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CHARACTERIZING MENTORING PROGRAMS 1
Characterizing Mentoring Programs for Promoting Children and Young People’s
Wellbeing
Bélène Podmore, University College London
Peter Fonagy, University College London
Simon Munk, University College London
Author note
Bélène Podmore, Research Department of Clinical, Educational and Health Psychology,
University College London.
Peter Fonagy, Research Department of Clinical, Educational and Health Psychology,
University College London.
Simon Munk, Research Department of Clinical, Educational and Health Psychology,
University College London.
Bélène Podmore is now at the Department of Health Services Research, London School of
Hygiene and Tropical Medicine.
Acknowledgements: The study received no external funding. The authors have
declared that they have no competing or potential conflicts of interest.
Correspondence concerning this article should be addressed to Peter Fonagy,
Research Department of Clinical, Educational and Health Psychology, University College
London, 1–19 Torrington Place, London WC1E 7HB, UK.
E-mail: [email protected]
CHARACTERIZING MENTORING PROGRAMS 2
Abstract
Mentoring programs are widely used to promote wellbeing in children and young people and
to prevent emotional and behavioral difficulties. There is a growing evidence base on
mentoring programs, and research is needed to review and synthesize the extant literature to
examine the characteristics of successful mentoring programs. In this study, a scoping review
adhering to best practice standards was conducted, and four academic databases were
searched for relevant literature. Data were extracted to characterize mentoring programs
along eight domains which were deemed to be most important in the current literature: target
group, design, recruitment, matching, training, the mentoring relationship, support, and
evaluation. Findings from the present review suggest that characteristics of successful
mentoring programs may include recruiting mentees with intermediate levels of difficulties,
providing ongoing training and support to mentors, matching mentors and mentees on
personality styles, fostering an effective mentor–mentee relationship, and routine outcome
monitoring to ensure continual evaluation.
Keywords: Mentoring, child, adolescent, youth, mental health, wellbeing
CHARACTERIZING MENTORING PROGRAMS 3
Mentoring programs have in recent years become a very popular way of seeking to
promote resilience and wellbeing in children and young people. In 2006, for example, there
were more than 5,000 mentoring programs in the United States alone (MENTOR/National
Mentoring Partnership, 2006).
Studies evaluating the effectiveness of mentoring programs have only recently
emerged in the academic literature (DuBois, Holloway, Valentine, & Cooper, 2002). This is
primarily because of the multidisciplinary and applied nature of mentoring, which has meant
that reports have been published predominantly in the grey literature and a significant
proportion have been produced internally by private foundations and other organizations.
While there is now a large body of academic literature on the effectiveness of
mentoring programs, there is a very limited literature on how to deliver effective mentoring
programs (DuBois, Portillo, Rhodes, Silverthorn, & Valentine, 2011). There are very few
experimental or observational studies that report the correlates of good outcomes. Even fewer
studies highlight what factors may be necessary to ensure delivery of a successful mentoring
program (Deutsch & Spencer, 2009; Sipe, 2002). None of the reviews previously undertaken
on features of programs moderating outcome has been systematic.
We undertook this review to bridge this gap in the evidence base and identify
characteristics associated with positive outcomes in terms of (a) the target groups of mentors
and mentees, (b) the design of mentoring programs and their settings, (c) the methods of
recruitment used, (d) the way mentors and mentees were matched, (e) the training provided
for mentors, (f) aspects of the mentor–mentee relationship that were associated with good
outcomes, and (g) the ways effective support could be provided to mentors, with a view to
making recommendations for future research and practice.
CHARACTERIZING MENTORING PROGRAMS 4
Method
Identification of Studies
Articles were retrieved by searching OVID databases (Medline, Embase, Cochrane
Library) and CINAHL Plus for any articles published in the period 1990–2014 that included
mentoring keywords in the title. Articles were also retrieved from grey literature databases
such as PsychExtra and Healthcare Management Information Consortium. Further databases
such as TRIP were also used. We searched for and combined with the Boolean operator “OR”
all relevant subject headings, using the “explosions” function where needed and keywords in
titles and abstracts for two concepts: “mentoring” and “program.”
