Cost-Effectiveness of a Technology-Facilitated Depression Care Management Adoption Model in Safety-Net Primary Care Patients with Type 2 Diabetes.

BACKGROUND: The Diabetes-Depression Care-Management Adoption Trial is a translational study of safety-net primary care predominantly Hispanic/Latino patients with type 2 diabetes in collaboration with the Los Angeles County Department of Health Services. OBJECTIVES: To evaluate the cost-effectiveness of an information and communication technology (ICT)-facilitated depression care management program. METHODS: Cost-effectiveness of the ICT-facilitated care (TC) delivery model was evaluated relative to a usual care (UC) and a supported care (SC) model. TC added automated low-intensity periodic depression assessment calls to patients. Patient-reported outcomes included the 12-Item Short Form Health Survey converted into quality-adjusted life-years (QALYs) and the 9-Item Patient Health Questionnaire-calculated depression-free days (DFDs). Costs and outcomes data were collected over a 24-month period (-6 to 0 months baseline, 0 to 18 months study intervention). RESULTS: A sample of 1406 patients (484 in UC, 480 in SC, and 442 in TC) was enrolled in the nonrandomized trial. TC had a significant improvement in DFDs (17.3; P = 0.011) and significantly greater 12-Item Short Form Health Survey utility improvement (2.1%; P = 0.031) compared with UC. Medical costs were statistically significantly lower for TC (-$2328; P = 0.001) relative to UC but not significantly lower than for SC. TC had more than a 50% probability of being cost-effective relative to SC at willingness-to-pay thresholds of more than $50,000/QALY. CONCLUSIONS: An ICT-facilitated depression care (TC) delivery model improved QALYs, DFDs, and medical costs. It was cost-effective compared with SC and dominant compared with UC.

Comparative Effectiveness of a Technology-Facilitated Depression Care Management Model in Safety-Net Primary Care Patients With Type 2 Diabetes: 6-Month Outcomes of a Large Clinical Trial.

BACKGROUND: Comorbid depression is a significant challenge for safety-net primary care systems. Team-based collaborative depression care is effective, but complex system factors in safety-net organizations impede adoption and result in persistent disparities in outcomes. Diabetes-Depression Care-management Adoption Trial (DCAT) evaluated whether depression care could be significantly improved by harnessing information and communication technologies to automate routine screening and monitoring of patient symptoms and treatment adherence and allow timely communication with providers. OBJECTIVE: The aim of this study was to compare 6-month outcomes of a technology-facilitated care model with a usual care model and a supported care model that involved team-based collaborative depression care for safety-net primary care adult patients with type 2 diabetes. METHODS: DCAT is a translational study in collaboration with Los Angeles County Department of Health Services, the second largest safety-net care system in the United States. A comparative effectiveness study with quasi-experimental design was conducted in three groups of adult patients with type 2 diabetes to compare three delivery models: usual care, supported care, and technology-facilitated care. Six-month outcomes included depression and diabetes care measures and patient-reported outcomes. Comparative treatment effects were estimated by linear or logistic regression models that used generalized propensity scores to adjust for sampling bias inherent in the nonrandomized design. RESULTS: DCAT enrolled 1406 patients (484 in usual care, 480 in supported care, and 442 in technology-facilitated care), most of whom were Hispanic or Latino and female. Compared with usual care, both the supported care and technology-facilitated care groups were associated with significant reduction in depressive symptoms measured by scores on the 9-item Patient Health Questionnaire (least squares estimate, LSE: usual care=6.35, supported care=5.05, technology-facilitated care=5.16; P value: supported care vs usual care=.02, technology-facilitated care vs usual care=.02); decreased prevalence of major depression (odds ratio, OR: supported care vs usual care=0.45, technology-facilitated care vs usual care=0.33; P value: supported care vs usual care=.02, technology-facilitated care vs usual care=.007); and reduced functional disability as measured by Sheehan Disability Scale scores (LSE: usual care=3.21, supported care=2.61, technology-facilitated care=2.59; P value: supported care vs usual care=.04, technology-facilitated care vs usual care=.03). Technology-facilitated care was significantly associated with depression remission (technology-facilitated care vs usual care: OR=2.98, P=.04); increased satisfaction with care for emotional problems among depressed patients (LSE: usual care=3.20, technology-facilitated care=3.70; P=.05); reduced total cholesterol level (LSE: usual care=176.40, technology-facilitated care=160.46; P=.01); improved satisfaction with diabetes care (LSE: usual care=4.01, technology-facilitated care=4.20; P=.05); and increased odds of taking an glycated hemoglobin test (technology-facilitated care vs usual care: OR=3.40, P<.001). CONCLUSIONS: Both the technology-facilitated care and supported care delivery models showed potential to improve 6-month depression and functional disability outcomes. The technology-facilitated care model has a greater likelihood to improve depression remission, patient satisfaction, and diabetes care quality.

