Administrative Claims Data for Economic Analyses in Hematopoietic Cell Transplantation: Challenges and Opportunities

Health Care Utilization and Costs in Systemic Therapies for Metastatic Melanoma from 2016 to 2020

BACKGROUND

Widespread implementation of immune checkpoint inhibitors (ICI) and targeted therapies for metastatic melanoma has led to a decline in melanoma-related mortality but increased healthcare costs. We aimed to determine how healthcare utilization varied by systemic, non-adjuvant melanoma treatment from 2016 to 2020.

PATIENTS AND METHODS

Adults with presumed stage IV metastatic melanoma receiving systemic therapy from 2016 to 2020 were identified in Optum, a nationwide commercial claims database. Treatment groups were nivolumab, pembrolizumab, ipilimumab+nivolumab (combination-ICI), or BRAF+MEK inhibitor (BRAFi+MEKi) therapy. Outcomes included hospitalizations, days hospitalized, emergency room (ER) visits, outpatient visits, and healthcare costs per patient per month (pppm). Multivariable regression models were used to analyze whether cost and utilization outcomes varied by treatment group, with nivolumab as reference.

RESULTS

Among 2018 adult patients with metastatic melanoma identified, mean (SD) age was 67 (15) years. From 2016 to 2020, nivolumab surpassed pembrolizumab as the most prescribed systemic melanoma therapy while combination-ICI and BRAFi+MEKi therapies remained stable. Relative to nivolumab, all other therapies were associated with increased total healthcare costs (combination-ICI: β = $47 600 pppm, 95%CI $42 200-$53 100; BRAFi+MEKi: β = $3810, 95%CI $365-$7260; pembrolizumab: β = $6450, 95%CI $4420-$8480). Combination-ICI and BRAFi+MEKi therapies were associated with more inpatient hospital days.

CONCLUSIONS

Amid the evolving landscape of systemic therapy for advanced melanoma, nivolumab monotherapy emerged as the most used and least costly systemic treatment from 2016 to 2020. Its sharp increase in use in 2018 and lower costs relative to pembrolizumab may in part be due to earlier adoption of less frequent dosing intervals.

Trends in Allogeneic Hematopoietic Cell Transplantation Utilization and Estimated Unmet Need Among Medicare Beneficiaries with Acute Myelogenous Leukemia

Allogeneic hematopoietic cell transplantation (alloHCT) is a resource-intensive procedure and the sole potentially curative treatment available for patients with acute myelogenous leukemia (AML). Although Medicare coverage may help address a major financial barrier to accessing alloHCT, there remains an unmet need for alloHCT owing to sociodemographic disparities. This study examined trends and factors associated with the utilization of alloHCT and the estimated unmet need for alloHCT among Medicare beneficiaries with AML. This retrospective cohort study included patients (age 65 to 74 years) with a diagnosis of AML identified in Medicare claims data from 2010 through 2016. To study trends in utilization, transplantation rates were calculated as the number of patients who underwent alloHCT within 180 days and 1 year of diagnosis (numerator) divided by the total number of patients with AML within each diagnosis year (denominator). A multivariable logistic regression was used to identify factors associated with the likelihood of undergoing alloHCT within 1 year of diagnosis. Two approaches were applied to estimate the unmet need for alloHCT. The first approach used claims data to identify the potential need for alloHCT among patients who achieved complete remission for at least 90 days. The second approach used established National Marrow Donor Program (NMDP) methodology, which considers estimates of risk level, response to treatment, comorbidity, and early mortality, to identify the potential and unmet need for alloHCT. The overall estimated need and unmet need from 2010 to 2015 and over different time periods were evaluated for both approaches. The alloHCT rate within 180 days of diagnosis increased from 8% in 2010 to 15.8% in 2016 (P < .001), and the 1-year alloHCT rate also increased over time, from 11.9% in 2010 to 20.0% in 2015 (P < .001). The likelihood of undergoing alloHCT within 1 year of diagnosis was associated with diagnosis year, age, race, geographic region, Elixhauser Comorbidity Index, and population-level median household income. Between 2010 and 2015, the claims data approach estimated a lower potential need for alloHCT compared with the NMDP methodology estimate (27% versus 36%); both approaches estimated that 43% to 44% of patients with a potential need for alloHCT had an unmet treatment need. Despite the differences in estimated potential need between the 2 approaches, both showed a sustained unmet need but with a downward trend over time. Our data show that utilization of alloHCT has increased over time among Medicare beneficiaries with AML. Two approaches of need analysis were conducted for validation of estimated need and unmet need for alloHCT using claim-identified remission status, given the lack of cytogenetics and molecular information in claims data. Both approaches to estimating the unmet need for alloHCT found a downward trend over time; however, there are differences in utilization of alloHCT by age, race, geographic region, comorbidity, and socioeconomic status, indicating disparities in access to alloHCT among Medicare beneficiaries with AML. This suggests the need for policy efforts, research, and continued education to improve access to alloHCT and to close the gap between the actual utilization of alloHCT and the unmet need.

