Research on the Model of Consumer Health Information Seeking Behavior via Social Media

Purpose: We aim to create a model of consumer health information seeking behavior via social media, then to have a better understand of it. After that further efforts should be made to provide targeted recommendations for media managers to promote health communication via social media. Methods: Our custom model was derived from literature review, empirical research was tested by the use of questionnaire investigation, and then the collected data were analyzed by structural equation model tool SmartPLS. Finally, the custom model was modified according to the experimental results of SmartPLS. Results: A total of 239 (66.39%) of the respondents were female and 121 (33.61%) were male. The maximum of two stages of age were 18 - 29 (70.56%), 30 - 39 (13.89%). Wechat (60.28%), QQ Zone (55.22%), Micro-blog (48.89%) were the most commonly used social media to obtain health information. About 44.72% of respondents used social media to obtain health information multiple times a day. The whole numerical values of AVE, cronbach’s alpha, CR and square roots of AVE were above the benchmarks of themselves and showed great reliability and validity. All the 11 hypotheses had obvious statistical significance, the P-value of eight path coefficients exhibited <0.001, one path coefficient exhibited <0.01 and two path coefficients exhibited <0.05. Conclusions: A suitable model of consumer health information seeking behavior via social media was created and some inner relationships were found. Namely, gratification of health information and its platform had a positive effect on attitudes toward health information seeking behavior. Health information literacy and health status were proved to have a significant influence on attitudes toward health information seeking behavior, subject norms and perceived behavioral control respectively. In addition, attitudes toward the health information seeking behavior, subject norms and perceived behavioral control were proved to positively associate with health information seeking behavior intention.

Public health nurse observations of behavioral characteristics of fathers who contribute to the emotional instability of mothers, as presented in cases of infant abuse

The objective of this study is to look at the understanding and perceptions of public health nurses (PHNs) related to behavioral characteristics of fathers that contribute to emotional instability in mothers by reviewing abuse cases involving infants and very young children. A qualitative descriptive design was applied to the data analysis, based on a semi-structured interview administered to three experienced PHNs who had been in charge of maternal and child health services for at least five years at a public health department or health center;with the data obtained in the interview narratives analyzed. In the observations of the experienced PHNs, the behavioral characteristics of fathers who are instigators of child abuse can be classified into five categories, fathers who are: “Talking to others about marital problems without attempting to solve these by themselves”, “Working on learning about childcare seeking to correct childcare methods”, “Taking the initiative in childcare at cross purposes with mothers”, “Stressing the effort they (the fathers) put into childcare”, and “Failing to notice the own family situation and problems”. The findings of the study suggest the necessity for PHNs to understand fathers, to be aware of the difficulty of building a supportive relationship with fathers, and to improve skills enabling the PHNs to help fathers form good relationships with other family members.

Cluster DetectionMethod of Endogenous Security Abnormal Attack Behavior in Air Traffic Control Network

In order to enhance the accuracy of Air Traffic Control(ATC)cybersecurity attack detection,in this paper,a new clustering detection method is designed for air traffic control network security attacks.The feature set for ATC cybersecurity attacks is constructed by setting the feature states,adding recursive features,and determining the feature criticality.The expected information gain and entropy of the feature data are computed to determine the information gain of the feature data and reduce the interference of similar feature data.An autoencoder is introduced into the AI(artificial intelligence)algorithm to encode and decode the characteristics of ATC network security attack behavior to reduce the dimensionality of the ATC network security attack behavior data.Based on the above processing,an unsupervised learning algorithm for clustering detection of ATC network security attacks is designed.First,determine the distance between the clustering clusters of ATC network security attack behavior characteristics,calculate the clustering threshold,and construct the initial clustering center.Then,the new average value of all feature objects in each cluster is recalculated as the new cluster center.Second,it traverses all objects in a cluster of ATC network security attack behavior feature data.Finally,the cluster detection of ATC network security attack behavior is completed by the computation of objective functions.The experiment took three groups of experimental attack behavior data sets as the test object,and took the detection rate,false detection rate and recall rate as the test indicators,and selected three similar methods for comparative test.The experimental results show that the detection rate of this method is about 98%,the false positive rate is below 1%,and the recall rate is above 97%.Research shows that this method can improve the detection performance of security attacks in air traffic control network.

