PMID- 31140437
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20201001
IS  - 1929-0748 (Print)
IS  - 1929-0748 (Electronic)
IS  - 1929-0748 (Linking)
VI  - 8
IP  - 5
DP  - 2019 May 28
TI  - Impact of a Search Engine on Clinical Decisions Under Time and System 
      Effectiveness Constraints: Research Protocol.
PG  - e12803
LID - 10.2196/12803 [doi]
LID - e12803
AB  - BACKGROUND: Many clinical questions arise during patient encounters that 
      clinicians are unable to answer. An evidence-based medicine approach expects that 
      clinicians will seek and apply the best available evidence to answer clinical 
      questions. One commonly used source of such evidence is scientific literature, 
      such as that available through MEDLINE and PubMed. Clinicians report that 2 key 
      reasons why they do not use search systems to answer questions is that it takes 
      too much time and that they do not expect to find a definitive answer. So, the 
      question remains about how effectively scientific literature search systems 
      support time-pressured clinicians in making better clinical decisions. The 
      results of this study are important because they can help clinicians and health 
      care organizations to better assess their needs with respect to clinical decision 
      support (CDS) systems and evidence sources. The results and data captured will 
      contribute a significant data collection to inform the design of future CDS 
      systems to better meet the needs of time-pressured, practicing clinicians. 
      OBJECTIVE: The purpose of this study is to understand the impact of using a 
      scientific medical literature search system on clinical decision making. 
      Furthermore, to understand the impact of realistic time pressures on clinicians, 
      we vary the search time available to find clinical answers. Finally, we assess 
      the impact of improvements in search system effectiveness on the same clinical 
      decisions. METHODS: In this study, 96 practicing clinicians and final year 
      medical students are presented with 16 clinical questions which they must answer 
      without access to any external resource. The same questions are then represented 
      to the clinicians; however, in this part of the study, the clinicians can use a 
      scientific literature search engine to find evidence to support their answers. 
      The time pressures of practicing clinicians are simulated by limiting answer time 
      to one of 3, 6, or 9 min per question. The correct answer rate is reported both 
      before and after search to assess the impact of the search system and the time 
      constraint. In addition, 2 search systems that use the same user interface, but 
      which vary widely in their search effectiveness, are employed so that the impact 
      of changes in search system effectiveness on clinical decision making can also be 
      assessed. RESULTS: Recruiting began for the study in June 2018. As of the April 
      4, 2019, there were 69 participants enrolled. The study is expected to close by 
      May 30, 2019, with results to be published in July. CONCLUSIONS: All data 
      collected in this study will be made available at the University of Queensland's 
      UQ eSpace public data repository. INTERNATIONAL REGISTERED REPORT IDENTIFIER 
      (IRRID): DERR1-10.2196/12803.
CI  - (c)Anton van der Vegt, Guido Zuccon, Bevan Koopman, Anthony Deacon. Originally 
      published in JMIR Research Protocols (http://www.researchprotocols.org), 
      28.05.2019.
FAU - van der Vegt, Anton
AU  - van der Vegt A
AUID- ORCID: 0000-0001-5642-5188
AD  - School of Information Technology and Electrical Engineering, The University of 
      Queensland, St Lucia, Australia.
FAU - Zuccon, Guido
AU  - Zuccon G
AUID- ORCID: 0000-0003-0271-5563
AD  - School of Information Technology and Electrical Engineering, The University of 
      Queensland, St Lucia, Australia.
FAU - Koopman, Bevan
AU  - Koopman B
AUID- ORCID: 0000-0001-5577-3391
AD  - Australian eHealth Research Centre, The Commonwealth Scientific and Industrial 
      Research Organisation, Brisbane, Australia.
FAU - Deacon, Anthony
AU  - Deacon A
AUID- ORCID: 0000-0001-5051-4817
AD  - School of Medicine, University of Queensland, St Lucia, Australia.
LA  - eng
PT  - Journal Article
DEP - 20190528
PL  - Canada
TA  - JMIR Res Protoc
JT  - JMIR research protocols
JID - 101599504
PMC - PMC6658292
OTO - NOTNLM
OT  - clinical decision making
OT  - evidence-based medicine
OT  - information storage and retrieval
COIS- Conflicts of Interest: None declared.
EDAT- 2019/05/30 06:00
MHDA- 2019/05/30 06:01
PMCR- 2019/05/28
CRDT- 2019/05/30 06:00
PHST- 2018/11/13 00:00 [received]
PHST- 2019/04/12 00:00 [accepted]
PHST- 2019/04/11 00:00 [revised]
PHST- 2019/05/30 06:00 [entrez]
PHST- 2019/05/30 06:00 [pubmed]
PHST- 2019/05/30 06:01 [medline]
PHST- 2019/05/28 00:00 [pmc-release]
AID - v8i5e12803 [pii]
AID - 10.2196/12803 [doi]
PST - epublish
SO  - JMIR Res Protoc. 2019 May 28;8(5):e12803. doi: 10.2196/12803.