Enhancing Administrative Claims Data: Feasibility, Validation and Application of Linking Medicare Claims Data and National Marrow Donor Program Search Data

PURPOSE

Administrative claims data provide real-world service utilization of acute myeloid leukemia (AML) treatment, but lacks insight into treatment delays or barriers. The National Marrow Donor Program (NMDP)/Be The Match Search (Search) data contains information on donor search, but lacks information on treatment received if allogeneic hematopoietic cell transplant (HCT) is not performed. We hypothesized that linking these two data sets would create a rich resource to define factors associated with receiving HCT that could not be evaluated with either data set alone.

METHODS

A subset of 2010-2016 Medicare administrative claims data was linked with Search data. A total of 5,351 patients with AML age 65-74 years (HCT = 607, no HCT = 4,744) were identified using Medicare. These patients were then linked to 93,800 records with a donor search between 2009 and 2016. Patient date of birth, sex, disease, ZIP code, transplant center/hospital, and diagnosis date were used for matching. Exploratory analysis was conducted to identify predictors associated with receiving HCT for patients with AML who received a search.

RESULTS

The data sets were successfully linked, showing high sensitivity and specificity. The final cohort included 5,085 patients with AML (HCT = 533, no HCT = 4,552). Of 97 patients who received HCT without a matched search, more than 85% received a related donor HCT. Of those not receiving HCT, 609 had a matched NMDP search and 3,943 did not have a matched NMDP search. Multivariate analysis showed time to search, age, diagnosis year, race/ethnicity, and neighborhood education status associated with receiving HCT.

CONCLUSION

Methods herein demonstrate the feasibility of linking Search and Medicare data. Similar methods may be applied to answer critical questions regarding barriers to HCT, thereby identifying areas to improve access to care.

Usability of German hospital administrative claims data for healthcare research: General assessment and use case of multiple myeloma in Munich university hospital in 2015–2017

Objectives

To assess the usability of German hospital administrative claims data (GHACD) to determine inpatient management patterns, healthcare resource utilization, and quality-of-care in patients with multiple myeloma (PwMM).

Methods

Based on German tertiary hospital’s claims data (2015–2017), PwMM aged >18 years were included if they had an International Classification of Diseases, Tenth Revision, code of C90.0 or received anti-MM therapy. Subgroup analysis was performed on stem cell transplantation (SCT) patients.

Results

Of 230 PwMM, 59.1% were men; 56.1% were aged ≥65 years. Hypertension and infections were present in 50% and 67.0%, respectively. Seventy percent of PwMM received combination therapy. Innovative drugs such as bortezomib and lenalidomide were given to 36.1% and 10.9% of the patients, respectively. Mean number of admissions and mean hospitalization length/patient were 3.69 (standard deviation (SD) 2.71 (1–16)) and 12.52 (SD 9.55 (1–68.5)) days, respectively. In-hospital mortality was recorded in 12.2%. Seventy-two percent of SCT patients (n = 88) were aged ≤65 years, 22.7% required second transplantation, and 89.8% received platelet transfusion at a mean of 1.42(SD 0.63 (1–3)).

