Racial, Ethnic, and Socioeconomic Disparities in Treatment Delay Among Patients With Hepatocellular Carcinoma in the United States.

BACKGROUND & AIMS: Failures have been reported across the cancer care continuum in patients with hepatocellular carcinoma (HCC); however, the impact of treatment delays on outcomes has not been well-characterized. We described the prevalence of treatment delays in a racially and ethnically diverse cohort of patients and its association with overall survival. METHODS: Using the Surveillance, Epidemiology, and End Results-Medicare database, we identified patients diagnosed with HCC between 2001 and 2015. We performed multivariable logistic regression analysis to identify factors associated with treatment delay (ie, receipt of HCC-directed therapy >3 months after diagnosis). Cox proportional hazards regression analysis with a 5-month landmark was used to characterize the association between treatment delay and overall survival, accounting for immortal time bias. RESULTS: Of 8450 patients with treatment within 12 months of HCC diagnosis, 1205 (14.3%) experienced treatment delays. The proportion with treatment delays ranged from 6.8% of patients undergoing surgical resection to 21.6% of those undergoing liver transplantation. In multivariable analysis, Black patients (odds ratio, 1.96; 95% confidence interval [CI], 1.21-3.15) and those living in high poverty neighborhoods (odds ratio, 1.55; 95% CI, 1.25-1.92) were more likely to experience treatment delays than white patients and those living in low poverty neighborhoods, respectively. Treatment delay was independently associated with worse survival (hazard ratio 1.15, 95% CI, 1.05-1.25). CONCLUSIONS: Nearly 1 in 7 patients with HCC experience treatment delays, with higher odds in Black patients and those living in high poverty neighborhoods. Treatment delays are associated with worse survival, highlighting a need for interventions to improve time-to-treatment.

Predictors of Pediatric Frequent Emergency Department Use Among 7.6 million Pediatric Patients in New York.

OBJECTIVE: This study examines the characteristics and factors associated with frequent emergency department (ED) utilization among the pediatric population. METHODS: We conducted a pooled cross-sectional secondary analysis using the Healthcare Cost and Utilization Project State Emergency and Inpatient Databases on ED visits to all hospitals in New York from 2011 to 2016 by patients aged 0 to 21. We used multivariable logistic and negative binomial regressions to investigate the predictors of multiple ED visits in the pediatric population. RESULTS: Overall, our study included 7.6 million pediatric patients who accounted for more than 12 million ED visits. Of those, 6.2% of patients were frequent ED users (≥4 visits/year), accounting for 20.8% of all ED visits (5.4 ED visits/year on average). The strongest predictors of frequent ED use were having at least one ED visit related to asthma (aOR = 8.37 [95% CI: 6.34-11.04]), mental health disorders (aOR = 9.67 [95% CI: 8.60-10.89]), or multiple comorbidities compared to none. Larger shares of ED visits for not-emergent conditions were also associated with frequent ED use (aOR = 6.63 [95% CI = 5.08-8.65]). Being covered by Medicaid compared to private (aOR = 0.45 [95% CI: 0.42-0.47]) or no insurance (aOR = 0.41 [95% CI: 0.38-0.44]) were further associated with frequent ED use. The results from the negative binomial regression yielded consistent findings. CONCLUSIONS: Pediatric patients who exhibit increased ED use are more medically complex and have increased healthcare needs that are inextricably tied to social determinants of health. Better integrated health systems should emphasize connecting vulnerable patients to appropriate social and primary care services outside of emergency settings.

Racial, Ethnic, and Socioeconomic Disparities in Curative Treatment Receipt and Survival in Hepatocellular Carcinoma.

