Association between glycemic control and short-term healthcare costs among commercially insured diabetes patients in the United States

Abstract

Objectives:

Glycemic control, measured by HbA_1c, is well known to be a risk marker for long-term costly diabetes-related complications. The relationship between HbA_1c and short-term costs is unclear. This study investigates how HbA_1c is correlated to short-term diabetes-related medical expenses.

Methods:

Patients with diabetes with an HbA_1c reading ≥6% between April and September 2007 were identified from a large US managed-care organization. Healthcare utilization data was obtained during the subsequent 12-month period. Multivariate analyses were performed to estimate the correlation between HbA_1c and diabetes-related healthcare costs.

Results:

In all, 34,469 and 1,837 patients with type 2 and type 1 diabetes, respectively, were identified with an HbA_1c reading ≥6% (mean HbA_1c: 7.4% and 7.9%). The majority of patients with type 1 diabetes were treated with insulin, while most patients with type 2 diabetes were treated with metformin. The multivariate analysis showed that several characteristics, including HbA_1c, significantly correlate with diabetes-related medical costs for both patients with type 1 and type 2 diabetes. A 1-percentage-point increase in HbA_1c will, on average, lead to a 6.0% and 4.4% increase in diabetes-related medical costs for type 1 and type 2 diabetes, respectively. This corresponds to an annual cost increase of $445 and $250 for patients with type 1 and type 2 diabetes, respectively.

Limitations:

Retrospective data analyses inherently associated with selection bias which can only partly be adjusted by statistical techniques. Furthermore, the study population is not necessarily representative of the general population and there can be isolated coding or data errors in the dataset.

Conclusions:

These results suggest that tighter glycemic control is associated with short-term cost benefits for patients with diabetes. This supplements conventional wisdom that HbA_1c affects risk of long-term complications and long-term costs.     

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.     

Association between glycemic control and short-term healthcare costs among commercially insured diabetes patients in the United States

Abstract Objectives: Glycemic control, measured by HbA(1c), is well known to be a risk marker for long-term costly diabetes-related complications. The relationship between HbA(1c) and short-term costs is unclear. This study investigates how HbA(1c) is correlated to short-term diabetes-related medical expenses. Methods: Patients with diabetes with an HbA(1c) reading ≥6% between April and September 2007 were identified from a large US managed-care organization. Healthcare utilization data was obtained during the subsequent 12-month period. Multivariate analyses were performed to estimate the correlation between HbA(1c) and diabetes-related healthcare costs. Results: In all, 34,469 and 1,837 patients with type 2 and type 1 diabetes, respectively, were identified with an HbA(1c) reading ≥6% (mean HbA(1c): 7.4% and 7.9%). The majority of patients with type 1 diabetes were treated with insulin, while most patients with type 2 diabetes were treated with metformin. The multivariate analysis showed that several characteristics, including HbA(1c), significantly correlate with diabetes-related medical costs for both patients with type 1 and type 2 diabetes. A 1-percentage-point increase in HbA(1c) will, on average, lead to a 6.0% and 4.4% increase in diabetes-related medical costs for type 1 and type 2 diabetes, respectively. This corresponds to an annual cost increase of $445 and $250 for patients with type 1 and type 2 diabetes, respectively. Limitations: Retrospective data analyses inherently associated with selection bias which can only partly be adjusted by statistical techniques. Furthermore, the study population is not necessarily representative of the general population and there can be isolated coding or data errors in the dataset. Conclusions: These results suggest that tighter glycemic control is associated with short-term cost benefits for patients with diabetes. This supplements conventional wisdom that HbA(1c) affects risk of long-term complications and long-term costs.     

Predictors of glycemic control and diabetes-related costs among type 2 diabetes patients initiating therapy with liraglutide in the United States

Objective:

Liraglutide has been shown to significantly improve glycemic control and reduce body weight while minimizing the risk of hypoglycemia in adult patients with type 2 diabetes (T2D). This study aimed to identify characteristics that predict clinical and economic outcomes associated with liraglutide therapy in clinical practice in the US.

