Economic burden of comorbid chronic kidney disease and diabetes

Objective: To estimate real-world healthcare utilization and expenditures across the spectrum of chronic kidney disease (CKD), as determined by estimated glomerular filtration rate (eGFR) categories in patients with diabetes.

Methods: This study employed a retrospective cohort study design using the Truven Healthcare and Claims Dataset from 2009–2012. Index date was defined as the first eGFR value during a continuous enrollment period of 24 months. Cohorts of patients were stratified by Kidney Disease: Improving Global Outcomes CKD stage based on eGFR (stages 1: ≥90?mL/min/1.73?m²; 2: 60–89; 3A: 45–59; 3B: 30–44; 4: 15–29; 5: <15). Healthcare expenditures (total patient and payer paid claims) and utilization (number of claims or visits) were estimated 12-months post-index date using generalized linear modeling and negative binomial modeling, respectively, after adjusting for baseline characteristics.

Results: Of 130,098 patients with an index eGFR value and 24-months continuous enrolment, 64,521 (49.59%) were in stage 1 CKD, 47,816 (36.75%) were in stage 2, 13,377 (10.28%) were in stage 3A, 3,217 (2.47%) were in stage 3B, 898 (0.69%) were in stage 4, and 269 (0.21%) were in stage 5. Patients in stages 3A, 3B, and 4 CKD had 1.32 (95% CI?=?1.22–1.43), 1.59 (95% CI?=?1.41–1.80), and 2.65 (95% CI?=?2.23–3.14) times higher rates of diabetes-associated inpatient visits, respectively, compared with stage 1 CKD patients. Patients in stages 3A, 3B, and 4 CKD had increased incremental total annual healthcare expenditures of $1,732 (95% CI?=?$1,109–$2,356), $2,632 (95% CI?=?$1,647–$3,619), and $6,949 (95% CI?=?$5,466–$8,432), respectively, compared with stage 1 CKD patients.

Limitations: The claims data were generated for billing and reimbursement, not for research purposes.

Conclusions: These real-world data suggest an incremental and significant increase in economic burden in diabetes as kidney function declines, starting with moderate (stage 3A) CKD.     

Distribution and drivers of costs in type 2 diabetes mellitus treated with oral hypoglycemic agents: a retrospective claims data analysis

Objective:

To describe the distribution of costs and to identify the drivers of high costs among adult patients with type 2 diabetes mellitus (T2DM) receiving oral hypoglycemic agents.

Methods:

T2DM patients using oral hypoglycemic agents and having HbA1c test data were identified from the Truven MarketScan databases of Commercial and Medicare Supplemental insurance claims (2004–2010). All-cause and diabetes-related annual direct healthcare costs were measured and reported by cost components. The 25% most costly patients in the study sample were defined as high-cost patients. Drivers of high costs were identified in multivariate logistic regressions.

Results:

Total 1-year all-cause costs for the 4104 study patients were $55,599,311 (mean cost per patient?=?$13,548). Diabetes-related costs accounted for 33.8% of all-cause costs (mean cost per patient?=?$4583). Medical service costs accounted for the majority of all-cause and diabetes-related total costs (63.7% and 59.5%, respectively), with a minority of patients incurring >80% of these costs (23.5% and 14.7%, respectively). Within the medical claims, inpatient admission for diabetes-complications was the strongest cost driver for both all-cause (OR?=?13.5, 95% CI?=?8.1–23.6) and diabetes-related costs (OR?=?9.7, 95% CI?=?6.3–15.1), with macrovascular complications accounting for most inpatient admissions. Other cost drivers included heavier hypoglycemic agent use, diabetes complications, and chronic diseases.

Limitations:

The study reports a conservative estimate for the relative share of diabetes-related costs relative to total cost. The findings of this study apply mainly to T2DM patients under 65 years of age.

Conclusions:

Among the T2DM patients receiving oral hypoglycemic agents, 23.5% of patients incurred 80% of the all-cause healthcare costs, with these costs being driven by inpatient admissions, complications of diabetes, and chronic diseases. Interventions targeting inpatient admissions and/or complications of diabetes may contribute to the decrease of the diabetes economic burden.     