Conclusion

GHACD provided relevant information essential for healthcare studies about PwMM from routine care settings. Data fundamental for quality-of-care assessment were also captured.

Identifying relapses and stem cell transplants in pediatric acute lymphoblastic leukemia using administrative data: Capturing national outcomes irrespective of trial enrollment

INTRODUCTION

Our objectives were to design and validate methods to identify relapse and hematopoietic stem cell transplantation (HSCT) in children with acute lymphoblastic leukemia (ALL) using administrative data representing hospitalizations at US pediatric institutions.

METHODS

We developed daily billing and ICD-9 code definitions to identify relapses and HSCTs within a cohort of children with newly diagnosed ALL between January 1, 2004, and December 31, 2013, previously assembled from the Pediatric Health Information System (PHIS) database. Chart review for children with ALL at the Children's Hospital of Philadelphia (CHOP) and Texas Children's Hospital (TCH) was performed to establish relapse and HSCT gold standards for sensitivity and positive predictive value (PPV) calculations. We estimated incidences of relapse and HSCT in the PHIS ALL cohort.

RESULTS

We identified 362 CHOP and 314 TCH ALL patients in PHIS and established true positives by chart review. Sensitivity and PPV for identifying both relapse and HSCT in PHIS were > 90% at both hospitals. Five-year relapse incidence in the 10 150-patient PHIS cohort was 10.3% (95% CI 9.8%-10.9%) with 7.1% (6.6%-7.6%) of children underwent HSCTs. Patients in higher-risk demographic groups had higher relapse and HSCT rates. Our analysis also identified differences in incidences of relapse and HSCT by race, ethnicity, and insurance status.

CONCLUSIONS

Administrative data can be used to identify relapse and HSCT accurately in children with ALL whether they occur on- or off-therapy, in contrast with published approaches. This method has wide potential applicability for estimating these incidences in pediatric ALL, including patients not enrolled on clinical trials.

Association Between Filgrastim Biosimilar Availability and Changes in Claim Payments and Patient Out-of-Pocket Costs for Biologic Filgrastim Products

OBJECTIVES

To estimate the effect of filgrastim-sndz market entry on patient out-of-pocket costs and claim payments for filgrastim products.

METHODS

This study used a single interrupted time series design with longitudinal, nationally representative, individual-level claims data from IBM MarketScan. Analyses included all outpatient and prescription claims for branded filgrastim (filgrastim and tbo-filgrastim) and biosimilar filgrastim (filgrastim-sndz) from January 1, 2014, to December 31, 2017. Outcomes of interest included changes in monthly claim payments and monthly patient out-of-pocket costs for filgrastim products.

RESULTS

In the baseline period (January 2014 to February 2016), insurers paid an average of $472.21 (95% confidence interval [CI]: 465.38-479.03) for 480 mcg of branded filgrastim, whereas patients paid an average of $49.26 (CI: 34.25-64.27). Filgrastim-sndz market entry was associated with a statistically significant and immediate 1-month decrease in insurer payment of $30.77 (95% CI: -40.59 to -20.94) and a significant decrease in monthly insurer payment trend of $3.10 per month (95% CI: -3.90 to -2.31) relative to baseline. Long-term changes in patient out-of-pocket costs were modest and restricted to beneficiaries enrolled in high cost sharing plans.

CONCLUSIONS

Biosimilar filgrastim availability led to significant immediate and long-term decreases in claims payments for filgrastim products, supporting efforts to facilitate biosimilar adoption in the United States. Nevertheless, there were only slight changes in patient out-of-pocket costs, restricted to beneficiaries enrolled in high cost sharing plans, suggesting the importance of further work assessing the relationship between biosimilar availability and patient out-of-pocket costs.

