Assessing the economic burden of Alzheimer's disease patients first diagnosed by specialists.

BACKGROUND: It is not known if there is a differential impact on Alzheimer's disease (AD) diagnosis and outcomes if/when patients are diagnosed with cognitive decline by specialists versus non-specialists. This study examined the cost trajectories of Medicare beneficiaries initially diagnosed by specialists compared to similar patients who received their diagnosis in primary care settings. METHODS: Patients with ≥2 claims for AD were selected from de-identified administrative claims data for US Medicare beneficiaries (5 % random sample). The earliest observed diagnosis of cognitive decline served as the index date. Patients were required to have continuous Medicare coverage for ≥12 months pre-index (baseline) and ≥12 months following the first AD diagnosis, allowing for up to 3 years from index to AD diagnosis. Time from index date to AD diagnosis was compared between those diagnosed by specialists (i.e., neurologist, psychiatrist, or geriatrician) versus non-specialists using Kaplan-Meier analyses with log-rank tests. Patient demographics, Charlson Comorbidity Index (CCI) during baseline, and annual all-cause medical costs (reimbursed by Medicare) in baseline and follow-up periods were compared across propensity-score matched cohorts. RESULTS: Patients first diagnosed with cognitive decline by specialists (n = 2593) were younger (78.8 versus 80.8 years old), more likely to be male (40 % versus 34 %), and had higher CCI scores and higher medical costs at baseline than those diagnosed by non-specialists (n = 13,961). However, patients diagnosed by specialists had a significantly shorter time to AD diagnosis, both before and after matching (mean [after matching]: 3.5 versus 4.6 months, p < 0.0001). In addition, patients diagnosed by specialists had significantly lower average total all-cause medical costs in the first 12 months after their index date, a finding that persisted after matching ($19,824 versus $25,863, p < 0.0001). Total per-patient annual medical costs were similar for the two groups starting in the second year post-index. CONCLUSIONS: Before and after matching, patients diagnosed by a specialist had a shorter time to AD diagnosis and incurred lower costs in the year following the initial cognitive decline diagnosis. Differences in costs converged during subsequent years. This suggests that seeking care from specialists may yield more timely diagnosis, appropriate care and reduced costs among those with cognitive decline.

Medical costs of Alzheimer's disease misdiagnosis among US Medicare beneficiaries.

INTRODUCTION: Recent developments in diagnostic technology can support earlier, more accurate diagnosis of non-Alzheimer's disease (AD) dementias. METHODS: To evaluate potential economic benefits of early rule-out of AD, annual medical resource use and costs for Medicare beneficiaries potentially misdiagnosed with AD prior to their diagnosis of vascular dementia (VD) or Parkinson's disease (PD) were compared with that of similar patients never diagnosed with AD. RESULTS: Patients with prior AD diagnosis used substantially more medical services every year until their VD/PD diagnosis, resulting in incremental annual medical costs of approximately $9,500-$14,000. However, following their corrected diagnosis, medical costs converged with those of patients never diagnosed with AD. DISCUSSION: The observed correlation between timing of correct diagnosis and subsequent reversal in excess costs is strongly suggestive of the role of misdiagnosis of AD - rather than AD comorbidity - in this patient population. Our findings suggest potential benefits from earlier, accurate diagnosis.

Implications of early treatment among Medicaid patients with Alzheimer's disease.

OBJECTIVE: The objective of this study was to examine the effect of treatment timing on risk of institutionalization of Medicaid patients with Alzheimer's disease (AD) and to estimate the economic implications of earlier diagnosis and treatment initiation. METHODS: New Jersey Medicaid claims data (1997-2009) were used retrospectively to study the effect of treatment on time to institutionalization. Observed Medicaid payments were used to calculate savings from delayed institutionalization, adjusting for cost offsets resulting from concurrent changes in use of other medical services. RESULTS: Initiation of existing therapies at earliest symptomatic onset is predicted to delay institutionalization by 91 days, reducing Medicaid costs by $19,108/institutionalized patient. Incorporating an 18.5% cost offset from increased use of other medical services as well as drug costs associated with earlier treatment results in net savings of $12,687/patient. Projected annual Medicaid savings exceed $1 billion. CONCLUSION: Earlier treatment leads to a small delay in institutionalization among AD patients, resulting in significant costs savings to Medicaid.

Health Services Utilization Among Fee-for-Service Medicare and Medicaid Patients Under Age 65 with Behavioral Health Illness at an Urban Safety Net Hospital.

