The digitization of healthcare in developing countries: examining individuals’ willingness to disclose personal health information

In recent years, the increasing use of health information technologies (HITs) in support of healthcare services in developing countries has raised concerns about the privacy of digitized personal health information (PHI). However, there is little understanding of these concerns and their impact on individuals’ PHI disclosure behaviours. This study seeks to improve current understanding of the factors that influence the willingness of individuals in developing countries to disclose their PHI to receive care where the disclosed PHI is digitized. To pursue this objective, this study proposes and tests a model of antecedents to PHI privacy concerns, trust in HIT, and PHI disclosure. Drawing on the procedural and interactional dimensions of justice theory and prior research it is proposed that individuals’ characteristics, experiences, and perceptions form PHI privacy concerns and trust in HIT. Drawing on the privacy calculus, key factors that drive and inhibit individuals’ PHI disclosure are also examined. This study was conducted using a quantitative research design. The proposed model was tested using data collected from a survey of 276 individuals in Ghana, a Sub-Saharan African country. The data was analysed using the partial least squares approach to structural equation modelling (PLS-SEM). The findings of the study show trust in HIT directly influence PHI disclosure and fully mediates the influence of trust in healthcare providers. Convenience and computer experience also drive PHI disclosure. Trust in HIT is further shaped by privacy risk, government regulation, computer experience, and health concern. Perceived attitude of health workers affects trust in HIT through trust in healthcare providers. Regarding inhibitors of PHI disclosure, individuals’ perceptions of the negative consequences that may result from the exposure of their disclosed PHI decrease their willingness to disclose PHI. The results further show that individuals’ concerns about the collection of their PHI differ from concerns about the management of the collected and electronically stored PHI. For example, individuals’ express lower PHI collection concerns but greater concerns about PHI management. The results showed that PHI collection concerns decrease PHI disclosure whereas PHI management concerns increase PHI disclosure. PHI management concerns are shaped by computer experience, privacy orientation and trust in healthcare, with trust in healthcare providers mediating the influence of government regulation and perceived attitude of health workers on PHI management concerns. On the other hand, privacy risk, age, gender, and health concern form PHI collection concerns. The results also show past experience of privacy violation has different effects on PHI collection and PHI management concerns, increasing collection concerns but decreasing the management concerns. Overall, the findings of the study provide insights into the drivers and inhibitors of PHI disclosure, the dimensions of PHI privacy concerns and their antecedents, as well as the antecedents to trust in HIT. These findings provide useful contributions to the IS privacy literature and actionable insights for healthcare stakeholders especially in developing countries, as they leverage HITs in the provision of healthcare services

The Importance of Transparency and Willingness to Share Personal Information

This study investigates the extent to which individuals are willing to share their sensitive personal information with companies. The study examines whether skepticism can influence willingness to share information. Additionally, it seeks to determine whether transparency can moderate the relationship between skepticism and willingness to share and whether 1) companies perceived motives, 2) individual’s prior privacy violations, 3) individuals’ propensity to take risks, and 4) individuals self-efficacy act as antecedents of skepticism. Partial Least Squares (PLS) regression is used to examine the relationships between all the factors. The findings indicate that skepticism does have a negative impact on willingness to share personal information and that transparency can reduce skepticis

Accessing Antecedents and Outcomes of RFID Implementation in Health Care

This research first conceptualizes, develops, and validates four constructs for studying RFID in health care, including Drivers (Internal and External), Implementation Level (Clinical Focus and Administrative Focus), Barriers (Cost Issues, Lack of Understanding, Technical Issues, and Privacy and Security Concerns), and Benefits (Patient Care, Productivity, Security and Safety, Asset Management, and Communication). Data for the study were collected from 88 health care organizations and the measurement scales were validated using structural equation modeling. Second, a framework is developed to discuss the causal relationships among the above mentioned constructs. It is found that Internal Drivers are positively related to Implementation Level, which in turn is positively related to Benefits and Performance. In addition, Barriers are found to be positively related to Implementation Level, which is in contrast to the originally proposed negative relationship. The research also compares perception differences regarding RFID implementation among the non-implementers, future implementers, and current implementers of RFID. It is found that both future implementers and current implementers consider RFID barriers to be lower and benefits to be higher compared to the non-implementers. This paper ends with our research implications, limitations and future research

