Healthcare costs,treatment patterns,and resource utilization among pancreatic cancer patients in a managed care population

Abstract

Background:

Pancreatic adenocarcinoma has few effective treatment options and poor survival. The objective of this study was to characterize treatment patterns and estimate the costs and resource use associated with its treatment in a commercially-insured US population.

Methods:

In this retrospective claims-based analysis, individuals ≥18 years old with evidence of pancreatic adenocarcinoma between January 1, 2001 and December 31, 2010 were selected from a managed care database. Treatment phase (either initial non-metastatic or metastatic) was determined using a claims-based algorithm. Patients in the pancreatic cancer population were matched 1:3 to a control population. Resource use (events/person-years), treatment patterns, and healthcare costs (per-patient per-month, PPPM) were determined during a variable length follow-up period (from first pancreatic cancer diagnosis to earliest of death, disenrollment, or study end).

Results:

In this study, 5262 pancreatic cancer patients were matched to 15,786 controls. Rates of office visits, inpatient visits, ER visits, and inpatient stays, and mean total all-cause healthcare costs PPPM ($15,480 vs $1001) were significantly higher among cancer patients than controls (all p?<?0.001). Mean inpatient costs were the single largest cost driver ($9917 PPPM). Also, mean total all-cause healthcare costs were significantly higher during the metastatic treatment phase vs the initial treatment phase of non-metastatic disease ($21,637 vs $10,358, p?<?0.001).

Conclusions:

These results indicate that pancreatic cancer imposes a substantial burden on the US healthcare system, and that treatment of more advanced disease is significantly more costly than initial treatment of non-metastatic disease.

Limitations:

Additional research is needed to validate the accuracy of the claims-based algorithms used to identify the treatment phase.     

The economic burden of psoriasis with high comorbidity among privately insured patients in the United States

Objective: To evaluate the impact of comorbidities on healthcare resource use (HRU), and direct and indirect work-loss-related costs in psoriasis patients.

Methods: Adults with psoriasis (≥2 diagnoses, the first designated as the index date) and non-psoriasis controls (no psoriasis diagnoses, randomly generated index date) were identified in a US healthcare claims database of privately-insured patients (data between January 2010 and March 2017 were used). Psoriasis patients were stratified based on the number of psoriasis-related comorbidities (0, 1–2, or ≥3) developed during the 12?months post-index. All outcomes were evaluated during the follow-up period, spanning the index date until the end of continuous health plan eligibility or data cut-off. HRU and costs per-patient-per-year (PPPY) were compared in psoriasis and non-psoriasis patients with ≥12?months of follow-up.

Results: A total of 9,078 psoriasis (mean age?=?44?years, 51% female) and 48,704 non-psoriasis (mean age?=?41?years, 50% female) patients were selected. During the 12?months post-index, among psoriasis vs non-psoriasis patients, 71.0% vs 83.0% developed no psoriasis-related comorbidities, 26.3% vs 16.0% developed 1–2, and 2.6% vs 1.0% developed ≥3 psoriasis-related comorbidities. Compared to non-psoriasis patients, psoriasis patients had more HRU including outpatient visits (incidence rate ratios [IRRs]?=?1.52, 2.03, and 2.66 for 0, 1–2, and ≥3 comorbidities, respectively [all p?p?p?p?Conclusions: HRU and cost burden of psoriasis are substantial, and increase with the development of psoriasis-related comorbidities.     

Healthcare costs of urinary tract infections and genital mycotic infections among patients with type 2 diabetes mellitus initiated on canagliflozin: a retrospective cohort study

Objective: To assess the economic impact of urinary tract infections (UTIs) and genital mycotic infections (GMIs) among patients with type 2 diabetes mellitus (T2DM) initiated on canagliflozin.

Methods: Administrative claims data from April 2013 through June 2014 MarketScan^® databases were extracted. Adults with ≥1 claim for canagliflozin, T2DM diagnosis, and ≥90 days enrollment before and after canagliflozin initiation were propensity score matched to controls with T2DM initiated on other anti-hyperglycemic agents (AHAs). UTI and GMI healthcare costs were evaluated 90-days post-index and reported as cohort means.

