The Utilization and National Variation of Plain X-Ray Services by Australian Residents of Long-Term Care Facilities

ObjectivesTo (1) estimate incidence, trends, and determinants of government-subsidized diagnostic radiography (ie, plain x-ray) services utilization by Australian long-term care facility (LTCF) residents between 2009 and 2016; (2) examine national variation in services used.DesignA repeated cross-sectional study.Setting and ParticipantsAustralian LTCF residents who were ≥65 years old.MethodsMedicare Benefits Schedule subsidized plain x-rays employed for diagnosing fall-related injuries, pneumonia, heart failure, and acute abdomen or bowel obstruction were identified. Yearly sex- and age-standardized utilization rates were calculated. Poisson and negative binomial regression models were employed. Facility-level variation was examined graphically. Overall and examination site–specific analyses were conducted.ResultsA total of 521,497 LTCF episodes for 453,996 individuals living in 3018 LTCFs were examined. The median age was 84 years (interquartile range 79-88), 65% (n = 339,116) were women, and 53.9% (n = 281,297) had dementia. In addition, 34.5% (n = 179,811) of episodes had at least one x-ray service. Overall, there was a 12% increase in utilization between 2009 and 2016 (from 535/1000 in 2009 to 602/1000 person-years in 2016, incidence rate ratio=1.02, 95% confidence interval 1.02-1.02). Factors associated with x-ray use included being 80-89 years old, being a man, not having dementia, having multiple health conditions (4-6 or ≥7 compared to 0-3), being at a smaller facility (0-24 bed compared to 50-74), facility located in the Australian state of New South Wales, or in major cities (compared to regional areas). National variation in x-ray service use, with largest differences observed by state, was detected.Conclusions and ImplicationsPlain x-ray service utilization by LTCF residents increased 12% between 2009 and 2016. Sex, age, dementia status, having multiple health conditions as well as facility size, and location were associated with plain x-ray use in LTCFs and use varied geographically. Differences in x-ray service utilization by residents highlight lack of consistent access and potential over- or underutilization.     

Child developmental and special education service receipt: The intersection of health and poverty

BackgroundChildren born of low birth weight (LBW) and/or premature may have developmental delays and difficulties. The vulnerability, without early intervention, would have detrimental lifelong effects.ObjectivesThis study examined 1) the relationship between LBW and prematurity and the occurrence and timing of children's receipt of developmental and special education services; and 2) whether poverty intersects with LBW and prematurity affecting service receipt.MethodsThis population-based study used cross-sectional data from the National Survey of Children's Health which consisted of approximately 52,000 participants aged 1–17 between 2017 and 2018 in the United States. We conducted logistic regression to analyze the predictive relationship of LBW/prematurity and the occurrence of receiving developmental and special education services. We then conducted ordered logistic regression to examine whether LBW and prematurity predicted the timing of receiving developmental and special education services. Further, we conducted moderating analyses to examine whether the predictive relationships above varied with poverty. The analyses listed above were weighted to reflect the population drawn.ResultsChildren born with LBW and prematurity were more likely to receive developmental and special education services and they tended to receive services earlier than those born at normal weight and term. Educational disparities were evident among children in low-income families. Children of LBW in low-income families were less likely to receive earlier services than those in affluent families.ConclusionsThis study indicates developmental and special education needs of children born LBW and/or premature. With restrained assets, low-income families may need more assistance to promote optimal development for their children.     

成人牙周病错牙合畸形的正畸治疗

对 2 3例成人牙周病继发牙颌畸形的患者 ,在牙周基础治疗控制牙周炎症的基础上 ,应用Edgewise固定矫治器矫治或活动 -固定矫治器联合矫治 .矫治前后效果明显 ,牙排列整齐 ,咬合关系良好 ,牙周状况明显改善 ,不但改善了功能和美观 ,还保留了患牙牙齿 .通过典型病例介绍 ,讨论了成人牙周病继发牙颌畸形的正畸治疗时机、牙周维护、矫治特点等 ,进一步说明了正畸治疗是牙周病综合治疗的一个重要部分 .     

IMPROVING ACCESS TO HEALTH SERVICES IS STRATEGIC PRIORITY OF PRODUCTIVITY DEVELOPMENT

As one of the basic human rights, health is an important guarantee for productivity. The authors introduce the Andersen's behavioral model of health service use,as well as the conception and classification of access to health services based on the model. Meanwhile,the relative guidelines and the impact on the health reform of China are discussed, compared with America's and China's. This paper propounds three strategic priority of productivity development.     

