was slightly more costly than ACT because SCM clients had nominally more frequent visits to outpatient health care and other community services, more arrest episodes, and incurred higher family time costs compared to ACT clients. For ICM, Stergiopoulos and colleagues showed that the cost of supporting housing with ICM could be partially offset by reductions in the use of emergency shelters and in single-room occupancies [97]. ICM was reported as likely to be cost-effective when all costs and benefits to society are considered [98]. A pre-post study found that when ICM was provided to high users of emergency departments there was a net hospital cost savings of USD$132,726 [92]. For ACT, the included studies that focused on individuals with severe mental illness or dual disorders consistently showed that ACT interventions were associated with lower costs and improved health outcomes compared to the outcomes of usual care [56,59,9496]. We identified only one study on the cost-effectiveness of CTI which reported that the CTI provided to men with severe mental illness had comparable costs (US$52,574 vs. US$51,749) despite fewer nights spent homeless (508 vs. 450 nights) compared to usual services [89].

Discussion

We conducted a comprehensive systematic review of four case management interventions for people who are homeless or vulnerably housed. The interventions were complex, and the study populations, intervention intensity, and outcomes were heterogeneous, making it challenging to generalize our findings. However, we can make some overarching statements to guide policy and practice. In general, standard case management showed little to no benefit across any of our outcome domains and in one trial [49], implementing SCM was associated with elevated levels of hostility and depression. We found that interventions of greater intensity, such as intensive case management, assertive community treatment and critical time intervention, did improve several outcomes of interest, most notably housing stability. ICM was found to reduce substance use in several studies and CTI to marginally reduce psychological symptoms; however, there was little impact on the quality of life across studies. ICM was associated with a reduced number of emergency department visits but not of hospital admissions, and both ACT and CTI, overall, showed significant reductions in both the number of emergency department visits and days in hospital. Only ICM was found to consistently improve income outcomes, with significant improvements in access to financial assistance and reductions in unmet financial needs. Case management interventions, especially ACT, were cost-effective for persons with complex needs, including those with severe mental illness or dual disorders, if the overall costs and benefits to patients, health care systems and society as a whole were considered.

Our findings suggest that the effectiveness of case management interventions is related both to the intensity of models as well as to their ability to address and advocate for the comprehensive needs of specific groups such as those with severe mental health conditions or those experiencing transitions in care. Findings suggested that the case management needed to be continuous, community-based and intensive so as to maintain and/or increase the gains achieved. For example, in Sosin and colleague’s trial [51], improvements in housing stability were attributed to the case worker’s advocacy for access to income benefits and help with locating housing. Not surprisingly, higher intensity case management models, which generally have lower caseloads, also include the provision of services above and beyond care coordination and incorporate outreach services, especially in the case of ICM, which is shown to have greater effects compared to other less intensive case-management models. This may be due to their capacity to address some of the underlying social determinants of health that contribute to the cycle of homelessness, such as poverty, which requires longitudinal engagement with case managers. A parallel review also suggests that case management can have significant impacts when provided in conjunction with permanent housing [35]. Given the heterogeneity of these complex interventions, we cannot be certain of the precise mechanisms and key features that promote effectiveness. However, it is likely that a dose-response relationship may explain some of our findings, and that as higher intensity interventions such as ACT and ICM are more precisely defined, there may be greater attention to fidelity in their implementation [19]. Alternatively, it is possible that lower intensity models work predominantly for homeless populations with less acute issues (or for those that are precariously housed), and this would suggest the importance of matching the intensity of the intervention with the acuity of need. Some indicators from a parallel qualitative review point to a case-manager-client relationship built on trust and continuity of care and integrated services as being key factors in the success of case management programs [99]. Many programs include peers and people with lived experience acting in case management roles [100103], and while this has been identified as important to those confronted with homelessness [104106], such approaches require formal evaluation.

These findings contribute to an expanding evidence base on effective interventions for people who are homeless or vulnerably housed. Our review builds on a previous review by De Vet [15] as it incorporates evidence up to 2019 and also considers a broader definition of standard case management that includes health advocates, as well as residential and disease-specific case management. Our study includes studies from the US, Europe and Australia, allowing us to make inferences about more diverse health and social systems which are important to address homelessness as an international public health priority [15]. Overall, our findings are congruent with De Vet’s conclusions, but with some important differences. Notably, we saw fewer significant results in access to housing among recipients of CTI, likely arising from differences in healthcare and social contexts. The intensity of “usual care” in the Netherlands was high compared to the US context, where follow-up services were not typically available. Additionally, the Netherlands has an extensive social housing system; thus, reducing the short-term risk of recurrent homelessness. More recent CTI studies also suggest lower rates of rehospitalization than was found in our review. Finally, our broader inclusion criteria of SCM interventions allowed us to identify potential harms, such as higher levels of hostility and depression among case management recipients. Overall, our findings are in agreement with other earlier reviews, including those of Coldwell and Bender [23], Hwang [107], Vanderplasschen [28], and Mueser [108]. We also incorporated cost-effectiveness, and while the results were mixed, they provide important evidence on the potential economic impact of case management interventions on health care systems and society.