Collaborative health literate depression care among predominantly Hispanic patients with coronary heart disease in safety net care.

OBJECTIVE: To determine whether evidence-based socioculturally health literate-adapted collaborative depression care improves depression care, depressive symptoms, and quality of life among predominantly Hispanic patients with coronary heart disease. METHODS: The 12-month trial included 97 patients with coronary heart disease (79% of eligible patients) who met the depression criteria assessed by the Patient Health Questionnaire-9. Patients were recruited from 3 safety net clinics and offered depression team care by a bilingual clinical social worker and community patient navigator, a consulting psychiatrist, and a primary care physician. The team provided problem-solving therapy (PST) or pharmacotherapy or both, telephone symptom monitoring and behavioral activation, and patient resource navigation support. Recruited patients were given patient and family member health literacy-adapted educational and community resource materials in Spanish or English. RESULTS: Overall, depression treatment was 74% (PST, 55%; PST plus antidepressant medications, 18%; and antidepressant medications alone, 2%). Nearly half of the patients showed a 50% reduction of the Symptom Checklist-20 (49% at 6 mo and 48% at 12 mo) and of Patient Health Questionnaire-9 score with 47% of patients at 6 months and 43% at 12 months. The 50% improvement in Patient Health Questionnaire and Symptom Checklist-20 score reduction did not vary significantly between patients who received PST or antidepressant only or those who received PST plus antidepressant. The quality of life Short-Form Health Survey SF-12, the Minnesota Living with Heart Failure questionnaire, and the Sheehan Disability Scale outcomes also improved significantly. CONCLUSIONS: Socioculturally literacy-adapted collaborative depression care was accepted by patients with coronary heart disease and improved depression care and symptoms, quality of life, and functional outcomes among predominantly Hispanic patients with heart disease.

Cost-effectiveness analysis of collaborative care management of major depression among low-income, predominantly Hispanics with diabetes.

OBJECTIVE: To evaluate the cost-effectiveness of a socioculturally adapted collaborative depression care program among low-income Hispanics with diabetes. RESEARCH DESIGN AND METHODS: A randomized controlled trial of 387 patients with diabetes (96.5% Hispanic) with clinically significant depression followed over 18 months evaluated the cost-effectiveness of the Multifaceted Diabetes and Depression Program aimed at increasing patient exposure to evidence-based depression psychotherapy and/or pharmacotherapy in two public safety net clinics. Patient medical care costs and utilization were captured from Los Angeles County Department of Health Services claims records. Patient-reported outcomes included Short-Form Health Survey-12 and Patient Health Questionnaire-9-calculated depression-free days. RESULTS: Intervention patients had significantly greater Short-Form Health Survey-12 utility improvement from baseline compared with controls over the 18-month evaluation period (4.8%; P < 0.001) and a corresponding significant improvement in depression-free days (43.0; P < 0.001). Medical cost differences were not statistically significant in ordinary least squares and log-transformed cost regressions. The average costs of the Multifaceted Diabetes and Depression Program study intervention were $515 per patient. The program's cost-effectiveness averaged $4053 per quality-adjusted life-year per MDDP recipient and was more than 90% likely to fall below $12,000 per quality-adjusted life-year. CONCLUSIONS: Socioculturally adapted collaborative depression care improved utility and quality of life in predominantly low-income Hispanic patients with diabetes and was highly cost-effective.

