Comparing the clinical and cost-effectiveness of remote (telehealth and online) cognitive behavioral therapy-based treatments for high-impact chronic pain relative to usual care: study protocol for the RESOLVE multisite randomized control trial.

BACKGROUND: Cognitive behavioral therapy for chronic pain (CBT-CP) is an effective but underused treatment for high-impact chronic pain. Increased access to CBT-CP services for pain is of critical public health importance, particularly for rural and medically underserved populations who have limited access due to these services being concentrated in urban and high income areas. Making CBT-CP widely available and more affordable could reduce barriers to CBT-CP use. METHODS: As part of the National Institutes of Health Helping to End Addiction Long-term® (NIH HEAL) initiative, we designed and implemented a comparative effectiveness, 3-arm randomized control trial comparing remotely delivered telephonic/video and online CBT-CP-based services to usual care for patients with high-impact chronic pain. The RESOLVE trial is being conducted in 4 large integrated healthcare systems located in Minnesota, Georgia, Oregon, and Washington state and includes demographically diverse populations residing in urban and rural areas. The trial compares (1) an 8-session, one-on-one, professionally delivered telephonic/video CBT-CP program; and (2) a previously developed and tested 8-session online CBT-CP-based program (painTRAINER) to (3) usual care augmented by a written guide for chronic pain management. Participants are followed for 1 year post-allocation and are assessed at baseline, and 3, 6, and 12 months post-allocation. The primary outcome is minimal clinically important difference (MCID; ≥ 30% reduction) in pain severity (composite of pain intensity and pain-related interference) assessed by a modified 11-item version of the Brief Pain Inventory-Short Form at 3 months. Secondary outcomes include pain severity, pain intensity, and pain-related interference scores, quality of life measures, and patient global impression of change at 3, 6, and 12 months. Cost-effectiveness is assessed by incremental cost per additional patient with MCID in primary outcome and by cost per quality-adjusted life year achieved. Outcome assessment is blinded to group assignment. DISCUSSION: This large-scale trial provides a unique opportunity to rigorously evaluate and compare the clinical and cost-effectiveness of 2 relatively low-cost and scalable modalities for providing CBT-CP-based treatments to persons with high-impact chronic pain, including those residing in rural and other medically underserved areas with limited access to these services. TRIAL REGISTRATION: ClinicalTrials.gov NCT04523714. This trial was registered on 24 August 2020.

Costs and Cost-Effectiveness of Implementing a Digital Diabetes Prevention Program in a Large, Integrated Health System.

BackgroundThe Diabetes Prevention Program (DPP) has been translated into digital formats. We report an economic evaluation of a digital DPP implemented in a large, integrated health care system. MethodsPatients (n = 4148) were invited to participate in digital DPP based on clinical characteristics (HbA1c 5.7%-6.4% and body mass index ≥ 30 kg/m2) assessed using electronic medical record data. Using a propensity score we matched (1:1) enrolled and not enrolled patients for a total of 784. We identified high-risk patients (ie, above the 50th percentile of risk; n = 202) by calculating each patient's 2-year of developing diabetes. We report the cost of the intervention and the costs of medical care over 12- and 24-month follow-up, and the incremental cost-effectiveness ratio as the cost per additional kilogram weight loss at 24 months. ResultsAt 12 months, enrolled patients had lower total costs ($6,926, 95% CI $5,681-$8,171) than not enrolled patients ($7,538, 95% CI $6,293-$8,783). This pattern attenuated slightly at 24 months (enrolled = $16,255, 95% CI $14,097-$18,412; not enrolled = $16,688, 95% CI $14,531-$18,846). We found an incremental cost-effectiveness ratio of $81.92 per additional kilogram weight loss. For high-risk patients, the digital DPP group had, on average, lower costs and greater weight loss. We found a 55% chance of the digital DPP program being cost-effective at a willingness-to-pay of $150 per additional kilogram of weight loss; at the same willingness-to-pay, there is a 60% chance in the high-risk subgroup. Limitations include the nonrandomized design and potential volunteer bias. ConclusionDigital DPP had a favorable cost-effectiveness profile compared to other lifestyle interventions.

Economic Evaluation: A Randomized Pragmatic Trial of a Primary Care-based Cognitive Behavioral Intervention for Adults Receiving Long-term Opioids for Chronic Pain.

