Literature DB >> 25957368

Clinical reminders designed and implemented using cognitive and organizational science principles decrease reminder fatigue.

Lee A Green1, Donald Nease2, Michael S Klinkman2.   

Abstract

BACKGROUND: Response rates to point-of-care clinical reminders typically decrease over time. We hypothesized that this "reminder fatigue" could be prevented by (1) applying sound human factors engineering and cognitive science principles in designing the reminder system, and (2) implementing the reminders with rigorous attention to organizational science principles.
METHODS: This was a retrospective cohort enumeration from January 1, 2006, through July 31, 2012, in a set of 5 academically affiliated family medicine practices. We modeled the odds ratio of clinician action in response to a reminder according to the number of reminders issued during the encounter, the number of problems on the patient's problem list, patient age, and time (number of months since launch) using logistic regression with clustering by encounter.
RESULTS: There were issued 988,149 reminders at 453,537 encounters during the sampling frame. Action was taken in response to 60.1% of reminders, and discussion or consideration was documented in another 26.8%. The odds ratios for action in response to reminders over time, by number of prompts during the encounter, and by number of problems were 1.01, 1.18, and 1.02, respectively. Key design features included issuing reminders only when a service was due, allowing clinicians to attend to reminders when doing so fit their workflow (vs forcing attention at a specific time), keeping reminders very short and simple (action item only, no explicative material), and a team meeting and buy-in process before each new reminder was implemented.
CONCLUSIONS: Reminder fatigue over time, with increasing numbers of reminders and with increasing complexity of patients, is not inevitable. A reminder system designed and implemented in accordance with the principles of cognitive science and human factors engineering can prevent reminder fatigue. © Copyright 2015 by the American Board of Family Medicine.

Entities:  

Keywords:  Clinical Decision Support Systems; Primary Health Care; Quality Improvement; Reminder Systems; User–Computer Interface

Mesh:

Year:  2015        PMID: 25957368     DOI: 10.3122/jabfm.2015.03.140243

Source DB:  PubMed          Journal:  J Am Board Fam Med        ISSN: 1557-2625            Impact factor:   2.657


  13 in total

1.  Medication safety alert fatigue may be reduced via interaction design and clinical role tailoring: a systematic review.

Authors:  Mustafa I Hussain; Tera L Reynolds; Kai Zheng
Journal:  J Am Med Inform Assoc       Date:  2019-10-01       Impact factor: 4.497

2.  Predictive modeling of housing instability and homelessness in the Veterans Health Administration.

Authors:  Thomas Byrne; Ann Elizabeth Montgomery; Jamison D Fargo
Journal:  Health Serv Res       Date:  2018-09-21       Impact factor: 3.402

Review 3.  Impacts of Operational Failures on Primary Care Physicians' Work: A Critical Interpretive Synthesis of the Literature.

Authors:  Carol Sinnott; Alexandros Georgiadis; John Park; Mary Dixon-Woods
Journal:  Ann Fam Med       Date:  2020-03       Impact factor: 5.166

4.  Electronic health record innovations for healthier patients and happier doctors.

Authors:  Alex H Krist
Journal:  J Am Board Fam Med       Date:  2015 May-Jun       Impact factor: 2.657

5.  Electronic medical record alert increases HIV screening rates: the Foch hospital pilot POP-up project.

Authors:  Alexandre Vallée; Dimi Sveltlane; Julie Trichereau; Stéphane Neveu; Erwan Fourn; Catherine Majerholc; Philippe Lesprit; Laurence Mazaux; Seheno Harijaona Henintsoa; Grazyna Matejczuk; Marc Vasse; David Zucman
Journal:  BMC Health Serv Res       Date:  2022-06-16       Impact factor: 2.908

6.  Can Automated Alerts in the Electronic Health Record Encourage Referrals for Genetic Counseling and Testing Among Patients at High Risk for Hereditary Cancer Syndromes?

Authors:  Kristin K Zorn; Melinda E Simonson; Jennifer L Faulkner; Cyndee L Carr; Joshua Acuna; Tiffany L Hall; John F Jenkins; Karen L Drummond; Geoffrey M Curran
Journal:  JCO Oncol Pract       Date:  2022-03-22

7.  How the presentation of patient information and decision-support advisories influences opioid prescribing behavior: A simulation study.

Authors:  Mustafa I Hussain; Ariana M Nelson; Brent G Yeung; Lauren Sukumar; Kai Zheng
Journal:  J Am Med Inform Assoc       Date:  2020-04-01       Impact factor: 4.497

8.  Encouraging Patient Portal Use in the Patient-Centered Medical Home: Three Stakeholder Perspectives.

Authors:  Gemmae M Fix; Timothy P Hogan; Daniel J Amante; D Keith McInnes; Kim M Nazi; Steven R Simon
Journal:  J Med Internet Res       Date:  2016-11-22       Impact factor: 5.428

9.  Prevalence of pain reports in pediatric primary care and association with demographics, body mass index, and exam findings: a cross-sectional study.

Authors:  Randall W Grout; Rachel Thompson-Fleming; Aaron E Carroll; Stephen M Downs
Journal:  BMC Pediatr       Date:  2018-11-21       Impact factor: 2.125

10.  Safety and Usability Guidelines of Clinical Information Systems Integrating Clinical Workflow: A Systematic Review.

Authors:  Yura Lee; Min-Young Jung; Gee Won Shin; Sangwoo Bahn; Taezoon Park; Insook Cho; Jae-Ho Lee
Journal:  Healthc Inform Res       Date:  2018-07-31
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.