Training to Use Motivational Interviewing Techniques for Depression: A Cluster Randomized Trial =============================================================================================== * Robert D. Keeley * Brian L. Burke * David Brody * Sona Dimidjian * Matthew Engel * Caroline Emsermann * Frank deGruy * Marshall Thomas * Ernesto Moralez * Steve Koester * Jessica Kaplan ## Abstract *Objective:* The goal of this study was to assess the effects of training primary care providers (PCPs) to use Motivational Interviewing (MI) when treating depressed patients on providers' MI performance and patients' expressions of interest in depression treatment (“change talk”) and short-term treatment adherence. *Methods:* This was a cluster randomized trial in urban primary care clinics (3 intervention, 4 control). We recruited 21 PCPs (10 intervention, 11 control) and 171 English-speaking patients with newly diagnosed depression (85 intervention, 86 control). MI training included a baseline and up to 2 refresher classroom trainings, along with feedback on audiotaped patient encounters. We report summary measures of technical (rate of MI-consistent statements per 10 minutes during encounters) and relational (global rating of “MI Spirit”) MI performance, the association between MI performance and number of MI trainings attended (0, 1, 2, or 3), and rates of patient change talk regarding depression treatments (physical activity, antidepressant medication). We report PCP use of physical activity recommendations and antidepressant prescriptions and patients' short-term physical activity level and prescription fill rates. *Results:* Use of MI-consistent statements was 26% higher for MI-trained versus control PCPs (*P* = .005). PCPs attending all 3 MI trainings (n = 6) had 38% higher use of MI-consistent statements (*P* < .001) and were over 5 times more likely to show beginning proficiency in MI Spirit (*P* = .036) relative to control PCPs. Although PCPs' use of physical activity recommendations and antidepressant prescriptions was not significantly different by randomization arm, patients seen by MI-trained PCPs had more frequent change talk (*P* = .001). Patients of MI-trained PCPs also expressed change talk about physical activity 3 times more frequently (*P* = .01) and reported more physical activity (3.05 vs 1.84 days in the week after the visit; *P* = .007) than their counterparts visiting untrained PCPs. Change talk about antidepressant medication and fill rates were similar by randomization arm (*P* > .05 for both). *Conclusions:* MI training resulted in improved MI performance, more depression-related patient change talk, and better short-term adherence. * Depressive Disorder * Medical Education * Motivational Interviewing * Patient Adherence * Randomized Controlled Trial Motivational Interviewing (MI) is a “collaborative conversation style for strengthening a person's own motivation and commitment to change.”1 General medical settings have begun adopting MI from its origins in the specialty milieu to help address a broad range of problematic health behaviors.2 Unfortunately, published training approaches have not yet demonstrated that primary care providers (PCPs) learn MI and implement it in clinical practice over time, nor have they provided evidence that MI training for PCPs is linked to treatment adherence and clinical outcomes.3,4 In this study we investigated whether a multifaceted MI training improved (1) PCPs' MI performance during index visits with patients with newly diagnosed depression; (2) subsequent outcomes related to patients' expressed interest (“change talk”) in improving this condition; and (3) short-term adherence to treatment5 (Figure 1). ![Figure 1.](http://www.jabfm.org/https://www.jabfm.org/content/jabfp/27/5/621/F1.medium.gif) [Figure 1.](http://www.jabfm.org/content/27/5/621/F1) Figure 1. Theoretical model of how motivational interviewing (MI) training influences patient treatment and health outcomes. Depression is projected to become the leading cause of disability worldwide by 20306 and is often treated, at least in part, in primary care.7,8 In general, poor depression outcomes in primary care9⇓–11 are in part because of pervasive nonadherence to depression treatment, which is associated with lower recovery rates.12,13 Multiple training approaches to improve PCPs' treatment of depression have not translated into better treatment adherence or clinical outcomes.14,15 In theory, MI may offer an ideal framework to address the problem of nonadherence to depression treatments.16 In practice, MI as a pretreatment for cognitive behavioral therapy for anxiety seemed to increase active engagement in therapy.17 With this randomized controlled trial (RCT) of MI training for PCPs we attempted to support PCPs in learning and using MI when discussing depression. Recent reviews describe positive effects of MI on sedentary