Clostridial collagenase ointment and medicinal honey utilization for pressure ulcers in US hospitals

Aims: To describe the utilization of clostridial collagenase ointment (CCO) and medicinal honey debridement methods in real-world inpatient and outpatient hospital settings among pressure ulcer (PU) patients and compare the frequency of healthcare re-encounters between CCO- and medicinal honey-treated patients.

Materials and methods: De-identified hospital discharge records for patients receiving CCO or medicinal honey methods of debridement and having an ICD-9 code for PU were extracted from the US Premier Healthcare Database. Multivariable analysis was used to compare the frequency of inpatient and outpatient revisits up to 6 months after an index encounter for CCO- vs medicinal honey-treated PUs.

Results: The study identified 48,267 inpatients and 2,599 outpatients with PUs treated with CCO or medicinal honeys. Among study inpatients, n?=?44,725 (93%) were treated with CCO, and n?=?3,542 (7%) with medicinal honeys. CCO and medicinal honeys accounted for 1,826 (70%) and 773 (30%), respectively, of study outpatients. In adjusted models, those treated with CCO had lower odds for inpatient readmissions (OR?=?0.86, 95% CI?=?0.80–0.94) after inpatient index visits, and outpatient re-encounters both after inpatient (OR?=?0.73, 95% CI?=?0.67–0.79) and outpatient (OR?=?0.78, 95% CI?=?0.64–0.95) index visits in 6 months of follow-up.

Limitations: The study was observational in nature, and did not adjust for reasons why patients were hospitalized initially, or why they returned to the facility. Although the study adjusted for differences in a variety of demographic, clinical, and hospital characteristics between the treatments, we are not able to rule out selection bias.

Conclusion: Patients with CCO-treated PUs returned to inpatient and outpatient hospital settings less often compared with medicinal honey-treated PUs. These results from real-world administrative data help to gain a better understanding of the clinical characteristics of patients with PUs treated with these two debridement methods and the economic implications of debridement choice in the acute care setting.     

Relationship of hospital-associated bleeding with length of stay and total hospitalization costs in patients hospitalized for atrial fibrillation

Background:

While literature has focused on the impact of bleeding beginning outside the hospital setting among patients with atrial fibrillation (AF), there is little information regarding bleeding that first occurs within a hospital setting. This study was performed to determine the association between hospital-associated bleeding in patients admitted for AF on outcomes of length of stay (LOS) and total hospitalization cost.

Methods and results:

The Premier research database was queried to identify adult inpatients discharged between 2008–2011 having a primary diagnosis code for AF where a bleeding diagnosis code was not present on admission. Regression was used to adjust for baseline differences in patients to estimate outcomes comparing patients with and without a hospital-associated bleed. There were 143,287 patients that met the study criteria. There were 2991 (2.1%) patients identified with a hospital associated bleed. After adjustment for covariates, the mean estimated LOS was significantly greater in the bleed group, at 6.0 days (95% CI?=?5.8–6.1) vs the no bleed group at 3.3 days (95% CI?=?3.3–3.3) (p?<?0.0001). Similarly, the adjusted mean estimated total hospitalization cost was also significantly greater in the bleed group, $12,069 (95% CI?=?$11,779–$12,366) vs $6561 (95% CI?=?$6538–$6583) in the no bleed group (p?<?0.0001).

Conclusions:

After adjustments for baseline differences the data show that the 2.1% (n?=?2991) of patients with hospital associated bleeding accounted for an estimated additional 8106 hospitalization days and $16.4 million dollars in cost over the study period compared to non-bleeders.     

The effect of pharmacogenetic profiling with a clinical decision support tool on healthcare resource utilization and estimated costs in the elderly exposed to polypharmacy

Objective:

To compare healthcare resource utilization (HRU) and clinical decision-making for elderly patients based on cytochrome P450 (CYP) pharmacogenetic testing and the use of a comprehensive medication management clinical decision support tool (CDST), to a cohort of similar non-tested patients.

Methods:

An observational study compared a prospective cohort of patients ≥65 years subjected to pharmacogenetic testing to a propensity score (PS) matched historical cohort of untested patients in a claims database. Patients had a prescribed medication or dose change of at least one of 61 oral drugs or combinations of ≥3 drugs at enrollment. Four-month HRU outcomes examined included hospitalizations, emergency department (ED) and outpatient visits and provider acceptance of test recommendations. Costs were estimated using national data sources.

