Screening for substance use and mental health problems in a cross-sectoral sample of Canadian youth
© The Author(s) 2017
Received: 19 October 2016
Accepted: 22 February 2017
Published: 28 February 2017
This project examines the substance use and mental health concerns of a cross-sectoral, national, service-seeking sample of adolescents and emerging adults using an extended version of the Global Appraisal of Individual Needs-Short Screener (GSS). It also aims to provide incremental evidence of the psychometric properties of the GSS.
A sample of 2313 youth aged 12–24 years who presented for service participated in the project. Youth were recruited from 89 participating services across Canada representing eight major clinical and non-clinical sectors. Participants completed the GSS and provided sociodemographic data.
The majority of youth presenting for services endorsed concerns on the GSS and would be likely to meet diagnostic criteria for a disorder in a full diagnostic assessment according to the norms for the scale, while many endorsed multiple concerns. This was true in both clinical and non-clinical settings. Externalizing concerns and suicidality were significantly more common in younger participants, while substance use was significantly more common in older youth. Females were more likely to endorse internalizing and suicidality concerns, while males endorsed more substance use and crime/violence concerns. Internalizing and suicidality concerns were also more common in Canada’s northerly regions. The reliability of the GSS was confirmed, however the factor structure revealed problems.
Youth presenting across clinical and non-clinical service sectors endorse high levels of need, supporting the importance of universal, cross-sectoral screening. The GSS is a practical tool that service providers across sectors can employ to identify the addiction and mental health service needs of youth, although further psychometric work is warranted. Implications for screening and treatment in community contexts are discussed.
KeywordsYouth Cross-sectoral Mental health Screening Substance use
The majority of mental health disorders (70%) begin in childhood or adolescence . In Canada, an estimated one in five young people are experiencing at least one significant substance use or mental health issue, and suicide is the second leading cause of death among youth [2–4]. Concurrent disorders (CDs; i.e., the co-occurrence of mental health and substance use disorders) are particularly concerning, since CDs are associated with greater severity of disorder, poorer prognosis, increased treatment challenges and greater unmet need for treatment compared to mental health or substance use disorders alone [5–8].
Most children and youth with a mental health disorder, including substance use disorders, do not receive mental health treatment, despite the poor outcomes and high costs associated with untreated mental health problems in childhood and adolescence [4, 9, 10]. One factor contributing to low rates of treatment is the inadequacy of current systems to identify and connect children and youth with mental health issues to appropriate services .
Evidence suggests that universal screening for substance use and mental health disorders should be a routine part of client care in adults [12–16]. However, effective and efficient screening and intervention processes, especially for youth, are only beginning to emerge. At the same time, concerns about unidentified and untreated youth substance use and/or mental health issues have been highlighted across sectors, including child welfare, justice, mental health, addictions, education, health, housing and other social services [17–21]. Accordingly, there is a strong rationale for effective, consistent mental health and substance use screening across youth service delivery settings .
Several screening tools are available to identify clinical needs rapidly in community settings. Some of the most popular  are the Global Appraisal of Individual Needs-Short Screener [GSS; 22], the Strengths and Difficulties Questionnaire [SDQ; 23], and the Youth Self-Report [YSR; 24] with its parent version Child Behavior Checklist [CBCL; 24]. The SDQ consists of 25 items and screens for internalizing concerns, behavioral and attention concerns, and social strengths and concerns, but not for substance use disorders. The YSR is a longer scale, consisting of 112 items that assess various categories of internalizing and externalizing disorders and thought problems; however, it also does not assess substance use. In contrast, the GSS is appreciated for its very brief format (20 items, 5–7 min to complete) and its design to screen for both substance use and mental health concerns in a single scale. It is validated for use with individuals aged 10 years and older to quickly identify those who may be experiencing various forms of psychosocial difficulties, including substance use problems, and would benefit from a full assessment and treatment planning. These characteristics make it ideal for use in a wide variety of settings, such as outreach and primary care.
The authors (JH, GC) employed the GSS in a Canada-wide collaborative community-based implementation project, the “National Youth Screening Project,” designed to enhance service provider capacity to identify mental health and/or substance use problems in youth aged 12–24 years across clinical (e.g., mental health/addictions) and non-clinical (e.g., education, housing, outreach) sectors [25, 26]. In addition to implementing the use of the screener, the project provided the opportunity to establish a GSS profile of the youth presenting at these sites, while also updating validation data for the GSS and addressing the absence of Canadian youth validation data. It is hypothesized that the GSS will identify high levels of needs among youth and emerging adults across sectors and demonstrate strong psychometric characteristics.