Hepatocellular carcinoma (HCC) disproportionately affects racial, ethnic, and low socioeconomic status (SES) populations. However, the interaction between race, ethnicity, and neighborhood SES in HCC prognosis is not well explored. This study evaluates the interaction between race and ethnicity and neighborhood SES on curative treatment utilization and overall survival among patients with HCC in the United States. We conducted a retrospective cohort study of 13,874 patients aged ≥65 years diagnosed with HCC from 2001 through 2015 using the Surveillance, Epidemiology, and End Results Medicare-linked database. We performed multivariable logistic regression to examine the association between race, ethnicity, and curative treatment receipt across SES. We also evaluated the association between curative treatment receipt and overall survival using a Cox proportional hazards model. Among 13,874 patients, only 2,617 (18.9%) patients received curative treatment. Overall, Black patients had lower odds of receiving curative treatment than White patients (odds ratio [OR], 0.76; 95% confidence interval [CI], 0.64-0.91). When stratified by neighborhood SES, Black patients living in high-poverty neighborhoods had lower odds of curative treatment receipt (OR, 0.64; 95% CI, 0.49-0.84) and worse survival (hazard ratio, 1.13; 95% CI, 1.02-1.25). Conversely, Hispanic and Asian patients had similar curative treatment receipt compared to White patients across all socioeconomic levels. Conclusion: Disparities in curative treatment receipt and overall survival are pronounced between Black and White patients. Black-White disparities appear to be moderated by neighborhood SES and are particularly evident among those living in high-poverty neighborhoods.

Inpatient Hospital Costs for COVID-19 Patients in the United States.

INTRODUCTION: Reliable cost and resource use data for COVID-19 hospitalizations are crucial to better inform local healthcare resource decisions; however, available data are limited and vary significantly. METHODS: COVID-19 hospital admissions data from the Premier Healthcare Database were evaluated to estimate hospital costs, length of stay (LOS), and discharge status. Adult COVID-19 patients (ICD-10-CM: U07.1) hospitalized in the US from April 1 to December 31, 2020, were identified. Analyses were stratified by patient and hospital characteristics, levels of care during hospitalization, and discharge status. Factors associated with changes in costs, LOS, and discharge status were estimated using regression analyses. Monthly trends in costs, LOS, and discharge status were examined. RESULTS: Of the 247,590 hospitalized COVID-19 patients, 49% were women, 76% were aged ≥ 50, and 36% were admitted to intensive care units (ICU). Overall median hospital LOS, cost, and cost/day were 6 days, US$11,267, and $1772, respectively; overall median ICU LOS, cost, and cost/day were 5 days, $13,443, and $2902, respectively. Patients requiring mechanical ventilation had the highest hospital and ICU median costs ($47,454 and $41,510) and LOS (16 and 11 days), respectively. Overall, 14% of patients died in hospital and 52% were discharged home. Older age, Black and Caucasian race, hypertension and obesity, treatment with extracorporeal membrane oxygenation, and discharge to long-term care facilities were major drivers of costs, LOS, and risk of death. Admissions in December had significantly lower median hospital and ICU costs and LOS compared to April. CONCLUSION: The burden from COVID-19 in terms of hospital and ICU costs and LOS has been substantial, though significant decreases in cost and LOS and increases in the share of hospital discharges to home were observed from April to December 2020. These estimates will be useful for inputs to economic models, disease burden forecasts, and local healthcare resource planning.

Health services utilization, out-of-pocket expenditure, and underinsurance among insured non-elderly cancer survivors in the United States, 2011-2015.

