PMID- 38300703
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20240218
IS  - 2291-9694 (Print)
IS  - 2291-9694 (Electronic)
VI  - 12
DP  - 2024 Feb 1
TI  - Multicriteria Decision-Making in Diabetes Management and Decision Support: 
      Systematic Review.
PG  - e47701
LID - 10.2196/47701 [doi]
LID - e47701
AB  - BACKGROUND: Diabetes mellitus prevalence is increasing among adults and children 
      around the world. Diabetes care is complex; examining the diet, type of 
      medication, diabetes recognition, and willingness to use self-management tools 
      are just a few of the challenges faced by diabetes clinicians who should make 
      decisions about them. Making the appropriate decisions will reduce the cost of 
      treatment, decrease the mortality rate of diabetes, and improve the life quality 
      of patients with diabetes. Effective decision-making is within the realm of 
      multicriteria decision-making (MCDM) techniques. OBJECTIVE: The central objective 
      of this study is to evaluate the effectiveness and applicability of MCDM methods 
      and then introduce a novel categorization framework for their use in this field. 
      METHODS: The literature search was focused on publications from 2003 to 2023. 
      Finally, by applying the PRISMA (Preferred Reporting Items for Systematic Reviews 
      and Meta-Analyses) method, 63 articles were selected and examined. RESULTS: The 
      findings reveal that the use of MCDM methods in diabetes research can be 
      categorized into 6 distinct groups: the selection of diabetes medications (19 
      publications), diabetes diagnosis (12 publications), meal recommendations (8 
      publications), diabetes management (14 publications), diabetes complication (7 
      publications), and estimation of diabetes prevalence (3 publications). 
      CONCLUSIONS: Our review showed a significant portion of the MCDM literature on 
      diabetes. The research highlights the benefits of using MCDM techniques, which 
      are practical and effective for a variety of diabetes challenges.
CI  - (c)Tahmineh Aldaghi, Jan Muzik. Originally published in JMIR Medical Informatics 
      (https://medinform.jmir.org), 01.02.2024.
FAU - Aldaghi, Tahmineh
AU  - Aldaghi T
AUID- ORCID: 0000-0002-7949-4984
AD  - Spin-off Companies and Research Results Commercialization Center, First Faculty 
      of Medicine, Charles University, Prague, Czech Republic.
FAU - Muzik, Jan
AU  - Muzik J
AUID- ORCID: 0000-0002-4851-7899
AD  - Department of Information and Communication Technologies in Medicine, Faculty of 
      Biomedical Engineering, Czech Technical University, Prague, Czech Republic.
LA  - eng
PT  - Journal Article
PT  - Review
DEP - 20240201
PL  - Canada
TA  - JMIR Med Inform
JT  - JMIR medical informatics
JID - 101645109
PMC - PMC10870205
OTO - NOTNLM
OT  - analytical hierarchy process
OT  - blood sugar
OT  - decision making
OT  - decision support
OT  - diabetes
OT  - diabetes management
OT  - diabetes recognition
OT  - diabetic
OT  - digital health tool
OT  - glucose
OT  - glucose management
OT  - multi-criteria decision making
OT  - review methodology
OT  - self-management
OT  - systematic review
OT  - technique for order of preference by similarity to ideal solution
COIS- Conflicts of Interest: None declared.
EDAT- 2024/02/01 12:42
MHDA- 2024/02/01 12:43
PMCR- 2024/02/01
CRDT- 2024/02/01 11:54
PHST- 2023/03/29 00:00 [received]
PHST- 2023/12/11 00:00 [accepted]
PHST- 2023/10/24 00:00 [revised]
PHST- 2024/02/01 12:43 [medline]
PHST- 2024/02/01 12:42 [pubmed]
PHST- 2024/02/01 11:54 [entrez]
PHST- 2024/02/01 00:00 [pmc-release]
AID - v12i1e47701 [pii]
AID - 10.2196/47701 [doi]
PST - epublish
SO  - JMIR Med Inform. 2024 Feb 1;12:e47701. doi: 10.2196/47701.