lifestyle, dental caries, hypertension, human immunodeficiency virus viral load, obesity, and substance use; the effect on most outcomes is likely secondary to improved treatment adherence.18,19 While most of the studies used mental health professionals or nurses to provide MI, PCPs may also exert similar influence when trained in MI.19 Training PCPs to learn MI may enable them to positively influence a broad range of problematic health behaviors that are prevalent in primary care settings. Null effects reported in previous RCTs of training PCPs to learn and implement MI may be because of teaching an abridged form of MI or omitting training components that have demonstrated effectiveness in specialty settings.3 Previous research suggests that a baseline workshop alone is not sufficient to impart an enduring understanding of the techniques and spirit of MI.20,21 Ongoing feedback regarding specific MI skills, consultation phone calls,12,16 and refresher courses22,23 are also recommended. Therefore, we translated approaches from the substance abuse treatment arena into an MI training strategy for PCPs. Because communication training for PCPs should improve intermediate patient-level factors that are linked to important adherence and clinical outcomes, we also assessed patient-level factors.4 For instance, PCPs' MI performance24 may help elicit a type of patient language called “change talk,” or utterances in favor of change,25 which often predicts improvements in target problematic health behaviors such as treatment adherence.5,26,27 We hypothesized that, relative to their counterparts receiving no MI training, those PCPs randomized to MI training would exhibit superior MI performance during clinical encounters with patients with a new diagnosis of depression and that their patients would voice more overall depression-related change talk and exhibit better short-term treatment adherence. Because all PCPs participated in training for standard management of depression, we theorized no difference by randomization arm in whether the PCP provided a prescription for antidepressant medication or recommended physical activity. We also explored the association between number of MI trainings (0,1, 2, or 3) and MI performance. ## Methods ### Participants and Enrollment Process #### Setting This pragmatic cluster trial took place from April 2010 to December 2012 in primary care clinics at a federally qualified community health care system in Denver, Colorado (Figure 2). ![Figure 2.](http://www.jabfm.org/https://www.jabfm.org/content/jabfp/27/5/621/F2.medium.gif) [Figure 2.](http://www.jabfm.org/content/27/5/621/F2) Figure 2. Flow diagram of primary care provider progress through the phases of the randomized trial. MI, motivational interviewing. #### PCP Enrollment From May to June 2009, experienced PCPs were E-mailed twice to consider participation “in a training for a new counseling method for treating depression” and to be randomized to the intervention or control arm. Inclusion criteria included working at 1 of 8 primary care clinics in the system, a minimum of 30% effort conducting outpatient clinical work, and availability for a 1-day training in late July 2009. All participating PCPs signed a written consent. PCPs were remunerated at a rate of $65/hour; funds were placed in a professional spending account for time spent in MI classroom trainings. #### Patient Enrollment Patients were enrolled between April 2010 and March 2012. Consecutive English-speaking primary care patients aged ≥18 years were contacted by telephone before a scheduled primary care visit. We screened for exclusion criteria and invited those not excluded to complete a recorded partial waiver of consent and a stage I depression screen (2-item Patient Health Questionnaire).28 Consenting patients with a positive screen were met at the clinic before their visit by a recruiter to obtain written consent and complete the 9-item Patient Health Questionnaire (PHQ-9).29 Patients whose PHQ-9 score was ≥10, indicating probable major depression, were enrolled. PCPs and patients were notified just before the encounter regarding the depression severity level, and the visit was audiotaped. Exclusion criteria included age <18 years, taking medication for depression within 3 months or current psychotherapy, currently pregnant or breastfeeding, life-threatening physical disease, severe suicidal ideation, diagnosed bipolar disorder, or current psychosis. All patient participants received a $20 gift card for completing the baseline surveys. Clinical care was not reimbursed by this study. The protocol was approved by the Colorado Multiple Institutional Review Board (COMIRB no. 08-1282) and is registered at clinicaltrials.gov ([NCT01114334](http://www.jabfm.org/lookup/external-ref?link_type=CLINTRIALGOV&access_num=NCT01114334&atom=%2Fjabfp%2F27%2F5%2F621.atom)). ### Randomization Before