Association of Direct Oral Anticoagulation Management Strategies With Clinical Outcomes for Adults With Atrial Fibrillation.

Importance: Anticoagulation management services (AMSs; ie, warfarin clinics) have evolved to include patients treated with direct oral anticoagulants (DOACs), but it is unknown whether DOAC therapy management services improve outcomes for patients with atrial fibrillation (AF). Objective: To compare outcomes associated with 3 DOAC care models for preventing adverse anticoagulation-related outcomes among patients with AF. Design, Setting, and Participants: This retrospective cohort study included 44 746 adult patients with a diagnosis of AF who initiated oral anticoagulation (DOAC or warfarin) between August 1, 2016, and December 31, 2019, in 3 Kaiser Permanente (KP) regions. Statistical analysis was conducted from August 2021 through May 2023. Exposures: Each KP region used an AMS to manage warfarin but used distinct approaches to DOAC care: (1) usual care (UC) by the prescribing clinician, (2) UC plus an automated population management tool (PMT), or (3) pharmacist-managed AMS care. Propensity scores and inverse probability of treatment weights (IPTWs) were estimated. Direct oral anticoagulant care models were first indirectly compared using warfarin as a common comparator within each region and then directly compared across regions. Main Outcomes and Measures: Patients were followed up until the first occurrence of an outcome (composite of thromboembolic stroke, intracranial hemorrhage, other major bleeding, or death), discontinuation of KP membership, or December 31, 2020. Results: Overall, 44 746 patients were included: 6182 in the UC care model (3297 DOAC; 2885 warfarin), 33 625 in the UC plus PMT care model (21 891 DOAC; 11 734 warfarin), and 4939 in the AMS care model (2089 DOAC; 2850 warfarin). Baseline characteristics (mean [SD] age, 73.1 [10.6] years, 56.1% male, 67.2% non-Hispanic White, median CHA2DS2-VASc [congestive heart failure, hypertension, age ≥75 years, diabetes, stroke, vascular disease, age 65-74 years, female sex] score of 3 [IQR, 2-5]) were well balanced after IPTW. Over a median follow-up of 2 years, patients who received the UC plus PMT or AMS care model did not have significantly better outcomes than those who received UC. The incidence rate of the composite outcome was 5.4% per year for DOAC and 9.1% per year for warfarin for those in the UC group, 6.1% per year for DOAC and 10.5% per year for those in the UC plus PMT group, and 5.1% per year for DOAC and 8.0% per year for those in the AMS group. The IPTW-adjusted hazard ratios (HRs) for the composite outcome comparing DOAC vs warfarin were 0.91 (95% CI, 0.79-1.05) in the UC group, 0.85 (95% CI, 0.79-0.90) in the UC plus PMT group, and 0.84 (95% CI, 0.72-0.99) in the AMS group (P = .62 for heterogeneity across care models). When directly comparing patients receiving DOAC, the IPTW-adjusted HR was 1.06 (95% CI, 0.85-1.34) for the UC plus PMT group vs the UC group and 0.85 (95% CI, 0.71-1.02) for the AMS group vs the UC group. Conclusions and Relevance: This cohort study did not find appreciably better outcomes for patients receiving DOAC who were managed by either a UC plus PMT or AMS care model compared with UC.

How Tailoring Led to Variation in Care Issues, Dosage, and Outcomes: Part 1: Secondary Analysis of the PREP Trial for Frail Older Adults and Family Caregivers.

In family caregiving interventions for adults with health problems, tailoring has become the norm. Studies that evaluate tailored interventions, however, have rarely included intentional variation in dosage or explored the dosage-outcome association. In this Part 1 secondary analysis, we examine dosage and outcomes in intervention families (N = 116) who participated in the Oregon Health & Science University/Kaiser Permanente Northwest Region Family Care Study. The Family Care Study was a randomized controlled trial to evaluate the preparedness, skill, enrichment, and predictability (PREP) intervention with caregiving families of frail older adults referred for skilled home health. Tailoring of PREP began with assessment by the PREP nurse. Families then identified and selected care-related issues to work on with their PREP nurse; family needs and preferences guided the number and timing of nurse visits and calls. Families selected a median of 3 (range = 0 to 10) care-related issues in five categories: direct care (chosen by 57% of families), transitions (40%), caregiver strain and health (40%), arranging care (33%), and enrichment (22%). The number of issues strongly predicted number of PREP nurse visits and calls, whereas nurse visits in turn predicted caregivers' reports of improved family care and usefulness of home health assistance, highlighting the importance of visits for achieving outcomes. [Research in Gerontological Nursing, 16(2), 57-70.].

How Concurrent Services Obscured Detection of Intervention Benefits: Part 2: Secondary Analysis of the PREP Trial for Frail Older Adults and Family Caregivers.