Prevalence and effects of suicidal ideation diagnosis code position in claims on readmission rate estimates

BACKGROUND

Suicidal ideation (SI) is a major health concern in children, adolescents, and young adults (CAYA) population. Inaccurate estimates of SI-related hospital readmission rates may contribute to inappropriate allocation of resources for the prevention of future readmissions. The estimation of these readmission rates using claims data may be sensitive to the diagnosis code position used to establish analytic cohorts.

OBJECTIVE

To examine the prevalence and effects of SI diagnosis code position in claims on 30-day readmission rates using the Nationwide Readmissions Database (NRD).

METHODS

This was a cross-sectional study using the NRD (2010-2015). We established six cohorts of hospitalized CAYA (5-24 years old) with a diagnosis of SI based on different combinations of SI diagnosis code (ICD-9 code V62.84) positions in claims. Thirty-day hospital readmission rates following an index SI discharge were estimated for each cohort. We tested the null hypothesis that hospital readmission rates following an index SI discharge are not sensitive to diagnosis code positions using a test for equality of proportions between the predefined SI cohorts.

RESULTS

The prevalence of SI diagnosis codes increased yearly from 2.9% in 2010 to 5.8% in 2015. SI hospital readmission rates ranged from 0 to 41.1 per 1000 index events based on cohort definitions (i.e. diagnosis code positions). We rejected the null hypothesis that SI-related readmission rates are not sensitive to diagnosis code positions.

CONCLUSION

SI-related readmission rate estimates are sensitive to SI diagnosis code positions. Determining appropriate diagnostic positions can further improve readmission analyses for SI and its applications in healthcare policies.

Healthcare Costs of Treating Privately Insured Patients with Acute Myeloid Leukemia in the United States from 2004 to 2014: A Generalized Additive Modeling Approach

OBJECTIVES

The primary objective of this study was to predict healthcare cost trajectories for patients with newly diagnosed acute myeloid leukemia (AML) receiving allogeneic hematopoietic cell transplantation (alloHCT), as a function of days since chemotherapy initiation, days relative to alloHCT, and days before death or last date of insurance eligibility (LDE). An exploratory objective examined patients with AML receiving chemotherapy only.

METHODS

We used Optum's de-identified Clinformatics^® Data Mart Database to construct cumulative cost trajectories from chemotherapy initiation to death or LDE (through 31 December 2014) for US patients aged 20-74 years diagnosed between 1 March 2004 and 31 December 2013 (n = 187 alloHCT; n = 253 chemotherapy only). We used generalized additive modeling (GAM) to predict expected trajectories and bootstrapped confidence intervals (CIs) at user-specified intervals conditional on dates of alloHCT and death or LDE relative to chemotherapy initiation.

RESULTS

Expected costs (in 2017 values) for a hypothetical patient receiving alloHCT 60 days after chemotherapy initiation and followed for 5 years were $US572,000 (95% CI 517,000-633,000); $US119,000 (95% CI 51,000-192,000); $US102,000 (95% CI 0-285,000); $US79,000 (95% CI 0-233,000), for years 1-4, respectively, and either $US494,000 (95% CI 212,000-799,000) or $US108,000 (95% CI 0-230,000) in year 5, whether the patient died or was lost to follow-up on day 1825, respectively.

CONCLUSIONS

Rates of cost accrual varied over time since chemotherapy initiation, with accelerations around the time of alloHCT and death. GAM is a potentially useful approach for imputing longitudinal costs relative to treatment initiation and one or more intercurrent, clinical, or terminal events in randomized controlled trials or registries with unrecorded costs or for dynamic decision-analytic models.

