A quick review on cohort studies. 🪻@nursearch
Signed Pakseresht

Channel
@healsearch
On this record: Growth · Engagement · What this channel posts · Posts · Polls · Citations · Telegram's recommendations · Cite this entry
1,247subscribers
+7 since we began measuring on 31 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
| Telegram ID | -1001911316027 |
|---|---|
| Type | Channel |
| Usernames | @healsearch @nursearch |
| Description | در این کانال مطالب مربوط به پژوهش و اصول مقاله نویسی در حوزه پرستاری، پزشکی، مامایی، روانشناسی و پیراپزشکی به اشتراک گذاشته می شود. ارتباط با ادمین: @aranlin |
| Created | Between 1 April 2023 and 30 November 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 31 August 2026 |
| Last confirmed live | 3 September 2026 |
| Measurements held | 4 |
| On Telegram | t.me/healsearch |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 3 Sept 2026, 01:45 | 1,247 | no change |
| 3 Sept 2026, 01:30 | 1,247 | +7 |
| 31 Aug 2026, 09:58 | 1,240 | no change |
| 31 Aug 2026, 01:30 | 1,240 | first reading |
31 posts held, back to 8 August 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 2 pages of Telegram’s post history, 20 posts per page.
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.
| Window | Rolling 30 days · latest post in window 2 September 2026 |
|---|---|
| Posts held | 31 (8 August 2026 – 2 September 2026) |
| Views total | 11,188 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 3 Sept 2026, 01:45 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.
Lifetime counters from Telegram’s own channel header, read 3 September 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Measured directly from 1 video with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.
A quick review on cohort studies. 🪻@nursearch
Signed Pakseresht
Which of the following is a key characteristic of a cohort study? 📍@nursearch
Shares as published, totalling 99%. No per-option vote count is published by Telegram, so none is shown.
Signed Pakseresht
Channel photo updated
Channel photo removed
پژوهش در علوم سلامت pinned «همکاران گرامی، پژوهشگران ارجمند و همراهان عزیز، سلام و وقت بخیر، از ابتدای راهاندازی این کانال، هدف ما اشتراکگذاری دانش و تجربیات در حوزه پژوهش، متدولوژی، نگارش علمی و سایکومتریکس بوده است. با نگاهی به بازخوردهای شما و با توجه به اینکه بسیاری از اصول علمی…»
همکاران گرامی، پژوهشگران ارجمند و همراهان عزیز، سلام و وقت بخیر، از ابتدای راهاندازی این کانال، هدف ما اشتراکگذاری دانش و تجربیات در حوزه پژوهش، متدولوژی، نگارش علمی و سایکومتریکس بوده است. با نگاهی به بازخوردهای شما و با توجه به اینکه بسیاری از اصول علمی (مانند طراحی مطالعه، آمار زیستی، متاآنالیز، ساختار مقاله و نکات داوری) زبان مشترک تمامی رشتههای علوم سلامت هستند، تصمیم گرفتیم تا افق فعالیت کانال را گسترش دهیم.…
Signed Reza Ghanei Gheshlagh
Channel name was changed to «پژوهش در علوم سلامت»
🔷گزارش بخشی از مقاله مواجهه با مرگ در بالین: تجربه زیسته دانشجویان ترم آخر پرستاری (لینک مقاله در پایین) https://link.springer.com/article/10.1186/s12912-025-04166-7 در یک مطالعه کیفی پدیدارشناسی روی ۱۶ دانشجوی سال آخر پرستاری (۵ مرد و ۱۱ زن، در بخشهای ویژه، اورژانس و داخلی)، ابعاد عاطفی، اخلاقی، رفتاری و آموزشی اولین تجربه رویارویی با مرگ بیمار و احیا واکاوی شده است. نتایج به چیزهای جالبی اشاره داشت مانند: 👈واکنش…
Signed Reza Ghanei Gheshlagh
🟣سومین فایده داشتن کد ارکید: اتوماسیون و سرعت در فرآیند سابمیت مقاله در بسیاری از پورتالهای سابمیت (مانند Editorial Manager یا ScholarOne): به جای پر کردن دستی و طولانی فرمهای مشخصات، افیلییشن، سوابق و ایمیل، فقط با کلیک روی گزینه “Log in with ORCID”، تمام اطلاعات شما در چند ثانیه لود میشود. @nursearch
Signed Reza Ghanei Gheshlagh
🟣دومین فایده داشتن کد ارکید: استقلال از وابستگی سازمانی و ایمیل دانشگاهی اگر دانشگاه یا افیلییشن شما تغییر کند (مثلاً جابجایی بین دانشگاههای علوم پزشکی یا همکاری با دانشگاه های خارجی و…) یا ایمیل آکادمیک دانشگاهیتان به هر دلیلی قطع شود: اکانت ارکید همیشه متعلق به شخص شماست و مادامالعمر حفظ میشود. پیشینه تمام فعالیتها، گرنتها و مقالات شما فارغ از اینکه در کدام موسسه هستید، یکپارچه باقی میماند. @nursearch
Signed Reza Ghanei Gheshlagh
🟣چرا «ارکید (ORCID)» برای پژوهشگران ایرانی یک ضرورت حیاتی است؟ (بخش اول: حل معمای اسپلینگ و تشابه اسمی) یکی از رایجترین و تلخترین اتفاقات در دنیای پژوهش، سوختن استنادات (Citations) به دلیل تنوع نگارش نام و نامخانوادگی است! ✍️ برای مثال، نام یک نویسنده ممکن است در مقالات مختلف به صورتهای متعددی نمایه شود: 👈 Reza Ghanei Gheshlagh یا R. Ghanei-Gheshlaghیا R. G. Gheshlag یا حتی با یک خطای تایپی ساده از سوی ژورنال! …
Signed Reza Ghanei Gheshlagh
ما تیم پژوهشی دانشگاه علوم پزشکی کردستان مطالعهای (با کد اخلاق: IR.MUK.REC.1405.026) برای سنجش پاسخگویی اجتماعی دانشگاه های علوم پزشکی انجام میدهیم؛ یعنی میخواهیم میزان انطباق آموزش، پژوهش و خدمات دانشگاه های علوم پزشکی را با نیازهای واقعی جامعه، فرهنگ و اقتصاد مردم و تأثیر آن بر سلامت عمومی بسنجیم . دانشجویان گرامی دانشگاه های علوم پزشکی لطفاً در این تحقیق مشارکت کنید: 📝 تکمیل پرسشنامه کمتر از ۵ دقیقه زمان میبر…
Signed Mohsen
Showing the 12 most recent of 31 posts we hold for @healsearch. 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.
The 3 polls we hold for this entry, as Telegram rendered them when we read the post. A poll’s figures keep moving after that, so each one is dated.
Which of the following is a key characteristic of a cohort study? 📍@nursearch
Shares as published, totalling 99%. No per-option vote count is published by Telegram, so none is shown.
In an RCT, what is the main goal of randomization? 📍@nursearch
Shares as published. No per-option vote count is published by Telegram, so none is shown.
A Cross-sectional study is best described as: 📍 @nursearch
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 31 most recent posts we hold, published 8 August 2026 to 2 September 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
Republishes
Channels on the register whose posts this channel has forwarded.
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.
Names
Channels on the register whose handles appear in this channel's posts.
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.
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
This channel appears in 2 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 3 September 2026 — this entry's latest reading, not the date you are reading this.
“پژوهش در علوم سلامت” (@healsearch), 1,247 subscribers as measured 3 September 2026. Telegram Register, tgregister.com/channel/healsearch.
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.