Methods:

Using the Truven Health MarketScan Laboratory Database, glycemic control (A1C <7%) and diabetes-related costs were evaluated in T2D patients initiating liraglutide between January 1, 2010 and June 30, 2012. Patients were required to have ≥1 post-index claim for liraglutide and A1C values at baseline and 6 months follow-up. All valid values of baseline A1C were included. Patients previously treated with GLP-1 receptor agonist(s) or insulin, or with evidence of type 1 diabetes, pregnancy, or gestational diabetes during the study period were excluded. Multivariable regression models were used to identify predictors of glycemic control and diabetes-related costs.

Results:

Of 417 patients newly treated with liraglutide, 54.0% achieved glycemic control (A1C <7%) during follow-up. Factors associated with increased odds of glycemic control during follow-up were: being female, POS/EPO health plan type, baseline A1C, early liraglutide initiation (0–1 prior oral anti diabetics [OADs] vs ≥2), adherence to liraglutide (defined as the proportion of days covered [PDC]), and diabetic retinopathy. Being female, earlier liraglutide initiation (0–1 prior OADs), and higher patient share of liraglutide costs were associated with significantly lower diabetes-related costs during follow-up. Factors associated with significantly higher post-index diabetes-related costs were: higher baseline A1C, baseline use of sulfonylureas, and diabetic retinopathy.

Conclusions:

Within this commercially-insured population of T2D patients treated with liraglutide, gender, baseline A1C, early liraglutide initiation (0–1 prior OADs), diabetic retinopathy, better adherence, and patient share of liraglutide costs were associated with increased odds of achieving glycemic control and the odds of having higher or lower diabetes-related costs.     

Healthcare resource utilization and costs in patients with newly diagnosed acute myeloid leukemia

Abstract

Aim: Acute myeloid leukemia (AML) is associated with high disease burden. This analysis estimated HRU and costs among newly diagnosed AML patients in a US commercially insured population.

Materials and methods: This was a retrospective observational study using the IMS Health PharMetrics Plus and Hospital Charge Detail Master databases. Patients included adults who were newly diagnosed with AML between January 2007 and June 2016 (“study period”). Patients with <12 months of continuous enrollment prior to the index date were excluded, as were those whose first diagnosis was AML in remission/relapse, those diagnosed with acute promyelocytic leukemia, those on Medicare supplemental insurance, or those with a diagnosis of AML in remission/relapse without evidence of treatment during the study period. Patients were stratified by receipt of AML treatment (chemotherapy/hematopoietic cell transplantation [HCT]), and their follow-up was partitioned into initial, remission, and relapsed health states. Mean HRU and costs were tallied by treatment and, for treated patients, by health state and time since entry into health state (≤6 vs >6 months).

Results: A total of 9,455 patients met study criteria, including 6,415 (68%) treated and 3,040 (32%) untreated patients, with mean follow-up of 18.3 and 16.4 months, respectively. Mean age was 55 years in treated patients and 60 years in untreated patients. Mean total costs per patient were $386,077 in treated patients and $79,382 in untreated patients. For treated patients, 60% of total costs ($231,867 per patient) were incurred during the initial health state, representing time without remission/relapse. Mean monthly total healthcare costs were $21,055 and $4,854 among treated and untreated patients, respectively.

Limitations and conclusions: HRU and costs of managing AML patients are substantial. In treated patients, the majority of costs were incurred during the initial treatment period, without claims indicating remission/relapse.     

Healthcare utilization and costs associated with treatment for opioid dependence

Objective: Opioid use disorder (OUD) can be managed with medication assisted therapy (MAT) (methadone [MET], buprenorphine [BUP], or extended-release naltrexone [XR-NTX]) or counseling alone (non-pharmacological therapy [NPT]). The objective of this study was to evaluate healthcare resource utilization and costs associated with XR-NTX compared with alternative treatments for opioid dependence.

Methods: Adults with a diagnosis of opioid dependence who initiated treatment with XR-NTX, BUP, MET, or NPT between January 1, 2011 and December 31, 2014 were identified in the Truven Health MarketScan Commercial administrative claims database. Healthcare resource utilization, costs (inpatient [IP], emergency department [ED], outpatient [OP], and pharmacy) and adherence were evaluated for each cohort during 12-month baseline and follow-up periods.

