77 research outputs found
TURF: Toward a unified framework of EHR usability
AbstractThis paper presents a unified framework of EHR usability, called TURF, which is (1) a theory for describing, explaining, and predicting usability differences; (2) a method for defining, evaluating, and measuring usability objectively; (3) a process for designing built-in good usability; and (4) once fully developed, a potential principle for developing EHR usability guidelines and standards. TURF defines usability as how useful, usable, and satisfying a system is for the intended users to accomplish goals in the work domain by performing certain sequences of tasks. TURF provides a set of measures for each of the useful, usable, and satisfying dimensions of usability. TURF stands for task, user, representation, and function, which are the four components that determine the usability of an EHR system. These four components are described with theoretical descriptions along with examples of how usability is measured in several case studies. How TURF can be used to improve usability through redesign is also demonstrated in a case study. In summary, this paper states that usability can not only be defined scientifically under a coherent, unified framework, it can also be measured objectively and systematically
Does the Message Matter? Enhancing Patient Adherence Through Persuasive Messages
To improve health and reduce costs, we need to encourage patients to make better healthcare decisions. Many informatics interventions are aimed at improving health outcomes by influencing patient behavior. However, we know little about how the content of a message in these interventions can influence a health-related decision. In this research we formulate a conceptual model to help explain and guide the design of “persuasive messages”, those which can change and influence patient behavior. We apply the conceptual model to design persuasive appointment reminder messages using humancentered design principles. Finally, we empirically test our hypotheses in a randomized controlled trial in order to determine the effectiveness of persuasive appointment reminders to reduce the number of missed appointments in a sample of 1016 subjects in a community health center. The results of the study confirm that reminder messages are effective in reducing missed appointment compared with no reminders (p=0.028). Further, reminder messages that incorporate heuristic cues such as authority, commitment, liking, and scarcity are more effective than reminder messages without such cues (p=0.006). However, the addition of systematic arguments or reasons for attending appointments have no effect on appointment adherence (p=0.646). The results of this research suggest that the content of reminder messages may be an important factor in helping to reduce missed appointments
ADEA‐ADEE Shaping the Future of Dental Education III
The central purpose of scientific research and emerging dental health technologies is to improve care for patients and achieve health equity. The Impact of Scientific Technologies and Discoveries on Oral Health Globally workshop conducted joint American Dental Education Association (ADEA) and the Association for Dental Education in Europe (ADEE) 2019 conference, Shaping the Future of Dental Education III, highlighted innovative technologies and scientific discoveries to support personalized dental care in an academic and clinical setting. The 2019 workshop built upon the new ideas and way forward identified in the 2017 ADEE‐ADEA joint American Dental Education Association (ADEA) and the Association for Dental Education in Europe (ADEE) 2019 conference, Shaping the Future of Dental Education II held in London. During the most recent workshop the approach was to explore the “Teaching Clinic of the Future”. Participants applied ideas proposed by keynote speakers, Dr. Walji and Dr. Vervoorn to educational models (Logic Model) in an ideal dental education setting. It is only through this continuous improvement of our use of scientific and technological advances that dental education will be able to convey to students the cognitive skills required to continually adapt to the changes that will affect them and consequently their patients throughout their career. This workshop was a valuable experience for highlighting opportunities and challenges for all stakeholders when aiming to incorporate new technologies to facilitate patient care and students’ education.Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/153630/1/jdd12027.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/153630/2/jdd12027_am.pd
Person-Centered Care: Opportunities and Challenges for Academic Dental Institutions and Programs
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Development of a quality improvement dental chart review training program
INTRODUCTION : Chart review is central to understanding adverse events (AEs) in medicine. In this article, we describe the process and results of educating chart reviewers assigned to evaluate dental AEs.
METHODS : We developed a Web-based training program, “Dental Patient Safety Training,” which uses both independent and consensus-based curricula, for identifying AEs recorded in electronic health records in the dental setting. Training included (1) didactic education, (2) skills training using videos and guided walkthroughs, (3) quizzes with feedback, and (4) hands-on learning exercises. In addition, novice reviewers were coached weekly during consensus review discussions. TeamExpert was composed of 2 experienced reviewers, and TeamNovice included 2 chart reviewers in training. McNemar test, interrater reliability, sensitivity, specificity, positive predictive value, and negative predictive value were calculated to compare accuracy rates on the identification of charts containing AEs at the start of training and 7 months after consensus building discussions between the 2 teams.
RESULTS : TeamNovice completed independent and consensus development training. Initial chart reviews were conducted on a shared set of charts (n = 51) followed by additional training including consensus building discussions. There was a marked improvement in overall percent agreement, prevalence and bias-adjusted κ correlation, and diagnostic measures (sensitivity, specificity, positive predictive value, and negative predictive value) of reviewed charts between both teams from the phase I training program to phase II consensus building.
CONCLUSIONS : This study detailed the process of training new chart reviewers and evaluating their performance. Our results suggest that standardized training and continuous coaching improves calibration between experts and trained chart reviewers.The National Institute of Dental and Craniofacial Research of the National Institutes of Health.https://journals.lww.com/journalpatientsafety/pages/default.aspx2023-08-01hj2023Dental Management Science
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Evaluating and Improving The Usability of A Mhealth Platform To Assess Postoperative Dental Pain
OBJECTIVES: The use of interactive mobile health (mHealth) applications to monitor patient-reported postoperative pain outcomes is an emerging area in dentistry that requires further exploration. This study aimed to evaluate and improve the usability of an existing mHealth application.
MATERIALS AND METHODS: The usability of the application was assessed iteratively using a 3-phase approach, including a rapid cognitive walkthrough (Phase I), lab-based usability testing (Phase II), and
RESULTS: The rapid cognitive walkthrough identified 23 potential issues that could negatively impact user experience, with the majority classified as system issues. The lab-based usability testing yielded 141 usability issues.; 43% encountered by patients and 57% by dentists. Usability problems encountered during pilot testing included undelivered messages due to mobile phone carrier and service-related issues, errors in patients\u27 phone number data entry, and problems in provider training.
DISCUSSION: Through collaborative and iterative work with the vendor, usability issues were addressed before launching a trial to assess its efficacy.
CONCLUSION: The usability of the mHealth application for postoperative dental pain was remarkably improved by the iterative analysis and interdisciplinary collaboration
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