BACKGROUND: High out-of-pocket (OOP) expenditure and inadequate insurance coverage may adversely affect cancer survivors. We aimed to characterize the extent and correlates of healthcare utilization, OOP expenditures, and underinsurance among insured cancer survivors. METHODS: We used 2011-2015 Medical Expenditure Panel Survey data to identify a nationally representative sample of insured non-elderly adult (age 18-64 years) cancer survivors. We used negative binomial, two-part (logistic and Generalized Linear Model with log link and gamma distribution), and logistic regression models to quantify healthcare utilization, OOP expenditures, and underinsurance, respectively, and identified sociodemographic correlates for each outcome. RESULTS: We identified 2738 insured non-elderly cancer survivors. Adjusted average utilization of ambulatory, non-ambulatory, prescription medication, and dental services was 14.4, 0.51, 24.9, and 1.4 events per person per year, respectively. Higher ambulatory and dental services utilization were observed in older adults, females, non-Hispanic Whites, survivors with a college degree and high income, compared to their counterparts. Nearly all (97.7%) survivors had some OOP expenditures, with a mean adjusted OOP expenditure of $1552 per person per year. Adjusted mean OOP expenditures for ambulatory, non-ambulatory, prescription medication, dental, and other health services were $653, $161, $428, $194, and $83, respectively. Sociodemographic variations in service-specific OOP expenditures were generally consistent with respective utilization patterns. Overall, 8.8% of the survivors were underinsured. CONCLUSION: Many insured non-elderly cancer survivors allocate a substantial portion of their OOP expenditure for healthcare-related services and experience financial vulnerability, resulting in nearly 8.8% of the survivors being underinsured. Utilization of healthcare services varies across sociodemographic groups.

The effect of expanded insurance coverage under the Affordable Care Act on emergency department utilization in New York.

BACKGROUND: One of the proposed benefits of expanding insurance coverage under the Affordable Care Act (ACA) was a reduction in emergency department (ED) utilization for non-urgent visits related to lack of health insurance coverage and access to primary care providers. The objective of this study was to estimate the effect of the 2014 ACA implementation on ED use in New York. METHODS: We used the Healthcare Cost and Utilization Project State Emergency Department and State Inpatient Databases for all outpatient and all inpatient visits for patients admitted through an ED from 2011 to 2016. We focused on in-state residents aged 18 to 64, who were covered under Medicaid, private insurance, or were uninsured prior to the 2014 expansion. We estimated the effect of the expanded insurance coverage on average monthly ED visits volumes and visits per 1000 residents (rates) using interrupted time-series regression analyses. RESULTS: After ACA implementation, overall average monthly ED visits increased by around 3.0%, both in volume (9362; 95% Confidence Intervals [CI]: 1681-17,522) and in rates (0.80, 95% CI:0.12-1.49). Medicaid covered ED visits volume increased by 23,972 visits (95% CI: 16,240 -31,704) while ED visits by the uninsured declined by 13,297 (95% CI:-15,856 - -10,737), and by 1453 (95% CI:-4027-1121) for the privately insured. Medicaid ED visits rates per 1000 residents increased by 0.77 (95% CI:-1.96-3.51) and by 2.18 (95% CI:-0.55-4.92) for those remaining uninsured, while private insurance visits rates decreased by 0.48 (95% CI:-0.79 - -0.18). We observed increases in primary-care treatable ED visits and in visits related to mental health and alcohol disorders, substance use, diabetes, and hypertension. All estimated changes in monthly ED visits after the expansion were statistically significant, except for ED visit rates among Medicaid beneficiaries. CONCLUSION: Net ED visits by adults 18 to 64 years of age increased in New York after the implementation of the ACA. Large increases in ED use by Medicaid beneficiaries were partially offset by reductions among the uninsured and those with private coverage. Our results suggest that efforts to expand health insurance coverage only will be unlikely to reverse the increase in ED use.

Cost-impact analysis of baroreflex activation therapy in chronic heart failure patients in the United States.