randomization, participating PCPs' 7 home clinics were stratified by the predominant race/ethnicity of the adult patients at the clinic—Hispanic (>70%), non-Hispanic black (>70%), or non-Hispanic white (>50%)—because adherence to antidepressant medication and depression outcomes may be worse for members of racial/ethnic minority groups.30⇓⇓–33 Two smaller clinics from adjacent neighborhoods with similar patient populations were combined for randomization purposes. Clinics in each stratum were randomly assigned to a condition, and the participating PCPs in each clinic were assigned to the same condition. PCPs were not blinded to training assignment. Patients were blinded to randomization status. An independent provider conducted the randomization using the RAND() function (Microsoft Excel; Microsoft Corp., Redmond, WA). ### PCP Training #### Standard Management of Depression Enrolled PCPs received a copy of the American Psychiatric Association's *Practice Guideline for the Treatment of Major Depressive Disorder*5 and a summary slide show describing antidepressant therapy and evidence-based psychotherapy as primary treatments, with physical activity as a potentially beneficial adjunct. The guideline recommended 3 follow-up visits over the 12-week acute treatment phase, additional follow-up visits as needed during the 24-week continuation treatment phase, and prescription of antidepressant medication over 36 weeks. No payment was provided for participating in depression management training. #### Motivational Interviewing for Depression The MI training approach was translated from the substance abuse field and included interactive learning for most of the core MI skills. The emergent theory of MI proposes 2 domains: a technical domain targeting the differential evocation and reinforcement of patient “change talk” and a relational domain (dependent in part on sound technical performance) emphasizing empathy and the interpersonal spirit of MI.24 An 8-hour classroom training on July 25, 2009, consisted of a brief overview of MI, videos and discussion of core MI skills and “MI spirit,” and skill-building practice. Intervention PCPs learned how to use open-ended questions, affirmations, reflective statements, and summaries to elicit change talk, to implement the elicit–provide–elicit technique, and to craft action plans. PCPs practiced using 0 to 10 Rulers to assess and increase patient importance and confidence in changing. (See Appendix 1 for definitions of MI components.) For all training sessions, the second author (BLB) was the lead trainer, and the first author (RDK) assisted. PCPs received a pocket card outline for a 4-visit episode of care (Table 1). View this table: [Table 1.](http://www.jabfm.org/content/27/5/621/T1) Table 1. Four-visit Episode of Care Four-hour refresher trainings were offered on November 22, 2009, and July 11, 2010. During the first refresher, open-ended questions, affirmations, reflective statements, and summaries were reviewed and the PCPs practiced the elicit–provide–elicit technique. At the second refresher, participants read transcripts and listened to audiotapes to practice identifying change talk, and they learned to respond to change talk using the “EARS” technique (elaborate, affirm, reflect, summarize). The primary investigator (RDK) provided (via E-mail and in person) feedback for MI-trained PCPs regarding their audiotaped encounters (2 to 4 feedbacks per PCP) during the first 14 months.21,34 Feedback consisted of presenting summaries and interpretations of utterances made by PCPs. The PCP was invited to respond to the feedback and to choose which MI skill(s) to try and improve before the next encounter. ### Measures #### PCP MI Training Outcomes ##### Technical Performance. Trained coders (see Appendix 2 for descriptions of coder training and reliability scores) used the Motivational Interviewing Treatment Integrity (MITI) code 3.1.135 to evaluate provider language within complete encounters (ranging 7.62 to 58.38 minutes in length). A summary measure of technical performance, the frequency of MI-consistent language (fMICO) was calculated by summing the MITI components—open-ended questions, reflective statements, and MI-adherent statements (Appendix 1)—then calculating the mean rate per 10 encounter minutes.36 We also analyzed individual MITI component counts per encounter and MITI ratios (eg, percentage of MI-adherent statements; see Table 4 for definitions) recommended in the specialty literature.35 ##### Relational Performance. MITI global scores for collaboration, autonomy support, evocation, direction, and empathy (ranging form 1 to 5; higher scores are better) were determined, and we calculated a summary measure of relational performance, “MI spirit,” by averaging the collaboration, autonomy, and evocation scores. These results were measured against beginning proficiency thresholds recommended for substance