Recent advances in the evidence base for technology-based behavioral health applications have provided clinicians a better understanding and guidance on the integration of these tools into clinical care. Participants will learn about research findings on current technologies in use in clinical practice, such as audio conferencing, video conferencing, and virtual reality, in addition to tools available for use between patients, such as the use of websites and mobile applications and wearable sensors.
💚😋Kolkata Escort Service Call Girls, ₹5000 To 25K With AC💚😋
Evidence Base for Using Technology Solutions in Behavioral Health Care
1. Evidence Base for Using Technology Solutions
in Behavioral Health Care
December 17, 2014, 1-2:30pm (EST)
Nancy A. Skopp, Ph.D.
Research Psychologist and Program Manager
National Center for Telehealth & Technology (T2)
Defense Centers of Excellence for Psychological
Health and Traumatic Brain Injury (DCoE)
Joint Base Lewis-McChord, Wash.
Christina M. Armstrong, Ph.D.
Clinical Psychologist, Program Lead for T2 Education & Training Program
National Center for Telehealth & Technology (T2)
Defense Centers of Excellence for Psychological
Health and Traumatic Brain Injury (DCoE)
Joint Base Lewis-McChord, Wash.
Janyce “Jae” Osenbach, Ph.D.
Research Psychologist and Psychometrician
National Center for Telehealth & Technology (T2)
Defense Centers of Excellence for Psychological
Health and Traumatic Brain Injury (DCoE)
Joint Base Lewis-McChord, Wash.
Presenters:
Moderator:
2. Webinar Overview
2
Recent advances in the evidence base for technology-based behavioral health
applications have provided clinicians a better understanding and guidance on the
integration of these tools into clinical care. Participants will learn about research
findings on current technologies in use in clinical practice, such as audio
conferencing, video conferencing, and virtual reality, in addition to tools available
for use between patients, such as the use of websites and mobile applications
and wearable sensors. Clinicians will leave this training with a review of the
evidence base for using technology solutions in behavioral health care that will
inform their clinical practice.
At the conclusion of this webinar, learners will be able to:
Describe a theoretical perspective useful in the conceptualization and
application of technology-based interventions for clinical practice
Differentiate between the concepts of synchronous and asynchronous
technologies with respect to behavioral health interventions
Examine the current status of literature on technologically-supported
behavioral health interventions
Assess potential gaps and recognize future trends in behavioral health
technology tools into clinical care
2
3. Disclosures
The views expressed in this presentation are those of the
presenters and do not reflect the official policy of the
Department of Defense or the U.S. Government.
We have no relevant financial relationships to disclose.
We will be discussing web and mobile applications that have
been developed by the Defense Department, including those
developed by the National Center for Telehealth and
Technology (T2). Some of these applications may fall under
FDA device regulations, and in those cases we will consult
with the USAMRMC Division of Regulated Activities and
Compliance for guidance.
3
4. Overview
1. Evidence Base and Theory
– Theory to inform modality selection
– Clinical practice technologies
– “White space” technologies
2. Key Concepts
– Media Synchronicity Theory
– Synchronous
– Asynchronous
4
5. 5
Synchronous - communication in real time
Asynchronous - communication not in real time
Definitions
6. Synchronous technologies support
convergence of understanding
Asynchronous technologies maximize the
conveyance of information to support
individual level analysis
6
(Dennis, et.al., 2008)
Media Synchronicity Theory
(MST)
10. Overview: Telephone
Interventions
10
Wide range of behavioral health applications1
Ability to overcome barriers to conventional
care2
Literature characterized by heterogeneity3
– Uses
– Type of treatment
– Research methods
1(Bee et al., 2008; Brenes, Ingram & Danhauer, 2012; Eakin, Lawler, Vandelanotte & Owen, 2007; Villanti, McKay,
Abrams, Holtgrave & Bowie, 2010; van Velthoven, Car, Car, & Atun, 2012)
2(Bee et al., 2008; Brenes et al., 2012; Eakin et al., 2007; Mohr, Vella, Hart, Heckman, & Simon, 2008)
3(Bee et al., 2008)
11. Telephone Interventions:
Applications
11
Depression1
Anxiety disorders2
Smoking cessation3
Alcohol abuse4
Health behaviors – HIV, weight management, chronic
disease prevention5
1(Bee et al., 2008; Choi et al., 2014; Mohr et al., 2008)
2(Bee et al. 2008; Brenes et al., 2012; Lovell et al., 2006)
3(Villanti et al., 2010)
4(Lenaerts, Mathei, Matthys, Zeeuws, Pas, Anderson & Aertgeerts, 2014)
5(Eakin et al., 2007; Simek, McPhate, & Haines, 2012; vanVelthoven et al., 2012)
12. Video Telehealth
