Tyrosine Kinase Inhibitors and the Relationship With Adherence, Costs, and Health Care Utilization in Commercially Insured Patients With Newly Diagnosed Chronic Myeloid Leukemia: A Retrospective Claims-Based Study.

OBJECTIVE: To examine the association among tyrosine kinase inhibitor (TKI) out-of-pocket costs, adherence, and health care costs and utilization in a large group of commercially insured patients with chronic myeloid leukemia (CML). MATERIALS AND METHODS: Patients with CML aged 18 to 64 years were identified using IBM MarketScan Commercial Database between April 1, 2011 and December 31, 2014. Patients were required to be continuously enrolled 3 months before and 12 months after TKI (imatinib, dasatinib, or nilotinib) initiation. TKI adherence is estimated using the proportion of days covered (PDC), defined as the percentage of the PDC by the prescription fill during the 12-month study period (adherent patients have PDC ≥80%). Health care cost differences between adherent and nonadherent patients were estimated using generalized linear models. Health care utilization was compared using negative binomial regression models. All models were controlled for potential confounding factors. RESULTS: The study sample consisted of 863 patients, where 355 (41.1%) patients were classified as adherent. Over the study period, nonadherent patients incurred US$10,974 more in medical costs (P<0.001), and US$1663 more in non-TKI pharmacy costs (P<0.01). Adherent patients incurred US$28,184 more in TKI pharmacy costs (P<0.001) that resulted in US$18,305 more in overall total health care costs (P<0.001). Adherent patients, however, were estimated to be less likely to have all-cause hospitalizations (incidence rate ratio, 0.32; P<0.001), or CML-specific hospitalizations (incidence rate ratio, 0.31; P<0.01). CONCLUSIONS: Patients with CML with better adherence experienced fewer hospitalizations, resulting in medical service cost savings. These lower medical costs, however, were more than offset by higher TKI medication costs observed during the first year of TKI therapy.

The economic burden of caregiving in epilepsy: An estimate based on a survey of US caregivers.

OBJECTIVE: The burden of caregiving for persons with epilepsy (PWEs) has not been examined previously in the United States. We assessed the clinical impact and direct and indirect economic costs for caregivers of PWEs. METHODS: An internet survey of 500 caregivers of PWEs was conducted from May to July 2015 using a combination of validated instruments and questions designed specifically for this survey. Caregivers were stratified by PWE age (adult/child) and disease severity (low: 0 vs high: 1 + seizures in the prior month). Annual self-reported direct and indirect costs were reported per caregiver and extrapolated to all US caregivers. The economic burden of caregiving for PWEs was defined as the difference between costs for caregivers and the general population. RESULTS: Caregivers reported that PWEs averaged 11.4 seizures in the prior month. Eighty percent of respondents were female and the average age was 44.3. Since becoming a caregiver, many reported anxiety (52.8%), depression (41.0%), and insomnia (30.8%). Annual mean direct medical costs for caregivers of children with low vs high seizure frequency were $4344 and $10 162, respectively. Costs for caregivers of adult PWEs were $4936 and $8518. Mean indirect costs associated with caregiving for a child with low vs high seizure frequency were $20 529 and $40 137; those for caregivers of an adult were $13 981 and $28 410. The cost estimates are higher vs the general US population; annual per-person healthcare utilization costs were $2740 and productivity loss costs were $5015. When extrapolating to the US population of PWE caregivers, annual costs exceeded $62 billion vs $14 billion for the general population, resulting in a caregiver burden of nearly $48 billion. SIGNIFICANCE: The clinical and economic burden of caregivers for PWE were substantial, and greatest for those caring for children with frequent seizures. The impact on caregivers should be considered when estimating the value of interventions that control epilepsy.

Tyrosine Kinase Inhibitors Initiation, Cost Sharing, and Health Care Utilization in Patients with Newly Diagnosed Chronic Myeloid Leukemia: A Retrospective Claims-Based Study.