This project has two key objectives: (1) to present profile data for the GSS in a large, national sample of adolescents and emerging adults seeking services in clinical and non-clinical health and social service sectors; (2) to provide incremental evidence of the psychometric properties of the GSS.
The National Youth Screening Project (NYSP) includes a sample of N = 2390 youth aged 12–24 years who presented for service at a participating youth agency within the 6-month project timeframe and participated in the study. Of them, 77 were missing substantial data and were excluded from the analyses, for a final study sample size of N = 2313. Youth (and parents/guardians where required) provided consent to share an anonymized copy of these materials used as part of the agency’s services with the NYSP research team. There were 89 participating services representing eight major sectors (child welfare, education, family and social services, health, housing and outreach, justice, mental health, and substance use) across 14 network sites.1 All participating services within a network site agreed upon a common 6-month data collection period. Across sites, data collection periods occurred between April 2011 and December 2013. All youth aged 12–24 presenting for service within the data collection period were considered eligible for participation, except those with acute crisis or significant cognitive impairment as determined by the clinician on site, or who had previously completed the GSS within the study timeframe (see ref. 27 for more details).
Network sites self-selected for participation or were selected by provincial/territorial governments and had to include services from at least three sectors. They were geographically disbursed; included urban, rural and remote settings; and ranged in size from entire provinces or territories (e.g., Prince Edwards Island) to small communities (e.g., Thompson, Manitoba). Networks and project leads met to determine capacity building, research and clinical processes (see ref.  for more details).
Service providers were trained using a standardized curriculum to obtain voluntary and informed research consent; administer, score and interpret the GSS for service provision; and use a locally developed referral guide to identify appropriate services, where necessary. Each network site had a coordinator at the lead organization, who served as the local champion for the project. The coordinator was funded by the project to ensure compliance with all project processes and completed training and certification in Ethical Conduct for Research Involving Humans. Research ethics board approval (or organization-specific research review approval) was obtained from all participating organizations, as well as Health Canada and the Centre for Addiction and Mental Health (see ref.  for more details).
Youth were administered the GSS as part of routine service delivery. With consent, service providers or organizational leads photocopied the research package, ensuring any identifying information was removed prior to submission to the network coordinator and NYSP research team. Voluntary participation and anonymization of data prior to sending to the coordinating site were keys to the ethical conduct of the study. The availability of screening results to guide treatment was a potential benefit to study participants.
A one-page background information form was used to gather demographic information about participating youth. It collected information about the determinants of health frequently cited as associated with youth substance use and mental health concerns, including age, sex, education, employment, income support, housing, legal involvement, ethno-racial identification, and language diversity.
An extended version of the GSS was also administered. The GSS is a 20 item self-report screening tool developed by Chestnut Health Systems from the full-length Global Appraisal of Individual Needs-Initial (GAIN-I) [28, 29], which is comprehensive standardized interview protocol that can be used for diagnostic purposes based on DSM-IV-TR symptoms. The GSS presents respondents with a subset of these symptoms, identifying the likelihood of (1) internalizing disorders (e.g., depression); (2) externalizing disorders (e.g., ADHD); (3) substance use problems; and (4) crime and violence. It has been validated in both adults and adolescents, demonstrating strong validity, reliability, specificity, and sensitivity . Chestnut Health Systems permitted project leads from the Centre for Addiction and Mental Health (CAMH): Child, Youth and Family Program to modify the GSS in 2006, by adding seven items to create a 27 item version that was used in this project. The additional items screen for eating-related issues, trauma-related distress, disordered thinking, and gambling, gaming and internet overuse. These supplementary items were added following discussion with members of a multidisciplinary, multi-agency collaborating group identifying gaps in the domains covered by the original GSS. Items were largely based on additional domains covered by the original GAIN-I [28, 29]. The additional items are used in a stand-alone manner to allow clinicians to quickly flag possible areas of concern for further assessment, rather than constituting separate subscreeners. They are therefore not considered to be part of the scale’s factor structure.
