Nursing Development in Health
توسعه پرستاری در سلامت
3
Medical Sciences
http://ndhj.lums.ac.ir
1
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2783-4530
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jalali
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gregorian
2026
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اثربخشی مداخلات مبتنی بر هوش مصنوعی و سلامت همراه در آموزش سلامت جامعه: مرور سیستماتیک مطالعات منتشرشده از ۲۰۱۵ تا ۲۰۲۶
Artificial Intelligence and Mobile Health Applications in Community Health Education: A Systematic Review between 2015 and 2026
عمومى
General
پژوهشي
Research
<span style="font-size:11pt"><span style="direction:rtl"><span style="unicode-bidi:embed"><span style="line-height:107%"><span style="font-family:"Calibri",sans-serif"><b><span lang="FA" style="font-size:12.0pt"><span style="line-height:107%"><span style="font-family:"B Mitra"">زمینه و هدف:</span></span></span></b><span lang="FA" style="font-size:12.0pt"><span style="line-height:107%"><span style="font-family:"B Mitra""> هوش مصنوعی</span></span></span> <span dir="LTR" style="font-family:"Times New Roman",serif">(AI) </span><span lang="FA" style="font-size:12.0pt"><span style="line-height:107%"><span style="font-family:"B Mitra"">و اپلیکیشن‌های سلامت موبایل</span></span></span> <span dir="LTR" style="font-family:"Times New Roman",serif">(mHealth) </span><span lang="FA" style="font-size:12.0pt"><span style="line-height:107%"><span style="font-family:"B Mitra"">ابزارهای نویدبخشی برای بهبود آموزش سلامت جامعه هستند. این مطالعه با هدف مرور و سنتز نظام‌مند شواهد موجود درباره اثربخشی مداخلات مبتنی بر هوش مصنوعی و سلامت همراه در آموزش سلامت جامعه انجام شد.</span></span></span> <span lang="FA" style="font-size:12.0pt"><span style="line-height:107%"><span style="font-family:"B Mitra""></span></span></span></span></span></span></span></span><br>
<span style="font-size:11pt"><span style="direction:rtl"><span style="unicode-bidi:embed"><span style="line-height:107%"><span style="font-family:"Calibri",sans-serif"><b><span lang="FA" style="font-size:12.0pt"><span style="line-height:107%"><span style="font-family:"B Mitra"">مواد و روش ها:</span></span></span></b><span lang="FA" style="font-size:12.0pt"><span style="line-height:107%"><span style="font-family:"B Mitra""> این مرور سیستماتیک بر اساس راهنمای</span></span></span><span dir="LTR" style="font-family:"Times New Roman",serif"> Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA)</span> <span lang="FA" style="font-size:12.0pt"><span style="line-height:107%"><span style="font-family:"B Mitra"">۲۰۲۰</span></span></span> <span lang="FA" style="font-size:12.0pt"><span style="line-height:107%"><span style="font-family:"B Mitra"">انجام و گزارش شد. جستجوی سیستماتیک در پایگاه‌های داده </span></span></span> <span dir="LTR" style="font-family:"Times New Roman",serif">PubMed</span><span lang="FA" style="font-family:"Times New Roman",serif">، </span><span dir="LTR" style="font-family:"Times New Roman",serif">Scopus</span><span lang="FA" style="font-family:"Times New Roman",serif">، </span><span dir="LTR" style="font-family:"Times New Roman",serif">CINAHL</span><span lang="FA" style="font-family:"Times New Roman",serif">، </span> <span dir="LTR" style="font-family:"Times New Roman",serif">Web of Science</span> <span lang="FA" style="font-size:12.0pt"><span style="line-height:107%"><span style="font-family:"B Mitra"">و</span></span></span> <span dir="LTR" style="font-family:"Times New Roman",serif">Embase</span> <span lang="FA" style="font-size:12.0pt"><span style="line-height:107%"><span style="font-family:"B Mitra"">از ۱ ژانویه ۲۰۱۵ تا ۳۰ ژوئن ۲۰۲۶ انجام گردید. مطالعات کمی، کیفی و ترکیبی که اثربخشی مداخلات مبتنی بر هوش مصنوعی یا سلامت همراه را در آموزش سلامت جامعه بررسی کرده بودند، وارد مطالعه شدند. </span></span></span></span></span></span></span></span><br>