Adherence in CABG Patients: An Empirical Test of a Health Behavior Model

To benefit from a Coronary Artery Bypass Graft Surgery (CABG), patients must adhere to their therapeutic regimen. To test the extent of which the Information-Motivation-Behavioral Skills (IMB) model constructs explain the variability in adherence behaviors in CABG patients, and also to examine the relationship between the IMB model constructs, CABG patients (N = 152) were randomly assigned to either an intervention group, or a standard care control group. They completed pretest measures, and were reassessed later. Although perfect replication of the IMB model’s predicted pathways was not achieved in this study, support for several of these pathways was demonstrated. The estimated model for adherence-demonstrated good fit of the data. Motivation was a significant predictor of adherence behavior in CABG patients. These findings suggest that IMB model-based intervention that improves motivation can enhance adherence. Therefore, CABG patients’ education programs should mainly target motivation in order to affect adherence behavior.

Celebrity and ordinary users: A comparative study of microblog user behaviors on Sina Weibo

Purpose： This study aims to investigate and compare celebrity and ordinary users＇ behaviors on Sina Weibo. Design/methodology/approach： Data was collected from 12,555 ordinary users and 2,467 celebrity users on Sina Weibo. Correlation and regression analysis was performed on users＇ number of followings, number of followers and number of posts. Findings： The results revealed significant difference between famous and ordinary users＇ behaviors on Sina Weibo. We found correlation among ordinary users＇ number of followings, number of followers and number of posts, but for celebrity users, only their number of followings and number of posts are related with each other. For both ordinary and celebrity users, their number of followings significantly affects how many posts they publish. Research limitations： We only carried out our investigation on Sina Weibo and the findings need to be further verified on other microblogging platforms. Practical implications： This research is useful for microblogging service providers to understand different types of users and promote the continuous use of their services. Originality/value： This research delivers valuable insights into understanding of the characteristics of different types of microbloggers and the ways to increase user viscosity.

Investigating the relationships between emotional experiences and behavioral response

The Covid-19 pandemic produced a complex combination of intense negative emotions among the general public,influencing people's coping reactions toward the pandemic.Yet each discrete emotion may affect people's behaviors in different ways.Unveiling the specific emotion–behavior relationships can provide valuable implications for designing effective intervention programs.Through the lens of the appraisal theory of emotion,we assessed the relationships between negative emotions and pandemic-related behaviors among the Chinese population midst the early outbreak of the pandemic.An anonymous online survey was distributed to mainland of China participants(n=2976),which assessed individuals'emotional states and behavioral reactions to the pandemic.Consistent with the differential appraisal theme underlying each negative emotion as delineated by the appraisal theory,mixed relationships between emotions and pandemic-related behaviors were revealed.Specifically,anxiety was positively associated with behaviors of seeking pandemic-related information,sharing such information,and stockpiling preventive goods,yet,contrary to prediction,anxious people were reluctant to adopt preventive measures,which is maladaptive.Sad people sought information less frequently and exhibited lower intention to stockpile preventive goods;but,opposing prediction,they shared information less frequently.Angry people were more active in sharing information and in stockpiling preventive goods.These findings suggest that public health practitioners can utilize the emotion–behavior relationships to identify the vulnerable individuals who tend to adopt maladaptive coping behaviors,help them address emotional distress,and encourage their adoption of effective coping behaviors.