BACKGROUND: Chronic pain is prevalent and costly; cost-effective nonpharmacological approaches that reduce pain and improve patient functioning are needed. OBJECTIVE: Report the incremental cost-effectiveness ratio (ICER), compared with usual care, of cognitive behavioral therapy aimed at improving functioning and pain among patients with chronic pain on long-term opioid treatment. DESIGN: Economic evaluation conducted alongside a pragmatic cluster randomized trial. SUBJECTS: Adults with chronic pain on long-term opioid treatment (N=814). INTERVENTION: A cognitive behavioral therapy intervention teaching pain self-management skills in 12 weekly, 90-minute groups delivered by an interdisciplinary team (behaviorists, nurses) with additional support from physical therapists, and pharmacists. OUTCOME MEASURES: Cost per quality adjusted life year (QALY) gained, and cost per additional responder (≥30% improvement on standard scale assessment of Pain, Enjoyment, General Activity, and Sleep). Costs were estimated as-delivered, and replication. RESULTS: Per patient intervention replication costs were $2145 ($2574 as-delivered). Those costs were completely offset by lower medical care costs; inclusive of the intervention, total medical care over follow-up was $1841 lower for intervention patients. Intervention group patients also had greater QALY and responder gains than did controls. Supplemental analyses using pain-related medical care costs revealed ICERs of $35,000, and $53,000 per QALY (for replication, and as-delivered intervention costs, respectively); the ICER when excluding patients with outlier follow-up costs was $106,000. LIMITATIONS: Limited to 1-year follow-up; identification of pain-related utilization potentially incomplete. CONCLUSION: The intervention was the optimal choice at commonly accepted levels of willingness-to-pay for QALY gains; this finding was robust to sensitivity analyses.

Understanding the Relationship Between Depression Symptom Severity and Health Care Costs for Patients With Treatment-Resistant Depression.

Objective: To examine whether measures of depression symptom severity could improve understanding of health care costs for patients with major depressive disorder (MDD) or treatment-resistant depression (TRD) from the health plan perspective.Methods: In this retrospective cohort study within an integrated health system, cohorts consisted of 2 mutually exclusive groups: (1) adults with TRD based on a standard treatment algorithm and (2) adults with MDD, but no TRD, identified through ICD-9/10-CM codes. Depression severity was measured using the Patient Health Questionnaire-9 (PHQ-9). Patterns of health care resource utilization (HRU) and costs were compared between the TRD and MDD groups overall and within the groups at different symptom levels. A general linear model with a γ distribution and log link for cost outcomes, logistic regression for binary outcomes, and negative binomial regression for count outcomes were used.Results: Patients with TRD (n = 24,534) had greater comorbidity than those in the MDD group (n = 17,628). Mean age in the TRD group was 52.8 years versus 48.2 for MDD (P < .001). Both groups were predominantly female (TRD: 72.8% vs MDD: 66.9%; P < .001). Overall, the TRD group had greater costs than the MDD group, with 1.23 times (95% CI, 1.21-1.26; P < .001) greater total cost on average over 1 year following index date. Within both groups, those with severe symptoms had greater total mean (SD) costs (TRD: moderate: $12,429 [$23,900] vs severe: $13,344 [$22,895], P < .001; low: $12,220 [$31,864] vs severe: $13,344 [$22,895], P < .001; MDD: moderate: $8,899 [$20,755] vs severe: $10,098 [$22,853]; P < .001; low: $8,752 [$25,800] vs severe: $10,098 [$22,853], P < .001).Conclusions: MDD and TRD impose high costs for health systems, with increasing costs as PHQ-9 symptom severity rises. Better understanding of subgroups with different symptom levels could improve clinical care by helping target interventions.

Patterns of Medical Care Cost by Service Type for Patients With Recurrent and De Novo Advanced Cancer.

