The development and validation of the Privacy and Data Security Concerns Scale (PDSCS)

This study describes the development and validation of the Privacy and Data Security Concerns Scale (PDSCS), designed to assess job applicants’ privacy and data security concerns. Validity evidence for the PDSCS was established with four steps including: item generation and content validation, item reduction, confirmatory factor analysis, and construct and criterion validity. Our findings supported the content and proposed factor structure of the nine‐item PDSCS. Specifically, the proposed three‐factor structure (with the subdimensions: Secure connection, inappropriate use of information, and mistrust in employer security practices) as well as a second‐order factor, (termed privacy and data security concerns) were confirmed. Additionally, evidence is presented for the criterion validity of the PDSCS and its subdimensions.     

The Entangling of Problems,Solutions and Markets: On Building a Market for Privacy

An increasing number of public problems have been subject to market-based interventions as solutions. However, the relationship between problems and solutions in market-based interventions is complex. On occasions solutions are reformulated as understanding of the nature of the problem are advanced. Alternatively, problems are reconfigured to fit a standard solution. Or solutions are said to generate numerous new problems. The complex entangling of problems, solutions and markets can be explored by focusing on the field of online privacy. The complexities of this field can be analysed through three science and technology studies (STS) treatments of problems and solutions. First, issue-problematisation can be used to understand the ways in which a problem is assembled and comes to form the focus for discussion as an issue. Second, a paradigm-exemplar approach can assess the extent to which a particular coupling of problem and solution becomes an exemplar for others to draw on. Third, ontological constitution provides a focal point for analysing the ways in which the very nature of entities involved in problems, solutions and markets can be considered. There is analytic utility in each of these approaches in engaging with online privacy regulation and the emerging role of start-ups in introducing new privacy products to an emerging market place. However, these STS approaches leave us with questions regarding the relationship between market solutions and publics, the co-ordination of entities in market solutions and the normative questions that arise from entangling markets, problems and solutions.     

从婚检看隐私权与知情权的冲突与协调

医生为当事人进行婚检,当发现其中一方患有性病等疾病时,告知是否会涉及到隐私权与知情权的问题,就隐私权与知情权的冲突与协调问题进行了探讨.     

The Duty to Protect: Privacy and the Public University

This article addresses the tensions between the sense of responsibility that university administrators feel to protect student privacy with the requirement to be accountable and transparent to the public. This discussion is placed in the context of the history and purpose of post-secondary education.     

经阴道超声检查的医学伦理学思考

经阴道超声（transvaginal ultrasound,TVS）检查是妇产科的一项重要检查技术,应坚持将患者的利益放在首位。在检查前应首先充分告知患者检查的必要性、安全性,让患者理解,并征得其同意,检查时应注意保护患者的隐私,检查后不泄露患者的秘密,全心全意为患者服务,真正做到以患者为中心,共建和谐医院、和谐社会。     

医院的教学任务与患者隐私权的保护

医院在教学中,常会侵害患者的隐私权。实践中,要调和医院的教学任务与患者隐私权保护之间的矛盾,医院应该事先取得患者的同意,在诊疗与教学过程中,尊重患者,增强相互间的信任,同时还可以用“标准化病人”和“模拟化临床教学”的方式给实习生提供实习机会。而解决该问题,最终还得依靠立法的不断完善,以对此提供充分的法律保障。     

湖北省保健干部健康状况主要影响因素分析

临床见习对整个医院医学体系维持、运行和发挥功能起着很重要的作用,但在具体实践中与患者的隐私权发生冲突时,又该如何保护患者的隐私权?以案件为例进行伦理分析,并通过伦理论辩求证"尊重自主原则"是保护患者隐私权的主要原则。     

Confidentiality, privacy, and the facilitating role of psychoanalytic organizations

Burgeoning external threats to confidentiality by claims to clinical information create unprecedented challenges for psychoanalysts. Internal threats arise from the use of clinical material for educational, scientific and historical purposes. Traditionally, confidentiality is considered a patient's right and an analyst's obligation; privacy is not usually stated as a professional requirement. Little consideration has been given to the impact of the confidentiality and privacy dilemmas that analysts encounter throughout their careers. There has been no systematic examination of the confidentiality policies of psychoanalytic organizations, nor has their role in facilitating maintenance of patient confidentiality and analysts' privacy been made explicit. The research reported here was undertaken to address these issues and to obtain baseline information about the current confidentiality policies and practices of psychoanalytic organizations in three English-speaking countries (Britain, Canada and the USA). The author discusses survey results in the light of the challenges which arise at each phase of the analytic career. She makes suggestions as to how psychoanalytic organizations can and should facilitate analysts' resolutions of contemporary confidentiality and privacy dilemmas.     

Maintained Individual Data Distributed Likelihood Estimation (MIDDLE)

Maintained Individual Data Distributed Likelihood Estimation (MIDDLE) is a novel paradigm for research in the behavioral, social, and health sciences. The MIDDLE approach is based on the seemingly impossible idea that data can be privately maintained by participants and never revealed to researchers, while still enabling statistical models to be fit and scientific hypotheses tested. MIDDLE rests on the assumption that participant data should belong to, be controlled by, and remain in the possession of the participants themselves. Distributed likelihood estimation refers to fitting statistical models by sending an objective function and vector of parameters to each participant’s personal device (e.g., smartphone, tablet, computer), where the likelihood of that individual’s data is calculated locally. Only the likelihood value is returned to the central optimizer. The optimizer aggregates likelihood values from responding participants and chooses new vectors of parameters until the model converges. A MIDDLE study provides significantly greater privacy for participants, automatic management of opt-in and opt-out consent, lower cost for the researcher and funding institute, and faster determination of results. Furthermore, if a participant opts into several studies simultaneously and opts into data sharing, these studies automatically have access to individual-level longitudinal data linked across all studies.     

Portable Digital Devices: Meeting Challenges to Psychotherapeutic Privacy

Portable digital devices, such as smartphones, tablets, and netbooks, now permeate our society. These devices allow substantial efficiencies in access to and communication of information by mental health professionals. They also bring with them risks to psychotherapist–client privacy. This article reviews these threats and offers suggestions as to their mitigation.