Assessment of Outcome-Based Measures of Depression Care Quality in Veterans Health Administration Facilities.

To inform the potential use of patient-reported depression symptom outcomes as measures of care quality, this study collected and analyzed longitudinal Patient Health Questionnaire (PHQ9) scores among 1,638 patients who screened positive for major depression according to a PHQ9 ≥ 10 across 29 Department of Veterans Affairs facilities. The study found baseline PHQ9, prior mental health visits, physical functioning, and treatment expectancy were consistently associated with subsequent PHQ9 outcomes. No facilities outperformed any others on PHQ9 scores at the 6-month primary endpoint, and the corresponding intra-class coefficient was ≤ .01 for the entire sample (n = 1,214) and 0.03 for the subgroup of patients with new depression episodes (n = 629). Measures of antidepressant receipt, psychotherapy, or treatment intensification were not associated with 6-month PHQ9 scores. PHQ9 outcomes are therefore unlikely to be useful as quality indicators for VA healthcare facilities due to low inter-facility variation, and new care process measures are needed to inform care for patients with chronic depression prevalent in this sample.

Measurement and Validation of the Comprehensive Score for Financial Toxicity (COST) in a Population With Diabetes.

OBJECTIVE: The Comprehensive Score for Financial Toxicity-Functional Assessment of Chronic Illness Therapy (COST-FACIT) is a validated instrument measuring financial distress among people with cancer. The reliability and construct validity of the 11-item COST-FACIT were examined in adults with diabetes and high A1C. RESEARCH DESIGN AND METHODS: We examined the factor structure (exploratory factor analysis), internal consistency reliability (Cronbach α), floor/ceiling effects, known-groups validity, and predictive validity among a sample of 600 adults with diabetes and high A1C. RESULTS: COST-FACIT demonstrated a two-factor structure with high internal consistency: general financial situation (7-items, α = 0.86) and impact of illness on financial situation (4-items, α = 0.73). The measure demonstrated a ceiling effect for 2% of participants and floor effects for 7%. Worse financial toxicity scores were observed among adults who were women, were below the poverty line, had government-sponsored health insurance, were middle-aged, were not in the workforce, and had less educational attainment (P < 0.01). Worse financial toxicity was observed for those engaging in cost coping behaviors, such as taking less or skipping medicines, delaying care, borrowing money, "maxing out" the limit on credit cards, and not paying bills (P < 0.01). In regression models for the full measure and its two factors, worse financial toxicity was correlated with higher A1C (P < 0.01), higher levels of diabetes distress (P < 0.01), more chronic conditions (P < 0.01), and more depressive symptoms (P < 0.01). CONCLUSIONS: Findings support both the reliability and validity of the COST-FACIT tool among adults with diabetes and high A1C levels. More research is needed to support the use of the COST-FACIT tool as a clinically relevant patient-centered instrument for diabetes care.

Study protocol: CareAvenue program to improve unmet social risk factors and diabetes outcomes- A randomized controlled trial.

Despite the burdens costs can place on adults with diabetes, few evidence-based, scalable interventions have been identified that address prevalent health-related financial burdens and unmet social risk factors that serve as major obstacles to effective diabetes management. In this study, we will test the effectiveness of CareAvenue - an automated e-health tool that screens for unmet social risk factors and informs and activates individuals to take steps to connect to resources and engage in self-care. We will determine the effectiveness of CareAvenue relative to standard care with respect to improving glycemic control and patient-centered outcomes such as cost-related non-adherence (CRN) behaviors and perceived financial burden. We will also examine the role of patient risk factors (moderators) and behavioral factors (mediators) on the effectiveness of CareAvenue in improving outcomes. We will recruit 720 patients in a large health system with uncontrolled Type 1 diabetes mellitus (T1DM) or Type 2 diabetes mellitus (T2DM) who engage in CRN or perceive financial burden. Participants will be randomized to one of two arms: 1) receipt of a 15-20 min web-based program with routine follow-up (CareAvenue); or 2) receipt of contact information for existing health system assistance services. Outcomes will be assessed at baseline and 6- and 12-month follow-up. Clinical Trial Registration: ClinicalTrials.gov ID NCT03950973, May 2019.

Implementation and barriers to uptake of interactive voice response technology aimed to improve blood pressure control at a large academic medical center.