Inclusion/Exclusion Criteria
The review strategy was informed by the realist review, a model of research synthesis
designed for working with complex social programs (Pawson, Greenhalgh, Harvey, &
Walshe, 2005). References were screened iteratively with increasing depth until a focused
cohort was obtained and reviewed in full. Each article was assessed for inclusion according to
the following criteria: (a) the article was published in the English language in a peer-reviewed
journal; b) the article discussed mentoring programs to improve positive youth development;
and (c) the article focused on programs related to mentoring children and young people up to
25 years of age.
Search Flow
The initial database search yielded 3,860 records; after duplicates were removed,
2400 records remained (see Figure 1). The titles were then screened for meeting the inclusion
criteria. In cases where this was not clear from the title, the abstract was reviewed. In cases
where it was still not clear from the abstract whether the article met the inclusion criteria, the
CHARACTERIZING MENTORING PROGRAMS 5
full-text article was reviewed. After screening, 17 papers were found to have described and
evaluated certain aspects of the delivery of a mentoring program (see Table 1).
The findings were then grouped together into the following eight domains based on
the most common components of a mentoring program: target group, program design and
setting, recruitment, matching, training, the mentoring relationship, support, and evaluation.
Out of the 17 papers identified. 13 were observational studies and 4 were randomized
controlled trials (see Table 2).
Results
Target Group
Mentees
There are different theories about who benefits the most from mentoring programs,
but there is limited evidence on this question. The general assumption is that the most
disadvantaged and/or at risk young people are especially likely to gain from mentoring
programs (Drexler, Borrmann, & Müller-Kohlenberg, 2011; Jekielek, Moore, & Hair, 2002).
For example, mentoring is considered most effective when directed toward young people
who have been identified as exhibiting behavioral difficulties such as delinquent behavior or
discipline problems at school (DuBois et al., 2011).
The most recent meta-analysis suggests that mentoring programs have a stronger
effect when they serve young people who are experiencing either individual (e.g., personal
predispositions in the child, such as genetic risk; Rhodes, 1994) and environmental risk (e.g.
family environment, school environment, extra familial sources of support) simultaneously,
or environmental risk alone (DuBois & Silverthorn, 2005b). Due to the relatively small
number of evaluations, it is not possible to say whether environmental as opposed to
individual risk, or vice versa, is the determining factor underlying likely responsiveness to
mentoring (DuBois et al., 2002).
CHARACTERIZING MENTORING PROGRAMS 6
Another theory is that young people experiencing intermediate levels of difficulties,
rather than those presenting with either severe difficulties or relatively mild problems, are
more likely to benefit from mentoring programs (DuBois & Karcher, 2013; Schwartz,
Rhodes, Chan, & Herrera, 2011).
Mentors
Mentors are recruited from a variety of settings. Most programs use adults from the
local community. Other programs use young adults who are more experienced and may have
more in common with the targeted young people. Recently, however there is growing
recognition that peers might be an untapped source of mentors. While the term “peer”
connotes “of the same age”, mentoring peers are generally at least 2 years older than the
mentee. For example in the Big Brothers Big Sisters school-based programs, mentors tend to
be at least two grades higher (Herrera, Grossman, Kauh, & McMaken, 2011).
Mentors themselves also benefit from mentoring programs. The benefits of mentoring
are thought to include increased self-reflection, increased self-awareness, and improved
interpersonal and communication skills (Herrera et al., 2011). However, little research has
been conducted on understanding the true benefit that mentoring brings to mentors.
Program Design and Setting
Consensus suggests that the geographical location of a mentoring program has a
significant impact on its effectiveness (Pryce, Niederkorn, Goins, & Reiland, 2011). This
may be because of the cultural contexts within which these programs are implemented
(Farruggia, Bullen, Solomon, Collins, & Dunphy, 2011).
Research in this field has focused on school-based mentoring models, and very little
research has been conducted on programs in other environments. Offering mentoring sessions
in school has been found to help students to direct positive feelings about the program toward
the school, improving their overall attitude to school (King, Vidourek, Davis, & McClellan,
CHARACTERIZING MENTORING PROGRAMS 7
2002). This is reinforced by the focus of such programs on attendance and attainment.
Mentoring in schools has its limitations, however; for example, a school setting requires the
program to operate within the confines of the academic calendar. As a result, the mentoring
relationships rarely persist outside the academic calendar and are often less intensive
(Karcher, 2008; Portwood, Ayers, Kinnison, Waris, & Wise, 2005).
