Predictors of 30-day readmission and hospitalization costs of patients with hepatic encephalopathy in the US from 2010 to 2014.

BACKGROUND: Hepatic encephalopathy (HE) is a complex and reversible neuropsychiatric syndrome that is associated with growing, substantial healthcare resource utilization. We aim to examine the predictors of 30-day readmission and hospitalization cost associated with HE. RESEARCH DESIGN AND METHODS: We conducted a cross-sectional study using the Nationwide Readmissions Database from 2010 to 2014. We assessed the readmission rates using multivariate logistic regression and established temporal trends of readmission rates and hospitalization cost. Weighted hierarchical logistic regression and generalized linear mixed models were used to identify predictors for nationally representative readmissions and hospitalization costs, respectively. RESULTS: The number of index hospitalizations with HE increased with a significant trend from 34,967 in 2010 to 44,791 in 2014. 16.8% of patients were readmitted within 30 days. Predictors increasing readmission risk included female sex, Elixhauser readmission score < 25, elective admission, patient's state residential status, privately insured, number of diagnoses >13, and length of stay >4 days. CONCLUSIONS: Our results indicate there is a need to implement better management strategies to improve outcomes in patients hospitalized with HE to curb the increase in the economic burden associated with the disease.

Do patients at high risk for Hepatitis C receive recommended testing? A retrospective cohort study of statewide Medicaid claims linked with OneFlorida clinical data.

ABSTRACT: Hepatitis C virus (HCV) infection is a leading risk factor for hepatocellular carcinoma.We employed a retrospective cohort study design and analyzed 2012-2018 Medicaid claims linked with electronic health records data from the OneFlorida Data Trust, a statewide data repository containing electronic health records data for 15.07 million Floridians from 11 health care systems. Only adult patients at high-risk for HCV (n = 30,113), defined by diagnosis of: HIV/AIDS (20%), substance use disorder (64%), or sexually transmitted infections (22%) were included. Logistic regression examined factors associated with meeting the recommended sequence of HCV testing.Overall, 44.1% received an HCV test. The odds of receiving an initial test were significantly higher for pregnant females (odds ratio [OR]1.99; 95% confidence interval [CI] 1.86-2.12; P < .001) and increased with age (OR 1.01; 95% CI 1.00-1.01; P < .001).Among patients with low Charlson comorbidity index (CCI = 1), non-Hispanic (NH) black patients (OR 0.86; 95% CI 0.81-0.9; P < .001) had lower odds of getting an HCV test; however, NH black patients with CCI = 10 had higher odds (OR 1.41; 95% CI 1.21-1.66; P < .001) of receiving a test. Of those who tested negative during initial testing, 17% received a second recommended test after 6 to 24 months. Medicaid-Medicare dual eligible patients, those with high CCI (OR 1.14; 95% CI 1.11-1.17; P < .001), NH blacks (OR 1.93; 95% CI 1.61-2.32; P < .001), and Hispanics (OR 1.49; 95% CI 1.08-2.06; P = .02) were significantly more likely to have received a second HCV test, while pregnant females (OR 0.71; 95% CI 0.57-0.89; P = .003), had lower odds of receiving it. The majority of patients who tested positive during the initial test (97%) received subsequent testing.We observed suboptimal adherence to the recommended HCV testing among high-risk patients underscoring the need for tailored interventions aimed at successfully navigating high-risk individuals through the HCV screening process. Future interventional studies targeting multilevel factors, including patients, clinicians and health systems are needed to increase HCV screening rates for high-risk populations.

Differential Cost-Sharing Undermines Treatment Adherence to Combination Therapy: Evidence from Diabetes Treatment.

