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CME Article

Efficacy of a Behavioral Activation Teletherapy Intervention to Treat Depression and Anxiety in Primary Care VitalSign6 Program

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Articles are selected for credit designation based on an assessment of the educational needs of CME participants, with the purpose of providing readers with a curriculum of CME articles on a variety of topics throughout each volume. Activities are planned using a process that links identified needs with desired results.

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CME Objective

After studying this article, you should be able to:

‘ ¢ Consider a brief behavioral activation intervention (in person or as teletherapy) as an adjunct or alternative to pharmacologic care for depression and anxiety

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Efficacy of a Behavioral Activation Teletherapy Intervention to Treat Depression and Anxiety in Primary Care VitalSign6 Program

ABSTRACT

Objective: Research analyzing behavioral activation (BA) teletherapy outcomes is limited. Among low-income real-world primary care patients receiving a brief BA teletherapy program for depression and anxiety, we analyzed descriptive statistics and changes in depression and anxiety scores throughout treatment.

Methods: One hundred thirty patients completed an intake assessment from June 2015 to August 2016; outcomes included the Patient Health Questionnaire-9 (PHQ-9) and the Generalized Anxiety Disorder-7 (GAD-7). Data from 74 low-income, primary care patients completing at least one therapy session were analyzed to characterize the demographics of therapy patients, to describe their depression and anxiety symptoms throughout treatment, and to examine whether patients who completed 4 or more sessions had statistically lower exit scores than those completing fewer than 4.

Results: Patients were moderately depressed (PHQ-9 score: mean = 14.46) and anxious (GAD-7 score: mean = 11.91) at intake. Patients were predominantly Latino/Latina (68.9%), Spanish-speaking (54.0%), and female (79.7%). The majority of patients who received at least one therapy session achieved and sustained depression remission. Patients who completed ≥ 4 therapy sessions demonstrated lower final session depression (PHQ-9: mean = 5.13, SD = 4.75) and anxiety (GAD-7: mean = 4.77, SD = 4.21) scores compared to those completing < 4 sessions (PHQ-9: mean = 8.04, SD = 6.20, P = .029; GAD-7: mean = 8.00, SD = 6.02, P = .011).

Conclusions: Primary care patients demonstrated improvements in depressive and anxious symptoms throughout BA-based teletherapy. BA teletherapy is feasible and associated with improved outcomes as an adjunct or alternative intervention for primary care providers and in low-income, charity populations.

Prim Care Companion CNS Disord 2017;19(5):17m02146

https://doi.org/10.4088/PCC.17m02146

aDepartment of Psychiatry, The University of Texas Southwestern Medical Center, Dallas, Texas

bSchool of Social Work, The University of Texas at Arlington, Arlington, Texas

*Corresponding author: Madhukar H. Trivedi, MD, Department of Psychiatry, The University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd, Dallas, TX 75390-9119 (Madhukar.Trivedi@utsouthwestern.edu).

Efficacy of videoconferencing telepsychiatry and teletherapy for treatment of mood and anxiety disorders has been well-established, with outcomes similar to face-to-face visits and greater efficacy compared to treatment as usual or placebo.1-10 These studies1-10 primarily employed videoconferencing with adult outpatients (some in primary care settings) with depressive or anxiety symptoms and disorders, including posttraumatic stress disorder (PTSD). While some common approaches include telephone visits, computer programs, and mobile phone applications,11,12 extensive research has focused on live videoconferencing teletherapy, which is most analogous to in-person psychotherapy. Patient and provider satisfaction scores with videoconferencing teletherapy interventions are high.6,8,10,13 Videoconferencing teletherapy is cost-effective and improves access to care, especially among rural, elderly, underserved, and minority outpatients.2,4,14,15

Cognitive-behavioral therapy (CBT) has been an effective modality for depression-focused teletherapy interventions,16-25 with greater improvement in depressive symptoms compared to supportive psychotherapy25,26 or treatment as usual.18,23 However, these interventions have primarily involved telephone sessions or online courses rather than videoconference-based therapy. Like CBT, behavioral activation (BA) focuses on exposure to pleasurable, accomplishment-building activities; however, this therapy focuses less on maladaptive cognitions and cognitive restructuring and more on how cognitions relate to task completion or avoidance. Core cognitive components of BA include teaching patients that motivation can come after beginning a task and the importance of following a plan rather than one’s mood. Limited research3,15,27 on BA in teletherapy has demonstrated its efficacy. A trial15 utilizing manualized videoconferencing depression-based BA teletherapy with elderly veterans found treatment outcomes for telecounseling were similar to in-person BA at both 3- and 12-month follow-ups. Another videoconferencing study3 used manualized teletherapy and in-person BA and therapeutic exposure (BA-TE) to treat combat veterans with PTSD and major depressive disorder (MDD). The effectiveness of symptom reduction was similar across both in-person and teletherapy interventions posttreatment and at 3- and 12-month follow-ups.3 Additional research27 using the same videoconferencing paradigm found the BA-TE program to be effective for treating PTSD symptoms, but not MDD symptoms, when also controlling for comorbid PTSD symptoms. In summary, only a small number of studies, conducted in Veterans Affairs (VA) settings, have examined videoconferencing teletherapy-based BA as a depression intervention.

clinical points
  • Brief behavioral activation teletherapy was associated with improved depression and anxiety outcomes among patients receiving teletherapy within low-income primary care clinics.
  • Symptom reduction was noted especially among patients completing ≥ 4 therapy sessions.
  • Primary care providers may consider behavioral activation teletherapy as an adjunct or alternative to measurement-based, pharmacologic care for depression and anxiety.