abuse counselors who have completed basic MI training.37 For individual global ratings and MI spirit, a threshold of ≥3.5 defines “beginning proficiency.” We examined the association between the number of MI training sessions attended (3, 2, 1, or 0) and fMICO and beginning proficiency in MI Spirit. #### PCP Depression Management Training Outcomes ##### Depression-Related Treatment Advice. Encounters were assessed for PCP recommendation to increase physical activity or to take a prescription for an antidepressant medication. Effectiveness of the depression management training was not otherwise evaluated. #### Patient Outcomes ##### Change Talk. The MI Skills Code 2.138 was used to categorize patient change talk. Change talk is patient language in favor of a positive behavior change, as opposed to “sustain talk” toward maintaining a negative behavior.38 Total change talk comprised change talk for adherence to evidence-based treatments for depression (antidepressant medication, specialty mental health counseling, and physical activity) and for nonharmful behaviors the patient deemed to enhance mood (eg, visiting friends). We calculated the mean rate of change talk statements per 10 minutes of the encounter to obtain standardized measures of patient change talk.25 We report both treatment-specific and total measured change talk. Because specialty mental health counseling was not broadly available during the RCT, we do not report referral rates, change talk specific to counseling, or follow-up on counseling referrals. ##### Treatment Adherence. Among patients we assessed (1) whether a prescription for an antidepressant medication was filled (pharmacy records)27 and (2) the number of days of physical activity lasting at least 30 minutes during the week after the index visit (self-report).39 ### Analyses For count or frequency and dichotomized outcomes, multivariate linear mixed and mixed effects logistic regression models, respectively, determined differences by patient group. For all models we clustered patients within PCP as a random effect. Because intervention encounters were, on average, slightly longer than control encounters, we adjusted MITI component counts for clinical encounter length in seconds. We adjusted the intent-to-treat analyses for the intervention as intended, unadjusted for covariates. We developed models adjusted for 4 possible patient- and PCP-level covariates associated in the literature40 with provision of MI (PCP training level),19 with differences in MI effectiveness (patient race/ethnicity),24 or with differential adherence to evidence-based depression treatment (patient age, patient sex).41 We included possible covariates that were associated with intervention or outcome at *P* < .20. Statistical associations were made at the α = 0.05 level using 2-tailed tests. We used SAS version 9.3 (SAS, Inc., Cary, NC) for all analyses. ## Results ### PCP and Patient Enrollment and Randomization We invited 53 PCPs to participate. Three providers were not eligible, 10 did not respond to the invitations, 13 had scheduling conflicts with the baseline training, and 6 declined (1 refused randomization, 2 were worried about extra workload, and 3 provided no reason). In total, 21 providers were recruited and randomized (10 to MI training, 11 to control). The providers were distributed as follows: 2 clinics with 1 provider, 1 clinic with 2 providers, 3 clinics with 4 providers, and 1 clinic with 5 providers. One control PCP was excluded because no patients were recruited over the study period. All 10 providers randomized to the MI training attended the baseline training, 6 attended both refreshers, 2 just one refresher, and 2 neither refresher (Figure 2). We estimate that PCPs responded to feedback pertaining to their MI performance about 30% of the time by acknowledging the information or describing how they would try to improve. We enrolled 175 patients (88 to MI training, 87 to control) between April 2010 and March 2012. Four audiotapes were inadvertently not activated, leaving 171 recordings for analysis (85 intervention and 86 control). ### Patient and Provider Descriptions Providers averaged about 48 years of age and reported minimal or no previous MI training (Table 2). Patients averaged 48 years of age and about 50% reported a household income <$10,000, and about half were obese (body mass index >30 kg/m2). Patients averaged mild to moderately severe depressive symptoms (mean PHQ-9 score of 15.7). There were no significant differences in provider or patient characteristics by randomization arm (Table 2). View this table: [Table 2.](http://www.jabfm.org/content/27/5/621/T2) Table 2. Baseline Characteristics of the Provider and Patient Participants ### Reliability and Coefficients of Intraclass Correlation We calculated 16 reliability scores: 13 were rated “good” to “excellent” and 3 were rated “fair.”42 The coefficients