Research is increasingly focusing on community-based mentoring programs as an
alternative channel for promoting positive development (Tebes et al., 2007). Community
programs have several characteristics that could make them more effective than school-based
programs, such as longer meetings and mentee–mentor matches of longer duration. Evidence
suggests these might be a viable alternative to school programs, as it has been found that
community-based mentors spend twice as much time with their mentees as school-based
mentors do (Herrera, Sipe, & McClanahan, 2000; Portwood et al., 2005). Given that
relationships of longer duration have yielded better results, one might expect bigger impacts
from community-based programs (Grossman & Johnson, 1999).
Engagement with all stakeholders throughout the process has a positive impact on the
success of the program (Larose, Cyrenne, Garceau, Brodeur, & Tarabulsy, 2010). For
example, involving parents from the start in program design and implementation is beneficial
to the overall success of the program. Certain programs have found that non-supportive
parents can sabotage the mentoring relationships, so it is imperative to engage with parents
from the start (King et al., 2002; Sipe, 2002; Spencer, 2007).
Recruitment
Recruiting mentors and mentees is challenging. Little research has been dedicated to
finding out how best to recruit mentors and mentees. Most of the evidence is based on
working with groups who are able to engage relatively easily, but very little evidence is
available on the process of how to engage so-called hard-to-reach young people—those who
CHARACTERIZING MENTORING PROGRAMS 8
are alienated from educational experiences or other services for children and young people,
activities, or constructive leisure pursuits.
There is general agreement in the literature that it is important to screen prospective
mentors to ensure that they are able to persist in a relationship of longer duration (Barnetz &
Feigin, 2012; Sipe, 2002). In a qualitative study of early ending matches with 31 mentors and
mentees in two community-based mentoring programs, abandonment, lack of interest, and
unfulfilled expectations were identified as the major themes that contributed to prematurely
ending matches. Short-term relationships are associated with negative experiences; thus, it is
imperative that mentors and mentees are both invested and interested in participating in the
program in the long term (Spencer, 2007).
This is why some programs do not rely on chance and prefer to choose mentors on the
basis of recommendations from teachers (DuBois, 2002). Research has suggested that certain
young people with specific backgrounds, for example a helping professional background, are
more likely to be reliable mentors (Bodin & Leifman, 2011; Grossman, Chan, Schwartz, &
Rhodes, 2012). Other programs recruit mentors from the community surrounding the school
(King et al., 2002).
Other more basic factors may encourage participation. When running recruitment
workshops, it has been found that financial reimbursement of mentors and parents for
transportation, providing catering during the workshop, and other basic forms of assistance
may ensure participation and exposure far more than any program content (Pryce et al.,
2011).
Matching
In the studies included in this review, evidence suggests that mentors and mentees
need to be matched appropriately and thoughtfully (DuBois et al., 2002; Schwartz, Rhodes,
Spencer, & Grossman, 2013). The thinking is that having more common ground between
CHARACTERIZING MENTORING PROGRAMS 9
mentors and mentees is likely to make relationships more sustainable. In some programs,
professionals operating the programs are given the responsibility of making the matches after
giving them the opportunity to get to know the available mentors (Barnetz & Feigin, 2012).
Different programs have matched mentors and mentees according to different
characteristics, such as race, gender, or interests. Many programs match according to gender
and ethnicity for practical reasons or due to liability issues. Early research looking at the
effects of cross-ethnicity matches found no empirical evidence for matching according to
ethnicity. In a meta-analysis of matching, race or ethnicity was in fact found to be a predictor
of less favorable effects within the best-fitting model (DuBois et al., 2011). Inter-ethnicity
matches have been shown to be as close and supportive as same-ethnicity matches (Herrera et
al., 2000). The available evidence suggests that optimal matching of mentors and mentees,
however, requires going beyond demographic characteristics, and a deeper and more nuanced
consideration of compatibility.
Increasingly, research suggests that matching mentors and mentees based on similar
interests is more important. There is evidence to suggest that mentors who share similar
interests to their mentee feel closer and more emotionally supportive of their mentee
compared with mentors who do not share similar interests (DuBois et al., 2011; Herrera et al.,
2000; Jekielek et al., 2002). In addition, the evidence suggests that the perception of
similarity tend to foster higher quality and longer term relationships between mentors and
mentees (Ensher & Murphy, 1997; Madia & Lutz, 2004). There are several strategies to
achieve this, for example, by matching based on interests that are most relevant to program
goals, such as career interests in the case of a work-based mentoring program (Rollin, Kaiser-
Ulrey, Potts, & Creason, 2003).