In the studies reviewed, the quantitative synthesis was complicated by the heterogeneity that exists across interventions. In addition, there is a lack of clarity in and overlap of the nomenclature used to define different case management interventions [12]. Furthermore, few studies provided the level of intervention detail required to make concrete recommendations with respect to the types of activities conducted, the roles and responsibilities of the case managers, and the postulated mechanisms of success that could inform future practice. Such lack of detail can further contribute to challenges in implementation and fidelity across interventions.

To our knowledge, this is the first systematic review to consider a broad range of outcomes and cost-effectiveness of these types of case-management interventions. We used high quality methods to synthesize randomized controlled trials and controlled trials, conducted meta-analyses, and used GRADE methods to assess the certainty of the effects. We integrated persons with lived experience of homelessness into our research team to ensure the relevancy of this work. Limitations include heterogeneous interventions and populations that precluded quantitative synthesis; thus, the studies were too few to allow us to conduct meta-analyses for the many included outcomes. As the majority of studies were conducted in the United States, our findings may not be generalizable to contexts with substantially different health and social systems. Poorly defined control or “usual care” groups further complicates the relative effectiveness of one case management model over another—a particular issue for SCM models. A weakness inherent to a secondary analysis is the potential for bias with respect to the reporting of results for multiple outcomes. Further, we restricted our inclusion criteria to rigorous experimental study designs, thereby, excluding observational studies that may have provided additional evidence in this area. This review is quantitative in nature and we may have excluded important findings related to case management found in the qualitative literature.

In summary, helping people who are homeless and vulnerably housed navigate and access a complex system of services yields positive outcomes in areas such as housing stability and mental health. Case management interventions may be most effective when they target specific complex populations or times of transition with more effective interventions that involve low caseloads, greater intensity and continuity of contact time, and direct service provision in addition to mere coordination. More research is needed on SCM models and their ideal target populations. Further, there is a need to more formally evaluate how to best integrate case management into delivery models such as chronic care management programs [109111], and patient medical home approaches [112,113]. We postulate that further work is required to understand how to embed such interventions in the primary care setting, given the appeal of its continuous and comprehensive nature [114,115]. We suggest future research should apply a realist lens in order to further understand the critical elements and implementation strategies of case management interventions [116,117].

Supporting information

S1 File. PRISMA checklist.

(PDF)

S2 File. Search strategy.

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S3 File. List of excluded studies.

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S4 File. Characteristics of included studies.

(PDF)

S5 File. Risk of bias summary.

(PDF)

S6 File. GRADE evidence profiles.

(PDF)

S7 File. Fixed and random effects analyses.

(PDF)

Acknowledgments

The authors would like to acknowledge Doug Salzwedel for the systematic search, as well as the following working group members for technical support in screening, data extraction and/or critical appraisal: Tasnim Abdalla, Michaela Beder, German Chique-Alfonzo, Wahab Daghmach, Priya Gaba, Akalewold Gebremeskel, Samantha Green, Gilbert Habonimana, Nicole Kozloff, Victoire Kpade, Pierre Lauzon, Andrew Mclellan, Van Nguyen, Anita Palepu, Nicole Pinto, Asia Rehman, Kim Van Herk, Jean Wang, Mackenzie Wilson, Vanessa Ymele Leki. Finally, the authors would like to thank Glenna Jenkins for her editorial input.

Data Availability

All relevant data are within the paper and its Supporting Information files.

Funding Statement

This systematic review was funded by Inner City Health Associates, Toronto, Canada to KP. The funders of the study had no role in the study design, data collection, data analysis, data interpretation, or the writing of the report. The corresponding author had full access to all of the data in the study and had final responsibility for the decision to submit for publication.

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Decision Letter 0

Stefano Federici

Transfer Alert

This paper was transferred from another journal. As a result, its full editorial history (including decision letters, peer reviews and author responses) may not be present.

28 Nov 2019

PONE-D-19-19380

The Effectiveness of Case-Management Interventions for the Homeless, Vulnerably Housed and Persons with Lived Experience: A Systematic Review and Meta-Analysis

PLOS ONE

Dear Dr. Pottie,

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The manuscript was reviewed by three reviewers. Although all Reviewers appreciated the importance of the subject and the good style of writing, they do raise the relevant methodological shortcomings of the manuscript that need to be thoroughly reviewed. In particular, Reviewers raise doubts about the correctness of the statistical analyses with reference to the meta-analysis. The Reviewers note that Discussions also need to be reviewed. Therefore, I suggest that the Authors proceed to address all the Reviewers’ comments to make the manuscript suitable for publication.

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Reviewers' comments:

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Reviewer #3: Partly

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Reviewer #3: No

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Reviewer #3: Yes

**********

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Reviewer #1: This is a review article on case management interventions for persons who are homeless or otherwise unstably housed, focused on ACT, ICM, and CTI. The effects of these interventions on health and social outcomes are discussed, as well as the quality of the evidence surrounding each intervention. These interventions are critical for improving care for a very vulnerable population and a systematic evaluation of the evidence surrounding these practices is valuable. The article is well-written. Some specific comments are offered below.