The GSS asks participants to indicate the most recent timeframe during which they experienced significant problems in each item area, ranging from never (zero) to past month (3). In the original validation study , cut-offs were identified based on the number of items endorsed for the past year per subscreener: 0 items endorsed in a subscreener indicates low likelihood of a need for services, 1–2 items indicates a moderate need, and 3 or higher suggests a high probability of a diagnosis and/or need for services. Responses were recoded as per the scale norms. The GSS total score has a reported 91% sensitivity and 90% specificity at the high probability (3+ items) threshold among adolescents, with internal consistency ranging from α = .65 for crime/violence to α = .81 for externalizing . These past-year cutoffs are used in the current study to characterize the need levels of youth receiving care, based on original validation recommendations.
Descriptive statistics were calculated on demographic variables, GSS subscreeners, and the additional items to describe the sample. Using the established GSS thresholds for a high probability of a need for services, proportions were calculated to examine needs in a service-seeking sample. Twenty-three cases were removed since they did not provide GSS data. Cases missing more than one item per subscreener (>20% of items: n = 54; final study N = 2313) were also removed from the analyses; the remaining missing cases were handled in a pair-wise deletion manner where appropriate. Child welfare, family and social services, and housing and outreach sectors were collapsed into “Housing, outreach and support” for the purposes of analyses. The GSS item on suicidal ideation was analyzed separately to identify suicidality risk, as a key risk factor to consider for clinicians working with the youth. Descriptive analyses were conducted using SPSS version 21. Internal consistency was calculated using ordinal alphas, through polychoric correlations computed in Stata version 12 following the procedure set out in Zumbo et al. .
Confirmatory factor analysis was conducted using EQS 6.2 on the four primary subscreeners of the GSS, with correlated factors. The estimation method used was robust maximum likelihood to account for non-normal distributions and missing data. Recommended cutoffs for fit statistics are as follows: greater than a liberal .90 or a stricter .95 for the non-normed fit index (NNFI) and the comparative fit index (CFI) indicating an acceptable fit, in combination with a cutoff of <.06 for the root mean square error of approximation (RMSEA) . First, a unifactorial model was analyzed. This model did not fit the data. Next, a confirmatory model was produced in accordance with the original report that crime/violence items crossload on the externalizing disorder scale . This model revealed problems, including moderate fit indices and low factor loadings. Additional models were therefore analyzed based on the theoretical model and previous findings to obtain the best-fitting model. Since no acceptable model was found, the results are presented for the model based on the theoretical framework of the scale.
Sector distribution of participants
n = 1068
n = 1218
n = 2286
Demographic characteristics of the youth who participated
12–15 years old—n (%)
16–18 years old
19–24 years old
Other, don’t know
Highest education—n (%)
Grade 8 or less
Some high school
High school diploma
Bachelor’s degree or higher
Employment status—n (%)
First language English—n (%) yes
Born in Canada—n (%) yes
Unstable/high risk housing—n (%) yes
Legal involvement—n (%) yes
In the last 12 months
More than a year ago
Descriptive statistics and internal consistency by subscreener
Male vs. female
1. Internalizing disorder
2. Externalizing disorder
3. Substance problem
5. Additional items
5a. Missing meals or throwing up
5b. Binge eating
5c. Disturbing memories or dreams
5d. Thinking people are watching you
5e. Seeing or hearing things that no one else could see or hear
5f. Videogame playing or internet use
Total score—20 item original version
Total score—27 item extended version
Clinical needs of youth based on the GSS
Post-hoc tests at a Bonferroni corrected p value of p < .004 reveal that participants who met the criteria in the internalizing domain were significantly more likely to come from the mental health sector (p < .001) and less likely to come from the justice (p < .001) and health (p < .001) sectors. Those meeting externalizing criteria were significantly more likely to come from the addictions sector (p < .001) and less likely to come from the housing (p < .001) and health sectors (p = .002). Participants endorsing substance use disorders were significantly more likely to come from the addictions sector (p < .001) and less likely to come from the mental health (p < .001) and health sectors (p < .001), with the same results for the crime/violence domain. Lastly, those endorsing suicidality were significantly more likely to come from the mental health sector (p < .001) and less likely to come from justice (p < .001), housing (p < .002) or health (p = .001).
Subscreener domains were then analyzed by region, defined as Canada’s northerly vs. southerly areas. Results show that internalizing concerns and suicidality were significantly more likely to be endorsed in northerly regions (p < .001 and p = .032 respectively), but that there was no difference by region for externalizing (p = .917), substance use (p = .514), or crime/violence (p = .775).
