Evidence map›Paper›PMID 34471649›Full record

ArticleGerontology & geriatric medicine

Clinical Questions Asked by Long-Term Care Providers Through eConsult: A Retrospective Study.

Celeste Fung, Soha Shah, Mary Helmer-Smith, Cheryl Levi, Erin Keely, Clare Liddy

Abstract read
In one paragraph

Article in Gerontology & geriatric medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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

6 authors.

Celeste FungSt. Patrick's Home of Ottawa, Ottawa, ON, Canada.ORCID https://orcid.org/0000-0002-1422-5759
Soha ShahDepartment of Family Medicine, University of Ottawa, Ottawa, ON, Canada.
Mary Helmer-SmithDepartment of Family Medicine, University of Ottawa, Ottawa, ON, Canada.ORCID https://orcid.org/0000-0002-7745-7012
Cheryl LeviEmergency Department Outreach Program, The Ottawa Hospital, Ottawa, ON, Canada.
Erin KeelyOntario eConsult Centre of Excellence, The Ottawa Hospital, Ottawa, ON, Canada.
Clare LiddyDepartment of Family Medicine, University of Ottawa, Ottawa, ON, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductioneConsult allows primary care providers (PCPs) to access timely specialist advice and informs patient care. To understand the use of eConsult in long-term care (LTC) settings, we examined the clinical content and types of questions asked by LTC PCPs.

methodsA descriptive, retrospective study of eConsults submitted through the Champlain BASE™ eConsult Service between January 1, 2017, and December 31, 2018, by LTC PCPs was conducted. Cases were classified using validated taxonomies. Descriptive statistics were generated for content and question type classifications, service utilization data, and close-out survey responses.

results22 LTC PCPs submitted 113 eConsults. They sought advice about drug treatment (58%), diagnosis (44%), and management (38%) in a breadth of clinical areas, often skin-related (39%). Long-term care PCPs frequently asked more than one question type (42%). They received advice within 1 week (91%) and rated eConsult as very helpful and educational. Three case examples are presented.

conclusionThis study demonstrates the type of advice LTC PCPs are seeking through eConsult and its usefulness in this setting. Long-term care stakeholders are encouraged to consider implementing eConsult in other regions, as a means to improve access to timely specialist advice, support clinical decision-making, and improve residents' quality of life.

Indexed as

geriatricslong-term carespecialist caretelemedicine

Identifiers

PMID34471649
PMCPMC8404619

What OpenQuestion holds

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Registered trials

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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.