BACKGROUND: For newly diagnosed chronic myeloid leukemia (CML) patients, early access to tyrosine kinase inhibitors (TKIs) is a consistent predictor of adherence and optimal response. The expense of targeted therapies, however, may result in high out-of-pocket costs for initiating therapy that could be a barrier to starting treatment. OBJECTIVE: To examine the association between TKI out-of-pocket costs, initiation, and health care utilization and costs among patients who initiated TKI within 12 months after initial CML diagnosis. METHODS: Individuals aged 18-64 years with an initial diagnosis of CML were identified in the IBM MarketScan Commercial Database between April 11, 2011, and December 31, 2014. The association between cost sharing and TKI initiation was evaluated using a multivariable logistic regression model applied to patients receiving therapy within a month of diagnosis and within 1-12 months after diagnosis. Health care utilization was compared using negative binomial regression models. Health care cost differences between the 2 patient groups were estimated using generalized linear models. All models were controlled for potential confounding factors. RESULTS: The study sample consisted of 477 patients, with 397 (83.2%) patients initiating TKI within the first month of CML diagnosis and 80 (16.8%) after the first month. Out-of-pocket costs for the initial 30-day supply of TKI medications were not found to be a significant predictor of TKI initiation time. Patients initiating therapy within a month were less likely to have all-cause hospitalizations (IRR = 0.35; P = 0.02) or CML-specific hospitalizations (IRR = 0.27; P < 0.01). Over the 12-month follow-up period, they incurred $9,923 more in TKI pharmacy costs (P < 0.05), but patients initiating therapy after the first month of diagnosis incurred $7,582 more in medical costs, $218 more in non-TKI pharmacy costs, and $2,680 more in total health care costs (P > 0.05). CONCLUSIONS: Patients with TKI initiation within the first month of diagnosis had higher TKI pharmacy costs that were partially offset by lower medical and non-TKI pharmacy costs, resulting in lower overall total health care costs. Findings suggest that earlier TKI initiation may reduce the risks of hospitalizations, which could result in potential medical cost savings in the first 12 months of treatment. DISCLOSURES: No outside funding supported this study. The authors have no relationships or financial interests to report with any entity that would pose a conflict of interest with the subject matter of this article. A poster presentation of the study was made at the 11th American Association for Cancer Research (AACR) Conference on The Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved, on November 2-5, 2018, in New Orleans, LA.

Innovating patient care delivery: DSRIP's interrupted time series analysis paradigm.

INTRODUCTION: Adoption of Medicaid Section 1115 waiver is one of the many ways of innovating healthcare delivery system. The Delivery System Reform Incentive Payment (DSRIP) pool, one of the two funding pools of the waiver has four categories viz. infrastructure development, program innovation and redesign, quality improvement reporting and lastly, bringing about population health improvement. BACKGROUND: A metric of the fourth category, preventable hospitalization (PH) rate was analyzed in the context of eight conditions for two time periods, pre-reporting years (2010-2012) and post-reporting years (2013-2015) for two hospital cohorts, DSRIP participating and non-participating hospitals. The study explains how DSRIP impacted Preventable Hospitalization (PH) rates of eight conditions for both hospital cohorts within two time periods. METHODS: Eight PH rates were regressed as the dependent variable with time, intervention and post-DSRIP Intervention as independent variables. PH rates of eight conditions were then consolidated into one rate for regressing with the above independent variables to evaluate overall impact of DSRIP. An interrupted time series regression was performed after accounting for auto-correlation, stationarity and seasonality in the dataset. RESULTS: In the individual regression model, PH rates showed statistically significant coefficients for seven out of eight conditions in DSRIP participating hospitals. In the combined regression model, the coefficient of the PH rate showed a statistically significant decrease with negative p-values for regression coefficients in DSRIP participating hospitals compared to positive/increased p-values for regression coefficients in DSRIP non-participating hospitals. CONCLUSION AND IMPLICATIONS: Several macro- and micro-level factors may have likely contributed DSRIP hospitals outperforming DSRIP non-participating hospitals. Healthcare organization/provider collaboration, support from healthcare professionals, DSRIP's design, state reimbursement and coordination in care delivery methods may have led to likely success of DSRIP. LEVEL OF EVIDENCE: IV, a retrospective cohort study based on longitudinal data.