OBJECTIVES: There is limited knowledge about the cost patterns of patients who receive a diagnosis of de novo and recurrent advanced cancers in the United States. METHODS: Data on patients who received a diagnosis of de novo stage IV or recurrent breast, colorectal, or lung cancer between 2000 and 2012 from 3 integrated health systems were used to estimate average annual costs for total, ambulatory, inpatient, medication, and other services during (1) 12 months preceding de novo or recurrent diagnosis (preindex) and (2) diagnosis month through 11 months after (postindex), from the payer perspective. Generalized linear regression models estimated costs adjusting for patient and clinical factors. RESULTS: Patients who developed a recurrence <1 year after their initial cancer diagnosis had significantly higher total costs in the preindex period than those with recurrence ≥1 year after initial diagnosis and those with de novo stage IV disease across all cancers (all P < .05). Patients with de novo stage IV breast and colorectal cancer had significantly higher total costs in the postindex period than patients with cancer recurrent in <1 year and ≥1 year (all P < .05), respectively. Patients in de novo stage IV and those with recurrence in ≥1 year experienced significantly higher postindex costs than the preindex period (all P < .001). CONCLUSIONS: Our findings reveal distinct cost patterns between patients with de novo stage IV, recurrent <1-year, and recurrent ≥1-year cancer, suggesting unique care trajectories that may influence resource use and planning. Future cost studies among patients with advanced cancer should account for de novo versus recurrent diagnoses and timing of recurrence to obtain estimates that accurately reflect these care pattern complexities.

Cost-effectiveness of Brief Behavioral Therapy for Pediatric Anxiety and Depression in Primary Care.

Importance: Youth anxiety and depression are common and undertreated. Pediatric transdiagnostic interventions for anxiety and/or depression may be associated with improved access to treatment among youths. Objective: To evaluate the cost-effectiveness of a pediatric transdiagnostic brief behavioral therapy (BBT) program for anxiety and/or depression compared with assisted referral to community outpatient mental health care (ARC). Design, Setting, and Participants: In this economic evaluation, an incremental cost-effectiveness analysis was performed from the societal perspective using data from a randomized clinical trial of youths with full or probable diagnoses of anxiety or depression who were recruited from pediatric clinics in San Diego, California, and Pittsburgh, Pennsylvania. The trial was conducted from October 6, 2010, through December 5, 2014, and this analysis was performed from January 1, 2019, through October 20, 2020. Interventions: In the randomized clinical trial, youths were randomized to BBT (n = 95) or ARC (n = 90). The BBT program consisted of 8 to 12 weekly 45-minute sessions of behavioral therapy delivered in pediatric clinics by master's-level therapists. Families randomized to ARC received personalized referrals to mental health care and telephone calls to support access to care. Main Outcomes and Measures: Anxiety-free days, depression-free days, quality-adjusted life-years (QALYs), and costs based on incremental cost-effectiveness ratios from intake through 32-week follow-up. A cost-effectiveness acceptability curve for QALYs was used to assess the probability that BBT was cost-effective compared with ARC over a range of amounts that a decision-maker might be willing to pay for an additional outcome. Results: Enrolled patients included 185 youths (mean [SD] age, 11.3 [2.6] years; 107 [57.8%] female; 144 [77.8%] White; and 38 [20.7%] Hispanic). Youths who received BBT experienced significantly more anxiety-free days (difference, 28.63 days; 95% CI, 5.86-50.71 days; P = .01) and QALYs (difference, 0.026; 95% CI, 0.009-0.046; P = .007) compared with youths who received ARC. Youths who received BBT experienced more depression-free days than did youths who received ARC (difference, 10.52 days; 95% CI, -4.50 to 25.76 days; P = .18), but the difference was not statistically significant. The mean incremental cost-effectiveness ratio was -$41 414 per QALY (95% CI, -$220 601 to $11 468). The cost-effectiveness acceptability curve analysis indicated that, at a recommended willingness-to-pay threshold of $50 000 per QALY, the probability that BBT would be cost-effective compared with ARC at 32 weeks was 95.6%. Conclusions and Relevance: In this economic evaluation, BBT in primary care was significantly associated with better outcomes and a greater probability of cost-effectiveness at 32 weeks compared with ARC. The findings suggest that transdiagnostic BBT may be associated with improved youth anxiety and functioning at a reasonable cost.

Health Care Costs by Type of Expenditure across eGFR Stages among Patients with and without Diabetes, Cardiovascular Disease, and Heart Failure.