Abstract

• The conclusions of the abstract reflect the need to balance fidelity to an intervention’s components (used to achieve outcomes shown in research settings) and adaptation to meet the real-world context of under-resourced settings. To that end, might be good to add a sentence to the background of the abstract highlighting the clinical relevance of this review, i.e., what is the utility of studying these case management approaches with regards to real world care.

• There seems to be a comparison between mainstream case management and three more intensive CM models, but mainstream CM is not mentioned in the abstract

Introduction

• The first sentence references structural challenges (of which there are many) - however, the second sentence describes individual level factors that are barriers to care, as opposed to structural challenges.

• Table 1

o SCM - is this limited to persons engaging in primary care? I think that routine case management happens for many homeless individuals who receive social services but who do not receive health care services in primary care settings. A concern for throughout the manuscript is that SCM is very challenging to define and very diverse across settings and studies.

o CTI - generally this model is not just with any transition, but the transition between an institutional setting to community living

• Interested to hear more about how the Delphi consensus panel helped prioritize interventions of interest - were SCM, ICM, CTI, ACT selected because of this panel? A few sentences about this in the methods as opposed to the intro might be helpful.

Results

• The Hurlbu study (SCM) is a HUD-VASH study, which is a PSH program (I thought these were excluded to be part of a separate review)

• Clark et al (2003) - the comprehensive housing program sounds very much like PSH

• The findings on ACT - findings on hospitalization were mostly positive, which I think is consistent with the literature. How does this work juxtaposed with the assertion that benefits of ACT on mental health outcomes were minimal - hospitalization is generally a proxy for mental health outcomes.

• Cost effectiveness: how could total cost incurred by SCM clients be greater than total cost for ACT clients?

Discussion

• Appreciate the recognition at the top of the discussion that the interventions, populations, and outcomes were heterogeneous, which makes it hard to analyze the data - it would be good to have this sort of statement up front at the end of the introduction statement

• A fundamental question is if SCM is good for a different subgroup of homeless people than the more intensive interventions studied. Or, is SCM just too low intensity for homeless people, but acceptable for a less vulnerable population? The article basically says that more intensive case management is needed for everyone in this population - I’m not sure that is true, as there has got to be some match between clinical acuity and the acuity of the CM intervention needed; SCM is also such a broad and vague term encompassing many different things in studies and in real-world settings

• There is a statement in the discussion that persons with lived experience were integrated on the research team - not clear how this took place or in what capacity they were involved in these analyses

Reviewer #2: Thank you for the opportunity to review this interesting manuscript. Since I am not an expert in the topic, my comments will focus on the systematic review and meta-analysis methodology and reporting.

Major Concern:

The results of this systematic review and meta-analysis should focus more on the meta-analytic findings. Nearly all of the results presented resort to counting p-values or describing the findings from specific studies. The beauty of meta-analysis is to move beyond p-counting so that you can show the overall effect of a type of intervention. Of the 56 studies in this review, I’m only seeing 3 studies meta-analyzed, for only two outcomes. No rationale is provided for why a meta-analysis was not performed on any other outcomes.

Even the narrative review results are rudimentary, with very little synthesis reported.

Additional comments:

1. The protocol has not been published, so reviewers only have the limited methods section to use to evaluate the review methods. While the methods appear to be rigorous, more detail would be helpful, particularly in the data analysis section. Also, the author guidelines for PLOS One state that systematic reviews without published protocols should include the protocol in the supplementary material.

2. Was the protocol registered with a systematic review registry, such as PROSPERO? I did not see a PROSPERO registration number mentioned. PLOS One submission guidelines require the protocol registry number to be included in the abstract.

3. Please address in the methods how you managed studies that had multiple interventions using the same control group in your meta-analyses.

4. The PRISMA flow diagram should include a summary of the reasons for exclusion for the 214 studies excluded at the full-text review stage in the original search. Don’t just make readers go to the supplementary files and then expect the reader to count the reasons themselves. While I admire the level of detail you’re including in your tables and supplementary files, the whole point of a review is to summarize and synthesize for readers.

5. Table 9 needs a legend that defines the abbreviations for the intervention types.

6. On p. 35, line 189, the word “trivial” may not be the best word choice, as it can imply a value judgement. Perhaps something like “equivocal” would be better?

7. Are Figures 1 and 2 data from just one study? This is not clear from the figures alone, as there is no study cited, and forest plots typically imply meta-analytic results across studies.