Addition of mHealth (mobile health) for family planning support in Kenya: disparities in access to mobile phones and associations with contraceptive knowledge and use.

BACKGROUND: Recently mobile health (mHealth) has been implemented in Kenya to support family planning. Our objectives were to investigate disparities in mobile phone ownership and to examine the associations between exposure to family planning messages through mHealth (stand-alone or combined with other channels such as public forums, informational materials, health workers, social media and political/religious/community leaders' advocacy) and contraceptive knowledge and use. METHODS: Logistic and Poisson regression models were used to analyze the 2014 Kenya Demographic and Health Survey. RESULTS: Among 31 059 women, 86.7% had mobile phones and were more likely to have received higher education, have children ≤5 y of age and tended to be wealthier or married. Among 7397 women who were sexually active, owned a mobile phone and received family planning messages through at least one channel, 89.8% had no exposure to mHealth. mHealth alone was limited in improving contraceptive knowledge and use but led to intended outcomes when used together with four other channels compared with other channels only (knowledge: incidence rate ratio 1.084 [95% confidence interval {CI} 1.063-1.106]; use: odds ratio 1.429 [95% CI 1.026-1.989]). CONCLUSIONS: Socio-economic disparities existed in mobile phone ownership, and mHealth alone did not improve contraceptive knowledge and use among Kenyan women. However, mHealth still has potential for family planning when used with existing channels.

The primary prevention of epilepsy: A report of the Prevention Task Force of the International League Against Epilepsy.

Among the causes of epilepsy are several that are currently preventable. In this review, we summarize the public health burden of epilepsy arising from such causes and suggest priorities for primary epilepsy prevention. We conducted a systematic review of published epidemiologic studies of epilepsy of 4 preventable etiologic categories-perinatal insults, traumatic brain injury (TBI), central nervous system (CNS) infection, and stroke. Applying consistent criteria, we assessed the quality of each study and extracted data on measures of risk from those with adequate quality ratings, summarizing findings across studies as medians and interquartile ranges. Among higher-quality population-based studies, the median prevalence of active epilepsy across all ages was 11.1 per 1000 population in lower- and middle-income countries (LMIC) and 7.0 per 1000 in high-income countries (HIC). Perinatal brain insults were the largest attributable fraction of preventable etiologies in children, with median estimated fractions of 17% in LMIC and 15% in HIC. Stroke was the most common preventable etiology among older adults with epilepsy, both in LMIC and in HIC, accounting for half or more of all new onset cases. TBI was the attributed cause in nearly 5% of epilepsy cases in HIC and LMIC. CNS infections were a more common attributed cause in LMIC, accounting for about 5% of all epilepsy cases. Among some rural LMIC communities, the median proportion of epilepsy cases attributable to endemic neurocysticercosis was 34%. A large proportion of the overall public health burden of epilepsy is attributable to preventable causes. The attributable fraction for perinatal causes, infections, TBI, and stroke in sum reaches nearly 25% in both LMIC and HIC. Public health interventions addressing maternal and child health care, immunizations, public sanitation, brain injury prevention, and stroke prevention have the potential to significantly reduce the burden of epilepsy.

Demographic and Clinical Correlates of Seizure Frequency: Findings from the Managing Epilepsy Well Network Database.