BACKGROUND: CKD is associated with higher health care costs that increase with disease progression. However, research is lacking on the type of health care costs associated with CKD across all stages in a general population with a substantial comorbidity burden. METHODS: Using electronic medical records of an integrated delivery system, we evaluated health care costs by expenditure type in general and in patients with CKD by eGFR and presence of comorbidities. We categorized 146,132 patients with eGFR data in 2016 or 2017 and examined nonmutually exclusive groups according to presence of diabetes mellitus, cardiovascular disease, or heart failure. We used 1 year of follow-up data to calculate outpatient, inpatient, emergency, pharmaceutical, dialysis, and total health care costs by eGFR (Kidney Disease Improving Global Outcomes-defined eGFR categories), adjusted for age, sex, and nonwhite race. RESULTS: Mean total health care costs among patients with CKD without comorbidities were 31% higher than among patients without CKD ($7374 versus $5631, respectively). Hospitalizations accounted for 35% of total costs among those with CKD and no comorbidities but up to 55% among patients with CKD and heart failure. The proportion of costs attributable to hospitalizations accelerated with declining kidney function, reaching as high as 66%. CONCLUSIONS: Poorer kidney function and the presence of diabetes mellitus, cardiovascular disease, or heart failure drive substantial health care costs and increase the proportion of costs attributable to inpatient care. The large contribution of inpatient costs begins in earlier stages of CKD and escalates as kidney function declines. Additional therapies to reduce CKD incidence, slow CKD progression, and lower hospitalization risk are needed to benefit patients and reduce CKD's economic burden.

The effect of multiple recruitment contacts on response rates and patterns of missing data in a survey of bladder cancer survivors 6 months after cystectomy.

PURPOSE: The Bladder Cancer Quality of Life Study collected detailed and sensitive patient-reported outcomes from bladder cancer survivors in the period after bladder removal surgery, when participation in survey research may present a burden. This paper describes the study recruitment methods and examines the response rates and patterns of missing data. METHODS: Detailed surveys focusing on quality of life, healthcare decision-making, and healthcare expenses were mailed to patients 5-7 months after cystectomy. We conducted up to 10 follow-up recruitment calls. We analyzed survey completion rates following each contact in relation to demographic and clinical characteristics, and patterns of missing data across survey content areas. RESULTS: The overall response rate was 71% (n = 269/379). This was consistent across patient clinical characteristics; response rates were significantly higher among patients over age 70 and significantly lower among racial and ethnic minority patients compared to non-Hispanic white patients. Each follow-up contact resulted in marginal survey completion rates of at least 10%. Rates of missing data were low across most content areas, even for potentially sensitive questions. Rates of missing data differed significantly by sex, age, and race/ethnicity. CONCLUSIONS: Despite the effort required to participate in research, this population of cancer survivors showed willingness to share detailed information about quality of life, health care decision-making, and expenses, soon after major cancer surgery. Additional contacts were effective at increasing participation. Response patterns differed by race/ethnicity and other demographic factors. Our data collection methods show that it is feasible to gather detailed patient-reported outcomes during this challenging period.

Spending for Advanced Cancer Diagnoses: Comparing Recurrent Versus De Novo Stage IV Disease.

PURPOSE: Spending for patients with advanced cancer is substantial. Past efforts to characterize this spending usually have not included patients with recurrence (who may differ from those with de novo stage IV disease) or described which services drive spending. METHODS: Using SEER-Medicare data from 2008 to 2013, we identified patients with breast, colorectal, and lung cancer with either de novo stage IV or recurrent advanced cancer. Mean spending/patient/month (2012 US dollars) was estimated from 12 months before to 11 months after diagnosis for all services and by the type of service. We describe the absolute difference in mean monthly spending for de novo versus recurrent patients, and we estimate differences after controlling for type of advanced cancer, year of diagnosis, age, sex, comorbidity, and other factors. RESULTS: We identified 54,982 patients with advanced cancer. Before diagnosis, mean monthly spending was higher for recurrent patients (absolute difference: breast, $1,412; colorectal, $3,002; lung, $2,805; all P < .001), whereas after the diagnosis, it was higher for de novo patients (absolute difference: breast, $2,443; colorectal, $4,844; lung, $2,356; all P < .001). Spending differences were driven by inpatient, physician, and hospice services. Across the 2-year period around the advanced cancer diagnosis, adjusted mean monthly spending was higher for de novo versus recurrent patients (spending ratio: breast, 2.39 [95% CI, 2.05 to 2.77]; colorectal, 2.64 [95% CI, 2.31 to 3.01]; lung, 1.46 [95% CI, 1.30 to 1.65]). CONCLUSION: Spending for de novo cancer was greater than spending for recurrent advanced cancer. Understanding the patterns and drivers of spending is necessary to design alternative payment models and to improve value.

