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Published Online: 1 June 2017

Trainer Fidelity as a Predictor of Crisis Counselors’ Behaviors With Callers Who Express Suicidal Thoughts

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Abstract

Objective:

The relationship between trainer fidelity during a two-day suicide prevention program for counselors at crisis centers and counselors’ behaviors during calls from individuals with suicidal thoughts was examined.

Methods:

The study used two data sets from a randomized control trial of a suicide prevention program delivered by counselors at 17 crisis centers who had previously received training (train-the-trainer [TTT] approach). One data set examined counselors’ behaviors by silently monitoring calls (N=764) to the crisis lines, and one assessed adherence to manual content and competence in delivery among trainers (N=34) by coding training videotapes. Multilevel modeling was used to account for nested data.

Results:

Use of recommended behaviors by counselors was primarily related to trainers’ competence in delivery of the program rather than adherence to the program content.

Conclusions:

Trainer selection for competence may be particularly critical for group-based TTT programs involving experienced counselors and the use of experiential activities.
Suicide is a significant public health problem in the United States. It is the tenth leading cause of death for adults overall, with higher rates among youths and older adults (1). Telephone crisis lines are an important component of the national suicide prevention strategy (2). The National Suicide Prevention Lifeline is a network of over 160 community crisis centers that have served over three million callers since the network’s inception in 2005. Crisis counselors must be well trained to assess and intervene with callers who communicate suicidal thoughts and feelings (3).
Gould and others (4) conducted the first national randomized controlled trial (RCT) to study whether a crisis center training program increased the effectiveness of Lifeline’s telephone crisis services. The program, LivingWorks’ Applied Suicide Intervention Skills Training (ASIST) (5), is a broadly disseminated suicide prevention training program that uses a train-the-trainer (TTT) model.
The study used a dynamic waitlisted “roll out” design (6) in which ASIST TTT was offered during three different time frames to 17 crisis centers; the centers were randomly assigned to the first, second, or third time frame. Two staff members from each center participated in a five-day training program to learn to be ASIST trainers during two-day programs. These trainer pairs then delivered the group-based program to crisis counselors at their home centers. Crisis calls were reliably “silent monitored” at each center before and after training. The silent monitors were blind to the identity of the center and to whether the monitored crisis counselors had received ASIST. The monitoring tool assessed behaviors by the counselors, including global positive behaviors (for example, empathic behavior), negative behaviors (for example, judgmental behavior), overall effectiveness, and behaviors consistent with the ASIST program, as well as duration of the calls and caller behaviors. Multilevel modeling was used to analyze outcome data derived from 1,507 monitored calls from 1,410 suicidal individuals nested within the crisis centers.
Results showed that counselors who had received ASIST were more likely than those who had not received ASIST to link the callers’ invitations (verbal cues about suicide) to suicidal thoughts, explore reasons for living, explore ambivalence about dying, and explore whether informal support contacts were part of the callers' safeplans. Callers who spoke with ASIST-trained counselors were rated as less depressed, suicidal, and overwhelmed by the end of their calls compared with callers who had not spoken with an ASIST-trained counselor. However, ASIST-trained counselors were not more likely to carry out more comprehensive suicide risk assessments compared with counselors who had not received ASIST training, nor were they more likely to ask about or explore the callers’ current suicide plans, ask about or explore preparatory behaviors or actions, ask about or explore intent, or ask about or explore prior suicide thoughts or attempts. Also, they were not rated as having engaged in more positive behaviors overall or as having provided more effective interventions.
Simultaneous with this outcome study, Cross and others (7) investigated fidelity to ASIST among trainers who were trained, via TTT, to deliver subsequent training to counselors in their home centers. Cross and colleagues analyzed videotapes of the trainers as they delivered the two-day ASIST program to counselors at their centers. Consistent with the literature (8,9), trainer fidelity was defined as adherence to the manual content and competence in program delivery (quality of presentation). Seven segments of the program (exploring invitations, asking about suicide, listening to reasons for living/dying, contracting a safeplan, process of intervention, ambivalence simulation/role-play, and bridge simulation/role-play) were coded by using a segment-specific trainer adherence measure (reflecting content for each of the seven segments) and one trainer competence measure was used for all segments. Almost 50% of the videotapes were double-coded for interrater reliability, which was high for both adherence and competence (average intraclass correlation, .80–.98 and .71–.92, respectively).
Ratings were analyzed for 66 training sessions conducted by 34 trainers at the 17 centers, for a total of 324 recorded observations representing the seven training segments. Results showed that the majority of trainers were adherent to the program content and delivered two-thirds or more of the intervention content to counselors. Competence ratings were lower than adherence ratings, with 18% of observations rated as solidly capable. Ratings were lowest for interactive training activities (role-playing). Previous suicide prevention training was associated with lower levels of trainer adherence.
To address a critical gap in our understanding about the implementation of TTT programs in real-world settings, this study combined data from these two published studies to examine the relationship between trainer fidelity (measured by adherence and competence) and program outcomes (measured by counselor behaviors with callers expressing suicidal thoughts). We hypothesized that higher levels of trainer adherence and higher competence ratings would be associated with improved counselor behaviors on calls after ASIST training.