Results:

There were 205 tested patients PS matched to 820 untested patients. Hospitalization rate was 9.8% in the tested group vs 16.1% in the untested group (RR?=?0.61, 95% CI?=?0.39–0.95, p?=?0.027), ED visit rate was 4.4% in the tested group vs 15.4% in the untested group (RR?=?0.29, 95% CI?=?0.15–0.55, p?=?0.0002) and outpatient visit rate was 71.7% in the tested group vs 36.5% in the untested group (RR?=?1.97, 95% CI?=?1.74–2.23, p?<?0.0001). The rate of overall HRU was 72.2% in the tested group vs 49.0% in the untested group (RR?=?1.47, 95% CI?=?1.32–1.64, p?<?0.0001). Potential cost savings were estimated at $218 (mean) in the tested group. The provider majority (95%) considered the test helpful and 46% followed CDST provided recommendations.

Conclusion:

Patients CYP DNA tested and treated according to the personalized prescribing system had a significant decrease in hospitalizations and emergency department visits, resulting in potential cost savings. Providers had a high satisfaction rate with the clinical utility of the system and followed recommendations when appropriate.     

Outcomes of tumor necrosis factor inhibitor cycling versus switching to a disease-modifying anti-rheumatic drug with a new mechanism of action among patients with rheumatoid arthritis

Objectives: To examine treatment patterns, treatment effectiveness, and treatment costs for 1 year after patients with rheumatoid arthritis switched from a tumor necrosis factor inhibitor (TNFi) (adalimumab, certolizumab pegol, etanercept, golimumab, or infliximab), either cycling to another TNFi (“TNFi cyclers”) or switching to a new mechanism of action (abatacept, tocilizumab, or tofacitinib) (“new MOA switchers”).

Methods: This retrospective cohort study used administrative claims data for a national insurer. Treatment persistence (without switching again, restarting, or discontinuing), treatment effectiveness (defined below), and costs were assessed for the 12-month post-switch period. Patients were “effectively treated” if they satisfied all six criteria for a treatment effectiveness algorithm (high adherence, no dose increase, no new conventional synthetic disease-modifying anti-rheumatic drug, no subsequent switch in therapy, no new/increased oral glucocorticoids, and <2 glucocorticoid injections). Multivariable logistic models were used to adjust for baseline factors.

Results: The database included 581 new MOA switchers and 935 TNFi cyclers. New MOA switchers were 39% more likely than TNFi cyclers to persist after the switch (odds ratio [OR]?=?1.39; 95% confidence interval [CI]?=?1.12–1.74; p?=?.003) and 36% less likely to switch therapy again (OR?=?0.64; 95% CI?=?0.51–0.81; p?p?=?.006). New MOA switchers had 16% lower drug costs than TNFi cyclers (cost ratio?=?0.84; 95% CI?=?0.79–0.88; p?p?Limitations: Claims payments may not reflect rebates or other cost offsets. Medical and pharmacy claims do not include clinical end-points or reasons that lead to new MOA switching vs TNFi cycling.

Conclusions: These results support switching to a new MOA after a patient fails treatment with a TNFi, which is consistent with recent guidelines for the pharmacologic management of established rheumatoid arthritis.     

A comparison of treatment patterns,healthcare resource utilization,and costs among young adult Medicaid beneficiaries with schizophrenia treated with paliperidone palmitate or oral atypical antipsychotics in the US

Abstract

Background: Much of the burden associated with schizophrenia is attributed to its early onset and chronic nature. Treatment with once monthly paliperidone palmitate (PP1M) is associated with lower healthcare utilization and better adherence as compared to oral atypical antipsychotics (OAAs). This study aimed to evaluate real-world effectiveness of PP1M and OAA therapies among US-based adult Medicaid patients with schizophrenia, overall and among young adults aged 18–35 years.

Methods: Adult patients with a diagnosis of schizophrenia and at least two claims for PP1M or OAA between January 1, 2010 and December 31, 2014 were selected from the IBM Watson Health MarketScan Medicaid Database. Treatment patterns and healthcare resource utilization and costs were compared between PP1M and OAA treatment groups following inverse probability of treatment (IPT) weighting to adjust for potential differences. Utilization and cost outcomes were estimated using OLS and weighted Poisson regression models.