BACKGROUND AND PURPOSE: Epilepsy is a chronic neurological disease that represents a tremendous burden on both patients and society in general. Studies have addressed how demographic variables, socioeconomic variables, and psychological comorbidity are related to the quality of life (QOL) of people with epilepsy (PWE). However, there has been less focus on how these factors may differ between patients who exhibit varying degrees of seizure control. This study utilized data from the Managing Epilepsy Well (MEW) Network of the Centers for Disease Control and Prevention with the aim of elucidating differences in demographic variables, depression, and QOL between adult PWE. METHODS: Demographic variables, depression, and QOL were compared between PWE who experience clinically relevant differences in seizure occurrence. RESULTS: Gender, ethnicity, race, education, income, and relationship status did not differ significantly between the seizure-frequency categories (p>0.05). People with worse seizure control were significantly younger (p=0.039), more depressed (as assessed using the Patient Health Questionnaire) (p=0.036), and had lower QOL (as determined using the 10-item Quality of Life in Epilepsy for Adults scale) (p<0.001). CONCLUSIONS: The present results underscore the importance of early screening, detection, and treatment of depression, since these factors relate to both seizure occurrence and QOL in PWE.

Rationale and Design of a Statewide Cohort to examine efficient resource utilization for patients with Intracerebral hemorrhage (EnRICH).

BACKGROUND: Intracerebral hemorrhage is a devastating disease with no specific treatment modalities. A significant proportion of patients with intracerebral hemorrhage are transferred to large stroke treatment centers, such as Comprehensive Stroke Centers, because of perceived need for higher level of care. However, evidence of improvement in patient-centered outcomes for these patients treated at larger stroke treatment centers as compared to community hospitals is lacking. METHODS / DESIGN: "Efficient Resource Utilization for Patients with Intracerebral Hemorrhage (EnRICH)" is a prospective, multisite, state-wide, cohort study designed to assess the impact of level of care on long-term patient-centered outcomes for patients with primary / non-traumatic intracerebral hemorrhage. The study is funded by the Texas state legislature via the Lone Star Stroke Research Consortium. It is being implemented via major hub hospitals in large metropolitan cities across the state of Texas. Each hub has an extensive network of "spoke" hospitals, which are connected to the hub via traditional clinical and administrative arrangements, or by telemedicine technologies. This infrastructure provides a unique opportunity to track outcomes for intracerebral hemorrhage patients managed across a health system at various levels of care. Eligible patients are enrolled during hospitalization and are followed for functional, quality of life, cognitive, resource utilization, and dependency outcomes at 30 and 90 days post discharge. As a secondary aim, an economic analysis of the incremental cost-effectiveness of treating intracerebral hemorrhage patients at higher levels of care will be conducted. DISCUSSION: Findings from EnRICH will provide much needed evidence of the effectiveness and efficiency of regionalized care for intracerebral hemorrhage patients. Such evidence is required to inform policy and streamline clinical decision-making.

Oncologic emergencies in a cancer center emergency department and in general emergency departments countywide and nationwide.

BACKGROUND: Although cancer patients (CPs) are increasingly likely to visit emergency department (ED), no population-based study has compared the characteristics of CPs and non-cancer patients (NCPs) who visit the ED and examined factors associated with hospitalization via the ED. In this study, we (1) compared characteristics and diagnoses between CPs and NCPs who visited the ED in a cancer center or general hospital; (2) compared characteristics and diagnoses between CPs and NCPs who were hospitalized via the ED in a cancer center or general hospital; and (3) investigated important factors associated with such hospitalization. METHODS AND FINDINGS: We analyzed patient characteristic and diagnosis [based on International Classification of Diseases-9 (ICD-9) codes] data from the ED of a comprehensive cancer center (MDACC), 24 general EDs in Harris County, Texas (HCED), and the National Hospital Ambulatory Medical Care Survey (NHAMCS) from 1/1/2007-12/31/2009. Approximately 3.4 million ED visits were analyzed: 47,245, 3,248,973, and 104,566 visits for MDACC, HCED, and NHAMCS, respectively, of which 44,143 (93.4%), 44,583 (1.4%), and 632 (0.6%) were CP visits. CPs were older than NCPs and stayed longer in EDs. Lung, gastrointestinal (excluding colorectal), and genitourinary (excluding prostate) cancers were the three most common diagnoses related to ED visits at general EDs. CPs visiting MDACC were more likely than CPs visiting HCED to be privately insured. CPs were more likely than NCPs to be hospitalized. Pneumonia and influenza, fluid and electrolyte disorders, and fever were important predictive factors for CP hospitalization; coronary artery disease, cerebrovascular disease, and heart failure were important factors for NCP hospitalization. CONCLUSIONS: CPs consumed more ED resources than NCPs and had a higher hospitalization rate. Given the differences in characteristics and diagnoses between CPs and NCPs, ED physicians must pay special attention to CPs and be familiar with their unique set of oncologic emergencies.