基于Web of Science在线健康信息搜寻行为的文献研究

目的本研究回顾Web of Science数据库中在线健康信息搜寻行为的相关文献,旨在探讨在线获取健康信息的途径和方法,寻找提高电子健康素养的干预措施。方法系统检索Web of Science数据库中有关在线健康信息搜寻行为的文献,涵盖2011—2021年间的英文实证研究文献。结果最终纳入文献126篇,研究范围遍布美国、中国、德国等多个国家和地区,研究方向涉及卫生保健服务、医学信息等,研究内容主要集中在癌症幸存者的健康信息、健康信息全国趋势调查、互联网健康信息等。本研究从行为主体、行为客体、行为环境、行为手段和行为结果5个要素对在线健康信息获取行为进行了归纳和总结。部分研究发现不同人群的搜寻行为和搜寻途径存在差异,造成差异的影响因素有个人、行为和环境因素等。结论国内外在线健康信息搜寻行为的研究总体关注度较高,重点研究了健康信息的搜寻途径、搜寻方式和提升路径等,但现有研究仍存在局限,研究者和机构之间的合作尚需加强,建议开展更为广泛的研究,以期为健康信息搜寻行为的干预提供借鉴。

Web search engine:characteristics of user behaviors and their implication

In this paper, first studied are the distribution characteristics of user behaviors based on log data from a massive web search engine. Analysis shows that stochastic distribution of user queries accords with the characteristics of power-law function and exhibits strong similarity, and the user' s queries and clicked URLs present dramatic locality, which implies that query cache and 'hot click' cache can be employed to improve system performance. Then three typical cache replacement policies are compared, including LRU, FIFO, and LFU with attenuation. In addition, the distribution character-istics of web information are also analyzed, which demonstrates that the link popularity and replica pop-ularity of a URL have positive influence on its importance. Finally, variance between the link popularity and user popularity, and variance between replica popularity and user popularity are analyzed, which give us some important insight that helps us improve the ranking algorithms in a search engine.

Information seeking and anxiety among colonoscopy-na?ve adults: direct-to-colonoscopy vs traditional consult-first pathways

AIM To investigate the effects of direct to colonoscopy pathways on information seeking behaviors and anxiety among colonoscopy-na?ve patients.METHODS Colonoscopy-na?ve patients at two tertiary care hospitals completed a survey immediately prior to their scheduled outpatient procedure and before receiving sedation.Survey items included clinical pathway(direct or consult),procedure indication(cancer screening or symptom investigation),telephone and written contact from the physician endoscopist office,information sources,and pre-procedure anxiety.Participants reported pre-procedure anxiety using a 10 point scale anchored by "very relaxed"(1) and "very nervous"(10).At least three months following the procedure,patient medical records were reviewed to determine sedative dose,procedure indications and any adverse events.The primary comparison was between the direct and consult pathways.Given the very different implications,a secondary analysis considering the patient-reported indication for the procedure(symptoms or screening).Effects of pathway(direct vs consult) were compared both within and between the screening and symptom subgroups.RESULTS Of 409 patients who completed the survey,34% followed a direct pathway.Indications for colonoscopy were similar in each group.The majority of the participants were women(58%),married(61%),and internet users(81%).The most important information source was family physicians(Direct) and specialist physicians(Consult).Use of other information sources,including the internet(20% vs 18%) and Direct family and friends(64% vs 53%),was similar in the Direct and Consult groups,respectively.Only 31% of the 81% who were internet users accessed internet health information.Most sought fundamental information such as what a colonoscopy is or why it is done.Pre-procedure anxiety did not differ between care pathways.Those undergoing colonoscopy for symptoms reported greater anxiety [mean 5.3,95%CI: 5.0-5.7(10 point Likert scale)] than those for screening colonoscopy(4.3,95%CI: 3.9-4.7).CONCLUSION Procedure indication(cancer screening or symptom investigation) was more closely associated with information seeking behaviors and pre-procedure anxiety than care pathway.

