Evidence map›Paper›PMID 18854475›Full record

ArticleCanadian family physician Medecin de famille canadien2008

Can you use a sequential sample of patients as a substitute for a full practice audit?: Study of mammography screening rates in 20 family practices in Ontario.

Graham Swanson, Janusz Kaczorowski

Open access · greenAbstract readComparative StudyValidation Study
In one paragraph

Article in Canadian family physician Medecin de famille canadien, 2008. 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
–field-weighted citation impact, top 83% 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, 0 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

2 authors at 1 institution in 1 country.

Graham SwansonDepartment of Family Medicine, McMaster University, Hamilton, Ont. swansong@mcmaster.ca
Janusz Kaczorowski
McMaster University · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo compare rates of mammography screening among women in family practices, based on a sequential sample of eligible women presenting to the practices during an 8-week period, with rates found in a full audit of all eligible patients.

designChart review.

settingTwenty community-based family practices in south-central Ontario.

participantsFamily physicians and their female patients 52 to 71 years old who had had at least 1 visit to the office during the past 3 years.

interventionEligible patients were sampled by 2 approaches: sequential sampling of patients coming for appointments during an 8-week period and a full practice audit of all eligible women.

main outcome measureMammography rates found using the 2 approaches.

resultsThe mean time-appropriate rate of mammography screening based on the sequential sample was 66.4%. The mean time-appropriate rate of mammography screening for the full practice audit was 58.8%. The sequential sample rate was higher than that of the full audit by 7.6%; differences ranged from -6.5% to 24.9% among practices. Regression analysis indicated a positive and significant correlation between rates based on the data generated by the 2 different approaches (r2 = 0.50).

conclusionA rate of mammography screening based on a sequential sample can reasonably approximate the actual rate of mammography screening that would be found based on a full practice audit.

Indexed as

Family PracticeMammographyMass ScreeningPractice Patterns, Physicians'Sampling StudiesAdultAttitude of Health PersonnelData CollectionFemaleHealth Care SurveysHumansMedical AuditMiddle AgedOntarioPhysician Incentive PlansPhysicians, Family

Identifiers

PMID18854475
PMCPMC2567252
OpenAlexW2126712637

What OpenQuestion holds

Textmetadata
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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.