Clinical trajectories, healthcare resource use, and costs of long-term hematopoietic stem cell transplantation survivors: a latent class analysis

PURPOSE

To identify patterns of healthcare utilization in allogeneic and autologous hematopoietic stem cell transplantation (HSCT) recipients and evaluate factors associated with high-need and high-cost post-transplantation care.

METHODS

Latent class analysis of a retrospective cohort of long-term allogeneic (n = 436) and autologous (n = 888) HSCT survivors within the Truven MarketScan database (2009-2014). We assessed factors associated with the latent classes by comparing post-transplantation healthcare utilization including inpatient admissions and length of stay, emergency room visits, specialist visits, and primary care provider visits.

RESULTS

Four utilization classes were identified in allogeneic and autologous HSCT recipients: (i) outpatient specialist care dominant (51.8% and 57.3%), (ii) outpatient primary care dominant (10.3% and 25.7%), (iii) outpatient/inpatient balanced (20.6% and 13.5%), and (iv) inpatient dominant (17.2% and 3.5%). Mean monthly healthcare expenditures in the inpatient dominant utilization class were $41,097 and $25,556 for allogeneic and autologous survivors, respectively, which were two to five times higher compared with other classes during the 2-year post-transplantation period. Factors associated with the high utilization class were transfusion (OR = 1.87, 95% CI 1.06-3.30) and 100-day post-transplant graft-versus-host-disease (OR = 1.76, 95% CI 1.05-2.94) in allogeneic HSCT; higher baseline Charlson comorbidity index (OR = 1.45, 95% CI 1.19-1.76) in autologous HSCT.

CONCLUSION

Based on distinct patterns of healthcare utilization following HSCT, we identified factors associated with higher resource utilization and greater healthcare related expenditures.

IMPLICATIONS FOR CANCER SURVIVORS

Earlier identification of high-cost and high-need HSCT long-term survivors could pave the way for clinicians to offer more continuous engagement in survivorship care delivery.

Impact of cytomegalovirus complications on resource utilization and costs following hematopoietic stem cell transplant

Objective: The impact of cytomegalovirus (CMV) infection on healthcare resource utilization (HCRU) and costs post-allogeneic hematopoietic stem cell transplant (allo-HSCT) has not been well studied in the US. This retrospective, observational cohort study examined such outcomes in the first year following allo-HSCT.Methods: The IBM MarketScan administrative claims database was used to identify adults who underwent a first allo-HSCT between 1 January 2010 and 30 April 2015. Patients were required to have continuous medical and pharmacy enrollment for ≥12 months before and after the allo-HSCT. HCRU and medical costs (2016 US$) were compared by the presence or absence of CMV infection over 1-year follow-up.Results: A total of 1825 adults met the inclusion criteria (57.5% male; mean age 50.8 years). During the follow-up period, 410 (22.5%) patients had a CMV-related claim. Patients with CMV infection were significantly more likely to have a 60-day-(31.2 vs. 19.4%), 100-day-(50.0 vs. 30.5%) or 365-day readmission (78.0 vs. 57.8%) compared to those without a CMV-related event (all p < .001). During follow-up, patients with CMV infection had significantly greater mean total costs, reflecting higher inpatient costs ($677,240 vs. $462,562), outpatient costs ($141,366 vs. $94,312) and prescription drug costs ($27,391 vs. $22,082) (all p < .001). Valganciclovir (59.8%) and ganciclovir (33.7%) were the most commonly utilized anti-viral agents in patients with CMV.Conclusions: CMV infection was associated with significantly higher healthcare resource utilization and costs during the first year post-allo-HSCT. Additional research is warranted to further evaluate the consequences of post-HSCT CMV infection, as well as cost-effective measures to minimize its occurrence.

Comparison Of Methods To Estimate Disease-Related Cost And Healthcare Resource Utilization For Autoimmune Diseases In Administrative Claims Databases

Background

Establishing disease-related cost and/or healthcare resource utilization (HCRU) is an important aspect of health outcomes research, particularly when considering the cost offset of novel treatments. However, few studies have compared methodologies used to assess disease-related cost/HCRU.