m-Health Policy Readiness and Enabling Factors: Comparisons of Sub-Saharan Africa and Organization for Economic Cooperation and Development Countries.

BACKGROUND: As an innovative solution to poor access to care in low- and middle-income countries (LMICs), m-health has gained wide attention in the past decade. INTRODUCTION: Despite enthusiasm from the global health community, LMICs have not demonstrated high uptake of m-health promoting policies or public investment. MATERIALS AND METHODS: To benchmark the current status, this study compared m-health policy readiness scores between sub-Saharan Africa and high-income Organization for Economic Cooperation and Development (OECD) countries using an independent two-sample t test. In addition, the enabling factors associated with m-health policy readiness were investigated using an ordinal logistic regression model. The study was based on the m-health policy readiness scores of 112 countries obtained from the World Health Organization Third Global Survey on e-Health. RESULTS: The mean m-health policy readiness score for sub-Saharan Africa was statistically significantly lower than that for OECD countries (p = 0.02). The enabling factors significantly associated with m-health policy readiness included information and communication technology development index (odds ratio [OR] 1.57; 95% confidence interval [CI] 1.12-2.2), e-health education for health professionals (OR 4.43; 95% CI 1.60-12.27), and the location in sub-Saharan Africa (OR 3.47; 95% CI 1.06-11.34). DISCUSSION: The findings of our study suggest dual policy goals for m-health in sub-Saharan Africa. First, enhance technological and educational support for m-health. Second, pursue global collaboration for building m-health capacity led by sub-Saharan African countries with hands-on experience and knowledge. CONCLUSION: Globally, countries should take a systematic and collaborative approach in pursuing m-health policy with the focus on technological and educational support.

Clinic-Based Mobile Health Decision Support to Enhance Adult Epilepsy Self-Management: An Intervention Mapping Approach.

INTRODUCTION: Epilepsy is a neurological disorder involving recurrent seizures. It affects approximately 5 million people in the U.S. To optimize their quality of life people with epilepsy are encouraged to engage in self-management (S-M) behaviors. These include managing their treatment (e.g., adhering to anti-seizure medication and clinical visit schedules), managing their seizures (e.g., responding to seizure episodes), managing their safety (e.g., monitoring and avoiding environmental seizure triggers), and managing their co-morbid conditions (e.g., anxiety, depression). The clinic-based Management Information Decision Support Epilepsy Tool (MINDSET) is a decision-support system founded on theory and empirical evidence. It is designed to increase awareness by adult patients (≥18 years) and their health-care provider regarding the patient's epilepsy S-M behaviors, facilitate communication during the clinic visit to prioritize S-M goals and strategies commensurate with the patient's needs, and increase the patient's self-efficacy to achieve those goals. METHODS: The purpose of this paper is to describe the application of intervention mapping (IM) to develop, implement, and formatively evaluate the clinic-based MINDSET prototype and in developing implementation and evaluation plans. Deliverables comprised a logic model of the problem (IM Step 1); matrices of program objectives (IM Step 2); a program planning document comprising scope, sequence, theory-based methods, and practical strategies (IM Step 3); a functional MINDSET program prototype (IM Step 4); plans for implementation (IM Step 5); and evaluation (IM Step 6). IM provided a logical and systematic approach to developing and evaluating clinic-based decision support toward epilepsy S-M.

The Managing Epilepsy Well Network:: Advancing Epilepsy Self-Management.