Results: After IPT weighting, the young adult PP1M and OAA cohorts were comprised of 3,095 and 3,155 patients, respectively. PP1M patients had a higher duration of continuous treatment exposure (168.2 vs 132.5 days, p?=?.004) and better adherence on the index medication (proportion of days covered ≥80%: 19.0% vs 17.1%, p?<?.049). Young adults treated with PP1M were 37% less likely to have an all-cause inpatient admission (odds ratio [OR]?=?0.63, 95% confidence interval [CI]?=?0.53–0.74) and 33% less likely to have an ER visit (OR?=?0.67, 95% CI?=?0.55–0.81) compared to OAA young adult patients, but 27% more likely to have an all-cause outpatient office visit (OR?=?1.27, 95% CI?=?1.02–1.56). PP1M patients incurred significantly lower medical costs as compared to OAA patients.

Conclusions: Medicaid patients with schizophrenia treated with PP1M have higher medication adherence and have fewer hospitalizations as compared to patients treated with OAAs. PP1M may lead to reduced healthcare utilization and improved clinical outcomes.     

Major bleeding risk and healthcare economic outcomes of non-valvular atrial fibrillation patients newly-initiated with oral anticoagulant therapy in the real-world setting

Aims: This study compared the risk for major bleeding (MB) and healthcare economic outcomes of patients with non-valvular atrial fibrillation (NVAF) after initiating treatment with apixaban vs rivaroxaban, dabigatran, or warfarin.

Methods: NVAF patients who initiated apixaban, rivaroxaban, dabigatran, or warfarin were identified from the IMS Pharmetrics Plus database (January 1, 2013–September 30, 2015). Propensity score matching (PSM) was used to balance differences in patient characteristics between study cohorts: patients treated with apixaban vs rivaroxaban, apixaban vs dabigatran, and apixaban vs warfarin. Risk of hospitalization and healthcare costs (all-cause and MB-related) were compared between matched cohorts during the follow-up.

Results: During the follow-up, risks for all-cause (hazard ratio [HR]?=?1.44, 95% confidence interval [CI]?=?1.2–1.7) and MB-related (HR?=?1.57, 95% CI?=?1.0–2.4) hospitalizations were significantly greater for patients treated with rivaroxaban vs apixaban. Adjusted total all-cause healthcare costs were significantly lower for patients treated with apixaban vs rivaroxaban ($3,950 vs $4,333 per patient per month [PPPM], p?=?.002) and MB-related medical costs were not statistically significantly different ($100 vs $233 PPPM, p?=?.096). Risk for all-cause hospitalization (HR?=?1.98, 95% CI?=?1.6–2.4) was significantly greater for patients treated with dabigatran vs apixaban, although total all-cause healthcare costs were not statistically different. Risks for all-cause (HR?=?2.22, 95% CI?=?1.9–2.5) and MB-related (HR?=?2.05, 95% CI?=?1.4–3.0) hospitalizations were significantly greater for patients treated with warfarin vs apixaban. Total all-cause healthcare costs ($3,919 vs $4,177 PPPM, p?=?.025) and MB-related medical costs ($96 vs $212 PPPM, p?=?.026) were significantly lower for patients treated with apixaban vs warfarin.

Limitations: This retrospective database analysis does not establish causation.

Conclusions: In the real-world setting, compared with rivaroxaban and warfarin, apixaban is associated with reduced risk of hospitalization and lower healthcare costs. Compared with dabigatran, apixaban is associated with lower risk of hospitalizations.     

Subcutaneous vs intravenous rituximab in patients with non-Hodgkin lymphoma: a time and motion study in the United Kingdom

Objective:

Rituximab is part of standard therapy for many non-Hodgkin lymphoma (NHL) patients, and is usually administered as an intravenous (IV) infusion. A formulation for subcutaneous (SC) injection will be available from June 2014. A time and motion study was conducted to investigate the staff time and costs associated with administration of SC and IV rituximab.

Research design and methods:

The time and motion study was conducted in three UK centers alongside a phase III trial of SC rituximab in patients with NHL (ClinicalTrials.gov identifier NCT01461928). Active healthcare professional (HCP) time spent on the preparation and administration of IV and SC rituximab was recorded and used to calculate the associated costs.