Methods

Only posttraining outcome data were included in the analyses because outcome data that preceded the ASIST training was not relevant to linking outcomes and fidelity. We first aligned the silent-monitored outcome variables from 764 calls with the relevant segments of the training and the fidelity ratings of the trainer who trained counselors in the center. For example, the segment of the training that focuses on engaging suicidal individuals in a discussion about reasons for living corresponds to a silent-monitored outcome variable. Each segment yielded trainer fidelity scores (adherence and competence) that were examined in terms of associated outcome variables. Four of the seven segments produced significant results: asking about suicide, contracting a safeplan, process of intervention, and bridge simulation. As the final segment of ASIST, bridge simulation is a highly interactive role-playing technique that incorporates all of the knowledge and skills imparted by the trainers. Therefore, we examined all of the outcome variables with this segment’s fidelity scores.
The RCT protocol was approved by the Institutional Review Board (IRB) of the New York State Psychiatric Institute and Columbia University. This study was approved by the University of Rochester IRB.
The generalized estimating equation (GEE) analysis was employed to address clustered data resulting from the nested study design (counselors nested within centers) and because it is considered preferable to a parametric alternative such as a generalized linear mixed-effects model (10). Variability in number of calls received by counselors was addressed by weighting each center by using the reciprocal of the number of calls from the center. The effect of trainer adherence with and competence in specific segments on counselor behaviors during the calls (for example, asking about current suicidal thoughts and safeplan elements), positive counselor behaviors, negative counselor behaviors, and a global rating of overall effectiveness were examined. The identity, logit, or log link was used depending on whether the outcome was treated as a continuous, binary, or count response. If a categorical outcome had more than two categories, we fit the multinomial response model or the proportional odds model, the latter of which is a simplified version of the multinomial response model, if assessment by goodness-of-fit tests indicated that the latter model was more appropriate (10). Some outcomes had a large percentage of 0 scores (for example, 80% of outcomes for negative counselor behaviors were rated 0, or “not at all”); the hurdle model was used to fit such outcomes. The hurdle model has two components: the logistic component models the effect of adherence and competence on the probability of whether counselors have negative behaviors (1 versus 0), and the Poisson component models the effect of adherence and competence on the variability of negative behaviors (number of negative behaviors) for the subgroup of counselors with recorded negative behavior. For binary and categorical responses, the lowest level was set as the reference level.
All statistical tests were two sided; p values of <.05 were considered statistically significant. All statistical analyses used SAS, version 9.3.