Epilepsy, a complex spectrum of disorders, affects about 2.9 million people in the U.S. Similar to other chronic disorders, people with epilepsy face challenges related to management of the disorder, its treatment, co-occurring depression, disability, social disadvantages, and stigma. Two national conferences on public health and epilepsy (1997, 2003) and a 2012 IOM report on the public health dimensions of epilepsy highlighted important knowledge gaps and emphasized the need for evidence-based, scalable epilepsy self-management programs. The Centers for Disease Control and Prevention translated recommendations on self-management research and dissemination into an applied research program through the Prevention Research Centers Managing Epilepsy Well (MEW) Network. MEW Network objectives are to advance epilepsy self-management research by developing effective interventions that can be broadly disseminated for use in people's homes, healthcare providers' offices, or in community settings. The aim of this report is to provide an update on the MEW Network research pipeline, which spans efficacy, effectiveness, and dissemination. Many of the interventions use e-health strategies to eliminate barriers to care (e.g., lack of transportation, functional limitations, and stigma). Strengths of this mature research network are the culture of collaboration, community-based partnerships, e-health methods, and its portfolio of prevention activities, which range from efficacy studies engaging hard-to-reach groups, to initiatives focused on provider training and knowledge translation. The MEW Network works with organizations across the country to expand its capacity, help leverage funding and other resources, and enhance the development, dissemination, and sustainability of MEW Network programs and tools. Guided by national initiatives targeting chronic disease or epilepsy burden since 2007, the MEW Network has been responsible for more than 43 scientific journal articles, two study reports, seven book chapters, and 62 presentations and posters. To date, two programs have been adopted and disseminated by the national Epilepsy Foundation, state Epilepsy Foundation affiliates, and other stakeholders. Recent expansion of the MEW Network membership will help to extend future reach and public health impact.

Delays in Seeking Health Care: Comparison of Veterans and the General Population.

OBJECTIVES: Recent reports of delays in receiving care among U.S. Veterans have received national attention. Such delays may have an effect on veterans' propensity to seek healthcare as well, which could be detrimental to their health. There exists no evidence at the national level of the magnitude of perceived care delay in the Veterans Affairs (VA) system and how it compares to populations with other types of insurance coverage in the U.S. STUDY DESIGN AND METHODS: This cross-sectional study analyzed a recent nationally representative survey database (n = 10,907). Descriptive and multivariate regression analyses were performed to determine how care delay for veterans compares with the general population. RESULTS: We found that 17.2% of Americans delayed seeking needed healthcare in 2010-2011, but the figure was 29% for veterans. Also, there was a significant association of care delay with VA health care coverage after adjusting for other personal factors and region of the country. CONCLUSIONS: Study results suggest a possible link between VA access problems and veterans' behavior in seeking needed healthcare, which may be creating disparities in the effectiveness of care for this vulnerable and deserving population. Our study provides evidence of self-reported care delay among veterans. More studies are necessary to further understand factors in relation to delaying seeking care among veterans.

Factors Associated With the Likelihood of Hospitalization Following Emergency Department Visits for Behavioral Health Conditions.