Integrated models of care have incorporated depression treatment into primary care settings. Examples include monthly videoconferencing with psychiatrists28 and collaborative care between primary care providers and psychiatrists.29 A meta-analysis7 across different modalities of teletherapy (ie, videoconferencing, guided self-help) determined teletherapy to be more effective than treatment as usual for treating depression within primary care. Of particular interest, however, is that there were no statistically significant differences between low- and high-intensity treatments.

The current study builds on prior work to describe and analyze whether an adapted BA-based, live videoconferencing teletherapy intervention for depression and anxiety implemented as part of routine primary care is associated with improved symptom outcomes. Primary care settings are optimal for depression and anxiety treatment given patients’ increased comfort in utilizing them for first-line treatment access, the preponderance of mood symptoms,30 and the comorbidity of depression with chronic physical diseases including hypertension, diabetes, and metabolic syndrome.31,32 To offer more extensive treatment as adjunct, or as an alternative to, pharmacologic interventions, we sought to examine adapted BA-based teletherapy offered to patients at selected low-income charity clinics.

METHODS

Study Design and Intervention

As an urban academic medical center, we formed partnerships with primary care clinics to implement electronic depression screening and treatment. The partnerships were part of VitalSign6 (VS6), a quality improvement project to implement mental health screening and treatment within primary care and enhance the quality and efficacy of clinics already screening for depression. Live videoconferencing teletherapy was offered to a subset of the clinics. The majority of subset clinics were charity clinics that served low-income, uninsured, minority patients, requiring no payment for services, a low copay, or suggested donation in exchange for services. Teletherapy services were provided at no cost to patients.

To enhance services provided through VS6, we designed an adapted 8-session BA-based intervention for depression as an adjunct or alternative to antidepressant medication. Depression screening and treatment within primary care through VS6, and the teletherapy program itself, have been previously described33 and follow the principles of measurement-based care for depression.34,35 Measurement-based care measures depression and anxiety symptom severity, suicidality, antidepressant medication adherence, and side effects at each visit. A treatment visit schedule is followed, and at these visits, providers use an algorithm to facilitate treatment changes if nonresponse occurs. Prior research34-55 more fully describes measurement-based care for depression treatment.

We used prior conceptualizations of BA but adapted them to a shorter intervention (45 minutes/8 sessions vs 60-90 minutes/10-20 sessions) that is appropriate for the brevity of primary care. Services were offered in English and Spanish. Sessions 1-5 of the manualized intervention were based on core components of the BA model,56 including goal-setting, activity and mood monitoring, and activity scheduling (focusing on small, pleasurable, and accomplishment-building activities). Session 6 briefly reviewed the cognitive model, especially if cognitions were interfering with activity completion. Sessions 7 and 8 discussed relapse prevention and summarized the course of therapy. In addition to the core BA features, the model was further adapted to incorporate several optional modules including diaphragmatic breathing, interpersonal effectiveness and communication training (ie, DEAR-MAN [Describe, Express, Assert, Reinforce, Stay Mindful, Appear Confident, Negotiate] skills from dialectical behavior therapy), problem-solving, and sleep hygiene psychoeducation. Optional modules were introduced when symptom presentation (ie, insomnia, guilt) merited or when the focus of a patient’s agenda linked directly to these interventions. These modules were facilitated with handouts created by our group and those created by the Centre for Clinical Interventions (www.cci.health.wa.gov.au/) and TherapistAid (www.therapistaid.com). All materials were translated to Spanish, following a translation/back-translation process by a variety of Spanish speakers from different regions and dialects. All sessions included mood check-in, agenda setting, homework review, behavioral activation or other agenda discussion, homework assignment, and patient feedback.

Therapy sessions typically lasted 30-45 minutes, with intake sessions lasting 45-60 minutes. Therapy was conducted by a licensed clinical psychologist (J.M.T.) and a bilingual licensed master social worker (A.C.S.) supervised by a PhD-prepared, licensed clinical social worker (K.E.S.). The bilingual therapist, a native Spanish speaker, delivered therapy with special attention to cultural sensitivity and under supervision of and in collaboration with her colleague, an expert in delivering cultural adaptations of mental health materials to Spanish-speaking populations.

