Involvement of Patients and Medical Professionals in the Assessment of Relative Effectiveness: A Need for Closer Cooperation

ObjectivesInvolvement of patients and medical professionals in assessment of relative effectiveness (relative effectiveness assessment) contributes to an efficient and effective health technology assessment (HTA) process and supports acceptance and implementation of the outcome. This study aimed to analyze stakeholder involvement in assessing relative effectiveness and how the parties involved value this collaboration.MethodsThis is a document analysis of all drug assessments completed in 2019 (20) by the public HTA agency of The Netherlands, enriched with semistructured interviews with employees of the HTA agency (18) and representatives of patient (5) and medical (11) associations involved in these assessments. Data were analyzed, coded, and categorized.ResultsIn almost half of the assessments, there was no coordination with the medical associations at the start of the relative effectiveness assessment and no patient associations involved in this phase. During the assessment procedure, patient and medical associations were always asked to comment on the draft report. Nevertheless, the strict 5-day deadline that the HTA agency uses as a response period often hampered a proper response and involvement. According to interviewees of the HTA agency, this leads to a great diversity in the substantive quality of their input. Patient and medical associations indicated that the HTA agency relies too much on “paper knowledge,” which leads to a (perceived) lack of alignment with clinical practice.ConclusionsThe limited involvement results in a lack of coordination and mutual trust. Optimizing involvement of patients and medical professionals in HTA practice requires effort from all parties involved. Procedural adjustments and better coordination, especially at the start of the assessment, would probably improve cooperation.     

"五习惯"医患沟通评价量表的构建及信效度研究

背景 医患沟通障碍是导致医疗纠纷发生的主要原因之一。目前，我国对医务人员医患沟通能力的评价研究较少，缺乏信效度良好的评估工具。 目的 构建"五习惯"医患沟通评价量表（5HCS），检验其信度和效度。 方法 2014年3月，采用Brislin翻译法在"四习惯"医患沟通评价体系（4HCS）的基础上，形成5HCS初稿；2014年4—6月，采用德尔菲法，使用问卷分两轮征求专家意见，根据专家意见修订条目后形成5HCS定稿；2018年3月，使用新构建的5HCS对127名住院医师的医患沟通能力进行评估，通过分析其评价数据，检验量表的内部一致性、评价者间信度、内容效度和标准关联效度。 结果 正式版5HCS包含5个维度（"尊重示善，融洽关系""采集信息，引导观点""表达共情，建立信任""风险告知，知情同意""提供诊断，协商决策"），21个条目。量表的Cronbach's α系数为0.716，各维度与量表总分的r值为0.524~0.692，各条目的内容效度指数（I-CVI）≥0.81，量表总分的评价者间信度r值为0.912，组内相关系数（ICC）=0.912，标准关联效度以中文版医患沟通技能评价量表（SEGUE）为标准，两个量表总分之间的r值为0.377（P<0.01）。 结论 5HCS具有良好的信度和效度，可将其作为我国住院医师医患沟通能力测评工具加以推广应用。     

A potential new front in health communication to encourage vaccination: Health education teachers

ObjectiveTo assess the potential for a new channel for effective vaccine health communication in the United States: the nation’s health education teachers.MethodsContent analysis of current curricular standards governing health education in the fifty states and the District of Columbia, and a 2019 nationally representative survey of middle and high school health education teachers in the United States.ResultsOnly 12 states require any discussion of vaccines or immunization, and none provide detailed guidance to teachers on critical knowledge that might help young adults make wise immunization decisions. Only 42% of teachers discuss benefits of vaccination and immunization in their classes. In contrast to the teaching of evolution and climate change, only a small minority (2.4%) are classified as vaccine skeptics.ConclusionsPublic school health education classes are an under-utilized health communication channel with the unrealized potential to convey medically accurate information to millions of young Americans. Low levels of vaccine skepticism among teachers suggest that this channel can be effectively utilized to improve vaccination uptake and thereby improve collective health outcomes.     

