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Background: Health care insurance fraud is on the rise in many ways, such as falsifying information and hiding third-party liability. This can result in significant losses for the medical health insurance industry. Consequently, fraud detection is crucial. Currently, companies employ auditors who manually evaluate records and pinpoint fraud. However, an automated and effective method is needed to detect fraud with the continually increasing number of patients seeking health insurance. Blockchain is an emerging technology and is constantly evolving to meet business needs. With its characteristics of immutability, transparency, traceability, and smart contracts, it demonstrates its potential in the health care domain. In particular, self-executable smart contracts are essential to reduce the costs associated with traditional paradigms, which are mostly manual, while preserving privacy and building trust among health care stakeholders, including the patient and the health insurance networks. However, with the proliferation of blockchain development platform options, selecting the right one for health care insurance can be difficult. This study addressed this void and developed an automated decision map recommender system to select the most effective blockchain platform for insurance fraud detection., Objective: This study aims to develop smart contracts for detecting health care insurance fraud efficiently. Therefore, we provided a taxonomy of fraud scenarios and implemented their detection using a blockchain platform that was suitable for health care insurance fraud detection. To automatically and efficiently select the best platform, we proposed and implemented a decision map-based recommender system. For developing the decision-map, we proposed a taxonomy of 102 blockchain platforms., Methods: We developed smart contracts for 12 fraud scenarios that we identified in the literature. We used the top 2 blockchain platforms selected by our proposed decision-making map-based recommender system, which is tailored for health care insurance fraud. The map used our taxonomy of 102 blockchain platforms classified according to their application domains., Results: The recommender system demonstrated that Hyperledger Fabric was the best blockchain platform for identifying health care insurance fraud. We validated our recommender system by comparing the performance of the top 2 platforms selected by our system. The blockchain platform taxonomy that we created revealed that 59 blockchain platforms are suitable for all application domains, 25 are suitable for financial services, and 18 are suitable for various application domains. We implemented fraud detection based on smart contracts., Conclusions: Our decision map recommender system, which was based on our proposed taxonomy of 102 platforms, automatically selected the top 2 platforms, which were Hyperledger Fabric and Neo, for the implementation of health care insurance fraud detection. Our performance evaluation of the 2 platforms indicated that Fabric surpassed Neo in all performance metrics, as depicted by our recommender system. We provided an implementation of fraud detection based on smart contracts., (©Rima Kaafarani, Leila Ismail, Oussama Zahwe. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 18.10.2024.)

Introduction: Alveolar bone grafting (ABG) delay can lead to suboptimal outcomes. This study seeks to categorize reasons patients with cleft lip and palate have no record of ABG or who underwent later than typical ABG (≥13 years)., Methods: At a single tertiary care center, a retrospective review was performed of all patients with unilateral, complete cleft lip and palate, born 1998-2005. Database query identified which patients had timely, late, or no record of ABG. The retrospective cohort study was performed to categorize ABG delay or absence of recorded ABG., Results: Of 135 participants, 82 (61%) had timely, 8 (6%) had late, and 45 (33%) had no record of ABG. The primary factor for late ABG was noncompliance or refusal (n = 5 of 8, 63%), comorbidity or medical complexity (n = 1 of 8, 13%), orthodontic unpreparedness (n = 1 of 8, 13%), or inaccurate prior assessment of alveolar sufficiency (n = 1 of 8, 13%). The primary factor for ABG record absence was loss to follow-up (n = 40 of 45, 89%), noncompliance or refusal (n = 3 of 45, 7%), comorbidity or medical complexity (n = 1 of 45, 2%), or orthodontic unpreparedness (n = 1 of 45, 2%). Racial majority (White, Asian) patients received preferred care (timely ABG or medically appropriate absence or delay) at a significantly higher rate (67%) than underrepresented minorities (African American, Hispanic, Native American, other) (35%, P = 0.016). Families with private insurance and those who were self-pay received preferred care at a significantly higher rate (77%) than families with Medicaid (42%) (P <0.001)., Conclusions: The high number of patients lost to follow-up highlights the impact of poor retention on ABG completion. Possible health disparities based on race and insurance status warrant clinical focus., (Copyright © 2022 American Association of Orthodontists. Published by Elsevier Inc. All rights reserved.)

Objective: Patients with head and neck cancer with Medicaid or no insurance present at a more advanced stage and have lower survival. This study is one of the first to examine the relationship between specific insurance types and overall survival for laryngeal squamous cell carcinoma patients., Study Design: Retrospective chart review., Setting: Henry Ford Cancer Institute., Subjects and Methods: A retrospective database review was performed using the Henry Ford Virtual Data Warehouse Tumor Registry. Six hundred and fifty patients diagnosed with laryngeal squamous cell carcinoma were identified. Insurance groups analyzed were fee for service, health maintenance organization, Henry Ford Medical Group - a managed care type insurance, Medicare and Medicaid/uninsured. Cox proportional hazards and Kaplan-Meier curves were generated to analyze overall survival and display survival differences respectively., Results: The uninsured group had the lowest median survival time of 29.8 months (95% CI: 20.3-44.8) and the highest HR of 1.85 (95% CI 1.16-2.93) as compared to the HMO group at p < 0.001. Patients with fee for service insurance had longer overall survival compared to the other insurance types. Patients with fee for service insurance also had a high proportion of patients with advanced stage disease, but a younger mean age. Henry Ford Medical Group had a higher mean age and no statistically significant difference in survival when compared to fee for service. (p = 0.999) After controlling for socioeconomic status, insurance type remains a significant predictor of overall survival., Conclusions: Fee for service had the highest overall survival of the different insurance types, but it was only statistically significant when compared to the Medicaid/uninsured group., (Copyright © 2021 Elsevier Inc. All rights reserved.)

Background: High-deductible health plans (HDHPs) are increasing in prevalence as a cost control device for slowing health care cost growth by reducing nonessential medical service utilization. High cost-sharing associated with HDHPs can lead to significant financial distress and worse disease outcomes. We hypothesize that chronic disease patients are delaying or foregoing necessary medical care due to health care costs., Methods: A retrospective cohort analysis of IBD patients at risk for high medical service utilization with continuous enrollment in either an HDHP or THP from 2009 to 2016 were identified using the MarketScan database. Health care costs were compared between insurance plan groups by Kruskal-Wallis test. Temporal trends in office visits, colonoscopies, emergency department (ED) visits, and hospitalizations were evaluated using additive decomposition time series analysis., Results: Of 605,862 patients with a diagnosis of IBD, we identified 13,052 eligible patients. Annual out-of-pocket costs were higher in the HDHP group (n = 524) than the THP group (n = 12,458) ($2870 vs $1,864; P < 0.001) without any difference in total health care expenses ($23,029 vs $23,794; P = 0.583). Enrollment in an HDHP influenced colonoscopy, ED visit, and hospitalization utilization timing. Colonoscopies peaked in the fourth quarter, ED visits peaked in the first quarter, and hospitalizations peaked in the third and fourth quarter., Conclusions: High-deductible health plan enrollment does not change the cost of care; however, it shifts health care costs onto patients and changes the timing of the care they receive. High-deductible health plans are incentivizing delays in obtaining health care with a potential to cause worse disease outcomes and financial distress. Further evaluation is warranted., (© 2020 Crohn’s & Colitis Foundation. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Importance: Rehospitalization after major surgery is common and represents a significant cost to the health care system. Little is known regarding the causes of these readmissions and the degree to which they may be preventable., Objective: To evaluate the degree to which readmissions after major surgery are potentially preventable., Design, Setting, and Participants: This retrospective cohort study used a weighted sample of 1 937 354 patients from the 2017 National Readmissions Database to evaluate all adult inpatient hospitalizations for 1 of 7 common major surgical procedures. Statistical analysis was performed from January 14 to November 30, 2020., Main Outcomes and Measures: The study calculated 90-day readmission rates as well as rates of readmissions that were considered potentially preventable. Potentially preventable readmissions (PPRs) were defined as those with a primary diagnosis code for superficial surgical site infection, acute kidney injury, aspiration pneumonitis, or any of the Agency for Healthcare Research and Quality-defined ambulatory care sensitive conditions. Multivariable logistic regression was used to identify factors associated with PPRs., Results: A total weighted sample of 1 937 354 patients (1 048 046 women [54.1%]; mean age, 66.1 years [95% CI, 66.0-66.3 years]) underwent surgical procedures; 164 755 (8.5%) experienced a readmission within 90 days. Potentially preventable readmissions accounted for 29 321 (17.8%) of all 90-day readmissions, for an estimated total cost to the US health care system of approximately $296 million. The most common reasons for PPRs were congestive heart failure exacerbation (34.6%), pneumonia (12.0%), and acute kidney injury (22.5%). In a multivariable model of adults aged 18 to 64 years, patients with public health insurance (Medicare or Medicaid) had more than twice the odds of PPR compared with those with private insurance (adjusted odds ratio, 2.09; 95% CI, 1.94-2.25). Among patients aged 65 years or older, patients with private insured had 18% lower odds of PPR compared with patients with Medicare as the primary payer (adjusted odds ratio, 0.82; 95% CI, 0.74-0.90)., Conclusions and Relevance: This study suggests that nearly 1 in 5 readmissions after surgery are potentially preventable and account for nearly $300 million in costs. In addition to better inpatient care, improved access to ambulatory care may represent an opportunity to reduce costly readmissions among surgical patients.