OBJECTIVES: Blood pressure control among patients with hypertension is a widely recognized quality metric, but many large health systems fail to reach targets set by the Healthcare Effectiveness Data and Information Set. We developed an interactive voice response (IVR) system called the "Mobile You Blood Pressure Program" at a large academic medical center and linked it to the health system's electronic health record (EHR). The goal of the program was to capture home blood pressure readings in the EHR and to alert ambulatory care clinical pharmacists automatically of readings below or above clinical thresholds through direct messaging in the EHR. The goal of this report is to describe implementation of IVR, initial patient participation rates, and pharmacist-identified barriers to patient enrollment. SETTING: Ambulatory care clinical pharmacist specialists' practice in 14 clinics in family medicine and internal medicine at Michigan Medicine, an academic health system serving more than 24,000 patients with a diagnosis of hypertension. PRACTICE DESCRIPTION: This study describes implementation and initial patient enrollment in IVR linked to the EHR for home blood pressure monitoring. EVALUATION: We tracked the number of hypertensive patients enrolled and IVR call completion rates between September 2017 and February 2018. We also assessed pharmacist-identified barriers to patient enrollment during 2 separate 2-week intervals in January and February 2018. RESULTS: Between September 1, 2017, and February 28, 2018, a total of 71 patients were enrolled from 14 clinics. Patients were scheduled for 1-3 IVR calls per week focusing on medication adherence and blood pressure control. A total of 936 IVR phone calls were made, with 488 (52%) calls completed. Access to a validated home blood pressure monitor was the largest pharmacist-identified barrier to patient enrollment. CONCLUSIONS: The IVR Mobile You Blood Pressure Program represents a new application of digital technology within our health system. Pharmacist-identified barriers to patient participation included access to a validated home blood pressure monitor.

Socioeconomic Status and Glycemic Control in Type 2 Diabetes; Race by Gender Differences.

Background: This study aimed to investigate differences in the association between socioeconomic status (SES) and glycemic control in type 2 diabetes mellitus (DM) across race by gender groups. Methods: Using a convenient sampling strategy, participants were 112 patients with type 2 DM who were prescribed insulin (ns = 38 Black women, 34 Black men, 14 White women, and 26 White men, respectively). Linear regression was used to test the associations between sociodemographic variables (race, gender, SES, governmental insurance) and Hemoglobin A1c (HbA1c) in the pooled sample and within subgroups defined by race and gender. Results: In the pooled sample, neither SES nor governmental insurance were associated with HbA1c. However, the race by gender interaction approached statistical significance (B = 0.34, 95% CI = -0.24-3.00, p =0.094), suggesting higher HbA1c in Black women, compared to other race by gender groups. In stratified models, SES (B = -0.33, 95% CI = -0.10-0.00, p = 0.050), and governmental insurance (B = 0.35, 95% CI = 0.05-2.42, p = 0.042) were associated with HbA1c for Black men, but not for any of the other race by gender subgroups. Conclusion: Socioeconomic factors may relate to health outcomes differently across race by gender subgroups. In particular, SES may be uniquely important for glycemic control of Black men. Due to lack of generalizability of the findings, additional research is needed.

Racial and Socioeconomic Disparities in Disabling Chronic Pain: Findings From the Health and Retirement Study.

The U.S. National Pain Strategy calls for increased population research on "high-impact chronic pain" (ie, longstanding pain that substantially limits participation in daily activities). Using data from the nationally-representative Health and Retirement Study (HRS), we investigated the prevalence of high-impact chronic pain in U.S. adults older than age 50 overall and within population subgroups. We also explored sociodemographic variation in pain-related disability within specific activity domains. Data are from a subsample of HRS respondents (n = 1,925) who were randomly selected for a supplementary pain module in 2010. Our outcome was operationalized as pain duration of ≥7 months and a disability rating of ≥7 (0-10 scale) in at least 1 domain: family/home, leisure, social activities, work, or basic activities. Overall, 8.2% (95% confidence interval = 6.7-10.1%) of adults older than age 50 met criteria for high-impact chronic pain. This proportion rose to 17.1% (95% confidence interval = 12.3-23.4%) among individuals in the lowest wealth quartile. Prevalence differences according to education, race/ethnicity, and age were not significant. Arthritis and depression were significantly associated with high-impact pain in multivariable analysis. Among adults with any chronic pain, African American and individuals in the lowest wealth quartile reported more pain-related disability across activity domains. PERSPECTIVE: High-impact chronic pain is unequally distributed among midlife and older U.S. adults. Efforts to reduce the burden of disabling chronic pain should prioritize socioeconomically vulnerable groups, who may have the least access to multimodal pain treatment to improve function.