Results: A total of 29,235 patients were included in the analysis; 1,041, 20,566, 745, and 6,883 received XR-NTX, BUP, MET, and NPT, respectively. Patients in the XR-NTX cohort were significantly younger and had more comorbidities compared with the other cohorts. Patients in the XR-NTX group had the largest percentage decrease in IP and ED utilization and costs from baseline to follow-up. OP and pharmacy costs increased significantly from baseline to follow-up for all cohorts. Overall, there was no significant change in total healthcare costs for the XR-NTX group, whereas the costs increased significantly for other groups (BUP?=?+43%, MET?=?+47.7%, NPT?=?+38.8%).

Conclusions: Healthcare resource utilization and costs increased from baseline to follow-up in BUP, MET, and NPT patients, whereas patients receiving XR-NTX experienced no such increase. This analysis suggests there may be economic value in the use of XR-NTX for OUD.     

Healthcare resource utilization and costs associated with venous thromboembolism recurrence in patients with cancer

Abstract

Objective: Patients with cancer are at high risk for developing primary but also recurrent venous thromboembolism (VTE). This study examined healthcare utilization (HRU) and costs related to VTE recurrence among cancer patients.

Methods: Medical and pharmacy claims from the Humana Database were used to compare HRU (outpatient visits, emergency room visits, hospitalizations, and hospitalization days) and healthcare costs among cancer patients with a single VTE event (between 01/2013 and 06/2015) and those with recurrent VTE during the follow-up period (from initiation of anticoagulant therapy until end of eligibility or data availability). All-cause and VTE-related HRU and costs were evaluated using Poisson regression, and healthcare costs were compared using mean differences reported as per-patient-per-year (PPPY).

Results: Of 2,428 newly diagnosed cancer patients who developed VTE, 413 (17.1%) experienced recurrent VTE during the follow-up period (mean = 9 months). Patients with recurrent VTE had higher all-cause and VTE-related HRU and costs compared to those without recurrence. Patients with recurrent VTE also had over 3.19-times more VTE-related hospitalizations (RR [95% CI]?=?3.19 [2.93–3.47]), and 3.88-times more VTE-related hospitalization days (RR [95% CI]?=?3.88 [3.74–4.02]) than patients without a VTE recurrence. Total VTE-related healthcare costs were $39,641 PPPY among patients with recurrent VTE, $29,142 higher compared to those without recurrence ($10,499 PPPY). This difference was mainly driven by hospitalization costs.

Conclusion: Recurrent VTE among cancer patients is associated with significant HRU and healthcare costs, notably hospitalizations. Strategies to reduce VTE recurrence in patients with cancer can contribute to reducing healthcare cost.     

Predictors of government subsidized pharmaceutical use in patients with diabetes or cardiovascular disease in a primary care setting: evidence from a prospective randomized trial

Abstract

Objectives:

This study uses data from a prospective randomized controlled trial to estimate predictors of pharmaceutical expenditure in diabetes (DM) or cardiovascular disease (CVD) patients. Identifying drivers of pharmaceutical use and the extent to which they are modifiable may inform cost-effective policy-making.

Methods:

The trial followed 260 patients aged >18 years (mean 68) from three general practices for 12 months. Patients had type 2 diabetes (90 patients) or cardiovascular disease (170 patients). Costs for pharmaceuticals prescribed on the Pharmaceutical Benefits Scheme (PBS) were obtained retrospectively at 12 months. Sociodemographic data and health-related quality-of-life (QoL) were recorded from questionnaires. Clinical measures (including body mass index (BMI), blood pressure, high and low density lipoprotein (LDL), and HbA1c) were also collected.

Results:

Mean pharmaceutical costs for DM patients (AU$4119) was greater than CVD patients (AU$2424). The largest contributor to costs in both groups was pharmaceuticals used for management of conditions other than CVD or DM. QoL (EQ5D) and BMI were significant predictors of costs in both groups. A history of cardiac events, HbA1c, age, and unemployment were significant predictors of costs in the DM group. A diagnosis of heart failure, frequency of hospital admissions, and LDL levels were significant predictors of costs in the CVD group. Roughly one third of total variation of costs can be explained by the regressors in both models.