Results:

Total active HCP time associated with administration of IV rituximab was 223.3?min (95% CI?=?218.0–228.7), vs 48.5?min (95% CI?=?45.5–51.6) for SC rituximab, a saving of 174.8?min (95% CI?=?172.5–177.1) per session. Patient time in the treatment room was 263.8?min (95% CI?=?236.6–294.3) for IV rituximab and 70.0?min (95% CI?=?57.1–87.2) for SC rituximab, per session. The SC formulation reduced total mean staff costs by £115.17 (95% CI?=?98.95–136.93) per session. Differing monitoring scenarios during infusion consistently showed time and cost savings for SC rituximab.

Limitations:

Study limitations include the non-interventional design and lack of statistical power, and the investigational nature of SC rituximab. The data collected did not account for patient and center characteristics and variability on active HCP time.

Conclusions:

SC rituximab was associated with reduced active HCP time and costs vs IV rituximab, as well as reduced patient time in the treatment room. Switching from IV to SC rituximab could increase treatment room capacity and patient throughput, as well as improving the patient experience.     

Using observational analysis of multiple sclerosis relapse to design outcomes-based contracts for disease-modifying drugs: a feasibility assessment

Abstract

Objective:

To assess predictors and costs of multiple sclerosis (MS) relapse, a potential outcome measure in payer-manufacturer risk-sharing agreements for disease-modifying drugs (DMDs).

Methods:

A retrospective cohort analysis of medical/pharmacy claims was used. Study patients had ≥1 DMD (interferon beta, glatiramer, natalizumab) claim, without DMD claims in a 6-month pre-period before DMD initiation; were aged 18–64 years and continuously enrolled from the pre-period through a 24-month post-period; and had ≥2 MS medical claims during the 30-month study period. Post-period relapse cohorts included: (1) severe (hospitalization with MS diagnosis); (2) moderate (outpatient services including intravenous methylprednisolone); and (3) none. Poisson regression modeled severe relapse frequency, logistic regression modeled ≥1 severe relapse, and generalized linear modeling predicted healthcare costs. Tested predictors included demographics, insurance type, index DMD, pre-period health status, and DMD medication possession ratio (MPR).

Results:

Severe relapse was experienced by 14.5% and moderate relapse by 13.8% of 2291 patients. In logistic regression, severe relapse was predicted by plan type; age (odds ratio [OR]?=?1.018, 95% confidence interval [CI]?=?1.005–1.031); pre-period Charlson Comorbidity Index (OR?=?1.307, 95% CI?=?1.166–1.464); pre-period proxy measure indicating impaired activities of daily living (OR?=?1.470, 95% CI?=?1.134–1.905); pre-period MS hospitalization (OR?=?2.174, 95% CI?=?1.537–3.074); and DMD non-adherence (MPR OR?=?0.101, 95% CI?=?0.068–0.151). Poisson regression results were similar. Predicted mean [standard deviation] all-cause healthcare expenditures were tripled for patients with severe compared with moderate relapse ($48,173 [$8665] and $13,334 [$1929], respectively).

Limitations:

Commercially insured patients from a single payer; use may have been inconsistent with approved indications; proxy relapse measure may have misclassified patients.

Conclusions:

Severe MS relapses requiring hospitalization, although affecting less than 15% of patients initiating DMD treatment, are associated with high medical costs. The only actionable predictor of severe relapse identified in observational analysis was MPR, raising questions about the feasibility of using observational data to guide outcomes-based contracting.     

Time spent on erythropoietin stimulating agents administration in hemodialysis centers in Panama: a time and motion study

Objectives: There is a lack of data in Panama on the potential differences in total healthcare professional (HCP) time between routine administrations of short-acting erythropoietin simulating agents (ESAs) (i.e. epoetin alfa) and continuous erythropoietin receptor activator (CERA) (i.e. methoxy polyethylene glycol–epoetin beta). This study aimed to quantify the HCP time associated with a single administration of epoetin alfa and CERA for the treatment of anemic patients with chronic kidney disease (CKD) on hemodialysis.

Methods: This was a multi-center, cross-sectional study, using a time-and-motion methodology. Costs related to HCP time and consumables usage associated with administration of epoetin alfa and CERA were estimated.

Results: Based on 60 administrations of either CERA or epoetin alfa, the estimated savings in mean total active HCP time were 2.34 (95% confidence interval?=?1.87–2.81) min (–30%) per administration. When extrapolating to a full year’s treatment with intravenous ESA, it would require a total of 20.3 (95% CI?=?19.90–20.71) h of HCP time for epoetin alfa vs 1.1 (95% CI?=?1.01–1.19) h for CERA per patient per year. Estimated savings in active HCP time per patient per year were 19.20 (95% CI?=?19.20–19.21) h (–95%). This, in turn, translates into staff cost efficiency that favors Mircera with an estimated annual saving of $78.24 (95% CI?=?78.24–78.28) (–95%) per patient.