BACKGROUND: In 2011, fee-for-service patients with both Medicare and Medicaid (dual eligible) sustained $319.5 billion in health care costs. OBJECTIVE: To describe the emergency department (ED) use and hospital admissions of adult dual eligible patients aged under 65 years who used an urban safety net hospital. METHODS: This was a retrospective database analysis of patients aged between 18 and 65 years with Medicare and Medicaid, who used an urban safety net academic health center between January 1, 2011, and December 31, 2011. We compared patients with and without behavioral health illness. The main outcome measures were hospital admission and ED use. Chi-square and Wilcoxon rank-sum tests were used for descriptive statistics on categorical and continuous variables, respectively. Greedy propensity score matching was used to control for confounding factors. Rate ratios (RR) and 95% confidence intervals (CI) were determined after matching and after adjusting for those variables that remained significantly different after matching. RESULTS: In 2011, 10% of all fee-for-service dual eligible patients aged less than 65 years in Massachusetts were seen at Boston Medical Center. Data before propensity score matching showed significant differences in age, sex, race/ethnicity, marital status, education, employment, physical comorbidities, and Charlson Comorbidity Index score between patients with and without behavioral health illness. Analysis after propensity score matching found significant differences in sex, Hispanic race, and other education and employment status. Compared with patients without behavioral health illness, patients with behavioral health illness had a higher RR for hospital admissions (RR = 2.07; 95% CI = 1.81-2.38; P < 0.001) and ED use (RR = 1.61; 95% CI = 1.46-1.77; P < 0.001). Results were robust after adjusting for characteristics that remained statistically significantly different after propensity score matching. CONCLUSIONS: Adult dual eligible patients aged less than 65 years with behavioral health illness in the Medicaid fee-for-service plan had significantly higher rates of hospital admission and ED use compared with dual eligible patients without behavioral health illness at the largest urban safety net medical center in New England. Safety net hospitals care for a large proportion of dual eligible patients with behavioral health illness. Further research is needed to elucidate the systems-related and patient-centered factors contributing to the utilization behaviors of this patient population. DISCLOSURES: This research was funded in part by a National Research Service Award (T3HP10028-14-01). The authors have no conflicts of interests to disclose. Cancino had full access to all of the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis. Study concept and design were contributed by Cancino, Jack, and Burgess, with assistance from Cremieux. Cancino and Cremieux took the lead in data collection, along with Jack and Burgess, and data interpretation was performed by Jarvis, Cummings, and Cooper, along with the other authors. The manuscript was written primarily by Cancino, along with Jack and Burgess, and revised primarily by Cancino, along with the other authors.

Basal insulin persistence, associated factors, and outcomes after treatment initiation among people with type 2 diabetes mellitus in the US.

OBJECTIVE: To assess basal insulin persistence, associated factors, and economic outcomes for insulin-naïve people with type 2 diabetes mellitus (T2DM) in the US. RESEARCH DESIGN AND METHODS: People aged ≥18 years diagnosed with T2DM initiating basal insulin between April 2006 and March 2012 (index date), no prior insulin use, and continuous insurance coverage for 6 months before (baseline) and 24 months after index date (follow-up period) were selected using de-identified administrative claims data in the US. Based on whether there were ≥30 day gaps in basal insulin use in the first year post-index, patients were classified as continuers (no gap), interrupters (≥1 prescription after gap), and discontinuers (no prescription after gap). MAIN OUTCOME MEASURES: Factors associated with persistence - assessed using multinomial logistic regression model; annual healthcare resource use and costs during follow-up period - compared separately between continuers and interrupters, and continuers and discontinuers. RESULTS: Of the 19,110 people included in the sample (mean age: 59 years, ∼60% male), 20% continued to use basal insulin, 62% had ≥1 interruption, and 18% discontinued therapy in the year after initiation. Older age, multiple antihyperglycemic drug use, and injectable antihyperglycemic use during baseline were associated with significantly higher likelihoods of continuing basal insulin. Relative to interrupters and discontinuers, continuers had fewer emergency department visits, shorter hospital stays, and lower medical costs (continuers: $10,890, interrupters: $13,674, discontinuers: $13,021), but higher pharmacy costs (continuers: $7449, interrupters: $5239, discontinuers: $4857) in the first year post-index (p < 0.05 for all comparisons). Total healthcare costs were similar across the three cohorts. Findings for the second year post-index were similar. CONCLUSIONS: The majority of people in this study interrupted or discontinued basal insulin treatment in the year after initiation; and incurred higher medical resource use and costs than continuers. The findings are limited to the commercially insured population in the US. In addition, persistence patterns were assessed using administrative claims as opposed to actual medication-taking behavior and did not account for measures of glycemic control. Further research is needed to understand the reasons behind basal insulin persistence and the implications thereof, to help clinicians manage care for T2DM more effectively.

