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A growing number of investigators have commented on the lack of models to inform the design of behavioral intervention technologies (BITs). BITs, which include a subset of mHealth and eHealth interventions, employ a broad range of technologies, such as mobile phones, the Web, and sensors, to support users in changing behaviors and cognitions related to(More)
Multiple types of users (i.e. patients and care providers) have experiences with the same technologies in health care environments and may have different processes for developing trust in those technologies. The objective of this study was to assess how patients and care providers make decisions about the trustworthiness of mutually used medical technology(More)
BACKGROUND Distrust in the Internet as a source of health information remains common among older adults. The influence of this distrust on Internet use for health-related purposes, however, is unclear. OBJECTIVE The objective of our study was to explore how older adults' trust in the Internet influences their online health-related activities, and to(More)
OBJECTIVE The aim of this study was to examine whether lag sequential analysis could be used to describe eye gaze orientation between clinicians and patients in the medical encounter. This topic is particularly important as new technologies are implemented into multiuser health care settings in which trust is critical and nonverbal cues are integral to(More)
BACKGROUND The implementation of health technology is a national priority in the United States and widely discussed in the literature. However, literature about the use of this technology by historically underserved populations is limited. Information on culturally informed health and wellness technology and the use of these technologies to reduce health(More)
BACKGROUND Little has been written about physician stress that may be associated with electronic medical records (EMR). OBJECTIVE We assessed relationships between the number of EMR functions, primary care work conditions, and physician satisfaction, stress and burnout. DESIGN AND PARTICIPANTS 379 primary care physicians and 92 managers at 92 clinics(More)
BACKGROUND Electronic health records (EHRs) are increasingly used for clinical and translational research through the creation of phenotype algorithms. Currently, phenotype algorithms are most commonly represented as noncomputable descriptive documents and knowledge artifacts that detail the protocols for querying diagnoses, symptoms, procedures,(More)
OBJECTIVE The aim of this study was to examine eye gaze patterns between patients and physicians while electronic health records were used to support patient care. BACKGROUND Eye gaze provides an indication of physician attention to patient, patient/physician interaction, and physician behaviors such as searching for information and documenting(More)