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.     

Treatment patterns and healthcare system burden of managed care patients with suspected pulmonary arterial hypertension in the United States

Abstract

Objectives:

To describe treatment patterns and healthcare burden among individuals with suspected pulmonary arterial hypertension (PAH), as identified through a practice guideline-based healthcare claims algorithm.

Methods:

Adults with evidence of PAH from 1 January 2004 (commercial and Medicaid) or 1 July 2006 (Medicare Advantage) through 30 June 2008 were identified. Given the lack of an ICD-9 code for PAH, an algorithm was developed requiring: (1) ≥1 claim for PAH medication (index date); (2) ≥1 claim with a pulmonary hypertension diagnosis code in the 6-month pre-index period (baseline) or within 90 days post-index; (3) a right heart catheterization or pulmonary hypertension-related inpatient stay during baseline or within 90 days post-index; and (4) continuous health plan enrollment for 6 months pre-index and ≥6 months post-index. Patients with PAH-specific medications during baseline were excluded. Treatment patterns, healthcare utilization, and costs were assessed during the period ending with the earlier of health plan disenrollment or 31 December 2008.

Results:

Among the 521 included patients, 69% were female. Most patients (94%) initiated treatment with monotherapy (most commonly sildenafil or bosentan), and 12.7% of all patients augmented their therapy by the end of the observation period. The medication possession ratio was 0.96 each for ambrisentan (SD?=?0.04), bosentan (SD?=?0.04), and sildenafil (SD?=?0.05). Overall, 72.6% of patients discontinued therapy with a mean of 149 (SD?=?170) days until discontinuation. A mean (SD) of 2.14 (1.82) all-cause office and 1.64 (1.98) outpatient visits occurred per patient per month. Mean PAH-related healthcare costs were $6617 per patient per month, comprising 71% of all-cause costs. The guideline-based algorithm may not have perfectly captured patients with PAH.

Conclusions:

Patients with suspected PAH were likely to initiate treatment with oral monotherapy, had high compliance rates, and received close ambulatory follow-up. PAH-related costs constituted the majority of all-cause healthcare costs.     

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.     

Clinical comorbidities,treatment patterns,and healthcare costs among patients with fibromyalgia newly prescribed pregabalin or duloxetine in usual care

Abstract

Objective:

To assess comorbidities, pain-related pharmacotherapy, and healthcare resource use among patients with fibromyalgia (FM) newly prescribed pregabalin or duloxetine (index event) in usual care settings.

Methods:

Using the LifeLink? Health Plan Claims Database, patients with FM (International Classification of Diseases, Ninth Revision, Clinical Modification code 729.1X) were identified. Patients initiated on duloxetine were propensity score-matched with patients initiated on pregabalin (n?=?826; mean age [standard deviation] of 48.3 [9.3] years for both groups). Prevalence of comorbidities, pain-related pharmacotherapy, and healthcare resource use/costs were examined during the 12-month pre-index and follow-up periods.

Results:

Both patient groups had multiple comorbidities and a substantial pain-related and adjuvant medication burden. In the pregabalin group, use of other anticonvulsants decreased significantly (31.6% vs 24.9%), whereas use of serotonin-norepinephrine reuptake inhibitors (SNRIs; 16.5% vs 22.5%) and topical agents (10.1% vs 13.2%) increased in the follow-up period (p?<?0.01). In the duloxetine group, there were significant decreases in the use of other SNRIs (13.0% vs 5.7%), selective serotonin reuptake inhibitors (41.3% vs 21.7%), and tricyclic antidepressants (18.8% vs 13.2%), and an increase in the use of anticonvulsants (28.6% vs 40.1%; p?<?0.0001). There were significant increases (p?<?0.0001) in pharmacy and total healthcare costs in both cohorts, and a significant increase in outpatient costs (p?=?0.0084) in the duloxetine cohort from pre-index to follow-up. There were no significant differences in median total healthcare costs between the pregabalin and duloxetine groups in both the pre-index ($10,159 vs $9,556) and follow-up ($11,390 vs $11,746) periods.

Limitations:

Limitations of this study are typical of those associated with retrospective database analyses.

Conclusions:

Patients with FM prescribed pregabalin or duloxetine were characterized by a significant comorbidity and pain/adjuvant medication burden. Although healthcare costs increased in both groups, there were no statistically significant differences in direct healthcare costs between the two groups.     

Healthcare resource utilization among patients diagnosed with idiopathic pulmonary fibrosis in the United States

Abstract

Objectives:

Few studies have characterized healthcare resource utilization among patients with idiopathic pulmonary fibrosis. The objective of this study is to assess healthcare resource utilization among patients with idiopathic pulmonary fibrosis as compared to members without this condition.

Methods:

Patients newly diagnosed with idiopathic pulmonary fibrosis were identified from a national administrative claims database (2006–2011) as having ≥2 claims with idiopathic fibrosing alveolitis, or ≥1 claim with idiopathic fibrosing alveolitis and ≥1 claim with post-inflammatory pulmonary fibrosis (earliest claim with idiopathic fibrosing alveolitis denoted the index date), a procedure of lung biopsy or high-resolution computed tomography within ±90 days of the index date, 12-month pre-index continuous enrollment, plus ≥2 confirmatory idiopathic fibrosing alveolitis diagnoses after the procedure. For each idiopathic pulmonary fibrosis patient, three members without the condition were matched by age/gender/region/payer type. Demographic/clinical characteristics were measured during the 1-year pre-index period. Healthcare resource utilization was assessed by quarter during 1-year pre- and post-index periods. Generalized estimating equation models controlling for patient characteristics were constructed to estimate adjusted post-index healthcare resource utilization.