Pilot study of psychotherapeutic text messaging for depression.

Background Text messaging services could increase access to psychotherapeutic content for individuals with depression by avoiding barriers to in-person psychotherapy such as cost, transportation, and therapist availability. Determining whether text messages reflecting different psychotherapeutic techniques exhibit differences in acceptability or effectiveness may help guide service development. Objectives We aimed to determine: (1) the feasibility of delivering a psychotherapy-based text messaging service to people with depression identified via the internet, (2) whether there is variation in satisfaction with messages according to the type of psychotherapeutic technique they represent, and (3) whether symptoms of depression vary according to receipt of each message type and participants' satisfaction with the messages they received. Methods For this study 190 US adults who screened positive for a major depressive episode (Patient Health Questionnaire (PHQ-9) score ≥10) were recruited from online advertisements. Participants received a daily psychotherapy-based text message 6 days per week for 12 weeks. Text messages were developed by a team of psychiatrists, psychologists, and social workers to reflect three psychotherapeutic approaches: acceptance and commitment therapy (ACT), behavioural activation, and cognitive restructuring. Each week the message type for the week was randomly assigned from one of the three types, allowing for repeats. Participants were asked daily to rate each message. On the 7th day of each week, participants completed a two-item depression screener (PHQ-2). Web-based surveys at baseline, 6, and 12 weeks were used as the primary measure of depressive symptoms (PHQ-9). Results Of the 190 participants enrolled, 85 (45%) completed the 6-week web survey and 67 (35%) completed the 12-week survey. The mean baseline PHQ-9 score was 19.4 (SD 4.2) and there was a statistically significant mean improvement in PHQ-9 scores of -2.9 (SD 6.0; p < 0.001) at 6 weeks and -4.8 (SD 6.6; p < 0.001) at 12 weeks. Mean satisfaction ratings did not vary across message types. There was generally no association between the number of weeks in which participants received a given message type and PHQ-9 scores at follow-up. However, among individuals with more severe depression at baseline (PHQ-9 ≥ 20; n = 30), the number of weeks of behavioural activation messages received was associated with less symptom improvement (ρ = 0.37; p = 0.04) at 12 weeks. Participants who gave higher satisfaction ratings to messages regardless of type had greater reductions in PHQ-9 scores at 6 weeks. Conclusions Study participants exhibited borderline clinically significant improvement in depressive symptoms at 12 weeks suggesting the effects of the intervention, if any, were small. Although there was no overall variation in changes in PHQ-9 according to users' exposure to the three message types, effectiveness among severely depressed participants could potentially be improved by tailoring towards fewer behavioural activation messages. Controlled studies to determine effectiveness of texting interventions such as this one are indicated considering that even small effects may be cost effective given the low cost of delivering text messages.

Social Determinants of Health, Cost-related Nonadherence, and Cost-reducing Behaviors Among Adults With Diabetes: Findings From the National Health Interview Survey.

BACKGROUND: Cost-related nonadherence (CRN) is prevalent among individuals with diabetes and can have significant negative health consequences. We examined health-related and non-health-related pressures and the use of cost-reducing strategies among the US adult population with and without diabetes that may impact CRN. METHODS: Data from the 2013 wave of National Health Interview Survey (n=34,557) were used to identify the independent impact of perceived financial stress, financial insecurity with health care, food insecurity, and cost-reducing strategies on CRN. RESULTS: Overall, 11% (n=4158) of adults reported diabetes; 14% with diabetes reported CRN, compared with 7% without diabetes. Greater perceived financial stress [prevalence ratio (PR)=1.07; 95% confidence interval (CI), 1.05-1.09], financial insecurity with health care (PR=1.6; 95% CI, 1.5-1.67), and food insecurity (PR=1.30; 95% CI, 1.2-1.4) were all associated with a greater likelihood of CRN. Asking the doctor for a lower cost medication was associated with a lower likelihood of CRN (PR=0.2; 95% CI, 0.2-0.3), and 27% with CRN reported this. Other cost-reducing behavioral strategies (using alternative therapies, buying prescriptions overseas) were associated with a greater likelihood of CRN. CONCLUSIONS: Half of the adults with diabetes perceived financial stress, and one fifth reported financial insecurity with health care and food insecurity. Talking to a health care provider about low-cost options may be protective against CRN in some situations. Improving screening and communication to identify CRN and increase transparency of low-cost options patients are pursuing may help safeguard from the health consequences of cutting back on treatment.

