Human Trafficking of Boys and Young Men: A Systematic Literature Review of Impacts on Mental Health and Implications for Services in Post-Trafficking Settings
Abstract
:1. Introduction
2. Materials and Methods
2.1. Search Strategy
2.2. Selection Strategy
2.3. Data Extraction and Analysis
2.4. Quality Appraisal
3. Results
3.1. Study Selection
Characteristics of Included Studies
3.2. Thematic Findings
3.2.1. Mental Health Outcomes and Related Stressors
3.2.2. Mental Health Care Available to Boys and Young Men
3.2.3. Access to Care Services
- Availability
- Approachability
- Accessibility
- Continuity
“Quite often we would get a case and refer for assessment for counselling, the victim at this point may be in the system for three to four weeks already. Counsellor may say need seven weeks but the victim may need to leave at week five. That concerns me as you are really opening up a can of worms, that doesn’t sit well with me and I don’t feel good about it”(Service provider (Munro and Pritchard 2013))
- Safety
- Effectiveness
- Appropriateness
“Money is definitely the main thing they want to talk about”(Provider (Munro and Pritchard 2013))
“Often boys will be blamed, isolated, marginalised and punished for expressing the problems they have. A boy might act out, be aggressive and anti-social. This is a particular barrier to providing services and there is a real need to understand the perspective of men and what help they need”
“They keep things in as men do and when they have a drink it comes out, and it can come out in the form of violent aggression towards others and staff. But it is about understanding the trigger points.”(Provider (Munro and Pritchard 2013))
“Sometimes it takes weeks for them to start trusting here”(Provider (Munro and Pritchard 2013))
“Some of them will tell you…they will come in traumatised and upset and tell you quite early on. And others just won’t”(Provider (Rigby 2011))
- Acceptability
“It still hasn’t been explained by the doctor what happened to me”(Male survivor (Westwood et al. 2016))
“Many men are ashamed of appealing for help, because our society does not really accept or approve of men who appeal for assistance”(Male survivor (Surtees 2008))
“They would never request assistance from organizations because they will be mocked and laughed at by their relatives. A man must manage his problems by himself”(Male survivor (Surtees 2008))
“How to say this? I don’t think I am a victim. It is even ridiculous for me to think that I am a victim.”(Male survivor (Surtees 2008))
4. Discussion
4.1. Mental Health Outcomes and Stressors
4.2. Available Services and Types of Mental Health Care
4.3. Challenges and Opportunities in Accessing Mental Health Care
5. Limitations
5.1. Limitations of Included Studies
5.1.1. Sampling Limitations
5.1.2. Lack of Specificity
5.1.3. Issues with Reliability and Comparability
5.1.4. Geographic Representation
5.1.5. Quality of Studies
5.2. Limitations of the Review’s Methodology
5.2.1. Definitions of Human Trafficking
5.2.2. Post-Trafficking Settings
5.2.3. Approach to Gender
5.2.4. Language and Publication Bias
6. Conclusions
Supplementary Materials
Author Contributions
Funding
Acknowledgments
Conflicts of Interest
1 | The WHO defines “adolescents” as individuals in the 10–19 years age group and “youth” as the 15–24 years age group. |