Results: Rates of UTI claims 90 days post-index were similar in patients receiving canagliflozin for T2DM (n?=?31,257) and matched controls (2.7% vs 2.8%, p?=?.677). More canagliflozin than control patients had GMI claims (1.2% vs 0.6%, p?p?p?=?.150). GMI treatment costs were higher for the canagliflozin cohort ($3.68 vs $2.44, p?=?.041). Combined costs to treat either UTI and/or GMI averaged $31.29 per patient for the canagliflozin cohort v $39.77 for controls (p?=?.211). Rates and costs of UTIs and GMIs were higher for females than males, but the canagliflozin vs control trends observed for the overall sample were similar for both sexes. There were no significant cost differences between the canagliflozin and control cohorts among patients aged 18–64. Among patients aged 65 and above, GMI treatment costs were not significantly different, but costs to treat UTIs and either UTI and/or GMI were significantly lower for canagliflozin patients vs controls.

Conclusions: In a real-world setting, the costs to payers of treating UTIs and GMIs are generally similar for patients with T2DM initiated on canagliflozin vs other AHAs.     

Comorbidity and economic burden among moderate-to-severe psoriasis and/or psoriatic arthritis patients in the US Department of Defense population

Aims: To examine the comorbidity and economic burden among moderate-to-severe psoriasis (PsO) and/or psoriatic arthritis (PsA) patients in the US Department of Defense (DoD) population.

Materials and methods: This retrospective cohort claims analysis was conducted using DoD data from November 2010 to October 2015. Adult patients with ≥2 diagnoses of PsO and/or PsA (cases) were identified, and the first diagnosis date from November 2011 to October 2014 was defined as the index date. Patients were considered moderate-to-severe if they had ≥1 non-topical systemic therapy or phototherapy during the 12 months pre- or 1 month post-index date. Patients without a PsO/PsA diagnosis during the study period (controls) were matched to cases on a 10:1 ratio based on age, sex, region, and index year; the index date was randomly selected. One-to-one propensity score matching (PSM) was conducted to compare study outcomes in the first year post-index date, including healthcare resource utilization (HRU), costs, and comorbidity incidence.

Results: A total of 7,249 cases and 72,490 controls were identified. The mean age was 48.1 years. After PSM, comorbidity incidence was higher among cases, namely dyslipidemia (18.3% vs 13.5%, p?<?.001), hypertension (13.8% vs 8.7%, p?<?.001), and obesity (8.8% vs 6.1%, p?<?.001). Case patients had significantly higher HRU and costs, including inpatient ($2,196 vs $1,642; p?<?.0016), ambulatory ($8,804 vs 4,642; p?<?.001), emergency room ($432 vs $350; p?<?.001), pharmacy ($6,878 vs $1,160; p?<?.001), and total healthcare costs ($18,311 vs $7,795; p?<?.001).

Limitations: Claims data are collected for payment purposes; therefore, such data may have limitations for clinical research.

Conclusions: During follow-up, DoD patients with moderate-to-severe PsO and/or PsA experienced significantly higher HRU, cost, and comorbidity burden.     

Real-world treatment patterns and healthcare costs among biologic-naive patients initiating apremilast or biologics for the treatment of psoriasis

Objective: This study compared real-world treatment patterns and healthcare costs among biologic-naive psoriasis patients initiating apremilast or biologics.

Methods: A retrospective cohort study was conducted using the Optum Clinformatics? claims database. Patients with psoriasis were selected if they had initiated apremilast or biologics between January 1, 2014, and December 31, 2015; had 12?months of pre-index and post-index continuous enrollment in the database; and were biologic-naive. The index date was defined as the date of the first claim for apremilast or biologic, and occurred between January 1, 2014, and December 31, 2015. Treatment persistence was defined as continuous treatment without a?>?60-day gap in therapy (discontinuation) or a switch to a different psoriasis treatment during the 12-month post-index period. Adherence was defined as a medication possession ratio (MPR) of ≥ 80% while persistent on the index treatment. Persistence-based MPR was defined as the number of days with the medication on hand measured during the patients’ period of treatment persistence divided by the duration of the period of treatment persistence. Because patients were not randomized, apremilast patients were propensity score matched up to 1:2 to biologic patients to adjust for possible selection bias. Treatment persistence/adherence and all-cause healthcare costs were evaluated. Cost differences were determined using Wilcoxon rank-sum tests.