CHARACTERIZING MENTORING PROGRAMS 10
While matching practices have shown to have an impact on the effectiveness of
mentoring relationships, the evidence suggests they are not as critical as screening, training,
and supervision (Herrera et al., 2000).
Training
The general consensus is that it is important to train mentors prior to any activities
(Barnetz & Feigin, 2012; Deutsch & Spencer, 2009; DuBois, 2002; King et al., 2002). It has
been found that mentors who are more confident and knowledgeable tend to have greater
success (Parra, DuBois, Neville, Pugh-Lilly, & Povinelli, 2002).
It is also agreed that ongoing training is imperative to sustaining mentoring
relationships and ensure good-quality relationships (DuBois et al., 2002). It is noteworthy
that providing ongoing training once relationships have begun is not common in mentoring
programs (DuBois et al., 2002). In a qualitative study, lack of mentoring skills was identified
as a major contributing factor to the premature ending of mentoring relationships. Problems
identified were lack of mentee focus, unrealistic or developmentally inappropriate
expectations of the mentee, and low awareness of the mentor’s personal biases and how
cultural differences shape relationships (Spencer, 2007).
Mentors might benefit from training on how to encourage mentees to sustain interest
in the mentoring relationship (Pryce et al., 2011) and to encourage them. As trust builds
between the mentor and the mentee, mentors can then work more independently with their
mentees (Liang, Spencer, West, & Rappaport, 2013).
It has been suggested that it may be of benefit to train other program staff to help in
instances where the mentor’s capacities may falter based on inexperience, fatigue, or
confusion within the complex process of mentoring (Pryce et al., 2011).
CHARACTERIZING MENTORING PROGRAMS 11
The Mentoring Relationship
Effective and enduring mentoring is associated with higher quality social
relationships, greater academic achievement, school engagement, school adjustment, and
more positive views of the future (Rhodes, Spencer, Keller, Liang, & Noam, 2006).
To date, many researchers have attempted to identify the components of mentoring
relationships that are essential for a high-quality mentoring relationship. The main
components of mentoring relationships identified as essential pertain to the youth’s
interpersonal history (Keller & Pryce, 2012), social competence, and developmental stage,
the duration of the mentoring relationship (DuBois & Silverthorn, 2005b; Hurd &
Zimmerman, 2014; Jekielek et al., 2002), program practices that help establish and support
the mentoring relationships, and the youth’s family and surrounding community (DuBois et
al., 2011).
Approaches to the mentoring relationship
Researchers have found that different approaches to mentoring relationships may have
different effects on the success of the relationship. Two main different approaches have been
identified: the developmental approach and the prescriptive approach. In the developmental
approach, mentors initially devote their efforts to building a relationship with the mentee. The
mentor’s perception of the needs of the mentee varies over time. In the prescriptive approach,
the focus is on goals rather than the mentee’s subjective needs. According to this approach,
mentors require the mentee to take equal responsibility for maintaining the relationship.
Research has found that mentees in relationships with mentors who take a more
developmental approach are more satisfied with their relationship and feel closer to their
mentors (Deutsch & Spencer, 2009; Karcher & Nakkula, 2010). This is also true for mentees
whose mentors engage in social activities with them. Engaging youth is not only enjoyable
CHARACTERIZING MENTORING PROGRAMS 12
for the mentor; for the mentee, being given challenging tasks over which they feel a sense of
ownership can serve to promote positive development (Deutsch & Spencer, 2009).
