Use of Radiation Therapy for the Treatment of Breast Cancer in 2019 Versus 2020.

Purpose: The COVID-19 pandemic disrupted medical care. Little is known about how radiation therapy (RT) ordering behavior changed during the pandemic. This study examined (1) whether there was a change in the rate at which orders for lumpectomy were followed by orders for RT and (2) whether there was a change in the percentage of RT orders for hypofractionated (HF) RT rather than conventionally fractionated (CF) RT. Methods and Materials: Prior authorization order data from 2019 and 2020, pertaining to patients with commercial and Medicare Advantage health plans, were reviewed to determine whether patients had an order for RT in the 90 days after lumpectomy and if it was for CF or HF RT. Univariate analyses were conducted using χ2 tests, and adjusted analyses were conducted using multivariate logistic regression, controlling for patient age, urbanicity, local median income, region, if the lumpectomy facility was academic, and if the lumpectomy facility was a hospital. Results: In 2019, 47.7% of included lumpectomy orders (2200/4610) were followed by an RT order within 90 days, in contrast to 45.6% (1944/4263) in 2020 (P = .048). Of the RT orders meeting this study's definition of CF or HF, 75.3% of orders placed in 2019 (1387/1843) and 79.0% of orders placed in 2020 (1261/1597) were for HF (P = .011). Adjusted analysis found patients receiving a lumpectomy order in the first quarter of 2020 had significantly reduced odds (odds ratio, 0.84; 95% CI, 0.71-0.99) of receiving an order for RT after lumpectomy, relative to those with orders placed in the first quarter of 2019. Adjusted analysis likewise found significant evidence of increased use of HF RT during the pandemic. Conclusions: In the population examined, physicians were less likely to order RT after lumpectomy in 2020 than in 2019, and if they did, were more likely to order HF RT.

An assessment of the association between patient characteristics and timely lung cancer treatment.

PURPOSE: Prior data have demonstrated relationships between patient characteristics, the use of surgery to treat lung cancer, and the timeliness of treatment. Our study examines whether these relationships were observable in 2019 in patients with Medicare Advantage health plans being treated for lung cancer. METHODS: Claims data pertaining to patients with Medicare Advantage health plans who had received radiation therapy (RT) or surgery to treat lung cancer within 90 days of diagnostic imaging were extracted. Other databases were used to determine patients' demographics, comorbidities, the urbanicity of their ZIP code, the median income of their ZIP code, and whether their treatment was ordered by a physician at a hospital. Multivariable logistic and Cox Proportional Hazards models were used to assess the association between patient characteristics, receipt of surgery, and time to non-systemic treatment (surgery or RT), respectively. RESULTS: A total of 2,682 patients were included in the analysis. In an adjusted analysis, patients were significantly less likely to receive surgery if their first ordering physician was based in a hospital, if they were older, if they had a history of congestive heart failure (CHF), if they had a history of chronic obstructive pulmonary disease, or if they had stage III lung cancer. Likewise, having stage III cancer was associated with significantly shorter time to treatment. CONCLUSIONS: Within a Medicare Advantage population, patient demographics were found to be significantly associated with the decision to pursue surgery, but factors other than stage were not significantly associated with time to non-systemic treatment.

Associations Among Optimal Lung Cancer Treatment, Clinical Outcomes, and Health Care Utilization in Patients Who Underwent Comprehensive Genomic Profiling.

