Jessica Breland, MS, PhD is a licensed clinical psychologist and a postdoctoral fellow in the Department of Psychiatry and Behavioral Science at the Stanford University School of Medicine, and at the Center for Innovation to Implementation in the VA Palo Alto Health Care System. Dr. Breland received her PhD in psychology from Rutgers, The State University of New Jersey and completed her clinical internship at the Baylor College of Medicine in Houston, TX. Her research focuses on studying how to: 1) enhance self-management interventions for patients with chronic conditions, like diabetes and obesity; 2) implement evidenced-based treatments, especially through novel settings (e.g., primary care) or novel methods (e.g., apps); and 3) reduce racial and ethnic disparities in health.
Honors & Awards
Excellence Fellowship, Rutgers, The State University of New Jersey, Department of Psychology (2008; 2010)
Bachelor of Arts, University of Pennsylvania (2005)
Predoctoral Clinical Internship, Baylor College of Medicine (2013)
Doctor of Philosophy, Rutgers University (2013)
Craig Rosen, Postdoctoral Faculty Sponsor
- Partnered Research in Healthcare Delivery Redesign for High-Need, High-Cost Patients: Development and Feasibility of an Intensive Management Patient-Aligned Care Team (ImPACT) JOURNAL OF GENERAL INTERNAL MEDICINE 2014; 29: S861-S869
Partnered research in healthcare delivery redesign for high-need, high-cost patients: development and feasibility of an Intensive Management Patient-Aligned Care Team (ImPACT).
Journal of general internal medicine
2014; 29: 861-869
We employed a partnered research healthcare delivery redesign process to improve care for high-need, high-cost (HNHC) patients within the Veterans Affairs (VA) healthcare system.Health services researchers partnered with VA national and Palo Alto facility leadership and clinicians to: 1) analyze characteristics and utilization patterns of HNHC patients, 2) synthesize evidence about intensive management programs for HNHC patients, 3) conduct needs-assessment interviews with HNHC patients (n = 17) across medical, access, social, and mental health domains, 4) survey providers (n = 8) about care challenges for HNHC patients, and 5) design, implement, and evaluate a pilot Intensive Management Patient-Aligned Care Team (ImPACT) for a random sample of 150 patients.HNHC patients accounted for over half (52 %) of VA facility patient costs. Most (94 %) had three or more chronic conditions, and 60 % had a mental health diagnosis. Formative data analyses and qualitative assessments revealed a need for intensive case management, care coordination, transitions navigation, and social support and services. The ImPACT multidisciplinary team developed care processes to meet these needs, including direct access to team members (including after-hours), chronic disease management protocols, case management, and rapid interventions in response to health changes or acute service use. Two-thirds of invited patients (n = 101) enrolled in ImPACT, 87 % of whom remained actively engaged at 9 months. ImPACT is now serving as a model for a national VA intensive management demonstration project.Partnered research that incorporated population data analysis, evidence synthesis, and stakeholder needs assessments led to the successful redesign and implementation of services for HNHC patients. The rigorous design process and evaluation facilitated dissemination of the intervention within the VA healthcare system.Employing partnered research to redesign care for high-need, high-cost patients may expedite development and dissemination of high-value, cost-saving interventions.
View details for DOI 10.1007/s11606-014-3022-7
View details for PubMedID 25355084
Behavioral health coaching for rural veterans with diabetes and depression: a patient randomized effectiveness implementation trial
BMC HEALTH SERVICES RESEARCH
Depression and diabetes cause significant burden for patients and the healthcare system and, when co-occurring, result in poorer self-care behaviors and worse glycemic control than for either condition alone. However, the clinical management of these comorbid conditions is complicated by a host of patient, provider, and system-level barriers that are especially problematic for patients in rural locations. Patient-centered medical homes provide an opportunity to integrate mental and physical health care to address the multifaceted needs of complex comorbid conditions. Presently, there is a need to not only develop robust clinical interventions for complex medically ill patients but also to find feasible ways to embed these interventions into the frontlines of existing primary care practices.This randomized controlled trial uses a hybrid effectiveness-implementation design to evaluate the Healthy Outcomes through Patient Empowerment (HOPE) intervention, which seeks to simultaneously address diabetes and depression for rural veterans in Southeast Texas. A total of 242 Veterans with uncontrolled diabetes and comorbid symptoms of depression will be recruited and randomized to either the HOPE intervention or to a usual-care arm. Participants will be evaluated on a host of diabetes and depression-related measures at baseline and 6- and 12-month follow-up. The trial has two primary goals: 1) to examine the effectiveness of the intervention on both physical (diabetes) and emotional health (depression) outcomes and 2) to simultaneously pilot test a multifaceted implementation strategy designed to increase fidelity and utilization of the intervention by coaches interfacing within the primary care setting.This ongoing blended effectiveness-implementation design holds the potential to advance the science and practice of caring for complex medically ill patients within the constraints of a busy patient-centered medical home.Behavioral Activation Therapy for Rural Veterans with Diabetes and Depression: NCT01572389.
View details for DOI 10.1186/1472-6963-14-191
View details for Web of Science ID 000336764700001
View details for PubMedID 24774351
Correlates of Pain Intensity in Community-Dwelling Individuals with Mild-to-Moderate Dementia
American Journal of Alzheimer’s Disease and Other Dementias
View details for DOI 10.1177/1533317514545827
Challenges to healthy eating for people with diabetes in a low-income, minority neighborhood.