8. The figures on page 36 are not labeled.

Reviewer #3: Overall, this is a well-written analysis of case management interventions of homeless or vulnerably-housed individuals. This is not my field of study, so I cannot comment on the relevance of this review to this field or the quality of the qualitative analysis portion, other than to say that it was thorough. However, I have some concerns regarding the meta-analysis. It seems improper to use a random-effects meta-analysis in a meta-analysis including only 2 or 3 studies. My suspicion is that, in practice, your conclusion that ICM reduces number of days homeless will be robust to either approach: fixed effects vs. random effects, but it would be encouraging to know that the random effects approach has not under-estimated the confidence intervals on the pooled effect. I would recommend repeating the analyses from the figures on page 36 using a fixed effects approach (basically an inverse-variance weighted average of the studies) and indicate whether the results were similar or not to the random effects results.

Minor comments:

Tables 4-8 should go into a supplemental material file. This is a thorough summary of all of these studies and way too much information for the text of the manuscript.

Figures 1 and 2: Are these from a single study? If so, I don't understand why it's necessary to present these findings that have been presented elsewhere. I would recommend dropping these figures and succinctly summarizing the results in the text.

**********

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Reviewer #1: Yes: Sonya Gabrielian

Reviewer #2: No

Reviewer #3: No

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PLoS One. 2020 Apr 9;15(4):e0230896. doi: 10.1371/journal.pone.0230896.r002

Author response to Decision Letter 0


30 Dec 2019

Kevin Pottie, MD CCFP MCISc FCFP

85 Primrose Ave, room 307, Ottawa, ON

kpottie@uottawa.ca

Re: The Effectiveness of Case-Management Interventions for the Homeless, Vulnerably Housed and Persons with Lived Experience: A Systematic Review and Meta-Analysis (reference number PONE-D-19-19380)

Response to editors and peer-reviewers

________________________________________

Editorial comments

Please ensure that your manuscript meets PLOS ONE's style requirements, including those for file naming

Response: Thank you. We have reviewed PLOS ONE’s style requirements and have edited our manuscript as necessary.

Please upload a copy of Figures 3 &4, to which you refer in your text on page 36. If the figure is no longer to be included as part of the submission please remove all reference to it within the text.

Response: Figures 3 and 4 are the forest plots representing our pooled meta-analyses. We have uploaded them separately as per your request.

Peer reviewers’ comments

Reviewer #1

This is a review article on case management interventions for persons who are homeless or otherwise unstably housed, focused on ACT, ICM, and CTI. The effects of these interventions on health and social outcomes are discussed, as well as the quality of the evidence surrounding each intervention. These interventions are critical for improving care for a very vulnerable population and a systematic evaluation of the evidence surrounding these practices is valuable. The article is well-written. Some specific comments are offered below.

Response: Thank you for taking the time to review our manuscript and highlight the importance of such a comprehensive review of the literature on the effectiveness and cost effectiveness of case management interventions among homeless and vulnerably housed populations. We have addressed your comments and feedback. Kindly see our responses below.

Abstract

• The conclusions of the abstract reflect the need to balance fidelity to an intervention’s components (used to achieve outcomes shown in research settings) and adaptation to meet the real-world context of under-resourced settings. To that end, might be good to add a sentence to the background of the abstract highlighting the clinical relevance of this review, i.e., what is the utility of studying these case management approaches with regards to real world care.

Response: Thank you for this comment. The definitions of case management models in the very heterogeneous literature makes this addition very relevant. This also links to your comment below about SCM which we address further. In fact, our conclusions reflect the need to better understand the link between intensity and effect, especially in complex and variable primary care settings.

• There seems to be a comparison between mainstream case management and three more intensive CM models, but mainstream CM is not mentioned in the abstract

Response: Thank you for highlighting this discrepancy. We have added to our abstract findings of mainstream case management

Introduction

• The first sentence references structural challenges (of which there are many) - however, the second sentence describes individual level factors that are barriers to care, as opposed to structural challenges.

Response: Thank you, we have amended these sentences to improve clarity.

• Table 1

o SCM - is this limited to persons engaging in primary care? I think that routine case management happens for many homeless individuals who receive social services but who do not receive health care services in primary care settings. A concern for throughout the manuscript is that SCM is very challenging to define and very diverse across settings and studies.

Response: Thank you for this comment. We agree that SCM is very heterogeneous. We have added additional remarks to that effect on our introduction. SCM is also not limited to persons engaging in primary care, although it is common. We have revised Table 1 to reflect that SCM may be delivered to persons with complex care needs.

o CTI - generally this model is not just with any transition, but the transition between an institutional setting to community living

Response: We sought evidence on critical time interventions that aimed to help individuals transition from a state of precarious housing and into more stable accommodation. As a result of our search, we found evidence on three CTI trials that assist individuals transition from shelters to more stable housing as well as one trial devising a transition plan after discharge from the hospital. Thank you for you comment. We will make this more clear in Table 1 and the results section.

• Interested to hear more about how the Delphi consensus panel helped prioritize interventions of interest - were SCM, ICM, CTI, ACT selected because of this panel? A few sentences about this in the methods as opposed to the intro might be helpful.

Response: Thank you for this comment. We have provided additional details in the methods (see section “Selection of priority interventions”) regarding the Delphi process and the rationale for choosing these models of case management.