Conclusions: Data from a real-world setting showed that the adoption of CERA could potentially lead to a reduction in active HCP time.

• Highlights

• Few comparative data have explored the costs and potential savings of using long-acting erythropoietin–stimulating agents (ESA) instead of short-acting ESAs to treat anemia in CKD patients on hemodialysis.

• This time-and-motion study shows that use of CERA reduces total healthcare professional time and could represent a save for an institution in a real-world setting in Panama.

     

Quality-adjusted survival with combination nab-paclitaxel + gemcitabine vs gemcitabine alone in metastatic pancreatic cancer: a Q-TWiST analysis

Objectives:

To use the Quality-Adjusted Time Without Symptoms or Toxicities (Q-TWiST) methodology to compare the quality-of-life and survival benefits associated with the combination of albumin-bound (nab)-paclitaxel and gemcitabine vs gemcitabine alone in the first-line treatment of metastatic pancreatic adenocarcinoma.

Methods:

Total survival time through 45 months was partitioned into time before disease progression without toxicity grade ≥3 (TWiST), time with adverse event grade ≥3 (TOX), and time of disease progression (REL). Mean Q-TWiST was calculated by multiplying time spent in each health state by its respective utility (i.e., TWiST?=?1.00; TOX/REL?=?0.50, 0–1 in sensitivity analyses). Non-parametric bootstrap 95% confidence intervals (CI) were derived to assess the significance of between-treatment differences in TOX, TWiST, REL, and Q-TWiST. A relative gain in Q-TWiST (vs mean overall survival of gemcitabine) of ≥10% and ≥15% was defined as clinically important and clearly clinically important, respectively.

Results:

Patients on nab-paclitaxel?+?gemcitabine spent a significantly longer time in every state and experienced significantly greater overall Q-TWiST (+1.7 months [95% CI?=?0.8, 2.7]) than those receiving gemcitabine alone (8.2 months [95% CI?=?7.5, 8.9] vs 6.5 months [95% CI?=?5.8, 7.0]), assuming base-case utilities of TOX/REL?=?0.50. This Q-TWiST gain ranged from 1.0 month (95% CI?=?0.1, 1.9), when REL/TOX utilities were both 0, to 2.5 months (95% CI?=?1.3, 3.7), when REL/TOX utilities were both 1. Relative gains in Q-TWiST were 21% in favor of nab-paclitaxel?+?gemcitabine in the base case, and ranged from 12–30% in sensitivity analyses.

Conclusions:

There are limitations to Q-TWiST analyses, e.g., imprecision when defining duration/severity of TOX and lack of prospective collection of utilities. This analysis addressed these issues via sensitivity analyses and conservative assumptions to show that nab-paclitaxel?+?gemcitabine results in statistically significant and clinically important gains in quality-adjusted survival, when compared to gemcitabine alone, in treatment-naive metastatic pancreatic adenocarcinoma patients.     

Costs associated with adverse events in patients with metastatic renal cell carcinoma

Objective:

To estimate adverse event (AE) costs in patients receiving targeted therapies for the first line treatment of metastatic renal cell carcinoma (mRCC).

Methods:

Retrospective study based on healthcare claims data for patients with mRCC, aged ≥18 years, receiving first-line treatment with targeted therapies. AEs of interest comprised of abdominal pain, back pain, diarrhea, dyspnea, extremity pain, fatigue/asthenia, hand-foot syndrome, hypertension, lymphopenia, nausea/vomiting, neutropenia, proteinuria, and thrombocytopenia. Healthcare encounters for AEs were based on ICD-9-CM diagnosis/procedure codes on healthcare claims. AE costs were examined over a 30-day period, beginning with the date of first mention of AE, and were estimated based on the difference in total costs between patients with and without events. Drug costs of targeted agents were excluded from the analysis. Multivariate generalized linear models with a log-link function and gamma response probability distribution were utilized to control for differences in baseline characteristics between patients with and without evidence of AEs.