Methods

Data from the United States IBM^® MarketScan^® Research Databases were used to compare four different methods of calculating disease-related cost and HCRU in patients with rheumatoid arthritis (RA). The analysis was repeated, in part, for patients with ulcerative colitis (UC) to explore the generalizability of findings to a second autoimmune disease. Four methods of disease-related cost/HCRU attribution were selected following a literature search for potential methods: Method 1, claim-wide cost/HCRU attribution based on claim-listed diagnosis codes and a predetermined disease-related medication list (pharmacy claims only); Method 2, line-item cost/HCRU attribution based on procedures/medications more likely to occur in disease cases than in matched controls at two likelihood ratio cutoffs (1.5× and 3.5×); Method 3, disease-related cost/HCRU calculated as the difference in total average cost/HCRU between cases and matched controls; Method 4, line-item cost/HCRU attribution based on clinician manual determination of procedures/medications related to the disease.

Results and conclusion

Overall, 24,373 patients with RA and 9665 with UC were included. Average total cost during 2015 was $US28,750 per patient with RA and $US20,480 per patient with UC. Disease-related cost and HCRU for RA calculated using Method 4 were most closely approximated by Methods 1 and 2 (3.5×), with Method 2 (3.5×) the closest approximation. However, in certain research scenarios, the simplest method compared in this analysis, Method 1, may provide an adequate approximation of disease-related cost and HCRU. Although Method 4 was not executed in the UC analysis because of its labor-intensive nature, similar patterns of disease-related cost and HCRU were observed for Methods 1–3 in patients with UC and RA.

Reimbursement, Utilization, and 1-Year Survival Post-Allogeneic Transplantation for Medicare Beneficiaries With Acute Myeloid Leukemia

Background

The economics of allogeneic hematopoietic cell transplantation (alloHCT) for older patients with acute myeloid leukemia (AML) affects clinical practice and public policy. To assess reimbursement, utilization, and overall survival (OS) up to 1 year post-alloHCT for Medicare beneficiaries aged 65 years or older with AML, a unique merged dataset of Medicare claims and national alloHCT registry data was analyzed.

Methods

Patients diagnosed with AML undergoing alloHCT from 2010 to 2011 were included for a retrospective cohort analysis with generalized linear model adjustment. One-year post-alloHCT reimbursement included Medicare, secondary payer, and beneficiary copayments (no coinsurance) (inflation adjusted to 2017 dollars). Cost-to-charge ratios were applied to estimate department-specific inpatient costs. Cox proportional hazards regression models were utilized to identify risk factors of 1-year OS post-alloHCT.

Results

A total of 250 patients met inclusion criteria. Mean total reimbursement was $230 815 (95% confidence interval [CI] = $214 381 to $247 249) 1 year after alloHCT. Pharmacy was the most- costly inpatient service category. Adjusted mean total reimbursement was statistically higher for patients who received cord blood grafts (P = .01), myeloablative conditioning (P < .0001), and alloHCT in the Northeast and West (P = .03). Mortality increased with age (hazard ratio [HR] = 1.08, 95% CI = 1.0 to 1.17), poorer Karnofsky performance score (<90% vs ≥90%, HR = 1.60, 95% CI = 1.08 to 2.35), and receipt of myeloablative conditioning (HR = 1.88, 95% CI = 1.21 to 2.92).

Conclusions

This merged dataset allowed adjustment for a richer set of patient- and HCT-related characteristics than claims data alone. The finding that nonmyeloablative conditioning was associated with lower reimbursement and improved OS 1 year post-alloHCT warrants further investigation.