2 | Considering the available evidence on the trafficking of young males presented above, the scope of the review will be limited to two forms of human trafficking, for the purposes of sexual exploitation and/or human trafficking for the purposes of labour exploitation. Other forms of modern slavery which are either less prevalent (for instance, trafficking for the removal of organs) or that affect mainly women and girls (for instance, forced marriage) are excluded from the review. |
3 | The Psychosocial Working Group (2003) adopted the term “psychosocial wellbeing” rather than psychological wellbeing to emphasise the role of social and cultural factors in individual experiences and development. The concept of psychosocial is closely linked to the concepts of “wellbeing” or “wellness”. Most definitions of psychosocial are based on the assumption that psychological and social factors are responsible for the wellbeing of people. Humanitarian agencies have come to prefer the term “psychosocial wellbeing” over narrower concepts such as “mental health”, because it points explicitly to social and cultural as well as psychological influences on wellbeing. The term psychosocial implies a very close relationship between psychological and social factors (Devine 2009). Humanitarian practitioners may use the composite term “mental health and psychosocial support (MHPSS)” to describe “any type of local or outside support that aims to protect or promote psychosocial wellbeing and/or prevent or treat mental disorder”. This approach may better address the diverse needs of populations and is often depicted as a pyramid of multi-layered support (Purgato et al. 2018). |
4 | Post-trafficking settings refer to the various stages following a survivor’s exit (via removal or escape) from a situation of exploitation. These stages include—but are not limited to—possible detention, immediate aftercare, aftercare, return, (re)integration and life beyond. Post-trafficking services may offer support to survivors following exit (removal or escape) from a situation of exploitation and at different post-trafficking stages. By this definition, post-trafficking services do not refer to care provision while individuals are still in a situation of exploitation or while they are being trafficked. Considering known methodological and ethical difficulties in conducting research both prior to exit from the situation of exploitation but also from the point of return/(re)integration and onwards, a large number of studies focus on detention and aftercare stages. Immediate aftercare can also be considered a crucial intervention point to provide mental health and psychosocial care to young survivors. |
5 | Systematic and other reviews were not eligible for inclusion, although they were identified during title and abstract screening and used for the purpose of backward citation tracking. |
6 | Cross-sectional survey of health needs, access and care experiences reported by trafficked people. |
7 | Qualitative interviews with trafficked adults and adolescents in contact with support services in England. |
8 | Qualitative research with NHS and non-NHS professionals to explore experiences of responding to human trafficking. |