Pros
Remote outreach
Increased access
Transportation $0.00
Remote treatment
for low-base-rate
problems
Cons
Technical issues
Confidentiality issues
No federal laws
Start-up costs and
remuneration
12
13. Video Telehealth at a Glance
1996-2012
Empirical
Studies
47 (of 65 studies); 45% were controlled
Most Common
Psychotherapy
45% CBT
Session
Format
71% individual; 17% group; 10% family; 2%
other
Populations 86% adult; 10% child/adolescent; 5% unclear
74% Civilian; 21% Veteran; 5% Civilian + Military
Feasibility 38% positive contributions
Therapeutic
Relationship
34% examined; 88% strong alliance
13
(Table 1. Backhaus et al., 2012)
14. Video Telehealth: Clinical
Applications
Anxiety and mood disorders1
Eating disorders2
Addiction2
Physical ailments2
Smoking Cessation3
Parenting and child problems4
1(Backhaus et al., 2012; Gros et al., 2013)
2(Backhaus et al., 2012)
3(Carlson et al., 2012)
4(Backhaus et al., 2012; Comer et al., 2013; Himle et al, 2012; Reese, Slone, Soares, & Sprang, 2012)
14
15. Video Telehealth (VT) Clinical
Outcome Data
VT
= In-persona
VT
≥ In-personb
Depression
Anxiety Disorders
Eating Disorders
Anger
Physical Health Problems
Smoking Cessation
Child Problems
Substance Abuse
Disorder
15
Table 2. aNo significant between group differences found; Backhaus et al., 2012; Gros et al., 2013; bNelson,
Barnard, & Cain, 2003; Bouchard et al., 2004; Choi et al., 2014;
16. Video Telehealth (VT):
General Empirical Findings
VT works
Literature to support efficacy of VT
- Heterogeneous groups
- Diverse range of problems
Some literature does not support VT
- Individual differences
- Nature of the disorder?
(Backhaus et al., 2012; Gros et al., 2013)
16
17. Video Telehealth: VA and DoD
17
Driving force of video telehealth
Ongoing and completed RCTs
Preliminary evidence supports VT
VT comparable to in-person therapy
Majority of VT is facility-to-facility
(Gros et al., 2013)
18. Video Telehealth: Recent VA RCT
Telemedicine Outreach for PTSD (TOP)
11 outpatient units serving rural veterans
Cognitive processing therapy (CPT) >
Usual care
18
(Fortney et al., 2014)
19. Video Telehealth: Research
Gaps
19
Influence of demographics
More non-inferiority trials needed
Majority of research on PTSD
Need research on process variables
(Backhaus et al., 2012; Gros et al., 2013)
36. Conclusion
In conclusion, during this webinar we:
Described a theoretical perspective useful in the
conceptualization and application of technology-based
interventions for clinical practice
Differentiated between the concepts of synchronous and
asynchronous technologies with respect to behavioral health
interventions
Examined the current status of literature on technologically
supported behavioral health interventions
Assessed potential gaps and recognized future trends in
using behavioral health technology tools in clinical care
36
37. References
Aguirre, R. T. P., McCoy, M. K., & Roan, M. (2013). Development guidelines from a study of suicide
prevention mobile applications (apps). Journal of Technology in Human Services, 31(3), 269-
293.
Backhaus, A., Agha, Z., Maglione, M.L., Repp, A. Ross, B.,…et al., Thorp, S.R. (2012).
Videoconferencing Psychotherapy: A systematic review. Psychological Services, 9, 111-131.
Bee, P.E., Bower, P. Lovell, K., Gilbody, S., Richards, D., Gask, L., & Roach, P. (2008). Psychotherapy
mediated by remote communication technologies: A meta-analytic review. BioMed Central
Psychiatry, 8, 60.
Ben-Zeev, D., Schueller, S. M., Begale, M., Duffecy, J., Kane, J. M., & Mohr, D. C. (2014). Strategies
for mHealth research: Lessons from 3 mobile intervention studies. Administration and Policy in
Mental Health and Mental Health Services Research, Advance online publication.
37
38. References
Brenes, G.A., Ingram, C.W., & Danhauer, S.C. (2011). Benefits and challenges of conducting
psychotherapy by telephone. Professional Psychology: Research and Practice, 42, 543-549.
Bouchard, S., Paquin, B., Payeur, R., Allard, M., Rivard,V., Fournier, T.,…Lapierre, J. (2004).
Delivering cognitive-behavior therapy for panic disorder with agoraphobia in videoconference.
Telemedicine Journal and e-health, 10, 13-25.
Boudreaux, E. D., Waring, M. E., Hayes, R. B., Sadasivam, R. S., Mullen, S., & Pagoto, S. (2014).
Evaluating and selecting mobile health apps: Strategies for healthcare providers and healthcare
organizations. Translational Behavioral Medicine, Advanced online publication
38
39. References
Bush, N. E., Dobscha, S. K., Crumpton, R., Denneson, L. M., Hoffman, J. E., Crain, A., ... & Kinn, J. T.
(2014a). A virtual hope box smartphone app as an accessory to therapy: Proof‐of‐concept in a
clinical sample of veterans. Suicide and Life-Threatening Behavior, Advanced online publication.
Bush, N. E., Ouelette, G., & Kinn, J. (2014b). Utility of the T2 Mood Tracker mobile application among
Army Warrior Transition Unit service members. Military Medicine, In press.