Depressive symptom deterioration among predominantly Hispanic diabetes patients in safety net care.

OBJECTIVE: This study examines clinical predictors of symptom deterioration (relapse/recurrence) at the completion of a clinical intervention trial of depressed, low-income, predominantly Hispanic diabetes patients who were randomized to socio-culturally adapted collaborative depression treatment or usual care and who no longer met clinically significant depression criteria at 12 months post-trial baseline. METHODS: A sub-cohort of 193 diabetes patients with major depression symptoms at baseline, who were randomized to a 12-month collaborative care intervention (INT) (problem-solving therapy and/or pharmacotherapy, telephone symptom monitoring/relapse prevention, behavioral activation and patient navigation support) or enhanced usual care (EUC), and who did not meet major depression criteria at 12 months were subsequently observed over 18 to 24 months. RESULTS: Post-trial depression symptom deterioration was similar between INT (35.2%) and EUC (35.3%) groups. Among the combined groups, significant predictors of symptom deterioration were baseline history of previous depression and/or dysthymia (odds ratio [OR] = 2.66), 12-month PHQ-9 score (OR = 1.22), antidepressant treatment receipt during the initial 12-months (OR = 2.38), 12-month diabetes symptoms (OR = 2.27), and new ICD-9 medical diagnoses in the initial 12 months (OR = 1.11) (R2 = 27%; max-rescaled R2 = 37%; likelihood ratio test, χ2 = 59.79, df = 5, P < 0.0001). CONCLUSIONS: Among predominantly Hispanic diabetes patients in community safety net primary care clinics whose depression had improved over 1 year, more than one-third experienced symptom deterioration over the following year. A primary care management depression care protocol that includes ongoing depression symptom monitoring, antidepressant adherence, and diabetes and co-morbid illness monitoring plus depression medication adjustment and behavioral activation may reduce and/or effectively treat depression symptom deterioration.

Solution-focused therapy for families coping with suicide.

Solution-focused therapy is proposed as a model for families coping with suicide. The nature and incidence of suicide is described along with a consideration of the effects that suicide has on families and prevailing treatment approaches. Three case examples illustrate the application. Implications are discussed pertaining to the theory, practice, and research of solution-focused therapy for families coping with suicide.

Efficacy of a Chronic Care-Based Intervention on Secondary Stroke Prevention Among Vulnerable Stroke Survivors: A Randomized Controlled Trial.

BACKGROUND: Disparities of care among stroke survivors are well documented. Effective interventions to improve recurrent stroke preventative care in vulnerable populations are lacking. METHODS AND RESULTS: In a randomized controlled trial, we tested the efficacy of components of a chronic care model-based intervention versus usual care among 404 subjects having an ischemic stroke or transient ischemic attack within 90 days of enrollment and receiving care within the Los Angeles public healthcare system. Subjects had baseline systolic blood pressure (SBP) ≥120 mm Hg. The intervention included a nurse practitioner/physician assistant care manager, group clinics, self-management support, report cards, decision support, and ongoing care coordination. Outcomes were collected at 3, 8, and 12 months, analyzed as intention-to-treat, and used repeated-measures mixed-effects models. Change in SBP was the primary outcome. Low-density lipoprotein reduction, antithrombotic medication use, smoking cessation, and physical activity were secondary outcomes. Average age was 57 years; 18% were of black race; 69% were of Hispanic ethnicity. Mean baseline SBP was 150 mm Hg in both arms. SBP decreased to 17 mm Hg in the intervention arm and 14 mm Hg in the usual care arm; the between-arm difference was not significant (-3.6 mm Hg; 95% confidence interval, -9.2 to 2.2). Among secondary outcomes, the only significant difference was that persons in the intervention arm were more likely to lower their low-density lipoprotein <100 md/dL (2.0 odds ratio; 95% confidence interval, 1.1-3.5). CONCLUSIONS: This intervention did not improve SBP control beyond that attained in usual care among vulnerable stroke survivors. A community-centered component could strengthen the intervention impact. CLINICAL TRIAL REGISTRATION: URL: https://clinicaltrials.gov. Unique identifier: NCT00861081.

