Association between provider specialty and healthcare costs and glycemic control for patients with diabetes

Aims: To analyze the association between provider, healthcare costs, and glycemic control for patients with diabetes mellitus (DM).

Materials and methods: This cross-sectional study identified adults with type 1 or 2?DM (T1D, T2D) in the Optum database. The main independent variable was provider (endocrinologist or primary care). Regression analysis compared total medical and pharmacy costs, adjusting for health status and other patient differences, by provider.

Results: For all patients, HbA1C improvement was greater, and medical costs significantly lower with an endocrinologist rather than a primary care provider. The largest HbA1C improvement (4%) occurred for insulin-dependent patients seen by endocrinologists. Significant medical savings with endocrinologist management occurred within the Medicare Advantage population in every sub-group of patients, with 14% lower costs ($4,767) for patients with T1D, 11% lower costs ($3,160) for patients with macro- and microvascular complications, and 10% lower costs ($2,237) for insulin-dependent patients. Within the commercial insurance population, medical costs were reduced by ≥9% in every sub-group of patients, with a 20% reduction ($8,450) for patients with micro- and macrovascular complications. Overall total costs (medical and pharmacy) were 8% ($1,541) higher for patients receiving endocrinologist rather than primary care, although endocrinologist care resulted in a 9% reduction (–$3,710) in costs for Medicare Advantage patients with T1D. Total medical costs (excluding pharmacy costs) may be a more accurate indicator of costs associated with patients in various stages of DM.

Limitations: There was insufficient data to develop risk-adjustment payments for pharmacy costs based on disease severity. The cross-sectional design identifies associations and not cause–effect relationships.

Conclusion: DM management by an endocrinologist was associated with greater HbA1C improvement and significantly lower medical costs. Total costs were higher with an endocrinologist, but for patients with T1D lower costs were seen, ranging from 2–9% regardless of insurance type.     

The role of mental health and addiction among high-cost patients: a population-based study

Aims: Previous work found that, among high-cost patients, those with a majority of mental health and addiction (MHA)-related costs (>50%) incur over 30% more costs than other high-cost patients. However, this work did not examine other high-cost patients in depth or whether they had any MHA-related costs. The objective of this analysis was to examine the role of MHA-related care among other high-cost patients.

Methods: Using administrative healthcare data from Ontario, Canada, this study selected all patients in the 90th percentile of the cost distribution in 2012. It focused primarily on two groups based on the percentage of MHA-related costs relative to total costs: (1) high-cost patients with some MHA-related costs (0%?>?and <50%) and (2) high-cost patients with no MHA-related costs (0%). We examined socio-demographic and clinical characteristics, utilization and costs for both groups, and modeled patient-level costs using appropriate regression techniques. We also compared these groups with high-cost patients with a majority of MHA-related costs (>50%).

Results: High-cost patients with some MHA-related costs incurred over 40% more costs than those without ($27,883 vs $19,702). Patients with some MHA-related costs were older, lived in poorer neighborhoods, and had higher levels of comorbidity compared to those without. After controlling for relevant variables, having any type of MHA-related utilization increased costs by $2,698. Having a diagnosis of psychosis had a large impact on costs.

Limitations: This study did not examine children and adolescents. We were only able to account for 91% of all costs incurred by the public third-party payer; addiction-related costs from community-based agencies were not available.

Conclusions: High-cost patients with MHA incur higher costs compared to those without. When considering interventions aimed at high-cost patients, policy-makers should consider their complex nature, specifically both their physical and MHA-related comorbidities.     

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.     

Treatment patterns and predictors of costs among patients with migraine: evidence from the United States medical expenditure panel survey

Abstract

Aim: Within a treated migraine population, to evaluate if the sub-group meeting criteria for high disease-specific total costs is significantly different to the sub-group with medium and/or low-costs, and to identify the associated risk factors.

