Conceptual model design of a virtual adult respiratory assessment system during the Covid-۱۹ pandemic: Necessary measures to set up it in Iran

سال انتشار: 1401
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 178

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شناسه ملی سند علمی:

HUMS04_137

تاریخ نمایه سازی: 3 خرداد 1402

چکیده مقاله:

Introduction and objective: Health care assessments are traditionally conducted during face-to-face clinical interactions. Social distancing requirements introduced to prevent community transmission of Covid-۱۹ have led to the wider use of virtual care methods. This study presented a conceptual model for the extensive evaluation of remote respiratory for adult patients with acute and chronic respiratory conditions during the Covid-۱۹ pandemic.Methods: This study was conducted in Kerman from May to July ۲۰۲۲ by exploratory method. Semi-structured face-to-face interviews were conducted with ۶ infectious diseases specialists and ۵ general physicians involved in the care of Covid-۱۹ patients. All interviews were recorded and transcribed verbatim. Based on thematic analysis, data were coded and analyzed using Atlas.ti۸ software.Results: The analysis of the interviews showed that in addition to the patient's informational needs, technical-infrastructural requirements should also be available for remote respiratory assessment. The information requirements of patients are collected in three stages: quick assessment, history review, complete respiratory assessment. The technical-infrastructural requirements are also provided in the two phases of setup and connection, just to set up virtual system.Conclusion: This conceptual model is suitable as a guide to help health care providers to rapidly and extensively assess the remote respiratory of large numbers of adult patients.

نویسندگان

Parastoo Amiri

PhD Candidate, Student Research Committee, Kerman University of Medical Sciences, Kerman, Iran

Ali Mohammadi

PhD, Health Information Management, Assistant Professor, Department of Health Information Technology, Paramedical School, Kermanshah University of Medical Sciences, Kermanshah, Iran

Kambiz Bahaadinbeigy

PhD, Medical Informatics Research Center, Institute of Futures Studies in Health, Kerman University of Medical Sciences, Kerman, Iran