BACKGROUND: Although immune checkpoint inhibitor immunotherapies are contraindicated as first-line treatment of advanced non-small cell lung cancer (NSCLC) in patients with ALK rearrangement and EGFR mutation, many receive them. The purpose of this study was to examine the association between optimal first-line treatment in this population and clinical outcomes. METHODS: Claims and genomic data from patients with advanced or metastatic NSCLC were extracted from a nationally representative GuardantINFORM dataset. Patients who had their first claim mentioning advanced or metastatic NSCLC between March 2019 and February 2020 and had ALK rearrangement or EGFR mutation detected by comprehensive genomic profiling were included in this study. Patients were classified as having received optimal or suboptimal first-line treatment. Claims were reviewed to determine real-world time to next treatment, real-world time to discontinuation, and health services utilization (emergency department, inpatient, and outpatient) in the 12 months following first-line treatment initiation. Survival analyses were conducted using Kaplan-Meier plots and Cox proportional hazard models. Health services utilization was compared between the groups using t tests and negative binomial models. RESULTS: Of the 359 patients included, 280 (78.0%) received optimal first-line treatment. Optimally treated patients had longer median real-world time to next treatment (11.2 vs 4.4 months; P<.01) and real-world time to discontinuation (10.4 vs 1.9 months; P<.01). The optimal group had significantly fewer emergency department presentations (0.76 vs 1.27; P<.01) and outpatient visits (22.9 vs 42.7; P<.01) than the suboptimal group but did not significantly differ in inpatient utilization. Adjusted utilization analysis yielded similar findings. CONCLUSIONS: Patients with NSCLC who received optimal treatment, as determined by comprehensive genomic profiling using next-generation sequencing-based circulating tumor DNA testing (Guardant360), had significantly superior clinical and utilization outcomes, reinforcing existing guidelines recommending profiling at the onset of treatment.

Lung Cancer Treatment Trends During the Coronavirus Disease 2019 (COVID-19) Pandemic: A Claims and Order Data Analysis (2019-2021).

Introduction: Lung cancer is treated using systemic therapy, radiation therapy (RT), and surgery. This study evaluates how utilization of these modalities and cancer stage at initial treatment shifted from 2019 to 2021. Methods: Claims for lung cancer treatment were extracted from the database of a national health care organization offering Medicare Advantage health plans and paired with enrollment data to determine utilization rates. Seasonally adjusted rates were trended, with monotonicity evaluated using Mann-Kendall tests. Using contemporaneous prior authorization order data, the association between year and the patient's cancer stage at the time of the initial RT or surgery order was evaluated through univariable and multivariable analyses. Results: The study considered 140.9 million beneficiary-months of data. There were negative and significantly monotonic trends in utilization of RT (p = 0.033) and systematic therapy (p = 0.003) for initial treatment between January 2020 and December 2021. Analysis of RT and surgery order data revealed that the patients were significantly (p < 0.001) more likely to have advanced (stage III or IV) cancer at the time of their surgery order in 2020 and 2021 than in 2019. After adjusting for urbanicity, age, and local income, a significant relationship between year of the initial order and presence of advanced cancer at the time of ordering was found for surgery orders placed in 2020 (p < 0.001) and 2021 (p < 0.01), but not for RT orders. Conclusions: There was a per-capita reduction in lung cancer treatment in 2020 and 2021, and patients receiving initial orders for surgery after the onset of the pandemic had more advanced cancer.

An assessment of the association between patient race and prior authorization program determinations in the context of radiation therapy.

BACKGROUND: When a physician determines that a patient needs radiation therapy (RT), they submit an RT order to a prior authorization program which assesses guideline-concordance. A rule-based clinical decision support system (CDSS) evaluates whether the order is appropriate or potentially non-indicated. If potentially non-indicated, a board-certified oncologist discusses the order with the ordering physician. After discussion, the order is authorized, modified, withdrawn, or recommended for denial. Although patient race is not captured during ordering, bias prior to and during ordering, or during the discussion, may influence outcomes. This study evaluated if associations existed between race and order determinations by the CDSS and by the overall prior authorization program. METHODS: RT orders placed in 2019, pertaining to patients with Medicare Advantage health plans from one national organization, were analyzed. The association between race and prior authorization outcomes was examined for RT orders for all cancers, and then separately for breast, lung, and prostate cancers. Analyses controlled for the patient's age, urbanicity, and the median income in the patient's ZIP code. Adjusted analyses were conducted on unmatched and racially-matched samples. RESULTS: Of the 10,145 patients included in the sample, 8,061 (79.5%) were White and 2,084 (20.5%) were Black. Race was not found to have a significant association with CDSS or prior authorization outcomes in any of the analyses. CONCLUSIONS: CDSS and prior authorization outcomes suggested similar rates of clinical appropriateness of orders for patients, regardless of race. IMPLICATIONS: Prior authorization utilizing rule-based CDSS was capable of enforcing guidelines without introducing racial bias.

