Evidence map›Paper›PMID 40827690›Full record

ArticleJournal of primary care & community health

Reducing Internally Generated Demand Through Scheduled Communication Time in a Remote Salaried Family Medicine Clinic.

Sam Seshadri, Jake Reaser, Jeffrey Dc Irvine

Abstract readEvaluation Study
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
–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

0 citing papers in PubMed.

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.

Sam SeshadriCollege of Medicine, University of Saskatchewan, Canada.
Jake ReaserCollege of Medicine, University of Saskatchewan, Canada.
Jeffrey Dc IrvineNorthern Medical Services, Department of Family Medicine, College of Medicine, University of Saskatchewan, Canada.ORCID 0009-0000-4391-9904

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn salaried primary care systems, internally generated demand, such as physician-initiated recalls, can limit timely access for other patients.

objectiveTo evaluate whether reserving protected time for unscheduled physician phone calls decreases recall appointment volume.

designA quality improvement intervention with a before-and-after analysis.

settingA salaried family medicine clinic in northern Saskatchewan.

participantsAll clinic patients recalled for visits between October 2024 and February 2025 (1005 recalls).

interventionA daily 30-min block was reserved in each physician's morning schedule for discretionary phone-based follow-up. MAIN MEASURES: Total number of recalls, recall reasons, and patient demographics before and after implementation. KEY

resultsRecall appointments dropped by 28.7%, particularly those related to bloodwork, imaging, and specialist communication. However, the time invested in protected communication slots exceeded the time saved from reduced recalls, suggesting a shift in physician workload rather than an overall reduction.

conclusionAllocating protected communication time may support more flexible follow-up and improve task completion efficiency, but does not appear to meaningfully expand physician appointment access.

Indexed as

Appointments and SchedulesFamily PracticeHealth Services Needs and DemandPractice Patterns, Physicians'Primary Health CareCommunicationEfficiency, OrganizationalHumansPhysician-Patient RelationsQuality ImprovementSalaries and Fringe BenefitsSaskatchewanTime Factorsaccess to careappointments and schedulescommunity healthcontinuity of patient carepatient-centerednesspatient preferencepractice managementprimary carequality improvementrural health

Identifiers

PMID40827690
PMCPMC12365465

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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.