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. 2026 Feb 13;13:1765596. doi: 10.3389/fnut.2026.1765596

Table 2.

Evidence table.

Source Suggested solution Key challenges Key findings
Rowe (6) Premix reconciliation calculation Current monitoring systems Effective data collection
Asirvatham et al. (55) New nutrition-sensitive policies Old policies Improved policy coordination and collaboration
Mildon et al. (18) Community-based fortification Nationwide initiatives Improved reach of fortification initiatives
Vasta et al. (56) Digital tools and technologies Non-digitized tools Improved program decision-making and nutrition impact
Tarini et al. (57) Fortification International community guidance, zinc deficiency assessment, regional fortification standards, and lack of evidence Improved zinc intake
Olson et al. (49) Improved private-public partnerships, key support in advocacy, management, implementation, capacity building, and regulatory monitoring Current fortification programs Improved fortification implementation
Benson et al. (58) Agriculture and food security policies Strong performance on policy processes 2017/2018 Improved processes from improved implementation
Rohner et al. (59) Collection and usage of fortification program data in decision-making and program improvement Available coverage data from salt fortification, possibly from inclusion in MICS and DHS Improved implementation of LSFF
Makhumula et al. (60) Model of fortification legislation increased nutrient uptake, easy monitoring and evaluation, corrective action, and assigns roles and responsibilities
Meerman (61) incorporating nutrition in national policies Food security equals nutrition security Cross-sectoral collaboration, mainstreaming the nutrition agenda
Storhaug et al. (62) Nutritional interventions Addressing key evidence gaps in the evaluation of national-level policies evaluation
Bell et al. (54) Revising guidelines on regulations Codex/RSA Harmonized regulation eases fortification implementation
Wessells et al. (63) Large-scale food fortification (zinc) Current LSFF programs Zinc inclusion in LSFF, boosting current zinc fortification levels
Babu et al. (38) Local leadership, coordinating power in the policy hierarchy Process triggered by external events, external funding, no concrete strategy for biofortification, poor physical infrastructure and monitoring for LSFF Better implementation
Tang et al. (37) Mathematical modeling framework Current tracking methods LSFF is beneficial for mostly urban populations, with low consumption of some vehicles
Della Lucia et al. (64) Correct choice of the fortifying micronutrients, Establishment of fortification levels and the selection of a suitable vehicle Effective fortification
Mejia et al. (65) National micronutrient fortification commissions or alliances aimed to foster inter-program coordination No provisions in the existing regulations require coordination mechanisms among interventions A comprehensive regulatory framework for coexisting micronutrient interventions
Reme (66) cross-sectoral coordination, nutrition awareness, continued government support, capacity-related issues, lack of institutional home and funding
Hess et al. (67) FRAT Recommended sampling reconsidered, guidelines revised to clarify important aspects of fieldworker training, implementation, data analysis and interpretation and reporting of the results. National food fortification planning
Marks et al. (5) Checklist for fortification policy and programs Roles and responsibilities between agencies, the cost of regulating fortification, and enforcement strategies are often lacking. Improved regulations and implementation
Bell et al. (47) Dietary diversification Compulsory fortification is excessive, unproductive, and likely harmful to human health Eliminates the underlying causes of malnutrition, unlike mandatory fortification
Mkambula et al. (11) New LSFF programs, Implementation research, advocacy, and new vehicles Current LSFF programs
Mkambula et al. (68) Fortification and biofortification needs, constraints, and opportunities of the population in terms of consumption patterns, supply chains, and market structures; (2) easy-to-implement, cost-effective and real-time monitoring of program delivery, coverage, cost, and nutrient intake and a rigorous evidence-based approach, including lessons learnt, to help inform policy
Han et al. (69) The agronomic, economic, and administrative capability of the target regions regarding fortification methods and vehicles to maximize effectiveness. Strategies to ensure the producers’ and consumers’ adoption to enhance the uptake rate, evaluate outcomes for economic metrics rather than focusing solely on before-and-after comparison to avoid biased assessment.
Lalani et al. (70) Business models and approach Current approach
Tool used Key domains Risk of bias judgment (Low/Moderate/High) Notes/Justification
ROBINS-I Confounding | Participant selection | Intervention classification | Deviations from interventions | Missing data | Measurement of outcomes | Selective reporting
CASP (or JBI) Clear research aim | Appropriate methodology | Rigorous data collection | Researcher bias minimized | Robust analysis | Credible findings
AACODS Authority | Accuracy | Coverage | Objectivity | Date | Significance
CASP Moderate Researcher bias minimisation not clear
CASP Moderate Ethical consideration, not clear
CASP Low
CASP Low
CASP Low Rigorous participant selection, data collection and analysis
CASP systematic High Paper selection not so clear, research bias minimisation not clear
AACODS High No bibliography, no peer review
CASP systematic Low Robust data collection and analysis, risk of bias, measurement if results
CASP Moderate Paper selection not so clear
AACODS High Date not clear, no peer review
CASP systematic Low Researcher bias minimisation clear
CASP Moderate Research methodology not clear
CASP Moderate Research methodology not clear
AACODS Low
CASP Moderate Measurement errors
CASP Moderate Paper selection not clear, risk of bias minimisation not clear
CASP Moderate Risk of bias minimisation not clear
AACODS Low
CASP Low Rigorous participant selection, data collection and analysis
CASP Low
CASP High Aim not clear, Research methodology not clear
CASP Low
AACODS Low
CASP Low
CASP Low