We examined the incidence of toxic shock syndrome in the United States during 2006-2018 among persons <21 years old with commercial or Medicaid-insurance using administrative data. There were 1008 commercially-insured and 481 Medicaid-insured toxic shock syndrome cases. The annual rate was 1 per 100,000 and stable over time. Rates were even lower in children <5 years old and stable over time., Competing Interests: The authors have no funding or conflicts of interest to disclose., (Copyright © 2021 Wolters Kluwer Health, Inc. All rights reserved.)

Background: In the era of personalized medicine, cancer care is subject to major changes and innovations. It is unclear, however, to what extent implementation of such innovations and their impact on patient outcomes differ by health insurance type. This study compared provision of treatment and survival outcomes among patients with colorectal cancer (CRC) who had statutory health insurance (SHI) versus private health insurance (PHI) in Germany., Methods: We analyzed patterns of CRC treatment (surgery, chemotherapy/radiotherapy, and targeted therapy) and survival in a large cohort of patients who were diagnosed with CRC in 2003 through 2014 and were observed for an average of 6 years. Associations of type of health insurance with treatment administration and with overall, CRC-specific, and recurrence-free survival were investigated using multivariable logistic and Cox proportional hazards models, respectively., Results: Of 3,977 patients with CRC, 427 (11%) had PHI. Although type of health insurance was not associated with treatment administration in patients with stage I-III disease, those with stage IV disease with PHI more often received targeted therapy (65% vs 40%; odds ratio, 2.43; 95% CI, 1.20-4.91), with differences decreasing over time because of catch-up of uptake rates in patients with SHI. Median overall survival was longer in patients with PHI than in those with SHI (137.0 vs 114.9 months; P=.010), but survival advantages were explained to a large extent by differences in sociodemographic factors. In patients with stage IV disease, survival advantages of PHI were nonsignificant and were restricted to the early years after diagnosis., Conclusions: We observed major differences in uptake of targeted therapy between patients with PHI and those with SHI but no differences in patient survival after adjusting for relevant sociodemographic, clinical, and tumor characteristics. Further studies are needed on factors associated with the uptake of therapeutic innovations and their impact on patient survival by health insurance type.

Objective: The characteristics of surgical patients were examined according to type of health insurance to determine whether differences existed between these groups., Methods: We evaluated the characteristics of cases in the UPR General Surgery Department's database (entered from January 1, 2018 through December 31, 2018) by insurance type. The variables examined included age, gender, inpatient/outpatient status, wound classification, type of surgery, American Society of Anesthesiology (ASA) scores and whether a given patient had diabetes, was a smoker, or suffered from hypertension. This database had no trauma cases., Results: Information was available for 5,097 cases during the study period. The mean age of the group was 51 (±22) years. The gender distribution indicated that 56% were women and 44% were men. The insurance types were distributed as follows: government/no insurance, 40%; Medicare, 12%; and private insurance, 48%. The government-insured/uninsured patients were younger (mean age, 41 ±24) and had had emergency surgery more frequently (18%) than had privately insured patients (10%). Medicare patients were significantly older (mean age, 72 ±12), and had had higher incidences of diabetes (46%) and hypertension (81%), presenting with ASA scores greater than or equal to 3 in 73% of cases. More privately insured individuals than those in other groups had had elective surgery (90%); 48% had been outpatients when they had their surgery, 58% had had clean wounds, and 61% of the patients having elective surgery were women., Conclusion: There were significant differences (P<.05) in the characteristics of patients with different types of health insurance. The frequency of emergency surgery was found to be significantly higher in the government-insured/uninsured group than in the privately insured group.

Introduction: Patient-reported outcome measures (PROMs) are used to assess performance and value. The type of health insurance coverage may influence outcomes scores. The goal of this study was to determine if the type of insurance coverage is associated with the trends in PROMs within an orthopaedic cohort., Methods: We reviewed the electronic medical records of 10,745 adult foot and ankle patients who completed PROMs questionnaires from 2015 to 2017. Patients completed the Foot and Ankle Ability Measure, PROMIS Global-Mental, PROMIS Global-Physical, and PROMIS Physical Function Short Form 10a. Descriptive analyses, analysis of variance, and Tukey HSD (honest significant difference) post hoc analyses were conducted., Results: Patients with commercial insurance consistently had the highest outcomes scores, whereas those with Workers Comp/Motor Vehicle and Medicaid had the lowest. PROMs of patients with commercial insurance were statistically significantly higher than the pooled scores of all other patients. Markedly poorer scores were also seen for Workers Comp/Motor Vehicle and Medicaid. In addition, these differences in PROMs for Workers Comp/Motor Vehicle and Medicaid exceeded the minimal clinically important differences. Patients with Medicare or Free Care had generally lower scores than the pooled averages, but these results were not statistically significant., Discussion: PROMs scores vary between the patients with different insurance types in an orthopaedic foot and ankle cohort. These data suggest that patient insurance type may affect patient-reported outcomes., Level of Evidence: Level III, Retrospective Cohort.

Objectives: to analyze lawsuits brought by beneficiaries of health insurance operators., Methods: this was a cross-sectional descriptive study carried out in a large-capacity private health insurance operator using data collected by the company from 2012 to 2015., Results: ninety-six lawsuits were brought by 86 beneficiaries regarding medical procedures (38.5%), treatments (26.1%), examinations (14.6%), medications (9.4%), home care (6.2%), and other types of hospitalization (5.2%). The procedures with the highest number of lawsuits were percutaneous rhizotomy; chemotherapy; treatment-related positron-emission tomography scans; and for medications relative to antineoplastic and Hepatitis C treatment., Conclusions: the lawsuits were filed because of the operators' refusal to comply with items not established in contracts or not regulated and authorized by the Brazilian National Regulatory Agency for Private Health Insurance and Plans, refusals considered unfounded.