2013; 36 (10): 2895-2901
This study used qualitative interviews with black and Latino participants with diabetes to further understanding about types of foods eaten, food preparation, sources of foods and meals, communication with providers, and effects of race and ethnicity on eating in this population.Researchers recruited black and Latino adults from East Harlem, New York, to participate in four English and Spanish focus groups. Discussions were transcribed, coded, and analyzed to uncover prevalent themes, which were interpreted with the Common Sense Model of Self-Regulation.Thirty-seven adults with diabetes participated in four focus groups. The following four major themes emerged from the analyses: 1) The food environment limited participants' access to healthy foods; 2) understanding of diabetes and communication with clinicians about healthy eating was limited and abstract; 3) the short-term, negative consequences of healthy eating outweighed the benefits; and 4) stress, in large part from poverty and discrimination, was seen as a causal factor for both poor eating and diabetes.Participants' responses indicated that using healthy eating to control diabetes does not provide immediate, tangible results. Thus, these participants followed their own common sense to guide their diabetes management and improve their health. Clinicians may be better able to help patients eat healthfully if they consider these factors during medical visits.
View details for DOI 10.2337/dc12-1632
View details for PubMedID 23877980
Adherence to evidence-based guidelines among diabetes self-management apps.
Translational behavioral medicine
2013; 3 (3): 277-286
Smartphone apps can provide real-time, interactive self-management aid to individuals with diabetes. It is currently unclear whether existing diabetes self-management apps follow evidence-based guidelines. The purpose of this study was to evaluate the extent to which existing diabetes self-management apps address the seven self-management behaviors recommended by the American Association of Diabetes Educators (the AADE7™). The term "diabetes" identified relevant self-management apps via the Apple App Store search engine in March 2012. Ratings were based on app descriptions and downloads. Chi-square analyses assessed differences in apps based on developer type. Apps promoted a median of two AADE7™ skills. Overall reliability between description and download ratings was good (kappa = .66). Reliability of individual skills was variable (kappa = .25 to .91). Most diabetes apps do not conform to evidence-based recommendations, and future app reviews would benefit from testing app performance. Future apps may also benefit from theory-based designs.
View details for DOI 10.1007/s13142-013-0205-4
View details for PubMedID 24073179
Using the Common Sense Model of Self-regulation to review the effects of self-monitoring of blood glucose on glycemic control for non-insulin-treated adults with type 2 diabetes.
2013; 39 (4): 541-559
This systematic review examined the relationship between self-monitoring of blood glucose (SMBG) and glycemic control in patients with type 2 diabetes. The Common Sense Model of Self-Regulation (CSM) served as a theoretical framework for examining how, when (mediators), and for whom (moderators) SMBG improved glycemic control.Five databases were searched: Medline, PsychInfo, Cochrane Database of Systematic Reviews, Cochrane Central Register of Controlled Trials, and Cumulative Index to Nursing & Allied Health Literature.Included studies had cross-sectional, longitudinal, or randomized controlled trial designs; were published between 2007 and 2011; and included patients with type 2 diabetes at least some of whom were not taking insulin; 1318 studies were screened, 119 were reviewed in detail, and 26 were included.Data were collected on the relationship between SMBG and glycemic control, study design, mediators, moderators, participant characteristics, the CSM, and limitations.Twenty-six studies met criteria for inclusion: 11 cross-sectional, 4 longitudinal, and 11 randomized controlled trials. The results of the cross-sectional studies were inconclusive. Results from the longitudinal studies and randomized control trials suggested that SMBG may improve glycemic control. The few studies investigating mediators or moderators reported mixed results. Few studies effectively measured the CSM.Data suggested that SMBG may help improve glycemic control. Future trials must be designed to test hypotheses and improve our understanding of when, how, and for whom SMBG can enhance glycemic control. Rigorously controlled repetitions of current 2-arm trials will yield little new knowledge of theoretical or practical value.
View details for DOI 10.1177/0145721713490079
View details for PubMedID 23749773
Applying a common-sense approach to fighting obesity.
Journal of obesity
2012; 2012: 710427-?
The obesity epidemic is a threat to the health of millions and to the economic viability of healthcare systems, governments, businesses, and nations. A range of answers come to mind if and when we ask, "What can we, health professionals (physicians, nurses, nutritionists, behavioral psychologists), do about this epidemic?" In this paper, we describe the Common-Sense Model of Self-Regulation as a framework for organizing existent tools and creating new tools to improve control of the obesity epidemic. Further, we explain how the Common-Sense Model can augment existing behavior-change models, with particular attention to the strength of the Common-Sense Model in addressing assessment and weight maintenance beyond initial weight loss.
View details for DOI 10.1155/2012/710427
View details for PubMedID 22811889
Cognitive Science Speaks to the "Common-Sense" of Chronic Illness Management
ANNALS OF BEHAVIORAL MEDICINE
2011; 41 (2): 152-163
We describe the parallels between findings from cognitive science and neuroscience and Common-Sense Models in four areas: (1) Activation of illness representations by the automatic linkage of symptoms and functional changes with concepts (an integration of declarative and perceptual and procedural knowledge); (2) Action plans for the management of symptoms and disease; (3) Cognitive and behavioral heuristics (executive functions parallel to recent findings in cognitive science) involved in monitoring and modifying automatic control processes; (4) Perceiving and communicating to "other minds" during medical visits to address the declarative and non-declarative (perceptual and procedural) knowledge that comprise a patient's representations of illness and treatment (the transparency of other minds).
View details for DOI 10.1007/s12160-010-9246-9
View details for Web of Science ID 000290802000003
View details for PubMedID 21136224