Financial Strain and Medication Adherence among Diabetes Patients in an Integrated Health Care Delivery System: The Diabetes Study of Northern California (DISTANCE).

OBJECTIVE: To examine self-reported financial strain in relation to pharmacy utilization adherence data. DATA SOURCES/STUDY SETTING: Survey, administrative, and electronic medical data from Kaiser Permanente Northern California. STUDY DESIGN: Retrospective cohort design (2006, n = 7,773). DATA COLLECTION/EXTRACTION METHODS: We compared survey self-reports of general and medication-specific financial strain to three adherence outcomes from pharmacy records, specifying adjusted generalized linear regression models. PRINCIPAL FINDINGS: Eight percent and 9 percent reported general and medication-specific financial strain. In adjusted models, general strain was significantly associated with primary nonadherence (RR = 1.37; 95 percent CI: 1.04-1.81) and refilling late (RR = 1.34; 95 percent CI: 1.07-1.66); and medication-specific strain was associated with primary nonadherence (RR = 1.42, 95 percent CI: 1.09-1.84). CONCLUSIONS: Simple, minimally intrusive questions could be used to identify patients at risk of poor adherence due to financial barriers.

Mobile Health Devices as Tools for Worldwide Cardiovascular Risk Reduction and Disease Management.

We examined evidence on whether mobile health (mHealth) tools, including interactive voice response calls, short message service, or text messaging, and smartphones, can improve lifestyle behaviors and management related to cardiovascular diseases throughout the world. We conducted a state-of-the-art review and literature synthesis of peer-reviewed and gray literature published since 2004. The review prioritized randomized trials and studies focused on cardiovascular diseases and risk factors, but included other reports when they represented the best available evidence. The search emphasized reports on the potential benefits of mHealth interventions implemented in low- and middle-income countries. Interactive voice response and short message service interventions can improve cardiovascular preventive care in developed countries by addressing risk factors including weight, smoking, and physical activity. Interactive voice response and short message service-based interventions for cardiovascular disease management also have shown benefits with respect to hypertension management, hospital readmissions, and diabetic glycemic control. Multimodal interventions including Web-based communication with clinicians and mHealth-enabled clinical monitoring with feedback also have shown benefits. The evidence regarding the potential benefits of interventions using smartphones and social media is still developing. Studies of mHealth interventions have been conducted in >30 low- and middle-income countries, and evidence to date suggests that programs are feasible and may improve medication adherence and disease outcomes. Emerging evidence suggests that mHealth interventions may improve cardiovascular-related lifestyle behaviors and disease management. Next-generation mHealth programs developed worldwide should be based on evidence-based behavioral theories and incorporate advances in artificial intelligence for adapting systems automatically to patients' unique and changing needs.

Ethnic Differences in Geriatric Conditions and Diabetes Complications Among Older, Insured Adults With Diabetes: The Diabetes and Aging Study.

OBJECTIVE: The aim of this study was to evaluate ethnic differences in burden of prevalent geriatric conditions and diabetic complications among older, insured adults with diabetes. METHOD: An observational study was conducted among 115,538 diabetes patients, aged ≥60, in an integrated health care system with uniform access to care. RESULTS: Compared with Whites, Asians and Filipinos were more likely to be underweight but had substantively lower prevalence of falls, urinary incontinence, polypharmacy, depression, and chronic pain, and were least likely of all groups to have at least one geriatric condition. African Americans had significantly lower prevalence of incontinence and falls, but higher prevalence of dementia; Latinos had a lower prevalence of falls. Except for end-stage renal disease (ESRD), Whites tended to have the highest rates of prevalent diabetic complications. DISCUSSION: Among these insured older adults, ethnic health patterns varied substantially; differences were frequently small and rates were often better among select minority groups, suggesting progress toward the Healthy People 2020 objective to reduce health disparities.

Mobile health monitoring to characterize depression symptom trajectories in primary care.