9 | Across studies with mixed samples of survivors (either in terms of age and/or gender), Cary et al. (2016) had 18 males under 25 (T = 119), Domoney et al. (2015) had 10 male minors (T = 130), Iglesias-Rios et al. (2019a, 2019b), Kiss et al. (2015a, 2015b) had 238 males under 24 (T = 1015), Mostajabian et al. (2019) had 61 males aged 18–21, Nodzenski et al. (2020) had 107 males aged 10–19 (T = 517), Oram et al. (2015) had 12 males under 18 (T = 133), Stanley et al. (2016) had 5 males aged 16–21 (T = 29), Turner-Moss et al. (2014) had 6 males aged 18–25 (T = 35) and Westwood et al. (2016) had 10 males aged 16–25 (T = 160). Across studies with samples of males, Munro and Pritchard (2013) had 3 survivors aged 18–24, Pocock et al. (2018) had 116 males aged 10–24 (T = 275), Surtees (2008) had 18 minors (T = 685) and Zimmerman et al. (2014) had 244 males aged 10–24 (T = 1102). Across studies with samples of minors, Goldberg et al. (2017) had 1 male (T = 41), Landers et al. (2017) had 5 males (T = 87), Ottisova et al. (2018a, 2018b) had 11 males (T = 51) and Palines et al. (2019) had 10 males (T = 143). Across studies sampling male minors exclusively, samples ranged from 22 (Davis et al. 2016) to 780 participants (Thabet et al. 2011). |
10 | Seven studies published using the SLaM CRIS database and seven studies published using the STEAM dataset. |
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Author | Study Objective 1 | Study Objective 2 | Study Objective 3 | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Mental health Outcomes | Stressors | Service Type | Type of care—Mental Health | Type of Care—Psychosocial | Availability | Approachability | Accessibility | Safety | Continuity | Effectiveness | Appropriateness | Acceptability | |
Aberdein and Zimmerman (2015) | x | x | x | x | x | x | x | x | x | X | |||
Cary et al. (2016) | x | x | |||||||||||
Davis et al. (2016) | x | x | x | x | x | x | X | ||||||
Domoney et al. (2015) | x | x | x | x | x | x | X | ||||||
Gibbs et al. (2015) | x | x | x | x | x | x | x | x | X | ||||
Goldberg et al. (2017) | x | x | x | ||||||||||
Iglesias-Rios et al. (2019a) | x | x | x | ||||||||||
Iglesias-Rios et al. (2019b) | x | x | x | ||||||||||
Kiss et al. (2015b) | x | x | x | ||||||||||
Kiss et al. (2015a) | x | x | x | x | x | ||||||||
Kung (2014) | x | x | x | x | x | X | |||||||
Landers et al. (2017) | x | x | x | x | X | ||||||||
Macias-Konstantopoulos et al. (2015) | x | x | x | x | x | ||||||||
Mostajabian et al. (2019) | x | x | x | x | x | x | X | ||||||
Munro and Pritchard (2013) | x | x | x | x | x | x | x | X | |||||
Nodzenski et al. (2020) | x | x | x | x | x | x | x | ||||||
Oram et al. (2015) | x | x | x | x | x | ||||||||
Oram et al. (2016, [1]) | x | x | x | x | |||||||||
Oram et al. (2016, [2]) | x | x | x | x | X | ||||||||
Oram et al. (2016, [3]) | x | x | x | x | x | x | x | X | |||||
Ottisova et al. (2018a) | x | x | x | x | x | ||||||||
Ottisova et al. (2018b) | x | x | x | x | x | ||||||||
Palines et al. (2019) | x | x | x | x | |||||||||
Pocock et al. (2018) | x | x | x | x | x | x | x | x | x | x | X | ||
Powell et al. (2018) | x | x | x | x | x | X | |||||||
Rigby (2011) | x | x | x | x | x | x | x | X | |||||
Stanley et al. (2016) | x | x | x | x | x | x | x | x | X | ||||
Surtees (2008) | x | x | x | x | x | X | |||||||
Thabet et al. (2011) | x | ||||||||||||
Turner-Moss et al. (2014) | x | x | |||||||||||
Twigg (2017) | x | x | x | x | x | ||||||||
Westwood et al. (2016) | x | x | x | x | x | x | x | X | |||||
Zimmerman et al. (2014) | x | x | x | x |
Author | Sample Size and Composition [Males] | Measure of Mental Health Outcome | Prevalence of Mental Health Outcome Among Males | Prevalence of Mental Health Outcome Among Females | Prevalence of Mental Health Outcome (Overall) |
---|---|---|---|---|---|
Mood disorders (including depression) [23.1–60.7%] | |||||
