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Objective: The Slash (multiple-job holders) become increasingly prevalent in the labor force under the context of fast-developing gig economy and other emerging employment forms active on platforms. However, health outcomes of multiple-job holding have not received sufficient research treatment and is far from reaching consensus. This study provides an empirical investigation on the influence of multiple-job holding on individual health., Method: This study uses data from China Health and Retirement Longitudinal Study (CHARLS-2015 survey) which covers 28 provinces/municipalities in China and tracks work and health status of the population aged over 45 years using stratified random sampling (N = 12,659-16,526 for examinations of different types of health status (i.e., chronic conditions/body aches/depression, in study 1), and from the Survey of Household Economics and Decision-making (SHED-2019) which is conducted by the Federal Reserve Board of the United States and documents economic behavior and related risks of the population aged over 18 years (N = 6603 for baseline model and N = 10,718 for supplementary test, in study 2). To address the potential endogeneity of multiple-job holding, the instrumental variable (IV) regressions are conducted to ensure the validity of results. The implementation of Study 1 and 2 in different national context could help test the generalization of research results., Results: Compared with non-multiple jobs holding, multiple-job holding with only one additional job is associated with better health status (i.e., less chronic conditions and body aches, a lower level of depression shown in study 1, and better self-assessed general health shown in study 2), however, multiple-job holding with at least two additional jobs turns to be associated with worse health status (shown in both study 1 and 2). These results show that the optimal level of multiple-job holding could be featured with one additional job besides the primary job., Conclusion: Multiple-job holding, with different structures, has both bright and dark side for health outcomes. To maintain an optimal level of multiple-job holding could benefit individual health., (© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Introduction: Breast cancer treatment includes increasingly complex and expensive treatments. Accordingly, the current estimates of the cost of breast cancer treatment are out of date., Methods: The SEER-Medicare Data Link provided 142,837,978 paid Medicare claims from 398,148 female beneficiaries between the ages of 22 and 110 diagnosed with breast cancer between 2007 and 2016. These claims were compared with 153,071,044 claims from 443,952 Medicare beneficiaries without a cancer diagnosis. The total, fully adjudicated, amounts for each claim were summed to determine total treatment cost for each beneficiary. These costs were then aggregated by year after diagnosis and stage at diagnosis. The actuarial survival of beneficiaries with cancer was calculated using the Kaplan-Meier method., Results: Mean costs for the control group were $8,019 per year. The 10-year cost of cancer treatment in Medicare beneficiaries was directly related to stage at diagnosis and ranged from $103,573 for stage 0 cancers to $376,573 for stage 4 cancers. The highest cost occurred during the first 2 years after diagnosis, the time of the beneficiary's initial treatment. Following the first 2 years, healthcare costs remained elevated for at least 10 years after diagnosis., Conclusions: The 10-year treatment cost of female Medicare beneficiaries with breast cancer increases with increasing stage at diagnosis. Any effective screening technology that reduces stage at diagnosis will result in significant treatment cost savings to the Medicare program., (© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Purpose: We sought to characterize trends in demographics, comorbidities, and postoperative complications among patients undergoing primary and revision cervical disc replacement (pCDR/rCDR) procedures., Methods: In this retrospective database study, the Premier Healthcare database was queried from 2006 to 2019. Annual proportions or medians were calculated for patient and hospital characteristics, comorbidities, and postoperative complications associated with CDR surgery. Trends were assessed using linear regression analyses with year of service as the sole predictor., Results: A total of 16,178 pCDR and 758 rCDR cases were identified, with a median (IQR) age of 46 (39; 53) and 51 (43; 60) years among patients, respectively. The annual number of both procedures increased between 2006 and 2019, from 135 to 2220 for pCDR (p < 0.001), and from 17 to 49 for rCDR procedures (p < 0.001), with radiculopathy being the main indication for surgery in both groups. Mechanical failure was identified as a major indication for rCDR procedures with an increase over time (p = 0.002). Baseline patient comorbidity burden (p = 0.045) and complication rates (p < 0.001) showed an increase. For both procedures, an increase in outpatient surgeries and procedures performed in rural hospitals was seen (pCDR: p = 0.045; p = 0.006; rCDR: p = 0.028; p = 0.034)., Conclusion: PCDR and rCDR procedures significantly increased from 2006 to 2019. At the same time, comorbidity burden and complication rates increased, while procedures were more often performed in an outpatient and rural setting. The identification of these trends can help guide future practice and lead to further areas of research., (© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