Bush, N. E., Prins, A., Laraway , S., O’Brien, K., Ruzek, J., & Ciulla, R. (2013a). A pilot evaluation of
the afterdeployment.org online posttraumatic stress workshop for military service members and
veterans. Psychological Trauma: Theory, Research, Practice, and Policy, Advance online
publication.
Bush, N. E., Skopp, N. A., Smolenski, D., Crumpton, R., & Fairall, J. (2013b). Behavioral screening
measures delivered with a smartphone ‘app’: Psychometric properties and user preference.
Journal of Nervous and Mental Disease, 201(11), 991-995.
39
40. References
Castonguay, L.G., Constantino, M.J., & Holtforth, M.G. (2006). The working alliance: Where we are and where should
we go? Psychotherapy, 43, 271-279.
Carlson, L.E., Lounsberry, J.J., Maciejewski, O., Wright, K., Collacutt, V., & Taenzer, P. (2012). Telehealth-delivered
group smoking cessation for rual and urban participants: Feasibility and cessation rates. Addictive Behaviors, 27,
108-114.
Cavanagh, K., & Millings, A. (2013). (Inter) personal computing: The role of the therapeutic relationship in e-mental
health. Journal Contemporary Psychotherapy, 4, 197-206.
Choi, N.G., Marti, C.N., Bruce, M.L., Hegel, M.T., Wilson, M.A., & Kunik, M.E. (2014). Six-month postintervention for
depression and disability outcome of in-home telehealth problem-solving therapy for depressed, low-income
homebound older adults. Depression and Anxiety, 31, 653-661.
Comer, J.S., Furr, J.M., Cooper-Vince, C.E., Kerns, C.E., Chan, P.T., Edson, A.L., …et al., Freeman, J.B. (2013).
Internet-delivered, family-based treatment for early onset OCD: A preliminary case series. Journal of Clinical
Child & Adolescent Psychology, 43, 74-87.
40
41. References
DeLucia, P., Harold, S.A., & Tang, Y. (2013). Innovation in Technology-aided psychotherapy through
human factors/ergonomics: Toward a collaborative approach. Journal of Contemporary
Psychotherapy, 43, 253-260.
Dennis, A.R., Fuller, R.M., & Valacich, J.S. (2008). Media, tasks, and communication processes: A
theory of media synchronicity. MIS Quarterly, 32, 575-600.
Donker, T., Petrie, K., Proudfoot, J., Clarke, J., Birch, M. R., & Christensen, H. (2013). Smartphones
for smarter delivery of mental health programs: A systematic review. Journal of Medical Internet
Research, 15(11), e247.
41
42. References
Eakin, E.G., Lawler, S.P., Vandelanotte, C., & Owen, N. (2007). Telephone interventions for physical
activity and dietary behavior change: A systematic review. American Journal of Preventive
Medicine, 32, 419-434.
Fortney, J.C., Pyne, J.M., Kimbrell, T.A., Hudson, T.J., Robinson, D.E., Schneider, R., Moore, W.M,
…et al., Schnurr, P.P. (2014). Telemedicine-based collaborative care for posttraumatic stress
disorder: a randomized clinical trial. JAMA Psychiatry. Epub ahead of print.
Gaggioli, A., & Riva, G. (2013). From mobile mental health to mobile wellbeing: Opportunities and
challenges. Studies in Health Technology and Informatics, 184, 141-147.
Gros, D.F., Morland, L.A., Greene, C.J., Acierno, R., Strachan, M., Egede, L.E., …et al., Frueh, B.C.
(2013). Delivery of evidence-based psychotherapy via video telehealth. Journal of
Psychopathology and Behavioral Assessment, 35, 506-521.
42
43. References
Hatcher, R.L., Barends, A., Hansell, J., & Gutfreund, M.J. (1995). Patients’ and therapists’ shared and
unique views of the therapeutic alliance: An investigation using confirmatory factor analysis in a
nested design. Journal Consulting and Clinical Psychology, 63, 636-643.
Himle, M.B., Freitag, M., Walther, M., Franklin, S.A., Ely, L., & Woods, D.W. (2012). A randomized pilot
trial comparing video conference versus face-to-face delivery of behavior therapy for childhood
tic disorders, 50, 565-570.
Jarvis-Selinger, S., Chan, E., Payne, R., Polhman, L.L.M., & Kendall, H. (2008). Clinical telehealth
across the disciplines: Lessons learned. Telemedicine and e-Health, 14, 720-725.
Juarascio, A. S., Manasse, S. M., Goldstein, S. P., Forman, E. M., & Butryn, M. L. (2014). Review of
smartphone applications for the treatment of eating disorders. European Eating Disorders
Review, Advanced online publication.
Lawlor, A., & Kirakowski, J. (2014). Online support groups for mental health: A space for challenging43
44. References
Lenaerts, E., Mathei, C., Matthys, F., Zeeuws, D., Pas, L., Anderson, P., & Aertgeerts, B. (2014).