Notably, over 50% of participants at addictions, housing and justice agencies endorsed three or more factors, with 11.6, 15.8 and 12.9% reporting experiencing five or more of the six factors respectively. Overall, these findings highlight the complexity of the needs of the individuals who are presenting for service, including those presenting in non-clinical service sectors.
Confirmatory factor analysis
To complement the descriptive findings and add incremental evidence to the psychometric literature on the GSS, confirmatory factor analysis was conducted on the model reflecting the theoretical framework of the scale. The twenty items were distributed evenly on four correlated factors. This model did not fit the data. The Satorra–Bentler Chi square statistic was significant, at SB χ2(164) = 2571.3, p < .001. The remaining fit statistics were below recommended values: NNFI = .837, CFI = .859, RMSEA = .083 (90% CI .080–.086). The model was rerun with a higher order factor bringing together the four subscales. The higher order factor did not improve the model fit.
Inter-item correlations between subscreeners and extension items
5a. Weight control
5b. Binge eating
5c. Disturbing memories
5e. Other thought disturbance
5f. Videogame or internet overuse
After successfully training service providers in a wide variety of agency types across Canada to use the GSS to systematically screen for youth addiction and mental health issues, this project examined the rate of problem endorsement in a large sample of Canadian youth presenting for services. Among the youth screened with the GSS, the majority endorsed concerns on the GSS and would be likely to meet diagnostic criteria for a disorder in a full diagnostic assessment, while many endorsed multiple concerns. High clinical need was present in both the clinical and non-clinical sectors. The needs of males and females, and younger and older youth differed. This study also revealed that the GSS’s four-factor structure is not in line with the original study  in this sample, suggesting the need for further psychometric work on the scale. However, the utility of the extension items added by the CAMH team was demonstrated; these items may be considered in future revisions of the GSS. In sum, this project demonstrated the feasibility, utility and importance of implementing a systematic screening tool such as the GSS across sectors, while highlighting the need for future psychometric work on the scale.
Previous research shows that the majority of youth with significant substance use or mental health concerns are not connected to specialized clinical treatment services, although they are often connected to other service systems, such as primary care, child welfare or justice [18, 19, 34, 35]. This is partly a result of a lack of adequate problem identification in non-clinical service systems, as well as poor cross-sectoral communication and coordination. For this reason, the current study implemented the GSS screening tool not only in clinically based service settings (e.g., mental health or addictions treatment), but also in non-clinical sectors (e.g., housing, outreach and support), where specialized clinical resources are less common.
A notable finding of the current study was that the rates of severe concerns and complexity endorsed on the GSS were high both among clinically-based services and in non-clinical service agencies (e.g., housing, outreach and support). This result is consistent with service provider perceptions that youth with complex needs often present to non-clinical services without adequate resources to meet their needs  and with previous research showing that clinical needs are high across sectors [17–21, 37]. Routine and effective screening for, and assessment of, mental health and substance use concerns among youth across sectors is therefore needed, particularly in service delivery settings where youth are already presenting themselves for assistance. Highlighting this need, many national  and international  expert panels and organizations have advocated for routine screening for mental health and substance use concerns for youth. Similarly, some youth with significant legal, housing, or vocational needs are seeking services in clinical treatment settings where services tailored to address broader social determinants of health may be less well developed. Taken together, these findings suggest further efforts at collaboration to leverage expertise across sectors and develop effective referral pathways between sectors and agencies may be warranted.
Since over half of participating youth endorsed significant concerns in more than one domain on the GSS, the importance of systematic screening among youth is highlighted . Sex-based differences in individual subscales and items, but not in the GSS total score, illustrate the importance of providing sex/gender-informed services [18–20]. For example, female youth were more likely to endorse internalizing concerns and suicide-related concerns, while male youth were more likely to endorse substance use and crime and violence related concerns. Similarly, youth of different age groups endorsed subscreeners at different levels, highlighting the importance of providing developmentally informed care. About half of youth endorsed having disturbing memories from the past, suggesting the need for trauma-informed care.
