Evidence map›Paper›PMID 36333667›Full record

ArticleBMC geriatrics2022

Correlation of long-term care facility vaccination practices between seasons and resident types.

Emily T O'Neill, Elliott Bosco, Erin Persico, Joe B Silva, Melissa R Riester, Patience Moyo, Robertus van Aalst, Matthew M Loiacono, Ayman Chit, Stefan Gravenstein and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC geriatrics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Emily T O'NeillDepartment of Health Services, Policy, and Practice, Brown University School of Public Health, 121 South Main Street, Box G-S121-3, Providence, RI, 02912, USA. Emily_oneill@brown.edu.
Elliott BoscoDepartment of Health Services, Policy, and Practice, Brown University School of Public Health, 121 South Main Street, Box G-S121-3, Providence, RI, 02912, USA.
Erin PersicoUniversity of Rhode Island College of Pharmacy, Kingston, RI, USA.
Joe B SilvaDepartment of Health Services, Policy, and Practice, Brown University School of Public Health, 121 South Main Street, Box G-S121-3, Providence, RI, 02912, USA.
Melissa R RiesterDepartment of Health Services, Policy, and Practice, Brown University School of Public Health, 121 South Main Street, Box G-S121-3, Providence, RI, 02912, USA.
Patience MoyoDepartment of Health Services, Policy, and Practice, Brown University School of Public Health, 121 South Main Street, Box G-S121-3, Providence, RI, 02912, USA.
Robertus van AalstSanofi, Swiftwater, PA, USA.
Matthew M LoiaconoSanofi, Swiftwater, PA, USA.
Ayman ChitSanofi, Swiftwater, PA, USA.
Stefan GravensteinDepartment of Health Services, Policy, and Practice, Brown University School of Public Health, 121 South Main Street, Box G-S121-3, Providence, RI, 02912, USA.
Andrew R ZulloDepartment of Health Services, Policy, and Practice, Brown University School of Public Health, 121 South Main Street, Box G-S121-3, Providence, RI, 02912, USA.

Funding

Safe Cardiometabolic Drug Prescribing to Prevent Injury in Nursing Home ResidentsRF1AG061221 · NIA · HEBREW REHABILITATION CENTER FOR AGED · PI BERRY, SARAH DYER · 2019 to 2019
$2.8M
Medications and the Risk of Motor Vehicle Crashes in Older AdultsR01AG065722 · NIA · BROWN UNIVERSITY · PI ZULLO, ANDREW REIS · 2020 to 2023
$2.1M
Nursing Home Prevention of Injury in Dementia (NH PRIDE)R01AG062492 · NIA · HEBREW REHABILITATION CENTER FOR AGED · PI BERRY, SARAH DYER, COLON-EMERIC, CATHLEEN S · 2019 to 2021
$1.5M
Opioid use in post-acute hip fracture care: prescribing patterns, effectiveness, and safetyR21AG061632 · NIA · BROWN UNIVERSITY · PI BEAUDOIN, FRANCESCA, ZULLO, ANDREW REIS · 2019 to 2020
$462k
NIA NIH HHS R01 AG062492NIA NIH HHS R01 AG065722NIA NIH HHS R21 AG061632NIA NIH HHS RF1 AG061221
6 · The paper itself

Abstract

backgroundInfluenza vaccination varies widely across long-term care facilities (LTCFs) due to staff behaviors, LTCF practices, and patient factors. It is unclear how seasonal LTCF vaccination varies between cohabitating but distinct short-stay and long-stay residents. Thus, we assessed the correlation of LTCF vaccination between these populations and across seasons.

methodsThe study design is a national retrospective cohort using Medicare and Minimum Data Set (MDS) data. Participants include U.S. LTCFs. Short-stay and long-stay Medicare-enrolled residents age ≥ 65 in U.S. LTCFs from a source population of residents during October 1

resultsThe median proportion of short-stay residents vaccinated across LTCFs was 70.4% (IQR, 50.0-82.7%) in 2013-2014 and 69.6% (IQR, 50.0-81.6%) in 2014-2015. The median proportion of long-stay residents vaccinated across LTCFs was 85.5% (IQR, 78.0-90.9%) in 2013-2014 and 84.6% (IQR, 76.6-90.3%) in 2014-2015. Within LTCFs, there was a moderate correlation between short-stay and long-stay vaccination in 2013-2014 (r = 0.50, 95%CI: 0.49-0.51) and 2014-2015 (r = 0.53, 95%CI: 0.51-0.54). Across seasons, there was a moderate correlation for LTCFs with short-stay residents (r = 0.54, 95%CI: 0.53-0.55) and a strong correlation for those with long-stay residents (r = 0.68, 95%CI: 0.67-0.69).

conclusionsIn LTCFs with inconsistent influenza vaccination across seasons or between populations, targeted vaccination protocols for all residents, regardless of stay type, may improve successful vaccination in this vulnerable patient population.

Indexed as

Influenza, HumanLong-Term CareAgedHumansMedicareRetrospective StudiesSeasonsUnited StatesVaccinationInfluenza vaccinationLong-term care facilitiesMedicareOlder adultsPost-acute care

Identifiers

PMID36333667
PMCPMC9635204

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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.