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July 26, 2026Journal of Health Population and NutritionOpen Access

Localized NASSS-based framework achieves ~0.91 content validity for AI-driven NCD prevention in Iran.

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Why the study?

Integrating AI into health systems for NCD prevention requires understanding local cultural, organizational, and structural contexts, necessitating a localized framework for Iran.

Population

34 experts for interviews and 13 experts for focus groups in health, technology, ethics, and policy

Design

Exploratory-sequential qualitative study using thematic analysis, modified Delphi method, and focus groups

Key result

A localized NASSS-based framework comprising five major dimensions and 18 operational components was developed and validated (content validity index 0.91) for AI-driven NCD prevention in Iran.

Authors

MHMarziye HadianARAziz RezapourAHAsgar Aghaei Hashjin

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Overview

AI may aid NCD prevention in Iran; hypothesis-generating and requires prospective validation before adoption.

Key Points

  • This study aims to create and validate a localized framework for using AI to prevent non-communicable diseases (NCDs) in Iran's health system.
  • Exploratory-sequential qualitative design employed
  • Data collected from 34 semi-structured interviews analyzed using thematic analysis
  • Framework refining through modified Delphi method and two focus group discussions with 13 experts
  • Final framework incorporated five major dimensions and 18 operational components
  • Achieved a high overall content validity index of 0.91
  • Highlighting key requirements including algorithmic transparency, data standardization, and digital health literacy

Structured PICO

P
Population
47 experts in health, technology, ethics, and policy participated in interviews, Delphi method, and focus groups to develop an AI framework for NCD prevention in Iran.
E
Exposure
Development of a NASSS-based framework for AI-driven prevention of non-communicable diseases (NCDs)
O
Outcome
Localized framework for the application of AI in NCD prevention

This study provides a locally validated, NASSS-based framework for the ethical and sustainable integration of AI into non-communicable disease prevention in Iran.

Cite This Study

Hadian et al. (2026) studied Non-Communicable Diseases (n=47). NASSS-based framework for AI-driven prevention of NCDs was evaluated on Development and validation of a localized framework for AI application in NCD prevention. A localized NASSS-based framework comprising five major dimensions and 18 operational components was developed and validated (content validity index 0.91) for AI-driven NCD prevention in Iran.

synapsesocial.com/papers/6a65a422d3aea3239cd76e87https://doi.org/10.1186/s41043-026-01379-7
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