The GSS can fill an important gap in identifying youth in need of addiction and mental health services across a broad range of health and social service agency types. Given its acceptability among service providers [25, 26], feasibility of implementation in a broad range of agency types, and ability to screen for both addiction and mental health concerns in a cross-sectoral sample, the GSS can serve a role as an appropriate systematic screening tool for agencies across sectors. However, since its factor structure remains unclear, further work should be conducted to improve the validity of results provided by the scale. This is an important area of work, since systematically screening youth using a brief, cost-effective, user-friendly, and psychometrically valid tool across the full range of health and social service sectors will enable early identification of youth in need of services, potentially facilitating more timely access to needed services. Continued capacity building regarding screening, assessment and treatment of concurrent disorders across health and social service sectors is warranted.
This study has limitations that should be considered when interpreting the results. Since data from a comparable non-service seeking sample were not collected, service-seeking and non-service seeking groups cannot be compared. Given the cross-sectional nature of the study, it is impossible to determine whether the use of the GSS led to the provision of appropriate services. For measure validation purposes, comparison measures were not administered, making it impossible to assess convergence with and discrimination from other measures used in the field. In addition, the “extended” items added to the tool are interpreted on an item-by-item basis rather than forming subscales, which may limit their ability to reliably assess the overall construct that they aim to address; they are intended as general “flags” indicating the need to assess further, rather than fully valid measures of the intended constructs. The reliance solely on self-reports is an additional limitation that may affect the validity and reliability of the results. The problems revealed with the factor structure of the GSS raise questions about the constructs measured by the four domains. Nevertheless, this sample provides a profile of the needs of youth presenting to various health and social service sectors using a popular screening tool that is widely implemented in youth-serving agencies in Canada.
There have been many calls for a ‘no wrong door’ approach to service delivery for youth in order to improve service engagement, system access and health outcomes [40, 41]. In order for such an approach to be effective, consistent screening with easy-to-implement, valid and reliable tools across multiple sectors is required. By providing a descriptive profile of GSS endorsement among Canadian service-seeking youth, this paper provides benchmarks for those using this screening tool and illustrates the high level of clinical need across health and social service sectors. Moreover, it demonstrates the feasibility and utility of implementing a systematic screening tool and reinforces the need for screening given the high rates of endorsement of multiple areas of concerns by youth across diverse sectors, including those presenting for non-clinical services. The study provides support that the GSS may be a practical tool to assist clinicians in making health service decisions about youth, although further psychometric work is warranted.
(1) Dehcho Region, NWT, (2) Kelowna, BC, (3) Prince George, BC, (4) Thompson, MB, (5) Brantford and Brant County, ON, (6) Haldimand and Norfolk Counties, ON, (7) Niagara Region, ON, (8) Sudbury, ON, (9) Timmins and Region, ON, (10) Ottawa, ON, (11) Prince Edward Island, (12) Pictou County, Cumberland County, and Guysborough/Antigonish/Strait Region, NS, (13) Cape Breton Region, NS, (14) St. John’s, NL.
Study design, implementation, data collection: JH, GC. Data analyses, manuscript drafting: LH, JH. Manuscript review, editing, finalization: JH, GC, LH. All authors read and approved the final manuscript.
The authors would like to thank participating youth, caregivers and service providers for their participation in this project.
The authors declare that they have no competing interests.
Availability of data and materials
The datasets analyzed during the current study are available from the corresponding author on reasonable request.
Ethics approval and consent to participate
Research ethics board approval (or organization-specific research review approval) was obtained from all participating organizations, as well as Health Canada (REB #2009-0053) and the Centre for Addiction and Mental Health (REB #073-2010).
This work was supported by a financial contribution from Health Canada under the Health Canada, Drug Treatment Funding Program [# 6559-15-2009/5670009] and the Canadian Institutes of Health Research [FRN101832], the Ontario Centre for Excellence in Child and Youth Mental Health and the Rx and D Health Research Fund. The views expressed herein do not necessarily represent the views of funders.
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- Kim-Cohen J, Caspi A, Moffitt TE, Harrington H, Milne BJ, Poulton R. Prior juvenile diagnoses in adults with mental disorder: developmental follow-back of a prospective-longitudinal cohort. Arch Gen Psychiatry. 2003;60:709–17.View ArticlePubMedGoogle Scholar
- Bennett K, Rhodes AE, Duda S, Cheung AH, Manassis K, Links P, Mushquash C, Braunberger P, Newton AS, Kutcher S, et al. A youth suicide prevention plan for Canada: a systematic review of reviews. Can J Psychiatry. 2015;60:245–57.View ArticlePubMedPubMed CentralGoogle Scholar
- Statistics Canada: Table 102-0561. Leading causes of death, total population, by age group and sex, Canada, CANSIM (database). http://www5.statcan.gc.ca/cansim/a26?lang=eng&id=1020561.
