Personal Health and Wellness Management with Technologies

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    The Digital Divide in Healthcare: A Socio-Cultural Perspective of Digital Literacy
    ( 2022-01-04) Ehrari, Humira ; Tordrup, Lise ; Müller, Sune
    As the use of IT for health management increases, digital health literacy becomes an important factor. Based on semi-structured interviews, this study presents experts’ perceptions about patients’ abilities to use digital health technologies for health management purposes and their perspectives on the importance of digital health literacy. This sociologically inspired paper will contribute with insights and a multidimensional perspective on the processes of digital health management (field), the importance of patient’s abilities (capital) in improving their health (habitus) from the expert’s perspectives.
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    Patient Generated Health Data: Framework for Decision Making
    ( 2022-01-04) Singh, Neetu ; Varshney, Upkar ; Sarkar, Sumantra
    Patient information is a major part of healthcare decision making. Although currently scattered due to multiple sources and diverse formats, decision making can be improved if the patient information is readily available in a unified manner. Mobile technologies can improve decision making by integrating patient information from multiple sources. This study explores how patient generated health data (PGHD) from multiple sources can lead to improved healthcare decision making. A semi-systematic review is conducted to analyze research articles for transparency, clarity, and complete reporting. We conceptualize the data generated by healthcare professional as primarily from EHR/EMR and the data generated by patient as primarily from mobile apps and wearables. Eight themes led to the development of Convergence Model for Patient Data (CMPD). A framework was developed to illustrate several scenarios, to identify quality and timeliness requirements in mobile healthcare environment, and to provide necessary decision support.
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    My data, my choice?! The difference between fitness and stress data monitoring on employees’ perception of privacy
    ( 2022-01-04) Diel, Sören ; Gutheil, Niklas ; Richter, Fabian ; Buck, Christoph
    Besides the vast distribution in the private sector, employers begin to integrate wearables in occupational health management (OHM). Through the implementation of 'stress' and 'fitness monitoring', organizations are able to invest in employees' health and well-being. While employees' consent is mandatory for the implementation, these, in turn, might perceive monitoring as a risk instead of realizing the benefits going along. By conducting an experimental study, we compare employees' perceived privacy risks/costs (PRC) and benefits (PBE) regarding the two monitoring cases. According to our results, employees interpret their stress data as rather sensitive while rating the PBE of fitness monitoring higher. Further, fair communication practices towards employees plays an essential role in the successful implementation of OHM. The research article provides theoretical and practical implications and sheds light on paths for further research regarding actual use behavior, international aspects, and employers' interests.
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    Curse or Blessing? Combining Personality Traits and Technology Acceptance to Investigate the Intention to Use of Digital Contact Tracing in Germany
    ( 2022-01-04) Weissenfels, Silke ; Kappler, Karolin Eva ; Smolnik, Stefan ; Menzel, Mark
    In order to trace the transmission of COVID-19, digital contact tracing (DCT) provides an enormous value for the public health. However, the acceptance of the German contact tracing app, the Corona-Warn-App (CWA), falls short of the expected coverage in the general public. Accordingly, this study focuses on investigating the influencing factors on the CWA’s acceptance to demystify the missing puzzle and to face future pandemics. To assess this objective comprehensively, we investigate personality traits (guiding perception and behavior), subjective norm (expressing social influence), and trust in technology on acceptance variables. Our empirical results emphasize that besides the personality traits conscientiousness and agreeableness, perceived usefulness, subjective norm, and trust in technology play a vital role for engagement with the CWA. Our research offers starting points for the use of mobile health solutions, particularly in early epidemic stages.
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    Changing Personal Healthcare IT Use during the COVID-19 Pandemic
    ( 2022-01-04) Williams, Jason ; Gupta, Saurabh
    We examine post-adoptive IT use of fitness tracking technologies longitudinally using three data sets gathered before, during, and after the COVID-19 lockdowns in the United States. Using adaptive structuration theory (AST) as a meta-theory, we model post-adoptive IT use as having two fundamental types (continued and novel), each having distinct psychological and sociological antecedents. Sociological antecedents are further broken down into those coming from society and those coming from the technology. Findings indicate there are strong correlations between antecedents and the two types of use in all three data sets. Post-hoc analysis indicates continued and novel use vary across time. These variations are not static and appear to be non-linear. Implications and future research directions are also discussed.