Therapists were based at an academic medical center, while patients accessed teletherapy either at their primary care clinic office or (as of mid-August 2016) potentially from home through their personal computer if in a confidential location. Primary care providers referred patients based on results of the VS6 depression screening and usually after having received a subclinical or clinical mood or anxiety disorder diagnosis. We further required teletherapy patients to receive regular care through their primary care provider or an outside referral source. Our institution’s institutional review board reviewed our teletherapy protocol and deemed it internal quality improvement, not human subject research. This project describes patients who completed at least an initial teletherapy intake beginning June 2015 through August 2016.

Teletherapy was delivered through standard desktop PCs with integrated, high-definition webcams and wireless, secure internet. Secure hotspots were also used when necessary to boost internet quality. Videoconferencing was integrated through our Health Insurance Portability and Accountability Act-compliant electronic medical record system. Participants connected to sessions by accessing our university’s secure MyChart system.

Measures

The Patient Health Questionnaire-9 (PHQ-9)57 and the Generalized Anxiety Disorder-7 (GAD-7)58 were collected at each session and used to measure patient progress and symptom severity. These measures consist of 9 and 7 items, respectively, each scored on a 0 to 3 scale, that denote the frequency of symptoms within the past 2 weeks. Scores range from 0 to 27 (PHQ-9) and 0-21 (GAD-7), with severity cut-points of 5 (mild), 10 (moderate), 15 (moderately severe), and 20 (severe) for the PHQ-9 and 5 (mild), 10 (moderate), and 15 (severe) for the GAD-7.

Statistical Analyses

Statistical analyses included descriptive statistics, demographic variables, means and standard deviations of PHQ-9 and GAD-7 scores by session, and scores across a cut-point grouping of completed teletherapy sessions. Due to concerns about normality, a 1-sided Wilcoxon rank sum test was utilized for inferential statistics to test whether more sessions resulted in lower scores within our specific cut-point setting.

RESULTS

Of 232 referred patients, 130 completed at least the intake session within the aforementioned timeframe. Some patients were excluded from subsequent analyses due to various factors, including only attended the intake session (n = 43); missing PHQ-9 at intake (n = 4); only a shorter, 2-item screener inquiring about the 2 core depressive symptoms (PHQ-2) at intake (n = 6); and still active in therapy but had not yet reached 8 sessions (n = 3). The final sample consisted of 74 patients who completed at least 1 teletherapy session and were not still actively in treatment. At intake, the majority of patients (n = 49/74, 66.2%) reported taking an antidepressant, while 25/74 (33.8%) did not (13 were not prescribed one, while 12 were prescribed an antidepressant that they were not currently taking).

Table 1

Click figure to enlarge

Demographic data for the final sample (N = 74) are found in Table 1. Patients were primarily women, Latina, and Spanish-speaking. Diagnoses (DSM-5 criteria) by primary care providers included major depressive disorder or unspecified depressive disorder, while a comorbid depressive disorder and generalized anxiety occurred for 12 patients. PHQ-9 scores at intake were at the high end of moderate severity (mean [SD] = 14.46 [5.74]), while GAD-7 scores were also at moderate severity (n = 69, mean [SD] = 11.91 [5.59]), following established severity conventions.57,58 Demographic and clinical characteristics of the sample were similar to those who had complete PHQ-9 data and had been referred for teletherapy but did not participate beyond attending an intake session.*

Table 2

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Table 3

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Patients engaged in 5.05 therapy sessions (SD = 2.84) following intake. Nearly 40% completed all 8 sessions. Table 2 presents the mean (SD) PHQ-9 and GAD-7 scores at intake and up to 8 teletherapy sessions, while Table 3 presents each patient’s final-session PHQ-9 and GAD-7 scores. These results indicate that depression and anxiety severity improved over time, although the largest changes seemed to occur after the first few sessions.

Depression remission was defined as a PHQ-9 score < 5 at some point during the course of teletherapy; 2 patients were excluded from these analyses because, at intake, PHQ-9 scores already qualified them for remission. The majority of patients not already in remission at intake who completed at least one teletherapy session (n = 72) achieved remission at some point during the course of therapy (n = 38, 52.8%). Furthermore, 34 of 38 (89.5%) patients achieving remission were still in remission at their final session visit.

To better understand the impact of number of completed sessions, we dichotomized this variable using a single cut-point denoting the halfway point of the full program of sessions: < 4 sessions (n = 28) and ≥ 4 sessions (n = 46). Chi-square analyses on all demographic and diagnostic information from Table 1 indicated one statistically significant difference: monolingual Spanish-speaking patients were more likely to be in the < 4 grouping compared to English-speaking patients (χ21 = 5.48, P = .019).

Figure 1

Click figure to enlarge

Final-session PHQ-9 scores for individuals completing ≥ 4 psychotherapy sessions demonstrated significantly lower median PHQ-9 scores compared to individuals completing 1 to 3 sessions (W = 1220.5, Z = 1.90, P = .029). Mean PHQ-9 scores were 8.04 (SD = 6.20) in the group completing < 4 sessions versus the group completing ≥ 4 sessions (mean = 5.13, SD = 4.75). Among GAD-7 scores, patients with a final GAD-7 score administered at session 4 or later demonstrated statistically significant lower median final session-administered GAD-7 scores than those having a final GAD-7 score administered at sessions 1 to 3 (W = 1330.5, Z = 2.27, P = .011). Mean GAD-7 scores were 8.00 (SD = 6.02) in the group with a final GAD-7 administered between sessions 1 and 3 versus the group with a final GAD-7 administered at session 4 or later (mean = 4.77, SD = 4.21). Figure 1 enumerates how these 2 session cut-points were associated with lowest PHQ-9 and GAD-7 scores throughout teletherapy.