This paper introduces a new graphical tool: the mean deviation concentration curve. Using a unified approach, we derive the associated dominance conditions that identify robust rankings of absolute socioeconomic health inequality for all indices obeying Bleichrodt and van Doorslaer's (J Health Econ 25:945-957, 2006) principle of income-related health transfer. We also derive dominance conditions that are compatible with other transfer principles available in the literature. To make the identification of all robust orderings implementable using survey data, we discuss statistical inference for these dominance tests. To illustrate the empirical relevance of the proposed approach, we compare joint distributions of income and health-related behavior in the United States., (© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Background: There is no streamlined approach for sharing radiologic images among medical institutions. Common methods to transfer imaging between facilities include electronic image-sharing platforms and physical media, such as compact discs (CDs). The prompt and secure transfer of imaging is vital for patient safety as demand for imaging increases., Objective: Use a survey-based study to outline the methods and difficulties of image sharing among U.S. children's hospitals., Materials and Methods: A multi-question survey regarding radiologic image sharing was distributed to children's hospital department chairs in the United States in August 2021. Descriptive statistical analyses of the results were performed., Results: Our results reveal 78% of responding U.S. children's hospitals have an electronic image-sharing platform. Twenty-seven percent of surveyed institutions experience daily difficulties with radiologic image sharing. Most of the difficulties are with CDs (67%) and a lack of interoperability among electronic image-sharing platforms (51%)., Conclusion: Our study identified the various methods used by U.S. children's hospitals for radiologic image sharing and quantified the ongoing challenges with these systems., (© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

A recent integrated health care initiative in Belgium supports 12 regional pilot projects scattered across the country and representing 21% of the population. As in shared savings programs, part of the estimated savings in health spending are paid out to the projects to reinvest in new actions. Short-term savings are expected in particular from cost reductions among high-cost patients. We estimate the effect of the projects on spending using a difference-in-difference model. The sensitivity of the results to the right-skewness of spending is commonly addressed by removing or top-coding high-cost cases. However, this leads to an underestimation of realized savings at the top end of the distribution, therefore, lowering incentives for cost reduction. We show that this trade-off can be weakened by an alternative approach in which cost categories that fall out of the scope of the projects' interventions are excluded from the dependent variable. We find that this approach leads to improvements in precision and model fit that are of the same magnitude as excluding high-cost cases altogether. At the same time, it sharpens the incentives for cost reduction because the model better reflects the costs that projects can affect., (© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Additional occurrence data are needed to better understand human exposure to per- and poly-fluoroalkyl substances (PFAS) from commercially available foods in the United States. The Food and Drug Administration's (FDA) Total Diet Study (TDS) collects foods that are both nationally and regionally distributed. In 2018, 172 processed foods were collected from grocery stores around Lenexa, KS, as part of the TDS national collection. A previously developed method for the analysis of PFAS in foods as part of the TDS regional collection was modified and optimized for these samples. This method was single lab validated using 5 different matrices and method detection limits were calculated. During the analysis of these samples, challenges arose with method blanks and further investigation into statistical methods to distinguish between blank and sample concentrations were done. The confirmation of two short chain PFAS, perfluorobutanoic acid (PFBA) and perfluoropentanoic acid (PFPeA), was not possible using triple quadrupole mass spectrometry and a confirmation method was developed using high-resolution mass spectrometry. This technique was also used to investigate potential detections and interferents that fell within the retention time criteria for positive detections. In the national collection, positive detections of perfluorooctanesulfonic acid (PFOS) and perfluorononanoic acid (PFNA) were found in frozen fish sticks/patties, PFOS and perfluorodecanoic acid (PFDA) in canned tuna, and PFOS in protein powder. Concentrations were all below 150 ppt, and no other detects were confirmed above the method detection limits in any other foods., (© 2021. This is a U.S. government work and not under copyright protection in the U.S.; foreign copyright protection may apply.)

This paper focuses on Medicare's End-Stage Renal Disease Quality Incentive Program (QIP). QIP aims to promote high-quality services in outpatient dialysis facilities by tying their payments to their performance on pre-specified quality measures. In this paper, employing principal-agent theory, we examine the effectiveness of QIP by exploring the changes in various clinical/operational measures when they become a part of the program as a performance measure. We study five QIP quality measures; two are operational: hospitalization and readmission. And three others are clinical: blood transfusion, hypercalcemia, and dialysis adequacy. Overall, we observe a significant improvement in all QIP quality measures after being included in the program, except for readmission. We recommend adjusting the weight and redesigning the readmission measure for Medicare to incentivize providers to reduce readmission. We also discuss establishing care coordination and employing data-driven clinical decision support systems as opportunities for dialysis facilities to improve the care delivery process., (© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

In terms of number of beneficiaries, Medicaid is the single largest health insurance program in the US. Along with the Children's Health Insurance Program (CHIP), Medicaid covers nearly half of all births and provides health insurance to nearly half of the children in the country. This article provides a broad introduction to Medicaid and CHIP for the pediatric radiologist with a special focus on topics relevant to pediatric imaging and population health. This includes an overview of Medicaid's structure and eligibility criteria and how it differs from Medicare. The paper examines the means-tested programs within the context of pediatric radiology, reviewing pertinent topics such as the rise of Medicaid managed care plans, Medicaid expansion, the effects of Medicaid on child health, and COVID-19. Beyond the basics of benefits coverage, pediatric radiologists should understand how Medicaid and CHIP financing and reimbursement affect the ability of pediatric practices, radiology groups, and hospitals to provide services for children in a sustainable manner. The paper concludes with an analysis of future opportunities for Medicaid and CHIP., (© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)