乳腺癌随访和药物副作用管理策略的研究进展

乳腺癌是全球女性发病率最高的恶性肿瘤,随着诊断技术及治疗手段的不断提高,乳腺癌患者接受系统治疗后生存期明显延长。乳腺癌患者需要长时间的随访以便及早监测到局部复发和远处转移。此外,激素敏感性乳腺癌患者还需要给予5~10年的内分泌治疗,针对其副作用的全程管理也需要随访,进而提高患者的生活质量,减轻患者疾病负担。本文就近年来乳腺癌随访相关方面进行简要综述。     

Effects of state reinsurance programs on health insurance exchange premiums and insurer participation

Objective

The aim of the study was to estimate the effect of the state-based reinsurance programs through the section 1332 State Innovation Waivers on health insurance marketplace premiums and insurer participation.

Data Source

2015 to 2022 Robert Wood Johnson Foundation Health Insurance Exchange Compare Datasets.

Study Design

An event study difference-in-differences (DD) model separately for each year of implementation and a synthetic control method (SCM) are used to estimate year-by-year effects following program implementation.

Data Collection/Extraction Methods

Not applicable.

Principal Findings

Reinsurance programs were associated with a decline in premiums in the first year of implementation by 10%–13%, 5%–19%, and 11%–17% for bronze, silver, and gold plans (p < 0.05). There is a trend of sustained declines especially for states that implemented their programs in 2019 and 2020. The SCM analyses suggest some effect heterogeneity across states but also premium declines across most states. There is no evidence that reinsurance programs affected insurer participation.

Conclusion

State-based reinsurance programs have the potential to improve the affordability of health insurance coverage. However, reinsurance programs do not appear to have had an effect on insurer participation, highlighting the need for policy makers to consider complementary strategies to encourage insurer participation.     

Bayesian consensus clustering for multivariate longitudinal data

In clinical and epidemiological studies, there is a growing interest in studying the heterogeneity among patients based on longitudinal characteristics to identify subtypes of the study population. Compared to clustering a single longitudinal marker, simultaneously clustering multiple longitudinal markers allow additional information to be incorporated into the clustering process, which reveals co-existing longitudinal patterns and generates deeper biological insight. In the current study, we propose a Bayesian consensus clustering (BCC) model for multivariate longitudinal data. Instead of arriving at a single overall clustering, the proposed model allows each marker to follow marker-specific local clustering and these local clusterings are aggregated to find a global (consensus) clustering. To estimate the posterior distribution of model parameters, a Gibbs sampling algorithm is proposed. We apply our proposed model to the primary biliary cirrhosis study to identify patient subtypes that may be associated with their prognosis. We also perform simulation studies to compare the clustering performance between the proposed model and existing models under several scenarios. The results demonstrate that the proposed BCC model serves as a useful tool for clustering multivariate longitudinal data.     

风险管理在儿科急诊护理工作中的应用研究

目的研究风险管理在儿科急诊护理工作中的应用。方法选取2021年10月至12月间来我科室就诊的100例患儿作为研究对象,将其分为研究组、对照组两组,每组各50例患儿。运用常规护理模式护理对照组患儿,运用风险管理模式,为研究组患儿给予护理干预,分析二组发生不良护理事故的情况并统计护理满意度。结果研究期间,研究组不良护理事件发生率为2.0%,对照组不良护理事件发生率为12.0%；研究组对护理工作的满意度为98.0%,对照组对护理工作的满意度为84.0%,P<0.05,组间差异具统计学意义。结论将风险管理应用于儿科急诊护理工作,可降低不良事件发生几率,保障患儿安全,具有推广应用价值。     

A Pre-Protocol/Post-Protocol Quality Improvement Initiative Specific to One Hospital for Security of Pathologic Specimen

ObjectiveThe objective of this study was to reduce errors in a pathologic specimen with the help of a protocol systematizing the pathology specimen management process in the operating room.Materials and methodThis quasi-experimental study was carried out in the operating room unit of a research and training hospital. A protocol systematizing the process of specimen management in secure surgical pathology and prepared in light of the current literature was used as an intervention, and the effectiveness of the protocol was tested.ResultsIt was determined that the rate of adverse events decreased from .3226% (68 of 21,078) to .032% (6 of 18,706) after the protocol systematizing the surgical pathology specimen management process prepared by the researchers, and the protocol was found to be effective by 90% (P = .03).ConclusionBased on the data obtained in this study, we recommend the use of a pathologic specimen management protocol in the operating room.