Continuing care for patients with alcohol use disorders: A systematic review. Drug and Alcohol
Dependence, 135, 9-21.
Lovell, K., Cox, D., Haddock, G., Jones, C., Raines, D., Garvey, R., Roberts, C., & Hadley, S. (2006).
Telephone administered cognitive behaviour therapy for treatment of obessive compulsive
disorder: randomized controlled non-inferiority trial. British Medical Journal, 333, 883-886.
Luxton, D. D., Hansen, R. N., & Stanfill, K. (2014). Mobile app self-care versus in-office care for stress
reduction: A cost-minimization analysis. Journal of Telemedicine and Telecare, Advanced online
publication.
44
45. References
Mohr, D. C., Burns, M. N., Schueller, S. M., Clarke, G., & Klinkman, M. (2013). Behavioral intervention
technologies: Evidence review and recommendations for future research in mental health.
General Hospital Psychiatry, 35(4), 332-338.
Mohr, D.C., Vella, L., Hart, S., Heckman, T., & Simon, G. (2008). The effect of telephone-administered
psychotherapy on symptoms of depression and attrition: A meta-analysis. Clinical Psychology:
Science and Practice, 15, 243-253.
Morie, J.G., Haynes, E., & Chance, E. (2011). Warriors’ journey: A path to healing through narrative
exploration. International Journal of Disability and Human Development, 10, 17-23.
Nelson, E.L., Barnard, M., & Cain, S. (2003). Treating childhood depression over videoconferencing.
Telemedicine Journal ande-Health, 9, 49-55.
Norcross, J.C. (2011). Psychotherapy Relationships that Work: Evidence-Based Responsiveness. 2nd
45
46. References
Pridmore, J., & Phillips-Wren, G. (2011). Assessing decision making quality in face-to-face teams
versus virtual teams in a virtual world. Journal of Decision Systems, 3, 283-308.
Reese, R.J., Slone, N.C., Soares, N., & Sprang, R. (2012). Telehealth for underserved families: An
evidence-based parenting program. Psychological Services, 9, 320-322.
Richards, D., & Richardson, T. (2012). Computer-based psychological treatments for depression: A
systematic review and meta-analysis. Clinical Psychology Review, 32(4), 329-342.
Riva, G., Wiederhold, B.K., Mantovani, F., & Gaggioli, A. (2011). Interreality: The experiential use of
technology in the treatment of obesity. Clinical Practice and Epidemiology in Mental Health, 7,
51-61.
Seko, Y., Kidd, S., & Wiljer, D. (2013). Apps for those who help themselves: Mobile self-guided
interventions for adolescent mental health. Selected Papers Of Internet Research, 3. Retrieved
from http://spir.aoir.org/index.php/spir/article/view/833
46
47. References
Simek, E.M., McPhate, L., & Haines, T.P. (2012). Adherence to and efficacy of home exercise
programs to prevent falls: A systematic review and meta-analysis of the impact of exercise
program characteristics. Preventive Medicine: An International Journal Devoted to Practice and
Theory, 55, 262-275.
Stefan, S., & David, D. (2013). Face-to-face counseling versus high definition holographic projection
system. Efficacy and therapeutic alliance. A brief report. Journal of Cognitive and Behavioral
Psychotherapies, 13, 299-307.
Sucala, M., Schnur, J. B., Constantino, M. J., Miller, S. J., Brackman, E. H., Montgomery, G.H. (2012).
The therapeutic relationship in E-therapy for mental health: A systematic review. Journal of
Medical Internet Research, 14:e110
West, J. H., Hall, P. C., Hanson, C. L., Barnes, M. D., Giraud-Carrier, C., & Barrett, J. (2012). There’s
an app for that: Content analysis of paid health and fitness apps. Journal of Medical Internet
47
48. References
vanVelthoven, M.H.M.T., Car, L.R., Car, J., & Atun, R. (2012). Telephone consultation for improving
health of people living with or at risk of HIV: A systematic review. PLoSONE, 7, e36105-e36105
Villanti, A.C., McKay, H.S., Abrams, D.B., Holtgrave, D.R., Bowie, J.V. (2010). Smoking-cessation
interventions for U.S. young adults: A systematic review. American Journal of Preventive
Medicine, 39, 564-574.
Yuen, E.K., Herbert, J.D., Forman, E.M., Goetter, E.M., Comer, R., & Bradley, J. (2013). Treatment of
social anxiety disorder using online virtual environments in second life. Behavior Therapy, 44,
51-61.
48
49. Nancy A. Skopp, Ph.D.
49
Dr. Nancy Skopp is a Research Psychologist and
Program Manager in the Research, Outcomes
and Investigations Division at the National Center
for Telehealth & Technology (T2), U.S.
Department of Defense.
She is also an Affiliate Associate Professor at the
University of Washington’s Department of
Psychiatry & Behavioral Sciences.
She is a Clinical Psychologist currently licensed
in the states of Texas and Washington.
She holds doctoral and master’s degrees in
Clinical Psychology from the University of
Houston.
Nancy Skopp, Ph.D.