Methods: Data from the Household Component of Medical Expenditure Panel Survey (MEPS-HC, 2008–2012), a nationally representative survey of non-institutionalized civilians in the US, were analyzed. Key inclusion criteria were migraine diagnosis (ICD-9 code: 346.XX) and prescribed treatment for migraine. Patients were categorized into high (>top 10th percentile), low (<bottom 10th percentile), and medium (between high and low) cost sub-groups per migraine-specific total costs. Logistic regression models were applied to identify predictors of high vs medium and medium vs low-costs. Preventive eligibility, defined as (i) past/current use of migraine preventives or (ii) overuse of acute medications, was compared to non-preventive eligibility.

Results: Within the treated migraine cohort (n?=?1,735), the mean age was 39?years, 80% were female, and the majority were in the medium-cost sub-group (n?=?1,360) (low-cost n?=?190, high-cost n?=?195). Significant predictors of high vs medium-costs were low SF-12 Physical Composite Scores (OR?=?0.95; 95% CI?=?0.92–0.97), low SF-6D health utility index scores (OR?=?0.019; 95% CI?=?0.002–0.193), preventive eligibility-i (OR?=?0.019; 95% CI?=?0.002–0.193), and preventive-eligibility-ii (OR?=?3.10; 95% CI?=?1.62–5.91). Statistically significant (p?<?0.05) predictors of medium vs low-costs included anxiety, Fleishman score, preventive-eligible-i, and preventive-eligible-ii.

Conclusions: Among patients treated for migraine, distinct characteristics, including patient-functioning measures and comorbidities, are predictive of high vs medium-costs, and medium vs low-costs. Preventive eligibility is a predictor of being in the higher cost sub-groups; however, preventive treatments that improve functioning and reduce acute medication use have the potential to reduce migraine-specific costs.

Limitations: The results are limited to a population that is diagnosed and treated for migraine. Over-the-counter medication use, and migraine headache frequency and severity were not captured.     

Treatment patterns,complications, and direct medical costs associated with ankylosing spondylitis in Chinese urban patients: a retrospective claims dataset analysis

Aim: To describe treatment pattern, complications, and direct medical costs associated with ankylosing spondylitis (AS) in Chinese urban patients.

Methods: The 2013 China Health Insurance Research Association (CHIRA) urban insurance claims database was used to identify patients with AS. The identified patients were stratified by AS treatments for the comparisons of well established AS-related complications and direct medical costs. Conventional regression analyses adjusted the collected patient baseline characteristics to confirm the impact of treatments on complications and direct medical costs.

Results: Of the identified 1299 patients with AS, 18.0% received non-steroidal anti-inflammatory drugs (NSAID), 11.2% received immunosuppressant, 48.2% received NSAID plus immunosuppressant, 4.6% received biologic agents, and 17.9% received medications without indication for AS. Biologic group was associated with the lowest proportion of AS-related complications (8.3%) that was confirmed by multiple logistic regression analysis (odds ratio = 0.200, p?=?.017). The biologic group was also associated with highest direct medical costs (median: RMB?=?14,539) that were confirmed by the multiple generalized linear model (coefficient = 1.644, p?Conclusions: Biologics were not commonly used for AS in Chinese patients likely due to their high cost. Future studies are needed to confirm the potential long-term clinical benefits associated biologic treatment for AS.     

Persistence,adherence, and all-cause healthcare costs in atazanavir- and darunavir-treated patients with human immunodeficiency virus in a real-world setting

Objectives:

Atazanavir (ATV) and darunavir (DRV) are protease inhibitors approved for HIV treatment in combination with ritonavir (/r). The objectives of this study were to compare persistence (time to treatment discontinuation/modification), adherence, and healthcare costs among patients with human immunodeficiency virus (HIV) initiating ATV/r or DRV/r.

Methods:

This retrospective cohort study used commercial and Medicaid administrative insurance claims data. Patients initiating ATV/r or DRV/r from 2006–2013 with continuous enrollment for ≥6 months before and ≥3 months after initiation were included. Patients were followed from initiation until discontinuation/modification (≥30 day gap in ATV or DRV or initiation of a new antiretroviral medication), during which time adherence (proportion of days covered [PDC], with PDC ≥80% or 95% considered adherent) and per-patient per-month (PPPM) total healthcare costs were measured. DRV/r patients were propensity score matched to ATV/r patients at a 1:1 ratio to achieve balance on potentially confounding demographic and clinical factors. Commercial and Medicaid samples were analyzed separately, as were antiretroviral (ART)-naïve and experienced patients.