Results

• The Hurlbut study (SCM) is a HUD-VASH study, which is a PSH program (I thought these were excluded to be part of a separate review)

Response: Thank you. Even though the Hurlburt study is part of the HUD-VASH project. The findings of the two publications reported on the added benefits of providing case management to participants regardless of their housing arrangements. We sought evidence on every study that reported on the benefits (or harms, if found) of case management interventions, and thus we have included these publications for that purpose.

• Clark et al (2003) - the comprehensive housing program sounds very much like PSH

Response: You are correct. The comprehensive housing program is very much a replication of PSH. However, participants allocated to the other arm of this trial are provided with case management services only. We included this study in our analysis to assess whether case management only was superior or equivalent to PSH in improving our outcomes of interest.

• The findings on ACT - findings on hospitalization were mostly positive, which I think is consistent with the literature. How does this work juxtaposed with the assertion that benefits of ACT on mental health outcomes were minimal - hospitalization is generally a proxy for mental health outcomes.

Response: We agree and have rephrase the sentence to reflect the reasonably positive effects of ACT interventions in reducing in psychiatric symptoms across studies.

• Cost effectiveness: how could total cost incurred by SCM clients be greater than total cost for ACT clients?

Response: Thank you for your comments. The total cost of SCM was higher than ACT in the case when the studies included all cost components incurred to society (termed the ‘societal perspective’). Specifically, the slightly higher cost of SCM was due to the fact that SCM clients had nominally more frequent visits to outpatient health care and other community services, more arrest episodes, and incurred higher family time costs compared to ACT clients. We have clarified this point in the cost and cost-effectiveness section.

Discussion

• Appreciate the recognition at the top of the discussion that the interventions, populations, and outcomes were heterogeneous, which makes it hard to analyze the data - it would be good to have this sort of statement up front at the end of the introduction statement

Response: We agree, and have provided two sentences at the end of the introduction to highlight the heterogeneity of the interventions at hand.

• A fundamental question is if SCM is good for a different subgroup of homeless people than the more intensive interventions studied. Or, is SCM just too low intensity for homeless people, but acceptable for a less vulnerable population? The article basically says that more intensive case management is needed for everyone in this population - I’m not sure that is true, as there has got to be some match between clinical acuity and the acuity of the CM intervention needed; SCM is also such a broad and vague term encompassing many different things in studies and in real-world settings

Response: Thank you very much for these thoughtful questions. We agree that the definition of SCM is challenging and thus decided to take a broad approach. We attempted to distinguish the differences in CM in Table 1. However, comparing SCM to more intensive models was not the focus of the review, and indeed such a comparison would likely be based on comparable populations - per Table 1, the more intensive approaches in fact aimed at specific subsets of homeless popullations. Because of all these factors, not to mention that issues of fidelity that you raise, we tempered the strength of our conclusions.

• There is a statement in the discussion that persons with lived experience were integrated on the research team - not clear how this took place or in what capacity they were involved in these analyses

Response: Thank you for highlighting the shortage in describing the role of our people with lived experience of homelessness in this project. We have provided more information regarding this issue in the methods section.

Reviewer #2: Thank you for the opportunity to review this interesting manuscript. Since I am not an expert in the topic, my comments will focus on the systematic review and meta-analysis methodology and reporting.

Response: Thank you for reviewing our work and providing feedback on our methods. An important strength of our review is the rigorous methodology we have used in screening, data collection and management, data analysis, and reporting processes. We have addressed all your comments. Kindly find our responses below.

Major Concern:

The results of this systematic review and meta-analysis should focus more on the meta-analytic findings. Nearly all of the results presented resort to counting p-values or describing the findings from specific studies. The beauty of meta-analysis is to move beyond p-counting so that you can show the overall effect of a type of intervention. Of the 56 studies in this review, I’m only seeing 3 studies meta-analyzed, for only two outcomes. No rationale is provided for why a meta-analysis was not performed on any other outcomes.

Response: Thanks, meta-analysis is one of the most robust statistical methods to synthesize outcome data to provide a quantitative estimate and we used this method whenever outcome data permitted. We attempted to meta-analyze all outcomes, but heterogeneity in interventions, outcomes and time-points precluded this for the majority of outcomes. We have clarified this in the methods section.

Even the narrative review results are rudimentary, with very little synthesis reported.

Response: Thank you. It appears we did not clearly describe our synthesis. Given that the majority of our synthesis is narrative, we have referred to the SWiM (Synthesis Without Meta-Analysis) reporting guidelines (previously named “Improving the Conduct and reporting of Narrative Synthesis of Quantitative data (ICONS-Quant)”), which is presently under consideration for publication (must be kept confidential). The ICONS-Quant items are intended to complement PRISMA. ICONS-Quant relates to the methods and reporting of narrative synthesis, while PRISMA relates to the entire systematic review process. We have modified our paper to reflect these reporting items.

Additional comments:

1. The protocol has not been published, so reviewers only have the limited methods section to use to evaluate the review methods. While the methods appear to be rigorous, more detail would be helpful, particularly in the data analysis section. Also, the author guidelines for PLOS One state that systematic reviews without published protocols should include the protocol in the supplementary material.