Economic outcomes among Medicare patients receiving bioengineered cellular technologies for treatment of diabetic foot ulcers.

OBJECTIVE: To assess the real-world medical services utilization and associated costs of Medicare patients with diabetic foot ulcers (DFUs) treated with Apligraf (bioengineered living cellular construct (BLCC)) or Dermagraft (human fibroblast-derived dermal substitute (HFDS)) compared with those receiving conventional care (CC). METHODS: DFU patients were selected from Medicare de-identified administrative claims using ICD-9-CM codes. The analysis followed an 'intent-to-treat' design, with cohorts assigned based on use of (1) BLCC, (2) HFDS, or (3) CC (i.e., ≥1 claim for a DFU-related treatment procedure or podiatrist visit and no evidence of skin substitute use) for treatment of DFU in 2006-2012. Propensity score models were used to separately match BLCC and HFDS patients to CC patients with similar baseline demographics, wound severity, and physician experience measures. Medical resource use, lower-limb amputation rates, and total healthcare costs (2012 USD; from payer perspective) during the 18 months following treatment initiation were compared among the resulting matched samples. RESULTS: Data for 502 matched BLCC-CC patient pairs and 222 matched HFDS-CC patient pairs were analyzed. Increased costs associated with outpatient service utilization relative to matched CC patients were offset by lower amputation rates (-27.6% BLCC, -22.2% HFDS), fewer days hospitalized (-33.3% BLCC, -42.4% HFDS), and fewer emergency department visits (-32.3% BLCC, -25.7% HFDS) among BLCC/HFDS patients. Consequently, BLCC and HFDS patients had per-patient average healthcare costs during the 18-month follow-up period that were lower than their respective matched CC counterparts (-$5253 BLCC, -$6991 HFDS). LIMITATIONS: Findings relied on accuracy of diagnosis and procedure codes contained in the claims data, and did not account for outcomes and costs beyond 18 months after treatment initiation. CONCLUSION: These findings suggest that use of BLCC and HFDS for treatment of DFU may lower overall medical costs through reduced utilization of costly healthcare services.

Burden of venous leg ulcers in the United States.

OBJECTIVE: To estimate the annual incremental per-patient and overall payer burden (2012USD) of venous leg ulcers (VLU) in the US. METHODS: Beneficiaries with and without VLU were identified using two de-identified insurance claims databases: aged 65+ from a 5% random sample of Medicare beneficiaries (2007-2010: n ∼ 2.3 million); and aged 18-64 from a privately-insured population (2007-2011: n ∼ 8.4 million). The index date was selected as the date of a VLU claim with no other VLU diagnoses in the preceding 12 months for the VLU cohort and as the date of a random medical claim for the non-VLU patients. These groups were matched using propensity scores to account for differences in demographics, comorbidities, resource utilization, and costs in the 12 month pre-index period. Medical resource use and costs incurred during the 12 month follow-up period were calculated for both payers. Drug costs and indirect work-loss due to disability and medically-related absenteeism were estimated for the privately-insured sample only. Annual VLU incidence rates were also estimated for both payers. RESULTS: Data for 58,672 matched VLU/non-VLU pairs of Medicare and 22,476 matched pairs of privately-insured patients were analyzed. Relative to matched non-VLU patients, VLU patients used more medical resources and incurred annual incremental medical costs of $6391 in Medicare ($18,986 vs $12,595), and $7030 ($13,653 vs $6623) in private insurance ($7086 including drug costs). Compared with non-VLU patients, privately-insured VLU patients had more days missed from work (14.0 vs 10.0), resulting in 29% higher work-loss costs (comparisons significant at p < 0.0001). The average annual incidence rate of VLU was 2.2% in Medicare and 0.5% in private insurance. LIMITATIONS: Findings did not account for out-of-pocket payments or other indirect costs (e.g., lost productivity), and relied on accuracy of diagnosis and procedure codes contained in claims data. CONCLUSION: These findings suggest an annual US payer burden of $14.9 billion.

Burden of diabetic foot ulcers for medicare and private insurers.