Respuesta rápida a COVID-19, estrategias de escalada y desescalada para ajustar la capacidad suplementaria de camas de UVI a una epidemia de gran magnitud

BackgroundA major challenge during the COVID-19 outbreak is the sudden increase in ICU bed occupancy rate. In this article we reviewed the strategies of escalation and de-escalation put in place at a large university hospital in Madrid during the COVID-19 outbreak, in order to meet the growing demand of ICU beds.Materials and methodsThe data displayed originated from the hospital information system and the hospital contingency plan.ResultsThe COVID-19 outbreak produced a surge of ICU patients which saturated the available ICU capacity within a few days. A total of four new ICUs had to be opened in order to accommodate all necessary new ICU admissions. Management challenges included infrastructure, material allocation and ICU staffing. Through the strategies put in place the hospital was able to generate a surge capacity of ICU beds of 340%, meet all requirements and also maintain minimal surgical activity.ConclusionsHospital surge capacity is to date hardly quantifiable and often has to face physical limitations (material, personnel, spaces). However an extremely flexible and adaptable management strategy can help to overcome some of these limitations and stretch the system capacities during times of extreme need.     

Lung transplant waitlist outcomes in the United States and patient travel distance

There is a broad range of patient travel distances to reach a lung transplant hospital in the United States. Whether patient travel distance is associated with waitlist outcomes is unknown. We present a cohort study of patients listed between January 1, 2006 and May 31, 2017 using the Scientific Registry of Transplant Recipients. Travel distance was measured from the patient's permanent zip code to the transplant hospital using shared access signature URL access to Google Maps, and assessed using multivariable competing risk regression models. There were 22 958 patients who met inclusion criteria. Median travel distance was 69.7 miles. Among patients who traveled > 60 miles, 41.2% bypassed a closer hospital and sought listing at a more distant hospital. In the adjusted models, when compared to patients who traveled ≤60 miles, patients who traveled >360 miles had a 27% lower subhazard ratio (SHR) for waitlist removal (SHR 0.73, 95% confidence interval [CI]: 0.60, 0.89, P = .002), 16% lower subhazard for waitlist death (SHR 0.84; 95% CI 0.73-0.95, P = .07), and 13% increased likelihood for transplant (SHR 1.13, 95% CI: 1.07, 1.20, P < .001). Many patients bypassed the nearest transplant hospital, and longer patient travel distance was associated with favorable waitlist outcomes.     

Cost-effectiveness of using hepatitis C viremic hearts for transplantation into HCV-negative recipients

Outcomes following hepatitis C virus (HCV)-viremic heart transplantation into HCV-negative recipients with HCV treatment are good. We assessed cost-effectiveness between cohorts of transplant recipients willing and unwilling to receive HCV-viremic hearts. Markov model simulated long-term outcomes among HCV-negative patients on the transplant waitlist. We compared costs (2018 USD) and health outcomes (quality-adjusted life-years, QALYs) between cohorts willing to accept any heart and those willing to accept only HCV-negative hearts. We assumed 4.9% HCV-viremic donor prevalence. Patients receiving HCV-viremic hearts were treated, assuming $39 600/treatment with 95% cure. Incremental cost-effectiveness ratios (ICERs) were compared to a $100 000/QALY gained willingness-to-pay threshold. Sensitivity analyses included stratification by blood type or region and potential negative consequences of receipt of HCV-viremic hearts. Compared to accepting only HCV-negative hearts, accepting any heart gained 0.14 life-years and 0.11 QALYs, while increasing costs by $9418/patient. Accepting any heart was cost effective (ICER $85 602/QALY gained). Results were robust to all transplant regions and blood types, except type AB. Accepting any heart remained cost effective provided posttransplant mortality and costs among those receiving HCV-viremic hearts were not >7% higher compared to HCV-negative hearts. Willingness to accept HCV-viremic hearts for transplantation into HCV-negative recipients is cost effective and improves clinical outcomes.     

Kidney transplant program waitlisting rate as a metric to assess transplant access

Kidney transplant program performance in the United States is commonly measured by posttransplant outcomes. Inclusion of pretransplant measures could provide a more comprehensive assessment of transplant program performance and necessary information for patient decision-making. In this study, we propose a new metric, the waitlisting rate, defined as the ratio of patients who are waitlisted in a center relative to the person-years referred for evaluation to a program. Furthermore, we standardize the waitlisting rate relative to the state average in Georgia, North Carolina, and South Carolina. The new metric was used as a proof-of-concept to assess transplant-program access compared to the existing transplant rate metric. The study cohorts were defined by linking 2017 United States Renal Data System (USRDS) data with transplant-program referral data from the Southeastern United States between January 1, 2012 and December 31, 2016. Waitlisting rate varied across the 9 Southeastern transplant programs, ranging from 10 to 22 events per 100 patient-years, whereas the program-specific waitlisting rate ratio ranged between 0.76 and 1.33. Program-specific waitlisting rate ratio was uncorrelated with the transplant rate ratio (r = −.15, 95% CI, −0.83 to 0.57). Findings warrant collection of national data on early transplant steps, such as referral, for a more comprehensive assessment of transplant program performance and pretransplant access.