- Waddell C, Shepherd C, Schwartz C, Barican J. Child and youth mental disorders: prevalence and evidence-based interventions, vol. 15. Vancouver: Children’s Health Policy Centre, Faculty of Health Sciences, Simon Fraser University; 2014. p. 15.Google Scholar
- Vida R, Brownlie EB, Beitchman JH, Adlaf EM, Atkinson L, Escobar M, Johnson CJ, Jiang H, Koyama E, Bender D. Emerging adult outcomes of adolescent psychiatric and substance use disorders. Addict Behav. 2009;34:800–5.View ArticlePubMedGoogle Scholar
- Bijl RV, Ravelli A. Current and residual functional disability associated with psychopathology: findings from the Netherlands Mental Health Survey and Incidence Study (NEMESIS). Psychol Med. 2000;30:657–68.View ArticlePubMedGoogle Scholar
- Urbanoski KA, Cairney J, Bassani DG, Rush BR. Perceived unmet need for mental health care for Canadians with co-occurring mental and substance use disorders. Psychiatr Serv. 2008;59:283–9.View ArticlePubMedGoogle Scholar
- Clark HW, Power AK, Le Fauve CE, Lopez EI. Policy and practice implications of epidemiological surveys on co-occurring mental and substance use disorders. J Subst Abuse Treat. 2008;34:3–13.View ArticlePubMedGoogle Scholar
- Costello EJ, He JP, Sampson NA, Kessler RC, Merikangas KR. Services for adolescents with psychiatric disorders: 12-month data from the National Comorbidity Survey-Adolescent. Psychiatr Serv. 2014;65:359–66.View ArticlePubMedPubMed CentralGoogle Scholar
- Office of the Auditor General of Ontario. Annual report of the Auditor General of Ontario. Toronto: Office of the Auditor General of Ontario; 2008.Google Scholar
- Sterling S, Valkanoff T, Hinman A, Weisner C. Integrating substance use treatment into adolescent health care. Curr Psychiatry Rep. 2012;14:453–61.View ArticlePubMedPubMed CentralGoogle Scholar
- Rush B, Castel S, Desmond R. Screening for concurrent substance use and mental health problems in youth. Toronto: Centre for Addiction and Mental Health; 2009.Google Scholar
- Carney T, Myers B. Effectiveness of early interventions for substance-using adolescents: findings from a systematic review and meta-analysis. Subst Abuse Treat Prev Policy. 2012;7:25.View ArticlePubMedPubMed CentralGoogle Scholar
- Hingson R, White A. New research findings since the 2007 surgeon general’s call to action to prevent and reduce underage drinking: a review. J Stud Alcohol Drugs. 2014;75:158–69.View ArticlePubMedPubMed CentralGoogle Scholar
- United Nations Office on Drugs and Crime. World drug report. New York: United Nations; 2015.Google Scholar
- Beaton A, Shubkin CD, Chapman S. Addressing substance misuse in adolescents: a review of the literature on the screening, brief intervention, and referral to treatment model. Curr Opin Pediatr. 2016;28:258–65.View ArticlePubMedGoogle Scholar
- Chaim G, Henderson J. Innovations in collaboration: findings from the GAIN Collaborating Network Project. Toronto: ON Centre for Addiction and Mental Health; 2009.Google Scholar
- Aarons GA, Brown SA, Hough RL, Garland AF, Wood PA. Prevalence of adolescent substance use disorders across five sectors of care. J Am Acad Child Adolesc Psychiatry. 2001;40:419–26.View ArticlePubMedGoogle Scholar
- Garland AF, Hough RL, McCabe KM, Yeh M, Wood PA, Aarons GA. Prevalence of psychiatric disorders in youths across five sectors of care. J Am Acad Child Adolesc Psychiatry. 2001;40:409–18.View ArticlePubMedGoogle Scholar
- Grisso T, Barnum R, Fletcher KE, Cauffman E, Peuschold D. Massachusetts Youth Screening Instrument for mental health needs of juvenile justice youths. J Am Acad Child Adolesc Psychiatry. 2001;40:541–8.View ArticlePubMedGoogle Scholar
- Harpin SB, Murray A, Rice M, Rames K, Gilroy C. Feasibility of a mental health screening and brief intervention shelter intake procedure for runaway/homeless youth. J Adolesc Health. 2016;58:S53–4.View ArticleGoogle Scholar