Results

Table 1 presents results for all segments. GEE estimates (betas) show that 12 of the 16 significant findings are for ASIST trainer competence. For example, higher observed trainer competence in the asking about suicide segment was associated with greater instances of counselors asking about prior suicidal thoughts and current plans. ASIST trainer competence during the bridge simulation segment was also associated with counselors reminding callers of past survival skills and identifying personal and formal resources. Greater trainer adherence during the bridge simulation was positively associated with the counselor asking about or exploring suicidal actions with callers and exploring ways for callers to manage psychological pain. Two significant findings for adherence during the bridge simulation were not in the expected direction: the more adherent the ASIST trainer, the less likely counselors were to explore prior suicide attempts, and the rare instances of negative counselor behaviors were associated with greater trainer adherence.
TABLE 1. Relationship between outcomes during calls to a crisis center after counselors completed a suicide prevention training program and trainers’ adherence to the program manual and competence with program delivery, by training segmenta
 AdherenceCompetenceAdherenceCompetence
OutcomeBpBpBpBp
Generalized estimating equation analysis
 Asking about suicide segmentBridge simulation segment
Counselor asked about/explored        
 Current suicide thoughtsb–.018.20.200.06–.007.75.115.45
 Prior suicide thoughts–.025.09.258.01–.010.27.074.46
 Prior attempts–.010.31.106.43–.025.02.179.17
 Plans–.003.68.238<.01.012.16.001.99
 Actions.005.68–.006.95.023.01.003.97
 Intent to die.001.95.024.73.015.09.009.93
 Safeplan segmentBridge simulation segment
Mental health services used–.001.95.101.32.009.43.096.42
Safeplan element        
 Explored ways to manage caller psychological pain.014.09–.060.46.018.04–.057.46
 Reminded caller of past survival skills–.023.12.170.26–.006.68.304.03
 Safe/no use of alcohol/drugs–.010.72–.172.43–.004.87–.116.45
 Tried to ensure caller not alone.010.34–.002.99.007.55–.002.99
 Informal safety contactsb–.001.91–.098.18.003.76–.119.28
 Personal resources identified as part of safety plan–.006.42.109.01.004.59.092<.01
Formal resources identified.006.43.038.49–.003.56.085.01
 Process of intervention segmentBridge simulation segment
Counselor behavior: counselor “in sync” with caller–.035.12.294<.01–.008.71.357.06
 Exploring invitationsBridge simulation segment
Total number of invitations revealed by callerb.023.16–.462.08.013.38.122.18
Counselor tried to link caller’s invitations/problems to suicide–.008.19.017.85.001.94.125.02
 Listening to reasons segmentBridge simulation segment
Reasons for dying identified.005.44–.077.17.007.30.002.97
Ambivalence identified/reviewedb–.004.67.013.90.003.75.250.16
Reasons for living identified/ reviewedb.013.11–.048.40.012.12–.064.32
 Ambivalence simulation segmentBridge simulation segment
Ambivalence identified/ reviewedb–.006.66.043.70.003.75.250.16
  Bridge simulation segment
Call durationb    .127.06.408.54
Poisson models
  Bridge simulation segment
Positive counselor behaviorsc    –.006.74.141.38
Negative counselor behaviorsd    .011.01–.122<.01
Multinomial response modelse
  Bridge simulation segment
Counselor behavior: overall effectiveness of intervention (reference: 1, very ineffective)        
 2    .012.51.205.07
 3    –.003.85.448<.01
 4    –.008.62.308<.01
 5, very effective    .006.71.260.01
a
Training segments included exploring invitations, asking about suicide, listening to reasons for living/dying, contracting a safeplan, process of intervention, ambivalence simulation/role-play, and bridge simulation/role-play. Blank cells are due to the variables being analyzed only with the bridge simulation segment.
b
Significant differences were found between counselors who completed training and counselors who did not complete training (4).
c
Included reflecting back caller’s feelings, being respectful, connecting/establishing rapport with caller
d
Included being condescending, disempowering caller, and being judgmental. The negative estimate here indicates fewer negative counselor behaviors. A logit model was also used and generated an estimate of .003 (p=.81) for adherence and an estimate of .108 (p=.51) for competence.
e
Overall effectiveness results: χ2=8.45, p=.08 (adherence); χ2=21.66, p<.01 (competence). p value was determined with chi-square analysis

Discussion

This is the first study to examine the relationship between trainer fidelity and suicide prevention program outcomes among crisis hotline counselors in the context of a TTT model. Overall, we found that trainer competence, more than trainer adherence, was associated with better performance by crisis line counselors with callers who expressed thoughts of suicide. Greater trainer adherence to program content was actually predictive of poorer outcomes in two cases.
How do we account for the finding that program content had little impact on counselor behaviors? One factor may be that these counselors were already working on the crisis line and had prior experience in suicide prevention. They, like experienced clinicians who resist learning new interventions (11), may not have been persuaded to adopt new information or practices. Moreover, consistent with previous findings that strict adherence to an intervention’s manual may be associated with poorer therapeutic outcomes (12), adherence to the ASIST program had a deleterious effect on some counselor outcomes. Future studies should study outcomes for novice counselors without prior experience or training. The reason for the positive impact of trainer competence on counselor outcomes is not known; however, it is consistent with the finding that therapist competence (but not adherence) predicted positive outcomes among adolescents in substance abuse treatment (13). Future studies on the relative importance of competence and adherence in a variety of training contexts are needed to address this gap.
Regarding limitations of the study, we did not have individual counselor or trainer data, such as the amount, type, or duration of previous crisis training. Nor did we have data on job duration or status (volunteer or paid) or center culture or climate. These factors may moderate the relationship between trainer fidelity and outcomes. We also did not have information about modifications (14) that the trainers may have made to the ASIST program.