Magnesium production by molten salt electrolysis with liquid tin cathode and multiple effect distillation.

Low-cost clean primary production of magnesium metal is important for its use in many applications, from light-weight structural components to energy technologies. This work describes new experiments and cost and emissions analysis for a magnesium metal production process. The process combines molten salt electrolysis of MgO using MgF2-CaF2 electrolyte and a reactive liquid tin cathode, with gravity-driven multiple effect thermal system (G-METS) distillation to separate out the magnesium product, and re-use of the tin. Electrolysis experiments with carbon anodes showed current yield above 90%, while a yttria-stabilized zirconia solid oxide membrane (SOM) anode experiment showed 84% current yield. G-METS distillation is an important component of the envisioned process. It can potentially lower costs and energy use considerably compared with conventional magnesium distillation. Techno-economic analysis including detailed mass and energy balances shows that this electrolyte composition could lower costs by utilizing CaO, which is the primary impurity in MgO, as the Hall-Héroult process uses the sodium impurity in alumina. Analysis options include: raw material types (magnesite rock vs. brine or seawater), drying and calcining using electricity vs. natural gas, and carbon vs. SOM anode type. Using SOM inert anodes results in a cost premium around 10%-15%, mostly due to higher electrical energy usage resulting from membrane resistance, and reduces GHG emissions by approximately 1 kg CO2/kg Mg product. Capital and operating cost estimates, and cradle to gate greenhouse gas (GHG) emissions analysis under several raw material and process technology scenarios, show comparable costs and emissions to those of aluminum production.

Sleep testing during the pandemic.

BACKGROUND: The COVID-19 pandemic disrupted the U.S. healthcare system, reducing the capacity available for unrelated conditions, such as sleep disordered breathing, and increasing concerns about the safety of in-lab testing. This study characterizes how the pandemic impacted the assessment of sleep disordered breathing and use of associated services. METHODS: Sleep testing claims occurring between January 2019 and June 2021 were extracted from the database of a national healthcare organization. Utilization was trended. Logistic regressions were run to assess the association between quarter of initial testing, whether testing was followed by treatment, and whether testing was followed by a clinical visit with a diagnosis related to sleep apnea, after controlling for patient-related factors. A Cox proportional hazards model assessed factors influencing time to treatment. Finally, a logistic regression assessed factors influencing the finality of home-based testing. RESULTS: In Q2 2021, home-based testing utilization was 134% of its initial level, while in-lab and split night testing were both at 61% of initial levels. Patients receiving initial home-based testing did not significantly differ in their likelihood of treatment, but were significantly less likely to have a clinical visit for sleep apnea (P < 0.01). Patients initially tested in 2021 were treated significantly more quickly than those initially tested in Q1 2019. Home-based testing occurring in Q4 2019 or later was significantly more likely to be definitive than home-based testing occurring Q1 2019. CONCLUSIONS: Home-based sleep testing increased significantly and durably in 2020, and was associated with faster time to treatment than initial in-lab testing.

The Association Between the Use of Low-Slice Computed Tomography Machines and Downstream Care: Comparative Study of 16-Slice and 64-Slice Computed Tomography Angiography.

BACKGROUND: Although computed tomography (CT) studies on machines with more slices have reported higher positive and negative predictive values, the impact of using low-slice (16-slice) CT machines on downstream testing has not been well studied. In community outpatient settings, low-slice CT machines remain in use, although many hospitals have adopted higher-slice machines. OBJECTIVE: This study examines the association between the use of low-slice CT machines and downstream invasive testing in the context of the CT angiography of the neck. METHODS: Included health insurance claims pertained to adults with commercial or Medicare Advantage health plans who underwent the CT angiography of the neck. Site certification data were used to assign counts of slices to claims. Claims that were made in the 60 days after CT were examined for cervicocerebral angiography. The association between the number of slices and cervicocerebral angiography was evaluated by using a chi-square test and multivariate logistic regression. RESULTS: Claims for 16-slice CT had a 5.1% (33/641) downstream cervicocerebral angiography rate, while claims for 64-slice CT had a 3.1% (35/1125) rate, and a significant difference (P=.03) was observed. An analysis that was adjusted for patient demographics also found a significant relationship (odds ratio 1.64, 95% CI 1.00-2.69; P=.047). CONCLUSIONS: The use of low-slice CT machines in the community may impact the quality of care and result in more downstream testing.