Family caregivers frequently use health and social services to support their caregiving. In evaluating care-giving interventions, however, researchers rarely examine the influences of such concurrent services on intervention effectiveness. In this Part 2 secondary analysis of data from the Oregon Health & Science University/Kaiser Permanente Northwest Region Family Care Study, we examined the moderating influences of concurrent services on intervention effectiveness. The Family Care Study was a randomized controlled trial to evaluate the preparedness, skill, enrichment, and predictability (PREP) intervention with caregivers of frail older adults referred for skilled home health. Compared with control caregivers receiving usual home health care (n = 103), PREP intervention caregivers (n = 104) reported greater improvements in family care (effect size, d = 0.58). We conducted follow-up analyses to determine whether PREP was differentially effective depending on whether dyads received concurrent Social Health Maintenance Organization (SHMO) services, concurrent hospice services, or neither. In the 55% of dyads not receiving SHMO or hospice, we found that PREP's effects were large compared to usual care (d = 1.16, p < 0.001). PREP's effects were not significant for dyads receiving concurrent SHMO or hospice services. Results highlight the strong benefits of hospice for control dyads, but reveal difficulties in evaluating intervention effectiveness when dyads receive concurrent services. [Research in Gerontological Nursing, 16(2), 71-83.].

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.

Sexually Transmitted Infection Testing, Prevalence, and Treatment Among Individuals Receiving HIV Preexposure Prophylaxis Within an Integrated Healthcare Delivery System.

BACKGROUND: Initial and follow-up sexually transmitted infection (STI) and human immunodeficiency virus (HIV) testing are recommended when taking HIV preexposure prophylaxis (PrEP). We assessed STI services before and after PrEP initiation among persons 18 years or older. METHODS: We conducted this retrospective cohort study at a US integrated healthcare delivery system. We measured HIV/STI testing rates, STI prevalence and treatment at 3 time points: (1) at PrEP initiation, (2) at 120 days, and (3) at 210 days. RESULTS: Of 685 PrEP initiators, 67.2% continued PrEP use at 120 days and 49.5% at 210 days. Of PrEP users, HIV and STI testing were greater than 85% and greater than 80%, respectively, at all 3 time points. Prevalence for any chlamydia, rectal chlamydia, and any gonorrhea, rectal gonorrhea, or pharyngeal gonorrhea was always high at the 120 days and 210 days (eg, 6.9%, 10.5%, 6.7%, 5.0%, and 5.2%, respectively, at the 120 days for continuous PrEP users). Over 90% of all individuals who tested positive for chlamydia and gonorrhea received antibiotic pharmacy fills within 7 days at 120 and 210 days. Monthly PrEP-related pharmacy cost was about $2259 to $2659. The proportion of the total medical cost that was PrEP-related pharmacy was about 82% for PrEP continuous users. CONCLUSIONS: Although HIV/STI testing rates were high, they can still be improved during HIV PrEP management. High STI prevalence after PrEP initiation in this study suggests that patients taking PrEP are at risk of acquiring an STI. Interventions to improve STI services during PrEP management are continuously needed.

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.

Evaluating the Implementation of Digital and In-Person Diabetes Prevention Program in a Large, Integrated Health System: Natural Experiment Study Design.

INTRODUCTION: Implementation of a Diabetes Prevention Program (DPP) in both in-person and digital health-care settings has been increasing. The purpose of this article is to describe the protocol of a mixed-methods, natural experiment study designed to evaluate the implementation of DPP in a large, integrated health system. METHODS: Kaiser Permanente Northwest patients who were 19 to 75 years with prediabetes (hemoglobin A1c or glycated hemoglobin, 5.7-6.4) and obesity (body mass index ≥ 30 kg/m2) were invited, via the Kaiser Permanente Northwest patient portal, to participate in the digital (n = 4124) and in-person (n = 2669) DPP during 2016 through 2018. Primary (weight) and secondary (hemoglobin A1c or glycated hemoglobin level) outcome data will be obtained from electronic health records. A cost-effectiveness analysis as well as qualitative interviews with patients (enrolled and not enrolled in the DPP) and stakeholders will be conducted to examine further implementation, acceptability, and sustainability. CONCLUSION: The mixed-methods, natural experiment design we will use to evaluate Kaiser Permanente Northwest's implementation of the digital and in-person DPP builds on existing evidence related to the effectiveness of these two DPP delivery modes and will contribute new knowledge related to best practices for implementing and sustaining the DPP within large health systems over the long term.

Predicting risk of multiple levels of recurrence and progression after initial diagnosis of nonmuscle-invasive bladder cancer in a multisite, community-based cohort.