DISCUSSION

For the first time, this project provides evidence that a short-term BA program delivered via teletherapy is associated with improved depressive and anxious symptoms among a low-income, underserved sample of patients in primary care settings. Descriptive analyses on patients referred from primary care clinics for an adapted BA teletherapy program indicated that enrollees were mostly women, Latina, and Spanish-speaking. Despite the fact that just under one-third of all patients completing the intake did not attend any additional sessions, close to 40% of those who did complete at least 1 session finished all 8. Furthermore, although the full sample started at a moderate level of depressive and anxious symptoms, the majority of patients (52.8%) receiving at least 1 psychotherapy session achieved depression remission at some point during psychotherapy, with all but 4 maintaining remission at their final treatment visit. Finally, patients completing ≥ 4 sessions had mean final session PHQ-9 scores that demonstrated significant symptom improvement compared to the group of patients who completed < 4 therapy sessions, suggesting a dose-response association between number of sessions and depression and anxiety outcomes (or that those who failed to respond early on did not continue with their treatment).

These results add to a growing body of evidence demonstrating how primarily live videoconferencing mental health interventions reduce symptoms of mood and anxiety disorders.2,5,7 The results also add to a very limited body of research specifically evaluating BA teletherapy3,27 and extend that prior work beyond VA settings and into low-income primary care clinics. Although our sample did not compare the efficacy of BA teletherapy against another intervention or treatment as usual, our findings suggest an opportunity to improve patient outcomes through depression-focused adapted BA delivered remotely as an adjunct or alternative to pharmacologic treatment for depression or anxiety within primary care.

Additionally, unlike previously studied BA teletherapy programs, we offered teletherapy services in both English and Spanish, dramatically increasing access to care for a population that experiences significant cultural and linguistic barriers to treatment. The majority of the patients in our sample were monolingual Spanish speakers (who were more likely to discontinue treatment earlier than their English-speaking counterparts). Hispanics, in particular, often seek treatment for depression in primary care, most likely due to lack of access to specialists, issues related to cost, and general fear and stigma with regard to taking antidepressant medication.59 Hispanic patients tend to discontinue antidepressant treatment without consulting their provider,60 suggesting a particular benefit of adjunct teletherapy in the primary care setting for keeping patients engaged in treatment.

That just under one-third of patients attended only the intake session and that the mean number of postintake therapy sessions attended was just over 5 supports prior research61,62 showing a high rate of “no shows” and difficulty engaging patients in a full course of psychotherapy. One study61 at an academic medical center’s ambulatory psychiatric clinic determined a 31% no-show rate, while another study62 found that only 44% of scheduled patients attended at least 1 teletherapy session, with only 8% of recruited primary care patients attending at least 8 teletherapy sessions. Our attendance rates exceeded those of previous research.61,62 Several strategies to improve patient engagement in care have been suggested, including reminder phone calls and letters; small incentives like toys, food, or busfare63; and offering walk-in appointments.64 Our teletherapy program routinely makes use of reminder telephone calls. In August 2016, to further reduce barriers (ie, transportation, childcare, costs), we began offering teletherapy services that patients could access from their homes provided they had the necessary equipment and were in a private location. As at-home teletherapy was offered relatively late within this sample’s timeframe, we did not analyze data comparing outcomes for patients receiving teletherapy at home versus in the primary care physician’s office; however, this will be possible in our future research.

Study strengths included the use of a robust teletherapy intervention, supported by prior research evidence, to target depression and anxiety specifically. The inclusion of additional modules allowed for therapist flexibility in targeting specific areas that might interfere with BA (ie, using optional modules to problem-solve BA). Measurement-based care, including baseline assessment of symptoms with the PHQ-9 and GAD-7, and therapists’ review of scores to focus on specific symptoms allowed the therapist to prioritize BA interventions and to apply additional, optional modules, as we have discussed previously when describing our teletherapy program.33

Limitations of the current study include the lack of a control group or random assignment to treatment groups, the occasional gaps in treatment between session visits (ie, not all follow-up visits were completed weekly or biweekly), and the occasional omission of PHQ-9 and GAD-7 assessments due to application failure or time demands. Also, the majority of patients at intake reported being on an antidepressant, making it difficult to isolate reduction in depression symptoms to the teletherapy intervention in these patients.