BACKGROUND: The study evaluated the cost of baroreflex activation therapy plus guideline directed therapy (BAT + GDT) compared to GDT alone for HF patients with reduced ejection fraction and New York Heart Association Class III or II (with a recent history of III). Baroreflex activation therapy (BAT) is delivered by an implantable device that stimulates the baroreceptors through an electrode attached to the outside of the carotid artery, which rebalances the autonomic nervous system to regain cardiovascular (CV) homeostasis. The BeAT-HF trial evaluated the safety and effectiveness of BAT. METHODS: A cost impact model was developed from a U.S. health care payer or integrated delivery network perspective over a 3-year period for BAT + GDT versus GDT alone. Expected costs were calculated by utilizing 6-month data from the BeAT-HF trial and existing literature. HF hospitalization rates were extrapolated based on improvement in NT-proBNP. RESULTS: At baseline the expected cost of BAT + GDT were $29,526 per patient more than GDT alone due to BAT device and implantation costs. After 3 years, the predicted cost per patient was $9521 less expensive for BAT + GDT versus GDT alone due to lower rates of significant HF hospitalizations, CV non-HF hospitalizations, and resource intensive late-stage procedures (LVADs and heart transplants) among the BAT + GDT group. CONCLUSIONS: BAT + GDT treatment becomes less costly than GDT alone beginning between years 1 and 2 and becomes less costly cumulatively between years 2 and 3, potentially providing significant savings over time. As additional BeAT-HF trial data become available, the model can be updated to show longer term effects.

Self-Reported Quality, Health, and Cost-Related Outcomes of Care Coordination Among Patients with Complex Health Needs.

Care coordination is an increasingly popular strategy to help patients with complex health conditions manage their diseases more effectively. The purpose of the current study was to assess associations between patient-reported receipt of care coordination and their experiences of health, health care quality, and cost-related outcomes. Regression analyses of data from 431 patients across 13 Texas providers indicate that patients who reported receiving care coordination had higher odds of perceiving having enough information about how to manage their conditions (OR 2.02, P < .01), having information about education and treatments available (OR 1.87, P < .01), and reporting better access to care (beta = .27, P < .01). Receipt of care coordination was not associated with patients' reports of how up-to-date their doctors were about care from other providers, patients' health-related functioning, or patients' intention to return to the emergency department. Patients' reasons for intending to return to the emergency department included the speed of care there relative to alternatives and satisfaction with the quality of care they had received previously in the emergency department. Results suggest that care coordination in usual practice may improve patient preventive care, but not some other health or cost-related outcomes.

Cost-Effectiveness Analysis of Erenumab Versus OnabotulinumtoxinA for Patients with Chronic Migraine Attacks in Greece.

BACKGROUND: Migraine is a common, chronic neurovascular brain disorder with non-negligible multifaceted economic costs. Existing preventive treatments involve the selective use of onabotulinumtoxinA, which aims at migraine morbidity reduction for patients who have failed initial preventive treatment with oral agents. Erenumab is a new preventive treatment for migraines. OBJECTIVE: To evaluate the differences in costs and outcomes of the preventive treatment with erenumab versus onabotulinumtoxinA in patients with chronic migraines (CM) in Greece to assess the economic value of this treatment. METHODS: We conducted a cost-effectiveness analysis from both the payer and the societal perspective using a decision-tree analytic model. Outcomes were expressed in migraines avoided and in quality-adjusted life-years (QALYs). We obtained model inputs from the existing literature. The decision path adjusted for variation in the probability of adherence and the resulting differential effectiveness between the two treatments. Direct costs included the cost of the two drugs and administration costs, the costs of acute drugs used under usual care, and the costs of hospitalization, physician, and emergency department visits. Indirect costs for the societal perspective analyses included wages lost on workdays. The time-horizon of the analysis was 1 year and all costs were calculated in 2019 euros (€). Sensitivity analyses were conducted to control for parameter uncertainty and to evaluate the robustness of the findings. RESULTS: Our results indicate that treatment of CM with erenumab compared to onabotulinumtoxinA resulted in incremental cost-effectiveness ratios (ICERs) of €218,870 and €231,554 per QALY gained and €620 and €656 per migraine avoided, from the societal and the payer's perspective, respectively. Using a common cost-effectiveness threshold equal to three times the local gross domestic product (GDP) per capita (€49,000), for the erenumab ICERs to fall below this threshold, the erenumab price would have to be no more than €192 (societal perspective) or €173 (payer perspective). CONCLUSION: The prophylactic treatment of CM with erenumab in Greece might be cost effective compared to the existing alternative of onabotulinumtoxinA from both the payer and the societal perspective, but only at a highly discounted price. Nevertheless, erenumab could be considered a therapeutic option for patients who fail treatment with onabotulinumtoxinA.

