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OBJECTIVE: The Impact of Event Scale-Revised (IES-R) is a widely used self-report for assessing posttraumatic stress disorder (PTSD), originally aligned with Diagnostic and Statistical Manual of Mental Disorders (DSM)-IV diagnostic criteria. This study aimed to evaluate the applicability of the IES-R under the DSM-5 guidelines and establish a cutoff point for DSM-5 PTSD diagnosis. METHODS: A total of 238 participants recruited from multiple psychiatric centers, including 67 patients with PTSD, 72 patients with psychiatric controls, and 99 healthy controls, were included in the study. All participants completed the Korean version of the Structured Clinical Interview for the DSM-5 research version to confirm the presence of PTSD, the Korean version of PTSD Checklist for DSM-5 (PCL-5), the Beck Depression Inventory-II, the Beck Anxiety Inventory, and the Spielberger State Trait Anxiety Inventory. RESULTS: The IES-R demonstrated good internal consistency and a high correlation with the PCL-5. Through factor analysis, 5 distinct dimensions emerged within the IES-R: sleep disturbance, intrusion, hyperarousal, avoidance, and numbness-dissociation. A proposed cutoff score of 25 on the IES-R was suggested for identifying patients with PTSD. CONCLUSION: These findings underscore the scale's concurrent validity with the DSM-5 PTSD criteria and its effectiveness as a screening tool. Implementing a cutoff score of 25 on the IES-R can enhance its utility in identifying DSM-5 PTSD cases.
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Recently, volatile organic compounds (VOCs) have been shown to act as precursors of secondary organic particles that react with ultraviolet rays in the atmosphere and contribute to photochemical smog, global warming, odor, and human health risks, highlighting the importance of VOC management. In this study, we measured VOC concentrations in various contexts including industrial and residential areas of Bucheon, Korea, through mobile laboratory and proton-transfer-reaction time-of-flight mass spectrometry methods to determine winter VOC concentrations and visualized the data based on spatial information. Regional characteristics, temperature/humidity, atmospheric conditions, wind speed, traffic volume, etc., during the measurement period of the study site were comprehensively reviewed. For this purpose, global information system (GIS)-based air quality data and various environmental variables were comprehensively reviewed to assess spatial and temporal concentrations in three dimensions rather than in tables and graphs. Among VOCs, the levels of toluene, methanol, and n + i-butene were relatively high, with average concentrations of 48.3 ± 67.2, 34.4 ± 102.7, and 32.6 ± 57.7 ppb, respectively, at the end of the working day. The highest concentrations occurred near the Ojeong Industrial Complex. Mobile pollution sources are also a major driver of VOCs, highlighting the necessity of comprehensively reviewing traffic variables such as road level, estimated traffic volume, and average speed when identifying hotspots of air pollution. GIS-based visualization analysis techniques will improve the efficiency of air quality management.
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Enrollment in Medicare Advantage (MA) has been rapidly growing. We examined whether MA enrollment affects the outcomes of post-acute nursing home care among patients with Alzheimer's disease and related dementias (ADRD). We exploited year-to-year changes in MA penetration rates within counties from 2012 through 2019. After adjusting for patient-level characteristics and county fixed effects, we found that MA enrollment was not associated with days spent at home, nursing home days, likelihood of becoming a long-stay resident, hospital days, hospital readmission, or 1-year mortality. There was a modest increase in successful discharge to the community by 0.73 percentage points (relative increase of 2.4%) associated with a 10-percentage-point increase in MA enrollment. The results are consistent among racial/ethnic subgroups and dual-eligible patients. These findings suggest an imperative need to monitor and improve quality of managed care among enrollees with ADRD.
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Importance: The Centers for Medicare & Medicaid Services' mandatory End-Stage Renal Disease Treatment Choices (ETC) model, launched on January 1, 2021, randomly assigned approximately 30% of US dialysis facilities and managing clinicians to financial incentives to increase the use of home dialysis and kidney transplant. Objective: To assess the ETC's association with use of home dialysis and kidney transplant during the model's first 2 years and examine changes in these outcomes by race, ethnicity, and socioeconomic status. Design, Setting, and Participants: This retrospective cross-sectional study used claims and enrollment data for traditional Medicare beneficiaries with kidney failure from 2017 to 2022 linked to same-period transplant data from the United Network for Organ Sharing. The study data span 4 years (2017-2020) before the implementation of the ETC model on January 1, 2021, and 2 years (2021-2022) following the model's implementation. Exposure: Receiving dialysis treatment in a region randomly assigned to the ETC model. Main Outcomes and Measures: Primary outcomes were use of home dialysis and kidney transplant. A difference-in-differences (DiD) approach was used to estimate changes in outcomes among patients treated in regions randomly selected for ETC participation compared with concurrent changes among patients treated in control regions. Results: The study population included 724â¯406 persons with kidney failure (mean [IQR] age, 62.2 [53-72] years; 42.5% female). The proportion of patients receiving home dialysis increased from 12.1% to 14.3% in ETC regions and from 12.9% to 15.1% in control regions, yielding an adjusted DiD estimate of -0.2 percentage points (pp; 95% CI, -0.7 to 0.3 pp). Similar analysis for transplant yielded an adjusted DiD estimate of 0.02 pp (95% CI, -0.01 to 0.04 pp). When further stratified by sociodemographic measures, including age, sex, race and ethnicity, dual Medicare and Medicaid enrollment, and poverty quartile, there was not a statistically significant difference in home dialysis use across joint strata of characteristics and ETC participation. Conclusions and Relevance: In this cross-sectional study, the first 2 years of the ETC model were not associated with increased use of home dialysis or kidney transplant, nor changes in racial, ethnic, and socioeconomic disparities in these outcomes.
