Document Type : Review Article
Authors
1
Health Information Technology Research Center, Isfahan University of Medical Sciences, Isfahan, Iran
2
Tobacco Prevention and Control Research Center, National Research Institute of Tuberculosis and Lung Diseases (NRITLD), Shahid Beheshti University of Medical Sciences, Tehran, Iran
3
Chronic Respiratory Diseases Research Center, National Research Institute of Tuberculosis and Lung Diseases (NRITLD), Shahid Beheshti University of Medical Sciences, Tehran, Iran
Abstract
Background: Healthcare systems increasingly adopt Electronic Health Records (EHRs) to support tobacco cessation and improve outcomes. Yet no integrated EHR system exists for this purpose in developing countries such as Iran. Identifying core data elements for documenting and delivering cessation care is therefore essential. Therefore, this study aimed to identify and extract key smoking cessation–related data elements to design EHR systems for smoking cessation clinics.
Materials and Methods: This systematic review was conducted in 2025 across multiple electronic databases, including PubMed, Scopus, and Web of Science. We also searched IEEE Xplore for technical and engineering perspectives on EHR design. Keywords combined smoking cessation and electronic health record with relevant synonyms. A total of 2,608 articles were retrieved. After the first phase of screening, 143 articles remained, followed by 25 articles in the second phase. Ultimately, 8 articles met the inclusion criteria.
Results: The extracted data elements were classified into clinical and demographic variables. Clinical variables such as smoking status, number of cigarettes smoked per day, smoking history and demographic information like age, education, annual household income and other variables. Finally, these elements were presented based on the 5A model components to better classify the smoking cessation process (Ask, Advise, Assess, Assist, and Arrange).
Conclusion: This review highlights the integration of smoking cessation data elements into EHRs as a key strategy to improve care quality, quit rates, and evidence-based intervention delivery. Employing the 5A framework within EHRs ensures systematic documentation of tobacco use, readiness assessment, interventions, and follow-up.
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