高校科技期刊的业务流程再造实践——以《中国有色金属学报》为例

【目的】 在媒体融合的背景下,探索高校科技期刊获得良性、可持续发展的业务流程再造方案。【方法】 通过问卷调查法和深度访谈法,对《中国有色金属学报》学术用户的实际需求进行诊断分析,并依据《中国有色金属学报》一年内的业务流程再造实践,总结和设计普适性较强的高校科技期刊业务流程再造方案。【结果】 《中国有色金属学报》在学术用户群体服务与管理、学术资源挖掘和利用、缩短出版周期和媒体融合等方面进行业务流程再造并取得了显著成效。【结论】 高校科技期刊要想谋求新的发展和突破,必须基于用户日益增长的学术需求进行业务拓展,同时基于技术和机制,与时俱进地进行业务流程再造。     

Encouraging COVID-19 vaccination via an evolutionary theoretical approach: A randomized controlled study in Japan

ObjectiveWe aimed to examine the effect of a message that target the fundamental human motive of kin care on COVID-19 vaccination recommendations among participants with young children, based on an evolutionary theoretical approach.MethodsParticipants with young children (n = 969) were randomly assigned either to a group that received an intervention message that targeted the fundamental motive of kin care, or that targeted the fundamental motive of disease avoidance, or a control message. Intention to receive COVID-19 vaccination was assessed both before and after reading the messages. A one-way ANOVA with Tukey’s or Games–Howell test was conducted.ResultsAn intervention message targeting the fundamental motive of kin care and disease avoidance significantly increased intention of vaccination versus a control message (p < 0.001, respectively).ConclusionThe evolutionary theoretical approach that focuses on fundamental human motives has the potential to extend the communication strategy for COVID-19 vaccination recommendations.Practice implicationsHealth professionals should deliver messages that target the fundamental motive of kin care as well as messages about the susceptibility and severity of COVID-19 and vaccine efficacy (e.g., “Get vaccinated against COVID-19 for your child’s sake, because if you are infected, you will be unable to care for your child.”)     

A discourse analysis of health provider interactions with parents who are reluctant to vaccinate

ObjectiveVaccine hesitancy is a persistent barrier to vaccination uptake, and health professionals report interactions with such parents to be difficult. Using discourse analytic techniques, we examine the foundation of a therapeutic relationship: the display of empathy and attempts to build rapport, in consultations between immunisation specialists and vaccine reluctant parents.MethodsConsultations between consenting clinicians and parents in two Specialist Immunisation Clinics in Australia were recorded. Twelve conversations between the clinicians and parents were analysed using interactional sociolinguistic (IS) discourse analytic methods.ResultsThis paper takes a case study approach by citing two interactions that exemplify the interactional work of the consultants as they strive to engender mutual understanding and goodwill, noting examples of discursive choices that demonstrate empathy and the building of rapport.ConclusionAwareness of discourse strategies that interweave relational and clinical goals enable a more nuanced understanding of communication skills that support a guiding partnership in vaccine related decisions with parents.Practical implicationsThrough highlighting the strategic interactional work that displays empathy and builds rapport, we can inform educational approaches and build a repertoire of communication choices that strengthen the communication skills of health professionals.     

Quantitative Automated Segmentation of Lipiodol Deposits on Cone-Beam CT Imaging Acquired during Transarterial Chemoembolization for Liver Tumors: A Deep Learning Approach

PurposeTo show that a deep learning (DL)–based, automated model for Lipiodol (Guerbet Pharmaceuticals, Paris, France) segmentation on cone-beam computed tomography (CT) after conventional transarterial chemoembolization performs closer to the “ground truth segmentation” than a conventional thresholding-based model.Materials and MethodsThis post hoc analysis included 36 patients with a diagnosis of hepatocellular carcinoma or other solid liver tumors who underwent conventional transarterial chemoembolization with an intraprocedural cone-beam CT. Semiautomatic segmentation of Lipiodol was obtained. Subsequently, a convolutional U-net model was used to output a binary mask that predicted Lipiodol deposition. A threshold value of signal intensity on cone-beam CT was used to obtain a Lipiodol mask for comparison. The dice similarity coefficient (DSC), mean squared error (MSE), center of mass (CM), and fractional volume ratios for both masks were obtained by comparing them to the ground truth (radiologist-segmented Lipiodol deposits) to obtain accuracy metrics for the 2 masks. These results were used to compare the model versus the threshold technique.ResultsFor all metrics, the U-net outperformed the threshold technique: DSC (0.65 ± 0.17 vs 0.45 ± 0.22, P < .001) and MSE (125.53 ± 107.36 vs 185.98 ± 93.82, P = .005). The difference between the CM predicted and the actual CM was 15.31 mm ± 14.63 versus 31.34 mm ± 30.24 (P < .001), with lesser distance indicating higher accuracy. The fraction of volume present ([predicted Lipiodol volume]/[ground truth Lipiodol volume]) was 1.22 ± 0.84 versus 2.58 ± 3.52 (P = .048) for the current model’s prediction and threshold technique, respectively.ConclusionsThis study showed that a DL framework could detect Lipiodol in cone-beam CT imaging and was capable of outperforming the conventionally used thresholding technique over several metrics. Further optimization will allow for more accurate, quantitative predictions of Lipiodol depositions intraprocedurally.