Racial Disparities in Type of Heart Failure and Hospitalization.

Heart failure (HF) is one of the leading causes of hospitalization and readmissions. Our study aimed to examine racial disparities in heart failure patients including onset, mortality, length of stay (LOS), direct costs, and readmission rates. This is a secondary data analysis. We analyzed the risk-adjusted inpatient data of all patients admitted with HF to one health academic center. We compared five health outcomes among three racial groups (white, black, and Hispanic). There were 1006 adult patients making 1605 visits from 10/01/2011 to 09/30/2015. Most black patients were admitted in younger age than other racial groups which indicates the needs for more public health preventions. With risk adjustments, the racial differences in LOS and readmission rates remain. We stratified health outcomes by race/ethnic and type of HF. The findings suggest that further studies to uncover underlying causes of these disparities are necessary. Using risk-adjusted hospitalization data allows for comparisons of quality of care across three racial groups. The study suggests that more prevention and protection services are needed for African American patients with heart failure.

The Diabetes Management Education Program in South Texas: An Economic and Clinical Impact Analysis.

INTRODUCTION: Diabetes is a major chronic disease that can lead to serious health problems and high healthcare costs without appropriate disease management and treatment. In the United States, the number of people diagnosed with diabetes and the cost for diabetes treatment has dramatically increased over time. To improve patients' self-management skills and clinical outcomes, diabetes management education (DME) programs have been developed and operated in various regions. OBJECTIVE: This community case study explores and calculates the economic and clinical impacts of expanding a model DME program into 26 counties located in South Texas. METHODS: The study sample includes 355 patients with type 2 diabetes and a follow-up hemoglobin A1c level measurement among 1,275 individuals who participated in the DME program between September 2012 and August 2013. We used the Gilmer's cost differentials model and the United Kingdom Prospective Diabetes Study (UKPDS) Risk Engine methodology to predict 3-year healthcare cost savings and 10-year clinical benefits of implementing a DME program in the selected 26 Texas counties. RESULTS: Changes in estimated 3-year cost and the estimated treatment effect were based on baseline hemoglobin A1c level. An average 3-year reduction in medical treatment costs per program participant was $2,033 (in 2016 dollars). The total healthcare cost savings for the 26 targeted counties increases as the program participation rate increases. The total projected cost saving ranges from $12 million with 5% participation rate to $185 million with 75% participation rate. A 10-year outlook on additional clinical benefits associated with the implementation and expansion of the DME program at 60% participation is estimated to result in approximately 4,838 avoided coronary heart disease cases and another 392 cases of avoided strokes. CONCLUSION: The implementation of this model DME program in the selected 26 counties would contribute to substantial healthcare cost savings and clinical benefits. Organizations that provide DME services may benefit from reduction in medical treatment costs and improvement in clinical outcomes for populations with diabetes.

Cost impact of unexpected disposition after orthopedic ambulatory surgery associated with category of anesthesia provider.

