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Channel

انجمن علمی پرستاری شبکه نخبگان ایران

@NursingAssociation_Iran

On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry

184subscribers

-4 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1003470056158
TypeChannel
Username@NursingAssociation_Iran
CreatedBetween 1 November 2025 and 31 March 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live13 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 13 August 2026
On Telegramt.me/NursingAssociation_Iran

Growth

1841881866 August 2026 — 188 subscribers7 August 2026 — 188 subscribers13 August 2026 — 184 subscribers6 August 202613 August 2026
3 measurements spanning 7 days, net -4. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 183–189 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Aug 2026, 02:54184-4
7 Aug 2026, 07:16188no change
6 Aug 2026, 05:19188first reading

Engagement

20 posts held, back to 10 June 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
63.3%
avg views ÷ 184 subscribers
Avg views / post
117
2 posts measured
Reaction rate
3.00%
reactions ÷ views · ER floor
Posts in window
2
of 20 held

ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.

ER is defined industry-wide as (forwards + reactions + comments) ÷ views— note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate.

What these figures were computed from
WindowRolling 30 days · latest post in window 19 July 2026
Posts held20 (10 June 202619 July 2026)
Views total233
Reactions total7
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 07:16 UTC

Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.

Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.

Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.

Reaction mix

64 reactions across 16 posts, in 4 distinct kinds. The most used accounts for 50.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👏3250.0%
🔥2437.5%
👍69.38%
23.13%

No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.

Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.

Coverage. Reactions were read on 16 of the 20 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 64reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 10 June 2026 to 19 July 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.

Recent posts

19 Jul 2026, 08:09 UTC122 views5 reactionsread 7 August 2026

📝 خلاصه مقاله 🎯 هدف مطالعه بررسی تأثیر فرسودگی شغلی پرستاران بر کیفیت مراقبت از بیماران و میزان بروز خطاها و رویدادهای ناخواسته در دوران همه‌گیری کووید-19. 📊 یافته‌های اصلی ✅ پرستارانی که فرسودگی شغلی بیشتری داشتند، کیفیت مراقبت ارائه‌شده را پایین‌تر ارزیابی کردند. ✅ فرسودگی شغلی با افزایش احتمال وقوع خطاهای درمانی و رویدادهای ناخواسته همراه بود. ✅ فشار کاری بالا و استرس ناشی از همه‌گیری از مهم‌ترین عوامل افزایش فر

👏5

19 Jul 2026, 08:08 UTC111 views2 reactionsread 7 August 2026
File

📄 عنوان مقاله فرسودگی شغلی و ارتباط آن با کیفیت گزارش‌شده مراقبت از بیمار و بروز رویدادهای ناخواسته در دوران کووید-19: مطالعه مقطعی بر روی پرستاران Burnout and its Relationship to Self-Reported Quality of Patient Care and Adverse Events during COVID-19: A Cross-Sectional Online Survey among Nurses 📅 تاریخ انتشار: 24 ژوئن 2021 📖 ژورنال: Journal of Nursing Management 📝 خلاصه مقاله در ادامه 👇

👍2

14 Jul 2026, 07:40 UTC271 views4 reactionsread 7 August 2026
Photo

🔰 فراخوان همکاری با نشریه‌ مدافعان سلامت انجمن پرستاری شبکه نخبگان ایران 📣 نشریه مدافعان سلامت انجمن پرستاری شبکه نخبگان ایران از تمامی علاقه‌مندان برای مشارکت در زمینه‌های ذیل دعوت به همکاری می‌کند: 🔺 نویسندگی (هیأت تحریریه) 🔺 ویراستاری 🔺 طراحی جلد 🔺 صفحه‌آرایی 🔹 مزایای همکاری: 🔸 نشریه به صورت فصلنامه می‌باشد و اسامی عوامل اجرایی در نشریه قید خواهد شد. 🔸 تخفیف شرکت در دوره‌های انجمن 🔸 ورود به هسته ‌مرکزی انجمن 🔸

🔥4

12 Jul 2026, 14:40 UTC328 views5 reactionsread 7 August 2026

💊 ۱. خطای دارویی ❌ خطا: بروز اشتباه در نام دارو، دوز، زمان یا نحوه تجویز که می‌تواند منجر به عوارض جدی برای بیمار گردد. ✅ راهکار: رعایت اصول «هشت‌گانه صحیح دارویی (8 Rights)» و انجام کنترل مجدد، به‌ویژه در داروهای پرخطر، ضروری است. 🗣 ۲. ارتباط نامؤثر با تیم درمان ❌ خطا: انتقال ناقص یا نادرست اطلاعات که ممکن است تصمیم‌گیری بالینی را دچار اختلال نماید. ✅ راهکار: استفاده از الگوی استاندارد SBAR (وضعیت، پیشینه، ارزیابی

