ADRIAN AGUILERA is associate professor at the School of Social Welfare.
Dr. Aguilera’s current research interests focus on utilizing digital health and mobile technologies to improve health and mental healthcare of low-income and ethnic minority populations, with a focus on Latino and Spanish speaking populations. He is also interested in understanding how culture and socioeconomic status influence mental health and mental health treatment.
A clinical psychologist, Dr. Aguilera is currently developing and testing the impact of an automated text messaging intervention to improve engagement with depression treatment in a public sector setting.
Research / Expertise
- Mobile Technology (mHealth) and Mental Health
- Digital health
- Latino Mental Health
- Health Disparities
- Cognitive-Behavioral Therapy for Depression
- Primary Care Based Mental Health
Automated Text Messaging to Improve Depression Treatment for Low-Income Populations
Adrian Aguilera, Principal Investigator
As an effort to develop innovative ways to engage patients with their health care providers, the study evaluates the development of an automated text-messaging adjunct to improve depression treatment among low-income, ethnic minority (including Spanish speakers) populations. Utilizing mobile phone based text messaging (or short messaging service: SMS) as a vehicle, the study expands upon previous work in various health applications of this technology across socioeconomic status.
Research questions address whether adding an automated SMS adjunct to group cognitive behavioral therapy (CBT) for depression can increase adherence (homework adherence, attendance, medication adherence) in order to improve the quality of care in public sector settings.
In the News
Audio: Public Health Minute (3.26.14)
'Text Therapy' May Ease Isolation (Berkeley News 4.13.2012)
Encouraging Text Messages Can Help with Mental Disorder Recovery, Research Finds (Daily Californian 04.12.12)
Aguilera, A., Figueroa, C. A., Hernandez-Ramos, R., Sarkar, U., Cemballi, A., Gomez-Pathak, L., ... & Lyles, C. (2020). mHealth app using machine learning to increase physical activity in diabetes and depression: clinical trial protocol for the DIAMANTE Study. BMJ open, 10(8), e034723.
Figueroa C.A., Aguilera, A. (2020). The need for a mental health technology revolution in the COVID-19 pandemic. Frontiers in Psychiatry.
Aguilera, A., Bruehlman-Senecal, E., DeMasi, O., Avila-Garcia, P., (2017) Automated text messaging as an adjunct to CBT for depression: A clinical trial. Journal of Medical Internet Research.
Aguilera, A., & Lyles, C.R. (2017) The Case for Jointly Targeting Diabetes and Depression Among Vulnerable Patients Using Digital Technology. JMIR Diabetes.
Bruehlman-Senecal, E., Aguilera, A., Schueller, S. M. (2017) Phone-based mood ratings prospectively predict psychotherapy attendance in a public hospital clinic. Behavior Therapy.
Suffoletto, B., & Aguilera, A. (2016). Expanding Adolescent Depression Prevention Through Simple Communication Technologies. Journal of Adolescent Health, 59(4), 373-374.
Vázquez, M. Y. G., Sexto, C. F., Rocha, Á., & Aguilera, A. (2016). Mobile Phones and Psychosocial Therapies with Vulnerable People: a First State of the Art. Journal of medical systems, 40(6), 1-12.
DeMasi, O., Aguilera, A., Recht, B. (2016) Detecting Change in Depressive Symptoms from Daily Wellbeing Questions, Personality, and Activity. Wireless Health 2016, Washington, D.C.
Aguilera, A., Schueller, S. M., & Leykin, Y. (2015). Daily mood ratings via text message as a proxy for clinic based depression assessment. Journal of affective disorders, 175, 471-474.
Aguilera, A. (2015). Digital Technology And Mental Health Interventions: Opportunities And Challenges. ARBOR Ciencia, Pensamiento y Cultura, 191(771), 10-3989.
Aguilera, A., & Berridge, C. (2014). Qualitative Feedback From a Text Messaging Intervention for Depression: Benefits, Drawbacks, and Cultural Differences. JMIR mHealth and uHealth, 2(4).
Leykin, Y., Aguilera, A., Pérez-Stable, E. J., & Muñoz, R. F. (2013). Prompting Depression Treatment Seeking among Smokers: A Comparison of Participants from Six Countries in an Internet Stop Smoking RCT. Journal of Technology in Human Services, 31(3), 238-247.
Aguilera, A., & Muench, F. (2012). There’s an app for that: Information technology applications for cognitive behavioral practitioners. The Behavior Therapist. 35(4), 65-73.
Morris, M. E., & Aguilera, A. (2012). Mobile, Social, and Wearable Computing and the Evolution of Psychological Practice. Professional Psychology: Research and Practice. 43(6), 622
Aguilera, A., Leykin, Y., Adler, N., Muñoz, R.F. (2012). Assessing the Impact of Relative Social Position and Absolute Community Resources on Depression and Obesity Among Smokers. American Journal of Community Psychology. 50(1-2), 211-6
Aguilera, A. & Muñoz, R.F. (2011) Text messaging as an adjunct to cognitive behavioral therapy: A feasibility/usability pilot study. Professional Psychology: Research and Practice. 42(6), 472-478
Aguilera, A., Lopez, S.R., Breitborde, N.J.K, Kopelowicz, A., Zarate, R. (2010). Expressed emotion, sociocultural context and the course of schizophrenia. Journal of Abnormal Psychology, 119(4), 875-85.
Aguilera, A., Garza, M.J., Munoz, R.F. (2010). Group Cognitive-Behavioral Therapy for Depression in Spanish: Culture Sensitive Manualized Treatment in Practice. Journal of Clinical Psychology, 66(8), 857.