of intraclass correlation for fMICO rate and MI spirit were 0.009 (small) and 0.48 (large),43 respectively (see Appendix 2 for all coefficients of intraclass correlation). ### Provider Outcomes #### Summary Technical Performance Clinical encounters averaged 25.2 minutes (standard deviation [SD], 8.5). The intervention visits (26.2 minutes) were slightly longer than the control visits (24.1 minutes) (*P* = .02). In the intention-to-treat analysis, PCPs assigned to the MI training averaged higher rates of MI-consistent language compared with those who received no training (fMICO, 8.80 [SD, 4.16] vs 6.98 [4.14]; *P* = .005; Cohen's d clinical effect size = 0.44)44 (Table 3). Results adjusted for covariates were similar. View this table: [Table 3.](http://www.jabfm.org/content/27/5/621/T3) Table 3. Comparison of Mean Scores for Provider- and Patient-level Outcomes by Randomization Arm #### Summary of Relational Performance Over twice as many MI-trained as untrained PCPs seemed to demonstrate beginning proficiency in MI spirit (37% vs 15%), although the difference was not significant (adjusted odds ratio [AOR], 3.28; 95% confidence interval [CI], 0.83–12.90) (Table 3). #### Performance for Individual Technical and Relational Components The counts of 4 individual MITI components that were emphasized in at least 2 MI classroom trainings (open questions, affirmations, complex reflections, and asking permission) occurred more often for MI-trained relative to untrained PCPs (*P* < .05) (Table 4). Counts for those MITI components not targeted for improvement (support statements) or for reduction (MI nonadherent statements, closed-ended questions) were similar by randomization arm. Global “direction” rated significantly higher among the MI-trained PCPs (Table 4). There were no differences by randomization arm in beginning proficiency for any global scale or for MITI ratios. View this table: [Table 4.](http://www.jabfm.org/content/27/5/621/T4) Table 4. Provider Motivational Interviewing Treatment Integrity Technical and Relational Measures by Randomization Arm #### Comparisons of Technical and Relational MI Performance by Number of Trainings Relative to PCPs attending 1 or no MI trainings, those attending both refreshers demonstrated significantly greater fMICO scores (d = >0.7; *P* < .05). When comparing PCPs attending 3, 2, 1, or 0 (control) MI classroom trainings, beginning proficiency in MI spirit was noted in 49.2%, 25.1%, 18.5%, and 14.7% of recorded encounters, respectively. Those attending 3 trainings were significantly more likely to exhibit beginning proficiency in MI spirit relative to control providers (AOR, 5.60; 95% CI, 1.13–27.89) (Table 5). View this table: [Table 5.](http://www.jabfm.org/content/27/5/621/T5) Table 5. Association between Motivational Interviewing (MI) Trainings Attended and MI Performance and Global Rating #### Treatment Advice Although recommending physical activity trended higher among MI-trained PCPs (AOR, 2.21; 95% CI, 0.99–4.95), neither recommendation of physical activity nor prescribing antidepressant medication (AOR, 1.17; 95% CI, 0.59–2.30) was significantly different by randomization arm (Table 3). ### Patient Outcomes #### Change Talk Compared with their counterparts seeing untrained PCPs, patients visiting MI-trained PCPs made depression-related change talk statements over 100% more frequently (statements per 10 encounter minutes: 0.90; 95% CI, 0.71–1.10 vs 0.44; 0.44–0.63; d = 0.51). The rate of change talk around physical activity showed similar relative improvement (statements per 10 encounter minutes: 0.30; 95% CI, 0.19–0.41 vs 0.10; −0.01–0.21; d = 0.39); however, the rate of change talk specific to antidepressant medication was not significantly greater for patients visiting MI-trained PCPs (statements per 10 encounter minutes: 0.25; 95% CI, 0.15–0.35 vs 0.15; 0.05–0.25; d = 0.21) (Table 3). #### Treatment Adherence In the intent-to-treat analyses, intervention patients reported significantly more days performing ≥30 minutes of physical activity in the week after their index visit (days of the week: 3.05; 95% CI, 2.42–3.67) than their counterparts visiting untrained PCPs (days of the week: 1.84; 95% CI, 1.18–2.51; d = 0.40). Patients randomized to intervention were not significantly more likely to fill an initial prescription for antidepressant medication (AOR, 1.27; 95% CI, 0.48–3.43) (Table 3). ### Adverse Events No adverse events were reported. ## Discussion In this effectiveness trial of training experienced PCPs to learn and use MI, we analyzed index clinical encounters with newly diagnosed depressed patients and found that MI training was associated with enhanced MI performance and short-term, clinically relevant patient outcomes. Overall, MI-trained PCPs voiced 26% more MI-consistent language than their untrained counterparts; this is explained primarily by ≥60% increases in the provision