Evidence map›Paper›PMID 34338789›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2021

Shared clinical decision-making on vaccines: out of sight, out of mind.

Angela K Shen, Jeremey J Michel, Aisha T Langford, Elizabeth A Sobczyk

Open access · greenAbstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.6field-weighted citation impact, top 27% of its field
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

7 citing papers in PubMed, 11 citations in OpenAlex.

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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

4 authors at 4 institutions in 1 country.

Angela K ShenVaccine Education Center, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA.ORCID 0000-0003-3761-0016
Jeremey J MichelDepartment of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Aisha T LangfordDepartment of Population Health, NYU Langone Health, New York University, New York, New York, USA.ORCID 0000-0003-1758-691X
Elizabeth A SobczykThe Gerontological Society of America, Washington DC, USA.
Children's Hospital of Philadelphia · USECRI Institute · USGerontological Society of America · USNew York University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Clinical decision support systems, which provide automated reminders in electronic health systems, are designed to provide physicians and other health professionals support in clinical decision-making. New clinical guidance from the Advisory Committee on Immunization Practices on a new category of recommendations referred to as "shared clinical decision-making" have left providers struggling to interpret how to best implement recommendations for adult vaccines. The issue at hand is how to ensure that a conversation between the patient and provider occurs. While traditional clinical decision support systems have driven immunization for years, these systems support a binary default opt-in process. The goal for shared decision-making is the discussion rather than the vaccination. The recommended provider-patient conversations need to be supported with both provider guidance as well as tools to ensure vaccines are not omitted from the conversations, particularly as future vaccine candidates progress through the vaccine development pipeline.

Indexed as

Vaccine DevelopmentVaccinesAdultClinical Decision-MakingHumansImmunizationVaccinationVaccinesadult immunizationpopulation healthshared clinical decision making

Identifiers

PMID34338789
PMCPMC8510284
OpenAlexW3190305468

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.