ArticleJournal of the American Medical Directors Association2020
Recommendations for Mandatory Influenza Vaccinations for Health Care Personnel From AMDA's Infection Advisory Subcommittee.
Article in Journal of the American Medical Directors Association, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
12 citing papers in PubMed, 22 citations in OpenAlex.
- Stringent and complex sequence constraints of an IGHV1-69 broadly neutralizing antibody to influenza HA stem.Cell reports · 2023Article
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- Infection control in long term care institutions for the elderly: A reflection document on the situation in Spain.Revista espanola de quimioterapia : publicacion oficial de la Sociedad Espanola de Quimioterapia · 2023Review
- Italian guidance on Dementia Day Care Centres: A position paper.Aging clinical and experimental research · 2023Review
- A Healthcare Paradigm for Deriving Knowledge Using Online Consumers' Feedback.Healthcare (Basel, Switzerland) · 2022Article
- Engaging Nursing Assistants to Enhance Receptivity to the Coronavirus Disease 2019 Vaccine.Journal of the American Medical Directors Association · 2021Article
- The Winter Respiratory Viral Season During the COVID-19 Pandemic.Journal of the American Medical Directors Association · 2020Article
- Article
- What Should We Be Studying Regarding COVID-19?Journal of the American Medical Directors Association · 2020Article
- Root Cause Analysis to Identify Medication and Non-Medication Strategies to Prevent Infection-Related Hospitalizations from Australian Residential Aged Care Services.International journal of environmental research and public health · 2020Article
- Article
- Addressing hesitancy to COVID-19 vaccines in healthcare assistants.Geriatric nursing (New York, N.Y.)Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 7 institutions in 1 country.
Funding
Abstract
Preventing influenza infections is a national health priority, particularly among geriatric and adults with frailty who reside in post-acute and long-term care (PALTC) settings. Older adults account for more than 70% of deaths from influenza, a reflection of decreased vaccine effectiveness in that age group. Annually vaccinating health care personnel (HCP) working with these patients against influenza is critical to reducing influenza morbidity and mortality among patients. PALTC HCP have the lowest influenza vaccination rate when compared to HCP in other settings. The Advisory Committee on Immunization Practices recommends that all HCP receive an annual influenza vaccination, including those who do not have direct patient care responsibilities. Here, we discuss the importance of influenza vaccination for HCP, detail recommendations for influenza vaccination practice and procedures for PALTC settings, and offer support to PALTC settings and their staff on influenza vaccinations.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.