In conclusion, these results demonstrate that an adapted BA teletherapy intervention for depression and anxiety was associated with improved outcomes within low-income primary care clinics in a large urban setting. Pending replication, primary care and family medicine physicians and providers may consider teletherapy as an adjunct or alternative to pharmacologic measurement-based care for depression and anxiety within their practices, and frequent consultation between providers and therapists may further enhance the quality of care. There are clear barriers to mental health care access and engagement among low-income, primary care patients, and our therapy program has made modifications (such as offering teletherapy from home) to reduce these barriers. Subsequent research should focus on how to engage men in care, as our sample was predominantly female, beyond even the sex differences in depression.65 Future analyses will seek to replicate and expand on these findings with a greater sample size and analyze data from patients receiving booster sessions. Additional research will use multilevel modeling to examine within-person changes in depression and anxiety symptoms over time, consider predictors and moderators of treatment outcomes, and incorporate patient satisfaction data to evaluate further the quality of services delivered.

Published online: October 19, 2017.

Disclosure of off-label usage: The authors have determined that, to the best of their knowledge, no investigational information about pharmaceutical agents that is outside US Food and Drug Administration-approved labeling has been presented in this article.

Financial disclosure: Dr Trombello currently owns stock in Merck and Gilead Sciences. Ms Tovian currently owns stock in Walgreens Boots Alliance. Dr Kennard receives royalties from Guilford Press. Dr Trivedi has received funding from Agency for Healthcare Research and Quality, Cyberonics, National Alliance for Research in Schizophrenia and Depression, National Institute of Mental Health, National Institute on Drug Abuse, National Institute of Diabetes and Digestive and Kidney Diseases, and Johnson & Johnson and has served as an advisor or consultant for Abbott Laboratories, Akzo (Organon), Allergan Sales LLC, Alkermes, Acadia, AstraZeneca, Axon Advisors, Brintellix, Bristol-Myers Squibb, Cephalon, Cerecor, Eli Lilly, Evotec, Fabre Kramer, Forest, GlaxoSmithKline, Global Medical Education, Health Research Associates, Johnson & Johnson, Lundbeck, MedAvante, Medscape, Medtronic, Merck, Mitsubishi Tanabe Pharma Development America, MSI Methylation Sciences, Nestle Health Science-PamLab, Naurex, Neuronetics, One Carbon Therapeutics Ltd, Otsuka, Pamlab, Parke-Davis, Pfizer, PgxHealth, Phoenix Marketing Solutions, Rexahn, Ridge Diagnostics, Roche Products Ltd, Sepracor, Shire Development, Sierra, SK Life and Science, Sunovion, Takeda, Tal Medical/Puretech Venture, Targacept, Transcept, VantagePoint, Vivus, and Wyeth-Ayerst Laboratories. Drs South and K Sánchez and Mss Cecil, A Sánchez, Eidelman, Mayes, and Kahalnik have no personal affiliations or financial relationships with any commercial interest to disclose relative to the article.

Funding/support: Funding for this project was provided by 1115 Waiver from the Centers for Medicare and Medicaid Services, Washington, DC.

Role of the sponsor: The Centers for Medicare and Medicaid Services had no role in the design, analysis, interpretation, or publication of this study.

Previous presentation: Portions of this manuscript were presented by Dr Trombello at a panel discussion on Telemedicine at the Annual Conference of the Texas Association of Charitable Clinics; April 27-28, 2017; Round Rock, Texas.

Acknowledgments: The authors acknowledge Charlotte Carito, MA, LMHC; Curtis McAllister, MS; Tiffany Lawson, RN, MBA; Camille Casey, MHA; and Meaghan Pedersen, BA, for their support of this project and Jennifer Furman, PhD, for her editorial and administrative assistance. All acknowledged individuals are employed at the University of Texas Southwestern Medical Center, Dallas, Texas, with the exception of Ms Carito, who is currently with the Division of Managed Care, NY State Office of Mental Health, Albany, New York. All acknowledged individuals report no conflicts of interest to declare.

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REFERENCES

1. Drago A, Winding TN, Antypa N. Videoconferencing in psychiatry, a meta-analysis of assessment and treatment. Eur Psychiatry. 2016;36:29-37. PubMed doi:10.1016/j.eurpsy.2016.03.007

2. Dorstyn DS, Saniotis A, Sobhanian F. A systematic review of telecounselling and its effectiveness in managing depression amongst minority ethnic communities. J Telemed Telecare. 2013;19(6):338-346. PubMed doi:10.1177/1357633X13501767

3. Acierno R, Gros DF, Ruggiero KJ, et al. Behavioral activation and therapeutic exposure for posttraumatic stress disorder: a noninferiority trial of treatment delivered in person versus home-based telehealth. Depress Anxiety. 2016;33(5):415-423. PubMed doi:10.1002/da.22476

4. Khasanshina EV, Wolfe WL, Emerson EN, et al. Counseling center-based tele-mental health for students at a rural university. Telemed J E Health. 2008;14(1):35-41. PubMed doi:10.1089/tmj.2006.0038

5. Ruskin PE, Silver-Aylaian M, Kling MA, et al. Treatment outcomes in depression: comparison of remote treatment through telepsychiatry to in-person treatment. Am J Psychiatry. 2004;161(8):1471-1476. PubMed doi:10.1176/appi.ajp.161.8.1471