Safety Evaluation of an Automated Remote Monitoring System for Heart Failure in an Urban, Indigent Population.

Heart Failure (HF) is the most expensive preventable condition, regardless of patient ethnicity, race, socioeconomic status, sex, and insurance status. Remote telemonitoring with timely outpatient care can significantly reduce avoidable HF hospitalizations. Human outreach, the traditional method used for remote monitoring, is effective but costly. Automated systems can potentially provide positive clinical, fiscal, and satisfaction outcomes in chronic disease monitoring. The authors implemented a telephonic HF automated remote monitoring system that utilizes deterministic decision tree logic to identify patients who are at risk of clinical decompensation. This safety study evaluated the degree of clinical concordance between the automated system and traditional human monitoring. This study focused on a broad underserved population and demonstrated a safe, reliable, and inexpensive method of monitoring patients with HF.

Promotora assisted depression and self-care management among predominantly Latinos with concurrent chronic illness: Safety net care system clinical trial results.

The study evaluated depression and self-care management among patients with diabetes and/or heart disease in a 12-month randomized trial conducted in Los Angeles County Department of Health Services (LAC-DHS) community clinics. We compared LAC-DHS clinic usual care (UC) versus A-Helping-Hand (AHH) intervention in which bilingual promotoras, hired and supervised by the research project, provided 6 weekly psychoeducational sessions followed by boosters. Of 1957 screened, 348 depressed patients (PHQ-9 score≥10) were enrolled, randomized to AHH (n=178) or UC (n=170) after baseline interview assessing mental health, treatment receipt, co-morbid illness, self-care management, and environmental stressors. Comprehensive assessments were repeated at 6 and 12months by an independent interviewer blind to the study group. Patients (85% diabetes, 4% heart disease, 11% both) were predominantly female (85%), Latino (99%), born outside of the US (91%). Study attrition at 12months was 30% (AHH 31%, UC 28%, P=0.51). No baseline characteristics were associated with attrition. Half of AHH patients received 4 or more sessions. Intend-to-treat analysis found study groups did not vary significantly at 6 and 12months. Before-after paired t-tests showed significant improvements in most measures in each group. During the trial, LAC-DHS activated healthcare improvements including depression screening, referral to clinic staff including community health workers (with the same role as the promotoras) to improve patient care management. Both patient groups performed equally well which may be a function of the enhanced healthcare model. Future research should replicate the promotora-integrated care model with other groups and care settings with similar comorbid conditions.

Promotora assisted depression care among predominately Hispanic patients with concurrent chronic illness: Public care system clinical trial design.

Depression frequently negatively affects patient overall self-care and social stress management within United States safety net care systems. Rates of major depression are significantly high among low-income predominantly Hispanic/Latino with chronic illness, such as diabetes and heart disease. The study design of the A Helping Hand to Activate Patient-Centered Depression Care among Low-income Patients (AHH) randomized clinical trial aims to enhance patient depression care receipt and overall bio-psychosocial self-care management. The AHH trial is conducted in collaboration with three Los Angeles County Department of Health Services (DHS) safety net clinics that provide Patient-Centered Medical Home (PCMH) care. The study compares AHH intervention (AHH) in which community-based bilingual promotoras provide in-person or telephone patient engagement and intervention aimed to reduce the burden and strain on patients, families, and care providers by assessing, enhancing, and facilitating patient depression and co-morbid illness self-care management skill, and activating patient communication with clinic medical providers versus DHS PCMH team usual care (PCMHUC). AHH independent bilingual recruiters screened 1957 and enrolled 348 predominantly Hispanic/Latino patients, of whom 296 (85%) had diabetes, 14 (4%) with heart disease, and 38 (11%) with both diseases. Recruiters identified depressed patients by baseline Patient Health Questionnaire-9 scores of 10 or more, completed baseline assessments, and randomized patients to either AHH or PCMHUC study group. The comprehensive assessments will be repeated at 6 and 12months by an independent bilingual follow-up interviewer. Baseline and outcome data include mental health assessment and treatment receipt, co-morbid illness self-care, social relationships, and environmental stressor assessments.