50. Janyce “Jae” Osenbach,
Ph.D.
50
Jae Osenbach, Ph.D.
Dr. Jae Osenbach is a Research Psychologist
and Psychometrician in the Mobile Health
Program at the National Center for Telehealth &
Technology (T2), U.S. Department of Defense.
She serves as a subject matter expert on mobile
apps and websites related to issues involving
military and veteran psychological health and
traumatic brain injury.
She is also the lead for the Mobile Health
Program’s evaluations, surveys and
assessments, and serious games for behavioral
health.
She holds a doctoral degree in Psychometrics
and Quantitative Psychology and a master’s
degree in Psychology from Fordham University.
52. DCoE Contact Info
DCoE Outreach Center
1-866-966-1020 (toll-free)
http://www.dcoe.mil/
resources@dcoeoutreach.org
5252
Editor's Notes
Hello and welcome!
Thanks so much for participating in this Webinar. I am very pleased to be here and to have this opportunity to share empirical findings technology-based behavioral health modalities.
We’ll be discussing theory to inform the selection of technology-based behavioral health tools and treatment modalities as and empirical findings on clinical practice and “white space” technologies.
I would like to introduce some key concepts we will be discussing today as you see displayed here
MST
synchronous and asynchronous technologies
The various behavioral health technologies we will be discussing are grouped within synchronous and asynchronous communication categories.
Many of you may already be familiar with these concepts, very simply…
The former denotes communication between parties that occurs in real time (i.e.,video telehealth, telephone)
The latter denotes communication between parties that does not occur at the same time (i.e., mobile app, websites).
MST is currently a leading theoretical model to guide selection of technology-based communication modalities (Dennis et al. 2008)
MST proposes that communication – which undergirds all bx health tech, can be broken into two basic processes: conveyance and convergence.
The convergence process is the process of mutually agreeing on the meaning of the information (or failing) to agree).
requires fewer cognitive resources because most of the information has already been conveyed and incorporated into the participants’ mental models
Convergence is enhanced by media high in synchronicity such as video telehealth because it allows for more give and take between therapist and patient to arrive at mutual understanding
The conveyance process is the transmission of new information and the processing of that information by the receiver to
create or modify his/her mental representation
Conveyance is maximized by media that are asynchronous
Requires cognitive resources to read, understand, and integrate the information into a mental model
Extending this model to technology facilitated behavioral health interventions, the white space between sessions corresponds to conveyance or the processing of novel information by the patient and the treatment sessions correspond to convergence in that the patient and therapist are processing the meaning of the information and putting it into context.
Moreover, MST can be useful in guiding the selection of modality for technologically-based behavioral health interventions.
The basic premise here is to match the media to the relevant communication process that you wish to support
Conveyance denotes the transmission of information to an individual for individual level processing.
Patients can benefit from mobile apps in the “white space”
They can process information at their own pace
reach an individual level of understanding that they can carry back into the session with their providers
Convergence denotes more complex process of interpersonal information processing in the moment
Synchronous media support the development of shared understanding between individuals
During the therapy sessions, the convergence of shared meaning is achieved as patient and therapist process information together in real time.
Moreover, asynchronous and synchronous technologies support two different communication functions that together support the success in the delivery of treatment and ultimately treatment outcomes.
Conveyance and convergence processes will be performed at differing leveling and intensities depending on how familiar the participants are with the task, selected technology, and each other.
Hence, additional factors influence successful treatment delivery and outcomes.
Therapeutic alliance
Technology that is functioning properly and well thought out
Training for providers and patients to ensure proper execution
In this next section, I will review the empirical base on the technologies displayed here.
Many may not immediately think of telephone mediated interventions in a discussion of technology based behavior health, however there is actually a fairly substantial empirical base on such interventions.
Telephone interventions are associated with a number of benefits and in certain instances may be offer significant advantages over other technologies
For the purposes of this presentation, I will use the term “telephone intervention”
This blanket term covers both therapy that is wholly mediated via telephone as well as interventions that may contain an “extended telephone support” component
or those in which the telephone support is provided in a form that does not constitute therapy per se such as case management
Telephone interventions have been applied to a broad range of behavior health problems including depression, anxiety, smoking cessation, and others
Telephone therapy can help overcome barriers to treatment and deliver efficacious treatment
A major obstacle in the delivery of MH services is the lack of availability of empirically supported treatments, particularly in rural areas (Mitchell et al. 2008)
Provides assess to patients who might not otherwise be served
They also noted that the LITERATURE IS HETEROGENEOUS ACROSS USES, TYPE OF TREATMENT, ETC.