6. Hubley S, Lynch SB, Schneck C, et al. Review of key telepsychiatry outcomes. World J Psychiatry. 2016;6(2):269-282. PubMed doi:10.5498/wjp.v6.i2.269

7. Linde K, Sigterman K, Kriston L, et al. Effectiveness of psychological treatments for depressive disorders in primary care: systematic review and meta-analysis. Ann Fam Med. 2015;13(1):56-68. PubMed doi:10.1370/afm.1719

8. Richards D, Richardson T. Computer-based psychological treatments for depression: a systematic review and meta-analysis. Clin Psychol Rev. 2012;32(4):329-342. PubMed doi:10.1016/j.cpr.2012.02.004

9. Osenbach JE, O’ Brien KM, Mishkind M, et al. Synchronous telehealth technologies in psychotherapy for depression: a meta-analysis. Depress Anxiety. 2013;30(11):1058-1067. PubMed doi:10.1002/da.22165

10. Hungerbuehler I, Valiengo L, Loch AA, et al. Home-based psychiatric outpatient care through videoconferencing for depression: a randomized controlled follow-up trial. JMIR Ment Health. 2016;3(3):e36. PubMed doi:10.2196/mental.5675

11. Verwey R, van der Weegen S, Spreeuwenberg M, et al. Technology combined with a counseling protocol to stimulate physical activity of chronically ill patients in primary care. Stud Health Technol Inform. 2014;201:264-270. PubMed

12. Bombardier CH, Ehde DM, Gibbons LE, et al. Telephone-based physical activity counseling for major depression in people with multiple sclerosis. J Consult Clin Psychol. 2013;81(1):89-99. PubMed doi:10.1037/a0031242

13. Bose U, McLaren P, Riley A, et al. The use of telepsychiatry in the brief counselling of non-psychotic patients from an inner-London general practice. J Telemed Telecare. 2001;7(suppl 1):8-10. PubMed doi:10.1177/1357633X010070S103

14. Wendel ML, Brossart DF, Elliott TR, et al. Use of technology to increase access to mental health services in a rural Texas community. Fam Community Health. 2011;34(2):134-140. PubMed doi:10.1097/FCH.0b013e31820e0d99

15. Egede LE, Acierno R, Knapp RG, et al. Psychotherapy for depression in older veterans via telemedicine: a randomised, open-label, non-inferiority trial. Lancet Psychiatry. 2015;2(8):693-701. PubMed doi:10.1016/S2215-0366(15)00122-4

16. Fann JR, Bombardier CH, Vannoy S, et al. Telephone and in-person cognitive behavioral therapy for major depression after traumatic brain injury: a randomized controlled trial. J Neurotrauma. 2015;32(1):45-57. PubMed doi:10.1089/neu.2014.3423

17. Titov N, Dear BF, Staples LG, et al. MindSpot Clinic: an accessible, efficient, and effective online treatment service for anxiety and depression. Psychiatr Serv. 2015;66(10):1043-1050. PubMed doi:10.1176/appi.ps.201400477

18. Ngai FW, Wong PW, Leung KY, et al. The effect of telephone-based cognitive-behavioral therapy on postnatal depression: a randomized controlled trial. Psychother Psychosom. 2015;84(5):294-303. PubMed doi:10.1159/000430449

19. Renton T, Tang H, Ennis N, et al. Web-based intervention programs for depression: a scoping review and evaluation. J Med Internet Res. 2014;16(9):e209. PubMed doi:10.2196/jmir.3147

20. Sunderland M, Wong N, Hilvert-Bruce Z, et al. Investigating trajectories of change in psychological distress amongst patients with depression and generalised anxiety disorder treated with internet cognitive behavioural therapy. Behav Res Ther. 2012;50(6):374-380. PubMed doi:10.1016/j.brat.2012.03.005

21. Titov N, Dear BF, Schwencke G, et al. Transdiagnostic internet treatment for anxiety and depression: a randomised controlled trial. Behav Res Ther. 2011;49(8):441-452. PubMed doi:10.1016/j.brat.2011.03.007

22. van Bastelaar KM, Pouwer F, Cuijpers P, et al. Web-based depression treatment for type 1 and type 2 diabetic patients: a randomized, controlled trial. Diabetes Care. 2011;34(2):320-325. PubMed doi:10.2337/dc10-1248

23. Griffiths KM, Farrer L, Christensen H. The efficacy of internet interventions for depression and anxiety disorders: a review of randomised controlled trials. Med J Aust. 2010;192(suppl):S4-S11. PubMed

24. Ugarriza DN, Schmidt L. Telecare for women with postpartum depression. J Psychosoc Nurs Ment Health Serv. 2006;44(1):37-45. PubMed

25. Mohr DC, Hart SL, Julian L, et al. Telephone-administered psychotherapy for depression. Arch Gen Psychiatry. 2005;62(9):1007-1014. PubMed doi:10.1001/archpsyc.62.9.1007

