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Channel
Сестринское дело. Управление и практика
@glavmeds
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Telegram's recommendations · Cite this entry
11,845subscribers
-863 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1001511553436 |
|---|---|
| Type | Channel |
| Username | @glavmeds |
| Created | Between 1 August 2021 and 28 February 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 27 August 2026 |
| Measurements held | 21 |
| Confirmed unchanged | 1 time, most recently 27 August 2026 |
| On Telegram | t.me/glavmeds |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 27 Aug 2026, 22:07 | 11,845 | -3 |
| 26 Aug 2026, 22:43 | 11,848 | -4 |
| 26 Aug 2026, 02:04 | 11,852 | +6 |
| 25 Aug 2026, 05:34 | 11,846 | -3 |
| 24 Aug 2026, 06:23 | 11,849 | -3 |
| 22 Aug 2026, 15:26 | 11,852 | -3 |
| 21 Aug 2026, 07:18 | 11,855 | -5 |
| 20 Aug 2026, 08:04 | 11,860 | -2 |
| 19 Aug 2026, 11:15 | 11,862 | -2 |
| 18 Aug 2026, 12:14 | 11,864 | -6 |
| 17 Aug 2026, 11:25 | 11,870 | -8 |
| 15 Aug 2026, 20:13 | 11,878 | -8 |
| 14 Aug 2026, 13:27 | 11,886 | -85 |
| 13 Aug 2026, 04:36 | 11,971 | -2 |
| 12 Aug 2026, 04:13 | 11,973 | -17 |
| 11 Aug 2026, 05:53 | 11,990 | -703 |
| 10 Aug 2026, 03:41 | 12,693 | -8 |
| 9 Aug 2026, 02:11 | 12,701 | -6 |
| 8 Aug 2026, 00:22 | 12,707 | -1 |
| 7 Aug 2026, 06:30 | 12,708 | first reading |
Engagement
78 posts held, back to 30 July 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 38 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 2.97%
- avg views ÷ 11,845 subscribers
- Avg views / post
- 352
- 78 posts measured
- Reaction rate
- 0.249%
- reactions ÷ views · ER floor
- Posts in window
- 78
- of 78 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. It is computed over the 13 of 78 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 27 August 2026 |
|---|---|
| Posts held | 78 (30 July 2026 – 27 August 2026) |
| Views total | 27,429 |
| Reactions total | 13 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 27 Aug 2026, 17:56 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.
What this channel posts
- Video runtime
- 0s
- Average length
- 0s
Measured directly from 2 videos 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.
Reaction mix
13 reactions across 11 posts, in 3 distinct kinds. The most used accounts for 84.6% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 11 | 84.6% | |
| 👏 | 1 | 7.69% | |
| 🔥 | 1 | 7.69% |
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 13 of the 78 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 13reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 78 most recent posts we hold, published 30 July 2026 to 27 August 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
🔥Редакция открыла доступ к важной статье нового номера Журнала Справочник медсестры В статье — материалы для подготовки сестринской службы к новым правилам аттестации от юрисконсульта московской клиники. Законодатели планируют приравнять аттестацию к аккредитации — у медсестер будет больше причин сдать на категорию. Сможете разъяснить персоналу, как подготовить документы к аттестации по новым правилам, почему итогов…
Video, posted without a caption
Система «Главная медсестра» — это ваша база готовых решений повседневных задач, подтвержденных нормативными актами и практическим опытом. - - https://vk.cc/cTPDzH Внутри вы найдете видеогид по блокам Системы: базу НПД, шаблоны документов с сервисом проверки, онлайн-помощника для оперативных консультаций, библиотеку СОП, готовый комплект поручений, расчетчики по типам обработки и доступ к корпоративному обучению. К…
🔔Какие требования к отделке и оснащению комнаты хранения отходов❓ Прочитайте ответ от экспертов Системы "Главная медсестра" в нашем max боте прямо сейчас ! ✅[Прочесть ответ](https://max.ru/id7715670503_4_bot?start=dl-17827371421e2c9dec8ce5)
🍂 Правила уже изменились. В новом номере журнала «Главная медицинская сестра» — всё, что нужно для спокойной и корректной практики этой осенью. ⚡ **ВАЖНО ПРОЧИТАТЬ: Новые правила по пастереллезу, бруцеллезу и листериозу** Как выполнить требования Роспотребнадзора по работе с «возвращающимися» инфекциями. Эпидемиолог центра компетенций Росздравнадзора объяснила, как выявлять и забирать пробы на инфекции, которые мног…
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Photo, posted without a caption
✨Новые правила по холере вызывают много вопросов у главных и старших медсестер. Инструкции меняются, а проверки не дремлют. Чтобы поддержать вас, 21 сентября мы проводим конференцию «Новые и возвращающиеся ООИ: алгоритмы для персонала и чек-листы главной медсестры» с реальными практиками из Роспотребнадзора и Противочумного центра. Там всё разложим по полочкам: от забора биоматериала до готовых чек-листов. Без воды…
Приглашаем на научно-практическую конференцию «Эпидемиологическое благополучие медицинской организации: роль менеджеров сестринского дела» 🗓 Дата: 10 сентября 📍 Место: Псков ✅ Участие: Бесплатно 🎓 Спикер: Орлова О.А., д.м.н., врач-эпидемиолог НМХЦ им. Пирогова, вед. науч. сотрудник ЦНИИ Эпидемиологии Роспотребнадзора. 📋 Программа: 🔸 ИСМП: Выявление, профилактика и контроль. 🔸 Микробиологический мониторинг: Организ…
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🚨 Устали искать ответы в нормативных документах? Боитесь проверок? Вы — главная медсестра. Ваша задача — не просто следить за порядком, а работать уверенно, без ошибок и штрафов. Но как успеть всё: от хранения ЛС до обучения команды, от заполнения документов до внедрения новых требований? 💡 Решение уже здесь — Cистема «Главная медсестра».. Это не просто база документов — это ваш персональный эксперт 24/7, который з…
Showing the 12 most recent of 78 posts we hold for @glavmeds. 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.
Appears in Telegram’s recommendations for other channels
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.
@msestra · 45,009
Telegram ranks this channel #1 of 94 here — alongside 93 others — read 27 August 2026
This channel appears in 1 seed channel's Telegram-generated recommendation list in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 27 August 2026 — this entry's latest reading, not the date you are reading this.
“Сестринское дело. Управление и практика” (@glavmeds), 11,845 subscribers as measured 27 August 2026. Telegram Register, tgregister.com/channel/glavmeds.
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.