It is also important to consider the type of mentoring relationships the program is
aiming to foster (Spencer, 2004). Research has focused primarily on “formal” mentoring
relationships, which are artificially put in place by a school or external agency. Recently,
however, it has been found that natural mentoring relationships—that is, relationships that are
formed authentically without the help of a school or external agency—may be more
important, as they tend to be relationships that last longer and occur more frequently (DuBois
& Silverthorn, 2005b; Zimmerman, Bingenheimer, & Behrendt, 2005). Existing evidence
suggests that natural mentoring relationships have positive benefits on a range of health-
related outcomes for the mentee (DuBois & Silverthorn, 2005b).We can therefore learn a lot
from examining natural mentoring relationships (DuBois & Silverthorn, 2005b)
Relationship duration
Research suggests that the duration of the mentoring relationship has a significant
impact on its effectiveness (DuBois & Silverthorn, 2005a; Grossman et al., 2012; Herrera et
al., 2011). An analysis of the Big Brothers Big Sisters of America mentoring program found
that beneficial effects were progressively greater as relationships persisted for longer periods
of time. By contrast, mentees in relationships that terminated in less than 3 months showed
declines in some areas (e.g. self-esteem) in comparison with the control group, where no
mentoring took place (Herrera et al., 2011). This evidence suggests that, while enduring
mentoring relationships bring additional benefits, short-lived relationships can actually be
harmful.
Our understanding of the relationship characteristics that are predictive of better
outcomes—such as frequency of contact, emotional closeness, and relationship longevity— is
CHARACTERIZING MENTORING PROGRAMS 13
largely based on qualitative research rather than empirical data. This is perhaps unsurprising
given the difficulties in rigorously assessing the quality of mentoring relationships.
Support for Mentors/Mentees
Support for mentors
The general consensus from the literature is that mentors need ongoing support
throughout the mentoring relationship. This is essential because programs in which mentors
quit prematurely or which provide only short-term mentoring (i.e., 6 months or shorter) have
been associated with negative outcomes (Karcher, 2008).
Structured recreational opportunities and involvement in community-based learning
opportunities seem to provide focus and motivation (Smith, 2007). In the initial stages,
supporting staff might involve providing structured experiences in the form of ice-breakers,
or small-group problem-solving activities during collaborative meetings with mentors and
mentees. The aim is to build some small achievements that develop a sense of mastery among
mentors (Liang et al., 2013).
Providing ongoing support also entails supervision of the mentoring relationships and
monitoring the fidelity of program implementation (DuBois, 2002). It is also an opportunity
to communicate guidelines and help manage mentors’ expectations (DuBois et al., 2002).
Support for mentees
Mentoring has traditionally involved one-to-one relationships, but in efforts to serve
more young people, agencies have developed several innovative approaches to mentoring
such as group mentoring. In the past, program organisersresisted group approaches due to the
risk of contagion among mentees with similar risk factors (Dishion, McCord, & Poulin,
1999). In addition, there are concerns that group mentoring will expose mentees to negative
experiences, such as exclusion from group interactions. The largest study of group mentoring
could not calculate an impact due to the small sample size. However, the authors did find that
CHARACTERIZING MENTORING PROGRAMS 14
mentees participating in group mentoring reported less closeness to mentors, and it seems,
therefore, that group programs may be more beneficial in improving peer relationships and
social skills (Herrera, Vang, & Gale, 2002).
Similarly, mentors cannot provide as much individual attention to individual young
people in a group setting, which may prevent or limit the development of mentor–mentee
relationships (Herrera et al., 2002). However, other authors have more recently argued that
group mentoring may be an effective strategy due to its influence on social skills and focus
on relationship building (Karcher, Kuperminc, Portwood, Sipe, & Taylor, 2006). It has also
has been suggested that group mentoring may constitute a way of reaching young people who
have not been reached by traditional programs owing to discomfort with meeting one-on-one
with their mentor. There is growing evidence that a combination of both group and traditional
approaches may mutually reinforce the mentoring relationship and act in a synergistic fashion
(Pryce, Silverthorn, Sanchez, & DuBois, 2010).
Some researchers have highlighted that it is important to host structured activities for
mentors and mentees to support the development of the mentoring relationship (DuBois,
2002; DuBois et al., 2002; Faith, Fiala, Cavell, & Hughes, 2011). Evidence suggests that
efforts to incorporate more structured teaching or advocacy activities into the work that
mentors do with mentees has a positive impact. Advocacy activities may include helping
young people secure a job and improve academically (DuBois et al., 2011).
Evaluation
Evaluating mentoring programs is important to capture the major findings and the lessons
learned. Many mentoring programs are not fully evaluated, and even when they are, findings
are often not described in detail. However, there is a consensus that evaluators should be
included in the planning stages of a mentoring program, as it is useful to incorporate
evaluative procedures into the core structure of programs themselves (King et al., 2002;
CHARACTERIZING MENTORING PROGRAMS 15
Scannapieco & Painter, 2013). Data should be collected and analyzed in an ongoing process
for continuous quality improvement (Parra et al., 2002; Scannapieco & Painter, 2013).