The association between provider characteristics and post-catheterization interventions.

OBJECTIVES: To examine whether the demographics of providers' prior year patient cohorts, providers' historic degree of catheter-based fractional flow reserve (FFR) utilization, and other provider characteristics were associated with post-catheterization performance of percutaneous coronary intervention (PCI) or coronary artery bypass grafting (CABG). STUDY DESIGN: A retrospective, observational analysis of outpatient claims data was performed. METHODS: All 2018 outpatient catheterization claims from a national organization offering commercial and Medicare Advantage health plans were examined. Claims were excluded if the patient had a prior catheterization in 2018, had any indications of CABG or valvular heart disease in the prior year of claims, or if the provider had ≤10 catheterization claims in 2017. Downstream PCI and CABG were determined by examining claims 0-30 days post-catheterization. Using multivariate mixed effects logistic regression with provider identity random effects, the association between post-catheterization procedures and provider characteristics was assessed, controlling for patient characteristics. RESULTS: The sample consisted of 31,920 catheterization claims pertaining to procedures performed by 964 providers. Among the catheterization claims, 8,554 (26.8%) were followed by PCI and 1,779 (5.6%) were followed by CABG. Catheterizations performed by providers with older prior year patient cohorts were associated with higher adjusted odds of PCI (1.78; CI: 1.26-2.53), even after controlling for patient age. Catheterizations performed by providers with greater historic use of FFR had significantly higher adjusted odds of being followed by PCI (1.73; CI: 1.26-2.37). CONCLUSION: Provider characteristics may impact whether patients receive a procedure post-catheterization. Further research is needed to characterize this relationship.

Socioeconomic Status and Gastric Cancer Surgical Outcomes: A National Cancer Database Study.

INTRODUCTION: Gastric cancer (GC) is the third leading cause of cancer-related death worldwide. Surgical resection is the gold standard of treatment. In the United States, race and socioeconomic status are associated with the diagnosis of GC; however, no studies have examined these as independent risk factors for surgical outcomes. Our study sought to investigate socioeconomic factors and GC surgical outcomes using a national cancer registry. METHODS: GC patients between 2004 and 2016 were identified using the National Cancer Database. Univariate and multivariate logistic regression was used to analyze associations between socioeconomic factors and 30-d mortality, 90-d mortality, and unplanned readmission rate. RESULTS: A total of 96,990 patients who received nonpalliative surgical treatment for GC were identified. When controlling for other clinical and socioeconomic factors, older age, male sex, higher comorbidities, larger tumor size, advanced stage disease, and inadequate resection were correlated with worse 30- and 90-d mortality. Additionally, 30-d and 90-d mortality was significantly lower when the patient's income (odds ratio [OR] = 0.77 and OR = 0.43, respectively, for >$63,333/y versus <$40.227/y) and the percentage of residents with a high school degree in their zip code (OR = 0.69 and OR = 0.52, respectively, for <6.3% no high school degree versus ≥ 17.6%) were higher. No significant disparate trends were identified in terms of race and insurance status or in unplanned readmissions on multivariate analysis. CONCLUSIONS: Lower income and the level of education at the place of residence were independently associated with higher 30-d and 90-d mortality in this study, highlighting the potential for a major socioeconomic disparity in this population.

A Description of Outcomes Experienced by Patients Whose Orders for Peripheral Artery Revascularization Were Reviewed by a Nondenial Prior Authorization Program.