Data Challenges With Real-Time Safety Event Detection And Clinical Decision Support

BACKGROUND

The continued digitization and maturation of health care information technology has made access to real-time data easier and feasible for more health care organizations. With this increased availability, the promise of using data to algorithmically detect health care-related events in real-time has become more of a reality. However, as more researchers and clinicians utilize real-time data delivery capabilities, it has become apparent that simply gaining access to the data is not a panacea, and some unique data challenges have emerged to the forefront in the process.

OBJECTIVE

The aim of this viewpoint was to highlight some of the challenges that are germane to real-time processing of health care system-generated data and the accurate interpretation of the results.

METHODS

Distinct challenges related to the use and processing of real-time data for safety event detection were compiled and reported by several informatics and clinical experts at a quaternary pediatric academic institution. The challenges were collated from the experiences of the researchers implementing real-time event detection on more than half a dozen distinct projects. The challenges have been presented in a challenge category-specific challenge-example format.

RESULTS

In total, 8 major types of challenge categories were reported, with 13 specific challenges and 9 specific examples detailed to provide a context for the challenges. The examples reported are anchored to a specific project using medication order, medication administration record, and smart infusion pump data to detect discrepancies and errors between the 3 datasets.

CONCLUSIONS

The use of real-time data to drive safety event detection and clinical decision support is extremely powerful, but it presents its own set of challenges that include data quality and technical complexity. These challenges must be recognized and accommodated for if the full promise of accurate, real-time safety event clinical decision support is to be realized.

Value-Based Care in Hematopoietic Cell Transplantation and Cellular Therapy: Challenges and Opportunities

PURPOSE OF REVIEW

Improved tolerability and outcomes after hematopoietic cell transplantation (HCT), along with the availability of alternative donors, have expanded its use. With this growth, and the development of additional cellular therapies, we also aim to increase effectiveness, efficiency, and the quality of the care provided. Fundamentally, the goal of value-based care is to have better health outcomes with streamlined processes, improved patient experience, and lower costs for both the patients and the health care system. HCT and cellular therapy treatments are multiphase treatments which allow for interventions at each juncture.

RECENT FINDINGS

We present a summary of the current literature with focus on program structure and overall system capacity, coordination of therapy across providers, standardization across institutions, diversity and disparities in care, patient quality of life, and cost implications. Each of these topics provides challenges and opportunities to improve value-based care for HCT and cellular therapy patients.

Earlier Pediatric Psychology Consultation Predicts Lower Stem Cell Transplantation Hospital Costs

Objective

The purpose of this study was to examine the hypothesis that earlier time to psychology consultation would predict lower costs for the initial stem cell transplant (SCT) hospitalization among patients receiving care at a children's hospital.

Methods

A retrospective medical record review identified 75 patients (ages 0-32 years) with one or more visits by a licensed clinical psychologist during the initial SCT hospitalization from 2010 to 2014. Demographic and clinical variables were obtained from the electronic medical record and hospitalization costs were obtained from patient billing records. A generalized linear model with a gamma distribution and log link function was used to estimate the relationship between time to psychology consultation and cost for the initial SCT hospitalization while controlling for demographic, clinical, and utilization factors.

Results

After controlling for age at SCT, gender, race, insurance status, diagnosis, SCT type, length of stay, and number of psychology visits, earlier time to psychology consultation predicted lower costs for the initial SCT hospitalization (χ2 = 6.83, p = .01). When the effects of covariates were held constant, every day increase in the time to psychology consultation was associated with a 0.3% increase in SCT hospitalization costs (β = 0.003, SE = 0.001).

Conclusions

Results suggest that facilitating consultations with a pediatric psychologist early in the initial SCT hospitalization may reduce costs for patients undergoing SCT at children's hospitals. Future research is needed to determine the optimal timing of psychology consultation and quantify the economic impact of psychological services.