BACKGROUND: Classification of depression severity can guide treatment decisions. This study examined whether using repeated mobile health assessments to determine symptom trajectories is a potentially useful method for classifying depression severity. METHODS: 344 primary care patients with depression were identified and recruited as part of a program of mobile health symptom monitoring and self-management support. Depression symptoms were measured weekly via interactive voice response (IVR) calls using the Patient Health Questionnaire (PHQ-9). Trajectory analysis of weekly IVR PHQ-9 scores from baseline through week 6 was used to subgroup patients according to similar trajectories. Multivariable linear regression was used to determine whether the trajectories predicted 12-week PHQ-9 scores after adjusting for baseline and 6-week PHQ-9 scores. RESULTS: The optimal trajectory analysis model included 5 non-intersecting trajectories. The subgroups of patients assigned to each trajectory had mean baseline PHQ-9s of 19.7, 14.5, 9.5, 5.0, and 2.0, and respective mean decreases in PHQ-9s over six weeks of .3, 2.0, 3.6, 2.3, and 1.9. In regression analyses, each trajectory significantly predicted 12-week PHQ-9 scores (using the modal trajectory as a reference) after adjusting for both baseline and 6-week PHQ-9 scores. LIMITATIONS: Treatment history was unknown, findings may not be generalizable to new episodes of treatment. CONCLUSIONS: Depression symptom trajectories based on mobile health assessments are predictive of future depression outcomes, even after accounting for typical assessments at baseline and a single follow-up time point. Approaches to classify patients׳ disease status that involve multiple repeated assessments may provide more accurate and useful information for depression management compared to lower frequency monitoring.

The potential impact of intelligent systems for mobile health self-management support: Monte Carlo simulations of text message support for medication adherence.

BACKGROUND: Mobile health (mHealth) services cannot easily adapt to users' unique needs. PURPOSE: We used simulations of text messaging (SMS) for improving medication adherence to demonstrate benefits of interventions using reinforcement learning (RL). METHODS: We used Monte Carlo simulations to estimate the relative impact of an intervention using RL to adapt SMS adherence support messages in order to more effectively address each non-adherent patient's adherence barriers, e.g., forgetfulness versus side effect concerns. SMS messages were assumed to improve adherence only when they matched the barriers for that patient. Baseline adherence and the impact of matching messages were estimated from literature review. RL-SMS was compared in common scenarios to simple reminders, random messages, and standard tailoring. RESULTS: RL could produce a 5-14% absolute improvement in adherence compared to current approaches. When adherence barriers are not accurately reported, RL can recognize which barriers are relevant for which patients. When barriers change, RL can adjust message targeting. RL can detect when messages are sent too frequently causing burnout. CONCLUSIONS: RL systems could make mHealth services more effective.

Improvements in illness self-management and psychological distress associated with telemonitoring support for adults with diabetes.

OBJECTIVE: The objective of this observational open label trial was to characterize changes in diabetes self-management and psychological distress associated with a mobile health (mHealth) interactive voice response (IVR) self-management support program. METHODS: For 3-6 months, 301 patients with diabetes received weekly IVR calls assessing health status and self-care and providing tailored pre-recorded self-management support messages. Patients could participate together with an informal caregiver who received suggestions on self-management support, and patients' clinicians were notified automatically when patients reported significant problems. RESULTS: Patients completed 84% of weekly calls, providing 5682 patient-weeks of data. Thirty-nine percent participated with an informal caregiver. Outcome analyses adjusted for study design factors and sociodemographics indicated significant pre-post improvement in medication adherence, physical functioning, depressive symptoms, and diabetes-related distress (all p values <0.001). Analyses of self-management problems indicated that as the intervention proceeded, there were significant improvements in patients' IVR-reported frequency of weekly medication adherence, SMBG performance, checking feet, and frequency of abnormal self-monitored blood glucose readings (all p values <0.001). CONCLUSIONS: We conclude that the combined program of automated telemonitoring, clinician notification, and informal caregiver involvement was associated with consistent improvements in medication adherence, diabetes self-management behaviors, physical functioning, and psychological distress. A randomized controlled trial is needed to verify these encouraging findings.

Maximizing the value of mobile health monitoring by avoiding redundant patient reports: prediction of depression-related symptoms and adherence problems in automated health assessment services.