OBJECTIVE: After a nondenial prior authorization program evaluates orders for peripheral artery revascularization (PAR), ordering physicians sometimes withdraw their orders based upon program recommendations. Some patients with withdrawn orders receive PAR if claudication does not resolve. To characterize patient outcomes under this program, we evaluated whether associations existed between the withdrawal of patients' initial PAR orders and the presence of claims for PAR and claims mentioning intermittent claudication (IC) in the following 16 weeks. METHODS: Orders for PAR placed from 1/1/19 to 9/30/19 for patients with Medicare Advantage health plans were extracted from a national healthcare organization's database. Claims data from 0 to 16 weeks following the order were reviewed to determine if patients had downstream PAR claims, or if they had emergency department or hospital claims mentioning IC. Chi-square tests were used to assess the association between order withdrawal and downstream PAR, as well as claims mentioning IC. Multivariate logistic regressions were run to assess the same, controlling for patient age, sex, urbanicity, local median income, state obesity rate, type of PAR, ordering physician specialty, and whether PAR was ordered in a hospital setting. RESULTS: Of 1588 orders meeting inclusion criteria, 71.9% (1038/1444) of authorized orders and 61.1% (88/144) of withdrawn orders were followed by PAR within 16 weeks, a significant difference (P < .01). Relatedly, 69.8% (1008/1444) of authorized orders and 70.8% (102/144) of withdrawn orders were followed by IC claims, an insignificant difference. Multivariate logistic regressions showed patients with withdrawn PAR orders had significantly lower adjusted odds of PAR (OR: 0.63; 95% CI: 0.44-0.91), but an insignificant difference in their adjusted odds of IC (OR: 1.10; CI: 0.76-1.64). CONCLUSIONS: Although patients with withdrawn PAR orders were significantly less likely to receive PAR in the subsequent 16 weeks, no association was found between withdrawn PAR orders and subsequent claims mentioning IC.

Utilization Trends of a Government-Sponsored Health Insurance Program in South India: 2014 to 2018.

OBJECTIVES: To characterize the utilization trends associated with the Aarogyasri health insurance scheme in Andhra Pradesh, India. METHODS: This is a retrospective cross-sectional study including participants enrolled in the Aarogyasri health insurance scheme, with recorded claims pertaining to inpatient care from quarter 3, 2014 through quarter 2, 2018. The main outcome measure, was annual utilization by service category, trended to characterize changes in the mean claim amount and the median length of stay. Mortality by service category was also trended. Mann-Kendall correlation was used to evaluate trends. Additionally, interdistrict migration for care in 2014 versus 2018 was examined to evaluate changes in access to care. RESULTS: The distribution of claims by caste significantly shifted over time, with members of backward castes and scheduled tribes filing more claims, and members of other castes and scheduled castes filing fewer claims. The median age of patients significantly increased, rising from 44.0 years in 2014 to 46.0 years in 2018. The nominal mean claim amount in 2018 was 105.4% of the 2014 average, but the 2018 real mean claim amount was 90.3% of the 2014 average. The median length of stay significantly decreased from 5 to 4 days. Mortality rates after procedures significantly decreased from 2.4% to 2.1%. Interdistrict migration to access care remained high among beneficiaries from the districts YSR Kadapa and West Godaveri in 2014 and 2018. CONCLUSIONS: Over time, the value delivered by Aarogyasri improved. More patients received care at lower real per claim cost, with a concurrent decline in mortality.

The association between a history of anxiety or depression and utilization of diagnostic imaging.