健康信息采纳行为研究——概念界定、理论模型与未来展望

[目的/意义]总结国内外健康信息采纳行为研究进展,发现现有研究已经取得的成绩,提出未来值得关注的潜在研究方向,为后续开展相关的理论研究提供参考。[方法/过程]通过对收集到的国内外健康信息采纳行为相关文献进行系统性梳理,界定健康信息采纳行为的概念,归纳健康信息采纳行为的表现形式,以及总结健康信息采纳行为理论模型的发展和衍化规律。[结果/结论]未来可考虑从健康信息采纳行为前置动因的构成、情境嵌套下的健康信息采纳行为、健康信息采纳执行意愿的中介作用和健康信息采纳实际行为的测量4个方面对健康信息采纳行为做进一步研究。

基于微信平台的健康信息行为研究:基本特征、主题范畴与展望

目的/意义梳理基于微信平台的健康信息行为研究现状,把握研究动态、拓宽媒介视角。方法/过程系统搜集国内外文献,运用内容分析法统计其发文趋势、研究方法和研究对象,归纳分析主题范畴并展望未来发展方向。结果/结论问卷调查法和访谈法广泛应用于微信平台健康信息行为研究中;老年微信用户和公众号功能成为热点研究对象;主要研究主题可归纳为健康信息使用行为、健康信息采纳行为、健康信息传播行为和持续使用行为4个范畴。未来应进一步丰富研究方法、细分研究对象、厘清主题内涵及外延。

慢性病患者健康信息利用:个体特征与健康信息特征的影响分析

基于前期质性研究构建的理论模型,本研究旨在揭示慢性病患者在健康管理过程中如何利用健康信息以及不同程度健康信息利用(高水平或低水平)的影响因素。本研究采用问卷调查法收集数据,结合多元线性回归分析和模糊集定性比较分析方法分析数据,识别影响用户不同程度信息利用水平的条件组合及核心因素。研究发现,慢性病患者健康信息利用影响因素可归纳为两种模式——以个体特征为核心影响因素的组合模式和以健康信息特征为核心影响因素的组合模式。基于个体特征的组合模式包括以健康信息素养为核心因素的认知能力驱动型、以自我效能感为核心因素的动机驱动型及以健康信息素养与自我效能感为核心因素的双因素驱动型。基于信息特征的组合模式包括信息内容质量驱动型及多因素驱动型,信息内容质量驱动型的核心影响因素为健康信息的论据质量和情绪倾向,多因素驱动型的核心影响因素为信息源专业性、可信度、可执行性和视觉表达型载体偏好。本研究拓展了健康信息行为研究领域,构建了慢性病患者健康信息利用影响因素理论模型,为改进针对慢性病患者的健康信息服务提供了理论和实践指导。

信息-动机-行为模式干预对慢性心力衰竭患者心理负担和健康信念的影响

目的:分析信息-动机-行为模式干预对慢性心力衰竭患者心理负担和健康信念的影响。方法:将2022年1月-2023年1月某院收治的80例慢性心力衰竭患者依据入院先后顺序分组。对照组40例予以常规临床干预,观察组40例在此基础上予以信息-动机-行为模式干预。比较两组干预前后的心理负担、健康信念、应对方式、依从性及生活质量。结果:干预后观察组的焦虑自评量表(SAS)、抑郁自评量表(SDS)评分低于对照组(t=-3.390,-4.355;P<0.05),健康信念量表各维度评分高于对照组(t=6.326,10.496,5.166,6.881,5.427;P<0.05),积极应对评分高于对照组,消极应对评分低于对照组(t=6.181,-7.647;P<0.05),用药知识、用药依从意愿及用药依从性评分高于对照组(t=6.412,5.605;P<0.05),生活质量量表(WHOQOL-BREF)各维度评分高于对照组(t=8.389,8.141,11.241,7.734;P<0.05)。结论:信息-动机-行为模式干预可减轻慢性心力衰竭患者的心理负担,提升其健康信念,改善其应对方式及依从性,且有助于患者生活质量的提高。