Research suggests that comparative tests of alternative program models or practices are likely
to be the most useful (DuBois et al., 2011; Pryce et al., 2010). Unfortunately, such
evaluations are currently rare.
Design of the evaluation studies varies, but all evaluations use some variation of
routine outcome monitoring (Coller & Kuo, 2014; Taussig, Culhane, Garrido, & Knudtson,
2012; Thomas, Lorenzetti, & Spragins, 2013). Unsurprisingly, measures used also vary
greatly. Some studies have used more straightforward measures such as academic
achievement and others used validated measures of competencies such as the 25-SF
Coopersmith Self-Esteem Inventory.
Discussion
This review presents the findings from the current best available academic literature
on what factors are key to delivering successful mentoring programs. Despite the limited
availability of academic literature on correlates of good outcomes in mentoring programs,
there is evidence that certain practices lead to such programs being more effective.
In terms of the target population, young people who present with more intermediate
levels of challenge should be targeted, as they are more likely to benefit from mentoring
programs (DuBois & Karcher, 2013). Peers are a potential source of mentors that should be
considered, but the evidence suggests that the peers should be older than the mentees
(Herrera et al., 2011). The setting of the mentoring program has an important impact on the
efficacy of the intervention, but it is unclear which setting is the most effective (Portwood et
al., 2005). Mentoring programs should include routine outcome monitoring for both mentors
and mentees (Coller & Kuo, 2014). This facilitates both continuous improvement of a
program and also comparison with other programs.
CHARACTERIZING MENTORING PROGRAMS 16
Screening prospective mentors and mentees is important for the effectiveness of the
mentoring program. The evidence suggests that recruiting mentors with specific backgrounds,
such as people with a helping background, increases the likelihood of enduring relationships.
It is also important to consider the basic factors that may encourage participation (Bodin &
Leifman, 2011). These include financial reimbursement, food, access, and transportation
(Pryce et al., 2011). Matching of mentors to mentees should also be carefully considered, as,
on the basis of the published literature, matching based on demographic characteristics
appears to have a limited impact on the effectiveness of the mentoring relationship. Matching
the basis of perceived similarity, in terms of personality or interests, seems to be important
(DuBois et al., 2011).
Mentoring programs need to consider how to promote effective mentoring
relationships. Effective mentors should have sufficient training and support to be able to
develop effective mentoring relationships. Evidence suggests that training mentors before
beginning any activities and providing ongoing training is essential to the delivery of an
effective mentoring program (DuBois, 2002). Experiential learning involving the mentor and
mentee can be an effective way of providing ongoing training. Evidence suggests that
mentors should take a developmental and not a prescriptive approach to the mentoring
relationship (Deutsch & Spencer, 2009). Effective mentoring relationships take time to
develop and last a significant amount of time. Mentors need ongoing support if they are to
build effective and safe relationships with their mentees. It is important to host structured
activities for mentors and mentees to support the development of the relationship (Faith et al.,
2011). Programs should make use of both one- to-one and group activities, as they promote
different competencies.
There are limitations to this review; most studies included are observational studies
and thus present hypotheses only about the characteristics of effective mentoring programs.
CHARACTERIZING MENTORING PROGRAMS 17
This is often because the focus of an evaluation study is on the effectiveness of mentoring
rather than the effectiveness of the delivery of the program. Within each component of a
program, existing approaches that have been observed to be correlates of good outcomes need
to be tested in a systematic way. As such, there is a need for more randomized control trials
to test competing delivery approaches in order to understand which program approaches are
the most effective.
Due to the lack of strong evidence concerning the effective components of mentoring
programs, there may be lessons that can be learned from other bodies of literature around
how to deliver programs to children and adolescents to promote their mental wellbeing.
Mentoring is believed to be one of the most important methods of encouraging positive youth
development (Maslow & Chung, 2013; Theokas & Lerner, 2006). As such, perhaps the
lessons from the literature on programs promoting positive youth development could also be
examined to learn what program practices are effective. The literature around how best to
promote positive youth development is more extensive than that concerning mentoring
programs.