- Dennis ML, Chan YF, Funk RR. Development and validation of the GAIN Short Screener (GSS) for internalizing, externalizing and substance use disorders and crime/violence problems among adolescents and adults. Am J Addict. 2006;15(Suppl 1):80–91.View ArticlePubMedGoogle Scholar
- Goodman R. The Strengths and Difficulties Questionnaire: a research note. J Child Psychol Psychiatry. 1997;38:581–6.View ArticlePubMedGoogle Scholar
- Achenbach TM, Rescorla LA. Manual for the ASEBA school-age forms & profiles. Burlington: University of Vermont, Research Center for Children, Youth, & Families; 2001.Google Scholar
- Henderson J, Chaim G. National Youth Screening Project: enhancing youth-focused, evidence-informed treatment practices through cross-sectoral collaboration—National report. Toronto: Centre for Addiction and Mental Health; 2013.Google Scholar
- Henderson J, Chaim G. Ontario Youth Screening Project—provincial report. Toronto: Centre for Addiction and Mental Health; 2014.Google Scholar
- Henderson J, Chaim G, Brownlie EB. Collaborating with community-based services to promote evidence-based practice: process description of a national initiative to improve services for youth with mental health and substance use problems. Psychol Serv. doi:https://doi.org/10.1037/ser0000145.Google Scholar
- Dennis ML, White M, Titus JC, Unsicker J. Global appraisal of individual needs: administration guide for the GAIN and related measures: version 5. Bloomington: Chestnut Health Systems; 2008.Google Scholar
- Dennis ML. Global appraisal of individual needs (GAIN): administration guide for the GAIN and related measures. Bloomington: Chestnut Health Systems; 2003.Google Scholar
- Zumbo BD, Gadermann AM, Zeisser C. Ordinal versions of coefficients alpha and theta for Likert rating scales. J Mod Appl Stat Methods. 2007;6:21–9.Google Scholar
- Hu L, Bentler PM. Cutoff criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternatives. Struct Equ Model A Multidiscip J. 1999;6:1–55.View ArticleGoogle Scholar
- Bland JM, Altman DG. Cronbach’s alpha. BMJ. 1997;314:572.View ArticlePubMedPubMed CentralGoogle Scholar
- Micallef L, Rodgers P. eulerAPE: drawing area-proportional 3-Venn diagrams using ellipses. PLoS ONE. 2014;9:e101717.View ArticlePubMedPubMed CentralGoogle Scholar
- Waddell C, McEwan K, Shepherd CA, Offord DR, Hua JM. A public health strategy to improve the mental health of Canadian children. Can J Psychiatry. 2005;50:226–33.View ArticlePubMedGoogle Scholar
- Reid GJ, Evans B, Brown JB, Cunningham CE, Lent B, Neufeld R, Vingilis E, Zaric G, Shanley D. Help—I need somebody: the experiences of families seeking treatment for children with psychosocial problems and the impact of delayed or deferred treatment. Ottawa: Canadian Health Services Research Foundation; 2006.Google Scholar
- Chaim G, Henderson J, Brownlie EB. Youth services system review: a review of the continuum of Ontario services addressing substance use available to youth age 12–24. Toronto: Author; 2013.Google Scholar
- Aarons GA, James S, Monn AR, Raghavan R, Wells RS, Leslie LK. Behavior problems and placement change in a national child welfare sample: a prospective study. J Am Acad Child Adolesc Psychiatry. 2010;49:70–80.PubMedPubMed CentralGoogle Scholar
- Canada Health. Best practices—concurrent mental health and substance use disorders. Ottawa: Health Canada; 2002.Google Scholar
- Elster AB, Kuznets NJ. AMA guidelines for adolescent preventive services (GAPS): recommendations and rationale. Chicago: American Medical Association; 1994.Google Scholar
- National Treatment Strategy Working Group. A systems approach to substance use in Canada: recommendations for a national treatment strategy, vol. 55. Ottawa: National Treatment Strategy Working Group; 2008. p. 55.Google Scholar
- Mental Health Commission of Canada. Toward recovery & well-being: a framework for a mental health strategy for Canada, vol. 129. Ottawa: Mental Health Commission of Canada; 2009. p. 129.Google Scholar