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Hemodiálisis en el Domicilio , Fallo Renal Crónico , Trasplante de Riñón , Reembolso de Incentivo , Humanos , Femenino , Masculino , Estudios Transversales , Hemodiálisis en el Domicilio/estadística & datos numéricos , Hemodiálisis en el Domicilio/economía , Estados Unidos , Estudios Retrospectivos , Fallo Renal Crónico/terapia , Fallo Renal Crónico/cirugía , Anciano , Persona de Mediana Edad , MedicareRESUMEN
With Medicare Advantage (MA) enrollment surpassing 50 percent of Medicare beneficiaries, accurate risk-adjusted plan payment rates are essential. However, artificially exaggerated coding intensity, where plans seek to enhance measured health risk through the addition or inflation of diagnoses, may threaten payment rate integrity. One factor that may play a role in escalating coding intensity is health risk assessments (HRAs)-typically in-home reviews of enrollees' health status-that enable plans to capture information about their enrollees. In this study, we evaluated the impact of HRAs on Hierarchical Condition Categories (HCC) risk scores, variation in this impact across contracts, and the aggregate payment impact of HRAs, using 2019 MA encounter data. We found that 44.4 percent of MA beneficiaries had at least one HRA. Among those with at least one HRA, HCC scores increased by 12.8 percent, on average, as a result of HRAs. More than one in five enrollees had at least one additional HRA-captured diagnosis, which raised their HCC score. Potential scenarios restricting the risk-score impact of HRAs correspond with $4.5-$12.3 billion in reduced Medicare spending in 2020. Addressing increased coding intensity due to HRAs will improve the value of Medicare spending and ensure appropriate payment in the MA program.
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Medicare Part C , Ajuste de Riesgo , Humanos , Estados Unidos , Medicare Part C/economía , Medición de Riesgo , Anciano , Masculino , Femenino , Gastos en Salud/estadística & datos numéricos , Estado de Salud , Anciano de 80 o más AñosRESUMEN
Background/Objectives: to evaluate the association between androgen deprivation therapy (ADT) and newly developed neovascular age-related macular degeneration (AMD) in patients with prostate cancer. Methods: We identified 228,803 men from the nationwide claims database in the Republic of Korea diagnosed with prostate cancer between 1 August 2009 and 31 December 2018 and followed until April 2021. Cases were defined as those newly diagnosed with neovascular AMD during follow-up. Cases were matched with controls based on age, index date, and follow-up duration, at a case-to-control ratio of 1:4. Adjusted odds ratios (aORs) of incident neovascular AMD associated with ADT were estimated using conditional logistic regression. Results: The main analysis included 1700 cases and 6800 controls, with a median follow-up of 3.42 years. ADT was associated with a reduced risk of incident neovascular AMD in patients with prostate cancer (aOR = 0.840; 95% confidence interval [CI], 0.743-0.951; p = 0.0058) in the multivariable analysis. A cumulative ADT duration less than 1 year was associated with a reduced risk of neovascular AMD (aOR = 0.727; 95% CI, 0.610-0.866; p = 0.0004); however, no association was observed when the duration of ADT was between 1 and 2 years (aOR = 0.862; 95% CI, 0.693-1.074; p = 0.1854) or more than 2 years (aOR = 1.009; 95% CI, 0.830-1.226; p = 0.9304). Conclusions: In patients with prostate cancer, medical castration for less than a year is associated with a reduced risk of incident neovascular AMD. These results suggest that androgens are involved in the pathogenesis of neovascular AMD.
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Switchable tribological properties of ferroelectrics offer an alternative route to visualize and control ferroelectric domains. Here, we observe the switchable friction and wear behavior of ferroelectrics using a nanoscale scanning probe-down domains have lower friction coefficients and show slower wear rates than up domains and can be used as smart masks. This asymmetry is enabled by flexoelectrically coupled polarization in the up and down domains under a sufficiently high contact force. Moreover, we determine that this polarization-sensitive tribological asymmetry is widely applicable across various ferroelectrics with different chemical compositions and crystalline symmetry. Finally, using this switchable tribology and multi-pass patterning with a domain-based dynamic smart mask, we demonstrate three-dimensional nanostructuring exploiting the asymmetric wear rates of up and down domains, which can, furthermore, be scaled up to technologically relevant (mm-cm) size. These findings demonstrate that ferroelectrics are electrically tunable tribological materials at the nanoscale for versatile applications.
