Evidence map›Paper›PMID 35352577›Full record

ArticleJournal of primary care & community health

Documentation of Behavioral Health Risk Factors in a Large Academic Primary Care Clinic.

Stephanie Hosang, Natasha Kithulegoda, Noah Ivers

Open access · goldAbstract read
In one paragraph

Article in Journal of primary care & community health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 48% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

3 authors at 1 institution in 1 country.

Stephanie HosangUniversity of Toronto, Toronto, ON, Canada.ORCID 0000-0002-4139-745X
Natasha KithulegodaUniversity of Toronto, Toronto, ON, Canada.
Noah IversUniversity of Toronto, Toronto, ON, Canada.
University of Toronto · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo determine the prevalence of alcohol, smoking, and physical activity status documentation at a family health team in Toronto, Ontario, and to explore the patient characteristics that predict documentation of these lifestyle risk factor statuses.

designManual retrospective review of electronic medical records (EMRs).

settingLarge, urban, academic family health team in Toronto, Ontario.

participantsPatients over the age of 18 that had attended a routine clinical appointment in March, 2018.

main outcome measuresPrevalence and content of risk factor status in electronic medical records for alcohol, smoking, and physical activity.

resultsThe prevalence of alcohol, smoking, and physical activity documentation was 86.4%, 90.4%, and 66.1%, respectively. These lifestyle risk factor statuses were most often documented in the "risk factors" section of the EMR (83.7% for alcohol, 88.1% for smoking, and 47.9% for physical activity). Completion of a periodic health review within 1 year was most strongly associated with documentation (alcohol odds ratio [OR] 9.79, 95% Confidence Interval [CI] 2.12, 45.15; smoking OR 1.77 95% CI 0.51, 6.20; physical activity OR 3.52 95% CI 1.67, 7.40).

conclusionDocumentation of lifestyle risk factor statuses is strongly associated with having a recent periodic health review. If "annual physicals" continue to decline, primary care providers should final additional opportunities to address these key determinants of health.

Indexed as

DocumentationElectronic Health RecordsAdultExerciseHumansMiddle AgedPrimary Health CareRisk Factorschart reviewprimary care

Identifiers

PMID35352577
PMCPMC8972913
OpenAlexW4221039310

What OpenQuestion holds

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LicenceCC BY
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.