BACKGROUND: Nonmuscle-invasive bladder cancer (NMIBC) has heterogeneous recurrence and progression outcomes. Available risk calculators estimate recurrence and progression but do not predict the recurrence stage or grade, which may influence downstream treatment. The objective of this study was to predict risk-stratified NMIBC recurrence and progression based on recurrence tumor classification and grade. METHODS: In total, 2956 patients with NMIBC (

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.

Association between metabolic syndrome and recurrence of nonmuscle-invasive bladder cancer in older adults.

BACKGROUND: Nonmuscle-invasive bladder cancer (NMIBC) disproportionately affects older adults who often have coexisting chronic conditions such as metabolic syndrome (MetS). Although prior research suggests that MetS is a risk factor for NMIBC, limited data exists on whether MetS is associated with NMIBC recurrence. Our objective was to evaluate the association between MetS and recurrence in older adults treated for NMIBC. METHODS: We identified 1,485 older (age ≥60 years) NMIBC patients (American Joint Committee on Cancer Stage ≤1) from 2community-based health systems. Using data from the health systems' electronic medical record, MetS was defined as the presence of three of the following: diagnosis codes indicating hypertension, hyperlipidemia, diabetes, or body mass index >30. Follow up time was determined by date of the last follow up in the tumor registry and censored at 10 years. Cox proportional hazards regression of time to recurrence that accounts for the competing risk of death included adjustment for age, sex, smoking status, health system, NMIBC stage/grade, tumor size, and number of specimens with cancer. RESULTS: Overall, 341 patients (23%) met MetS criteria. Median follow up was 5.9 years and 582 patients (39.2%) died. Patients with MetS were more frequently male (84.2%), and mostly current/former smokers (82.6%). By 10 years, 34.1% of the cohort had experienced a recurrence. After accounting for the competing risk of death, there was no association between MetS and time to recurrence (adjusted hazard ratio, 0.88, 95% confidence interval 0.70-1.11, P = 0.28). Patients without MetS had more 0a/low grade recurrences (49.1% vs. 41.4%), though differences were not significant. CONCLUSION: We found no association between MetS and risk of NMIBC recurrence in this large, multisite cohort of older adults with NMIBC. In order to design personalized care for older NMIBC patients, future research is needed to evaluate associations between common chronic conditions and a variety of oncologic outcomes.

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.

External validation of the EORTC and NCCN bladder cancer recurrence and progression risk calculators in a U.S. community-based health system.

OBJECTIVES: To externally validate the European Organization for the Research and Treatment of Cancer (EORTC) risk calculator and National Comprehensive Cancer Network (NCCN) guidelines in a contemporary population of U.S. non-muscle-invasive bladder cancer (NMIBC) patients treated in a community-based setting and compare our findings to those from another U.S. health system. MATERIALS AND METHODS: We identified 1,491 NMIBC patients with a median follow-up of 2.1 years (recurrence) and 4.1 years (progression). We calculated NCCN risk groupings and EORTC prognostic index for recurrence and progression. We followed Royston and Altman's guidelines for the external validation of prognostic calculators. RESULTS: For predicting recurrence using the EORTC framework, Harrell's C (a measure of discrimination) was smaller in our sample (0.66) than in the European Association of Urology sample (0.61), whereas for progression, Harrell's C was larger in our sample (0.78 vs. 0.75). The EORTC calculator overestimated progression risk in the highest stratum for our sample; calibration and discrimination were adequate for all groups except the highest risk group. For NCCN risk groupings, Harrell's C was 0.54 for recurrence and 0.62 for progression, suggesting poor to fair discrimination in our sample. The NCCN framework had slightly better performance for predicting progression vs. recurrence. CONCLUSIONS: Existing NMIBC risk-stratification frameworks have acceptable accuracy to predict outcomes. However, further innovation in NMIBC care will require predictive tools with more granularity to reflect the differential risks of subgroups of NMIBC recurrence, prior treatment histories, and other prognostic variables.

Long-Term Patterns of Oral Anticancer Agent Adoption, Duration, and Switching in Patients With CML.