OBJECTIVES: Behavioral health-related emergency department (ED) visits have been linked with ED overcrowding, an increased demand on limited resources, and a longer length of stay (LOS) due in part to patients being admitted to the hospital but waiting for an inpatient bed. This study examines factors associated with the likelihood of hospital admission for ED patients with behavioral health conditions at 16 hospital-based EDs in a large urban area in the southern United States. METHODS: Using Andersen's Behavioral Model of Health Service Use for guidance, the study examined the relationship between predisposing (characteristics of the individual, i.e., age, sex, race/ethnicity), enabling (system or structural factors affecting healthcare access), and need (clinical) factors and the likelihood of hospitalization following ED visits for behavioral health conditions (n = 28,716 ED visits). In the adjusted analysis, a logistic fixed-effects model with blockwise entry was used to estimate the relative importance of predisposing, enabling, and need variables added separately as blocks while controlling for variation in unobserved hospital-specific practices across hospitals and time in years. RESULTS: Significant predisposing factors associated with an increased likelihood of hospitalization following an ED visit included increasing age, while African American race was associated with a lower likelihood of hospitalization. Among enabling factors, arrival by emergency transport and a longer ED LOS were associated with a greater likelihood of hospitalization while being uninsured and the availability of community-based behavioral health services within 5 miles of the ED were associated with lower odds. Among need factors, having a discharge diagnosis of schizophrenia/psychotic spectrum disorder, an affective disorder, a personality disorder, dementia, or an impulse control disorder as well as secondary diagnoses of suicidal ideation and/or suicidal behavior increased the likelihood of hospitalization following an ED visit. CONCLUSION: The block of enabling factors was the strongest predictor of hospitalization following an ED visit compared to predisposing and need factors. Our findings also provide evidence of disparities in hospitalization of the uninsured and racial and ethnic minority patients with ED visits for behavioral health conditions. Thus, improved access to community-based behavioral health services and an increased capacity for inpatient psychiatric hospitals for treating indigent patients may be needed to improve the efficiency of ED services in our region for patients with behavioral health conditions. Among need factors, a discharge diagnosis of schizophrenia/psychotic spectrum disorder, an affective disorder, a personality disorder, an impulse control disorder, or dementia as well as secondary diagnoses of suicidal ideation and/or suicidal behavior increased the likelihood of hospitalization following an ED visit, also suggesting an opportunity for improving the efficiency of ED care through the provision of psychiatric services to stabilize and treat patients with serious mental illness.

Primary Care Availability, Safety Net Clinics, and Health Insurance Coverage: The Association of These Access Factors With Preventable Hospitalizations.

The objective of the study was to examine the relationship between physician/safety net availability and health insurance coverage and preventable hospitalizations (PHs) in nonelderly adults in an urban area. Preventable conditions (PHs) were identified for nonelderly adults in Harris County using the Texas Health Care Information Collection hospital database. Multivariable logistic regression models examined the association of health insurance and patient proximity to physicians and safety net clinics with the risk of a PH. Safety net availability reduced PH risk by 23% (P < .05) but only among the uninsured. Lack of health insurance increased PH risk by 30% (P < .05).

Physician report of industry gifts and quality of care.

BACKGROUND: Physician financial conflict of interest is a concern in the delivery of medicine because of its possible influence on the cost and the quality of patient care. There has been an extensive discussion of the ethical, economic, and legal aspects of this issue but little direct empirical evidence of its magnitude or effects. METHODOLOGY: A nationally representative survey (n = 4,720) was used to empirically examine physician self-report of receipt of financial gifts from the pharmaceutical and medical devices industry and its association with their ability to provide quality care. FINDINGS: Results indicate that the vast majority of physicians receive industry gifts in various forms, and the receipt of gifts is associated with lower perceived quality of patient care. There is also an inverse relationship between the frequency of received gifts and the perceived quality of care. PRACTICE IMPLICATIONS: Physicians need to be aware of the widespread receipt of industry gifts in medical practice and the potential adverse impact of such receipts on the delivery of care.

Predictors of psychiatric readmission among patients with bipolar disorder at an academic safety-net hospital.