Automated Remote Monitoring of Depression: Acceptance Among Low-Income Patients in Diabetes Disease Management.

BACKGROUND: Remote patient monitoring is increasingly integrated into health care delivery to expand access and increase effectiveness. Automation can add efficiency to remote monitoring, but patient acceptance of automated tools is critical for success. From 2010 to 2013, the Diabetes-Depression Care-management Adoption Trial (DCAT)-a quasi-experimental comparative effectiveness research trial aimed at accelerating the adoption of collaborative depression care in a safety-net health care system-tested a fully automated telephonic assessment (ATA) depression monitoring system serving low-income patients with diabetes. OBJECTIVE: The aim of this study was to determine patient acceptance of ATA calls over time, and to identify factors predicting long-term patient acceptance of ATA calls. METHODS: We conducted two analyses using data from the DCAT technology-facilitated care arm, in which for 12 months the ATA system periodically assessed depression symptoms, monitored treatment adherence, prompted self-care behaviors, and inquired about patients' needs for provider contact. Patients received assessments at 6, 12, and 18 months using Likert-scale measures of willingness to use ATA calls, preferred mode of reach, perceived ease of use, usefulness, nonintrusiveness, privacy/security, and long-term usefulness. For the first analysis (patient acceptance over time), we computed descriptive statistics of these measures. In the second analysis (predictive factors), we collapsed patients into two groups: those reporting "high" versus "low" willingness to use ATA calls. To compare them, we used independent t tests for continuous variables and Pearson chi-square tests for categorical variables. Next, we jointly entered independent factors found to be significantly associated with 18-month willingness to use ATA calls at the univariate level into a logistic regression model with backward selection to identify predictive factors. We performed a final logistic regression model with the identified significant predictive factors and reported the odds ratio estimates and 95% confidence intervals. RESULTS: At 6 and 12 months, respectively, 89.6% (69/77) and 63.7% (49/77) of patients "agreed" or "strongly agreed" that they would be willing to use ATA calls in the future. At 18 months, 51.0% (64/125) of patients perceived ATA calls as useful and 59.7% (46/77) were willing to use the technology. Moreover, in the first 6 months, most patients reported that ATA calls felt private/secure (75.9%, 82/108) and were easy to use (86.2%, 94/109), useful (65.1%, 71/109), and nonintrusive (87.2%, 95/109). Perceived usefulness, however, decreased to 54.1% (59/109) in the second 6 months of the trial. Factors predicting willingness to use ATA calls at the 18-month follow-up were perceived privacy/security and long-term perceived usefulness of ATA calls. No patient characteristics were significant predictors of long-term acceptance. CONCLUSIONS: In the short term, patients are generally accepting of ATA calls for depression monitoring, with ATA call design and the care management intervention being primary factors influencing patient acceptance. Acceptance over the long term requires that the system be perceived as private/secure, and that it be constantly useful for patients' needs of awareness of feelings, self-care reminders, and connectivity with health care providers. TRIAL REGISTRATION: ClinicalTrials.gov NCT01781013; https://clinicaltrials.gov/ct2/show/NCT01781013 (Archived by WebCite at http://www.webcitation.org/6e7NGku56).

Innovative Strategies Designed to Improve Adult Pneumococcal Immunizations in Safety Net Patient-Centered Medical Homes.