信息-知识-信念-行为干预模式对早期食管癌患者内镜黏膜下剥离术后康复信念与健康行为的影响

目的探讨信息-知识-信念-行为(IKAP)干预模式对早期食管癌患者内镜黏膜下剥离术后康复信念与健康行为的影响。方法将100例早期食管癌患者按照随机数字表法分为干预组与对照组,各50例。对照组患者接受食管癌的围术期常规干预,干预组实施IKAP干预模式。干预前后采用癌症患者自我感受负担量表(SPBS-CP)、Champion健康信念评估量表(CHBMS)、中文版健康行为能力自评量表(SRAHP)、食管癌患者生存质量量表评定两组患者的自我负担感受情况、康复信念情况、健康行为、生存质量。结果干预后,两组患者SPBS-CP总分及各维度评分均低于干预前,且干预组低于对照组(P<0.01)。干预后,两组患者CHBMS、SRAHP总分及各维度评分均高于干预前,且干预组高于对照组(P<0.05或0.01)。干预后,两组患者食管癌患者生存质量量表各维度评分均高于干预前,且干预组高于对照组(P<0.05或0.01)。结论IKAP干预模式通过系统的信息支持和健康教育,能有效降低早期食管癌患者内镜黏膜下剥离术后的自我感受负担,增强其康复信念,促进其健康行为,提升其生存质量。

信息资源管理视域下的健康信息学研究——国内外研究主题对比分析

[目的/意义]健康信息学正处于蓬勃发展阶段,本文旨在梳理国内外信息资源管理学科中健康信息学的研究现状,以期为我国信息资源管理领域健康信息学的深入发展提供参考。[方法/过程]本文搜集了43本中外信息资源管理期刊中近3年健康信息学相关的1236篇论文,采用内容分析法对其研究主题进行了分类编码;并在各主题下筛选了共228篇代表性论文,对比综述国内外研究的特点和异同。[结果/结论]信息资源管理领域健康信息学研究主题可归纳为健康需求与搜寻行为、健康信息技术研究、健康信息服务3个基础主题,以及公共卫生健康、健康信息素养、健康信息学中的文献计量、社交媒体中的健康信息4个交叉主题。国内外健康信息需求与信息行为和健康信息技术的相关研究存在一定差异,我国健康信息学进一步发展可借鉴国外经验,关注特定细分群体的健康信息需求与服务,提高信息技术在健康信息学的应用。

农村居民互联网健康信息行为分析

目的分析农村居民网络健康信息行为,为更好促进农村居民不良健康行为改变提供依据。方法采用随机抽样方法,选取2019年7月至2020年2月于齐齐哈尔市两个乡镇抽取230名18岁及以上的农村居民进行问卷调查。参考《威尔逊健康信息行为模型》《长沙市城市居民健康信息行为调查与对策研究》,自行设计健康信息行为问卷,统计分析农村居民人口学资料,医学信息需求情况、医学信息获取情况。结果本次调查中,男71名,女149名;文化程度小学以下17名,初中及以下125名,高中及中专47名,大专及以上31名。农村居民医学信息获取情况中,获取健康信息的途径,“互联网途径”“医疗机构”占比分别为66.82%、60.45%;利用互联网获取健康信息的途径,“使用搜索引擎直接搜索”占比最高,为56.82%;会使用网络搜索引擎获取健康信息占比分别为82.27%;当前阻碍获取健康信息的外在因素,“提供的途径少”“信息获取不方便”占比51.82%、51.36%;获取健康信息的自身限制因素,“害怕虚假信息”“信息太多,不知道用哪些”占比分别为66.36%、60.00%;查寻健康信息的主要障碍,“信息检索技巧不够”“工作忙,没时间”占比分别为30.91%、29.55%。农民医学信息利用情况中,农村居民在利用健康信息时能考虑健康信息的权威性、真实性、新颖性占比分别为88.18%、92.27%、85.91%。使用健康信息对病情判断者占比较高,为80.91%;理解获取的健康信息内容,大部分理解者占比60.00%;认为可改变现有的不良健康行为占比83.18%。结论农民健康信息行为存在不足,健康管理者积极采取一定措施,促进健康信息行为提升,进而促进健康行为改善。