METHODOLOGICAL SHORTCOMINGS CALL FOR MORE RIGOROUS TRIALS
Most of the work has been conducted on Depression (Mohr et al. 2008)
Bee and colleagues (2008) conducted a systematic meta-analytic review of psychotherapy mediated by remote technologies
The pooled effect size for depression intervention across 7 studies was .44 (medium) Majority constrasted against ususal care
Mohr et al., 2008 did meta-analysis of telephone mediated psychotherapy (12 trials; 8= CBT)
Pre-to post ES = .81, comparable to in-person depression treatment
Mean attrition was 7.6% across all studies vs. 46.9% drop-out from Face-to-face psychotherapy (Wierzbicki & Pakarik, 1993)
Choi et al. (2014) –3- arm study for depressed, home-bound older adults;
Participants with telephone support experienced some symptom reductions between baseline and 12 weeks, owing to caring social interactions because these were socially isolated older adults. However, the continued decline in their depressive symptoms between 12 and 36 weeks is surprising
Brenes et al. (2011) RCT of GAD for the elderly (over 60) telephone CBT vs. supportive therapy
Declines several indices
ES’s .61 - .85
Patients reported high satisfaction
Attrition was only 8.3%
Swinson (1995) ES = 0.98 for Telephone BT for agoraphobia –RURAL Primary Care patients – WLC
Lovell et al. (2006) – Telephone vs. In-person –
randomized controlled non-inferiority trial –
Exposure/RP treatments found to be equivalent w/ high patient satisfaction
of note, telephone calls were 50% shorter duration (30 minute sessions) N=72
Villanti et al., 2010 Systematic review found promising smoking cessation interventions were brief with extended telephone support and electronic media
Lenaerts et al., 2014 Systematic review of continuing care for patients with alcohol use disorders by for alcohol -- more data needed – recommend telephone follow-up with a specialized nurse and calls initiated at pre-defined times by the patients themselves.
van Velthoven et al., 2012 –Systematic Review of Telephone Consultation for Improving Health of People with or at risk for HIV Van Velthoven conducted systematic review of the effectiveness of telephone consultation for HIV/AIDS
Giving telephone or in-person option of HIV test results vs in-person at the clinic; results given via telephone can increase the number of persons receiving their results and help support HIV-positive smoking
Inconsistent findings for improving treatment adherence and MH outcomes
Systematic Review of Telephone Interventions for Physical Activity and Dietary Behavior Change (Eakin et al., 2007)
Solid evidence base support the efficacy of these behavior change interventions in which the telephone is the principal intervention method
Average effect size was .60 (moderate) – 20/26 studies showed positive bx change
Positive results were reported in:
69% of physical activity studies
83% of the dietary behavior studies
75% of interventions containing both components
Length of intervention (6-12 Months) and number of calls (≥ 12) associated with positive outcomes
Physical activity and dietary behavior changes key to prevention and management of chronic diseases
Next let’s focus on video teleheath,
VT studies, in general involve: video monitor with mounted video camera and telecommunication connection set up in MH clinic in local and remote sites
Many of the pros of video telehealth overlap with telephone interventions with the added benefit of visual cues but increased possibility of technology dysfunction and increased training and technical support requirements, and costs
Backhaus and colleagues recently conducted a systematic review of peer-reviewed articles to comprehensively examine many facets of psychotherapy delivered video telehealth
CBT was the most common therapy type 45%; about 25% were categorized as “eclectic, various, or undefined”
3 (7%) studies examined family therapy -remaining were a psychoanalysis, biofeedback, Eye Movement Desensitization and Reprocessing (EMDR), Problem Solving, Coping Skills for PTSD and a few others.
Populations largely civilian; 60% male
At least one standardized measure with well-accepted psychometrics was reported by 29 (69%) of the empirical studies – SCID & BDI most commmon
FEASIBILITY -Positive contributions include:
reductions in travel burdens and costs,
reduced intervention costs,
increased accessto care for rural, underserved, or geographically isolated populations
Backhaus et al. 2012 reviewed 47 empirical studies; Gros et al., 2013 reviewed the literature on Evidence-Based Psychotherapy
Comer et al., 2013; Participants in the preliminary case series
5 children between the ages of 4 and 8
showed OCD symptom improvements and global severity improvements
60% no longer met diagnostic criteria for OCD at posttreatment.
No participants got worse,
all mothers characterized the quality of services received as ‘‘excellent.’’
Reese et al., 2012; small pilot
Evidence-based parenting ADHD (decrease in parent stress; -.34 and child bx problems; -1.23)
“DIFFERENCES REPORTED FOR VT AND IN-PERSON WERE GENERALLY SMALL AND NOT CONSISTENT ACROSS STUDIES, MEASURES, AND DISORDERS.”
At least 3 of studies showed that VT was superior to in-person
Choi et al., (2014) 3-arm RCT of depression among 158 older, low-income home-bound adults – Problem Solving Therapy (PST)
VT and in-person were both efficacious
Effects of VT-PST were sustained longer than in-person PST;
Depression at 36 weeks ES-- VT = .68; in person=.20
Disability at 36 weeks ES – VT=.47; in-person=.25
Older adults adapted quickly to pc when saw convenience and in-person like quality; gave high ratings
Could, in part, account for the differences
Longer and more distractions during in-home sessions – perhaps VT appears more professional
Bouchard et al. 2004 PD study 21 participants; VT was not randomly assigned – based on geographic location.
Both groups - significant pre to post treatment improvement in panic, anxiety, depression, and impairment.