Davis et al. (2016) | 22 males (10 to 19 yo) | N.A *. | 36% (n = 22) | N.A. (n = 0) | 36% (n = 22) |
Iglesias-Rios et al. (2019a) | 446 males (aged 10+ yo) | Hopkins Symptoms Checklist | 59% (n = 446) | 61% (n = 569) | N.A. (n = 1015) |
Kiss et al. (2015b) | 383 adult males (including 168 aged 18–24 yo) | Hopkins Symptoms Checklist | 60.7% (n = 383) | 66.6% (n = 288) | N.A. (n = 671) |
344 children (males and females) | Hopkins Symptoms Checklist | N.A. | N.A. | 57.3% (n = 344) | |
Kiss et al. (2015a) | 70 male children (10–17 yo) | Hopkins Symptoms Checklist | 40% (n = 70) | 59.9% (n = 317) | 56.3% (n = 387) |
Landers et al. (2017) | 87 children—including 5 male children (10–18 yo) | Child and Adolescent Needs and Strengths—Commercially Sexually Exploited (CANS-CSE) assessment tool | N.A. | N.A. | 62.3% (n = 87) |
Mostajabian et al. (2019) | 120 youth (18–21 yo)—including 61 male youths | N.A. | N.A. | N.A. | 49.3% (n = 120) |
Nodzenski et al. (2020) | 107 male youths (10–19 yo) | Hopkins Symptoms Checklist | 37.4% (n = 107) | 51.5% (n = 410) | 48.6% (n = 517) |
Oram et al. (2015) | 37 children—including 12 male children | International Classification of Diseases-10 (ICD-10) diagnosis tool | N.A. | N.A. | 27% (n = 37) |
96 adults—including 18 male adults | International Classification of Diseases-10 (ICD-10) diagnosis tool | N.A. | N.A. | 34% (n = 96) | |
Oram et al. (2016, [1]) | 150 adults—including 52 adult males | Patient Health Questionnaire9 (PHQ-9) | 23.1% (n = 52) | 51% (n = 98) | 41.3% (n = 150) |
29 young people (16–21 yo)—including 5 male youths | Patient Health Questionnaire9 (PHQ-9) | N.A. (n = 5) | N.A. (n = 24) | N.A. (n = 29) | |
Ottisova et al. (2018a, 2018b) | 51 children (5–17 yo)—including 11 male children | International Classification of Diseases-10 (ICD-10) diagnosis tool | N.A. (n = 11) | N.A. (n = 40) | 22% (n = 51) |
Palines et al. (2019) | 143 youth (12–17)—including 10 male and 4 transgender youths | N.A. | N.A. (n = 10) | N.A. (n = 129) | 45.5% (n = 143) |
Pocock et al. (2018) | 275 males—including 126 male youths (10–24 yo) | Hopkins Symptoms Checklist | 54.4% (n = 275) | N.A. (n = 0) | 54.4% (n = 275) |
Zimmerman et al. (2014) | 465 males (adult + children)—including 174 male youths (18–24 yo) 637 females (adults + children) T= 1102 | Hopkins Symptoms Checklist | 57.1% (n = 465) | 61.8% (n = 637) | 59.7% (n = 1102) |
387 children (10–17 yo)—including 70 male children | Hopkins Symptoms Checklist | N.A. | N.A. | 48.1% (10–14 yo) 58.4% (15–17 yo) (n = 387) | |
Anxiety [19.2–48.4%] | |||||
Iglesias-Rios et al. (2019a) | 446 males (10+) | Hopkins Symptoms Checklist | 48% (n = 446) | 37% (n = 569) | N.A. (n = 1015) |
Kiss et al. (2015b) | 383 adult males (including 168 aged 18–24 yo) | Hopkins Symptoms Checklist | 48.4% (n = 383) | 48.1% (n = 288) | N.A. (n = 671) |
344 children (males and females) | Hopkins Symptoms Checklist | N.A. | N.A. | 32.3% (n = 344) | |
Kiss et al. (2015a) | 70 male children (10–17 yo) | Hopkins Symptoms Checklist | 32.9% (n = 70) | 32.5% (n = 317) | 32.6% (n = 387) |
Landers et al. (2017) | 87 children—including 5 male children (10–18 yo) | Child and Adolescent Needs and Strengths—Commercially Sexually Exploited (CANS-CSE) assessment tool | N.A. | N.A. | 51.2% (n = 87) |
Nodzenski et al. (2020) | 107 male youths (10–19 yo) | Hopkins Symptoms Checklist | 36.4% (n = 107) | 34.9% (n = 410) | 35.2% (n = 517) |
Oram et al. (2016, [1]) | 150 adults—including 52 adult males | PTSD Checklist—Civilian (PCL-C) | 19.2% (n = 52) | 49% (n = 98) | 38.7% (n = 150) |