<span style="font-size:11pt"><span style="direction:rtl"><span style="unicode-bidi:embed"><span style="line-height:107%"><span style="font-family:"Calibri",sans-serif"><b><span lang="FA" style="font-size:12.0pt"><span style="line-height:107%"><span style="font-family:"B Mitra"">یافته‌ها:</span></span></span></b><span lang="FA" style="font-size:12.0pt"><span style="line-height:107%"><span style="font-family:"B Mitra""> در مجموع ۲۸ مطالعه واجد شرایط وارد مرور شدند. از این تعداد، ۲۱ مطالعه (۷۵</span></span></span><span lang="FA" style="font-size:12.0pt"><span style="line-height:107%"><span style="font-family:"Times New Roman",serif">٪</span></span></span><span lang="FA" style="font-size:12.0pt"><span style="line-height:107%"><span style="font-family:"B Mitra"">) بهبود معنی‌دار در دانش سلامت و ۱۷ مطالعه (۶۰.۷</span></span></span><span lang="FA" style="font-size:12.0pt"><span style="line-height:107%"><span style="font-family:"Times New Roman",serif">٪</span></span></span><span lang="FA" style="font-size:12.0pt"><span style="line-height:107%"><span style="font-family:"B Mitra"">)</span></span></span> <span lang="FA" style="font-size:12.0pt"><span style="line-height:107%"><span style="font-family:"B Mitra"">تغییرات مثبت رفتاری را گزارش کردند. مداخلات مبتنی بر هوش مصنوعی ظرفیت بیشتری برای شخصی‌سازی آموزش و افزایش مشارکت کاربران نشان دادند. بهبودهای بالینی از جمله کاهش</span></span></span> <span dir="LTR" style="font-family:"Times New Roman",serif">HbA1c</span> <span lang="FA" style="font-size:12.0pt"><span style="line-height:107%"><span style="font-family:"B Mitra"">نیز مشاهده شد. موانع اصلی شامل سواد دیجیتال پایین و دسترسی محدود به اینترنت (به‌ویژه در مناطق روستایی) بود.</span></span></span> <span lang="FA" style="font-size:12.0pt"><span style="line-height:107%"><span style="font-family:"B Mitra""></span></span></span></span></span></span></span></span><br>
<span style="font-size:11pt"><span style="direction:rtl"><span style="unicode-bidi:embed"><span style="line-height:107%"><span style="font-family:"Calibri",sans-serif"><b><span lang="FA" style="font-size:12.0pt"><span style="line-height:107%"><span style="font-family:"B Mitra"">نتیجه‌گیری:</span></span></span></b><span lang="FA" style="font-size:12.0pt"><span style="line-height:107%"><span style="font-family:"B Mitra""> شواهد موجود نشان می‌دهد که مداخلات مبتنی بر هوش مصنوعی و سلامت همراه می‌توانند آموزش سلامت جامعه را بهبود دهند؛ با این حال، اثربخشی آن‌ها به کیفیت طراحی مداخله، زیرساخت‌های فناوری، سواد دیجیتال و تطابق فرهنگی وابسته است. این یافته‌ها می‌تواند راهنمای ارزشمندی برای پرستاران سلامت جامعه و سیاست‌گذاران حوزه سلامت در ایران فراهم کند.</span></span></span> <span lang="FA" style="font-size:12.0pt"><span style="line-height:107%"><span style="font-family:"B Mitra""></span></span></span></span></span></span></span></span><br>
<span style="font-size:11pt"><span style="direction:rtl"><span style="unicode-bidi:embed"><span style="line-height:107%"><span style="font-family:"Calibri",sans-serif"><b><span lang="FA" style="font-size:12.0pt"><span style="line-height:107%"><span style="font-family:"B Mitra"">کلمات کلیدی:</span></span></span></b><span lang="FA" style="font-size:12.0pt"><span style="line-height:107%"><span style="font-family:"B Mitra""> هوش مصنوعی، سلامت همراه </span></span></span><span dir="LTR" style="font-family:"Times New Roman",serif">(mHealth)</span><span lang="FA" style="font-size:12.0pt"><span style="line-height:107%"><span style="font-family:"B Mitra"">، آموزش سلامت جامعه، پرستاری سلامت جامعه، ارتقای سلامت، مرور سیستماتیک</span></span></span></span></span></span></span></span><br>