Conclusion
This study presents the results of a literature search pertaining to the delivery of
mentoring programs to children and adolescents to promote mental wellbeing. The review
revealed that there are lessons to be drawn from the mentoring literature despite the academic
literature on what makes a mentoring program effective being limited. These lessons may
include recruiting mentees with intermediate levels of difficulties, providing ongoing training
and support to mentors, matching mentors and mentees on personality styles, fostering an
effective mentor–mentee relationship, and routine outcome monitoring to ensure continual
evaluation. However, further research needs to be conducted to compare different variations
of practices in mentoring programs, to establish which practices are the most effective.
CHARACTERIZING MENTORING PROGRAMS 18
Mentoring program providers should also consider disseminating the lessons they have
learned from their experience of delivering a mentoring program via publications in the
academic literature, as this would add valuable knowledge to the understanding of what
impact mentoring programs can have on children and adolescents. Mentoring providers
should also consider examining the positive youth development literature, which is more
extensive, as it would be useful to understand mentoring programs in the context of positive
youth development.
CHARACTERIZING MENTORING PROGRAMS 19
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CHARACTERIZING MENTORING PROGRAMS 25
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CHARACTERIZING MENTORING PROGRAMS 26
Figure 1. Flow Diagram Showing the Identification of Studies in the Literature Search
CHARACTERIZING MENTORING PROGRAMS 27
Table 1
Characteristics referred to in each mentoring program study
Study Target
Group
Program design
and setting
Recruitment Matching Training The mentoring
relationship
Support Evaluation
Barnetz and Feigin (2012) – – + + + – + –
Bodin and Leifman (2011) + – + – – + – +
Coller and Kuo (2014) – – – – – – – +
Drexler et al. (2011) + + – – – – – –
DuBois and Silverthorn (2005a) + – – – – + – –
Faith et al. (2011) – – – – + – + –
Herrera et al. (2011) – + + – – + – –
Karcher (2008) + + – – – + + –
Keller and Pryce (2012) – – – – – + – –
King et al. (2002) + + + – + – – +
Larose et al. (2010) – + – – – + – –
Parra et al. (2002) – – – – + – + +
Portwood et al. (2005) – + – – – – – –
Pryce et al. (2010) – – – – + + + –
Scannapieco and Painter (2013) – – – – – – + +
Schwartz et al. (2011) + – – – – – – –
Schwartz et al. (2013) – – – + – – – –
CHARACTERIZING MENTORING PROGRAMS 28
Table 2
Supplementary information on papers reviewed
Study Aims Participants Primary Outcome Duration Evaluation
Design
Barnetz and
Feigin (2012)
To understand the nature of the
mentor–mentee relationship in helping
mentees cope with the challenges of
diabetes. Evaluation study of a
mentoring program for adolescents
with juvenile diabetes which aims to
create motivation.
Age: 10–17 years
Gender: boys/girls
Size of study (n): 24
Found three themes to be important:
main mentor-mentee relationship
patterns, the central importance of the
mentee’s observation of the mentor’s
behavior and the emotional effects of
the encounter with the mentor
3 years Observational
study (pre–post
comparison)
Bodin and
Leifman (2011)
Randomized effectiveness trial of an
adult-to-youth mentoring program
aimed to prevent substance use in low-
risk youth in Sweden.
Age: 14 years
Gender: mixed
Size of study (n): 128
Best practices such as using mentors
with a helping professional
background, an ongoing training of
mentors and close monitoring of the
mentoring relationship may be crucial
for successful program
implementation.
12 months Randomized
controlled trial
Coller and Kuo
(2014)
Evaluation study of a school-based
youth empowerment mentorship
program among Latino children.
Age: 10 years
Gender: mixed
Size of study: 122
After 5 years, the program became a
feasible and sustainable school-based
mentoring program providing long-
term relationships for low-income
Latino children.
5 years Observational
study
(retrospective)
Drexler et al.
(2011)
Evaluation study of a mentoring
program aiming to strengthen basic
competencies and health-related
quality of life of elementary school
children.
Average age: 8 years
Gender: mixed
Size of study (n): 141
The mentoring program was able to
strengthen basic competencies and
their health-related quality of life and
prevent hazardous health
characteristics.