INTRODUCTION: The objective of this study was to measure the influence of differences in out-of-pocket (OOP) costs for type 2 diabetes (T2D) medications on within-patient adherence behavior towards combination drug therapy regimens. METHODS: This was an observational, retrospective, paired sample study in patients with T2D using longitudinal pharmacy data from the 2009-2014 Medical Expenditure Panel Survey (MEPS) augmented with socio-demographic factors. We took a within-patient approach to minimize confounding effects by including patients who maintained the same number of diabetes drug classes over 2 years of MEPS. For each patient, we selected the most and least costly drug classes in the second year and examined their corresponding adherence behavior measured by medication possession ratio. The primary hypothesis tested the significance of the correlation between magnitude of the OOP cost difference and behavioral response in adherence. RESULTS: Analysis included 1189 patients representing over 4.2 million US residents with T2D. A significant negative correlation (p < 0.001) was observed between the differences of OOP costs and adherence to the most and least costly medications compared within patients. Reduction in adherence to the most costly medication was generally observed when the difference in OOP costs was greater than $33/month. A greater variability in adherence was observed when the cost difference exceeded $2.39/month as compared to other cost difference ranges (p < 0.001), indicative of choices being made. CONCLUSIONS: As OOP costs increased, adherence variability increased initially until a cost threshold, beyond which the adherence to the more costly medication decreased. In addition to OOP cost, adherence was also influenced by type of medication and self-perception of health. Given the complex correlation between OOP costs and adherence to medication, we suggest a careful approach to cost-sharing in the current insurance drug design and relevant insurance policies.

Direct-Acting Antiviral Treatment Use Remains Low Among Florida Medicaid Beneficiaries With Chronic Hepatitis C.

Medicaid prior authorization (PA) policies for treatment of hepatitis C virus (HCV) with direct-acting antiviral (DAA) therapy are changing. We aimed to evaluate effects of changes in PA requirements on treatment uptake and to determine the factors associated with DAA treatment among Florida Medicaid beneficiaries with HCV. This is a retrospective cohort analysis of Florida's Medicaid administrative claims and electronic medical records (2013-2018). A total of 14,063 newly diagnosed patients with HCV were grouped based on human immunodeficiency virus (HIV) co-infection and/or a substance use disorder (SUD) (7,735 HCV mono-infected with a SUD, 5,180 HCV mono-infected without a SUD, 564 HCV/HIV co-infected with a SUD, and 584 HCV/HIV co-infected without a SUD). Although the treatment rate increased three-fold after June 1, 2016, when a fibrosis-stage restriction was eliminated, only 8% received DAAs. Compared to HCV mono-infected without a SUD, HCV mono-infected with a SUD and HCV/HIV co-infected with a SUD were 47% (adjusted hazard ratio, 0.53; 95% confidence interval, 0.47-0.60) and 59% (adjusted hazard ratio, 0.41; 95% confidence interval, 0.28-0.61) less likely to initiate DAAs. Those with HCV/HIV/SUD did not experience a DAA initiation increase after a fibrosis-stage restriction was eliminated. Compared with Whites, Blacks were less likely to receive DAAs but were more likely to complete treatment. Use of medication-assisted therapy was low, despite those on medication-assisted therapy being 60% more likely to initiate DAA therapy and no more likely to discontinue therapy. Conclusion: Despite changes in Florida's Medicaid PA requirements for DAA treatment, only 8% received treatment. Disparities in treatment access were found among patients with HIV and a SUD, and who were Black.

Development and validation of coding algorithms to identify patients with incident lung cancer in United States healthcare claims data.