Streptococcus pneumoniae is a principal cause of serious illness, including bacteremia, meningitis, and pneumonia, worldwide. Pneumococcal immunization is proven to reduce morbidity and mortality in high-risk adult and elderly populations. Current pneumococcal vaccination practices are suboptimal in part because of recommendation complexity, the high cost of provider-driven immunization interventions, and outreach methods that are not patient-centric. These barriers are amplified within the safety net. This paper identifies efforts by the Los Angeles County Department of Health Services to increase pneumococcal immunization rates for adult indigent patient populations. A 4-part approach will be used to increase vaccination rates: (1) protocol driven care, (2) staff education, (3) electronic identification of eligible patients, and (4) automated patient outreach and scheduling. The proposed analytics plan and potential for scalability are described. (Population Health Management 2016;19:240-247).

Wide Variability in Emergency Physician Admission Rates: A Target to Reduce Costs Without Compromising Quality.

INTRODUCTION: Attending physician judgment is the traditional standard of care for emergency department (ED) admission decisions. The extent to which variability in admission decisions affect cost and quality is not well understood. We sought to determine the impact of variability in admission decisions on cost and quality. METHODS: We performed a retrospective observational study of patients presenting to a university-affiliated, urban ED from October 1, 2007, through September 30, 2008. The main outcome measures were admission rate, fiscal indicators (Medicaid-denied payment days), and quality indicators (15- and 30-day ED returns; delayed hospital admissions). We asked each Attending to estimate their inpatient admission rate and correlated their personal assessment with actual admission rates. RESULTS: Admission rates, even after adjusting for known confounders, were highly variable (15.2%-32.0%) and correlated with Medicaid denied-payment day rates (p=0.038). There was no correlation with quality outcome measures (30-day ED return or delayed hospital admission). There was no significant correlation between actual and self-described admission rate; the range of mis-estimation was 0% to 117%. CONCLUSION: Emergency medicine attending admission rates at this institution are highly variable, unexplained by known confounding variables, and unrelated to quality of care, as measured by 30-day ED return or delayed hospital admission. Admission optimization represents an important untapped potential for cost reduction through avoidable hospitalizations, with no apparent adverse effects on quality.

The Breathmobile Program: structure, implementation, and evolution of a large-scale, urban, pediatric asthma disease management program.

Despite more than a decade of education and research-oriented intervention programs, inner city children with asthma continue to engage in episodic "rescue" patterns of healthcare and experience a disproportionate level of morbidity. The aim of this study was to establish and evaluate a sustainable community-wide pediatric asthma disease management program designed to shift inner city children in Los Angeles from acute episodic care to regular preventive care in accordance with national standards. In 1995 the Southern California Chapter of the Asthma and Allergy Foundation of America (AAFA), the Los Angeles County Department of Health Services (LAC DHS), and the Los Angeles Unified School District (LAUSD) established an agreement to initiate and sustain the Breathmobile Program. This program includes automated case identification, mobile school-based clinics, and highly structured clinical encounters supported by an advanced information technology solution. Interdisciplinary teams of asthma care specialists provide regular and ongoing care to children at school and county clinic sites over a wide geographic area of urban Los Angeles. Each team operates in a specially equipped mobile clinic (Breathmobile), efficiently moving a structured healthcare process to school and county clinic sites with large numbers of children. Demographic, clinical, and participation data is tracked carefully in an electronic medical record system. Program operations, clinical oversight, and patient tracking are centralized at a care coordination center. Clinical operations and methods have been replicated in fixed specialty clinic sites at the Los Angeles County + University of Southern California Medical Center. Clinical and process measures are regularly evaluated to assure quality, plan iterative improvement, and support evidence-based care. Four Breathmobiles deliver ongoing care at more than 90 school sites. The program has engaged over five thousand patients and their families in a continuity care model that has demonstrated efficacy over usual episodic care. More than 90% of patients in all asthma severity categories achieved clinical control of asthma with significant reductions in inpatient (IP) and emergency department (ED) use. On February 14, 2002, the program became the first program in the United States to receive the award of disease-specific care certification by the Joint Commission on Accreditation of Healthcare Organizations (JCAHO). Proper design and resource allocation can sustain a school-based community-wide pediatric asthma disease management program and shift a population of inner city children from acute episodic care to routine preventive care in accordance with national standards. An evidence-based approach to evaluating and maintaining quality, coupled with stratified care delivery, can assure the efficient use of safety net healthcare resources.