BACKGROUND: Interactive voice response (IVR) calls enhance health systems' ability to identify health risk factors, thereby enabling targeted clinical follow-up. However, redundant assessments may increase patient dropout and represent a lost opportunity to collect more clinically useful data. OBJECTIVE: We determined the extent to which previous IVR assessments predicted subsequent responses among patients with depression diagnoses, potentially obviating the need to repeatedly collect the same information. We also evaluated whether frequent (ie, weekly) IVR assessment attempts were significantly more predictive of patients' subsequent reports than information collected biweekly or monthly. METHODS: Using data from 1050 IVR assessments for 208 patients with depression diagnoses, we examined the predictability of four IVR-reported outcomes: moderate/severe depressive symptoms (score ≥10 on the PHQ-9), fair/poor general health, poor antidepressant adherence, and days in bed due to poor mental health. We used logistic models with training and test samples to predict patients' IVR responses based on their five most recent weekly, biweekly, and monthly assessment attempts. The marginal benefit of more frequent assessments was evaluated based on Receiver Operator Characteristic (ROC) curves and statistical comparisons of the area under the curves (AUC). RESULTS: Patients' reports about their depressive symptoms and perceived health status were highly predictable based on prior assessment responses. For models predicting moderate/severe depression, the AUC was 0.91 (95% CI 0.89-0.93) when assuming weekly assessment attempts and only slightly less when assuming biweekly assessments (AUC: 0.89; CI 0.87-0.91) or monthly attempts (AUC: 0.89; CI 0.86-0.91). The AUC for models predicting reports of fair/poor health status was similar when weekly assessments were compared with those occurring biweekly (P value for the difference=.11) or monthly (P=.81). Reports of medication adherence problems and days in bed were somewhat less predictable but also showed small differences between assessments attempted weekly, biweekly, and monthly. CONCLUSIONS: The technical feasibility of gathering high frequency health data via IVR may in some instances exceed the clinical benefit of doing so. Predictive analytics could make data gathering more efficient with negligible loss in effectiveness. In particular, weekly or biweekly depressive symptom reports may provide little marginal information regarding how the person is doing relative to collecting that information monthly. The next generation of automated health assessment services should use data mining techniques to avoid redundant assessments and should gather data at the frequency that maximizes the value of the information collected.

Medication acquisition across systems of care and patient-provider communication among older veterans.

PURPOSE: The results of a survey assessing Medicare Part D enrollment, the use of pharmacotherapies for chronic diseases, and other medication-use issues in a population of elderly military veterans are presented. METHODS: Medicare-eligible (i.e., ≥65 years of age) patients with documented recent service use at a single Veterans Affairs (VA) medical center were targeted for a mail survey. Women were oversampled (20%) to ensure an adequate sample size; the sample was weighted to adjust for this oversampling. Usable survey data were received from 458 survey respondents. RESULTS: Nearly all respondents (93.2%) reported having one or more chronic conditions; of those, 93.3% reported regular use of multiple drug therapies, and 30.1% reported using medications prescribed by both VA and non-VA providers for the same chronic condition. About half of the survey respondents reported at least one office visit with a non-VA physician during the previous year, and 55.8% reported obtaining medications from non-VA pharmacies. More than half (54.1%) of the respondents reported non-VA medication coverage, with 21.2% indicating they were enrolled in Medicare Part D. Among the respondents who reported obtaining medications from non-VA pharmacies, substantial proportions reported discussing those medications with VA physicians never (38.4%) or infrequently (15.7%). CONCLUSION: Although large proportions of Medicare-eligible veterans take multiple medications and use non-VA health care services and pharmacies, many do not discuss medications obtained outside the VA system with VA physicians, suggesting that increased efforts to enhance provider-patient communication and medication reconciliation across VA and non-VA systems of care may be warranted.

Recent trends in cost-related medication nonadherence among stroke survivors in the United States.