PURPOSE: Our aim was to develop and validate a practical US healthcare claims algorithm for identifying incident lung cancer that improves on positive predictive value (PPV) and sensitivity observed in past studies. METHODS: Patients newly diagnosed with lung cancer in Surveillance, Epidemiology, and End Results (SEER) (gold standard) were linked with Medicare claims. A 5% Medicare "other cancer" sample and noncancer sample served as controls. A split-sample validation approach was used. Rules-based, regression, and machine learning models for developing algorithms were explored. Algorithms were developed in the model building subset. Rules-based algorithms and those with the highest F scores were evaluated in the validation subset. F scores were compared for 1000 bootstrap samples. Misclassification was evaluated by calculating the odds of selection by the algorithm among true positives and true negatives. RESULTS: A practical single-score algorithm derived from a logistic regression model had sensitivity = 78.22% and PPV = 78.50% (F score: 78.36). The algorithm was most likely to misclassify older patients (ages ≥80 years) or with missing data in the SEER registry, shorter follow-up time in Medicare (<3 months), insurance through Veterans Affairs, >1 cancer in SEER, or certain Charlson comorbidities (dementia, chronic pulmonary disease, liver disease, or myocardial infarction). CONCLUSION: In this dataset, a practical point-based algorithm for identifying incident lung cancer demonstrated significant and substantial improvement (7.9% and 23.9% absolute improvement in sensitivity and PPV, respectively) compared with a current standard.

Barriers to treatment of chronic hepatitis C with direct acting antivirals in an urban clinic.

INTRODUCTION AND AIM: Direct-acting antiviral (DAA) agents are highly effective for treatment of chronic hepatitis C virus (HCV) yet access to treatment remains a serious challenge. The aim of this study was to identify barriers to treatment initiation with DAA-containing regimens in an urban clinic setting. MATERIALS AND METHODS: A retrospective cohort of all chronic HCV patients seen in an urban academic practice in Jacksonville, FL, USA from 1/2014 to 1/2017 was analyzed. Baseline characteristics were recorded and a review of medical records was performed to identify barriers to treatment initiation and overall success rates. RESULTS: Two-hundred and forty patients with chronic HCV were analyzed. Fifty-six percent of patients were African-American and 63% were insured through Medicaid/county programs or uninsured. Sixty-nine percent had barriers to initiating antiviral therapy categorized as psychosocial (n=112), provider (n=26), medical (n=20), and insurance-related factors (n=7). The most commonly encountered psychosocial barriers included failure to keep appointments (79/240, 33%), active substance abuse (18/240, 8%), and failure to obtain laboratory testing (11/240, 5%). Overall, only 27% of patients evaluated were initiated on DAA-containing regimens with 18% reaching SVR12 within the 36-month study period. CONCLUSION: In conclusion, only 27% of patients who presented to an urban academic practice with chronic HCV received DAA-containing regimens over a 36-month period. Psychosocial issues were the major barriers to antiviral therapy. These findings illustrate the need for an integrated approach that addresses psychosocial factors as well as comorbidities and adherence to care in order to increase rates of HCV treatment in at risk patients.

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

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 (

Impact of All-Oral Direct-Acting Antivirals on Clinical and Economic Outcomes in Patients With Chronic Hepatitis C in the United States.

Approved treatment for hepatitis C virus (HCV) with all-oral direct-acting antivirals (DAA) therapy is now entering into its fourth year; however, little has been reported on the real-world clinical (decompensated cirrhosis [DCC] and hepatocellular carcinoma [HCC]) and economic outcomes. A retrospective cohort analysis of the Truven Health MarketScan Database (2012-2016) was conducted. In a cohort of 26,105 patients with newly diagnosed HCV, 30% received all-oral DAA therapy (DAA group) and 70% were not treated (untreated group). Multivariate Cox proportional hazards models were used to compare the risk of developing HCC and DCC, stratified by cirrhosis status. Among patients with cirrhosis (n = 2157), DAA therapy was associated with a 72% and a 62% lower incidence of HCC (hazard ratio [HR], 0.28; 95% confidence interval [CI], 0.15-0.52) and DCC (HR, 0.38; 95% CI, 0.26-0.56). Similarly, DAA therapy was associated with a 57% and a 58% lower incidence of HCC (HR, 0.43; 95% CI, 0.26-0.71) and DCC (HR, 0.42; 95% CI, 0.30-0.58) in patients with noncirrhotic HCV (n = 23,948). A propensity score-matched cohort of 8064 HCV-infected patients who had at least a 12-month follow-up after HCV treatment was included for economic analysis. For patients with cirrhosis in the DAA group, the mean adjusted liver-related costs ($1749 vs. $4575; P < 0.001) and all-cause medical costs ($19,300 vs. $33,039; P < 0.001) were significantly lower compared with those in the untreated group. The mean adjusted costs were not statistically different between the two groups among patients without cirrhosis. Conclusion: In the short term, all-oral DAA treatment for HCV infection was associated with a decreased risk of developing HCC and DCC, resulting in decreased health care costs, especially in patients with cirrhosis. A longitudinal study is necessary to confirm our findings.