Response: Thank you for this comment. Our protocol was published during the peer-review period. We have updated our reference list and provide a DOI to the open-access publication for reviewers to consider. Please see: https://doi.org/10.1002/cl2.1048

2. Was the protocol registered with a systematic review registry, such as PROSPERO? I did not see a PROSPERO registration number mentioned. PLOS One submission guidelines require the protocol registry number to be included in the abstract.

Response: Thank you for this question. We registered our title (2018) and protocol (2019) with the Campbell Collaboration, which is considered a systematic review registry. We have made this more explicit in our manuscript under “Methods”. We have updated our reference list and provide a DOI to the open-access publication for reviewers to consider.

3. Please address in the methods how you managed studies that had multiple interventions using the same control group in your meta-analyses.

Response: Thank you for this comment. We have added the following to our methods section to clarify this point: To prevent double-counting of outcomes, individual records were carefully screened to identify unique trial studies. Each study was then evaluated for potential overlap using study design, enrollment and data collection dates, authors and their associated affiliations and the reported selection and eligibility criteria in the studies to inform the assessment. Studies deemed to be at risk for double-counting were discussed by the research team and decisions for inclusion in meta-analysis (and any additional analyses) were made.

4. The PRISMA flow diagram should include a summary of the reasons for exclusion for the 214 studies excluded at the full-text review stage in the original search. Don’t just make readers go to the supplementary files and then expect the reader to count the reasons themselves. While I admire the level of detail you’re including in your tables and supplementary files, the whole point of a review is to summarize and synthesize for readers.

Response: Thank you for this comment. We have updates this figure with the following information:

Excluded studies n=214

Reasons:

Wrong study design n=51

Irrelevant outcomes n=8

Wrong population n=25

Wrong intervention n=117

Wrong publication type n=117 10

Could not be retrieved n=3

5. Table 9 needs a legend that defines the abbreviations for the intervention types.

Response: Thank you, we have added a legend to this table which defines the abbreviations.

6. On p. 35, line 189, the word “trivial” may not be the best word choice, as it can imply a value judgement. Perhaps something like “equivocal” would be better?

Response: Thank you for this suggestion, we have made the appropriate changes.

7. Are Figures 1 and 2 data from just one study? This is not clear from the figures alone, as there is no study cited, and forest plots typically imply meta-analytic results across studies.

Response: Thank you, these figures have been removed.

8. The figures on page 36 are not labeled.

Response: Thank you, we have received feedback against using these forest plots in our results section as they come from the same study, and therefore, we have decided to replace them with a descriptive synthesis of evidence from these studies.

Reviewer #3: Overall, this is a well-written analysis of case management interventions of homeless or vulnerably-housed individuals. This is not my field of study, so I cannot comment on the relevance of this review to this field or the quality of the qualitative analysis portion, other than to say that it was thorough. However, I have some concerns regarding the meta-analysis. It seems improper to use a random-effects meta-analysis in a meta-analysis including only 2 or 3 studies. My suspicion is that, in practice, your conclusion that ICM reduces number of days homeless will be robust to either approach: fixed effects vs. random effects, but it would be encouraging to know that the random effects approach has not under-estimated the confidence intervals on the pooled effect. I would recommend repeating the analyses from the figures on page 36 using a fixed effects approach (basically an inverse-variance weighted average of the studies) and indicate whether the results were similar or not to the random effects results.

Response: Thank you for this comment. As per your suggestion, we have rerun the analysis using both a fixed effects model and found that our conclusions were unchanged:

FIXED EFFECT MODEL:

RANDOM EFFECT MODEL:

However, we stand behind our original decision to publish the meta-analysis using a random effects model due to its consideration of heterogeneity. Under any interpretation, a fixed-effect meta-analysis ignores heterogeneity. In the meta-analyzed studies of our review, we have conceptual heterogeneity in populations (e.g. youth [Grace 2014] vs. mentally ill adults with children [Toro 1997] vs. chronic inebriated adults [Cox 1998]) and interventions ( time-limited ICM [Grace 2014] vs. ICM with job training [Toro 1997] vs long-term ICM [Cox 1998]). Given this conceptual heterogeneity, we could not assume that the true effect of intervention (in both magnitude and direction) is the same value in every study (i.e. fixed across studies). Instead of assuming that the intervention effects are the same, we assume that they follow (usually) a normal distribution. The assumption implies that the observed differences among study results are due to a combination of the play of chance and some genuine variation in the intervention effects.

Minor comments:

Tables 4-8 should go into a supplemental material file. This is a thorough summary of all of these studies and way too much information for the text of the manuscript.

Response: Thank you for this suggestion, we have moved these tables to supplemental material (S4).

Figures 1 and 2: Are these from a single study? If so, I don't understand why it's necessary to present these findings that have been presented elsewhere. I would recommend dropping these figures and succinctly summarizing the results in the text.

Response: Thank you for this suggestion, we have removed these figures.