Balancing Adherence and Expense: The Cost-Effectiveness of Two-Sample vs One-Sample Fecal Immunochemical Test.

Colorectal cancer (CRC) causes more than 50,000 deaths each year in the United States but early detection through screening yields survival gains; those diagnosed with early stage disease have a 5-year survival greater than 90%, compared to 12% for those diagnosed with late stage disease. Using data from a large integrated health system, this study evaluates the cost-effectiveness of fecal immunochemical testing (FIT), a common CRC screening tool. A probabilistic decision-analytic model was used to examine the costs and outcomes of positive test results from a 1-FIT regimen compared with a 2-FIT regimen. The authors compared 5 diagnostic cutoffs of hemoglobin concentration for each test (for a total of 10 screening options). The principal outcome from the analysis was the cost per additional advanced neoplasia (AN) detected. The authors also estimated the number of cancers detected and life-years gained from detecting AN. The following costs were included: program management of the screening program, patient identification, FIT kits and their processing, and diagnostic colonoscopy following a positive FIT. Per-person costs ranged from $33 (1-FIT at 150ng/ml) to $92 (2-FIT at 50ng/ml) across screening options. Depending on willingness to pay, the 1-FIT 50 ng/ml and the 2-FIT 50 ng/ml are the dominant strategies with cost-effectiveness of $11,198 and $28,389, respectively, for an additional AN detected. The estimates of cancers avoided per 1000 screens ranged from 1.46 to 4.86, depending on the strategy and the assumptions of AN to cancer progression.

Comparison of Medical Care Utilization and Costs Among Patients With Statin-Controlled Low-Density Lipoprotein Cholesterol With Versus Without Hypertriglyceridemia.

High triglyceride (TG) levels are associated with higher medical costs, but the long-term impact of high TG on costs among patients with statin-controlled low-density lipoprotein cholesterol (LDL-C) is unclear. We compared medical utilization and costs over 6.5years between patients with high (200 to 400 mg/dl) versus normal (<150 mg/dl) TG levels, all of whom had established atherosclerotic cardiovascular disease (ASCVD). This was an observational cohort study of 17,183 patients with TG measured in 2010 and followed until death, disenrollment or the end of 2016. All patients had LDL-C levels between 40 and 100 mg/dl and were receiving statin therapy at the time of their TG measurement. We compared annualized medical utilization adjusted for differences between group in age, sex, race, and study site. We also compared annualized medical costs, further adjusting for baseline costs as a proxy for resource-intensive comorbidities. After multivariable adjustment, patients with high TG levels (n=2,702) had a mean of 13% more inpatient admissions per year (p <0.001). Despite adjustment for comorbidities such as diabetes and chronic kidney disease, total outpatient costs were 5% greater (p = 0.035) among those with high TG, including emergency care costs (6% greater) and hospital ambulatory costs (25% greater). The overall difference in annual costs of $964 per patient in the high TG cohort totaled over $2.6million per year in excess annual costs and more than $13.5million over the mean follow-up of 5.2years.

Medical Care Costs for Recurrent versus De Novo Stage IV Cancer by Age at Diagnosis.

OBJECTIVE: To address the knowledge gap regarding medical care costs for advanced cancer patients, we compared costs for recurrent versus de novo stage IV breast, colorectal, and lung cancer patients. DATA SOURCES/STUDY SETTING: Virtual Data Warehouse (VDW) information from three Kaiser Permanente regions: Colorado, Northwest, and Washington. STUDY DESIGN: We identified patients aged ≥21 with de novo or recurrent breast (nde novo  = 352; nrecurrent  = 765), colorectal (nde novo  = 1,072; nrecurrent  = 542), and lung (nde novo  = 4,041; nrecurrent  = 340) cancers diagnosed 2000-2012. We estimated average total monthly and annual costs in the 12 months preceding, month of, and 12 months following the index de novo/recurrence date, stratified by age at diagnosis (<65, ≥65). Generalized linear repeated-measures models controlled for demographics and comorbidity. PRINCIPAL FINDINGS: In the pre-index period, monthly costs were higher for recurrent than for de novo breast (<65: +$2,431; ≥65: +$1,360), colorectal (<65: +$3,219; ≥65: +$2,247), and lung cancer (<65: +$3,086; ≥65: +$2,260) patients. Conversely, during the index and post-index periods, costs were higher for de novo patients. Average total annual pre-index costs were five- to ninefold higher for recurrent versus de novo patients <65. CONCLUSIONS: Cost differences by type of advanced cancer and by age suggest heterogeneous patterns of care that merit further investigation.

