Clinical characteristics,pharmacotherapy, and healthcare resource use among patients with fibromyalgia newly prescribed pregabalin or tricyclic antidepressants

Abstract

Objective:

To examine treatment patterns and costs among patients with fibromyalgia prescribed pregabalin or tricyclic antidepressants (TCAs).

Methods:

Using the LifeLink? Health Plan Claims Database, patients with fibromyalgia (International Classification of Diseases, Ninth Revision, Clinical Modification code 729.1X) newly prescribed (index date) TCAs (n?=?898) were identified and propensity score-matched (PSM) with patients newly prescribed pregabalin (n?=?898). Pain-related pharmacotherapy, comorbidities, and healthcare resource use/costs were examined during the 12 months, pre-index, and follow-up periods.

Results:

Both patient groups reported multiple comorbidities and received pain medications in the pre-index and follow-up periods. Among patients prescribed pregabalin, use of non-selective non-steroidal anti-inflammatory drugs (43.3% vs 39.8%), other anticonvulsants (28.6% vs 23.3%), and tetracyclic/miscellaneous antidepressants (28.5% vs 25.8%) significantly decreased, and cyclooxygenase 2 (COX-2) inhibitors (7.7% vs 10.4%), TCAs (4.8% vs 7.9%), and topical agents (10.8% vs 15.1%) increased in the follow-up period (p?<?0.05). Among patients prescribed TCAs, there were significant decreases in muscle relaxants (42.0% vs 38.4%) and sedative hypnotics (27.4% vs 23.9%), and increases in COX-2 inhibitors (5.8% vs 7.9%) and anticonvulsants (25.1% vs 33.7%; p?<?0.05). There were increases (p?<?0.0001) in pharmacy costs in both cohorts and total healthcare costs in the pregabalin cohort from pre-index to follow-up. Median total costs were higher (p?<?0.05) in the pregabalin group vs TCAs in the pre-index ($9935 vs $8771) and follow-up ($10,689 vs $8379) periods.

Limitations:

Despite attempts to address bias through PSM, the higher pre-index costs in the pregabalin cohort suggest a channeling of patients with more severe fibromyalgia to pregabalin.

Conclusions:

Patients with fibromyalgia prescribed pregabalin or TCAs had multiple comorbidities and a sizeable pain medication burden, which increased in the follow-up period for both cohorts. Only 5% of pregabalin initiators had been treated with concomitant TCAs at baseline, suggesting that TCAs were inappropriate for these patients owing to their contraindications.     

Impact of a step-therapy protocol for pregabalin on healthcare utilization and expenditures in a commercial population

Abstract

Objective:

To compare changes in healthcare resource utilization and costs among members with painful diabetic peripheral neuropathy (pDPN), postherpetic neuralgia (PHN), or fibromyalgia (FM) in a commercial health plan implementing pregabalin step-therapy with members in unrestricted plans.

Methods:

Retrospective study of outcomes associated with implementation of a pregabalin step-therapy protocol using claims data from Humana (‘restricted’ cohort) and Thomson Reuters MarketScan (‘unrestricted’ cohort). Members aged 18–65 years receiving treatment for pDPN, PHN, or FM during 2008 or 2009 were identified; cohorts were matched on diagnosis and geographic region. Baseline to follow-up changes in healthcare resource utilization and costs were determined using difference-in-differences (DID) analysis. Statistical models adjusting for covariates explored relationships between restricted access and outcomes.

Results:

A total of 3876 restricted cohort members were identified and matched to 3876 unrestricted cohort members. FM was the predominant diagnosis (84.7%). The unrestricted cohort was older (mean?=?49.0 (SD?=?10.4) years vs 47.6 (SD?=?10.5) years; p?<?0.001), and had greater comorbidity (RxRisk-V score?=?5.4 (SD?=?3.2) vs 4.4 (SD?=?2.9), p?<?0.001) than the restricted cohort. Compared with the unrestricted cohort, the restricted cohort demonstrated a greater year-over-year decrease in pregabalin utilization (?2.6%, p?=?0.008), and greater increases in physical therapy and disease-related outpatient utilization (3.7%, p?=?0.010 and 3.6%, p?=?0.022, respectively). There were no statistically significant net differences in all-cause or disease-related total healthcare, medical, or pharmacy costs between cohorts. After adjusting for baseline compositional differences between cohorts, restricted plan membership was associated with a net increase in all-cause medical ($1222; p?=?0.016) and disease-related healthcare costs ($859; p?=?0.002). Limitations include use of a combined analysis for pDPN, PHN, and FM, especially since the observed results were likely driven by FM; an inability to link the prescribing of a medication with the condition of interest, which is common to claims analyses; and lack of pain severity information.

Conclusions:

Implementation of a pregabalin step-therapy protocol resulted in lower pregabalin utilization, but this restriction was not associated with reductions in total healthcare costs, medical costs, or pharmacy costs.     