26. Brenes GA, Danhauer SC, Lyles MF, et al. Telephone-delivered cognitive behavioral therapy and telephone-delivered nondirective supportive therapy for rural older adults with generalized anxiety disorder: a randomized clinical trial. JAMA Psychiatry. 2015;72(10):1012-1020. PubMed doi:10.1001/jamapsychiatry.2015.1154

27. Gros DF, Price M, Strachan M, et al. Behavioral activation and therapeutic exposure: an investigation of relative symptom changes in PTSD and depression during the course of integrated behavioral activation, situational exposure, and imaginal exposure techniques. Behav Modif. 2012;36(4):580-599. PubMed doi:10.1177/0145445512448097

28. Moreno FA, Chong J, Dumbauld J, et al. Use of standard webcam and internet equipment for telepsychiatry treatment of depression among underserved Hispanics. Psychiatr Serv. 2012;63(12):1213-1217. PubMed doi:10.1176/appi.ps.201100274

29. Fortney JC, Pyne JM, Edlund MJ, et al. A randomized trial of telemedicine-based collaborative care for depression. J Gen Intern Med. 2007;22(8):1086-1093. PubMed doi:10.1007/s11606-007-0201-9

30. Katon W, Schulberg H. Epidemiology of depression in primary care. Gen Hosp Psychiatry. 1992;14(4):237-247. PubMed doi:10.1016/0163-8343(92)90094-Q

31. Kessler RC, Ormel J, Demler O, et al. Comorbid mental disorders account for the role impairment of commonly occurring chronic physical disorders: results from the National Comorbidity Survey. J Occup Environ Med. 2003;45(12):1257-1266. PubMed doi:10.1097/01.jom.0000100000.70011.bb

32. Moussavi S, Chatterji S, Verdes E, et al. Depression, chronic diseases, and decrements in health: results from the World Health Surveys. Lancet. 2007;370(9590):851-858. PubMed doi:10.1016/S0140-6736(07)61415-9

33. Trombello JM, Trivedi MH. E-behavioral activation in primary care for depression: a measurement-based remission-focused treatment. In: Dimidjian S, ed. Evidence-Based Practice in Action. New York, NY: Guilford Press; in press.

34. Trivedi MH, Rush AJ, Wisniewski SR, et al; STAR*D Study Team. Evaluation of outcomes with citalopram for depression using measurement-based care in STAR*D: implications for clinical practice. Am J Psychiatry. 2006;163(1):28-40. PubMed doi:10.1176/appi.ajp.163.1.28

35. Trivedi MH, Daly EJ. Measurement-based care for refractory depression: a clinical decision support model for clinical research and practice. Drug Alcohol Depend. 2007;88(suppl 2):S61-S71. PubMed doi:10.1016/j.drugalcdep.2007.01.007

36. Culpepper L, Trivedi MH. Using measurement-based care with patient involvement to improve outcomes in depression. Prim Care Companion CNS Disord. 2013;15(6):doi:10.4088/PCC.12075co3c. PubMed doi:10.4088/PCC.12075co3c

37. Gaynes BN, Rush AJ, Trivedi MH, et al. Primary versus specialty care outcomes for depressed outpatients managed with measurement-based care: results from STAR*D. J Gen Intern Med. 2008;23(5):551-560. PubMed doi:10.1007/s11606-008-0522-3

38. Harding KJ, Rush AJ, Arbuckle M, et al. Measurement-based care in psychiatric practice: a policy framework for implementation. J Clin Psychiatry. 2011;72(8):1136-1143. PubMed doi:10.4088/JCP.10r06282whi

39. Kashner TM, Trivedi MH, Wicker A, et al. The impact of nonclinical factors on care use for patients with depression: a STAR*D report. CNS Neurosci Ther. 2009;15(4):320-332. PubMed doi:10.1111/j.1755-5949.2009.00091.x

40. Kurian BT, Grannemann B, Trivedi MH. Feasible evidence-based strategies to manage depression in primary care. Curr Psychiatry Rep. 2012;14(4):370-375. PubMed doi:10.1007/s11920-012-0290-y

41. Kurian BT, Trivedi MH, Grannemann BD, et al. A computerized decision support system for depression in primary care. Prim Care Companion J Clin Psychiatry. 2009;11(4):140-146. PubMed doi:10.4088/PCC.08m00687

42. Morris DW, Trivedi MH. Measurement-based care for unipolar depression. Curr Psychiatry Rep. 2011;13(6):446-458. PubMed doi:10.1007/s11920-011-0237-8

43. Rush AJ, Trivedi MH, Stewart JW, et al. Combining medications to enhance depression outcomes (CO-MED): acute and long-term outcomes of a single-blind randomized study. Am J Psychiatry. 2011;168(7):689-701. PubMed doi:10.1176/appi.ajp.2011.10111645

44. Shelton RC, Trivedi MH. Using algorithms and computerized decision support systems to treat major depression. J Clin Psychiatry. 2011;72(12):e36. PubMed doi:10.4088/JCP.10027tx4cc