Conclusions

Trainer competence was positively associated with counselors’ use of detailed risk assessment (asking about suicide thoughts and plans) and safety planning (identifying resources) with callers who expressed suicidal thoughts. ASIST trainer delivery is more important than program content when the “end users” are suicide crisis line counselors. Our results are consistent with findings by Gould and others (4) that ASIST-trained counselors were not significantly more likely than counselors who had not received ASIST to ask about or explore a caller’s current suicide plans, preparatory behaviors intent, or prior suicide thoughts or attempts. In this study, adherence to ASIST per se, as opposed to trainer competence, was not associated with more comprehensive risk assessments. The implication of this finding is that programs should prioritize the selection of trainers who have group facilitation skills, are comfortable directing experiential learning activities, and are willing to embrace new program content.

References

1.
Injury Prevention and Control: Data and Statistics (WISQARS). Atlanta, Centers for Disease Control and Prevention. Available at https://www.cdc.gov/nchs/fastats/suicide.htm. Accessed March 6, 2016
2.
A Prioritized Research Agenda for Suicide Prevention: An Action Plan to Save Lives. Rockville, MD, National Institute of Mental Health and the Research Prioritization Task Force, 2014
3.
Pompili M, Belvederi Murri M, Patti S, et al: The communication of suicidal intentions: a meta-analysis. Psychological Medicine 46:2239–2253, 2016
4.
Gould MS, Cross W, Pisani AR, et al: Impact of Applied Suicide Intervention Skills Training (ASIST) on national suicide prevention Lifeline counselor interventions and suicidal caller outcomes. Suicide and Life-Threatening Behavior 6:676–691, 2013
5.
Ramsay RF, Tanney BL, Lang WA, et al: Applied Suicide Intervention Skills Training (ASIST): Trainer Manual, Edition X.2 BETA. Calgary, Alberta, Canada, LivingWorks Education, 2010
6.
Brown CH, Wyman PA, Guo J, et al: Dynamic wait-listed designs for randomized trials: new designs for prevention of youth suicide. Clinical Trials 3:259–271, 2006
7.
Cross W, Pisani A, Schmeelk-Cone K, et al: Fidelity assessment of the transfer of training in a suicide prevention program for crisis hotlines. Crisis 35:202–212, 2014
8.
Bjaastad JF, Haugland BS, Fjermestad KW, et al: Competence and Adherence Scale for Cognitive Behavioral Therapy (CAS-CBT) for anxiety disorders in youth: psychometric properties. Psychological Assessment 28:908–916, 2016
9.
Webb CA, Derubeis RJ, Barber JP: Therapist adherence/competence and treatment outcome: a meta-analytic review. Journal of Consulting and Clinical Psychology 78:200–211, 2010
10.
Tang W, He H, Tu XM: Applied Categorical and Count Data Analysis. Boca Raton, FL, Chapman and Hall/CRC, 2012
11.
Wiltsey-Stirman S, Miller CJ, Toder K, et al: Perspectives on cognitive therapy training within community mental health settings: implications for clinician satisfaction and skill development. Depression Research and Treatment, 2012 (doi 10.1155/2012/391084)
12.
James IA, Blackburn IM, Milne DL, et al: Moderators of trainee therapists’ competence in cognitive therapy. British Journal of Clinical Psychology 40:131–141, 2001
13.
Campos-Melady M, Smith JE, Meyers RJ, et al: The effect of therapists’ adherence and competence in delivering the adolescent community reinforcement approach on client outcomes. Psychology of Addictive Behaviors 31:117–129, 2017
14.
Wiltsey-Stirman S, Gutner CA, Crits-Christoph P, et al: Relationships between clinician-level attributes and fidelity-consistent and fidelity-inconsistent modifications to an evidence-based psychotherapy. Implementation Science 10:115–125, 2015

Information & Authors

Information

Published In

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Cover: Birmingham Breakdown #2, by Craig Moran, 2010. Oil on canvas. Collection of the artist, Washington, D.C.