OBJECTIVE: While prior research shows that mental illness is associated with lower utilization of screening imaging, little is known about how mental illness impacts use of diagnostic imaging, other than for screening. This study explores the association between a history of anxiety or depression in the prior year and utilization of diagnostic imaging. METHODS: Commercial and Medicare Advantage health plan claims from 2017 and 2018 from patients with plans from one national organization were extracted. Exclusions were made for patients without continuous plan enrollment. History of anxiety or depression was determined using 2017 claims, and downstream diagnostic imaging was determined using 2018 claims. Univariate associations were assessed with Chi-square tests. A matched sample was created using Coarsened Exact Matching, with history of mental illness serving as the treatment variable. Logistic regressions were used to calculate adjusted odds ratios, before and after matching, controlling for age, sex, urbanicity, local income, comorbidities, claims history, region, and health plan characteristics. Associations between mental illness and chest imaging, neuroimaging, and emergency department imaging were also evaluated. RESULTS: The sample included 2,381,851 patients before matching. Imaging was significantly more likely for patients with a history of anxiety (71.1% vs. 55.7%, P < .001) and depression (73.2% vs. 55.3%, P < .001). The adjusted odds of any imaging were 1.24 (95% confidence interval [CI]: 1.22-1.26) for patients with a history of anxiety, and 1.43 (CI: 1.41-1.45) for patients with a history of depression before matching, and 1.18 (CI: 1.16-1.20) for a history of anxiety and 1.33 (CI: 1.32-1.35) for a history of depression after matching. Adjusted analyses found significant, positive associations between mental illness and chest imaging, neuroimaging, and emergency department imaging both before and after matching. DISCUSSION: In contrast to prior findings on screening, anxiety and depression were associated with greater likelihood of diagnostic imaging within the population studied.

Characterizing Cardiac Catheterization Utilization in a US Population with Commercial or Medicare Advantage Health Plans.

Background: Health plans and health systems need to understand the demand for common healthcare services to ensure adequate access to care. Utilization of cardiac catheterization is of particular interest, because it is relatively common and has the potential for variation across subpopulations, similar to the level of geographical variation in heart disease in the United States. Objectives: To illustrate how the utilization of cardiac catheterization has changed over time in a US population with commercial and Medicare Advantage health plans, and how it differs between subpopulations. Methods: Cardiac catheterization claims data from 2012 to 2018 were extracted from the database of a national healthcare organization offering commercial and Medicare Advantage health plans. Contemporaneous health plan enrollment data and government data were used to determine the patients' characteristics. Annual catheterizations per 1000 patients for the population as a whole and for subpopulations were determined using claims data. Spearman's rank-order correlation was used to assess the monotonicity of trends. Catheterization utilization for each subpopulation was compared with that of the population average. A second, patient-level analysis was used to determine the factors predictive of patients' catheterization utilization in 2018. Results: Across the overall population, the rate of cardiac catheterization was stable from 2012 to 2018. An adjusted analysis of 2018 data showed that catheterization utilization was significantly associated with older age, male sex, residence in a rural zip code, residence in a lower-income zip code, and residence in a state with a high obesity rate. The trendlines of the relative utilization of catheterization in subpopulations over time revealed similar patterns. Conclusion: Marked differences were observed in the rates of cardiac catheterization utilization between the subpopulations in our study. Overall, these data show a direct correlation between geographic residence, obesity level, wealth, and the rate of cardiac catheterization utilization. To ensure adequate access to care, health plans and health systems should explore the implications of disproportionately high demand for cardiac catheterization in populations from lower-income areas, higher obesity rate states, rural patients, and older patients.

Rate of Whole-Breast Hypofractionated Radiation Therapy Before Versus After Virtual Tumor Board Implementation.

PURPOSE: The virtual tumor board (VTB) is a multidisciplinary group of specialist physicians who remotely educate the treating physician on the development of an evidence-based cancer treatment plan that will enhance patient outcomes according to the available literature. The use of hypofractionated (HF) radiation therapy (RT) is a preferred approach according to National Comprehensive Cancer Network guidelines and is encouraged by the VTB, when appropriate. MATERIALS AND METHODS: An observational, cohort study using prior authorization and claims data were conducted to show how the relative use of HF and conventional fractionated (CF) RT changed after the implementation of the VTB. Orders and claims for qualifying patients from 1 year before launch (August 2016) to 1 year after launch (August 2018) of the VTB were extracted. Claims were examined to observe which patients received CF (28-35 fractions) versus HF (15-21 fractions) RT. χ2 tests were used to assess the association between time period and the ordering and use of HF RT. Logistic regressions were used to test the association, after adjusting for the patient's age, urbanicity, local average income, and the RT modality used. RESULTS: After implementation, we observed a significantly higher percentage of orders for HF RT (60.3% [n = 1,254 of 2,079] v 53.2% [n = 1,010 of 1,899]; P < .001) and claims for HF RT (71.5% [n = 1,143 of 1,598] v 59.0% [n = 941 of 1,595]; P < .001). Relative to before implementation, the adjusted odds of an order for HF RT was 1.35 (CI, 1.19 to 1.54), and the adjusted odds of a claim for HF RT was 1.76 (CI, 1.52 to 2.04). CONCLUSION: After the VTB was implemented, there was a significant increase in HF RT orders and claims.