Objectives: Proton beam therapy (PBT) is a type of radiation therapy (RT) used for certain cancer types because it minimizes collateral tissue damage. The high cost and limited availability of PBT have constrained its utilization. This study examined patterns and determinants of PBT use in California., Study Design: Persons with diagnoses of all cancer types from 2003 to 2016 inclusive who had any type of RT were identified in the California Cancer Registry in this retrospective analysis., Methods: Cross-tabulations were performed to summarize the demographic characteristics of the study population, both for individuals who received PBT and for those who received other RT modalities. PBT use patterns over time were assessed. Multivariate logistic regression models assessed the effects of demographics and health insurance type on receipt of PBT., Results: Of the 2,499,510 people with a cancer diagnosis during the study period, 578,632 (23%) received some type of RT, and of these, 8609 received PBT (1.5%). PBT was most often used to treat cancers of the prostate (41.3%), breast (14.0%), eye (11.7%), lung (6.1%), and brain (6.0%). PBT use was highest in 2003-2004 and then declined over time. PBT use was significantly associated with being white or male, younger age, higher socioeconomic status, Medicare or dual Medicare-Medicaid insurance, uninsured/self-pay status, and proximity to treatment., Conclusions: Significant differences exist in PBT use by demographics and health insurance type. The identified racial and socioeconomic disparities merit further investigation. More granular studies on both use patterns and effectiveness of PBT for specific cancers are needed to draw stronger conclusions about its cost-benefit ratio.

Background: The influenza virus caused 48.8 million people to fall ill and 79 400 deaths during the 2017-2018 influenza season, yet less than 50% of US adults receive an annual flu vaccination (AFV). Having health insurance coverage influences whether individuals receive an AFV. The current study aims to determine if an association exists between an individual's health plan type (HPT) and their receipt of an AFV., Methods: Data from the 2017 Behavioral Risk Factor Surveillance System and the optional 'Health Care Access' module were used for this study. The final study sample size was 35 684. Multivariable weighted and adjusted logistic regression models were conducted to investigate the association between HPT and AFV., Results: Medicare coverage was significantly associated with an increase in AFV for both men (adjusted OR (AOR) 1.62 (95% CI 1.28 to 2.06)) and women (AOR 1.28 (95% CI 1.00 to 1.53)). For men, other sources of coverage were also significantly positively associated with AFV (AOR 1.67 (95% CI 1.27 to 2.19)), while for women obtaining coverage on their own was significantly negatively associated with AFV (AOR 0.75 (95% CI 0.59 to 0.97))., Conclusion: These findings are of interest to health policy makers as these show there are HPTs which are effective at improving vaccination rates. Adopting methods used by these HPTs could help the USA reach its Healthy People 2020 AFV coverage goal of 70%., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2020. No commercial re-use. See rights and permissions. Published by BMJ.)

Objective: To investigate the association between insurance provider and reported assistive technology (AT) use to access computers and electronic devices 1 year after sustaining tetraplegia., Design: Multicenter cross-sectional study., Setting: Participants enrolled in the Spinal Cord Injury Model Systems (SCIMS) National Database., Interventions: Not applicable., Participants: Men and women with tetraplegia (N=498) enrolled in the SCIMS National Database were included in the analysis., Main Outcome Measures: The primary study outcome was the use of AT when operating a computer or other mobile electronic device. The primary predictor was the subject's principal health insurance provider, which was grouped into the 3 categories: government (Medicare, Medicaid, and other government), private (private insurance, private funds, and other), and workers' compensation., Results: Overall, 34.7% of participants reported using AT to access computers and electronic devices. Results of logistic regression analysis revealed sex, injury level, injury completeness, self-perceived health status, and 12-month history of pressure ulcer were all significantly associated with AT use. After adjusting for these factors, participants with workers' compensation were more likely to report AT use than individuals with either government or private insurance., Conclusions: Despite significant technological advances, AT is not readily available to the people who might benefit most from its use. Findings from the present study are the first to shed light on AT funding sources and reveal that individuals with workers' compensation are more likely use AT than individuals with either government or private insurance. Additional work focused on AT use and functional outcomes is needed to assess the effect of barriers to use. Collectively, this work may inform insurers of the importance of having AT available for this unique population to potentially improve quality of life and participation., (Copyright © 2019 American Congress of Rehabilitation Medicine. Published by Elsevier Inc. All rights reserved.)

Objective: This study examines individuals' choice of private health insurance in Spain. Private health insurance choices reveal the attributes of health care most highly valued by the population, and the perceived responsiveness of the public system in delivering those preferences., Method: The paper exploits the 2004, 2009 and 2014 waves of the national Health Barometer survey, examining the health insurance choice separately for the general population and a small but influential sector of elite public-sector employees who can opt out from the public health system (civil servants)., Results: Public healthcare is a highly regarded provider in terms of technology and doctor training, even by those who chose private health insurance, but falls short in terms of amenities such as comfort and speed of attendance. These findings confirm well-known strengths and criticisms of the public system. However, the study also finds that citizens are concerned about the performance of the public sector in key domains of health system responsiveness, such as personal contact and information and these concerns also influence their decision to opt for private provision. Finally, civil servants, even the minority who opted for public provision, tend to have a lower opinion of the public health service than non-civil servants, especially in terms of personal contact, information, primary care and specialist care., Conclusions: These perceptions and concerns of the public about the performance of the public health service will be of interest for policy makers and should be investigated further., (Copyright © 2018 SESPAS. Publicado por Elsevier España, S.L.U. All rights reserved.)

Background: High patient out-of-pocket (OOP) spending for medical care is associated with medical debt, distress about household finances, and forgoing medical care because of cost in the USA., Objective: To examine the national prevalence of medical financial hardship domains: (1) material conditions from increased OOP expenses (e.g., medical debt), (2) psychological responses (e.g., distress), and (3) coping behaviors (e.g., forgoing care); and factors associated with financial hardship., Design and Participants: We identified adults aged 18-64 years (N = 68,828) and ≥ 65 years (N = 24,614) from the 2015-2017 National Health Interview Survey. Multivariable analyses of nationally representative cross-sectional survey data were stratified by age group, 18-64 years and ≥ 65 years., Main Measures: Prevalence of material, psychological, and behavioral hardship and hardship intensity., Key Results: Approximately 137.1 million (95% CI 132.7-141.5) adults reported any medical financial hardship in the past year. Hardship is more common for material, psychological and behavioral domains in adults aged 18-64 years (28.9%, 46.9%, and 21.2%, respectively) than in adults aged ≥ 65 years (15.3%, 28.4%, and 12.7%, respectively; all p < .001). Lower educational attainment and more health conditions were strongly associated with hardship intensity in multivariable analyses in both age groups (p < .001). In the younger group, the uninsured were more likely to report multiple domains of hardship (52.8%), compared to those with some public (26.5%) or private insurance (23.2%) (p < .001). In the older group, individuals with Medicare only were more likely to report hardship in multiple domains (17.1%) compared to those with Medicare and public (12.1%) or Medicare and private coverage (10.1%) (p < .001)., Conclusions: Medical financial hardship is common in the USA, especially in adults aged 18-64 years and those without health insurance coverage. With trends towards higher patient cost-sharing and increasing health care costs, risks of hardship may increase in the future.

Affordability and geographic accessibility are key health care access characteristics. We used data from 481 youth and young adults (YYA) with diabetes (389 type 1, 92 type 2) to understand the association between health care access and glycemic control as measured by HbA 1c values. In multivariate models, YYA with state or federal health insurance had HbA 1c percentage values 0.68 higher (P = 0.0025) than the privately insured, and those without insurance 1.34 higher (P < 0.0001). Not having a routine diabetes care provider was associated with a 0.51 higher HbA 1c (P = 0.048) compared to having specialist care, but HbA 1c did not differ significantly (P = 0.069) between primary vs specialty care. Distance to utilized provider was not associated with HbA 1c among YYA with a provider (P = 0.11). These findings underscore the central role of health insurance and indicate a need to better understand the root causes of poorer glycemic control in YYA with state/federal insurance., (© 2019 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.)