STUDY OBJECTIVE: To provide estimates of the costs and health outcomes implications of the excess risk of unexpected disposition for nurse anesthetist (NA) procedures. DESIGN: A projection model was used to apply estimates of costs and health outcomes associated with the excess risk of unexpected disposition for NAs reported in a recent study. SETTING: Ambulatory and inpatient surgery. PATIENTS: Base-case model parameters were based on estimates taken from peer-reviewed publications when available, or from other sources including data for all hospital stays in the United States in 2013 from the Healthcare Cost and Utilization Project Web site. The impact of parameter uncertainty was assessed using 1-way and 2-way sensitivity analyses. INTERVENTIONS: Not applicable. MEASUREMENTS: Major complication rates, relative risks of complications, anesthesia costs, costs of complications, and cost-effectiveness ratios. MAIN RESULTS: In the base-case model, there were on average 2.3 fewer unexpected dispositions for physician anesthesiologists compared with NAs. Overall, anesthesia-related costs (including the cost of managing unexpected dispositions) were estimated to be about $31 higher per procedure for physician anesthesiologists compared with NAs. Alternative model scenarios in the sensitivity analysis produced estimates of smaller additional costs associated with physician anesthesia administration, to the point of cost savings in some scenarios. CONCLUSIONS: Provision of anesthesia for ambulatory knee and shoulder procedures by physician anesthesiologists results in better health outcomes, at a reasonable additional cost, compared with procedures with NA-administered anesthesia, at least when using updated cost-effectiveness willingness-to-pay benchmarks.

Women, family medicine, and career choice: An opportunity cost analysis.

OBJECTIVE: This study compared the cost of physician versus physician assistant (PA) education for women practicing in family medicine. METHODS: Using 2013 salary survey data from both the Medical Group Management Association and the American Academy of PAs as well as other publicly available data sources, the authors compared the current net present value (NPV) of physician and PA training for women practicing in family medicine. RESULTS: Considering a base case scenario involving a 24-year-old woman, the NPV to become a family medicine physician was $2,015,000 compared with an NPV of $1,751,000 to become a family medicine PA. Alternative projections produced an NPV for PA training that slightly exceeded the NPV for family medicine physician training. CONCLUSIONS: For a woman practicing in family medicine, becoming a physician or a PA offers similar financial rewards.

Do rural and urban women experience differing rates of maternal rehospitalizations?

INTRODUCTION: Conditions such as postpartum complications and mental disorders of new mothers contribute to a relatively large number of maternal rehospitalizations and even some deaths. Few studies have examined rural-urban differences in hospital readmissions, and none of them have addressed maternal readmissions. This research directly compares readmissions for patients who delivered in rural versus urban hospitals. METHODS: The data for this cross-sectional study were drawn from the 2011 California Healthcare Cost and Utilization Project. Readmission rates were reported to demonstrate rural-urban differences. Generalized estimating equation models were also used to estimate the likelihood of a new mother being readmitted over time. RESULTS: The 323 051 women who delivered with minor assistance and 158 851 women who delivered by cesarean section (C-section) were included in this study. Of those, seven maternal mortalities occurred after vaginal deliveries and 14 occurred after C-section procedures. Fewer than 1% (0.98% or 3171) women with normal deliveries were rehospitalized. The corresponding number for women delivering via C-section was 1.41% (2243). For both types of deliveries, women giving birth in a rural hospital were more likely to be readmitted. CONCLUSIONS: This is the first study examining rural-urban differences in maternal readmissions. The results indicate the importance of monitoring and potentially improving the quality of maternal care, especially when the delivery involves a C-section. More studies investigating rural health disparities in women's health are clearly necessary.

Economic evaluation of procalcitonin-guided antibiotic therapy in acute respiratory infections: a US health system perspective.

BACKGROUND: Whether or not antibiotic stewardship protocols based on procalcitonin levels results in cost savings remains unclear. Herein, our objective was to assess the economic impact of adopting procalcitonin testing among patients with suspected acute respiratory tract infection (ARI) from the perspective of a typical US integrated delivery network (IDN) with a 1,000,000 member catchment area or enrollment. METHODS: To conduct an economic evaluation of procalcitonin testing versus usual care we built a cost-impact model based on patient-level meta-analysis data of randomized trials. The meta-analytic data was adapted to the US setting by applying the meta-analytic results to US lengths of stay, costs, and practice patterns. We estimated the annual ARI visit rate for the one million member cohort, by setting (inpatient, ICU, outpatient) and ARI diagnosis. RESULTS: In the inpatient setting, the costs of procalcitonin-guided compared to usual care for the one million member cohort was $2,083,545, compared to $2,780,322, resulting in net savings of nearly $700,000 to the IDN for 2014. In the ICU and outpatient settings, savings were $73,326 and $5,329,824, respectively, summing up to overall net savings of $6,099,927 for the cohort. RESULTS were robust for all ARI diagnoses. For the whole US insured population, procalcitonin-guided care would result in $1.6 billion in savings annually. CONCLUSIONS: Our results show substantial savings associated with procalcitonin protocols of ARI across common US treatment settings mainly by direct reduction in unnecessary antibiotic utilization. These results are robust to changes in key parameters, and the savings can be achieved without any negative impact on treatment outcomes.