Health Information Technology Resources to Support Measurement-Based Care.

To increase utilization and convert health information technology into measurement-based care, this article highlights 4 criteria and actions that help distinguish successful mobile mental health interventions: first, interest: draw on pervading interest in mobile mental health; second, engagement: offer personalized design features and recommendations; third, specificity and simplicity: provide simple, specific, and timely feedback; fourth, support: incorporate support from peers, family and friends, and caregivers.

Generating value with mental health apps.

BACKGROUND: Although apps are increasingly being used to support the diagnosis, treatment and management of mental illness, there is no single means through which costs associated with mental apps are being reimbursed. Furthermore, different apps are amenable to different means of reimbursement as not all apps generate value in the same way. AIMS: To provide insights into how apps are currently generating value and being reimbursed across the world, with a particular focus on the situation in the USA. METHOD: An international team performed secondary research on how apps are being used and on common pathways to remuneration. RESULTS: The uses of apps today and in the future are reviewed, the nature of the value delivered by apps is summarised and an overview of app reimbursement in the USA and other countries is provided. Recommendations regarding how payments might be made for apps in the future are discussed. CONCLUSIONS: Currently, apps are being reimbursed through channels with other original purposes. There may be a need to develop an app-specific channel for reimbursement which is analogous to the channels used for devices, drugs and laboratory tests.

The Association Between Use of Hypofractionation and Treatment Completion Among Recipients of Radiation Therapy Post-Mastectomy.

PURPOSE: Although there is some evidence to support the use of hypofractionated (HF) radiation therapy (RT) postmastectomy, it is not currently the standard of care. RT noncompletion and delayed completion have been shown to lead to inferior outcomes. This study assesses the association between the choice of an HF versus conventionally fractionated regimen and completion. METHODS AND MATERIALS: RT orders placed in 2016 and 2017 for patients with a national health plan, along with the associated claims, were extracted. Each order was assigned a target date for timely completion, as well as a date 30 days after the target, which was used to assess delayed completion. Univariate analyses and logistic regressions were conducted to test for an association between regimen and completion. A Poisson regression was used to examine the association between regimen and length of treatment delay among patients completing RT. RESULTS: Of the 743 orders meeting inclusion criteria, 56 (7.5%) were for HF. Unadjusted analyses found that the timely and delayed completion rates were significantly (P < .001) higher for patients receiving HF. The adjusted odds ratios (HF order versus CF order) were 3.96 (95% confidence interval, 2.23-7.01) for timely completion and 2.64 (95% confidence interval, 1.43-5.15) for completion within 30 days of the target. Among completers, an order for HF was significantly (P < .001) associated with less delay. CONCLUSIONS: When an HF regimen was ordered, patients were more likely to complete therapy without a delay, to complete therapy overall, and, if experiencing a delay, to experience a shorter delay.

Impact of the Artificial Nudge.

RATIONALE AND OBJECTIVES: Artificial intelligence (AI) is playing a growing role in the field of radiology. This article seeks to help readers quantify its impact when put into practice, using a lung nodule flagger as an example. MATERIALS AND METHODS: The one-time and ongoing costs associated with AI are explored. Costs are divided into three categories: direct costs, costs associated with operational changes, and downstream costs. Examples of each are provided. RESULTS: A framework for estimating the financial impact of AI is provided. CONCLUSION: The impact of AI is quantifiable, but estimates of its financial impact may not be portable across contexts. Different organizations may implement AI in different ways due to differences in clinical practices. Furthermore, different organizations have different hurdle rates for their investments. Finally, international cost-effectiveness analyses may not be generalizable due to differences in both practice patterns and the valuation placed upon quality. When quantifying the impact of AI, organizations should consider relying upon pilots and data from other similarly-situated organizations.