Psychiatric Services
Pages: 1083 - 1087
PubMed: 28566029

History

Received: 12 September 2016
Revision received: 11 January 2017
Accepted: 17 February 2017
Published online: 1 June 2017
Published in print: October 01, 2017

Keywords

  1. Staff training/inservice, Suicide
  2. Crisis Lines, Fidelity

Authors

Details

Wendi F. Cross, Ph.D. [email protected]
Dr. Cross and Dr. Schmeelk-Cone are with the Department of Psychiatry, University of Rochester Medical Center, Rochester, New York. Dr. Chen is with the Department of Mathematics and Statistics, College of Natural Sciences and Mathematics, University of Toledo, Toledo, Ohio. Dr. Tu is with the Department of Family Medicine and Public Health, University of California, San Diego, La Jolla. Ms. Kleinman and Dr. Gould are with the Department of Child Psychiatry, New York State Psychiatric Institute, New York. Dr. Gould is also with the Department of Child Psychiatry and Epidemiology, School of Public Health, Columbia University College of Physicians and Surgeons, New York.
Tian Chen, Ph.D.
Dr. Cross and Dr. Schmeelk-Cone are with the Department of Psychiatry, University of Rochester Medical Center, Rochester, New York. Dr. Chen is with the Department of Mathematics and Statistics, College of Natural Sciences and Mathematics, University of Toledo, Toledo, Ohio. Dr. Tu is with the Department of Family Medicine and Public Health, University of California, San Diego, La Jolla. Ms. Kleinman and Dr. Gould are with the Department of Child Psychiatry, New York State Psychiatric Institute, New York. Dr. Gould is also with the Department of Child Psychiatry and Epidemiology, School of Public Health, Columbia University College of Physicians and Surgeons, New York.
Karen Schmeelk-Cone, Ph.D.
Dr. Cross and Dr. Schmeelk-Cone are with the Department of Psychiatry, University of Rochester Medical Center, Rochester, New York. Dr. Chen is with the Department of Mathematics and Statistics, College of Natural Sciences and Mathematics, University of Toledo, Toledo, Ohio. Dr. Tu is with the Department of Family Medicine and Public Health, University of California, San Diego, La Jolla. Ms. Kleinman and Dr. Gould are with the Department of Child Psychiatry, New York State Psychiatric Institute, New York. Dr. Gould is also with the Department of Child Psychiatry and Epidemiology, School of Public Health, Columbia University College of Physicians and Surgeons, New York.
Xin Tu, Ph.D.
Dr. Cross and Dr. Schmeelk-Cone are with the Department of Psychiatry, University of Rochester Medical Center, Rochester, New York. Dr. Chen is with the Department of Mathematics and Statistics, College of Natural Sciences and Mathematics, University of Toledo, Toledo, Ohio. Dr. Tu is with the Department of Family Medicine and Public Health, University of California, San Diego, La Jolla. Ms. Kleinman and Dr. Gould are with the Department of Child Psychiatry, New York State Psychiatric Institute, New York. Dr. Gould is also with the Department of Child Psychiatry and Epidemiology, School of Public Health, Columbia University College of Physicians and Surgeons, New York.
Marjorie Kleinman, M.S.
Dr. Cross and Dr. Schmeelk-Cone are with the Department of Psychiatry, University of Rochester Medical Center, Rochester, New York. Dr. Chen is with the Department of Mathematics and Statistics, College of Natural Sciences and Mathematics, University of Toledo, Toledo, Ohio. Dr. Tu is with the Department of Family Medicine and Public Health, University of California, San Diego, La Jolla. Ms. Kleinman and Dr. Gould are with the Department of Child Psychiatry, New York State Psychiatric Institute, New York. Dr. Gould is also with the Department of Child Psychiatry and Epidemiology, School of Public Health, Columbia University College of Physicians and Surgeons, New York.
Madelyn S. Gould, Ph.D., M.P.H.
Dr. Cross and Dr. Schmeelk-Cone are with the Department of Psychiatry, University of Rochester Medical Center, Rochester, New York. Dr. Chen is with the Department of Mathematics and Statistics, College of Natural Sciences and Mathematics, University of Toledo, Toledo, Ohio. Dr. Tu is with the Department of Family Medicine and Public Health, University of California, San Diego, La Jolla. Ms. Kleinman and Dr. Gould are with the Department of Child Psychiatry, New York State Psychiatric Institute, New York. Dr. Gould is also with the Department of Child Psychiatry and Epidemiology, School of Public Health, Columbia University College of Physicians and Surgeons, New York.

Notes

Send correspondence to Dr. Cross (e-mail: [email protected]).

Competing Interests

The authors report no financial relationships with commercial interests.

Funding Information

URMC CTSA: The project described in this publication was supp
This project was funded by the National Institute of Mental Health (NIMH) (R01MH082537-01A) and the Substance Abuse and Mental Health Services Administration through a subcontract from Macro International (now ICF) and by a grant from NIMH to Dr. Cross (K23MH073615). Dr. Cross received support from the University of Rochester's Clinical and Translational Sciences Institute for the study's statistical analyses.

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