Limitations:

Generalizability will be limited as data was derived from a trial and the study was not powered for this post-hoc analysis. Missing data imputation and self-reporting bias may also impact on results.

Conclusions:

Factors such as QoL BMI, HbA1c levels, and a history of cardiac events are significant predictors of costs. The results suggest there may be a place for interventions that improve quality-of-life and concurrently reduce pharmaceutical costs in patients with CVD or DM.     

Healthcare resource utilization and costs among psoriasis patients treated with biologics,overall and by disease severity

Aims: To describe healthcare resource utilization (HCRU) and costs among biologic-treated psoriasis patients in the US, overall and by disease severity.

Materials and methods: IQVIA PharMetrics Plus administrative claims data were linked with Modernizing Medicine Data Services Electronic Health Record data and used to select adult psoriasis patients between April 1, 2010 and December 31, 2014. Eligible patients were classified by disease severity (mild, moderate, severe) using a hierarchy of available clinical measures. One-year outcomes included all-cause and psoriasis-related outpatient, emergency department, inpatient, and pharmacy HCRU and costs.

Results: This study identified 2,130 biologic-treated psoriasis patients: 282 (13%) had mild, 116 (5%) moderate, and 49 (2%) severe disease; 1,683 (79%) could not be classified. The mean age was 47.6 years; 45.4% were female. Relative to mild psoriasis patients, patients with moderate or severe disease had more median all-cause outpatient encounters (28.0 [mild] vs 32.0 [moderate], 36.0 [severe]), more median psoriasis-related outpatient encounters (6.0 [mild] vs 7.5 [moderate], 8.0 [severe]), and a higher proportion of overall claims for medications that were psoriasis-related (28% [mild] vs 37% [moderate], 34% [severe]). Relative to mild psoriasis patients, patients with moderate or severe disease had higher median all-cause total costs ($37.7k [mild] vs $42.3k [moderate], $49.3k [severe]), higher median psoriasis-related total costs ($32.7k [mild] vs $34.9k [moderate], $40.5k [severe]), higher median all-cause pharmacy costs ($33.9k [mild] vs $36.5k [moderate], $36.4k [severe]), and higher median psoriasis-related pharmacy costs ($32.2k [mild] vs $33.9k [moderate], $35.6k [severe]).

Limitations: The assessment of psoriasis disease severity may not have necessarily coincided with the timing of biologic use. The definition of disease severity prevented the assessment of temporality, and may have introduced selection bias.

Conclusions: Biologic-treated patients with moderate or severe psoriasis cost the healthcare system more than patients with mild psoriasis, primarily driven by higher pharmacy costs and more outpatient encounters.     

Retrospective study comparing healthcare costs and utilization between commercially insured patients with type 2 diabetes mellitus who are newly initiating exenatide once weekly or liraglutide in the United States

Abstract

Objective:

To compare healthcare costs and utilization between commercially insured patients with type 2 diabetes mellitus (T2DM) in the United States newly initiating exenatide once weekly (QW) or liraglutide.     

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.     

Economic simulation of canagliflozin and sitagliptin treatment outcomes in patients with type 2 diabetes mellitus with inadequate glycemic control

Abstract

Objectives:

This study examines the association between changes in diabetes-related quality measures (QMs) (HbA1c, systolic and diastolic blood pressure [BP], low-density lipoprotein cholesterol [LDL-C], and body weight) and healthcare costs in Type 2 diabetes mellitus (T2DM) patients. It also performs an economic simulation that evaluates the cost implications of the changes in QMs and of the incidence rates (IRs) of adverse events (AEs) associated with canagliflozin (CANA) and sitagliptin (SITA) treatments in a real-world setting.

Methods:

Health-insurance claims and electronic medical records from the Reliant Medical Group database (2007–2011) were used to identify adult patients with T2DM receiving metformin and sulfonylurea who did not achieve adequate glycemic control. The association between the changes in QMs and healthcare costs was evaluated using multivariate regression and non-parametric bootstrap methods. AE-related costs were taken from the literature. The cost impact of CANA and SITA outcomes was evaluated using the aforementioned costs and the changes in QMs and the IRs of AEs observed in a recent phase 3 trial comparing CANA and SITA as third oral agent (DIA3015).

