PMID- 29083251
OWN - NLM
STAT- MEDLINE
DCOM- 20190506
LR  - 20240314
IS  - 1552-681X (Electronic)
IS  - 0272-989X (Print)
IS  - 0272-989X (Linking)
VI  - 38
IP  - 4
DP  - 2018 May
TI  - The Feasibility of Sophisticated Multicriteria Support for Clinical Decisions.
PG  - 465-475
LID - 10.1177/0272989X17736769 [doi]
AB  - BACKGROUND: Multicriteria decision-making (MCDM) methods are well-suited to serve 
      as the foundation for clinical decision support systems. To do so, however, they 
      need to be appropriate for use in busy clinical settings. We compared 
      decision-making processes and outcomes of patient-level analyses done with a 
      range of multicriteria methods that vary in ease of use and intensity of decision 
      support, 2 factors that could affect their ease of implementation into practice. 
      METHODS: We conducted a series of Internet surveys to compare the effects of 5 
      multicriteria methods that differ in user interface and required user input 
      format on decisions regarding selection of a preferred method for lowering the 
      risk of cardiovascular disease. The study sample consisted of members of an 
      online Internet panel maintained by Fluidsurveys, an Internet survey company. 
      Study outcomes were changes in preferred option, decision confidence, preparation 
      for decision making, the Values Clarification and Decisional Uncertainty 
      subscales of the Decisional Conflict Scale, and method ease of use. RESULTS: The 
      frequency of changes in the preferred option ranged from 9% to 38%, P < 0.001, 
      and rose progressively as the level of decision support provided by the MCDM 
      method increased. The proportion of respondents who rated the method as easy 
      ranged from 57% to 79% and differed significantly among MCDM methods, P = 0.003, 
      but was not consistently related to intensity of decision support or ease of use. 
      CONCLUSION: Decision support based on MCDM methods is not necessarily limited by 
      decreases in ease of use. This result suggests that it is possible to develop 
      decision support tools using sophisticated multicriteria techniques suitable for 
      use in routine clinical care settings.
FAU - Dolan, James G
AU  - Dolan JG
AD  - Department of Public Health Sciences, University of Rochester, Rochester, NY.
FAU - Veazie, Peter J
AU  - Veazie PJ
AD  - Department of Public Health Sciences, University of Rochester, Rochester, NY.
LA  - eng
GR  - K24 HL093488/HL/NHLBI NIH HHS/United States
PT  - Journal Article
PT  - Research Support, N.I.H., Extramural
DEP - 20171030
PL  - United States
TA  - Med Decis Making
JT  - Medical decision making : an international journal of the Society for Medical 
      Decision Making
JID - 8109073
SB  - IM
MH  - Cardiovascular Diseases/*prevention & control
MH  - Consumer Behavior
MH  - Cross-Sectional Studies
MH  - Decision Support Systems, Clinical/*organization & administration
MH  - Decision Support Techniques
MH  - Female
MH  - Humans
MH  - Male
MH  - Middle Aged
MH  - Software Design
MH  - Uncertainty
MH  - User-Computer Interface
PMC - PMC5878967
MID - NIHMS908380
OTO - NOTNLM
OT  - cardiovascular disease prevention
OT  - decision making
OT  - decision making techniques
OT  - decision support
OT  - multicriteria decision making
OT  - patient-centered care
OT  - shared decision making
COIS- The authors have no conflicts of interest to report.
EDAT- 2017/10/31 06:00
MHDA- 2019/05/07 06:00
PMCR- 2019/05/01
CRDT- 2017/10/31 06:00
PHST- 2017/10/31 06:00 [pubmed]
PHST- 2019/05/07 06:00 [medline]
PHST- 2017/10/31 06:00 [entrez]
PHST- 2019/05/01 00:00 [pmc-release]
AID - 10.1177/0272989X17736769 [doi]
PST - ppublish
SO  - Med Decis Making. 2018 May;38(4):465-475. doi: 10.1177/0272989X17736769. Epub 
      2017 Oct 30.