Results:

The final samples comprised 2988 commercially-insured and 1158 Medicaid-insured patients. There were no significant differences in hazards of discontinuation/modification between the ATV/r or DRV/r cohorts. With respect to odds of being adherent, the only marginally significant result was comparing odds of achieving PDC ≥80% among ART-naïve Medicaid patients, which favored ATV/r. All other adherence comparisons were not significant. Although ATV/r cohorts tended to have lower PPPM costs, the majority of these differences were not statistically significant.

Conclusions:

Patients with HIV treated with either ATV/r or DRV/r had similar time to treatment discontinuation/modification, adherence, and monthly healthcare costs. Results were similar across the pre-specified sub-groups. These findings are useful not only as an insight into clinical practice, but also as a resource for healthcare providers and payers evaluating treatment options for HIV+ individuals.     

Economic burden and healthcare utilization associated with castration-resistant prostate cancer in a commercial and Medicare Advantage US patient population

Objective: Prostate cancer is a leading cause of cancer death in men in the US. Castration-resistant prostate cancer (CRPC) is an advanced form of the disease and has a poor prognosis and limited treatment options. The objective of this study was to identify patients with CRPC from a medical claims database, and determine the prostate cancer-related economic burden and healthcare utilization of these patients.

Methods: This was a retrospective study using claims and enrollment information from a large US database linkable to laboratory data. Male patients aged 40 or older who were diagnosed with prostate cancer and received surgical or medical castration between July 1, 2001 and December 1, 2007 were considered for study inclusion. Patients with CRPC were initially identified based on at least two increases in prostrate-specific antigen (PSA) values. Due to the small number of patients with available PSA results data, logistic regression modeling using characteristics of patients with known CRPC was used to identify a larger set of patients with likely CRPC. Per-patient per-month healthcare utilization and costs were determined using medical and pharmacy claims data.

Results: The final sample of patients with likely CRPC as determined by regression modeling included 349 patients with known CRPC identified from the database on the basis of PSA results and an additional 2391 with likely CRPC. Within this final sample of 2740 CRPC patients, there was a per-patient per-month average of 1.43 prostate cancer-related ambulatory visits, 0.04 prostate cancer-related inpatient stays, and 0.01 prostate cancer-related ER visits. Average per-patient per-month prostate cancer-related costs were $1152 (SD = $2073) for ambulatory visits, $559 (SD = $2383) for inpatient stays, $72 (SD = $229) for pharmacy costs, and $1 (SD = $14) for ER visits. Total per-patient per-month prostate cancer-related costs were on average $1799 (SD = $3505), and these costs comprised about half of the all-cause healthcare costs for these patients.

Conclusions: CRPC is a costly disease, with ambulatory visits and inpatient care accounting for a substantial proportion of the economic burden. Limitations related to the use of retrospective claims data should be considered when interpreting these results.     

Direct medical costs for patients with tuberous sclerosis complex and surgical resection of subependymal giant cell astrocytoma: a US national cohort study

Abstract

Objective:

To estimate direct medical costs for patients with tuberous sclerosis complex (TSC) and surgical resection of subependymal giant-cell astrocytoma (SEGA).     

Management and cost analysis of cancer patients treated with G-CSF: a cohort study based on the French national healthcare insurance database

Objectives: To describe the management and costs associated with G-CSF therapy in cancer patients in France.

Methods: This study analyzed a representative random population sample from the French national healthcare insurance database, focusing on 1,612 patients with hematological or solid malignancies who were reimbursed in 2013 or 2014 for at least one G-CSF treatment dispensed in a retail pharmacy. Patient characteristics and treatment costs were analyzed according to the type of cancer. Then the costs and characteristics of patients associated with the use of different G-CSF products were analyzed in the sub-set of breast cancer patients.