29 young people (16–21 yo)—including 5 male youths | PTSD Checklist—Civilian (PCL-C) | N.A. (n = 5) | N.A. (n = 24) | N.A. (n = 29) | |
Palines et al. (2019) | 143 youth (12–17)—including 10 male and 4 transgender youths | N.A. | N.A. (n = 10) | N.A. (n = 129) | 19.6% (n = 143) |
Pocock et al. (2018) | 275 males—including 126 male youths (10–24 yo) | Hopkins Symptoms Checklist | 44.9% (n = 275) | N.A. (n = 0) | 44.9% (n = 275) |
Zimmerman et al. (2014) | 465 males (adults + children)—including 174 male youths (18–24 yo) 637 females (adults + children) T = 1102 | Hopkins Symptoms Checklist | 45.7% (n = 465) | 39.3% (n = 637) | 41.9% (n = 1102) |
387 children (10–17 yo)—including 70 male children | Hopkins Symptoms Checklist | N.A. | N.A. | 30.4% (10–14) 33.1% (15–17) (n = 387) | |
PTSD [18.8–46.3%] | |||||
Iglesias-Rios et al. (2019a) | 446 males (10 yo onwards) | Harvard Trauma Questionnaire | 46% (n = 446) | 31% (n = 569) | N.A. (n = 1015) |
Kiss et al. (2015b) | 383 adult males (including 168 aged 18–24 yo) | Harvard Trauma Questionnaire | 46.3% (n = 383) | 43.9% (n = 288) | N.A. (n = 671) |
344 children (males and females) | Harvard Trauma Questionnaire | N.A. | N.A. | 26.5% (n = 344) | |
Kiss et al. (2015a) | 70 male children | Harvard Trauma Questionnaire | 18.8% (n = 70) | 26.9% (n = 317) | 25.5% (n = 387) |
Nodzenski et al. (2020) | 107 male youths (10–19) | Harvard Trauma Questionnaire | 26.2% (n = 107) | 27.1% (n = 410) | 26.9% (n = 517) |
Oram et al. (2015) | 37 children—including 12 male children | International Classification of Diseases-10 (ICD-10) diagnosis tool | N.A. | N.A. | 27% (n = 37) |
96 adults—including 18 male adults | International Classification of Diseases-10 (ICD-10) diagnosis tool | N.A. | N.A. | 28% (n = 96) | |
Oram et al. (2016, [1]) | 150 adults—including 52 adult males | PTSD Checklist—Civilian (PCL-C) | 25% (n = 52) | 59.2% (n = 98) | 47.3% (n = 150) |
29 young people (16–21 yo)—including 5 male youths | PTSD Checklist—Civilian (PCL-C) | 20% (n = 5) | 62.5% (n = 24) | 55.2% (n = 29) | |
Ottisova et al. (2018a, 2018b) | 51 children (5–17 yo)—including 11 male children | International Classification of Diseases-10 (ICD-10) diagnosis tool | N.A. (n = 11) | N.A. (n = 40) | 22% (n = 51) |
Palines et al. (2019) | 143 youth (12–17)—including 10 male and 4 transgender youths | N.A. | N.A. (n = 10) | N.A. (n = 129) | 19.6% (n = 143) |
Pocock et al. (2018) | 275 males—including 126 male youths (10–24 yo) | Harvard Trauma Questionnaire | 39.4% (n = 275) | N.A. (n = 0) | 39.4% (n = 275) |
Stanley et al. (2016) | 29 youth (10–21 yo) including 5 male youths | PTSD Checklist—Civilian | 20% (n = 5) | 62.5% (n = 24) | 55.2% (n = 29) |
Turner-Moss et al. (2014) | 35 adults (18+ yo) | Harvard Trauma Questionnaire | N.A. (n = 27) | N.A. (n = 8) | 57% (n = 35) |
Zimmerman et al. (2014) | 465 males (adults + children) - Including 174 male youths (18–24 yo) 637 females (adults + children) T = 1102 | Harvard Trauma Questionnaire | 40.7% (n = 465) | 32.0% (n = 637) | 35.5% (n = 1102) |
387 children (10–17)—including 70 male children | Harvard Trauma Questionnaire | N.A. | N.A. | 21.5% (10–14) 24.7% (15–17) (n = 387) | |
Self-harm [5.1–9%] | |||||
Goldberg et al. (2017) | 41 children (11–17 yo)—including one male and one transgender child | N.A. | N.A. (n = 1) | N.A. (n = 39) | 10% (n = 41) |
Kiss et al. (2015a) | 70 male children (10–17) | positive for participants reporting having tried to physically harm themselves in any way | 9% (n = 70) | 12.6% (n = 317) | 11.9% (n = 387) |