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Importance: The End-Stage Renal Disease Treatment Choices (ETC) model randomly selected 30% of US dialysis facilities to receive financial incentives based on their use of home dialysis, kidney transplant waitlisting, or transplant receipt. Facilities that disproportionately serve populations with high social risk have a lower use of home dialysis and kidney transplant raising concerns that these sites may fare poorly in the payment model. Objective: To examine first-year ETC model performance scores and financial penalties across dialysis facilities, stratified by their incident patients' social risk. Design, Setting, and Participants: A cross-sectional study of 2191 US dialysis facilities that participated in the ETC model from January 1 through December 31, 2021. Exposure: Composition of incident patient population, characterized by the proportion of patients who were non-Hispanic Black, Hispanic, living in a highly disadvantaged neighborhood, uninsured, or covered by Medicaid at dialysis initiation. A facility-level composite social risk score assessed whether each facility was in the highest quintile of having 0, 1, or at least 2 of these characteristics. Main Outcomes and Measures: Use of home dialysis, waitlisting, or transplant; model performance score; and financial penalization. Results: Using data from 125â¯984 incident patients (median age, 65 years [IQR, 54-74]; 41.8% female; 28.6% Black; 11.7% Hispanic), 1071 dialysis facilities (48.9%) had no social risk features, and 491 (22.4%) had 2 or more. In the first year of the ETC model, compared with those with no social risk features, dialysis facilities with 2 or more had lower mean performance scores (3.4 vs 3.6, P = .002) and lower use of home dialysis (14.1% vs 16.0%, P < .001). These facilities had higher receipt of financial penalties (18.5% vs 11.5%, P < .001), more frequently had the highest payment cut of 5% (2.4% vs 0.7%; P = .003), and were less likely to achieve the highest bonus of 4% (0% vs 2.7%; P < .001). Compared with all other facilities, those in the highest quintile of treating uninsured patients or those covered by Medicaid experienced more financial penalties (17.4% vs 12.9%, P = .01) as did those in the highest quintile in the proportion of patients who were Black (18.5% vs 12.6%, P = .001). Conclusions: In the first year of the Centers for Medicare & Medicaid Services' ETC model, dialysis facilities serving higher proportions of patients with social risk features had lower performance scores and experienced markedly higher receipt of financial penalties.
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Disparidades en Atención de Salud , Fallo Renal Crónico , Reembolso de Incentivo , Diálisis Renal , Autocuidado , Determinantes Sociales de la Salud , Anciano , Femenino , Humanos , Masculino , Negro o Afroamericano/estadística & datos numéricos , Población Negra/estadística & datos numéricos , Estudios Transversales , Disparidades en Atención de Salud/economía , Disparidades en Atención de Salud/etnología , Disparidades en Atención de Salud/estadística & datos numéricos , Hispánicos o Latinos/estadística & datos numéricos , Fallo Renal Crónico/economía , Fallo Renal Crónico/epidemiología , Fallo Renal Crónico/etnología , Fallo Renal Crónico/terapia , Trasplante de Riñón/estadística & datos numéricos , Medicaid/economía , Medicaid/estadística & datos numéricos , Pacientes no Asegurados/estadística & datos numéricos , Modelos Económicos , Reembolso de Incentivo/economía , Reembolso de Incentivo/estadística & datos numéricos , Diálisis Renal/economía , Diálisis Renal/métodos , Diálisis Renal/estadística & datos numéricos , Determinantes Sociales de la Salud/economía , Determinantes Sociales de la Salud/etnología , Determinantes Sociales de la Salud/estadística & datos numéricos , Estados Unidos/epidemiología , Poblaciones Vulnerables/estadística & datos numéricos , Listas de Espera , Autocuidado/economía , Autocuidado/métodos , Autocuidado/estadística & datos numéricosRESUMEN
Objective: Natural disasters often cause a wide array of post-traumatic psychological difficulties among survivors. Increased suicide risk was recently added to the list of lingering traumatic reactions that interfere with natural disaster survivors' adjustment and recovery. The purpose of this study was to investigate the relationship between psychological symptoms, perceived social support, and the risk of suicide among natural disaster survivors in Korea. Methods: A total of 451 Korean national disaster survivors participated in this study. Their depressive and post-traumatic stress symptoms, perceived social support, and suicide risk were measured. The participants were classified into three groups (minimal, low, and high suicide risk), and the psychosocial factors of the three groups were compared. Results: The risk of suicide increased with the severity of depressive symptoms and decreased as social support (particularly family support) increased. Depressive symptoms were identified as the most potent predictor of suicidality. Conclusion: Several psychosocial factors, particularly depressive symptoms, may have an impact on suicide risk in natural disaster survivors. Therefore, it is essential to focus on their depressive symptoms when assessing and treating natural disaster survivors.