VT should greater reduction in panic frequency than in person;
no randomization & small sample size.
Nelson et al., 2003 - RCT for childhood depression with 28 children aged 8-14 were randomized to 8 weekly sessions of CBT for MDD;
VT vs in-person from the same facility; both groups had significant pre to post tx symptom reduction
Remission rate = 82% across the total sample.
VT group showed significantly faster decline in depressive symptoms compared to the in-person group.
No differences in attrition or session attendance.
VT group reported high satisfaction, in spite of occasional technology glitches
Hypotheses about higher response for VT: 1. Novel, made patients feel “special” and this maximized tx; chance variation – this findings was not consistent across outcome measures.
PTSD has received the most attention
PTSD – more research needed – finding are mixed; 3 exposure studies showed larger effect sizes for in the in-person treatment conditions
These findings contrast with non-exposure based tx that demonstrate similar outcomes across treatment conditions (Morland et al. 2010; 2011; Cognitive Processing Therapy -CPT).
Specific treatment techniques unique to exposure therapy and potentially less effective via VT?
Eating disorders – several studies of varying quality – overall support for
Mitchell et al. 2008; RCT for bulimia (N = 128); pre to post reductions in binge eating, purging and depression; however in-person showed significantly less binge eating, purging than VT;
Weekly weigh in was not done; could help explain, also technical and logistical problems at remote cite …MORE RESEARCH IS NEEDED.
Anger Management – Moreland et al. 2010 RCT with 125 veterans
Group CBT for anger in PTSD patients
no differences were found for anger, PTSD or process variables
therapeutic alliance significantly higher for in-person condition
Physical Health Problems –
Chronic pain, cancer, obesity (non-randomized control), epilepsy (only in-perosn RCT) – all positive results in terms of psychiatric sx reduction; no significant differences for epilepsy study- both group improved
Child problems-
Depression (Nelson et al., 2003)
Childhood tic disorder (Himle et al. 2012)
Addictive Behaviors – initial support for the use of technology to deliver limited individual and group treatments for addictive behaviors.
Potential benefit of confidentiality for VT;
interesting that there were positive findings;
tx of addiction calls for drug screening, breathalyzers and management of intoxication;
MORE RESEARCH IS NEEDED for SEVERE substance use and how to incorporate safety and assessment procedures.
Overall, the future of video Telehealth in psychotherapy and clinical practice looks bright, particularly for the dissemination and implementation in EBPs in underserved areas and populations.
Findings for anxiety disorders suggest that VT is a viable tx option, especially when in person-tx may be difficult (Gros et al., 2013)
ADDITIONAL RESEARCH IS NEEDED ON SPECIFIC TREATMENT PRACTICES THAT MAY BE DIFFICULT TO COMPLET VIA VT, ESPCIALLY DX WHERE GROUP DIFFERENCES WERE FOUND (I.E., IMAGINAL EXPOSURE, IN-SESSION WEIGHING FOR EATING DISORDERS)
Ongoing studies at the VA with non-inferiority designs and large sample sizes ~200 patients in the studies
VT vs in-person RCT BA for depression in older veterans
VA and exposure for active and retired SMs with PTSD
PE for veterans with PTSD
Group CPT for veterans with PTSD
Fortney et al., 2014 - treatment resistant veterans
Results
TOP intervention
increased engagement in CPT –
TOP had 18x greater odds of initiating CPT
8x greater odds of completing at least 8 sessions
Attending at least 8 sessions fully mediated effect of the TOP intervention
Step beyond examining the difference between in-person vs. VT
Goal was to examine the effectiveness of a collaborative care model to improve access and engagement in pharmacotherapy and psychotherapy among rural veterans
Compared to usual care at VA community based distant VA and VA Community Based Outpatient clinics – Veterans had access to CPT and other tx
TOP = menu of services to increase engagement – e.g., case mgr, pharmacist (telephone)- telepsychologist delivered CPT
No symptom improvement among UC group!