Attachment

Submitted filename: Revision 1 - Ponka et al. - Response to reviewers Nov 2019.docx

Decision Letter 1

Stefano Federici

28 Jan 2020

PONE-D-19-19380R1

The Effectiveness of Case-Management Interventions for the Homeless, Vulnerably Housed and Persons with Lived Experience: A Systematic Review and Meta-Analysis

PLOS ONE

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In this second round of review, I invite the author to take more careful consideration of the valuable notes of the Reviewers, following their suggestions and responding more fully to the objections raised.

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Reviewers' comments:

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Comments to the Author

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Reviewer #1: All comments have been addressed

Reviewer #2: (No Response)

Reviewer #3: (No Response)

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Reviewer #2: Yes

Reviewer #3: Yes

**********

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Reviewer #2: Yes

Reviewer #3: Yes

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Reviewer #1: Yes

Reviewer #2: Yes

Reviewer #3: Yes

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6. Review Comments to the Author

Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters)

Reviewer #1: The authors sufficiently addressed the concerns I mentioned in the first round of reviews. The only thing missing from the discussion section at this point from my perspective is a more nuanced reflection that homeless people have different levels of acuity and thus have different levels of need for case management intensity. That is, ACT isn't for everyone, ICM isn't for everyone, these are case management models needed for certain people with certain functional limitations and there should be some effort to match needs to services.

Reviewer #2: I’d like to thank the authors for their response to the reviewer comments. I understand how challenging it is to do a project of this scope.

The authors’ response to the critique about registering the systematic review is somewhat misleading. Publishing a review protocol is not the same as registering the protocol. Submitting the title to the Campbell Collaboration is not the same as listing the planned review in a publicly accessible registry prior to conducting the review. Further, the authors’ wording on p. 5 (lines 86-87) may mislead readers to think that this review was done under the auspices or sponsorship of the Campbell Collaboration (“…published by the Campbell Collaboration”), but my reading of the review protocol is that this was not the case. It might be simpler and more accurate to state that the review protocol was not registered, but was published in 2019 (and then cite the protocol paper).

I still think that the authors’ narrative synthesis of results is rather rudimentary, but I understand that it can be difficult to write a narrative synthesis without falling into the trap of describing things study-by-study.

I’d like to put in a note of support for the authors’ response to the first comment from Reviewer 3. I agree with the authors that a random effects model is the appropriate approach for meta-analyzing these types of studies, for the very reasons they give in their rationale.

Ultimately, however, this manuscript is kind of a bait-and-switch. The title tempts a reader with a meta-analysis, but then out of the 56 studies included, only 3 studies were used for two (related) outcomes for only one of the types of case management. I have a genuine concern that the narrative review findings from this manuscript will be cited as though they are based on a meta-analysis when in fact they aren’t. While I don’t want to take away from the authors the work they did on the small meta-analysis in this paper, I also think that it might be more honest to remove “and Meta-analysis” from the title, since the overwhelming majority of this review’s findings are not based on meta-analysis.

Reviewer #3: Regarding the fixed effects vs. random effects issue, the problem isn't that you don't have heterogeneity. The problem is that it's hard to quantify the heterogeneity with only 2-3 studies. The fact that the fixed effects analysis has qualitatively similar results should be briefly mentioned in the text and the results should be added to supplemental information.

**********

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PLoS One. 2020 Apr 9;15(4):e0230896. doi: 10.1371/journal.pone.0230896.r004

Author response to Decision Letter 1


18 Feb 2020

Ponka et al. Case Management Review (Revision 2) Response to Reviewers Feb 2020

Reviewer #1: The authors sufficiently addressed the concerns I mentioned in the first round of reviews. The only thing missing from the discussion section at this point from my perspective is a more nuanced reflection that homeless people have different levels of acuity and thus have different levels of need for case management intensity. That is, ACT isn't for everyone, ICM isn't for everyone, these are case management models needed for certain people with certain functional limitations and there should be some effort to match needs to services.

Response: Thank you for reviewing our manuscript and for your helpful feedback. We agree that not all models of case management are appropriate for every individual, and that the services provided should be matched to client needs. We have edited our discussion section and have included the following: “However, it is likely that a dose-response relationship may explain some of our findings, and that as higher intensity interventions such as ACT and ICM are more precisely defined, there may be greater attention to fidelity in their implementation (19). Alternatively, it is possible that lower intensity models work predominantly for homeless populations with less acute issues (or for those that are precariously housed), and this would suggest the importance of matching the intensity of the intervention with the acuity of need.”

Reviewer #2: I’d like to thank the authors for their response to the reviewer comments. I understand how challenging it is to do a project of this scope.

Response: Thank you for your support.

The authors’ response to the critique about registering the systematic review is somewhat misleading. Publishing a review protocol is not the same as registering the protocol. Submitting the title to the Campbell Collaboration is not the same as listing the planned review in a publicly accessible registry prior to conducting the review. Further, the authors’ wording on p. 5 (lines 86-87) may mislead readers to think that this review was done under the auspices or sponsorship of the Campbell Collaboration (“…published by the Campbell Collaboration”), but my reading of the review protocol is that this was not the case. It might be simpler and more accurate to state that the review protocol was not registered, but was published in 2019 (and then cite the protocol paper).