Results:

In total, 1735 patients with idiopathic pulmonary fibrosis and 5205 without (mean age?=?71.5 years; 46.1% female) were included. Adjusted results revealed idiopathic pulmonary fibrosis patients were more likely to use healthcare resources than members without the condition 1-year post-index (number of hospitalizations, emergency room visits, and outpatients visits: 0.63 vs 0.31, 0.62 vs 0.48, and 5.7 vs 3.1 per person-year, respectively).

Conclusions:

Healthcare resource utilization is considerably higher among patients with idiopathic pulmonary fibrosis than members without the condition. Effective treatments for patients with idiopathic pulmonary fibrosis are needed to help reduce burden of healthcare resource use.     

Medical costs and healthcare resource use in patients with lupus nephritis and neuropsychiatric lupus in an insured population

Abstract

Objective:

Systemic lupus erythematosus (SLE) is a chronic autoimmune disease that can affect multiple organ systems, including the kidneys (lupus nephritis) and the central nervous system (neuropsychiatric lupus, or NPSLE). The healthcare costs and resource utilization associated with treating lupus nephritis and NPSLE in a large US managed care plan were studied.

Methods:

SLE subjects ≥18 years of age and with claims-based evidence of nephritis or neuropsychiatric conditions were identified from a health plan database. An index date was set as a randomly drawn date from all qualifying claims during 2003–2008 for study subjects. Subjects were matched on the basis of demographic and clinical characteristics to unaffected controls. Costs and resource use were determined during a fixed 12-month post-index period.

Results:

Nine hundred and seven lupus nephritis subjects were matched to controls, and 1062 subjects with NPSLE were matched to controls. Mean overall post-index healthcare costs were significantly higher among subjects with lupus nephritis in comparison to matched controls ($33,472 vs $5347, p?<?0.001). Similarly, mean overall post-index healthcare costs were significantly higher among subjects with NPSLE compared to controls ($30,341 vs $4646, p?<?0.001). Subjects with lupus nephritis or NPSLE had higher mean post-index numbers of ambulatory visits, specialist visits, emergency department visits and inpatient hospital stays, compared to controls (all p?<?0.001).

Limitations:

Additional research, such as medical chart review, could provide validation for the claims-based identification of lupus nephritis and NPSLE subjects. Also, indirect costs were not evaluated in this study.

Conclusion:

Subjects with lupus nephritis or NPSLE have high costs and resource use, compared to unaffected controls.     

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.     

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.     

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.     

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.     

Exenatide BID and liraglutide QD treatment patterns among type 2 diabetes patients in Germany

Abstract

Objectives:

This study evaluated patient and prescriber characteristics, treatment patterns, average daily dose (ADD), and glycemic control of patients initiating glucagon-like peptide 1 (GLP-1) receptor agonists in Germany.

Methods:

The LifeLink? EMR-EU database was searched to identify patients initiating exenatide twice daily (BID) or liraglutide once daily (QD) during the index period (January 1, 2009–April 4, 2010). Eligible patients had ≥180 days pre-index history, ≥90 days post-index follow-up, and a pre-index type 2 diabetes diagnosis. Univariate tests were conducted at α?=?0.05.

Results:

Six hundred and ninety-two patients were included (exenatide BID 292, liraglutide QD 400): mean (SD) age 59 (10) years, 59% male. Diabetologists prescribed liraglutide QD to a larger share of patients (65% vs 35% exenatide BID) than non-diabetologists (51% vs 49%). GLP-1 receptor agonist choice was not associated with age (p?=?0.282), gender (p?=?0.960), number of pre-index glucose-lowering medications (2.0 [0.9], p?=?0.159), pre-index HbA1c (8.2 [1.5%], p?=?0.231) or Charlson Comorbidity Index score (0.45 [0.78], p?=?0.547). Mean (SD) ADD was 16.7?mcg (9.2, label range 10–20?mcg) for exenatide BID and 1.4?mg (0.7, label range 0.6–1.8?mg) for liraglutide QD. Among patients with post-index HbA1c tests, mean unadjusted values did not differ between cohorts. Exenatide BID patients were more likely than liraglutide QD patients to continue pre-index glucose-lowering medications (67.1% vs 60.3%, p?=?0.027) or to start concomitant glucose-lowering medications at index (32.2% vs 25.0%, p?=?0.013); exenatide BID patients were less likely to augment treatment with another drug post-index (15.8% vs 22.5%, p?=?0.027).

Limitations:

Results may not be generalizable. Lab measures for clinical outcomes were available only for a sub-set of patients.

Conclusions:

Results suggested that some differences exist between patients initiating exenatide BID or liraglutide QD, with respect to prescribing physician specialty and pre- and post-index treatment patterns. Both GLP-1 receptor agonists showed comparable post-index HbA1c values in a sub-set of patients.