Literature DB >> 19000935

Defining and measuring physicians' responses to clinical reminders.

Geva Vashitz1, Joachim Meyer, Yisrael Parmet, Roni Peleg, Dan Goldfarb, Avi Porath, Harel Gilutz.   

Abstract

Decision-support systems, and specifically rule-based clinical reminders, are becoming common in medical practice. Despite their potential to improve clinical outcomes, physicians do not always use information from these systems. Concepts from the cognitive engineering literature on users' responses to warning systems may help to define physicians' responses to reminders. Based on this literature, we suggest an exhaustive set of possible responses to clinical reminders, consisting of four responses named "Compliance", "Reliance", "Spillover" and "Reactance". We suggest statistical measures to estimate these responses and empirically demonstrate them on data from a large-scale clinical reminder system for secondary prevention of cardiovascular diseases. There was evidence for Compliance, probably since the physicians found the reminders informative, but not for Reliance, in line with the notion that Compliance and Reliance are two distinct types of trust in information from decision-support systems. Our research supports the notion that CDSS can promote closing the treatment gap and improve physicians' adherence to guidelines.

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Year:  2008        PMID: 19000935     DOI: 10.1016/j.jbi.2008.10.001

Source DB:  PubMed          Journal:  J Biomed Inform        ISSN: 1532-0464            Impact factor:   6.317


  9 in total

1.  Development and validation of a survey instrument for assessing prescribers' perception of computerized drug-drug interaction alerts.

Authors:  Kai Zheng; Kathleen Fear; Bruce W Chaffee; Christopher R Zimmerman; Edward M Karls; Justin D Gatwood; James G Stevenson; Mark D Pearlman
Journal:  J Am Med Inform Assoc       Date:  2011-04-12       Impact factor: 4.497

Review 2.  Utilizing information technologies for lifelong monitoring in diabetes patients.

Authors:  Davide Capozzi; Giordano Lanzola
Journal:  J Diabetes Sci Technol       Date:  2011-01-01

3.  Combined survival analysis of cardiac patients by a Cox PH model and a Markov chain.

Authors:  Michal Shauly; Gad Rabinowitz; Harel Gilutz; Yisrael Parmet
Journal:  Lifetime Data Anal       Date:  2011-07-07       Impact factor: 1.588

4.  Use of RSS feeds for the implementation of clinical reminder.

Authors:  Wen-Chou Chi; Chia-Hsien Wen; Chih-Yu Lin; Sek-Kwong Poon; Shih-Che Huang
Journal:  J Med Syst       Date:  2011-03-12       Impact factor: 4.460

5.  Impact of clinical reminder redesign on physicians' priority decisions.

Authors:  Sze-Jung Wu; Mark R Lehto; Yuehwern Yih; Jason J Saleem; B N Doebbeling
Journal:  Appl Clin Inform       Date:  2010-12-29       Impact factor: 2.342

6.  Role of physicians' reactance in e-iatrogenesis: a case study with ASTI guiding mode on the management of hypertension.

Authors:  B Séroussi; H Falcoff; D Sauquet; J Julien; J Bouaud
Journal:  AMIA Annu Symp Proc       Date:  2010-11-13

7.  A Compliance-Reactance Framework for Evaluating Human-Robot Interaction.

Authors:  Annika Boos; Olivia Herzog; Jakob Reinhardt; Klaus Bengler; Markus Zimmermann
Journal:  Front Robot AI       Date:  2022-05-24

Review 8.  Reasons For Physicians Not Adopting Clinical Decision Support Systems: Critical Analysis.

Authors:  Saif Khairat; David Marc; William Crosby; Ali Al Sanousi
Journal:  JMIR Med Inform       Date:  2018-04-18

9.  Anesthesiology Control Tower-Feasibility Assessment to Support Translation (ACTFAST): Mixed-Methods Study of a Novel Telemedicine-Based Support System for the Operating Room.

Authors:  Teresa Murray-Torres; Aparna Casarella; Mara Bollini; Frances Wallace; Michael S Avidan; Mary C Politi
Journal:  JMIR Hum Factors       Date:  2019-04-23
  9 in total

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