<span style="font-size:11pt"><span style="line-height:107%"><span style="font-family:"Calibri",sans-serif"><b><span style="font-family:"Times New Roman",serif">Background and Objectives:</span></b><span style="font-family:"Times New Roman",serif"> Artificial intelligence (AI) and mobile health (mHealth) applications are promising tools for enhancing community health education. This systematic review aimed to synthesize the available evidence on the effectiveness of AI- and mHealth-based interventions in community health education.</span></span></span></span><br>
<span style="font-size:11pt"><span style="line-height:107%"><span style="font-family:"Calibri",sans-serif"><b><span style="font-family:"Times New Roman",serif">Materials and Methods:</span></b><span style="font-family:"Times New Roman",serif"> This systematic review was conducted and reported according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 guidelines. A comprehensive search was performed in PubMed, Scopus, CINAHL, Web of Science, and Embase for studies published from January 1, 2015, to June 30, 2026. Quantitative, qualitative, and mixed-methods studies evaluating AI- or mHealth-based interventions in community health education were included. </span></span></span></span><br>
<span style="font-size:11pt"><span style="line-height:107%"><span style="font-family:"Calibri",sans-serif"><b><span style="font-family:"Times New Roman",serif">Results:</span></b><span style="font-family:"Times New Roman",serif"> Twenty-eight studies met the inclusion criteria. Of these, 21 studies (75.0%) reported significant improvements in health-related knowledge, and 17 studies (60.7%) demonstrated positive behavioral changes. AI-based interventions were associated with greater potential for personalized education and increased user engagement. Several studies also reported favorable clinical outcomes, including reductions in HbA1c levels. The main barriers identified were limited digital literacy and inadequate internet access, particularly in rural areas. </span></span></span></span><br>
<span style="font-size:11pt"><span style="line-height:107%"><span style="font-family:"Calibri",sans-serif"><b><span style="font-family:"Times New Roman",serif">Conclusion:</span></b><span style="font-family:"Times New Roman",serif"> AI- and mHealth-based interventions can improve community health education. However, their effectiveness depends on intervention design quality, technological infrastructure, digital literacy, and cultural adaptation. These findings may guide community health nurses and healthcare policymakers in settings similar to Iran.</span></span></span></span><br>
<span style="font-size:11pt"><span style="line-height:107%"><span style="font-family:"Calibri",sans-serif"><b><span style="font-family:"Times New Roman",serif">Keywords:</span></b><span style="font-family:"Times New Roman",serif"> Artificial Intelligence, Mobile Health (mHealth), Community Health Education, Community Health Nursing, Health Promotion, Systematic Review</span></span></span></span><br>
هوش مصنوعی, سلامت همراه (mHealth), آموزش سلامت جامعه, پرستاری سلامت جامعه, ارتقای سلامت, مرور سیستماتیک
Artificial Intelligence, Mobile Health (mHealth), Community Health Education, Community Health Nursing, Health Promotion, Systematic Review
25
38
http://ndhj.lums.ac.ir/browse.php?a_code=A-10-1062-2&slc_lang=other&sid=1
Hadis Sadat
Hosseini
حدیث السادات
حسینی
10031947532846002425
10031947532846002425
No
Mansureh
Sohrabi
منصوره
سهرابی
10031947532846002426
10031947532846002426
Yes
Mahsa
Kiaei
مهسا
کیایی
10031947532846002427
10031947532846002427
No