Can an Internet-based health risk assessment highlight problems of heart disease risk factor awareness? A cross-sectional analysis.

BACKGROUND: Health risk assessments are becoming more popular as a tool to conveniently and effectively reach community-dwelling adults who may be at risk for serious chronic conditions such as coronary heart disease (CHD). The use of such instruments to improve adults' risk factor awareness and concordance with clinically measured risk factor values could be an opportunity to advance public health knowledge and build effective interventions. OBJECTIVE: The objective of this study was to determine if an Internet-based health risk assessment can highlight important aspects of agreement between respondents' self-reported and clinically measured CHD risk factors for community-dwelling adults who may be at risk for CHD. METHODS: Data from an Internet-based cardiovascular health risk assessment (Heart Aware) administered to community-dwelling adults at 127 clinical sites were analyzed. Respondents were recruited through individual hospital marketing campaigns, such as media advertising and print media, found throughout inpatient and outpatient facilities. CHD risk factors from the Framingham Heart Study were examined. Weighted kappa statistics were calculated to measure interrater agreement between respondents' self-reported and clinically measured CHD risk factors. Weighted kappa statistics were then calculated for each sample by strata of overall 10-year CHD risk. Three samples were drawn based on strategies for treating missing data: a listwise deleted sample, a pairwise deleted sample, and a multiple imputation (MI) sample. RESULTS: The MI sample (n=16,879) was most appropriate for addressing missing data. No CHD risk factor had better than marginal interrater agreement (κ>.60). High-density lipoprotein cholesterol (HDL-C) exhibited suboptimal interrater agreement that deteriorated (eg, κ<.30) as overall CHD risk increased. Conversely, low-density lipoprotein cholesterol (LDL-C) interrater agreement improved (eg, up to κ=.25) as overall CHD risk increased. Overall CHD risk of the sample was lower than comparative population-based CHD risk (ie, no more than 15% risk of CHD for the sample vs up to a 30% chance of CHD for the population). CONCLUSIONS: Interventions are needed to improve knowledge of CHD risk factors. Specific interventions should address perceptions of HDL-C and LCL-C. Internet-based health risk assessments such as Heart Aware may contribute to public health surveillance, but they must address selection bias of Internet-based recruitment methods.

Effects of diabetes self-management programs on time-to-hospitalization among patients with type 2 diabetes: a survival analysis model.

OBJECTIVE: This study compared time-to-hospitalization among subjects enrolled in different diabetes self-management programs (DSMP). We sought to determine whether the interventions delayed the occurrence of any acute event necessitating hospitalization. METHODS: Electronic medical records (EMR) were obtained for 376 adults enrolled in a randomized controlled trial (RCT) of Type 2 diabetes (T2DM) self-management programs. All study participants had uncontrolled diabetes and were randomized into either: personal digital assistant (PDA), Chronic Disease Self-Management Program (CDSMP), combined PDA and CDSMP (COM), or usual care (UC) groups. Subjects were followed for a maximum of two years. Time-to-hospitalization was measured as the interval between study enrollment and the occurrence of a diabetes-related hospitalization. RESULTS: Subjects enrolled in the CDSMP-only arm had significantly prolonged time-to-hospitalization (Hazard ratio: 0.10; p=0.002) when compared to subjects in the control arm. Subjects in the PDA-only and combined PDA and CDSMP arms showed no improvements in comparison to the control arm. CONCLUSION: CDSMP can be effective in delaying time-to-hospitalization among patients with T2DM. PRACTICE IMPLICATIONS: Reducing unnecessary healthcare utilization, particularly inpatient hospitalization is a key strategy to improving the quality of health care and lowering associated health care costs. The CDSMP offers the potential to reduce time-to-hospitalization among T2DM patients.