BACKGROUND: Oral tyrosine kinase inhibitors (TKIs) have been the standard of care for chronic myeloid leukemia (CML) since 2001. However, few studies have evaluated changes in the treatment landscape of CML over time. This study assessed the long-term treatment patterns of oral anticancer therapies among patients with CML. METHODS: This retrospective cohort study included patients newly diagnosed with CML between January 1, 2000, and December 31, 2016, from 10 integrated healthcare systems. The proportion of patients treated with 5 FDA-approved oral TKI agents-bosutinib, dasatinib, imatinib, nilotinib, and ponatinib-in the 12 months after diagnosis were measured, overall and by year, between 2000 and 2017. We assessed the use of each oral agent through the fourth-line setting. Multivariable logistic regression estimated the odds of receiving any oral agent, adjusting for sociodemographic and clinical characteristics. RESULTS: Among 853 patients with CML, 81% received an oral agent between 2000 and 2017. Use of non-oral therapies decreased from 100% in 2000 to 5% in 2005, coinciding with imatinib uptake from 65% in 2001 to 98% in 2005. Approximately 28% of patients switched to a second-line agent, 9% switched to a third-line agent, and 2% switched to a fourth-line agent. Adjusted analysis showed that age at diagnosis, year of diagnosis, and comorbidity burden were statistically significantly associated with odds of receiving an oral agent. CONCLUSIONS: A dramatic shift was seen in CML treatments away from traditional, nonoral chemotherapy toward use of novel oral TKIs between 2000 and 2017. As the costs of oral anticancer agents reach new highs, studies assessing the long-term health and financial outcomes among patients with CML are warranted.

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.

Hospitalization Risk During Chemotherapy for Advanced Cancer: Development and Validation of Risk Stratification Models Using Real-World Data.

PURPOSE: Hospitalizations are a common occurrence during chemotherapy for advanced cancer. Validated risk stratification tools could facilitate proactive approaches for reducing hospitalizations by identifying at-risk patients. PATIENTS AND METHODS: We assembled two retrospective cohorts of patients receiving chemotherapy for advanced nonhematologic cancer; cohorts were drawn from three integrated health plans of the Cancer Research Network. We used these cohorts to develop and validate logistic regression models estimating 30-day hospitalization risk after chemotherapy initiation. The development cohort included patients in two health plans from 2005 to 2013. The validation cohort included patients in a third health plan from 2007 to 2016. Candidate predictor variables were derived from clinical data in institutional data warehouses. Models were validated based on the C-statistic, positive predictive value, and negative predictive value. Positive predictive value and negative predictive value were calculated in reference to a prespecified risk threshold (hospitalization risk ≥ 18.0%). RESULTS: There were 3,606 patients in the development cohort (median age, 63 years) and 634 evaluable patients in the validation cohort (median age, 64 years). Lung cancer was the most common diagnosis in both cohorts (26% and 31%, respectively). The selected risk stratification model included two variables: albumin and sodium. The model C-statistic in the validation cohort was 0.69 (95% CI, 0.62 to 0.75); 39% of patients were classified as high risk according to the prespecified threshold; 30-day hospitalization risk was 24.2% (95% CI, 19.9% to 32.0%) in the high-risk group and 8.7% (95% CI, 6.1% to 12.0%) in the low-risk group. CONCLUSION: A model based on data elements routinely collected during cancer treatment can reliably identify patients at high risk for hospitalization after chemotherapy initiation. Additional research is necessary to determine whether this model can be deployed to prevent chemotherapy-related hospitalizations.

Performance of Cancer Recurrence Algorithms After Coding Scheme Switch From International Classification of Diseases 9th Revision to International Classification of Diseases 10th Revision.

PURPOSE: We previously developed and validated informatic algorithms that used International Classification of Diseases 9th revision (ICD9)-based diagnostic and procedure codes to detect the presence and timing of cancer recurrence (the RECUR Algorithms). In 2015, ICD10 replaced ICD9 as the worldwide coding standard. To understand the impact of this transition, we evaluated the performance of the RECUR Algorithms after incorporating ICD10 codes. METHODS: Using publicly available translation tables along with clinician and other expertise, we updated the algorithms to include ICD10 codes as additional input variables. We evaluated the performance of the algorithms using gold standard recurrence measures associated with a contemporary cohort of patients with stage I to III breast, colorectal, and lung (excluding IIIB) cancer and derived performance measures, including the area under the receiver operating curve, average absolute prediction error, and correct classification rate. These values were compared with the performance measures derived from the validation of the original algorithms. RESULTS: A total of 659 colorectal, 280 lung, and 2,053 breast cancer cases were identified. Area under the receiver operating curve derived from the updated algorithms was 89.0% (95% CI, 82.3% to 95.7%), 88.9% (95% CI, 79.3% to 98.2%), and 80.5% (95% CI, 72.8% to 88.2%) for the colorectal, lung, and breast cancer algorithms, respectively. Average absolute prediction errors for recurrence timing were 2.7 (SE, 11.3%), 2.4 (SE, 10.4%), and 5.6 months (SE, 21.8%), respectively, and timing estimates were within 6 months of actual recurrence for more than 80% of colorectal, more than 90% of lung, and more than 50% of breast cancer cases using the updated algorithm. CONCLUSION: Performance measures derived from the updated and original algorithms had overlapping confidence intervals, suggesting that the ICD9 to ICD10 transition did not affect the RECUR Algorithm performance.