Clinical comorbidities,treatment patterns,and direct medical costs of patients with osteoarthritis in usual care: a retrospective claims database analysis

Abstract

Objective:

Comorbidities and resource utilization among patients with osteoarthritis (OA) in clinical practice have been infrequently characterized. The purpose of this study was to examine comorbidities, pain-related pharmacotherapy, and direct medical costs of patients with OA in clinical practice.

Method:

This retrospective cohort analysis used medical and pharmacy claims data from the LifeLink? Database. OA patients (ICD-9-CM codes 715.XX) were matched (age, gender, and region) with individuals without OA. Comorbidities, pain-related pharmacotherapy, and direct medical costs (pharmacy, outpatient, inpatient, total) were examined for the calendar year 2008.

Results:

The sample consisted of 112,951 OA patients and 112,951 controls (mean age: 56.9 [SD?=?9.5] years; 62% female). Relative to controls, OA patients were significantly more likely (p?<?0.0001) to have comorbidities, including musculoskeletal (84.3 vs. 37.1%) and neuropathic pain (22.0 vs. 6.1%) conditions, depression (12.4 vs. 6.4%), anxiety (6.6 vs. 3.5%), and sleep disorders (11.9 vs. 4.2%). OA patients were significantly more likely (p?<?0.0001) to receive pain-related medications, including opioids (40.7 vs. 17.1%), NSAIDs (37.1 vs. 11.5%), tramadol (9.8 vs. 1.8%), and adjunctive medications for treating depression, anxiety, and insomnia. Mean [SD] total direct medical costs were more than two times higher among OA patients ($12,905 [$21,884] vs. $5099 [$13,855]; p?<?0.001) and median costs were more than three times higher ($6188 vs. $1879; p?<?0.0001). Study limitations include potential errors in coding and recording; overestimation of the comorbidity burden; inability to link condition of interest, OA, with prescribed medications; and possible underestimation of the true costs of OA, because indirect costs were not considered and the direct costs were from a third party payer (commercial insurance) perspective.

Conclusion:

The patient burden of OA was characterized by a high prevalence of comorbidities. The payer burden was also substantial, with significantly greater use of pain-related and adjunctive medications, and higher direct medical costs.     

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.     

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.     

Economic outcomes of exenatide vs liraglutide in type 2 diabetes patients in the United States: results from a retrospective claims database analysis

Abstract

Objective:

The safety and efficacy of the GLP-1 receptor agonists exenatide BID (exenatide) and liraglutide for treating type 2 diabetes mellitus (T2DM) have been established in clinical trials. Effective treatments may lower overall treatment costs. This study examined cost offsets and medication adherence for exenatide vs liraglutide in a large, managed care population in the US.

Methods:

This was a retrospective cohort analysis comprising adult patients with T2DM who initiated exenatide or liraglutide between 1/1/2010 and 6/30/2010 and had 6 months pre-index and post-index continuous eligibility. Patients were propensity score-matched to controls for baseline differences. Medication adherence was measured by proportion of days covered (PDC). Paired t-test and McNemar’s test were used to compare outcomes.

Results:

Matched exenatide and liraglutide cohorts (n?=?1347 pairs) had similar average total 6-month follow-up costs ($6688 vs $7346). However, exenatide patients had significantly lower mean pharmacy costs ($2925 vs $3272, p?<?0.001). Among liraglutide patients, patients receiving the 1.8?mg dose had significantly higher average total costs compared to those receiving the 1.2?mg dose ($8031 vs $6536, p?=?0.026), with higher mean pharmacy costs in the 1.8?mg cohort ($3935 vs $3146, p?<?0.001). There were no significant differences in inpatient or outpatient costs or medication adherence between groups (mean PDC: exenatide 56% vs liraglutide 57%, p?=?0.088).

Limitations:

The study assumed that all information needed for case classification and matching of cohorts was present and not differential across cohorts. The study did not control for covariates that were unavailable, such as HbA1c and duration of diabetes.

Conclusions:

Patients initiating exenatide vs liraglutide for T2DM had similar medication adherence and total healthcare costs; however, exenatide patients had significantly lower total pharmacy costs. Patients prescribed 1.8?mg liraglutide had significantly higher costs compared to those on 1.2?mg.     

Longitudinal analysis of healthcare costs: a case study of patients with major depressive disorder treated with duloxetine

Abstract

Objective:

To develop and apply a longitudinal model that adjusts for pre-treatment covariates to examine the trajectory of healthcare costs in duloxetine patients with major depressive disorder (MDD).