Hypoglycemia Emergencies: Factors Associated with Prehospital Care, Transportation Status, Emergency Department Disposition, and Cost.

Objectives: The objectives of this study were to evaluate demographic/clinical characteristics and treatment/transportation decisions by emergency medical services (EMS) for patients with hypoglycemia and link EMS activations to patient disposition, outcomes, and costs to the emergency medical system. This evaluation was to identify potential areas where improvements in prehospital healthcare could be made. Methods: This was a retrospective analysis of the National Emergency Medical Services Information System (NEMSIS) registry and three national surveys: Nationwide Emergency Department Sample (NEDS), National Hospital Ambulatory Medical Care Survey (NHAMCS), and Medical Expenditure Panel Survey (MEPS) from 2013, to examine care of hypoglycemia from the prehospital and the emergency department (ED) perspectives. Results: The study estimated 270,945 hypoglycemia EMS incidents from the NEMSIS registry. Treatments were consistent with national guidelines (i.e., oral glucose, intravenous [IV] dextrose, or glucagon), and patients were more likely to be transported to the ED if the incident was in a rural setting or they had other chief concerns related to the pulmonary or cardiovascular system. Use of IV dextrose decreased the likelihood of transportation. Approximately 43% of patients were not transported from the scene. Data from the NEDS survey estimated 258,831 ED admissions for hypoglycemia, and 41% arrived by ambulance. The median ambulance expenditure was $664 ± 98. From the ED, 74% were released. The average ED charge that did not lead to hospital admission was $3106 ± 86. Increased odds of overnight admission included infection and acute renal failure. Conclusions: EMS activations for hypoglycemia are sizeable and yet a considerable proportion of patients are not transported to or are discharged from the ED. Seemingly, these events resolved and were not medically complex. It is possible that implementation and appropriate use of EMS treat-and-release protocols along with utilizing programs to educate patients on hypoglycemia risk factors and emergency preparedness could partially reduce the burden of hypoglycemia to the healthcare system.

A comprehensive assessment of patient reported symptom burden, medical comorbidities, and functional well being in patients initiating direct acting antiviral therapy for chronic hepatitis C: Results from a large US multi-center observational study.