Introduction: The purpose of this study was to test the hypothesis that patients with Medicaid insurance or Medicaid-like coverage would have longer times to follow-up and be less likely to complete colonoscopy compared with patients with commercial insurance within the same healthcare systems., Methods: A total of 35,009 patients aged 50-64years with a positive fecal immunochemical test were evaluated in Northern and Southern California Kaiser Permanente systems and in a North Texas safety-net system between 2011 and 2012. Kaplan-Meier estimation was used between 2016 and 2017 to calculate the probability of having follow-up colonoscopy by coverage type. Among Kaiser Permanente patients, Cox regression was used to estimate hazard ratios and 95% CIs for the association between coverage type and receipt of follow-up, adjusting for sociodemographics and health status., Results: Even within the same integrated system with organized follow-up, patients with Medicaid were 24% less likely to complete follow-up as those with commercial insurance. Percentage receiving colonoscopy within 3 months after a positive fecal immunochemical test was 74.6% for commercial insurance, 63.10% for Medicaid only, and 37.5% for patients served by the integrated safety-net system., Conclusions: This study found that patients with Medicaid were less likely than those with commercial insurance to complete follow-up colonoscopy after a positive fecal immunochemical test and had longer average times to follow-up. With the future of coverage mechanisms uncertain, it is important and timely to assess influences of health insurance coverage on likelihood of follow-up colonoscopy and identify potential disparities in screening completion., (Copyright © 2019. Published by Elsevier Inc.)

Background:: Although most children at end of life have commercial insurance, little is known about their demographic and clinical characteristics, what care they are receiving, and how much it costs., Objectives:: To describe commercially insured children who enrolled in hospice care during their last year of life and to examine differences across age-groups., Methods:: A retrospective cohort study was conducted using 2005 to 2014 data from the MarketScan Commercial Claims and Encounters database from Truven Health Analytics. Variables were created for demographics, health, utilization, and spending. Analyses included χ 2 and analysis of variance tests of differences., Results:: Among the 17 062 children who utilized hospice, 49% had a preferred provider organization (PPO). Hospice length of stay averaged less than 5 days. Over 80% of children visited their primary care physician. Eight percent had hospital readmissions, and 38% had emergency department (ED) visits. Average expenditures were US$3686 per month or US$44 232 annually. The most common condition for children less than 1 year was cardiovascular (21.96%). Neuromuscular conditions were the most frequent (7.89%) in children aged 1 to 5 years, while malignancies (10.53% and 11.32%, respectively) were prevalent in ages 6 to 14 and 15 to 17. Children less than 1 year had the highest frequency of hospital readmissions (16.25%) with the lowest ED visits (28.67%) while incurring the highest expenses (US$11 211/month)., Conclusions:: The findings suggest that commercially insured children, who enroll in hospice, have flexible coverage with a PPO. Hospital readmissions and ED visits were relatively low for a population who was seriously ill. There were significant age-group differences.

Objectives　The goal of this study was to determine whether experiencing Japan's specific medical checkup is associated with a health promotion lifestyle, health literacy (HL), and social capital (SC) by type of healthcare coverage.Methods　The subjects were 1,048 residents of A City aged 40 through 74 years. Individuals who had experienced more than one medical checkup during the past two years were categorized as "Consultation." Individuals without that experience were categorized as "No consultation." Data were collected via an anonymous self-administered mail questionnaire survey. Health promotion lifestyles were assessed using a Japanese version of the Health-Promoting Lifestyle Profile (HPLP II). HL was measured with the 14-item Health Literacy Scale. The SC was measured following Hanibuchi's six-item scale.Results　The response rates were 34.4% for males and 39.6% for females. Of the males covered by National Health Insurance (NHI), 68.8% were Consultation. Of the females covered by NHI, 79.4% were Consultation. Of the males covered by social insurance, 91.7% were Consultation, and 72.6% of the females covered by social insurance were Consultation. The consultation ratio of males covered by NHI was significantly lower among those without a co-residential spouse than among those living with a spouse. The physical activity score (a HPLP II subscale) of the females covered by NHI was significantly lower among those without compared to those with consultation. Among the males covered by social insurance, the nutrition score (a HPLP II subscale) was significantly higher among those without compared to those with consultation, and the number of neighbors providing companionship (an item in the SC scale) was larger. Among the females covered by social insurance, the health responsibility score (a HPLP II subscale) was significantly lower among those without than among those with consultation.Conclusion　There were significant relationships between experiencing more than one medical checkup during the past two years and health promotion lifestyles and between that experience and social capital, except for males covered by NHI. Policies based on these results are encouraged to increase participation in medical checkups. Regarding males covered by NHI, support of their participation in medical checkups by people close to them would be an effective way to increase participation.

Aims: To examine the characteristics of patients with newly-diagnosed Merkel cell carcinoma (MCC), analyze their treatment patterns and comorbidities after diagnosis, and evaluate the economic burden on the MCC patient population in the US., Materials and Methods: This observational, non-interventional cohort study identified patients with MCC that were newly-diagnosed between January 1, 2010 through December 31, 2014, and whose data were either in the MarketScan Commercial Claims and Encounters (CCAE) or Medicare Supplemental and Coordination of Benefits databases. Standard descriptive statistics were used to describe patient demographics, clinical characteristics, treatment regimens, and healthcare resource use (HRU) and cost., Results: Following MCC diagnosis, most patients in the study population (n = 2,177) received only surgery (34.5%) or surgery and radiotherapy without chemotherapy (22.0%), while 14.5% of patients received none of these treatments; 27.5% of patients received at least one line of chemotherapy as part of their treatment. Mean total healthcare costs per patient per year (PPPY), as well as mean inpatient, outpatient, and pharmacy costs, were significantly greater for patients who received chemotherapy compared with those who received other or no treatments. Higher HRU and mean costs were associated with increasing patient comorbidity burden, ranging from $62,401 PPPY in Deyo Charlson Comorbidity Index level 1 to $109,690 in level ≥3., Limitations: The study used claims databases that were limited to patients who are covered by large employer-sponsored insurance and/or Medicare and did not provide information regarding the rationale for treatment choice or resource use., Conclusions: The choice of treatment is a major factor in determining healthcare costs associated with MCC, with the highest costs in patients receiving chemotherapy. Patients with MCC often exhibit comorbidities, and both HRU and healthcare costs increase significantly with each comorbidity level.

En Afrique, une part importante de la population est encore confrontée à plusieurs barrières pour accéder aux soins. Les mutuelles de santé (MS) sont mises en place pour réduire la barrière financière et assurer à leurs membres un accès à des soins de qualité. Les MS établissent des relations avec les prestataires de soins sous forme de contrat, dont certaines clauses peuvent contenir des notions de qualité des soins (QS). A travers une vue d'ensemble de la typologie de 180 MS de 14 pays (dans Afrique Ouest et Centrale), cet article vise à analyser dans quelle mesure les caractéristiques des MS influencent la mise en œuvre de mécanismes contractuels susceptibles de faciliter la discussion sur la QS. L'hypothèse de cette association a été étudiée avec trois types de caractéristiques (taille, utilisation des services et volume des soins achetés) et huit variables relatives à la contractualisation et la QS (existence d'un contrat, organisation de rencontres, fréquence de ces rencontres, présence de notions de QS dans le contrat, négociation du contrat, révision du contrat, révision des clauses spécifiques à la QS et organisation de rencontres pour discuter de QS). Les MS de type communautaire représentent 80% des mutuelles étudiées (60% d'entre elles sont localisées en zone rurale). Les MS professionnelles représentent 17% et se concentrent principalement au Mali et en Côte d'Ivoire. La quasi-totalité des MS disposent de contrats écrits et contenant des notions relatives à la QS. Bien que les MS de grande taille ayant des résultats financiers importants négocient plus les aspects liés à la qualité des soins lors de l'élaboration de la convention, les MS de taille et aux performances financières plus modestes mettent en œuvre des mécanismes plus réguliers de concertation avec les prestataires. Ces rencontres sont susceptibles de créer un espace de prise en charge de la QS.