Methods:

Retrospective healthcare cost data from Thomson Reuters Marketscan® Database included 10,987 patients with MDD, aged 18–64, receiving duloxetine at low (<60?mg/day), standard (60?mg/day), or high (>60?mg/day) initial doses. A linear mixed-effects model for repeated measures used dose, month, and dose*month as fixed effects and patient (dose) as a random effect, and adjusted for demographics, comorbidities, body system disorders, and prior medication history. Model goodness-of-fit was evaluated with R². Rates of change (slopes) were estimated from the fitted model and differences in the cost trajectory among dosing cohorts were tested using the F-test. Bootstrapping and propensity score (PS) stratification were conducted to provide sensitivity analyses.

Results:

Main effects and covariates were all significant (p?<?0.05). Adjustment by pre-treatment covariates greatly improved the model fit (R^2?=?0.43). The model revealed a significant increase in healthcare costs in the 6 months preceding and a significant decrease in the 6 months following duloxetine initiation for each initial dose cohort and the overall cohort (p?<?0.05). In both the pre- and post-treatment periods, the high initial-dose cohort had higher healthcare costs than standard or low initial-dose cohorts (p?<?0.05). Bootstrapping and PS stratification confirmed these test results.

Limitations:

The analyses performed here were based on non-randomized, observational data, and thus subject to potential biases due to unmeasured confounding.

Conclusions:

Longitudinal models, compared with conventional mean-based methods, provide better opportunities to assess changes in cost trajectory patterns around the time of changes in medical treatment. In insured patients with MDD started on duloxetine, healthcare costs increased before duloxetine initiation, perhaps signaling a clinical deterioration that led to a change in treatment strategy. Healthcare costs then decreased following duloxetine initiation.     

Resource utilization and healthcare costs for acute coronary syndrome patients with and without diabetes mellitus

Abstract

Objective:

This study compared differences in healthcare costs and resource utilization for acute coronary syndrome (ACS) patients with and without diabetes mellitus (DM).

Methods:

A retrospective cohort study of a large, US employer-based claims database identified adults hospitalized for ACS between 01/01/2005 and 12/31/2006 and categorized them based on DM status. Resource utilization and costs during the index hospitalization and in the 12-month follow-up period were compared for ACS patients with and without DM using the propensity score stratification bootstrapping method, adjusting for differences in demographic and clinical characteristics.

Results:

Of 12,502 patients who met selection criteria, 3,040 (24%) had a history of DM and 9,462 (76%) did not. Patients with DM were older, female, and had higher rates of previous cardiovascular and renal diseases. After the propensity score stratification, patients with DM incurred higher index hospitalization costs ($32,577 vs. $29,150, p?<?0.01) as well as higher total follow-up healthcare costs ($35,400 vs. $24,080, p?<?0.01), including higher inpatient ($17,278 vs. $11,247, p?<?0.01), outpatient ($12,357 vs. $8,853, p?<?0.01), and pharmacy costs ($5,765 vs. $3,980, p?<?0.01).

Limitations:

General limitations exist with any retrospective claims database analysis including potential diagnostic or procedural coding inaccuracies. Additionally, the patient population was representative of a working-age population with employer-sponsored health insurance and results may not be generalizable to other patient populations.

Conclusions:

DM is significantly associated with increased healthcare resource utilization and costs for ACS patients.     

Burden of venous leg ulcers in the United States

Objective:

To estimate the annual incremental per-patient and overall payer burden (2012USD) of venous leg ulcers (VLU) in the US.

Methods:

Beneficiaries with and without VLU were identified using two de-identified insurance claims databases: aged 65+ from a 5% random sample of Medicare beneficiaries (2007–2010: n?～?2.3 million); and aged 18–64 from a privately-insured population (2007–2011: n?～?8.4 million). The index date was selected as the date of a VLU claim with no other VLU diagnoses in the preceding 12 months for the VLU cohort and as the date of a random medical claim for the non-VLU patients. These groups were matched using propensity scores to account for differences in demographics, comorbidities, resource utilization, and costs in the 12 month pre-index period. Medical resource use and costs incurred during the 12 month follow-up period were calculated for both payers. Drug costs and indirect work-loss due to disability and medically-related absenteeism were estimated for the privately-insured sample only. Annual VLU incidence rates were also estimated for both payers.

Results:

Data for 58,672 matched VLU/non-VLU pairs of Medicare and 22,476 matched pairs of privately-insured patients were analyzed. Relative to matched non-VLU patients, VLU patients used more medical resources and incurred annual incremental medical costs of $6391 in Medicare ($18,986 vs $12,595), and $7030 ($13,653 vs $6623) in private insurance ($7086 including drug costs). Compared with non-VLU patients, privately-insured VLU patients had more days missed from work (14.0 vs 10.0), resulting in 29% higher work-loss costs (comparisons significant at p?Limitations:

Findings did not account for out-of-pocket payments or other indirect costs (e.g., lost productivity), and relied on accuracy of diagnosis and procedure codes contained in claims data.

Conclusion:

These findings suggest an annual US payer burden of $14.9 billion.     

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.