BACKGROUND: Symptom burden, medical comorbidities, and functional well-being of patients with chronic hepatitis C virus (HCV) initiating direct acting antiviral (DAA) therapy in real-world clinical settings are not known. We characterized these patient-reported outcomes (PROs) among HCV-infected patients and explored associations with sociodemographic, liver disease, and psychiatric/substance abuse variables. METHODS AND FINDINGS: PROP UP is a large US multicenter observational study that enrolled 1,600 patients with chronic HCV in 2016-2017. Data collected prior to initiating DAA therapy assessed the following PROs: number of medical comorbidities; neuropsychiatric, somatic, gastrointestinal symptoms (PROMIS surveys); overall symptom burden (Memorial Symptom Assessment Scale); and functional well-being (HCV-PRO). Candidate predictors included liver disease markers and patient-reported sociodemographic, psychiatric, and alcohol/drug use features. Predictive models were explored using a random selection of 700 participants; models were then validated with data from the remaining 900 participants. The cohort was 55% male, 39% non-white, 48% had cirrhosis (12% with advanced cirrhosis); 52% were disabled or unemployed; 63% were on public health insurance or uninsured; and over 40% had markers of psychiatric illness. The median number of medical comorbidities was 4 (range: 0-15), with sleep disorders, chronic pain, diabetes, joint pain and muscle aches being present in 20-50%. Fatigue, sleep disturbance, pain and neuropsychiatric symptoms were present in over 60% and gastrointestinal symptoms in 40-50%. In multivariable validation models, the strongest and most frequent predictors of worse PROs were disability, unemployment, and use of psychiatric medications, while liver markers generally were not. CONCLUSIONS: This large multi-center cohort study provides a comprehensive and contemporary assessment of the symptom burden and comorbid medical conditions in patients with HCV treated in real world settings. Pain, fatigue, and sleep disturbance were common and often severe. Sociodemographic and psychiatric markers were the most robust predictors of PROs. Future research that includes a rapidly changing population of HCV-infected individuals needs to evaluate how DAA therapy affects PROs and elucidate which symptoms resolve with viral eradication. TRIAL REGISTRATION: (Clinicaltrial.gov: NCT02601820).

Pragmatic trial of a Study Navigator Model (NAU) vs. Ambassador Model (N+) to increase enrollment to health research among community members who use illicit drugs.

BACKGROUND: Although drug use is common in the population, drug users are sometimes excluded from research without justification. Two models of individualized study matching were compared for effectiveness in enrolling people who "endorsed current drug use" and those who "did not" into appropriate research. METHODS: Participants in the NIDA-funded Transformative Approach to Reduce Research Disparities Towards Drug Users study (Navigation Study) were recruited through a Clinical and Translational Science Award (CTSA) community engagement model. Of the 614 community-recruited adults, 326 endorsed current drug use (cases); 288 did not (controls). Participants were randomized to one of two intervention groups: Navigation as Usual (NAU) [individualized study matching through a Study Navigator] or Enhanced Navigation (N+) [individualized study matching plus transportation and other assistance through an Ambassador]. Rates of enrollment into research studies were compared. RESULTS: At 90 days, N+ vs. the NAU intervention was associated with higher enrollment among both drug users (36.0% N+ vs. 24.9% NAU) and non-drug users (45.5% N+ vs. 25.2% NAU). NAU attained the same rate of enrollment for users of drugs (24.9%) and non-users (25.2%); N+ had similar rates as well (36.0% drug users vs. 45.5% non-drug users). In addition, high rates of enrollment were achieved among all groups of participants, from 24.9% (drug users in NAU) to 45.5% (non-drug users in N+). CONCLUSIONS: Both the NAU and N+ methods can reduce barriers and help users and non-users become part of the population that participates in research. Working with the local CTSA adds significant value to the research enterprise.

Frequency of skeletal-related events and associated healthcare resource use and costs in US patients with multiple myeloma.

OBJECTIVE: A potential complication for all new multiple myeloma (MM) patients is the clinical presentation of osteolytic lesions which increase the risk for skeletal-related events (SREs). However, the contribution of SREs to the overall economic impact of MM is unclear. The impact of SREs on healthcare resource utilization (HCRU) and costs for US patients with MM was analyzed in Truven Health Marketscan Commercial Claims and Medicare Supplemental Databases. METHODS: Adults diagnosed with MM between January 1, 2005 and December 31, 2010 with ≥2 claims ≥30 days apart (first claim = index date) were included. SREs included: hypercalcemia, pathologic fracture, surgery for the prevention and treatment of pathologic fractures or spinal cord compression, and radiation for bone pain. Rates of HCRU (outpatient [OP], inpatient [IP], emergency room [ER], orthopedic consultation [OC], and ancillary) and healthcare costs were compared between MM patients with and without SREs. Inverse propensity weighting was applied to adjust for potential bias. RESULTS: Of 1028 MM patients (mean age = 67, standard deviation = 13.2), 596 patients with ≥1 SRE and 432 without SREs were assessed. HCRU rates in IP, ER, and ancillary (p < 0.01) and mean total costs of OP, IP, and ER were significantly higher (p < 0.05) for patients with vs without SREs during follow-up. HCRU rates also increased with SRE frequency (p < 0.05 in OP, IP, ER, OC, and ancillary), as did mean total healthcare costs, except for OC (p < 0.001). LIMITATIONS: A broad assessment of pharmacotherapy for the treatment of MM was not an objective of the current study. Bisphosphonate use was evaluated; however, results were descriptively focused on frequency of utilization only and were not included in the broader cost and HCRU analysis. CONCLUSIONS: Among US patients with MM, higher SRE frequency was associated with a significant trend of higher HCRU and total healthcare costs in several settings.