of affirmations, asking permission to share information, and complex reflections. There was no evidence that MI training significantly influenced PCPs' treatment recommendation rates. Patients' number of activity-related change talk statements during the index visit and report of physically active days over the next week were significantly greater when patients visited MI-trained PCPs; however, neither medication-related change talk nor rates of obtaining medication were higher. Both technical and relational MI performance (fMICO and MI spirit) scores were significantly higher for PCPs attending all classroom trainings relative to those attending <2 trainings, suggesting that additional training may have boosted MI performance. Alternatively, those PCPs more proficient in MI may have been more likely to attend refreshers but did not boost or maintain their MI performance as a result of additional training. Global direction was significantly higher for MI-trained PCPs. Further analysis of audiotaped encounters would elucidate whether the finding was because of more MI-consistent reflective listening or more MI nonadherent directing. Lack of an intervention effect on change talk specific to antidepressant medication and rates of obtaining medication may be because of patient, PCP, or other factors. Change talk around antidepressants, while associated with increased adherence to antidepressant medication in a previous study,27 may have been driven primarily by underlying patient beliefs or previous experiences with antidepressant medication.45 MI-trained PCPs may have lacked skill or time to elicit additional change talk around antidepressants but seemed to successfully elicit more change talk targeting physical activity. Notable strengths of this study include recruitment of experienced PCPs, the randomized study design, and collection of patient-level outcomes. Weaknesses include a threat to generalizability: our specific training approach totaled up to 16 hours of paid classroom time may not translate to other medical settings. We studied a relatively small number of PCPs, and we did not prespecify a primary outcome, although summary measures of fMICO and MI spirit performance are consistent with the primary outcomes in another trial of MI training for pediatric residents.46 We did not blind PCPs to patient participation, nor did we extensively evaluate the effect of training in the standard management of depression on patient outcomes. However, any related effects on outcomes would be expected to occur equally for intervention and control PCPs. Although the stratified, randomized study design would most often account for prestudy differences, we do not know how adjusting for PCPs' MI performance before training or patients' physical activity or antidepressant adherence before the study would have influenced our findings. While unlikely in part because MI-trained and control PCPs reported minimal previous MI training, it is possible that a PCP sample more proficient in MI and/or a patient sample with higher physical activity before baseline was allocated to the MI training condition by chance. The finding that MI skills that were a focus of MI training were those showing significant improvements supports the likelihood of well-balanced baseline MI skills and an effective MI training. Because this was an effectiveness trial, we did not train PCPs to a clinical proficiency criterion. Thresholds after MI-training in the specialty arena are set by expert opinion and are relatively high, in part because therapists often exhibit a substantial MI capability before training.20,47 Researchers should conduct (1) studies of the effects of various training components on the acquisition and maintenance of MI skills; (2) studies of whether particular MI components are more successfully learned; and (3) moderator–mediator analyses of the effects of MI training on PCP MI performance and on patient outcomes.24 Further enhancements to the training approach may improve PCP proficiency and patient outcomes. Health care systems are not certain about how to best approach MI training. To our knowledge, ours is the first study to demonstrate that experienced PCPs cluster-randomized to receive MI training effectively learned and applied some MI skills over a 24-month RCT recruitment period in real-world clinical settings. This multifaceted training adapted from specialty settings has potential to set a standard for MI training in primary care and may also represent an approach to helping PCPs frame clinically impactful discussions around depression. ## Acknowledgments The authors thank the nurse managers, team leaders, and staff at the Bernard Gipson Eastside, Sandos Westside, Lowry, Montbello, Park Hill, La Casa Quigg-Newton, and Family Internal Medicine clinics at Denver Health for supporting this study. The authors also thank Denver Health, Denver