Results:

A total of 533 patients were included in this analysis: 418 patients with AE and 115 patients without AE. Baseline characteristics were generally similar between patients in the two groups. The GLM-based estimate of incremental 30-day post-event costs among patients with evidence of any adverse events was $9807 (95% CI?=?$4386–$22,947). For all types of adverse events examined, the estimated difference in costs between evented and non-evented patients was positive; the 95% CI did not include zero for all of the adverse events considered, except hypertension and proteinurea. Study limitations include errors of commission/omission, especially as they may affect case-finding methods that rely on ICD-9-CM diagnosis and procedure codes, as was the case in the current study.

Conclusion:

Costs associated with AEs of first-line targeted therapies are substantial in patients with mRCC. Efforts to prevent and/or better manage these events may reduce overall healthcare costs.     

Adherence to iron chelation therapy and associated healthcare resource utilization and costs in Medicaid patients with sickle cell disease and thalassemia

Background:

Sub-optimal patient adherence to iron chelation therapy (ICT) may impact patient outcomes and increase cost of care. This study evaluated the economic burden of ICT non-adherence in patients with sickle cell disease (SCD) or thalassemia.

Methods:

Patients with SCD or thalassemia were identified from six state Medicaid programs (1997–2013). Adherence was estimated using the medication possession ratio (MPR) of ≥0.80. All-cause and disease-specific resource utilization per-patient-per-month (PPPM) was assessed and compared between adherent and non-adherent patients using adjusted incidence rate ratios (aIRR). All-cause and disease-specific healthcare costs were computed using mean cost PPPM. Regression models adjusting for baseline characteristics were used to compare adherent and non-adherent patients.

Results:

A total of 728 eligible patients treated with ICT in the SCD cohort, 461 (63%) adherent, and 218 in the thalassemia cohort, 137 (63%) adherent, were included in this study. In SCD patients, the adjusted rate of all-cause outpatient visits PPPM was higher in adherent patients vs non-adherent patients (aIRR [95% CI]: 1.05 [1.01–1.08], p?<?0.0001). Conversely, adherent patients incurred fewer all-cause inpatients visits (0.87 [0.81–0.94], p?<?0.001) and ER visits (0.86 [0.78–0.93], p?<?0.001). Similar trends were observed in SCD-related resource utilization rates and in thalassemia patients. Total all-cause costs were similar between adherent and non-adherent patients, but inpatient costs (adjusted cost difference?=??$1530 PPPM, p?=?0.0360) were lower in adherent patients.

Conclusion:

Patients adherent to ICT had less acute care need and lower inpatient costs than non-adherent patients, although they had more outpatient visits. Improved adherence may be linked to better disease monitoring and has the potential to avoid important downstream costs associated with acute care visits and reduce the financial burden on health programs and managed care plans treating SCD and thalassemia patients.     

Cost-effectiveness of distributing naloxone to heroin users for lay overdose reversal in Russian cities

Abstract

Objective:

To evaluate the cost-effectiveness of distributing naloxone to illicit opioid users for lay overdose reversal in Russian cities.

Method:

This study adapted an integrated Markov and decision analytic model to Russian cities. The model took a lifetime, societal perspective, relied on published literature, and was calibrated to epidemiologic findings.

Results:

For each 20% of heroin users reached with naloxone distribution, the model predicted a 13.4% reduction in overdose deaths in the first 5 years and 7.6% over a lifetime; on probabilistic analysis, one death would be prevented for every 89 naloxone kits distributed (95% CI?=?32–260). Naloxone distribution was cost-effective in all deterministic and probabilistic sensitivity analyses and cost-saving if resulting in a reduction in overdose events. Naloxone distribution increased costs by US$13 (95% CI?=?US$3–US$32) and QALYs by 0.137 (95% CI?=?0.022–0.389) for an incremental cost of US$94 per QALY gained (95% CI?=?US$40–US$325). In a worst-case scenario where overdose was rarely witnessed and naloxone was rarely used, minimally effective, and expensive, the incremental cost was US$1987 per QALY gained. If national expenditures on drug-related HIV, tuberculosis, and criminal justice were applied to heroin users, the incremental cost was US$928 per QALY gained.

Conclusions:

Naloxone distribution to heroin users for lay overdose reversal is highly likely to reduce overdose deaths in target communities and is robustly cost-effective, even within the constraints of this conservative model.