Background: Use of treatment for breast cancer is dependent on the patient's cancer characteristics and willingness to undergo treatment and provider treatment recommendations. Receipt of breast cancer treatment varies by insurance status and type. It is not clear whether different benefit types and care sources differ in breast cancer treatment and outcomes among Department of Defense beneficiaries., Methods: The objectives of this study are to assess whether receipt of breast cancer treatment varied by benefit type (TRICARE Prime vs non-Prime) or care source (direct care, purchased care, and both) and to examine whether survival and recurrence differed by benefit type and/or care source among female Department of Defense beneficiaries with the disease. Study subjects were women aged 40-64 yr, diagnosed with malignant breast cancer between 2003 and 2007. Multivariable logistic regression analyses were conducted to assess the likelihood of receiving treatment by benefit type or care source. Multivariable Cox proportional hazard models were used to investigate differences in survival and recurrence by benefit type or care source., Findings: A total of 2,668 women were included in this study. Those with Prime were more likely to have chemotherapy, radiation, hormone therapy, breast-conserving surgery, surveillance mammography, and recurrence than women with non-Prime. Survival was high, with 94.86% of those with Prime and 92.58% with non-Prime alive at the end of the study period. Women aged 50-59 yr with non-Prime benefit type had better survival than women with Prime of the same age. No survival differences were seen by care source. In regard to recurrence, women aged 60-64 yr with TRICARE Prime were more likely to have recurrent breast cancer than women with non-Prime. Additionally, women aged 50-59 yr who used purchased care were less likely to have a recurrence than women who used direct care only., Discussion/impact/recommendations: To our knowledge, this is the first study to examine breast cancer treatment and survival by care source and benefit type in the Military Health System. In this equal access health care system, no differences in treatment, except mastectomy, by benefit type, were observed. There were no overall differences in survival, although patients with non-Prime tended to have better survival in the age group of 50-59 yr. In regard to care source, women who utilized mostly purchased care or utilized both direct and purchased care were more likely to receive certain types of treatment, such as chemotherapy and radiation, as compared with women who used direct care only. However, survival did not differ between different care sources. Future research is warranted to further investigate variations in breast cancer treatment and its survival gains by benefit type and care source among Department of Defense beneficiaries., (© Association of Military Surgeons of the United States 2018. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com)

Objectives: To describe long-term national trends in health insurance coverage among US veterans from 2000 to 2016 in the context of recent health care reform., Methods: We used 2000 to 2016 National Health Interview Survey data on veterans aged 18 to 64 years to examine trends in insurance coverage and uninsurance by year, income, and state Medicaid expansion status. We also explored the current proportions of veterans with each type of insurance by age group., Results: The percentage of veterans with private insurance decreased from 70.8% in 2000 to 56.9% in 2011, whereas between 2000 and 2016 Department of Veterans Affairs (VA) health care coverage (only) almost tripled, Medicaid (without concurrent TRICARE or private coverage) doubled, and TRICARE coverage of any type tripled. After 2011, the percentage of veterans who were uninsured decreased. In 2016, low-income veterans in Medicaid expansion states had double the Medicaid coverage (41.1%) of low-income veterans in nonexpansion states (20.1%)., Conclusions: Our estimates, which are nationally representative of noninstitutionalized veterans, show marked increases in military-related coverage through TRICARE and VA health care. In 2016, only 7.2% of veterans aged 18 to 64 years and 3.7% of all veterans (aged 18 years or older) remained uninsured.

Background: Head and neck cancer (HNC) patients with Medicaid, Medicare, or no insurance show poor outcomes in comparison with privately insured patients. It was hypothesized that nonprivate insurance coverage biases the selection of the treatment site to favor hospitals that are not associated with optimum treatment outcomes. This study assessed the relation between the insurance type of HNC patients and the hospital type for inpatient care., Methods: Adult HNC patients were identified from the Nationwide Inpatient Sample (2012 and 2013). The primary exposure was the insurance provider type. The outcome was the hospital type, which was classified by the hospital's ownership and its location and teaching status. Multivariate multinomial logistic regression models were constructed to control for the patient's age, sex, race, income, mortality risk, and geographic location. The analysis was weighted and was adjusted for multiple comparisons., Results: In all, 37,466 HNC patients representing 187,330 patients nationally were identified. After adjustments for age, sex, race, income, and mortality risk, in comparison with privately insured patients, Medicaid, Medicare, and uninsured patients demonstrated 1.14 to 2.29 increased odds of undergoing treatment at rural, urban nonteaching, private investor-owned, or government (nonfederal) hospitals (P < .05). This trend remained apparent even after adjustments for the geographic location., Conclusions: Uninsured patients or patients insured by government programs predominantly underwent care for HNC at hospital types most often associated with inferior survival outcomes. This finding could explain some proportion of insurance-related disparities in HNC outcomes. Further studies are warranted to determine whether interventions to promote equitable access to optimal hospital settings for patients, regardless of their insurance type, might improve outcomes among nonprivate insurance holders. Cancer 2018;124:760-8. © 2017 American Cancer Society., (© 2017 American Cancer Society.)

Rationale: Pediatric pulmonary hypertension (PH) is a heterogeneous condition with varying natural history and therapeutic response. Precise classification of PH subtypes is, therefore, crucial for individualizing care. However, gaps remain in our understanding of the spectrum of PH in children., Objective: We seek to study the manifestations of PH in children and to assess the feasibility of applying a network-based approach to discern disease subtypes from comorbidity data recorded in longitudinal data sets., Methods and Results: A retrospective cohort study comprising 6 943 263 children (<18 years of age) enrolled in a commercial health insurance plan in the United States, between January 2010 and May 2013. A total of 1583 (0.02%) children met the criteria for PH. We identified comorbidities significantly associated with PH compared with the general population of children without PH. A Bayesian comorbidity network was constructed to model the interdependencies of these comorbidities, and network-clustering analysis was applied to derive disease subtypes comprising subgraphs of highly connected comorbid conditions. A total of 186 comorbidities were found to be significantly associated with PH. Network analysis of comorbidity patterns captured most of the major PH subtypes with known pathological basis defined by the World Health Organization and Panama classifications. The analysis further identified many subtypes documented in only a few case studies, including rare subtypes associated with several well-described genetic syndromes., Conclusions: Application of network science to model comorbidity patterns recorded in longitudinal data sets can facilitate the discovery of disease subtypes. Our analysis relearned established subtypes, thus validating the approach, and identified rare subtypes that are difficult to discern through clinical observations, providing impetus for deeper investigation of the disease subtypes that will enrich current disease classifications., (© 2017 American Heart Association, Inc.)

The behavior of noncoresident family members motivates much of the literature on consumption smoothing, risk-sharing, and informal networks, yet little is known empirically on the topic due to a lack of data simultaneously observing multiple households in an extended family. This study utilizes genealogically linked longitudinal data to examine how extended family networks insure against financial risks from severely limiting health conditions. We find that nonhealth consumption of unmarried households declines in response to worsening health, whereas married households smooth expenditures in a way that is consistent with full insurance. Families mitigate losses by reallocating home production, drawing down home equity, holding formal health insurance, collecting social security, and receiving transfers from noncoresident relatives. We illustrate that the costs of health shocks are transmitted throughout family networks, and that noncoresident children draw down their assets and consumption when responding to a parent's health decline., (Copyright © 2017 Elsevier B.V. All rights reserved.)

