- Author
-
S.K. Medlock
- Title
- Improving care of vulnerable elders through computerized clinical decision support
- Supervisors
- Co-supervisors
-
S. Eslami
- Award date
- 9 December 2015
- Number of pages
- 164
- ISBN
- 9789082452105
- Document type
- PhD thesis
- Faculty
- Faculty of Medicine (AMC-UvA)
- Abstract
-
This thesis contains the groundwork for the Improving Care of Vulnerable Elders (ICOVE) project, which aims to improve the quality of care for older patients by providing computerized clinical decision support to both clinicians and patients. To this end, we present a general model of information flow in decision support systems that can be used to teach, review, and report the factors that may influence the success of systems in supporting decisions and improving care. We found that clinicians value systems that help them manage their responsibilities and avoid errors, and are concerned about interruption. We addressed the quality of evidence underlying the system by reviewing the coprescription of proton pump inhibitors with NSAIDs, and found that although the evidence is as yet insufficient, it points towards support of the recommended practice of coprescription. To transfer this knowledge to a clinical decision support system, we developed the LERM method for formalizing clinical rules. For informing older patients, we found that the internet appears to be a preferred channel for health information, although further research is needed on how to reach older patients who do not actively seek health information. SnelleCor offers a case study demonstrating that decision support systems can be both well-liked and effective, and despite evidence from recent reviews, interruptive systems are not the only recipe for success. We hope that the studies in this thesis will help guide the development of more useful and usable systems for patients and their clinicians.
- Note
- Chapter 2 has been published as: Medlock S, Wyatt JC, Patel VL, Shortliffe EH, Abu-Hanna A. Modeling information flows in
clinical decision support: key insights for enhancing system effectiveness. J Am Med Inform Assoc. 2016 Sep;23(5):1001-6.
doi: 10.1093/jamia/ocv177. Reproduced in accordance with journal policy.
Chapter 3 has been published as: Medlock S, Eslami S, Askari M, Arts DL, van de Glind EM, Brouwer HJ, van Weert HC, de Rooij SE, Abu-Hanna A. For which clinical rules do doctors want decision support, and why? A survey of Dutch general practitioners. Health Informatics J. 2017 Nov 1:1460458217740407. doi: 10.1177/1460458217740407. Reproduced in accordance with journal policy.
Chapter 7 has been published as: Medlock S, Parlevliet JL, Sent D, Eslami S, Askari M, Arts DL, Hoekstra JB, de Rooij SE, Abu-Hanna A. An email-based intervention to improve the number and timeliness of letters sent from the hospital outpatient clinic to the general practitioner: A pair-randomized controlled trial. PLoS One. 2017 Oct 23;12(10):e0185812. doi: 10.1371/journal.pone.0185812. Reproduced in accordance with journal policy. - Persistent Identifier
- https://hdl.handle.net/11245/1.494990
- Downloads
-
Thesis (complete)
Front matter
1. General Introduction
2. Modeling information flows in clinical decision-support systems: A first step towards understanding CDSS effectiveness
3. For which clinical rules do doctors want decision support, and why? A survey of Dutch general practitioners
4. Co-prescription of gastroprotective agents and their efficacy in elderly patients taking nonsteroidal anti-inflammatory drugs: a systematic review of observational studies
5. LERM (Logical Elements Rule Method): a method for assessing and formalizing clinical rules for decision support
6. Health information-seeking behavior of seniors who use the Internet: a survey
7. Improving the number and timeliness of letters sent from the hospital out-patient clinic to the general practitioner: a pair-randomized controlled trial
8. General discussion
Summary / Samenvatting
Back matter
Stellingen
Disclaimer/Complaints regulations
If you believe that digital publication of certain material infringes any of your rights or (privacy) interests, please let the Library know, stating your reasons. In case of a legitimate complaint, the Library will make the material inaccessible and/or remove it from the website. Please Ask the Library, or send a letter to: Library of the University of Amsterdam, Secretariat, Singel 425, 1012 WP Amsterdam, The Netherlands. You will be contacted as soon as possible.