Age, gender, racial/ethnic differences
Bulk of existing studies have relied on superiority designs
Better understanding of potential differences or lack thereof can be obtained w/ non-inferiority designs
Non-inferiority design is especially suited for VT research
can determine if a novel intervention does not significantly differ from a standard intervention(Greene et al., 2008)
pre-specified margin
Gros et al. 2013 LIMITATIONS FOR VT
Of 26 studies only 9 were RCTs
Many studies small n
More research is needed on nearly most dx
As clinical outcomes have been shown to be roughly consistent across VT and in-person, more research is needed to understand which VT practices may be more beneficial than in-person practices
Process variables: attrition, adherence, satisfaction and expectancy
Provider of VT need to coordinate setup and maintenance with second treatment site or patients (home-based)(Gros et al., 2013);
Training for therapist and patient
AV settings should be inspected prior to each session and a backup procedures should be in place if technologies fail (e.g., phone),
Patient orientation; providers need contact information for ER services in patient’s locality prior to first appt
Orientation sessions that review operation of equipment, troubleshooting (e.g., checking connections to power supply, Internet)
Room Set-up: lighting and monitor & chair placement in such a way the intervention does not appear to be dominated by one party or overly distant (Mitchell et al., 2008)
Development of protocols –
Users create an avatar
navigate through an 3-D virtual environment where they do activities and interact with other avatars
A number of studies on VW for distance education
VW for behavioral health treatments in infancy
Yuen et al., (2013) did pilot of Acceptance Based Behavior Therapy (ABBT) for social anxiety disorder - 12 weekly 1/hour sessions (n=14)
VW Exposure -Practiced interacting with confederates at a bar; giving speeches
Acceptability = 93% patients (very, mostly) Providers 100%
Decreased avoidance – 86% agreed
Therapists “Fairly feasible” – tech probs
14% dropout rate
ES for social anxiety measures d=1.14 to 1.50
80% of people with social anxiety dx don’t get tx – Barriers – stigma, fear of negative eval
Limitations
Could not see each others faces – therapists could not read facial and body lang./patients expressed discomfort not seeing therapis
Not clear if exposure in VW translates well outside session
Riva et al., (2009) examined VW for obesity with a fast food worker
Learning area (food mgt, stress mgt, food choice edu, etc.)
Community area meet patients with same problem
Practice area – controlled exposure in critical situations
Stefan & David (2013): in-person Rational Emotive Therapy vs. VT with Holopodium (eonReality.com) – therapist is a hologram
RCT with 56 students
Outcome = distress and irrational beliefs, and therapeutic alliance – no significant differences found
Telepresence provides the experience of being assembled in the same physical space.
Telepresence systems approximate a “true-to-life” quality by minimizing spatial distortions (e.g., disparities in orientation) to create “shared geometries”
Technical
Underscore importance of training
How to troubleshoot problems
Interpersonal & Individual Factors
Empirical evidence supports that strong therapeutic alliance is possible with VT (DeLucia et al., 2013)
Design/implementation of video-conferencing technologies can affect communication, collaboration, trust – so potentially therapeutic rel.
More research needed (Sucala et al., 2012) – systematic review 840 studies, only 11 examined; 6 as prinicipal objective
Client preferences – consideration of stigma, comfort with tech, communication style
Different dx may differentially respond to VT - more research needed
Web is prolific, large number of randomized controlled trials (or RCTs)
Huge body of evidence for clinical and white spaces
High effect sizes (how effective the study was)
Many at 0.5 or greater, fairly large effect
Efficacy across a broad range of mental health outcomes
Depression to schizophrenia, no rock unturned
One concerning finding: unmoderated support groups – exacerbated symptoms
Those with exacerbated symptoms use forums, or forums increasing symptoms
Not a lot of research out there
Dozen good RCTs
No research on the use of apps in the white space
All use in clinical space
Quite a few listed in process on clinicaltrials.gov
Effective for symptom management
Effect sizes between .3 to .5, so moderate to large
Privacy is a big issue for users
Most apps used device’s GPS, or location recording, system
Majority of apps do not encrypt data
Most important finding so far – symptom assessments are psychometrically valid
Found in both paper-and-pencil and computer-delivered comparisons
Not a lot of RCTs, quite a few studies of app marketplaces
Most mental health apps are on the
iOS, which is Apple, or
Android, which is Google, platforms
Concerning disconnect of mental health app development
Highest quality on iOS
Most users have Android
Majority of apps focused on depression, anxiety, or stress
Not much out there on smoking cessation or sleep
Many apps are not high-quality
Less than one-fifth have evidence-based principles
Most lack citations or references – leaves user on their own
Most concerning
20 eating disorder apps, only 3 are evidence based (less than 15%)
27 suicide prevention, less than half include crisis hotline
Paid-App fallacy
Users assume expensive apps are better quality
Want a good game? 99 cents!
Not a “big name?” = no user confidence
Best evidence-based apps are free
Challenge for app developers, like T2
Need more research on apps!
Majority focused on feasibility and usability
Need more RCTs
Minimize the risk of bias
Determine efficacy
Problem = speed of technology
RCT designs and grant applications take too long
3 year study now = obsolete app
Component testing with small samples
Not very popular
Not all-inclusive
Solution = speed up RCT process!
Cover more areas of mental health
Future of devices
Movement towards mobile-Web, or device-responsive design
Integration between apps and biometric trackers, like fitbit
Apple Watch – “chunks”
User doesn’t differentiate between apps and Web
Huge gap for research
Super exciting!
Here at T2 = over 50 studies on our products
Everything developed from evidence-based practices
Frequently consult subject matter experts during design
A few of the studies we have going on:
RCT on telephone counseling for mild traumatic brain injury
RCT on in-home depression treatment using video conferencing
Reduced PTSD symptoms using AfterDeployment PTSD workbook
Military Kids Connect website best for tweens, ages 9 to 13
Dr. Nigel Bush’s research on Virtual Hope Box app
Users preferred the app to a physical hope box
T2 Mood Tracker was used with the Warrior Transition Battalion
3 week period – used every other day
Breathe2Relax – cost-offset at 700 users