OBJECTIVE: To estimate the annual, per-patient incremental burden of diabetic foot ulcers (DFUs). RESEARCH DESIGN AND METHODS: DFU patients and non-DFU patients with diabetes (controls) were selected using two de-identified databases: ages 65+ years from a 5% random sample of Medicare beneficiaries (Standard Analytical Files, January 2007-December 2010) and ages 18-64 years from a privately insured population (OptumInsight, January 2007-September 2011). Demographics, comorbidities, resource use, and costs from the payer perspective incurred during the 12 months prior to a DFU episode were identified. DFU patients were matched to controls with similar pre-DFU characteristics using a propensity score methodology. Per-patient incremental clinical outcomes (e.g., amputation and medical resource utilization) and health care costs (2012 U.S. dollars) during the 12-month follow-up period were measured among the matched cohorts. RESULTS: Data for 27,878 matched pairs of Medicare and 4,536 matched pairs of privately insured patients were analyzed. During the 12-month follow-up period, DFU patients had more days hospitalized (+138.2% Medicare, +173.5% private), days requiring home health care (+85.4% Medicare, +230.0% private), emergency department visits (+40.6% Medicare, +109.0% private), and outpatient/physician office visits (+35.1% Medicare, +42.5% private) than matched controls. Among matched patients, 3.8% of Medicare and 5.0% of privately insured DFU patients received lower limb amputations. Increased utilization resulted in DFU patients having $11,710 in incremental annual health care costs for Medicare, and $16,883 for private insurance, compared with matched controls. Privately insured matched DFU patients incurred excess work-loss costs of $3,259. CONCLUSIONS: These findings document that DFU imposes substantial burden on public and private payers, ranging from $9-13 billion in addition to the costs associated with diabetes itself.

Estimating the costs of opioid abuse and dependence from an employer perspective: a retrospective analysis using administrative claims data.

BACKGROUND: Opioid abuse and dependence is problematic across many age groups, including the working-age population and their dependents. Little is known, however, about the economic costs of opioid abuse/dependence imposed on employers, who pay for a substantial portion of healthcare costs through their contributions to employer-sponsored health insurance and are also affected by indirect costs such as those due to disability and workplace absenteeism. OBJECTIVE: To provide a comprehensive, current estimate of the economic burden of prescription opioid abuse/dependence to employers. METHODS: Administrative claims from beneficiaries covered by large self-insured companies throughout the USA were used to identify patients, including employees and dependents, who were diagnosed with opioid abuse and/or dependence ('abusers') between 2006 and 2012. Healthcare and work-loss costs for abusers were assessed over a 12-month period and compared with those for patients not diagnosed with abuse ('comparison patients'), using propensity score matching. RESULTS: 7,658 matched pairs of abusers and comparison patients were analysed. Relative to comparison patients, abusers had significantly higher annual healthcare resource utilization, leading to US$10,627 in per-patient incremental annual healthcare costs. Additionally, abusers had US$1,244 in excess annual work-loss costs. Together, this implies an employer burden for diagnosed abuse of US$1.71 per member per month. CONCLUSION: Opioid abuse/dependence impose a substantial economic burden on employers.

The economic burden of diagnosed opioid abuse among commercially insured individuals.

The abuse of prescription opioids imposes a substantial public health and economic burden. Recent research using administrative claims data has substantiated the prevalence and cost of opioid abuse among commercially insured individuals. Although administrative claims data are readily available and have been used to effectively answer research questions about the burden of illness for many different conditions, an important issue is the reliability, replicability, and generalizability of estimates derived from different databases. Therefore, this study sought to assess whether the findings of a recently published study of opioid abuse in a commercial claims database (original analysis) could be replicated in a different commercial claims database. The original analysis, which analyzed the prevalence and excess health care costs of diagnosed opioid abuse in the OptumHealth Reporting and Insights Database, was replicated by applying the same approach to the Truven MarketScan Commercial Claims and Encounters Database (replication analysis). In the replication analysis, the prevalence of diagnosed opioid abuse increased steadily from 15.8 diagnosed opioid abusers per 10,000 in 2009, to 26.6 diagnosed opioid abusers per 10,000 in 2012. Although the prevalence of diagnosed opioid abuse was higher than reported in the original analysis, the trend of increasing prevalence over time was consistent across analyses. Additionally, diagnosed abusers had excess annual per patient health care costs of $11,376 in the replication analysis, which was consistent with the excess annual per patient health care costs of diagnosed abuse of $10,627 reported in the original analysis. The replication analysis also found an upward trend in the prevalence of diagnosed opioid abuse over time and substantial excess annual per patient health care costs of diagnosed opioid abuse among commercially insured individuals, suggesting that these findings are generalizable to other commercially insured populations.

Pre-diagnosis excess acute care costs in Alzheimer's patients among a US Medicaid population.