Assessment and refinement of eukaryotic gene structure prediction with gene-structure-aware multiple protein sequence alignment.

BACKGROUND: Accurate computational identification of eukaryotic gene organization is a long-standing problem. Despite the fundamental importance of precise annotation of genes encoded in newly sequenced genomes, the accuracy of predicted gene structures has not been critically evaluated, mostly due to the scarcity of proper assessment methods. RESULTS: We present a gene-structure-aware multiple sequence alignment method for gene prediction using amino acid sequences translated from homologous genes from many genomes. The approach provides rich information concerning the reliability of each predicted gene structure. We have also devised an iterative method that attempts to improve the structures of suspiciously predicted genes based on a spliced alignment algorithm using consensus sequences or reliable homologs as templates. Application of our methods to cytochrome P450 and ribosomal proteins from 47 plant genomes indicated that 50 ~ 60 % of the annotated gene structures are likely to contain some defects. Whereas more than half of the defect-containing genes may be intrinsically broken, i.e. they are pseudogenes or gene fragments, located in unfinished sequencing areas, or corresponding to non-productive isoforms, the defects found in a majority of the remaining gene candidates can be remedied by our iterative refinement method. CONCLUSIONS: Refinement of eukaryotic gene structures mediated by gene-structure-aware multiple protein sequence alignment is a useful strategy to dramatically improve the overall prediction quality of a set of homologous genes. Our method will be applicable to various families of protein-coding genes if their domain structures are evolutionarily stable. It is also feasible to apply our method to gene families from all kingdoms of life, not just plants.

Patient-reported immunosuppression nonadherence 6 to 24 months after liver transplant: association with pretransplant psychosocial factors and perceptions of health status change.

CONTEXT: Knowing the prevalence and risk factors of immunosuppression nonadherence after liver transplant may help guide intervention development. OBJECTIVE: To examine whether sociodemographic and psychosocial variables before liver transplant are predictive of nonadherence after liver transplant. DESIGN: Structured telephone interviews were used to collect self-report immunosuppression adherence and health status information. Medical record reviews were then completed to retrospectively examine the relationship between immunosuppression adherence and pretransplant variables, including sociodemographic and medical characteristics and the presence or absence of 6 hypothesized psychosocial risk factors. SETTING AND PARTICIPANTS: A nonprobability sample of 236 adults 6 to 24 months after liver transplant at 2 centers completed structured telephone interviews. MAIN OUTCOME MEASURE: Immunosuppressant medication nonadherence, categorized as missed-dose and altered-dose "adherent" or "nonadherent" during the past 6 months; immunosuppression medication holidays. RESULTS: Eighty-two patients (35%) were missed-dose nonadherent and 34 patients (14%) were altered-dose nonadherent. Seventy-one patients (30%) reported 1 or more 24-hour immunosuppression holidays in the past 6 months. Missed-dose nonadherence was predicted by male sex (odds ratio, 2.46; P= .01), longer time since liver transplant (odds ratio, 1.08; P= .01), pretransplant mood disorder (odds ratio, 2.52; P=.004), and pretransplant social support instability (odds ratio, 2.25; P=.03). Altered-dose nonadherence was predicted by pretransplant mood disorder (odds ratio, 2.15; P= .04) and pretransplant social support instability (odds ratio, 1.89; P= .03). CONCLUSION: Rates of immunosuppressant nonadherence and drug holidays in the first 2 years after liver transplant are unacceptably high. Pretransplant mood disorder and social support instability increase the risk of nonadherence, and interventions should target these modifiable risk factors.