👏5

12 Jul 2026, 14:39 UTC255 views3 reactionsread 7 August 2026
Photo

🩺 ۱۰ خطای رایج پرستاران در شیفت و راهکارهای پیشگیری از آن‌ها متن کامل در ادامه👇

👏3

11 Jul 2026, 13:45 UTCviews —

انجمن علمی پرستاری شبکه نخبگان ایران pinned a photo

7 Jul 2026, 13:35 UTC243 views4 reactionsread 7 August 2026

📌 ادامه از بخش اول 📊 یافته‌های مهم: 1️⃣ تأثیر بر کلیه‌ها: سدیم بی‌کربنات کاهش چندانی در بروز نارسایی کلیه یا نیاز به دیالیز ایجاد نکرد. 2️⃣ مرگ‌ومیر: نرخ مرگ‌ومیر در هر دو گروه تقریباً مشابه بود و تفاوت معنا‌داری وجود نداشت. 3️⃣ عوارض جانبی: در برخی بیماران دریافت‌کننده سدیم بی‌کربنات، اختلالات الکترولیتی (عمدتاً هایپوکالمی) و عوارض مرتبط دیده شد. 4️⃣ اثربخشی کلی: برخلاف تصور رایج، سدیم بی‌کربنات مزیت قابل‌توجهی نسب

👏4

7 Jul 2026, 13:33 UTC195 views4 reactionsread 7 August 2026
File

📄 عنوان مقاله: بررسی تأثیر سدیم بی‌کربنات در بیماران بدحال با اسیدوز متابولیک و شوک Sodium Bicarbonate for Critically Ill Adults with Metabolic Acidosis and Shock 🗓 سال انتشار: ۲۰۲۶ 📚 نشریه: New England Journal of Medicine (NEJM) 📝 خلاصه مقاله 📌 اهمیت پژوهش: این مطالعه به بررسی این سوال که آیا واقعاً تجویز سدیم بی‌کربنات برای بیماران مبتلا به شوک و اسیدوز متابولیک مفید است یا خیر، می‌پردازد. با وجود اینکه سدیم بی

👏4

6 Jul 2026, 13:04 UTC124 views3 reactionsread 7 August 2026
Photo

🔰 انجمن پرستاری با همکاری انجمن پیراپزشکی شبکه نخبگان ایران برگزار می کند: 💠 ورکشاپ جامع و عملی مهارت های رگ گیری + تداخلات دارویی و سرم تراپی 💉 🩸 از صفر تزریقات تا صد تسلط با کار عملی💉 🏛با حضور اساتید دانشگاه علوم پزشکی تهران 📋 همراه با ارائه #گواهی معتبر 📚 سرفصل دوره: ▫️آشنایی با انواع #تزریقات وریدی، زیرجلدی، عضلانی، داخل جلدی و سرم تراپی ▫️مدیریت #عوارض و آشنایی با #تداخلات مهم دارویی ▫️اصول #خونگیری و #رگ

🔥3

30 Jun 2026, 16:15 UTC400 views6 reactionsread 7 August 2026

سندروم کمپارتمان 🤔 تعریف سندروم کمپارتمان یکی از جدی‌ترین عوارض زودرس گچ‌گیری و اسپلینت‌گذاری محسوب می‌شود. این سندروم می‌تواند در اثر افزایش حجم کمپارتمان (مانند ادم یا خونریزی)، کاهش اندازه کمپارتمان (مانند وجود گچ محدودکننده) یا ترکیبی از هر دو ایجاد شود. اگرچه ممکن است بروز علائم تا ۴۸ ساعت به طول انجامد، اما معمولاً به سرعت و طی ۶ تا ۸ ساعت پس از آسیب اولیه یا پس از ترمیم شکستگی ایجاد می‌شود. گچ یا اسپلینت سفت

🔥6

24 Jun 2026, 08:36 UTC244 views2 reactionsread 7 August 2026

📌 ادامه از بخش اول 🔒 ملاحظات اخلاقی 🛡️ محرمانگی اطلاعات بیماران 🛡️ امنیت داده‌ها 🛡️ مسئولیت‌پذیری در خطاها 🛡️ حفظ ارتباط انسانی 💡 پیام‌های کاربردی 👩‍⚕️ هوش مصنوعی مکمل پرستار است. 📚 آموزش مهارت‌های دیجیتال ضروری است. 🤝 همدلی و تفکر انتقادی همچنان اهمیت دارند. 📌 جمع‌بندی پرستاران دیدگاه مثبتی نسبت به هوش مصنوعی دارند، اما بر حفظ اصول اخلاقی و نقش انسانی در مراقبت تأکید می‌کنند. 🔗 لینک دسترسی به مقاله ✅ در کا

👏2

24 Jun 2026, 08:34 UTC214 views2 reactionsread 7 August 2026
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.📄 عنوان مقاله هوش مصنوعی در عملکرد پرستاری: مطالعه‌ای کیفی درباره دیدگاه پرستاران نسبت به فرصت‌ها، چالش‌ها و ملاحظات اخلاقی Artificial Intelligence in Nursing Practice: A Qualitative Study of Nurses' Perspectives on Opportunities, Challenges, and Ethical Implications 📅 تاریخ انتشار: 14 اکتبر 2025 📖 ژورنال: BMC Nursing 📝 خلاصه مقاله 🎯 هدف مطالعه بررسی دیدگاه پرستاران درباره کاربرد هوش مصنوعی در مراقبت‌های پرستاری.

2

Showing the 12 most recent of 20 posts we hold for @NursingAssociation_Iran. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.

Citation-graph rank

Citation-graph rank — 222,165 of 1,481,346entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

Forward network

Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.

Mentions

Named by 8 registered channels — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.

A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.

Cite this entry

A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 13 August 2026 — this entry's latest reading, not the date you are reading this.

“انجمن علمی پرستاری شبکه نخبگان ایران” (@NursingAssociation_Iran), 184 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/NursingAssociation_Iran.

Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.