BACKGROUND AND OBJECTIVES: Prior research has documented that Alzheimer's disease (AD) is associated with increased costs from comorbid conditions. However, little is known about medical resource utilization and costs among AD patients prior to the onset of cognitive symptoms. This study estimates excess acute care costs among Medicaid AD patients in the year prior to diagnosis. STUDY DESIGN: Administrative claims data for New Jersey Medicaid patients over the period 1997-2010 were retrospectively analyzed. The study focused on non-institutionalized AD patients and examined their medical costs compared with matched controls with no dementia over the 12 months prior to their preliminary diagnosis. Costs reflect amounts reimbursed by Medicaid to medical service providers, reported in 2010 US dollars. RESULTS: The study sample included 11,536 AD patients who were matched to controls. Average age was 76 years, and 76.2 % were female. Compared with matched controls, total medical costs over the 12-month pre-index period were US$ 5,549 higher among AD patients (US$ 14,977 vs. US$ 9,428, p < 0.001), of which US$ 3,321 (p < 0.001) was due to outpatient services. Home care and medical daycare services accounted for US $1,442 (p < 0.001) of the difference. Emergency department visits and inpatient care accounted for only a small fraction of the excess costs. CONCLUSIONS: Compared with controls, Medicaid AD patients incurred higher acute care costs in the 12 months prior to their preliminary diagnosis, suggesting room for beneficial interventions and better disease management should earlier diagnosis become possible. These findings may be especially relevant in light of new criteria facilitating earlier diagnosis of AD.

Evaluating the utility of existing patient-reported outcome scales in novel patient populations with pancreatic cancer, lung cancer, and myeloproliferative neoplasms using medicare current beneficiary survey data.

BACKGROUND: While there are validated patient-reported outcomes (PRO) instruments for use in specific cancer populations, no validated general instruments exist for use in conditions common to multiple cancers, such as muscle wasting and consequent physical disability. The Medicare Current Beneficiary Survey (MCBS), a survey in a nationally representative sample of Medicare beneficiaries, includes items from three well known scales with general applicability to cancer patients: Katz activities of daily living (ADL), Rosow-Breslau instrumental ADL (IADL), and a subset of physical performance items from the Nagi scale. OBJECTIVE: This study evaluated properties of the Katz ADL, Rosow-Breslau IADL, and a subset of the Nagi scale in patients with pancreatic cancer, lung cancer, and myeloproliferative neoplasms (MPN) using data from MCBS linked with Medicare claims in order to understand the potential utility of the three scales in these populations; understanding patient-perceived significance was not in scope. METHODS: The study cohorts included Medicare beneficiaries aged ≥65 years as of 1 January of the year of their first cancer diagnosis with one or more health assessments in a community setting in the MCBS Access to Care data from 1991 to 2009. Beneficiaries had at least two diagnoses in de-identified Medicare claims data linked to the MCBS for one of the following cancers: pancreatic, lung, or MPN. The Katz ADL, Rosow-Breslau IADL, and Nagi scales were calculated to assess physical functioning over time from cancer diagnosis. Psychometric properties for each scale in each cohort were evaluated by testing for internal consistency, test-retest reliability, and responsiveness by comparing differences in mean scale scores over time as cancer progresses, and differences in mean scale scores before and after hospitalization (for lung cancer cohort). RESULTS: The study cohorts included 90 patients with pancreatic cancer, 863 with lung cancer, and 135 with MPN. Among each cancer cohort, the Katz ADL, Rosow-Breslau IADL, and Nagi scales had acceptable internal consistency (Cronbach's alpha generally between 0.70 and 0.90) and test-retest reliability for consecutive surveys before diagnosis and consecutive surveys after diagnosis (when patients' functioning was more stable). Compared with mean scale scores at the survey 1-2 years before cancer diagnosis (baseline), mean scale scores at the first survey after cancer diagnosis were significantly higher (P < 0.05), indicating worsening, for Katz ADL, Rosow-Breslau IADL, and Nagi scales (items scored 0-1) (0.54 vs. 1.45, 1.15 vs. 2.20, and 2.29 vs. 3.08, respectively, for pancreatic cancer; 0.73 vs. 1.24, 1.29 vs. 2.01, and 2.41 vs. 2.85 for lung cancer; and 0.44 vs. 0.86, 0.87 vs. 1.36, and 1.87 vs. 2.32 for MPN). Among lung cancer patients, scale scores increased significantly following a hospitalization, suggesting a worsening of functional status. CONCLUSIONS: The Katz ADL, Rosow-Breslau IADL, and Nagi scales collected in the MCBS demonstrate acceptable internal consistency and test-retest reliability among patients with pancreatic cancer, lung cancer, and MPN, and are consistent with clinical worsening following diagnosis or hospitalization. These results suggest that using retrospective data may allow researchers to conduct preliminary assessments of existing PRO instruments in new populations of interest and generate useful exploratory disease information before embarking on de novo PRO development.