Medical Care Costs Associated With Cancer in Integrated Delivery Systems.

Background: The high economic burden of cancer is projected to continue growing. Cost-of-care estimates are key inputs for comparative effectiveness and economic analyses that aim to inform policies associated with cancer care. Existing estimates are based largely on SEER-Medicare data in the elderly, leaving a knowledge gap regarding costs for patients aged <65 years. Methods: We estimated total and net medical care costs using data on individuals diagnosed with breast, colorectal, lung, or prostate cancer (n=45,522) and noncancer controls (n=314,887) enrolled in 1 of 4 participating health plans. Net costs were defined as the difference in mean total costs between patients with cancer and controls. The phase-of-care approach and Kaplan-Meier Sample Average method were used to estimate mean total and net 1- and 5-year costs (in 2015 US dollars) by cancer site, stage at diagnosis, and age group (<65 and ≥65 years). Results: Total and net costs were consistently highest for lung cancer and lowest for prostate cancer. Net costs were higher across all cancer sites for patients aged <65 years than those aged ≥65 years. Medical care costs for all cancers increased with advanced stage at diagnosis. Conclusions: This study improves understanding of medical care costs for the 4 most common invasive cancers in the United States. Higher costs among patients aged <65 years highlight limitations of relying on SEER-Medicare data alone to understand the national burden of cancer, whereas higher costs for patients with advanced-stage cancer underscore the importance of early detection to curtail high long-term costs. These cost estimates can be used in the development and evaluation of interventions and policies across the cancer care continuum.

Effect of Combination Cholesterol-Lowering Therapy and Triglyceride-Lowering Therapy on Medical Costs in Patients With Type 2 Diabetes Mellitus.

High triglyceride (TG) levels among patients with type 2 diabetes mellitus (DM) are associated with higher medical costs. We analyzed the economic impact of TG-lowering therapies and whether the association between medical costs and therapy differed according to TG reduction. We conducted an observational cohort study of 184,932 patients with diabetes mellitus who had a TG measurement between January 2012 and June 2013 and a second TG measurement 3 to 15 months later. We identified 4 therapy groups (statin monotherapy, TG-specific monotherapy, statin/TG-specific combination therapy, or no therapy) and stratified those groups by percent change in TG (increased ≥5%, change of ≤4.9%, decreased 5% to 29%, decreased ≥30%). We compared change in medical costs between the year before and after therapy, adjusted for demographic and clinical characteristics. Of the 184,932 total patients, 143,549 (77.6%) received statin monotherapy, 900 (0.5%) received TG-specific monotherapy, 1,956 (1.1%) received statin and TG-specific combination therapy, and 38,527 (20.8%) received no prescription lipid agents. After covariate adjustment, statin/TG-specific agent recipients had a mean 1-year total cost reduction of $1,110. The greatest cost reduction was seen among statin/TG-specific combination therapy patients who reduced TG levels by ≥30% (-$2,859). Statin monotherapy patients who reduced TG by ≥30% also had a large reduction in adjusted costs (-$1,079). In conclusion, we found a substantial economic benefit to treating diabetic patients with statin/TG-specific combination lipid therapy compared with monotherapy of either type or no lipid pharmacotherapy. A TG reduction of ≥30% produced a particularly large reduction in 1-year medical costs.

Health Care Utilization Rates After Oregon's 2008 Medicaid Expansion: Within-Group and Between-Group Differences Over Time Among New, Returning, and Continuously Insured Enrollees.

