A PHP Error was encountered

Severity: Warning

Message: file_get_contents(https://...@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests

Filename: helpers/my_audit_helper.php

Line Number: 176

Backtrace:

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 1034
Function: getPubMedXML

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3152
Function: GetPubMedArticleOutput_2016

File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global

File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword

File: /var/www/html/index.php
Line: 316
Function: require_once

Defining and measuring physicians' responses to clinical reminders. | LitMetric

AI Article Synopsis

  • Decision-support systems like rule-based clinical reminders are increasingly used in medicine, but physicians often do not utilize them effectively.
  • The study identifies four potential responses from physicians to these reminders: Compliance, Reliance, Spillover, and Reactance, and offers statistical methods to measure these reactions in practice.
  • Evidence showed that while physicians demonstrated Compliance with reminders, which suggests they found them helpful, they did not show Reliance, indicating a distinction in how trust is formed with decision-support systems.

Article 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.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.jbi.2008.10.001DOI Listing

Publication Analysis

Top Keywords

clinical reminders
12
physicians' responses
8
responses clinical
8
decision-support systems
8
responses
6
clinical
5
reminders
5
defining measuring
4
measuring physicians'
4
reminders decision-support
4

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!