PMID- 36384446
OWN - NLM
STAT- MEDLINE
DCOM- 20221121
LR  - 20221204
IS  - 1471-2288 (Electronic)
IS  - 1471-2288 (Linking)
VI  - 22
IP  - 1
DP  - 2022 Nov 16
TI  - Prioritizing population-based nutrition-related interventions to prevent and 
      control hypertension in Iran: a multi-criteria decision-making approach.
PG  - 293
LID - 10.1186/s12874-022-01761-z [doi]
LID - 293
AB  - BACKGROUND: Numerous nutrition-related policy options and strategies have been 
      proposed to tackle hypertension and other risk factors of non-communicable 
      diseases (NCDs). In this study, we developed a comparative analysis using a 
      multi-criteria decision-making (MCDM) model for prioritizing population-based 
      nutrition-related interventions to prevent and control hypertension in Iran. 
      METHODS: We employed a combination of Delphi technique and Analytic Hierarchy 
      Process (AHP) method as the methodological tool to prioritize decision 
      alternatives using multiple criteria. The prominent assessment criteria and 
      intervention strategies were derived using a literature review, focus group 
      discussion (n = 11), and a 2-round modified Delphi technique with specialists and 
      experts involved in different stages of health policy-making (round 1: n = 50, 
      round 2: n = 46). Then, the AHP was used to determine the weightage of the 
      selected interventions and develop the decision-making model. The sensitivity 
      analysis was performed to test the stability of the priority ranking. RESULTS: 
      Nine alternative interventions were included in the final ranking based on eight 
      assessment criteria. According to the results, the most priority interventions to 
      prevent and control hypertension included reformulation of food products to 
      contain less salt and changing the target levels of salt in foods and meals, 
      providing low-sodium salt substitutes, and reducing salt intake through the 
      implementation of front-of-package labeling (FOPL). The results of the 
      sensitivity analysis and a comparison analysis suggested that the assessment 
      model performed in this study had an appropriate level of robustness in selecting 
      the best option among the proposed alternatives. CONCLUSION: MCDM techniques 
      offer a potentially valuable approach to rationally structuring the problem, 
      along with the opportunity to make explicit the judgments used as part of the 
      decision-making model. The findings of this study provide a preliminary evidence 
      base to guide future decisions and reforms aiming to improve appropriate 
      population-based interventions for tackling hypertension and other risk factors 
      of NCDs.
CI  - (c) 2022. The Author(s).
FAU - Aliasgharzadeh, Soghra
AU  - Aliasgharzadeh S
AD  - Student Research Committee, School of Nutrition and Food Sciences, Tabriz 
      University of Medical Sciences, Tabriz, Iran.
FAU - Ebrahimi-Mameghani, Mehrangiz
AU  - Ebrahimi-Mameghani M
AD  - Social Determinant of Health Research Center, School of Nutrition and Food 
      Sciences, Tabriz University of Medical Sciences, Tabriz, Iran.
FAU - Mahdavi, Reza
AU  - Mahdavi R
AD  - Nutrition Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
FAU - Karimzadeh, Hossein
AU  - Karimzadeh H
AD  - Department of rural planning, Faculty of Planning and Environmental Sciences, 
      University of Tabriz, Tabriz, Iran.
FAU - Nikniaz, Leila
AU  - Nikniaz L
AD  - Tabriz Health Services Management Research Center, Tabriz University of Medical 
      Sciences, Tabriz, Iran.
FAU - Tabrizi, Jafar Sadegh
AU  - Tabrizi JS
AD  - Tabriz Health Services Management Research Center, Tabriz University of Medical 
      Sciences, Tabriz, Iran. js.tabrizi@gmail.com.
FAU - Pourali, Fathollah
AU  - Pourali F
AD  - Community Nutrition Department of Public Health Deputy, Tabriz University of 
      Medical Sciences, Tabriz, Iran.
LA  - eng
PT  - Journal Article
PT  - Research Support, Non-U.S. Gov't
PT  - Review
DEP - 20221116
PL  - England
TA  - BMC Med Res Methodol
JT  - BMC medical research methodology
JID - 100968545
SB  - IM
MH  - Humans
MH  - Iran
MH  - *Policy Making
MH  - Delivery of Health Care
MH  - *Hypertension/prevention & control
PMC - PMC9666957
OTO - NOTNLM
OT  - Analytic hierarchy process
OT  - Delphi technique
OT  - Hypertension
OT  - Multi-criteria decision-making
OT  - Non-communicable diseases
OT  - Nutrition-related intervention
COIS- The authors declare that they have no competing interests.
EDAT- 2022/11/18 06:00
MHDA- 2022/11/22 06:00
PMCR- 2022/11/16
CRDT- 2022/11/17 09:41
PHST- 2022/06/16 00:00 [received]
PHST- 2022/10/19 00:00 [accepted]
PHST- 2022/11/17 09:41 [entrez]
PHST- 2022/11/18 06:00 [pubmed]
PHST- 2022/11/22 06:00 [medline]
PHST- 2022/11/16 00:00 [pmc-release]
AID - 10.1186/s12874-022-01761-z [pii]
AID - 1761 [pii]
AID - 10.1186/s12874-022-01761-z [doi]
PST - epublish
SO  - BMC Med Res Methodol. 2022 Nov 16;22(1):293. doi: 10.1186/s12874-022-01761-z.