Ottisova et al. (2018a, 2018b) | 51 children (5–17 yo)– including 11 male children | International Classification of Diseases-10 (ICD-10) diagnosis tool | N.A. (n = 11) | N.A. (n = 40) | 33% (n = 51) |
Pocock et al. (2018) | 275 males—including 126 male youths (10–24 yo) | N.A. | 5.1% (n = 275) | N.A. (n = 0) | 5.1% (n = 275) |
Suicidal ideation [7.3–20%] | |||||
Davis et al. (2016) | 22 males (aged 10 to 19) | N.A. | 36% | N.A. | 36% |
Goldberg et al. (2017) | 41 children (11–17 yo)—including one male and one transgender child | N.A. | N.A. (n = 1) | N.A. (n = 39) | 20% (n = 41) |
Oram et al. (2016, [1]) | 150 adults—including 52 adult males | Revised Clinical Interview Schedule (CIS-R) | 13.5% (n = 52) | 51% (n = 98) | 38% (n = 150) |
29 young people (16–21 yo)—including 5 male youths | Revised Clinical Interview Schedule (CIS-R) | 20% (n = 5) | 45.8% (n = 24) | 41.4% (n = 29) | |
Pocock et al. (2018) | 275 males—including 126 male youths (10–24 yo) | N.A. | 7.3% (n = 275) | N.A. (n = 0) | 7.3% (n = 275) |
Stanley et al. (2016) | 29 youths (10–21 yo) including 5 male youths | Revised Clinical Interview Schedule | 20% (n = 5) | 45.8% (n = 24) | 41.4% (n = 29) |
Westwood et al. (2016) | T = 136 91 female and 45 male participants (16+ yo)—including 10 male youths (16–25 yo) | N.A. | 11% (n = 45) | 49% (n = 91) | N.A. (n = 136) |
Suicide attempt [2.9–4.4%] | |||||
Kiss et al. (2015a) | 70 male children (10–17) | positive for participants who reported trying to take their own lives in the month before the interview | 2.9% (n = 70) | 6% (n = 317) | 5.4% (n = 387) |
Mostajabian et al. (2019) | 120 youths (18–21)—including 61 male youths | N.A. | N.A. | N.A. | 42% (n = 120) |
Ottisova et al. (2018a, 2018b) | 51 children (5–17 yo)– including 11 male children | International Classification of Diseases-10 (ICD-10) diagnosis tool | N.A. (n = 11) | N.A. (n = 40) | 27% (n = 51) |
Pocock et al. (2018) | 275 males—including 126 male youths (10–24 yo) | N.A. | 4.4% (n = 275) | N.A. (n = 0) | 4.4% (n = 275) |
Psychotic disorders [up to 39%] | |||||
Cary et al. (2016) | T = 119 28 males and 91 females—including 18 male youths (8–25 yo) | International Classification of Diseases-10 (ICD-10) diagnosis tool | 39% (n = 28) | 10% (n = 91) | 17% (n = 119) |
Palines et al. (2019) | 143 youths (12–17)—including 10 male and 4 transgender youths | N.A. | N.A. (n = 10) | N.A. (n = 129) | 14% (n = 143) |
Psychological distress [42–61%] | |||||
Oram et al. (2016, [1]) | 150 adults—including 52 adult males | N.A. | N.A. (n = 52) | N.A. (n = 98) | N.A. (n = 150) |
29 young people (16–21 yo)—including 5 male youths | Strengths and Difficulties Questionnaire | 60% (n = 5) | 66.6% (n = 24) | 65.5% (n = 29) | |
Cary et al. (2016) | T = 119 28 males and 91 females—including 18 male youths (8–25 yo) | International Classification of Diseases-10 (ICD-10) diagnosis tool | 61% (n = 28) | 90% (n = 91) | 83% (n = 119) |
Stanley et al. (2016) | 29 youths (10–21 yo)—including 5 male youths | Strengths and Difficulties Questionnaire | 60% (n = 5) | 66.7% (n = 24) | 65.5% (n = 29) |
Westwood et al. (2016) | T= 136 91 female and 45 male participants (16+ yo)—including 10 male youths (16–25 yo) | N.A. | 42% (n = 45) | 81% (n = 91) | N.A. (n = 136) |
Substance misuse [21–33.3%] | |||||
Davis et al. (2016) | 22 males (aged 10 to 19) | N.A. | 21% (n = 22) | N.A. | 21% (n = 22) |