Results: In all, 343 biologic-naive patients initiating apremilast were matched to 680 biologic-naive patients initiating biologics. After matching, patient characteristics were similar between cohorts. Twelve-month treatment persistence was similar for biologic-naive patients initiating apremilast vs biologics (32.1% vs 33.2%; p?=?0.7079). While persistent on therapy up to 12?months, per-patient per-month (PPPM) total healthcare costs were significantly lower among biologic-naive cohorts initiating apremilast vs biologics ($2,214 vs $5,184; p?p?p?p?Limitations: Data were limited to individuals with United Healthcare commercial and Medicare Advantage insurance plans, and may not be generalizable to psoriasis patients with other insurance or without health insurance coverage.

Conclusion: Biologic-naive patients with similar patient characteristics receiving apremilast vs biologics had significantly lower PPPM costs, even when they switched to biologics during the 12-month post-index period. These results may be useful to payers and providers seeking to optimize psoriasis care while reducing healthcare costs.     

Healthcare utilization and costs in patients with tuberous sclerosiscomplex-related renal angiomyolipoma

Objective: To quantify healthcare utilization and costs in patients with tuberous sclerosis complex (TSC) and renal angiomyolipoma (AML) in a matched cohort of patients without TSC or AML.

Methods: Administrative data from the MarketScan Research Databases were used to select patients with TSC and renal AML during January 1, 2000–March 31, 2013 from the Commercial database and January 1, 2000–June 30, 2012 from the Medicaid database. Patients were required to have at least 30 days of follow-up from initiation into the study, and were followed until inpatient death, end of insurance coverage, or the end of study. Age, calendar year, and payer-matched controls that had no TSC and no AML were selected. All-cause annualized healthcare utilization and costs were calculated by service category.

Results: A total of 218 patients under 18 years and 377 patients 18 years and older with TSC-renal AML were selected from the Commercial database, and matched to 654 and 1,131 controls, respectively. Thirty-eight patients under 18 years and 110 patients 18 years or older with TSC-renal AML were selected from the Medicaid database, and matched to 54 and 212 controls, respectively. Within the Commercial cohort, and across both age groups, TSC-renal AML patients utilized more healthcare services than their matched controls. Within the Medicaid cohort, in both age groups, utilization was higher in TSC-renal AML patients vs control patients for inpatient admissions, emergency room visits, physician office visits, and hospital-based outpatient visits. Across age groups and in both the Commercial and Medicaid cohorts, the annual average total costs were significantly higher in TSC-renal AML patients compared to control patients (p?Conclusions: Compared to controls, TSC-renal AML patients incurred substantially higher annual healthcare utilization and costs.     

Medical resource use and costs associated with chylomicronemia

Abstract

Background:

The prevalence of severe hypertriglyceridemia (TG?>?1000?mg/dl) is estimated at 150–400 per 100,000 individuals in North America. Severe hypertriglyceridemia in the fasting state is associated with increased acute pancreatitis risk and is a sign of chylomicronemia which reflects the accumulation in the bloodstream of chylomicrons, the large lipoprotein particles produced in the gut after a meal.

Objective:

To assess medical resource use and costs associated with chylomicronemia.

Methods:

Patients with chylomicronemia of different causes (≥2 diagnoses with ICD-9 code 272.3) were identified from a large US claims database (years 2000 to 2009) and matched 1:1 to controls free of chylomicronemia based on age, gender, demographics, comorbidities, and use of lipid lowering drugs. During a 1-year study period, medical resource use and costs associated with chylomicronemia or acute pancreatitis were compared between matched cases and controls.