Results:

Eight hundred and fifty-six T2DM patients were identified (mean age?=?65.8; female 45.4%). The regression analysis found that increases of 1 percentage point in HbA1C and 1% in systolic and diastolic BP, LDL-C, or weight were associated with a per patient per year (PPPY) cost increase of $4476 (p?=?0.028) and $566 (p?=?0.006), a decrease of $362 (p?=?0.070) and $7 (p?=?0.817), and an increase of $241 (p?=?0.481), respectively. The economic simulation showed that changes in QMs and IRs of AEs equivalent to those reported in DIA3015 would be associated with a reduction in PPPY healthcare costs of $6061 (p?=?0.036) for CANA and $2190 (p?=?0.098) for SITA.

Conclusions:

This study suggests that integrated approaches that manage to control a combination of quality measures are most successful at reducing downstream healthcare costs.     

Cardiovascular event costs in patients with Type 2 diabetes mellitus

Abstract

Objective:

To quantify the cost of acute major adverse cardiac events (MACE; myocardial infarction [MI] and stroke) stratified by cardiovascular disease (CVD) risk factors in commercially, Medicare Supplemental-, and Medicaid-insured patients with type 2 diabetes mellitus (T2DM).     

Real-world annualized healthcare utilization and expenditures among insured US patients with acute intermittent porphyria (AIP) treated with hemin

Abstract

Background and aims: Patients with acute intermittent porphyria (AIP) may suffer from acute non-specific attacks that often result in hospitalizations or emergency room (ER) visits. Prior to the recent approval of givosiran (November 2019), hemin was the only FDA-approved therapy for AIP attacks in the US. Our aim was to estimate the annual healthcare utilization and expenditures for AIP patients treated with hemin using real-world data.

Methods: Patients with ≥1 hemin claim and confirmed AIP diagnosis – 1 inpatient claim or 2 outpatient claims ≥30 d apart for AIP (2015–2017) or acute porphyria (prior to 2015) – were identified in MarketScan administrative claims dataset between 2007 and 2017. Continuous enrolment for ≥6 months from confirmed diagnosis was required. A secondary analysis (“active disease population”) limited the sample to adult patients with ≥3 attacks or 10 months of prophylactic use of hemin within a 12-month pre-index period. AIP-related care was defined by hemin use during an attack (daily glucose and/or hemin use) or prophylaxis (non-attack hemin use). Outcomes were annualized and expenditures were inflated to 2017.

Results: Across 10 years, patients with a confirmed AIP diagnosis (N?=?8,877) and ≥1 hemin claim (N?=?164) were restricted by ≥6 months continuous follow-up (N?=?139). AIP patients were mostly female (N?=?112; 81%), had median age of 40 and 3 years average follow-up. Annualized average total expenditures for AIP-related care were $113,477. Annualized average all-cause (any diagnosis) hospitalizations were statistically significantly lower for patients treated with hemin prophylaxis vs. acute treatment (1.0 vs. 2.1; p?<?.001). In the secondary analysis (N?=?27), annualized average total expenditures for AIP-related care were higher ($187,480).

Conclusions: For AIP patients treated with hemin, patients treated for acute attacks may use a greater number of resources compared to patients treated prophylactically.     

Impact of heart failure on hospital activity and healthcare costs in Belgium

Summary

Heart failure (HF) is a serious public health problem worldwide. It has a high prevalence, affects mainly the elderly and causes high mortality or disability with high economic costs. The aim of the present study was to calculate the number of admissions for HF, the total in-hospital stay, the mean length of in-hospital stay and the in-hospital costs due to HF in Belgium.

Retrospective analysis of data from the national hospital registration system provided the following results. In 2001, there were 19,398 admissions with HF as a primary diagnosis, with a total in-hospital stay of 286,938 days. The mean in-hospital stay for HF was 14.8 days. The total in-hospital cost of HF as a primary diagnosis was € 94,113,827, representing 1.8% of the total hospital expenditure.

The limitations of this study are its mere focus on admissions and their characteristics in 2001, and the use of a retrospective analysis. Nevertheless, it led to the conclusion that HF was responsible for a significant number of in-hospital days, with a significant impact on healthcare costs in Belgium.