Can chronic disease management programs for patients with type 2 diabetes reduce productivity-related indirect costs of the disease? Evidence from a randomized controlled trial.

The objective was to assess the impacts of diabetes self-management programs on productivity-related indirect costs of the disease. Using an employer's perspective, this study estimated the productivity losses associated with: (1) employee absence on the job, (2) diabetes-related disability, (3) employee presence on the job, and (4) early mortality. Data were obtained from electronic medical records and survey responses of 376 adults aged ≥18 years who were enrolled in a randomized controlled trial of type 2 diabetes self-management programs. All study participants had uncontrolled diabetes and were randomized into one of 4 study arms: personal digital assistant (PDA), chronic disease self-management program (CDSMP), combined PDA and CDSMP, and usual care (UC). The human-capital approach was used to estimate lost productivity resulting from 1, 2, 3, and 4 above, which are summed to obtain total productivity loss. Using robust regression, total productivity loss was modeled as a function of the diabetes self-management programs and other identified demographic and clinical characteristics. Compared to subjects in the UC arm, there were no statistically significant differences in productivity losses among persons undergoing any of the 3 diabetes management interventions. Males were associated with higher productivity losses (+$708/year; P<0.001) and persons with greater than high school education were associated with additional productivity losses (+$758/year; P<0.001). Persons with more than 1 comorbid condition were marginally associated with lower productivity losses (-$326/year; P=0.055). No evidence was found that the chronic disease management programs examined in this trial affect indirect productivity losses.

The relationship between formal and informal care among adult Medicaid Personal Care Services recipients.

OBJECTIVES: To test hypotheses concerning the relationship between formal and informal care and to estimate the impact of hours of formal care authorized for Medicaid Personal Care Services (PCS) on the utilization of informal care. DATA SOURCES/STUDY SETTING: Data included home care use and adult Medicaid beneficiary characteristics from assessments of PCS need in four Medicaid administrative areas in Texas. STUDY DESIGN: Cross-sectional design using ordinary least-squares (OLS) and instrumental variable (IV) methods. DATA COLLECTION/EXTRACTION METHODS: The study database consisted of assessment data on 471 adults receiving Medicaid PCS from 2004 to 2006. PRINCIPAL FINDINGS: Both OLS and IV estimates of the impact of formal care on informal care indicated no statistically significant relationship. The impact of formal care authorized on informal care utilization was less important than the influence of beneficiary need and caregiver availability. Living with a potential informal caregiver dramatically increased the hours of informal care utilized by Medicaid PCS beneficiaries. CONCLUSIONS: More formal home care hours were not associated with fewer informal home care hours. These results imply that policies that decrease the availability of formal home care for Medicaid PCS beneficiaries will not be offset by an increase in the provision of informal care and may result in unmet care needs.

Economics of cancer biomarkers.

Cancer accounts for approximately 13% of all deaths worldwide, and in 2010 the estimated total cost of cancer in the USA was more than US$263 billion. Biomarker use for screening, monitoring, diagnosis and treatment optimization has the potential to improve patient outcomes and reduce costs associated with inappropriate (or suboptimal) therapeutic regimens. Since a new technology may have additional initial cost, a policy question arises regarding whether the improvement in outcomes is attained at a 'reasonable' additional cost compared with existing technology. This paper presents an overview of health economic issues surrounding biomarkers in general, with a focus on cancer care and treatment optimization in particular. While this article is not a systematic review of the literature, it includes relevant examples to provide a real-world perspective.