Results:

Among 6472 matched pairs, annual per-patient medical costs, calculated independently of the occurrence of acute pancreatitis, were significantly greater by $808 for chylomicronemia cases vs controls ($8029 vs $7220, p?<?0.01), half of which was attributable to chylomicronemia-related services (p?<?0.01). Chylomicronemia cases with a history of acute pancreatitis (n?=?46) had greater rates of inpatient visits (p?<?0.05) and greater average costs for subsequent acute pancreatitis or abdominal pain (p?<?0.01) as well as greater total medical costs ($33,587 vs $4402, p?<?0.01) vs matched controls. The average episode of acute pancreatitis (n?=?104 episodes) generated medical costs of $31,820, almost entirely due to inpatient stays.

Limitations:

Triglyceride levels were not available to characterize disease severity.

Conclusions:

Patients with chylomicronemia, and especially those with a history of acute pancreatitis, incurred significantly greater total medical costs compared with individuals without chylomicronemia but with an otherwise comparable health profile.     

Economic burden of sarcoidosis in a commercially-insured population in the United States

Background: Sarcoidosis is a multi-system inflammatory disorder characterized by the presence of non-caseating granulomas in involved organs. Patients with sarcoidosis have a reduced quality-of-life and are at an increased risk for several comorbidities. Little is known about the direct and indirect cost of sarcoidosis following the initial diagnosis.

Aims: To provide an estimate of the healthcare resource utilization (HCRU) and costs borne by commercial payers for sarcoidosis patients in the US.

Methods: Patients with a first diagnosis of sarcoidosis between January 1, 1998 and March 31, 2015 (“index date”) were selected from a de-identified privately-insured administrative claims database. Sarcoidosis patients were required to have continuous health plan enrollment 12 months prior to and following their index dates. Propensity-score (1:1) matching of sarcoidosis patients with non-sarcoidosis controls was carried out based on a logistic regression of baseline characteristics. Burden of HCRU and work loss (disability days and medically-related absenteeism) were compared between the matched groups over the 12-month period following the index date (“outcome period”).

Results: A total of 7,119 sarcoidosis patients who met the selection criteria were matched with a control. Overall, commercial payers incurred $19,714 in mean total annual healthcare costs per sarcoidosis patient. The principle cost drivers were outpatient visits ($9,050 2015 USD, 46%) and inpatient admissions ($6,398, 32%). Relative to controls, sarcoidosis patients had $5,190 (36%) higher total healthcare costs ($19,714 vs $14,524; p?p?p?Background: Sarcoidosis is a multi-system inflammatory disorder characterized by the presence of non-caseating granulomas in involved organs. Patients with sarcoidosis have a reduced quality-of-life and are at an increased risk for several comorbidities. Little is known about the direct and indirect cost of sarcoidosis following the initial diagnosis.

Aims: To provide an estimate of the healthcare resource utilization (HCRU) and costs borne by commercial payers for sarcoidosis patients in the US.

Methods: Patients with a first diagnosis of sarcoidosis between January 1, 1998 and March 31, 2015 (“index date”) were selected from a de-identified privately-insured administrative claims database. Sarcoidosis patients were required to have continuous health plan enrollment 12 months prior to and following their index dates. Propensity-score (1:1) matching of sarcoidosis patients with non-sarcoidosis controls was carried out based on a logistic regression of baseline characteristics. Burden of HCRU and work loss (disability days and medically-related absenteeism) were compared between the matched groups over the 12-month period following the index date (“outcome period”).

Results: A total of 7,119 sarcoidosis patients who met the selection criteria were matched with a control. Overall, commercial payers incurred $19,714 in mean total annual healthcare costs per sarcoidosis patient. The principle cost drivers were outpatient visits ($9,050 2015 USD, 46%) and inpatient admissions ($6,398, 32%). Relative to controls, sarcoidosis patients had $5,190 (36%) higher total healthcare costs ($19,714 vs $14,524; p?<?0.001). Sarcoidosis patients also had significantly more work loss days (15.9 vs 11.3; p?<?0.001) and work loss costs ($3,288 vs $2,527; p?<?0.001) than matched controls. Sarcoidosis imposes an estimated total direct medical cost of $1.3–$8.7 billion to commercial payers, and an indirect cost of $0.2–$1.5 billion to commercial payers in work loss.

Conclusions: Sarcoidosis imposes a significant economic burden to payers in the first year following diagnosis.     