Landers et al. (2017) | 87 children—including 5 male children (10–18) | Child and Adolescent Needs and Strengths—Commercially Sexually Exploited (CANS-CSE) assessment tool | N.A. | N.A. | 46.9% (n = 87) |
Mostajabian et al. (2019) | 120 youths (18–21)—including 61 male youths | N.A. | N.A. | N.A. | 40% (n = 120) |
Oram et al. (2016, [1]) | 150 adults—including 52 adult males | Alcohol Use Disorders Identification Test Consumption (AUDIT-C) | 33.3% (n = 52) | 4.1% (n = 98) | 14% (n = 150) |
29 young people (16–21 yo)—including 5 male youths | Alcohol Use Disorders Identification Test Consumption (AUDIT-C) | N.A. (n = 5) | N.A. (n = 24) | N.A. (n = 29) | |
Ottisova et al. (2018a, 2018b) | 51 children (5–17 yo)—including 11 male children | International Classification of Diseases-10 (ICD-10) diagnosis tool | N.A. (n = 11) | N.A. (n = 40) | 18% (n = 51) |
Anger/hostility [up to 13%] | |||||
Kiss et al. (2015a) | 70 male children (10–17) | Brief Symptom Inventory | 13% (n = 70) | 24% (n = 317) | 22% (n = 387) |
Landers et al. (2017) | 87 children—including 5 male children (10–18) | Child and Adolescent Needs and Strengths—Commercially Sexually Exploited (CANS-CSE) assessment tool | N.A. | N.A. | 54.2% (n = 87) |
Challenge | Areas of Access | Recommended Action |
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| Availability Accessibility Acceptability Continuity |
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| Approachability Accessibility Safety Acceptability Appropriateness |
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| Accessibility Continuity Safety Appropriateness Acceptability |
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| Safety Accessibility |
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| Safety Appropriateness |
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| Continuity Safety Appropriateness Acceptability |
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| |
| Availability Appropriateness Acceptability |
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| Continuity Appropriateness |
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| Accessibility Safety Availability Continuity |
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Nodzenski, M.; de Smalen, A.W.; Pocock, N.S.; Kavenagh, M.; Kiss, L.; Buller, A.M. Human Trafficking of Boys and Young Men: A Systematic Literature Review of Impacts on Mental Health and Implications for Services in Post-Trafficking Settings. Soc. Sci. 2024, 13, 567. https://doi.org/10.3390/socsci13110567
Nodzenski M, de Smalen AW, Pocock NS, Kavenagh M, Kiss L, Buller AM. Human Trafficking of Boys and Young Men: A Systematic Literature Review of Impacts on Mental Health and Implications for Services in Post-Trafficking Settings. Social Sciences. 2024; 13(11):567. https://doi.org/10.3390/socsci13110567
Chicago/Turabian StyleNodzenski, Marie, Allard W. de Smalen, Nicola S. Pocock, Mark Kavenagh, Ligia Kiss, and Ana Maria Buller. 2024. "Human Trafficking of Boys and Young Men: A Systematic Literature Review of Impacts on Mental Health and Implications for Services in Post-Trafficking Settings" Social Sciences 13, no. 11: 567. https://doi.org/10.3390/socsci13110567
APA StyleNodzenski, M., de Smalen, A. W., Pocock, N. S., Kavenagh, M., Kiss, L., & Buller, A. M. (2024). Human Trafficking of Boys and Young Men: A Systematic Literature Review of Impacts on Mental Health and Implications for Services in Post-Trafficking Settings. Social Sciences, 13(11), 567. https://doi.org/10.3390/socsci13110567