Response: Thank you for this feedback. You are correct; the protocol for this review was not registered in a publicly available registry and we agree that the original reporting of this in our manuscript may be misleading. We have edited this paragraph of the methods section to be explicit about this and provide an explicit statement for our reader: “We conducted a systematic review according to a published peer-reviewed protocol (29). The protocol was not registered in an open-access registry (e.g. PROSPERO) prior to publication”. Thank you for bringing this to our attention, this is an important lesson learned for the future.

I still think that the authors’ narrative synthesis of results is rather rudimentary, but I understand that it can be difficult to write a narrative synthesis without falling into the trap of describing things study-by-study.

Response: Thank you for this comment. Despite frequent use and longstanding concerns about the validity of narrative synthesis, there has been almost no methodological development to promote clearer methods for narrative synthesis, despite its use in nearly half of health related systematic reviews. We have attempted to tabulate meaningful results (Table 4), a data presentation method suggested by the SWiM reporting guidelines, but we do recognize the limited richness of this synthesis. We appreciate your understanding.

I’d like to put in a note of support for the authors’ response to the first comment from Reviewer 3. I agree with the authors that a random effects model is the appropriate approach for meta-analyzing these types of studies, for the very reasons they give in their rationale.

Response: Thank you very much for this support. We have worked hard to achieve methodological rigor in our review and are confident in this decision.

Ultimately, however, this manuscript is kind of a bait-and-switch. The title tempts a reader with a meta-analysis, but then out of the 56 studies included, only 3 studies were used for two (related) outcomes for only one of the types of case management. I have a genuine concern that the narrative review findings from this manuscript will be cited as though they are based on a meta-analysis when in fact they aren’t. While I don’t want to take away from the authors the work they did on the small meta-analysis in this paper, I also think that it might be more honest to remove “and Meta-analysis” from the title, since the overwhelming majority of this review’s findings are not based on meta-analysis.

Response: This is an excellent point. We agree and have removed “and meta-analysis” from our title.

Reviewer #3: Regarding the fixed effects vs. random effects issue, the problem isn't that you don't have heterogeneity. The problem is that it's hard to quantify the heterogeneity with only 2-3 studies. The fact that the fixed effects analysis has qualitatively similar results should be briefly mentioned in the text and the results should be added to supplemental information.

Response: Thank you, this is a good idea. We have added a sentence to our methods section stating that we ran these parallel analyses, and have written in the results section that findings were unchanged (i.e. not dependent on fixed vs. random effects models). We have included these results in Appendix S7. We appreciate your constructive feedback.

Attachment

Submitted filename: Revision 2 - Ponka et al. - Response to Reviewers.docx

Decision Letter 2

Stefano Federici

12 Mar 2020

The Effectiveness of Case-Management Interventions for the Homeless, Vulnerably Housed and Persons with Lived Experience: A Systematic Review

PONE-D-19-19380R2

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PLOS ONE

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Reviewers' comments:

Reviewer's Responses to Questions

Comments to the Author

1. If the authors have adequately addressed your comments raised in a previous round of review and you feel that this manuscript is now acceptable for publication, you may indicate that here to bypass the “Comments to the Author” section, enter your conflict of interest statement in the “Confidential to Editor” section, and submit your "Accept" recommendation.

Reviewer #1: All comments have been addressed

Reviewer #2: All comments have been addressed

Reviewer #3: All comments have been addressed

**********

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Reviewer #2: Yes

Reviewer #3: (No Response)

**********

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Reviewer #2: Yes

Reviewer #3: (No Response)

**********

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Reviewer #1: Yes

Reviewer #2: Yes

Reviewer #3: (No Response)

**********

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Reviewer #2: Yes

Reviewer #3: (No Response)

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Acceptance letter

Stefano Federici

27 Mar 2020

PONE-D-19-19380R2

The Effectiveness of Case Management Interventions for the Homeless, Vulnerably Housed and Persons with Lived Experience: A Systematic Review.

Dear Dr. Pottie:

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Associated Data

    This section collects any data citations, data availability statements, or supplementary materials included in this article.

    Supplementary Materials

    S1 File. PRISMA checklist.

    (PDF)

    S2 File. Search strategy.

    (PDF)

    S3 File. List of excluded studies.

    (PDF)

    S4 File. Characteristics of included studies.

    (PDF)

    S5 File. Risk of bias summary.

    (PDF)

    S6 File. GRADE evidence profiles.

    (PDF)

    S7 File. Fixed and random effects analyses.

    (PDF)

    Attachment

    Submitted filename: Revision 1 - Ponka et al. - Response to reviewers Nov 2019.docx

    Attachment

    Submitted filename: Revision 2 - Ponka et al. - Response to Reviewers.docx

    Data Availability Statement

    All relevant data are within the paper and its Supporting Information files.


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