A primary purpose of health insurance is to protect families from medical expenditure risk. Despite this goal and despite the fact that research has found that Medicaid can crowd out private coverage, little is known about the effect of Medicaid on families' spending patterns. This paper implements a simulated instrumental variables strategy with data from the Consumer Expenditure Survey to estimate the effect of an additional family member becoming eligible for Medicaid on family-level health insurance coverage and spending. The results indicate that an additional family member becoming eligible for Medicaid increases the number of people in the family with Medicaid coverage by about 0.135-0.142 and decreases the likelihood that a family has any medical spending in a quarter by 2.7 percentage points. As previous research often finds with different data sets, I find evidence that Medicaid expansions crowd out some private coverage. Unlike most other data sets, the Consumer Expenditure Survey allows for considering the financial implications of crowd-out. The results indicate that families that transition from private coverage to Medicaid are able to spend significantly less on health insurance expenses, meaning Medicaid expansions can be welfare improving for families even when crowd-out occurs., (Copyright © 2017 Elsevier B.V. All rights reserved.)

Within the conceptual framework of 'medically-ill-defined' conditions, this article focuses on the experiences of 'diagnosis' through a narrative analysis of fibromyalgia (a chronic musculoskeletal pain disorder) in South Africa. In-depth interviews were used to collect narratives from 15 participants. The findings show how the contested and confusing experience of fibromyalgia diagnosis can be understood, by viewing the interactions that patients have with their practitioners, families, peers and colleagues. The currency of fibromyalgia as a diagnosis and the inequalities present in the South African health care system characterise the experiences of symptom recognition, diagnosis and treatment. The analysis reveals how those living with fibromyalgia search for diagnosis, and struggle to maintain legitimacy for their experience in the complex constellation of porous symptoms that appear infrequently. The findings of this study confirm the existing evidence that shows fibromyalgia to be a challenging illness experience, which is attributed to the lack of clarity and legitimacy, and high contestation that surrounds the condition. Additionally, this study presents the ways that limited access to diagnosis and treatment for fibromyalgia in the South African context shapes this specific illness experience, and the value of using narrative approaches to gain insight into how people live with hidden and poorly understood conditions in this environment.

Objectives: To characterize early adoption of a novel multitarget stool DNA (MT-sDNA) screening test for colorectal cancer (CRC) screening and to test the hypothesis that adoption differs by demographic characteristics and prior CRC screening behavior and proceeds predictably over time., Patients and Methods: We used the Rochester Epidemiology Project research infrastructure to assess the use of the MT-sDNA screening test in adults aged 50 to 75 years living in Olmsted County, Minnesota, in 2014 and identified 27,147 individuals eligible or due for screening colonoscopy from November 1, 2014, through November 30, 2015. We used electronic Current Procedure Terminology and Health Care Common Procedure codes to evaluate early adoption of the MT-sDNA screening test in this population and to test whether early adoption varies by age, sex, race, and prior CRC screening behavior., Results: Overall, 2193 (8.1%) and 974 (3.6%) individuals were screened by colonoscopy and MT-sDNA, respectively. Age, sex, race, and prior CRC screening behavior were significantly and independently associated with MT-sDNA screening use compared with colonoscopy use after adjustment for all other variables (P<.05 for all). The rates of adoption of MT-sDNA screening increased over time and were highest in those aged 50 to 54 years, women, whites, and those who had a history of screening. The use of the MT-sDNA screening test varied predictably by insurance coverage. The rates of colonoscopy decreased over time, whereas overall CRC screening rates remained steady., Conclusion: The results of the present study are generally consistent with predictions derived from prior research and the diffusion of innovation framework, pointing to increasing use of the new screening test over time and early adoption by younger patients, women, whites, and those with prior CRC screening., (Copyright © 2017 Mayo Foundation for Medical Education and Research. Published by Elsevier Inc. All rights reserved.)

Purpose: Care coordination has been identified as a key strategy in improving the effectiveness, safety, and efficiency of the US health care system. Our objective was to determine whether population or health care system issues are associated with primary care coordination gaps in the United States and other high-income countries., Methods: We analyzed data from the 2013 Commonwealth Fund International Health Policy (IHP) survey with multivariate logistic regression analysis. Respondents were adult primary care patients from 11 countries: Australia, Canada, France, Germany, the Netherlands, New Zealand, Norway, Sweden, Switzerland, United Kingdom, and the United States. Poor primary care coordination was defined as participants reporting at least 3 gaps in the coordination of care out of a maximum of 5., Results: Analyses were based on 13,958 respondents. The rate of poor primary care coordination was 5.2% (724/13,958 respondents) overall and highest in the United States, at 9.8% (137/1,395 respondents). Multivariate regression analysis among all respondents found that they were less likely to experience poor primary care coordination if their primary care physician often or always knew their medical history, spent sufficient time, involved them, and explained things well (odds ratio = 0.6 for each). Poor primary care coordination was more likely to occur among patients with chronic conditions (odds ratios = 1.4-2.1 depending on number) and patients younger than 65 years (odds ratios = 1.6-2.3 depending on age-group). Among US respondents, insurance status, health status, household income, and sex were not associated with poor primary care coordination., Conclusions: The United States had the highest rate of poor primary care coordination among the 11 high-income countries evaluated. An established relationship with a primary care physician was significantly associated with better care coordination, whereas being chronically ill or younger was associated with poorer care coordination., (© 2017 Annals of Family Medicine, Inc.)

Purpose: The Patient Protection and Affordable Care Act (ACA) expanded coverage to roughly 12 million individuals by mid-2014 and 20 million by 2016, raising concern about the capacity of the primary care system to absorb these individuals. We set out to determine how justified the concern was., Methods: We used an audit design in which simulated patients called primary care practices seeking new-patient appointments in 10 diverse states (Arkansas, Georgia, Iowa, Illinois, Massachusetts, Montana, New Jersey, Oregon, Pennsylvania, and Texas) from November 2012 through March 2013 and from May 2014 through July 2014, before and after the major ACA insurance expansions. Callers were randomly assigned to scripts specifying either private or Medicaid insurance and called only offices identified as "in network" for each plan., Results: We completed 5,385 private insurance and 4,352 Medicaid calls in 2012-2013 and 2,424 private insurance and 2,474 Medicaid calls in 2014. Overall appointment rates for private insurance remained stable from 2012 (84.7%) to 2014 (85.8%) with Massachusetts and Pennsylvania experiencing significant increases. Overall, Medicaid appointment rates increased 9.7 percentage points (57.9% to 67.6%) with substantial variation by state. Across all callers, median wait times for those obtaining an appointment were 7 days in 2012 and 5 days in 2014, but the difference was not statistically significant., Conclusions: Contrary to widespread concern, we find no evidence that the millions of individuals newly insured through the ACA decreased new-patient appointment availability across 10 states as shown by stable wait times and appointment rates for private insurance as of mid-2014., (© 2017 Annals of Family Medicine, Inc.)

This study examined access to care and satisfaction among health center patients with chronic conditions. Data for this study were obtained from the 2009 Health Center Patient Survey. Dependent variables of interest included 5 measures of access to and satisfaction with care, whereas the main independent variable was number of chronic conditions. Results of bivariate analysis and multiple logistic regressions showed that patients with chronic conditions had significantly higher odds of reporting access barriers than those without chronic conditions. Our results suggested that additional efforts and resources are necessary to address the needs of health center patients with chronic conditions.