Real-World Economic Burden Associated with Transplantation-Related Complications

Approximately 20,000 hematopoietic cell transplantation (HCT) procedures are performed annually in the United States. Real-world data on the costs associated with post-transplantation complications are limited. Patients with hematologic malignancies aged ≥18 years undergoing autologous HCT (auto-HCT) or allogeneic HCT (allo-HCT) between January 1, 2011, and June 30, 2014, were identified in the Truven Health MarketScan Research Databases. Patients were required to have 12 months of continuous medical and pharmacy enrollment before and after HCT; patients who experience inpatient death within 12 months post-HCT were also included. Patients with previous HCT were excluded. Potential HCT-related complications were identified if they had a medical claim with a diagnosis code for relapse; infection; cardiovascular, renal, neurologic, pulmonary, hepatic, or gastrointestinal disease; secondary malignancy; thrombotic microangiopathy; or posterior reversible encephalopathy syndrome within 1 year post-HCT. Healthcare costs attributable to these complications were evaluated by comparing total costs in HCT recipients with complications and those without complications. The MarketScan Research Databases were further linked to the Social Security Administration's Master Death File to obtain patient death events in a subset of patients. A total of 2672 HCT recipients were included in the analysis. The mean ± SD age of recipients was 54.5 ± 11.6 years, and the majority of recipients (63.6%) underwent auto-HCT. Complications were identified in 81% of auto-HCT recipients and in 95.5% of allo-HCT recipients. Most complications occurred within 180 days post-HCT. Compared with Auto-HCT recipients without complications, those with complications incurred $51,475 higher adjusted total costs (P < .01). Compared with allo-HCT recipients without complications, those with complications incurred $181,473 higher adjusted total costs (P < .01). Among the patients with mortality data, auto-HCT recipients with complications had a higher mortality rate (13.4% vs 5.7%, P < .01) and a lower probability of survival (P < .01) compared with those without complications. In allo-HCT recipients, however, the mortality rate and probability of survival were not significantly different between those with complications and those without complications. HCT recipients with complications were associated with considerable economic burden in terms of direct healthcare costs in a commercially insured population, and in the case of auto-HCT, a higher mortality rate was observed in those with complications.

Healthcare Costs and Utilization for Patients Age 50 to 64 Years with Acute Myeloid Leukemia Treated with Chemotherapy or with Chemotherapy and Allogeneic Hematopoietic Cell Transplantation

The primary aim of this study was to describe healthcare costs and utilization during the first year after a diagnosis of acute myeloid leukemia (AML) for privately insured non-Medicare patients in the United States aged 50 to 64 years who were treated with either chemotherapy or chemotherapy and allogeneic hematopoietic cell transplantation (alloHCT). MarketScan (Truven Health Analytics) adjudicated total payments for inpatient, outpatient, and prescription drug claims from 2007 to 2011 were used to estimate costs from the health system perspective. Stabilized inverse propensity score weights were constructed using logistic regression to account for differential selection of alloHCT over chemotherapy. Weighted generalized linear models adjusted costs and utilization (hospitalizations, inpatient days, and outpatient visit-days) for differences in age, sex, diagnosis year, region, insurance plan type, Elixhauser Comorbidity Index), and 60-day prediagnosis costs. Because mortality data were not available, models could not be adjusted for survival times. Among 29,915 patients with a primary diagnosis of AML, 985 patients met inclusion criteria (774 [79%] receiving chemotherapy alone and 211 [21%] alloHCT). Adjusted mean 1-year costs were $280,788 for chemotherapy and $544,178 for alloHCT. Patients receiving chemotherapy alone had a mean of 4 hospitalizations, 52.9 inpatient days, and 52.4 outpatient visits in the year after AML diagnosis; patients receiving alloHCT had 5 hospitalizations, 92.5 inpatient days, and 74.5 outpatient visits. Treating AML in the first year after diagnosis incurs substantial healthcare costs and utilization with chemotherapy alone and with alloHCT. Our analysis informs healthcare providers, policymakers, and payers so they can better understand treatment costs and utilization for privately insured patients aged 50 to 64 with AML.