45. Shelton RC, Trivedi MH. Using moderator-based algorithms and electronic medical records to achieve optimal outcomes in depression. J Clin Psychiatry. 2011;72(7):e24. PubMed doi:10.4088/JCP.10027wc6cc

46. Trivedi MH. Tools and strategies for ongoing assessment of depression: a measurement-based approach to remission. J Clin Psychiatry. 2009;70(suppl 6):26-31. PubMed doi:10.4088/JCP.8133su1c.04

47. Trivedi MH. Treating depression to full remission. J Clin Psychiatry. 2009;70(1):e01. PubMed doi:10.4088/JCP.8017br6c.e01

48. Trivedi MH. Evaluating and monitoring treatment response in depression using measurement-based assessment and rating scales. J Clin Psychiatry. 2013;74(7):e14. PubMed doi:10.4088/JCP.12075tx2c

49. Trivedi MH, Claassen CA, Grannemann BD, et al. Assessing physicians’ use of treatment algorithms: project IMPACTS study design and rationale. Contemp Clin Trials. 2007;28(2):192-212. PubMed doi:10.1016/j.cct.2006.08.005

50. Trivedi MH, Rush AJ, Gaynes BN, et al. Maximizing the adequacy of medication treatment in controlled trials and clinical practice: STAR(*)D measurement-based care. Neuropsychopharmacology. 2007;32(12):2479-2489. PubMed doi:10.1038/sj.npp.1301390

51. Warden D, Trivedi MH, Carmody T, et al. Adherence to antidepressant combinations and monotherapy for major depressive disorder: a CO-MED report of measurement-based care. J Psychiatr Pract. 2014;20(2):118-132. PubMed doi:10.1097/01.pra.0000445246.46424.fe

52. Katzelnick DJ, Duffy FF, Chung H, et al. Depression outcomes in psychiatric clinical practice: using a self-rated measure of depression severity. Psychiatr Serv. 2011;62(8):929-935. PubMed doi:10.1176/ps.62.8.pss6208_0929

53. Kurian BT, Greer TL, Trivedi MH. Strategies to enhance the therapeutic efficacy of antidepressants: targeting residual symptoms. Expert Rev Neurother. 2009;9(7):975-984. PubMed doi:10.1586/ern.09.53

54. Trivedi MH, Kurian B. Major depressive disorder: a measurement based approach. In: Taylor CB, ed. How to Practive Evidence-Based Psychiatry. Washington, DC and London, England: American Psychiatric Publishing, Inc.; 2010:183-193.

55. Morris DW, Toups M, Trivedi MH. Measurement-based care in the treatment of clinical depression. Focus. 2012;10(4):428-433. doi:10.1176/appi.focus.10.4.428

56. Martell CR, Dimidjian S, Herman-Dunn R. Behavioral Activation for Depression: A Clinician’s Guide. New York, NY: The Guilford Press; 2013.

57. Kroenke K, Spitzer RL, Williams JB. The PHQ-9: validity of a brief depression severity measure. J Gen Intern Med. 2001;16(9):606-613. PubMed doi:10.1046/j.1525-1497.2001.016009606.x

58. Spitzer RL, Kroenke K, Williams JB, et al. A brief measure for assessing generalized anxiety disorder: the GAD-7. Arch Intern Med. 2006;166(10):1092-1097. PubMed doi:10.1001/archinte.166.10.1092

59. Sanchez K, Eghaneyan BH, Trivedi MH. Depression Screening and Education: Options to Reduce Barriers to Treatment (DESEO): protocol for an educational intervention study. BMC Health Serv Res. 2016;16:322. PubMed

60. Warden D, Trivedi MH, Wisniewski SR, et al. Predictors of attrition during initial (citalopram) treatment for depression: a STAR*D report. Am J Psychiatry. 2007;164(8):1189-1197. PubMed doi:10.1176/appi.ajp.2007.06071225

61. Gajwani P. Can what we learned about reducing no-shows in our clinic work for you? Curr Psychiatr. 2014;13:13-15.

62. Deen TL, Fortney JC, Schroeder G. Patient acceptance of and initiation and engagement in telepsychotherapy in primary care. Psychiatr Serv. 2013;64(4):380-384. PubMed doi:10.1176/appi.ps.201200198

63. Lefforge NL, Donohue B, Strada MJ. Improving session attendance in mental health and substance abuse settings: a review of controlled studies. Behav Ther. 2007;38(1):1-22. PubMed doi:10.1016/j.beth.2006.02.009

64. Molfenter T. Reducing appointment no-shows: going from theory to practice. Subst Use Misuse. 2013;48(9):743-749. PubMed doi:10.3109/10826084.2013.787098

65. Nolen-Hoeksema S. Sex differences in unipolar depression: evidence and theory. Psychol Bull. 1987;101(2):259-282. PubMed doi:10.1037/0033-2909.101.2.259


*For the sample of all patients with full PHQ-9 scores at intake who were not currently in treatment (n = 115), descriptive statistics for PHQ-9 are mean (SD) = 14.03 (6.35) and for GAD-7 are mean (SD) = 11.61 (5.81), n = 101.

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