BACKGROUND: Although past research demonstrated that Medicaid expansions were associated with increased emergency department (ED) and primary care (PC) utilization, little is known about how long this increased utilization persists or whether postcoverage utilization is affected by prior insurance status. OBJECTIVES: (1) To assess changes in ED, PC, mental and behavioral health care, and specialist care visit rates among individuals gaining Medicaid over 24 months postinsurance gain; and (2) to evaluate the association of previous insurance with utilization. METHODS: Using claims data, we conducted a retrospective cohort analysis of adults insured for 24 months following Oregon's 2008 Medicaid expansion. Utilization rates among 1124 new and 1587 returning enrollees were compared with those among 5126 enrollees with continuous Medicaid coverage (≥1 y preexpansion). Visit rates were adjusted for propensity score classes and geographic region. RESULTS: PC visit rates in both newly and returning insured individuals significantly exceeded those in the continuously insured in months 4 through 12, but were not significantly elevated in the second year. In contrast, ED utilization rates were significantly higher in returning insured compared with newly or continuously insured individuals and remained elevated over time. New visits to PC and specialist care were higher among those who gained Medicaid compared with the continuously insured throughout the study period. CONCLUSIONS: Predicting the effect of insurance expansion on health care utilization should account for the prior coverage history of new enrollees. In addition, utilization of outpatient services changes with time after insurance, so expansion evaluations should allow for rate stabilization.

Medical Care Costs Associated With Long-term Weight Maintenance Versus Weight Gain Among Patients With Type 2 Diabetes.

OBJECTIVE: Weight loss is recommended for overweight patients with diabetes but avoidance of weight gain may be a more realistic goal. We calculated the 4-year economic impact of maintaining body weight versus gaining weight. RESEARCH DESIGN AND METHODS: Among 8,154 patients with type 2 diabetes, we calculated weight change as the difference between the first body weight measure in 2010 and the last measure in 2013 and calculated mean glycated hemoglobin (A1C) from all measurements from 2010 to 2013. We created four analysis groups: weight change <5% and A1C <7%; weight gain ≥5% and A1C <7%; weight change <5% and A1C ≥7%; and weight gain ≥5% and A1C ≥7%. We compared change in medical costs between 2010 and 2013, adjusted for demographic and clinical characteristics. RESULTS: Patients who maintained weight within 5% of baseline experienced a reduction in costs of about $400 regardless of A1C. In contrast, patients who gained ≥5% of baseline weight and had mean A1C ≥7% had an increase in costs of $1,473 (P < 0.001). Those who gained >5% of their baseline weight with mean A1C <7% had a modest increase in costs ($387, NS). CONCLUSIONS: Patients who gained at least 5% of their baseline body weight and did not maintain A1C <7% over 4 years experienced a 14% increase in medical costs, whereas those who maintained good glycemic control had a mean cost increase of 3.3%. However, patients who maintained weight within 5% of baseline had costs that were ∼5% lower than baseline. Avoidance of weight gain may reduce costs in the long-term.

Improving Adherence to Cardiovascular Therapies: An Economic Evaluation of a Randomized Pragmatic Trial.

OBJECTIVE: Preplanned economic analysis of a pragmatic trial using electronic-medical-record-linked interactive voice recognition (IVR) reminders for enhancing adherence to cardiovascular medications (i.e., statins, angiotensin-converting enzyme inhibitors [ACEIs], and angiotensin receptor blockers [ARBs]). METHODS: Three groups, usual care (UC), IVR, and IVR plus educational materials (IVR+), with 21,752 suboptimally adherent patients underwent follow-up for 9.6 months on average. Costs to implement and deliver the intervention (from a payer perspective) were tracked during the trial. Medical care costs and outcomes were ascertained using electronic medical records. RESULTS: Per-patient intervention costs ranged from $9 to $17 for IVR and from $36 to $47 for IVR+. For ACEI/ARB, the incremental cost-effectiveness ratio for each percent adherence increase was about 3 times higher with IVR+ than with IVR ($6 and $16 for IVR and IVR+, respectively). For statins, the incremental cost-effectiveness ratio for each percent adherence increase was about 7 times higher with IVR+ than with IVR ($6 and $43 for IVR and IVR+, respectively). Considering potential cost offsets from reduced cardiovascular events, the probability of breakeven was the highest for UC, but the IVR-based interventions had a higher probability of breakeven for subgroups with a baseline low-density lipoprotein (LDL) level of more than 100 mg/dl and those with two or more calls. CONCLUSIONS: We found that the use of an automated voice messaging system to promote adherence to ACEIs/ARBs and statins may be cost-effective, depending on a decision maker's willingness to pay for unit increase in adherence. When considering changes in LDL level and downstream medical care offsets, UC is the optimal strategy for the general population. However, IVR-based interventions may be the optimal choice for those with elevated LDL values at baseline.