OBJECTIVE: Even with treatment, approximately one-third of patients with bipolar disorder relapse into depression or mania within 1 year. Unfavorable clinical outcomes for patients with bipolar disorder include increased rates of psychiatric hospitalization and functional impairment. However, only a few studies have examined predictors of psychiatric hospital readmission in a sample of patients with bipolar disorder. The purpose of this study was to examine predictors of psychiatric readmission within 30 days, 90 days and 1 year of discharge among patients with bipolar disorder using a conceptual model adapted from Andersen's Behavioral Model of Health Service Use. METHODS: In this retrospective study, univariate and multivariate logistic regression analyses were conducted in a sample of 2443 adult patients with bipolar disorder who were consecutively admitted to a public psychiatric hospital in the United States from 1 January to 31 December 2013. RESULTS: In the multivariate models, several enabling and need factors were significantly associated with an increased risk of readmission across all time periods examined, including being uninsured, having ⩾3 psychiatric hospitalizations and having a lower Global Assessment of Functioning score. Additional factors associated with psychiatric readmission within 30 and 90 days of discharge included patient homelessness. Patient race/ethnicity, bipolar disorder type or a current manic episode did not significantly predict readmission across all time periods examined; however, patients who were male were more likely to readmit within 1 year. The 30-day and 1-year multivariate models showed the best model fit. CONCLUSION: Our study found enabling and need factors to be the strongest predictors of psychiatric readmission, suggesting that the prevention of psychiatric readmission for patients with bipolar disorder at safety-net hospitals may be best achieved by developing and implementing innovative transitional care initiatives that address the issues of multiple psychiatric hospitalizations, housing instability, insurance coverage and functional impairment.

The direct cost of epilepsy in the United States: A systematic review of estimates.

OBJECTIVE: To develop estimates of the direct cost of epilepsy in the United States for the general epilepsy population and sub-populations by systematically comparing similarities and differences in types of estimates and estimation methods from recently published studies. METHODS: Papers published since 1995 were identified by systematic literature search. Information on types of estimates, study designs, data sources, types of epilepsy, and estimation methods was extracted from each study. Annual per person cost estimates from methodologically similar studies were identified, converted to 2013 U.S. dollars, and compared. RESULTS: From 4,104 publications discovered in the literature search, 21 were selected for review. Three were added that were published after the search. Eighteen were identified that reported estimates of average annual direct costs for the general epilepsy population in the United States. For general epilepsy populations (comprising all clinically defined subgroups), total direct healthcare costs per person ranged from $10,192 to $47,862 and epilepsy-specific costs ranged from $1,022 to $19,749. Four recent studies using claims data from large general populations yielded relatively similar epilepsy-specific annual cost estimates ranging from $8,412 to $11,354. Although more difficult to compare, studies examining direct cost differences for epilepsy sub-populations indicated a consistent pattern of markedly higher costs for those with uncontrolled or refractory epilepsy, and for those with comorbidities. SIGNIFICANCE: This systematic review found that various approaches have been used to estimate the direct costs of epilepsy in the United States. However, recent studies using large claims databases and similar methods allow estimation of the direct cost burden of epilepsy for the general disease population, and show that it is greater for some patient subgroups. Additional research is needed to further understand the broader economic burden of epilepsy and how it varies across subpopulations.

Survival Benefits of Treatment Access Among Underserved Breast Cancer Patients Diagnosed Through the Texas Breast and Cervical Cancer Services Program.

PURPOSE: The Texas Breast and Cervical Cancer Services (BCCS) program was established to address socioeconomic disparities in breast and cervical cancer screening and survival. This study examined the impact of the program on treatment and survival of breast cancer patients. METHODS: A retrospective analysis was performed using the Texas Cancer Registry data linked to the BCCS program data. The sample consisted of 40- to 64-year-old women screened and diagnosed with breast cancer through the BCCS program (participants) and similar women living in low socioeconomic status census tracts and diagnosed outside the program (comparison group) during 1995-2008. Regular screeners among the participants were also compared with the comparison group. RESULTS: Participants had lower rates of breast surgery and higher rates of chemotherapy as compared with the comparison group. Participants undergoing surgery had higher rates of mastectomy (as compared with breast-conserving surgery) and lower rates of adjuvant radiation therapy. Unadjusted survival rates were similar between the participants and the comparison group, and higher among regular screeners, which was primarily driven by stage at diagnosis. Adjusted survival rates were similar between the 3 groups. CONCLUSIONS: Although there are differences in the types of treatment provided to the participants and the comparison group, there is no evidence of guideline noncompliance or stage-inappropriate treatment provision in either of the groups. Despite being diagnosed with a more advanced stage, the participants had similar unadjusted and adjusted survival rates as the comparison group. Access to timely treatment improved survival and brought the underserved participants on par with the comparison group.