Technology-facilitated depression care management among predominantly Latino diabetes patients within a public safety net care system: Comparative effectiveness trial design

Wu, Shinyi; Ell, Kathleen; Gross-Schulman, Sandra; Sklaroff, Laura Myerchin; Katon, Wayne; Nezu, Art M.; Lee, Pey Jiuan; Vidyanti, Irene; Chou, Chih Ping; Guterman, Jeffrey J.

doi:10.1016/j.cct.2013.11.002

Cited by 51 publications

(86 citation statements)

References 66 publications

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“…The DCAT study recently completed testing of automated patient calls to assist timepressured medical and behavioral providers by routinely screening and monitoring patient depression symptoms, treatment adherence and communication with providers [30,31]. A fully automated telephonic depression assessment system, provided in Spanish or English, was selected as the communication platform because phones are the most accessible technology among safety net care patients.…”

Section: Discussionmentioning

confidence: 99%

“…The trial was a quasi-experimental comparative effectiveness clinical trial conducted on predominantly Hispanic patients with Type 2 diabetes in collaboration with the Los Angeles County Department of Health Services (DHS) at eight county-operated clinics comparing three delivery models in three groups: usual care (UC), supported care (SC) and supported and technology-facilitated care (TC) [30,31]. DCAT was approved by the University of Southern California, Olive View UCLA Medical Center and the Los Angeles Biomedical Research Institutional Review Boards.…”

Section: Study Population Sampling and Designmentioning

confidence: 99%

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Demographic, clinical and psychosocial factors identify a high-risk group for depression screening among predominantly Hispanic patients with Type 2 diabetes in safety net care

Ell

Katon

Lee

et al. 2015

General Hospital Psychiatry

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Section: Discussionmentioning

confidence: 99%

Section: Study Population Sampling and Designmentioning

confidence: 99%

Demographic, clinical and psychosocial factors identify a high-risk group for depression screening among predominantly Hispanic patients with Type 2 diabetes in safety net care

Ell

Katon

Lee

et al. 2015

General Hospital Psychiatry

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“…Because we used a convenience sample, the results may not be generalizable to the broader population of urban, low-income adults with diabetes. However, based on a previous large-scale research study of patients in a diabetes management program at Los Angeles County Department of Health Services (25), we determined that our 125 study participants had similar characteristics with the target population of urban, low-income, predominantly Latino adults with diabetes.…”

Section: Discussionmentioning

confidence: 99%

Designing a Text Messaging Intervention to Improve Physical Activity Behavior Among Low-Income Latino Patients With Diabetes: A Discrete-Choice Experiment, Los Angeles, 2014–2015

Ramirez

Beale

2016

Prev. Chronic Dis.

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IntroductionAutomated text messaging can deliver self-management education to activate self-care behaviors among people with diabetes. We demonstrated how a discrete-choice experiment was used to determine the features of a text-messaging intervention that are important to urban, low-income Latino patients with diabetes and that could support improvement in their physical activity behavior.MethodsIn a discrete-choice experiment from December 2014 through August 2015 we conducted a survey to elicit information on patient preferences for 5 features of a text-messaging intervention. We described 2 hypothetical interventions and in 7 pairwise comparisons asked respondents to indicate which they preferred. Respondents (n = 125) were recruited in person from a diabetes management program of a safety-net ambulatory care clinic in Los Angeles; clinicians referred patients to the research assistant after routine clinic visits. Data were analyzed by using conditional logistic regression.ResultsWe found 2 intervention features that were considered by the survey respondents to be important: 1) the frequency of text messaging and 2) physical activity behavior-change education (the former being more important than the latter). Physical activity goal setting, feedback on physical activity performance, and social support were not significantly important.ConclusionA discrete-choice experiment is a feasible way to elicit information on patient preferences for a text-messaging intervention designed to support behavior change. However, discrepancies may exist between patients’ stated preferences and their actual behavior. Future research should validate and expand our findings.

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“…The Diabetes-Depression Care-management Adoption Trial (DCAT) is a comparative effectiveness trial conducted through a collaboration between faculty in the University of Southern California Viterbi School of Engineering (XXXXX, project PI), School of Social Work, and Keck School of Medicine in partnership with the Los Angeles County Department of Health Services (Wu & Ell et al, 2014). The DCAT study compared three approaches for adopting the evidence-based practices of depression screening, symptom monitoring, and antidepressant medication optimization among low-income patients with diabetes.…”

Section: Examples Of Implementation Engineeringmentioning

confidence: 99%

Integrating Science and Engineering to Implement Evidence-Based Practices in Health Care Settings

Duan

Wisdom

et al. 2014

Adm Policy Ment Health

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Integrating two distinct and complementary paradigms, science and engineering, may produce more effective outcomes for the implementation of evidence-based practices in health care settings. Science formalizes and tests innovations, whereas engineering customizes and optimizes how the innovation is applied tailoring to accommodate local conditions. Together they may accelerate the creation of an evidence-based healthcare system that works effectively in specific health care settings. We give examples of applying engineering methods for better quality, more efficient, and safer implementation of clinical practices, medical devices, and health services systems. A specific example was applying systems engineering design that orchestrated people, process, data, decision-making, and communication through a technology application to implement evidence-based depression care among low-income patients with diabetes. We recommend that leading journals recognize the fundamental role of engineering in implementation research, to improve understanding of design elements that create a better fit between program elements and local context.

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Technology-facilitated depression care management among predominantly Latino diabetes patients within a public safety net care system: Comparative effectiveness trial design

Cited by 51 publications

References 66 publications

Demographic, clinical and psychosocial factors identify a high-risk group for depression screening among predominantly Hispanic patients with Type 2 diabetes in safety net care

Demographic, clinical and psychosocial factors identify a high-risk group for depression screening among predominantly Hispanic patients with Type 2 diabetes in safety net care

Designing a Text Messaging Intervention to Improve Physical Activity Behavior Among Low-Income Latino Patients With Diabetes: A Discrete-Choice Experiment, Los Angeles, 2014–2015

Integrating Science and Engineering to Implement Evidence-Based Practices in Health Care Settings

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