慢性病病人在线健康信息搜寻行为研究进展

主要对慢性病病人在线健康信息搜寻行为的研究现状进行综述,包括慢性病病人在线健康信息搜寻行为的途径、内容、临床意义以及现存问题与建议,以期为今后医护人员健康传播策略的制订和慢性病病人疾病管理能力的提高提供参考。

主题差异化视角下老年人健康信息行为研究综述

[目的/意义]老年人健康信息行为研究是信息行为研究的一个特定领域,自身具有特定的研究现象和机理。健康信息深刻地影响老年人的健康行为,尤其老年人的潜在不适当用药和过度用药都与健康信息行为相关。[方法/过程]采用系统文献综述法,对老年人健康信息行为发生的机制、内在影响因素和外在环境的相关领域主题进行分类梳理,以研究热点问题、成果与挑战进行展开。[结果/结论]老年人健康信息行为与中青年人健康信息行为关注点存在着较大差异;城乡、不同发展阶段、不同社会属性、不同个体特征和不同场景下老年人健康信息行为也存在较大差异。老年人健康信息行为影响因素总体解释模型研究,健康信息需求、动机与体验,决策模型,数智社会环境下老年人健康信息行为,老年人健康数据安全和隐私保护,个性化健康监管,健康信息系统和健康信息平台等在未来可以成为老年人健康信息行为研究的热点领域。

基于区域卫生信息平台的深圳市盐田区带状疱疹流行特征分析及预测

目的探索带状疱疹(herpes zoster,HZ)的流行特征,开展短期预测,为HZ防制提供依据。方法基于深圳市盐田区区域卫生信息平台,回顾性调查盐田区2019—2023年HZ发病情况,对基本流行特征进行描述性分析,Joinpoint回归模型分析发病率变化趋势,GM(1,1)模型对发病率进行短期预测。结果2019—2023年深圳市盐田区共诊断5888例HZ病例,发病率呈逐年上升趋势,年均发病率5.85‰。0~<50岁年龄组病例占比(52.55%)高于≥50岁(47.45%),但发病率≥50岁(17.01‰)高于0~<50岁(3.67‰),女性发病率(6.15‰)高于男性(5.73‰)。50~<80岁各年龄组发病率逐年呈上升趋势(P<0.001)。带状疱疹后神经痛(post-herpetic neuralgia,PHN)发生率15.23%。GM(1,1)模型拟合精度等级为好,预测显示,2024—2026年HZ发病率呈上升趋势。结论HZ是值得关注的公共卫生问题,病例构成以0~<50岁居多,但≥50岁发病率高且呈明显上升趋势。GM(1,1)模型可用于HZ的发病预测,对HZ的流行趋势分析具有一定的指导意义。

在线健康信息搜寻行为对健康焦虑的影响机理研究

为更好地理解与应对健康焦虑,揭示在线健康信息搜寻对个体健康焦虑的内在影响机制,依据扩展的并行处理模型和认知行为理论构建模型,采用结构方程模型和模糊集定性比较分析混合方法,对315份问卷样本数据进行分析。首先,结构方程模型结果证明:健康信息搜寻频率与网络信息源偏好均正向影响健康焦虑;信息过载与自我诊断的中介与链式中介效应显著;健康信息感知效用的影响作用显著,预示存在缓解途径。其次,模糊集定性比较分析方法揭示了高度关注信息和效能缺乏两类高水平健康焦虑条件组态。研究结果阐释了在线健康信息搜寻行为对健康焦虑的4种影响机理,为理解和应对健康焦虑提供了新的理论视角,可为在线健康信息环境治理提供参考。