Using the public use data files of the 2008 to 2012 National Survey on Drug Use and Health, this study examined (a) the payment sources for mental health treatment among those aged 50 to 64 years and those aged 65+ years and (b) the relationship between outpatient mental health treatment use and different types of insurance coverage among members of these two age groups. The results show that 16% of the 50 to 64 age group and 10% of the 65+ age group used inpatient or outpatient mental health treatment in the preceding year. Logistic regression analyses showed that mental health problem severity and public insurance programs (Medicare, Medicaid, and Department of Veterans Affairs [VA]/military insurance) significantly increased the odds of receiving outpatient treatment. Private insurance was not a significant factor for either age group. Older adults with mental health problems must be encouraged to seek treatment and need to be informed about mental health coverage included in their insurance(s)., (© The Author(s) 2015.)

Background: Research has shown that uninsured patients receive fewer radiographic studies during trauma care, but less is known as to whether differences in care are present among other insurance groups or across different time points during hospitalization. Our objective was to examine the number of radiographic studies administered to a cohort of trauma patients over the entire hospital stay as well as during the first 24-hours of care., Methods: Patient data were obtained from an American College of Surgeons (ACS) verified Level I Trauma Center between January 1, 2011 and December 31, 2012. We used negative binomial regression to construct relative risk (RR) ratios for type and frequency of radiographic imaging received among persons with Medicare, Medicaid, no insurance, or government insurance plans in reference to those with commercial indemnity plans. The analysis was adjusted for patient age, sex, race/ethnicity, injury severity score, injury mechanism, comorbidities, complications, hospital length of stay, and Intensive Care Unit (ICU) admission., Results: A total of 3621 records from surviving patients age > =18 years were assessed. After adjustment for potential confounders, the expected number of radiographic studies decreased by 15 % among Medicare recipients (RR 0.85, 95 % CI 0.78-0.93), 11 % among Medicaid recipients (0.89, 0.81-0.99), 10 % among the uninsured (0.90, 0.85-0.96) and 19 % among government insurance groups (0.81, 0.72-0.90), compared with the reference group. This disparity was observed during the first 24-hours of care among patients with Medicare (0.78, 0.71-0.86) and government insurance plans (0.83, 0.74-0.94). Overall, there were no differences in the number of radiographic studies among the uninsured or among Medicaid patients during the first 24-hours of care compared with the reference group, but differences were observed among the uninsured in a sub-analysis of severely injured patients (ISS > 15)., Conclusions: Both uninsured and insured patients treated at a not-for-profit verified Level I Trauma Center receive fewer radiographic studies than patients with commercial indemnity plans, even after adjusting for clinical and demographic confounders. There is less disparity in care during the first 24-hours, which suggests that patient pathology is the determining factor for radiographic evaluation during the acute care phase. Results from this study offer initial evidence of disparity in diagnostic imaging across multiple insurance groups over different periods of trauma care.

Background: Insurance impacts access to therapeutic options, yet little is known about how healthcare reform might change the pattern of surgical admissions., Objective: We compared rates of emergent admissions and outcomes after colectomy before and after reform in Massachusetts with a nationwide control group., Design: This study is a retrospective cohort analysis in a natural experiment. Prereform was defined as hospital discharge from 2002 through the second quarter of 2006 and postreform from the third quarter of 2006 through 2012. Categorical variables were compared by χ. Piecewise functions were used to test the effect of healthcare reform on the rate of emergent surgeries., Settings: The study included acute care hospitals in the Massachusetts Healthcare Cost and Utilization Project State Inpatient Database (2002-2012) and the Nationwide Inpatient Sample (2002-2011)., Patients: Patients aged 18 to 64 years with public or no insurance who underwent inpatient colectomy (via International Classification of Diseases, Ninth Revision, Clinical Modification procedural code) were included and patients with Medicare were excluded., Intervention: Massachusetts health care reform was the study intervention., Main Outcome Measures: We measured the rate of emergent colectomy, complications, and mortality., Results: The unadjusted rate of emergent colectomies was lower in Massachusetts after reform but did not change nationally over the same time period. For emergent surgeries in Massachusetts, a piecewise model with an inflection point (peak) in the third quarter of 2006, coinciding with implementation of healthcare reform in Massachusetts, had a lower mean squared error than a linear model. In comparison, the national rate of emergent surgeries demonstrated no change in pattern. Postreform, length of stay decreased by 1 day in Massachusetts; however, there were no significant improvements in other outcomes., Limitations: The study was limited by its retrospective design and unadjusted analysis., Conclusions: There was a unique and sustained decline in the rate of emergent colon resection among publically insured and uninsured patients after 2006 in Massachusetts, in contradistinction to the national pattern, suggesting improved access to care associated with health insurance expansion. The reasons for lack of improvement in outcomes are multifactorial.

Objectives: To describe the disposition of young children diagnosed with physical abuse in the emergency department (ED) setting and identify factors associated with the decision to discharge young abused children., Study Design: We performed a retrospective cross-sectional study of children less than 2 years of age diagnosed with physical abuse in the 2006-2012 Nationwide Emergency Department Sample. National estimates were calculated accounting for the complex survey design. We developed a multivariable logistic regression model to evaluate the relationship between payer type and discharge from the ED compared with admission with adjustment for patient and hospital factors., Results: Of the 37 655 ED encounters with a diagnosis of physical abuse among children less than 2 years of age, 51.8% resulted in discharge, 41.2% in admission, 4.3% in transfer, 0.3% in death in the ED, and 2.5% in other. After adjustment for age, sex, injury type, and hospital characteristics (trauma designation, volume of young children, and hospital region), there were differences in discharge decisions by payer and injury severity. The adjusted percentage discharged of publicly insured children with minor/moderate injury severity was 56.2% (95% CI 51.6, 60.7). The adjusted percentages discharged were higher for both privately insured children at 69.9% (95% CI 64.4, 75.5) and self-pay children at 72.9% (95% CI 67.4, 78.4). The adjusted percentages discharged among severely injured children did not differ significantly by payer., Conclusions: The majority of ED visits for young children diagnosed with abuse resulted in discharge. The notable differences in disposition by payer warrant further investigation., (Copyright © 2016 Elsevier Inc. All rights reserved.)

Introduction: Racial and ethnic disparities exist in diabetes prevalence, access to diabetes care, diabetes-related complications and mortality rates, and the quality of diabetes care among Americans. We explored racial and ethnic disparities in primary care quality among Americans with type 2 diabetes., Methods: We analyzed data on adults with type 2 diabetes derived from the household component of the 2012 Medical Expenditure Panel Survey. Multiple regression and multivariate logistic regressions were used to examine the association between race/ethnicity and primary care attributes related to first contact, longitudinality, comprehensiveness, and coordination, and clusters of confounding factors were added sequentially., Results: Preliminary findings indicated differences in primary care quality between racial/ethnic minorities and whites across measures of first contact, longitudinality, comprehensiveness, and coordination. After controlling for confounding factors, these differences were no longer apparent; all racial/ethnic categories showed similar rates of primary care quality according to the 4 primary care domains of interest in the study., Conclusion: Results indicate equitable primary care quality for type 2 diabetes patients across 4 key domains of primary care after controlling for socioeconomic characteristics. Additional research is necessary to support these findings, particularly when considering smaller racial/ethnic groups and investigating outcomes related to diabetes.