Results: The most frequent malignancies in the database population were breast cancer (23.3%), hematological malignancies (22.2%), and lung cancer (12.4%). The reimbursed G-CSF was pegfilgrastim in 34.1% of cases, lenograstim in 26.7%, and filgrastim in 17.9%. More than one G-CSF product was reimbursed to 21.3% of patients. The total annual reimbursed health expenses per patient, according to the type of G-CSF, were €27,001, €24,511, and €20,802 for patients treated with filgrastim, lenograstim, and pegfilgrastim, respectively. Ambulatory care accounted for, respectively, 35%, 38%, and 41% of those costs. In patients with breast cancer, ambulatory care cost was €7,915 with filgrastim, €7,750 with lenograstim, and €6,989 with pegfilgrastim, and the respective cost of G-CSF was €1,733, €1,559, and €3,668.

Conclusion: All available G-CSF products have been shown to be effective in cancer patients, and both daily G-CSFs and pegylated G-CSF are recommended in international guidelines. Nevertheless, this analysis of G-CSF reimbursement indicates that the choice of product can markedly affect the total cost of ambulatory care.     

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.     

Cost of stroke in Canada: a 1-year prospective study

Summary

The objective of this study was to estimate the 1-year cost of stroke for patients in Canada in 2004 and to determine the factors that contribute to this cost.

This work was based on a prospective follow-up study of all patients presenting with a stroke or transient ischaemic attack (TIA) to the emergency room in a large teaching hospital over a 6-month prospective period. All healthcare, social services, patient and caregiver resource utilisation attributable to strokes or TIAs were included in the analysis. There were 365 patients who met the

inclusion criteria. The average 1-year cost of managing patients with TIA was the lowest at $17,769, followed by ischaemic strokes at $53,576 and haemorrhagic strokes at $56,573. Predictors for 1-year cost were: type of stroke; discharge severity of stroke; death; marital status; discharge destination; and the presence of diabetes and congestive heart failure.

Initial hospitalisation costs represented the majority of 1-year costs of stroke. However, caregiver expenses are significant at between 11% and 27% of the total are 1-year cost.     

Predictors of high healthcare resource utilization and liver disease progression among patients with chronic hepatitis C

Background:

Since hepatitis C virus therapy is typically prioritized for patients with more advanced disease, predicting which patients will progress could help direct scarce resources to those likely to benefit most. This study aims to identify demographics and clinical characteristics associated with high healthcare resource utilization (HRU) and liver disease progression among CHC patients.

Methods:

Using health insurance claims (January 2001–March 2013), adult patients with ≥2 CHC claims (ICD-9-CM: 070.44 or 070.54), and ≥6 months of continuous insurance coverage before and ≥36 months after the first CHC diagnosis were included. Patients with human immunodeficiency virus were excluded. Generalized estimating equations were used to identify the demographic and clinical characteristics of being in the 20% of patients with the highest HRU. Factors predicting liver disease progression were also identified.

Results:

In the study population (n?=?4898), liver disease severity and both CHC- and non–CHC-related comorbidities and conditions were strong predictors of high healthcare costs, with odds ratios (ORs; 95% confidence interval [CI]) for ≥2 CHC-related and ≥2 non-CHC-related comorbidities/conditions of 2.78 (2.48–3.12) and 2.19 (1.76–2.72), respectively. CHC- and non-CHC-related comorbidities and conditions were also strong predictors of liver disease progression with ORs (95% CI) for ≥2 CHC-related and ≥2 non-CHC-related comorbidities and conditions of 2.18 (1.83–2.60) and 1.50 (1.14–1.97), respectively.

Limitations:

Potential inaccuracies in claims data, information or classification bias, and findings based on a privately insured population.

Conclusion:

This study suggests that CHC patients with high healthcare resource utilization have a high level of comorbidity at baseline and also that non-CHC comorbidities and conditions are strong predictors of high HRU. Non-cirrhotic CHC patients with one or more comorbidities are at high risk of progressing to cirrhosis or end-stage liver disease.     