Smart technology for healthcare: Exploring the antecedents of adoption intention of healthcare wearable technology

© The Author(s), 2019. Technological advancement and personalized health information has led to an increase in people using and responding to wearable technology in the last decade. These changes are often perceived to be beneficial, providing greater information and insights about health for users, organizations and healthcare and government. However, to date, understanding the antecedents of its adoption is limited. Seeking to address this gap, this cross-sectional study examined what factors influence users’ adoption intention of healthcare wearable technology. We used self-administrated online survey to explore adoption intentions of healthcare wearable devices in 171 adults residing in Hong Kong. We analyzed the data by Partial least squares – structural equation modelling (PLS-SEM). The results reveal that perceived convenience and perceived irreplaceability are key predictors of perceived useful ness, which in turn strengthens users’ adoption intention. Additionally, the results also reveal that health belief is one of the key predictors of adoption intention. This paper contributes to the extant literature by providing understanding of how to strengthen users’ intention to adopt healthcare wearable technology. This includes the strengthening of perceived convenience and perceived irreplaceability to enhance the perceived usefulness, incorporating the extensive communication in the area of healthcare messages, which is useful in strengthening consumers’ adoption intention in healthcare wearable technology

Disposition toward privacy and information disclosure in the context of emerging health technologies.

ObjectiveWe sought to present a model of privacy disposition and its development based on qualitative research on privacy considerations in the context of emerging health technologies.Materials and methodsWe spoke to 108 participants across 44 interviews and 9 focus groups to understand the range of ways in which individuals value (or do not value) control over their health information. Transcripts of interviews and focus groups were systematically coded and analyzed in ATLAS.ti for privacy considerations expressed by respondents.ResultsThree key findings from the qualitative data suggest a model of privacy disposition. First, participants described privacy related behavior as both contextual and habitual. Second, there are motivations for and deterrents to sharing personal information that do not fit into the analytical categories of risks and benefits. Third, philosophies of privacy, often described as attitudes toward privacy, should be classified as a subtype of motivation or deterrent.DiscussionThis qualitative analysis suggests a simple but potentially powerful conceptual model of privacy disposition, or what makes a person more or less private. Components of privacy disposition are identifiable and measurable through self-report and therefore amenable to operationalization and further quantitative inquiry.ConclusionsWe propose this model as the basis for a psychometric instrument that can be used to identify types of privacy dispositions, with potential applications in research, clinical practice, system design, and policy

Alter ego, state of the art on user profiling: an overview of the most relevant organisational and behavioural aspects regarding User Profiling.

This report gives an overview of the most relevant organisational and\ud behavioural aspects regarding user profiling. It discusses not only the\ud most important aims of user profiling from both an organisation’s as\ud well as a user’s perspective, it will also discuss organisational motives\ud and barriers for user profiling and the most important conditions for\ud the success of user profiling. Finally recommendations are made and\ud suggestions for further research are given

Reviewing the Drivers and Challenges in RFID Implementation in the Pharmaceutical Supply Chain

Counterfeiting is a global phenomenon that poses a serious financial threat to the pharmaceutical industry and more importantly jeopardizes public safety and security. Different measures, including new laws and regulations, have been put in place to mitigate the threat and tighten control in the pharmaceuticals supply chain. However, it appears that the most promising countermeasure is track-and-trace technology such as electronic-pedigree (E-pedigree) with Radio Frequency Identification (RFID) technology. In this study we present a framework exploring the antecedents and consequences of RFID applications in the pharmaceutical supply chain. The framework proposes that counterfeiting and E-pedigree regulation will drive the implementation of RFID in the pharmaceutical supply chain, which in turn provides strategic and operational benefits that enable competitive advantage. Meanwhile, the implementation of RFID requires overcoming many operational, technical and financial challenges. The framework provides a springboard that future study can explore using empirical data

Privacy in crowdsourcing:a systematic review

The advent of crowdsourcing has brought with it multiple privacy challenges. For example, essential monitoring activities, while necessary and unavoidable, also potentially compromise contributor privacy. We conducted an extensive literature review of the research related to the privacy aspects of crowdsourcing. Our investigation revealed interesting gender differences and also differences in terms of individual perceptions. We conclude by suggesting a number of future research directions.</p