Healthcare resource utilization and costs by age and joint location among osteoarthritis patients in a privately insured population

Aims: To compare healthcare resource utilization and costs between patients aged 18–64 years with osteoarthritis (OA) and matched controls without OA in a privately insured population.

Methods: Patients with OA were selected from de-identified US-based employer claims (Q1:1999–Q3:2011). The index date was defined as the first OA diagnosis indicated by ICD-9-CM codes. One year before and after the index date were defined as the baseline and study periods, respectively. A second OA diagnosis during the study period was also required. Patients with OA were matched one-to-one on age, gender, index date, and minimum length of follow-up to controls without OA. Baseline characteristics and study period resource utilization and costs (2016 USD) were compared between cohorts.

Results: This study identified 199,539 patients with OA (knee: 87,271, hip: 19,953, hand: 15,670, spine: 12,496). The average age was 54 years, and 58% were female. OA patients had higher healthcare resource utilization than matched controls in inpatient, emergency room, and outpatient settings (p?p?Limitations: This sample, obtained using claims data, only includes patients who were actively seeking care for OA and were likely symptomatic. Asymptomatic patients would likely not be captured in this analysis.

Conclusions: Patients with OA incur greater healthcare resource utilization and costs than patients without OA, with substantial variation by joint location.     

Retrospective database study to assess the economic impact of hip fracture in the United Kingdom

Objective:

Publications containing recent, real-world data on the economic impact of hip fractures in the UK are lacking. This retrospective electronic medical records database analysis assessed medication and healthcare resource use, direct healthcare costs, and factors predicting increased resource use and costs in adult UK hip fracture patients.

Methods:

Data were obtained from the Clinical Practice Research Datalink linked to the Hospital Episode Statistics for adult patients hospitalized for their first hip fracture between January 1, 2006 and March 31, 2011 (index event); healthcare costs were calculated from the National Health Service perspective using 2011–2012 cost data.

Results:

Data from 8028 patients were analyzed. Resource use and costs were statistically significantly higher in the year following fracture (mean total [standard deviation (SD)] cost £7359 [£14,937]) compared with the year before fracture (mean total [SD] cost £3122 [£9435]; p?Conclusions:

Although we did not capture all pre- and post-index costs and healthcare utilization, this study provides important insights regarding the characteristics of patients with hip fracture, and information that will be useful in burden-of-illness and economic analyses.     

Healthcare costs of stroke and major bleeding in patients with atrial fibrillation treated with non-vitamin K antagonist oral anticoagulants

Objective: To assess long-term healthcare costs related to ischemic stroke and systemic embolism (stroke/SE) and major bleeding (MB) events in patients with non-valvular atrial fibrillation (NVAF) treated with non-vitamin K antagonist oral anticoagulants (NOACs).

Materials and methods: Optum’s Clinformatics Data Mart database from 1/2009–12/2016 was analyzed. Adult patients with ≥1 stroke/SE hospitalization (index date) were matched 1:1 to patients without stroke/SE (random index date), based on propensity scores. Patients with an MB event were matched to patients without MB. All patients had an NOAC dispensing overlapping index date, ≥12?months of eligibility pre-index date, and ≥1 NVAF diagnosis. The observation period spanned from the index date until the earliest date of death, switch to warfarin, end of insurance coverage, or end of data availability. Mean costs were evaluated: (1) per-patient-per-year (PPPY) and (2) at 1, 2, 3, and 4?years using Lin's method.

Results: The cost differences were, respectively, $48,807 and $28,298 PPPY for NOAC users with stroke/SE (n?=?1,340) and those with MB (n?=?3,774) events compared to controls. Cost differences of patients with vs without stroke/SE were $49,876, $51,627, $57,822, and $60,691 at 1, 2, 3, and 4?years post-index, respectively (p?p?Limitations: Limitations include unobserved confounders, coding and/or billing inaccuracies, limited sample sizes over longer follow-up, and the under-reporting of mortality for deaths occurring after 2011.

Conclusions: The incremental healthcare costs incurred by patients with vs without stroke/SE was nearly twice as high as those of patients with vs without MB. Moreover, each additional year up to 4?years after the first event was associated with an incremental cost for patients with a stroke/SE or MB event compared to those without an event.