Healthcare resource utilization and direct medical costs associated with index and recurrent Clostridioides difficile infection: a real-world data analysis

Abstract

Aims: This study aimed to evaluate all-cause economic outcomes, healthcare resource utilization (HRU), and costs in patients with Clostridioides difficile infection (CDI) and recurrent CDI (rCDI) using commercial claims from a large database representing various healthcare settings.

Materials and methods: A retrospective analysis of commercial claims data from the IQVIA PharMetrics Plus database was conducted for patients aged 18–64 years with CDI episodes requiring inpatient stay with CDI diagnosis code or an outpatient medical claim for CDI plus a CDI treatment. Index CDI episodes occurred between 1 January 2010 and 30 June 2017, including only those where patients were observable 6 months before and 12 months after the index episode. Each CDI episode was followed by a 14-d claim-free period. rCDI was defined as another CDI episode within an 8-week window following the claim-free period. HRU, all-cause direct medical costs and time to rCDI were calculated over 12 months and stratified by number of rCDI episodes.

Results: A total of 46,571 patients with index CDI were included. Mean time from one CDI episode to the next was approximately 1 month. In the 12-month follow-up period, those with no recurrence had 1.4 inpatient visits per person and those with 3 or more recurrences had 5.8. Most patients with 3 or more recurrences had 2 or more hospital admissions. The mean annual, total all-cause direct medical costs per patient were $71,980 for those with no recurrence and $207,733 for those with 3 or more recurrences.

Limitations: The study included individuals 18–64 years only. A stringent definition of rCDI was used, which may have underestimated the incidence of rCDI.

Conclusions: CDI and rCDI are associated with substantial healthcare resource utilization and direct medical costs. Timing of recurrences can be predictable, providing a window of opportunity for interventions. Prevention of multiple rCDI appears essential to reduce healthcare costs.     

Treatment patterns,healthcare resource utilization,and costs in patients with acute myeloid leukemia in commercially insured and Medicare populations

Objective: To describe the setting, duration, and costs of induction and consolidation chemotherapy for adults with newly-diagnosed acute myeloid leukemia (AML), who are candidates for standard induction chemotherapy, in the US.

Methods: Adults newly-diagnosed with AML who received standard induction chemotherapy in an inpatient setting were identified from the Truven Health Analytics MarketScan (2006–2015) and SEER-Medicare (2007–2011) databases. Patients were observed from induction therapy start to the first of hematopoietic stem cell transplant, 180 days after induction discharge, health plan enrollment/data availability end, or death. Induction and consolidation chemotherapy were identified using Diagnosis-Related Group codes (chemotherapy with acute leukemia) or procedure codes for AML chemotherapy administration. AML treatment episode setting (inpatient or outpatient), duration, and costs (2015 USD, payers’ perspective) were described for commercially insured patients and Medicare beneficiaries.

Results: In total, 459 commercially insured patients and 563 Medicare beneficiaries (mean age?=?54 and 66 years; 53% and 54% male; respectively) were identified. For induction therapy, mean costs were $145,189 for commercially insured patients and $85,734 for Medicare beneficiaries, and median inpatient duration was 31 days (both). Following induction, 64% of commercially insured patients and 53% of Medicare beneficiaries had ≥1 consolidation cycle; 75% and 65% of consolidation cycles were in an inpatient setting, respectively. For consolidation cycles, in the inpatient setting, mean costs were $28,137 for commercially insured patients and $28,843 for Medicare beneficiaries, median cycle duration was 6 days (both); in the outpatient setting, mean costs were $11,271 for commercially insured patients and $5,803 Medicare beneficiaries, median duration was 5 days (both).

Limitations: Granular information on chemotherapy type administered was unavailable.

Conclusions: This is the first exploratory study providing a complete picture of recent AML treatment patterns and management costs among commercially insured patients and Medicare beneficiaries. There is substantial heterogeneity in the management and costs of AML.