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.

OBJECTIVE: Identify biopsychosocial factors associated with depression for patients with Type 2 diabetes. METHOD: A quasi-experimental clinical trial of 1293 patients was predominantly Hispanic (91%) female (62%), mean age 53 and average diabetes duration 10 years; 373 (29%) patients were depressed and assessed by Patient Health Questionnaire-9. Demographic, baseline clinical and psychosocial variables were compared between depressed and nondepressed patients. RESULTS: Bivariate analyses found depression significantly associated (p<0.05) with female gender, diabetes emotional burden and regimen distress, BMI ≥ 30, lack of an A1C test, diabetes duration, poor self-care, number of diabetes symptoms and complications, functional and physical characteristics (pain, self-rated health condition, Short-Form Health Survey SF-physical, disability score and comorbid illnesses), as well as higher number of ICD-9 diagnoses and emergency room use. A multivariable regression model with stepwise selection identified six key risk factors: greater disability, diabetes symptoms and regimen distress, female gender, less diabetes self-care and lack of A1C. In addition, after controlling for identified six factors, the number of psychosocial stressors significantly associated with increased risk of depression (adjusted odds ratio=1.37, 95% confidence intervals: 1.18-1.58, p<.0001). CONCLUSION: Knowing biopsychosocial factors could help primary care physicians and endocrinologists identify a high-risk group of patients needing depression screening.

Patient-centered technological assessment and monitoring of depression for low-income patients.

Depression is a significant challenge for ambulatory care because it worsens health status and outcomes, increases health care utilizations and costs, and elevates suicide risk. An automatic telephonic assessment (ATA) system that links with tasks and alerts to providers may improve quality of depression care and increase provider productivity. We used ATA system in a trial to assess and monitor depressive symptoms of 444 safety-net primary care patients with diabetes. We assessed system properties, evaluated preliminary clinical outcomes, and estimated cost savings. The ATA system is feasible, reliable, valid, safe, and likely cost-effective for depression screening and monitoring for low-income primary care population.

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

Health disparities in minority populations are well recognized. Hispanics and Latinos constitute the largest ethnic minority group in the United States; a significant proportion receives their care via a safety net. The prevalence of diabetes mellitus and comorbid depression is high among this group, but the uptake of evidence-based collaborative depression care management has been suboptimal. The study design and baseline characteristics of the enrolled sample in the Diabetes-Depression Care-management Adoption Trial (DCAT) establishes a quasi-experimental comparative effectiveness research clinical trial aimed at accelerating the adoption of collaborative depression care in safety net clinics. The study was conducted in collaboration with the Los Angeles County Department of Health Services at eight county-operated clinics. DCAT has enrolled 1406 low-income, predominantly Hispanic/Latino patients with diabetes to test a translational model of depression care management. This three-group study compares usual care with a collaborative care team support model and a technology-facilitated depression care model that provides automated telephonic depression screening and monitoring tailored to patient conditions and preferences. Call results are integrated into a diabetes disease management registry that delivers provider notifications, generates tasks, and issues critical alerts. All subjects receive comprehensive assessments at baseline, 6, 12, and 18 months by independent English-Spanish bilingual interviewers. Study outcomes include depression outcomes, treatment adherence, satisfaction, acceptance of assessment and monitoring technology, social and economic stress reduction, diabetes self-care management, health care utilization, and care management model cost and cost-effectiveness comparisons. DCAT's goal is to optimize depression screening, treatment, follow-up, outcomes, and cost savings to reduce health disparities.

Diabetes management for low-income patients in Los Angeles: two strategies improved disease control in the short term.