Advanced imaging among health maintenance organization enrollees with cancer.

PURPOSE: Fee-for-service (FFS) Medicare expenditures for advanced imaging studies (defined as computed tomography [CT], magnetic resonance imaging [MRI], positron emission tomography [PET] scans, and nuclear medicine studies [NM]) rapidly increased in the past two decades for patients with cancer. Imaging rates are unknown for patients with cancer, whether under or over age 65 years, in health maintenance organizations (HMOs), where incentives may differ. MATERIALS AND METHODS: Incident cases of breast, colorectal, lung, prostate, leukemia, and non-Hodgkin lymphoma (NHL) cancers diagnosed in 2003 and 2006 from four HMOs in the Cancer Research Network were used to determine 2-year overall mean imaging counts and average total imaging costs per HMO enrollee by cancer type for those under and over age 65. RESULTS: There were 44,446 incident cancer patient cases, with a median age of 75 (interquartile range, 71-81), and 454,029 imaging procedures were performed. The mean number of images per patient increased from 7.4 in 2003 to 12.9 in 2006. Rates of imaging were similar across age groups, with the exception of greater use of echocardiograms and NM studies in younger patients with breast cancer and greater use of PET among younger patients with lung cancer. Advanced imaging accounted for approximately 41% of all imaging, or approximately 85% of the $8.7 million in imaging expenditures. Costs were nearly $2,000 per HMO enrollee; costs for younger patients with NHL, leukemia, and lung cancer were nearly $1,000 more in 2003. CONCLUSION: Rates of advanced imaging appear comparable among FFS and HMO participants of any age with these six cancers.

The challenge of conducting comparative effectiveness research in cancer: the impact of a fragmented U.S. health-care system.

Comparative effectiveness research (CER) can make important contributions to the transformation of US health care by filling gaps left by tightly controlled clinical trials. However, without comprehensive and comparable data that reflect the diversity of the US health-care system, CER's value will be diminished. We document the limits of observational CER by examining the age at diagnosis, disease stage, and select measures of health-care use among individuals diagnosed with incident cancer aged 65 or older from four large health maintenance organizations (HMOs) relative to seniors identified through the linked Surveillance, Epidemiology, and End Results (SEER)-Medicare data for the period 1999-2007. Aged individuals in the HMOs were younger, diagnosed at earlier stages, and more likely to receive care in inpatient settings than individuals in the linked SEER-Medicare data. These differences highlight the need for comprehensive and comparable datasets that reflect the diversity of US health care to support CER that can inform health-care reform in the United States.

A standardized relative resource cost model for medical care: application to cancer control programs.

Medicare data represent 75% of aged and permanently disabled Medicare beneficiaries enrolled in the fee-for-service (FFS) indemnity option, but the data omit 25% of beneficiaries enrolled in Medicare Advantage health maintenance organizations (HMOs). Little research has examined how longitudinal patterns of utilization differ between HMOs and FFS. The Burden of Cancer Study developed and implemented an algorithm to assign standardized relative costs to HMO and Medicare FFS data consistently across time and place. Medicare uses 15 payment systems to reimburse FFS providers for covered services. The standardized relative resource cost algorithm (SRRCA) adapts these various payment systems to utilization data. We describe the rationale for modifications to the Medicare payment systems and discuss the implications of these modifications. We applied the SRRCA to data from four HMO sites and the linked Surveillance, Epidemiology, and End Results-Medicare data. Some modifications to Medicare payment systems were required, because data elements needed to categorize utilization were missing from both data sources. For example, data were not available to create episodes for home health services received, so we assigned costs per visit based on visit type (nurse, therapist, and aide). For inpatient utilization, we modified Medicare's payment algorithm by changing it from a flat payment per diagnosis-related group to daily rates for diagnosis-related groups to differentiate shorter versus longer stays. The SRRCA can be used in multiple managed care plans and across multiple FFS delivery systems within the United States to create consistent relative cost data for economic analyses. Prior to international use of the SRRCA, data need to be standardized.