1 year Observational
study
CHARACTERIZING MENTORING PROGRAMS 29
DuBois and
Silverthorn
(2005a)
To determine the impact of natural
mentoring relationships on health-
related outcomes among older
adolescents and young adults.
Age: 18–26 years
Gender: mixed
Size of study: (n): 3,187
Mentoring relationships are not enough
to meet the needs of at-risk youths and
therefore should be incorporated into
more comprehensive interventions.
– Cross-sectional
survey
Faith et al. (2011) To determine whether mentoring
highly aggressive children was
associated with changes in mentor’s
attitudes, personality and attachment
tendencies.
Average age: 8 years
Gender: mixed
Size of study: (n): 102
Results indicated that there was an
impact on the mentor’s self-reported
self-efficacy, openness, and
agreeableness.
12 months Observational
study (pre–post
comparison)
Herrera et al.
(2011)
To determine the impact of the Big
Brothers Big Sisters school-based
mentoring program.
Average age: 11 years
Gender: mixed
Size of study (n): 1,139
Mentored youths performed better
academically but did not show
improvements in classroom effort, self-
worth and rates of problem behavior.
12 months Randomized
controlled study
Karcher (2008) Randomized evaluation of the
effectiveness of a school-based support
service.
Average age: 13 years
Gender: mixed
Size of study (n): 516
Mentoring providers should provide
mentors to the youth most likely to
benefit and bolster program practices
that help to support and retain mentors.
1 year Randomized
controlled study
Keller and Pryce
(2012)
To determine the natural of joint
activities between mentors and
mentees and relationship quality.
Average age: 10 years
Gender: mixed
Size of study (n): 70
Findings suggest effective mentoring
relationships are a hybrid between
friendly horizontal relationships and
the different vertical relationships.
1 year Observational
study
King et al. (2002) Evaluation study of a mentoring
program, Healthy Kids, in fostering
self-esteem and positive school, peer
and family connections.
Average age: 10 years
Gender: mixed
Size of study (n): 28
Significant improvements in self-
esteem post-test and significantly less
likely to be depressed or involved in
bullying or fighting.
5 months Observational
study (pre–post
comparison)
Larose et al.
(2010)
Evaluation of an academic mentoring
program for late adolescents.
Average age: 17 years
Gender: mixed
Size of study (n): 307
Structured activities and directive
mentoring approaches see to lead to
more successful outcomes in more
structured programs.
1 year Observational
study
Parra et al. (2002) To investigate the use of a process-
oriented model of mentoring.
Average age of mentees: 10 years
Gender: mixed
Size of study (n): 50
Mentor’s efficacy predicted greater
contact with mentees and more positive
experiences.
1 year Observational
study
CHARACTERIZING MENTORING PROGRAMS 30
Portwood et al.
(2005)
Evaluation of YouthFriends, a school-
based mentoring program.
Age of mentees: 8–18 years
Gender: mixed
Size of study (n): 208
Significant difference (pre–post test)
for students receiving mentoring on
sense of school membership.
1 year Observational
study (pre–post
comparison)
Pryce et al.
(2010)
Evaluation of a mentoring program for
early adolescent girls with a focus on
the mentoring relationship.
Average age of mentees: 8–18
years
Gender: Female
Size of study (n): 20
Can deliver mentoring activities that
are goal-oriented while simultaneously
youth-focused and playful.
1 year Observational
study
Scannapieco and
Painter (2013)
Evaluation of a youth in foster care
mentoring pilot program.
Age of mentees: 14+ years
Gender: Mixed
Size of study (n): 200
Mentoring programs should be
encouraged for youth aging out of
foster care.
1 year Observational
study (non-
experimental
survey)
Schwartz et al.
(2011)
A randomized study of Big Brothers
Big Sisters, a school-based mentoring
program looking at the association
between youth’s relationship profiles
and mentoring outcomes.
Age of mentees: 10–15 years
Gender: mixed
Size of study (n): 1,139
Mentoring was found to have different
effects depending on the youth’s initial
approach to relationships.
1 year Randomized
controlled study
Schwartz et al.
(2013)
Investigating youth initiated mentoring
as a new approach to mentoring.
Age of mentees: 16–18 years
Gender: mixed
Size of study (n): 1,173
Results revealed that relationships were
more likely to endure when youth
chose their mentors on their own.
3 years Observational
study