Health care providers serving vulnerable patients in Los Angeles have developed programs intended to increase diabetes control through more-intensive patient education and engagement. We examined two programs, the first using a short-term intensive intervention by a care team including nurses and a specialist, and the second integrating case management and clinical pharmacy programs into primary care in a community clinic. We show evidence that both models improved short-term disease control, as measured by reductions in HbA1c and low-density lipoprotein (sometimes referred to as "bad" cholesterol). However, integrating case management and clinical pharmacy programs into a primary care setting was less labor-intensive and potentially less expensive than the care team intervention. The challenge is to understand the essential aspects of these interventions; refine their design so that they are more cost-effective and fiscally feasible; and identify long-term health and cost effects.

One-year postcollaborative depression care trial outcomes among predominantly Hispanic diabetes safety net patients.

OBJECTIVE: The aim of this study was to determine sustained effectiveness in reducing depression symptoms and improving depression care 1 year following intervention completion. METHOD: Of 387 low-income, predominantly Hispanic diabetes patients with major depression symptoms randomized to 12-month socioculturally adapted collaborative care (psychotherapy and/or antidepressants, telephone symptom monitoring/relapse prevention) or enhanced usual care, 264 patients completed 2-year follow-up. Depression symptoms (Symptom Checklist-20 [SCL-20], Patient Health Questionnaire-9 [PHQ-9]), treatment receipt, diabetes symptoms and quality of life were assessed 24 months postenrollment using intent-to-treat analyses. RESULTS: At 24 months, more intervention patients received ongoing antidepressant treatment (38% vs. 25%, χ(2)=5.11, df=1, P=.02); sustained depression symptom improvement [SCL-20 <0.5 (adjusted odds ratio=2.06, 95% confidence interval=1.09-3.90, P=.03), SCL-20 score (adjusted mean difference -0.22, P=.001) and PHQ-9 ≥50% reduction (adjusted odds ratio=1.87, 95% confidence interval =1.05-3.32, P=.03)]. Over 2 years, improved effects were found in significant study group by time interaction for Short Form-12 mental health, Sheehan Disability Scale (SDS) functional impairment, diabetes symptoms, anxiety and socioeconomic stressors (P=.02 for SDS; P<.0001 for all others); however, group differences narrowed over time and were no longer significant at 24 months. CONCLUSIONS: Socioculturally tailored collaborative care that included maintenance antidepressant medication, ongoing symptom monitoring and behavioral activation relapse prevention was associated with depression improvement over 24 months for predominantly Hispanic patients in primary safety net care.

Randomized, controlled trial of an intervention to enable stroke survivors throughout the Los Angeles County safety net to "stay with the guidelines".

BACKGROUND: Stroke is the leading cause of adult disability. Inpatient programs optimize secondary stroke prevention care at the time of hospital discharge, but such care may not be continued after hospital discharge. METHODS: To improve the delivery of secondary stroke preventive services after hospital discharge, we have designed a chronic care model-based program called SUSTAIN (Systemic Use of STroke Averting INterventions). This care intervention includes group clinics, self-management support, report cards, decision support through care guides and protocols, and coordination of ongoing care. The first specific aim is to test, in a randomized, controlled trial, whether SUSTAIN improves blood pressure control among an analytic sample of 268 patients with a recent stroke or transient ischemic attack discharged from 4 Los Angeles County public hospitals. Secondary outcomes consist of control of other stroke risk factors, lifestyle habits, medication adherence, patient perceptions of care quality, functional status, and quality of life. A second specific aim is to conduct a cost analysis of SUSTAIN from the perspective of the Los Angeles County Department of Health Services by using direct costs of the intervention, cost equivalents of associated utilization of county system resources, and cost equivalents of the observed and predicted averted vascular events. CONCLUSIONS: If SUSTAIN is effective, we will have the expertise and findings to advocate for its continued support at Los Angeles County hospitals and to disseminate the SUSTAIN program to other settings serving indigent, minority populations. Clinical Trial Registration- URL: http://www.clinicaltrials.gov. Unique identifier: NCT00861081.