Community Health Services, and the Denver Health Department of Family Medicine for providing in-kind support for this research. ## Appendix 1 #### Relational and Technical Domains of Motivational Interviewing View this table: [Table 6.](http://www.jabfm.org/content/27/5/621/T6) Table 6. Components of Motivational Interviewing (MI) ## Appendix 2 #### Reliability Scores and Coefficients of Intracluster Correlation ##### Coder Training Three coders (RDK, ME, JK) participated in a basic 16-hour MITI training course, and the primary coder (JK) received an additional 14 hours of advanced training. Coders met weekly for 1 to 2 hours over 6 months to discuss relevant issues and decide how to uniformly address coding challenges. ##### Reliability The 3 coders scored a subset of audiotaped encounters to establish reliability. However, only the blinded primary coder scored all baseline encounters, and her MITI scores were used for analytical purposes.3 Scores from all coders were used for analyses of change talk. Cronbach α was used to assess agreement between coders for continuous measures,4 and the Cohen κ statistic was used for dichotomous and categorical measures. A total of 75 tapes were randomly selected to include at least 2 tapes from each participating provider. Tapes were coded to assess MITI behavior counts, global ratings scores, change talk,1,2 and “prescription provided” and “physical activity recommended.” Interpretation of the intraclass correlations were poor (<0.40), fair (0.40–0.59), good (0.60–0.74), or excellent (0.75–1.00); and κ coefficients were interpreted as poor (≤0.20), fair (0.21–0.40), moderate (0.41–0.60), good (0.61–0.80), and very good (0.81–1.00).5 The following tables show reliability results. ##### Coefficients of Intracluster Correlation Coefficients of intracluster correlation, considering the provider as the unit of clustering, were generated. View this table: [Table 7.](http://www.jabfm.org/content/27/5/621/T7) Table 7. Kappa Coefficients for Dichotomous and Ordinal Measures View this table: [Table 8.](http://www.jabfm.org/content/27/5/621/T8) Table 8. Intraclass Correlation Coefficients (ICCs) for Continuous Measures View this table: [Table 9.](http://www.jabfm.org/content/27/5/621/T9) Table 9. Coefficients of Intracluster Correlation* ###### References 1. 1. Moyers TB, Martin T, Manuel JK, Hendrickson SM, Miller WR. Assessing competence in the use of motivational interviewing. J Subst Abuse Treat 2005;28:19–26. 2. 2. Miller WR, Moyers TB, Ernst DB, Amrhein PC. Motivational Interviewing Skill Code (MISC) version 2.1. New Mexico: Center on Alcoholism, Substance Abuse, and Addictions, The University of New Mexico; 2008. 3. 3. Kaplan JE, Keeley RD, Engel M, Emsermann C, Brody D. Aspects of patient and clinician language predict adherence to antidepressantmedication. J Am Board Fam Med 2013;26:409–20. [Abstract/FREE Full Text](http://www.jabfm.org/lookup/ijlink/YTozOntzOjQ6InBhdGgiO3M6MTQ6Ii9sb29rdXAvaWpsaW5rIjtzOjU6InF1ZXJ5IjthOjQ6e3M6ODoibGlua1R5cGUiO3M6NDoiQUJTVCI7czoxMToiam91cm5hbENvZGUiO3M6ODoiYW5uYWxzZm0iO3M6NToicmVzaWQiO3M6NjoiMy8xLzIzIjtzOjQ6ImF0b20iO3M6MjA6Ii9qYWJmcC8yNy81LzYyMS5hdG9tIjt9czo4OiJmcmFnbWVudCI7czowOiIiO30=) 4. 4. Shrout PE, Fleiss JL. Intraclass correlations: uses in assessing rater reliability. Psychol Bull. 1979;86:420–8. [CrossRef](http://www.jabfm.org/lookup/external-ref?access_num=10.1001/archpediatrics.2010.86&link_type=DOI) [PubMed](http://www.jabfm.org/lookup/external-ref?access_num=20530307&link_type=MED&atom=%2Fjabfp%2F27%2F5%2F621.atom) [Web of Science](http://www.jabfm.org/lookup/external-ref?access_num=000278324300010&link_type=ISI) 5. 5. Altman D. Practical statistics for medical research. London: Chapman and Hall; 1991. ## Notes * This article was externally peer reviewed. * *Funding:* Funding for this study was provided by the National Institute of Mental Health grant nos. K23MH0829972 and 3K23082997-S1; National Institutes of Health/National Center for Advancing Translational Sciences Colorado CTSI grant no. KL2 TR000156 (to CE). * *Conflict of interest:* none declared. * *Disclaimer:* Contents are the authors' sole responsibility and do not necessarily represent the official views of the National Institutes of Health. * Received for publication December 16, 2013. * Revision received May 16, 2014. * Accepted for publication May 19, 2014. ## References 1. 1. Miller W, Rollnick S. Motivational interviewing: helping people change. 3rd ed. New York: Guilford Press; 2013. 2. 2. Lundahl B, Burke BL. The effectiveness and applicability of motivational interviewing: a practice-friendly review of four meta-analyses. J Clin Psychol 2009;65:1232–45. 3. 3. Soderlund LL, Madson MB, Rubak S, Nilsen P. A systematic review of motivational interviewing training for general health care practitioners. Patient Educ Couns 2011;84:16–26. 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