Biologic disease-modifying drug treatment patterns and associated costs for patients with rheumatoid Arthritis.

OBJECTIVE: To assess the influence of biologic treatment patterns on healthcare costs for patients with rheumatoid arthritis (RA) initiating tumor necrosis factor-α (TNF-α) antagonist therapy. METHODS: Patients with 2 RA diagnoses (International Classification of Diseases, 9th ed, 714.xx), and without psoriasis or Crohn's disease, were identified in a US employer-based insurance claims database. A sample of 2545 was constructed based on an index event of initiating TNF-α antagonist therapy and 30 months of continuous enrollment. Baseline characteristics were assessed in the 6-month pre-index period and treatment patterns were determined during the 12-month post-index period. Medical service and prescription drug costs were analyzed for Months 13-24 using multivariate regression analysis to control for baseline characteristics and time-varying confounding associated with treatment and disease severity. RESULTS: In the first year after TNF-α initiation, 89% used a single TNF-α antagonist; only 9% and 2% had switched TNF-α antagonists or received non-TNF biologic disease-modifying antirheumatic drugs, respectively. Descriptive analyses revealed pairwise differences between groups (p < 0.05) in baseline characteristics (comorbidities, RA-related procedure use, and prescription drug use). Controlling for observed baseline characteristics, costs were greater for those treated with multiple vs single TNF-α antagonists: annual RA-related prescription drug costs ($8,340 vs $7,058; p = 0.012), RA-related healthcare costs ($15,048 vs $13,312; p = 0.008), and total healthcare costs ($26,697 vs $21,381; p < 0.001). CONCLUSION: In this sample, the majority of patients with RA were treated with a single TNF-α antagonist over the first year on therapy. For those who switched therapy, Year 2 RA-related and total direct healthcare costs were higher, adjusting for claims-based measures of RA disease severity.

Initial experience with a first-to-market member accountability-based insurance product.

We describe the initial experience with a first-to-market health insurance product design based on principles of both member and purchaser accountability. Two benefit levels were offered, enhanced and standard. Qualification for the enhanced benefit level was obtained through members' commitment to follow their physicians' recommended treatment plan. Employers were offered a discount of 10% in exchange for offering this new product and promoting a healthy work environment. Membership in the product grew beyond expectations, and several health improvements were noted.

The financial burden of transplantation: a single-center survey of liver and kidney transplant recipients.

Little is known about the financial impact of transplantation on patients and families. We interviewed 333 liver transplant (LT) and 318 kidney transplant (KT) recipients who were at least 1 year posttransplant. Patients were asked whether transplantation caused financial problems, whether income had changed since transplantation, what resources they used to pay for transplant-related expenses, and what their out-of-pocket monthly expenses were. Descriptive and comparative statistics, measures of association, and logistic regression analyses were calculated. Many patients reported financial problems secondary to transplantation (40.6%) and less monthly income now than in the year preceding transplantation (46.5%). Average monthly out-of-pocket expense was $476.60. LT recipients had higher out-of-pocket expenses than KT recipients (t=2.46, P=0.015). Patients used personal savings (53.9%) and credit cards (25.0%) to help offset these expenses, among other strategies. For both LT and KT recipients, older age, nonworking status before transplantation, and current nonworking status predicted greater financial impact, whereas younger age and current nonworking status predicted higher monthly out-of-pocket expenses. These findings highlight the potential financial impact of transplantation on patients and families, and they have implications for assisting patients in managing out-of-pocket expenses after transplantation.