Background: Comparative effectiveness research (CER) often includes observational studies utilizing administrative data. Multiple conditioning methods can be used for CER to adjust for group differences, including difference-in-differences (DiD) estimation., Objective: This study presents DiD and demonstrates how to apply this conditioning method to estimate treatment outcomes in the CER setting by utilizing the MarketScan® Databases for multiple sclerosis (MS) patients receiving different therapies., Methods: The sample included 6762 patients, with 363 in the Test Cohort [glatiramer acetate (GA) switched to fingolimod (FTY)] and 6399 in the Control Cohort (GA only, no switch) from a US administrative claims database. A trend analysis was conducted to rule out concerns regarding regression to the mean and to compare relapse rates among treatment cohorts. DiD analysis was used to enable comparisons among the Test and Control Cohorts. Logistic regression was used to estimate the probability of relapse after switching from GA to FTY, and to compare group differences in the pre- and post-index periods., Results: Crude DiD analysis showed that in the pre-index period more patients in the Test Cohort experienced an MS relapse and had a higher mean number of relapses than in the Control Cohort. During the pre-index period, numeric and relative data for MS relapses in patients in the Test Cohort were significantly higher than in the Control Cohort, while no significant between-group differences emerged during the post-index period. Generalized linear modeling with DiD regression estimation showed that the mean number of MS relapses decreased significantly in the post-index period among patients in the Test Cohort compared with patients in the Control Cohort., Conclusion: In this study, an MS population was utilized to demonstrate how DiD can be applied to estimate treatment effects in a heterogeneous population, where the Test and Control Cohorts varied greatly. The results show that DiD offers a robust method for comparing diverse cohorts when other risk-adjustment methods may not be adequate.

To examine the association of major types of comorbidity with late-stage prostate cancer, a random sample of 11,083 men diagnosed with prostate cancer during 2002-2007 was taken from the Florida Cancer Data System. Individual-level covariates included demographics, primary insurance payer, and comorbidity following the Elixhauser Index. Socioeconomic variables were extracted from Census 2000 data and merged to the individual level data. Provider-to-case ratio at county level was alsocomputed. Multilevel logistic regression was used to assess associations between these factors and late-stage diagnosis of prostate cancer. Higher odds of late-stage diagnosis was significantly related to presence of comorbidities, being unmarried, current smoker, uninsured, and diagnosed in not-for-profit hospitals. The study reported that the presence of certain comorbidities, specifically 10 out of the 45, was associated with late-stage prostate cancer diagnosis. Eight out of 10 significant comorbid conditions were associated with greater risk of being diagnosed at late-stage prostate cancer. On the other hand, men who had chronic pulmonary disease, and solid tumor without metastasis, were less likely to be diagnosed with late-stage prostate cancer. Late-stage diagnosis was associated with comorbidity, which is often associated with increased health care utilization. The association of comorbidity with late-stage prostate cancer diagnosis suggests that individuals with significant comorbidity should be offered routine screening for prostate cancer rather than focusing only on managing symptomatic health problems., (© The Author(s) 2014.)

Background: Hospitalizations for heart failure with preserved ejection fraction (HFpEF) are increasing. There are limited data examining national trends in patients hospitalized with HFpEF., Methods: Using the Nationwide Inpatient Sample, we examined 5,046,879 hospitalizations with a diagnosis of acute heart failure in 2003-2012, stratifying hospitalizations by HFpEF and heart failure with reduced ejection fraction (HFrEF). Patient and hospital characteristics, in-hospital mortality, and length of stay were examined., Results: Compared with HFrEF, those with HFpEF were older, more commonly female, and more likely to have hypertension, atrial fibrillation, chronic lung disease, chronic renal failure, and anemia. Over time, HFpEF comprised increasing proportions of men and patients aged ≥75 years. In-hospital mortality rate for HFpEF decreased by 13%, largely due to improved survival in those aged ≥65 years. Multivariable regression analyses showed that pulmonary circulation disorders, liver disease, and chronic renal failure were independent predictors of in-hospital mortality, whereas treatable diseases including hypertension, coronary artery disease, and diabetes were inversely associated., Conclusions: This study represents the largest cohort of patients hospitalized with HFpEF to date, yielding the following observations: number of hospitalizations for HFpEF was comparable with that of HFrEF; patients with HFpEF were most often women and elderly, with a high burden of comorbidities; outcomes appeared improved among a subset of patients; pulmonary hypertension, liver disease, and chronic renal failure were strongly associated with poor outcomes., (Copyright © 2016 Elsevier Inc. All rights reserved.)

This article addresses the issue of the classification of healthcare systems, with the intent to take a step further than the previously analysed models of healthcare organisation. As concerns the financing of healthcare services, the standard tripartite classification (according to which healthcare systems are divided into three groups: voluntary insurance, social health insurance and universal coverage) is enriched with two additional types: compulsory national health insurance and residual programs. With respect to the provision of services and the relationship between insurers and providers, it is important to distinguish between vertically integrated and separated systems. What differentiates this analysis from the majority of previous studies is its underlying logic. Assuming that all systems are hybrid, the article proposes to put aside the classic logic for classifying healthcare systems (according to which individual countries are pigeonholed into different classes depending on the prevailing system) in favour of the identikit logic. The concept of segmentation (of healthcare services or population) proves to be remarkably useful to this purpose., (Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.)

The purpose of this study was to quantify health insurance misclassification among children treated at a pediatric trauma center and to determine factors associated with misclassification. Demographic, medical, and financial information were collected for patients at our institution between 2008 and 2010. Two health insurance variables were created: true (insurance on hospital admission) and payer (source of payment). Multivariable logistic regression was used to determine which factors were independently associated with health insurance misclassification. The two values of health insurance status were abstracted from the hospital financial database, the trauma registry, and the patient medical record. Among 3630 patients, 123 (3.4%) had incorrect health insurance designation. Misclassification was highest in patients who died: 13.9 per cent among all deaths and 30.8 per cent among emergency department deaths. The adjusted odds of misclassification were 6.7 (95% confidence interval: 1.7, 26.6) among patients who died and 16.1 (95% confidence interval: 3.2, 80.77) among patients who died in the emergency department. Using payer as a proxy for health insurance results in misclassification. Approaches are needed to accurately ascertain true health insurance status when studying the impact of insurance on treatment outcomes.

Purpose: The purpose of this study was to identify data available at the time of hospital admission that predict readmission risk., Methods: We performed a retrospective multiple regression analysis of 958 adult, nonpregnant patients admitted to the Family Medicine Service between June 2012 and October 2013. Data were abstracted from hospital administrative sources and electronic medical records. The outcome was 30-day hospital readmission. Candidate readmission predictors included polypharmacy (≥6 medicines), Charlson comorbidity index, age, sex, insurance status, emergency department use, smoking, nursing report of cognitive issues, patient report of social support or financial issues, and a history of heart failure, pneumonia, or chronic obstructive pulmonary disease., Results: Patients at the Family Medicine Service had a 14% readmission risk. Bivariate analysis showed that high Charlson scores (≥5), polypharmacy, heart failure, pneumonia, or chronic obstructive pulmonary disease each increased readmission risk (P < .05). A logistic model showed an estimated odds ratio for readmission for high Charlson scores of 1.7 (95% confidence interval, 1.1-2.6) and of 2.1 for polypharmacy (95% confidence interval, 1.3-3.7). The model yielded a readmission risk estimate of 6% if neither a high Charlson score nor polypharmacy was present, 9% if only the Charlson score was high, 12% if only polypharmacy was present, and 19% if both were present. The receiver operating characteristics curve for the 2-factor model yielded an estimated area under the curve of 85%. Cross-validation supported this result., Conclusions: Polypharmacy and higher Charlson score at admission predict readmission risk as well as or better than published risk prediction models. The model could help to conserve limited resources and to target interventions for reducing readmission among the highest-risk patients., (© Copyright 2016 by the American Board of Family Medicine.)

This paper analyzes how prices in the retail pharmaceutical market affect health care utilization. Specifically, I study the impact of Walmart's $4 Prescription Drug Program on utilization of antihypertensive drugs and on hospitalizations for conditions amenable to drug therapy. Identification relies on the change in the availability of cheap drugs introduced by Walmart's program, exploiting variation in the distance to the nearest Walmart across ZIP codes in a difference-in-differences framework. I find that living close to a source of cheap drugs increases utilization of antihypertensive medications by 7 percent and decreases the probability of an avoidable hospitalization by 6.2 percent., (Copyright © 2015 Elsevier B.V. All rights reserved.)