OBJECTIVE: Recent economic and health policy changes may have affected the ability of chronically ill patients to afford their medications. We assessed changes in cost-related nonadherence to medication (CRN) before and after the implementation of Medicare Part D in 2006. METHODS: We used data from the National Health Interview Survey, an annual, population-based survey of community-dwelling, noninstitutionalized US adults, to estimate CRN in 8,673 stroke survivors aged 45 years or older, representing 4.8 million survivors, for the years 1999 to 2010. The main outcome measure was CRN, defined as self-reported inability to afford prescribed medication within the past 12 months. RESULTS: During the period 1999 to 2010, 11.4% of stroke survivors, approximately 543,000 individuals, reported CRN. From 1999 to 2010, CRN more than doubled among stroke survivors aged 45 to 64 years (from 12.7 to 26.5%; ptrend = 0.01). CRN remained stable among those aged 65 years or older (from 3.8 to 7.0%; ptrend = 0.21). From 1999-2005 to 2006-2010, CRN among uninsured stroke survivors aged 45 to 64 years increased from 43.1 to 57.1% (p = 0.03). Among stroke survivors aged 65 years or older with Medicare coverage, CRN was higher among Medicare Part D participants than those without the drug benefit (7.9 vs 4.8%; p = 0.02). After adjustment for sociodemographic and clinical factors, CRN was similar among Medicare Part D enrollees and nonenrollees. INTERPRETATION: From 1999 to 2010, CRN increased significantly among stroke survivors younger than 65 years, particularly among those without health insurance. There was no evidence that Medicare Part D decreased CRN among stroke survivors with Medicare.

Monitoring quality of life among prostate cancer survivors: the feasibility of automated telephone assessment.

OBJECTIVE: To examine the feasibility of using automated interactive voice response calls to assess prostate cancer survivor quality of life (QOL). In light of an increasing focus on patient-centered outcomes, innovative and efficient approaches to monitor QOL among prostate cancer survivors are increasingly valuable. METHODS: Forty prostate cancer survivors less than 1 year post-treatment were enrolled at a university-based cancer center clinic from July through August 2011. We adapted the Expanded Prostate Cancer Index Composite (EPIC) survey, a prostate cancer-specific QOL instrument, for use via personal telephone with interactive voice response. We compared written vs interactive voice response EPIC scores across urinary, sexual, bowel, and vitality domains. RESULTS: The median age of respondents was 63 years (range, 41-76 years) and the majority had undergone surgery (97.5%). The entire interactive voice response call was completed by 35 participants (87.5%). Over half of all interactive voice response calls were answered after 2 attempts with a median length of 11.3 minutes. On average, interactive voice response EPIC scores were slightly lower than written scores (-2.1 bowel, P = .05; -4.6 urinary incontinence, P < .01). Test-retest reliability was very high for urinary incontinence (r = .97) and sexual function domains (r = .96). Although mean scores were similar for other domains, their distributions had significant ceiling effects limiting our reliability measure interpretation. CONCLUSION: Automated interactive voice response calls are a feasible strategy for assessing prostate cancer survivor QOL. Interactive voice response could provide a low cost, sustainable, and systematic approach to measuring patient-centered outcomes, conducting comparative effectiveness research, and monitoring the quality of prostate cancer care.

Mental health resource utilization and health care costs associated with race and comorbid anxiety among Medicaid enrollees with major depressive disorder.

OBJECTIVE: The objective of this study was to assess the association among race, comorbid anxiety, and mental health resource utilization among Medicaid enrollees with major depressive disorder (MDD). METHODS: A retrospective cross-sectional study design was used to identify adult patients with MDD newly initiating an antidepressant between January 1, 2004, and December 31, 2006, from the MarketScan Multi-State Medicaid Database. Measures of mental health resource utilization included mental health-related office visits, hospitalizations, emergency department visits, and health care costs. The associations of mental health resource utilization with race and comorbid anxiety were examined respectively using multivariable logistic regression, negative binominal regression, and log-transformed linear regression models. RESULTS: A total of 3083 Medicaid enrollees with MDD were included. Approximately 25% of patients had comorbid anxiety. Caucasians were more likely to have comorbid anxiety than African Americans (30.2% vs 16.4%, p < .01). After controlling for covariates, comorbid anxiety was significantly associated with more frequent mental health resource utilization. African Americans were significantly less likely than Caucasians to have mental health-related office visits (OR, 0.54; 95% CI, 0.45-0.66) but more likely to be hospitalized (OR, 2.57; 95% CI, 1.84-3.60) and to have emergency department visits (OR, 1.52; 95% CI, 1.05-2.19). CONCLUSIONS: Comorbid anxiety was positively associated with mental health resource utilization among Medicaid enrollees with MDD. Health disparities in health care utilization between African Americans and Caucasians still exist.