Evidence map›Paper›PMID 34385217›Full record

ArticleCanadian family physician Medecin de famille canadien2021

"Meet and greets" in family practice: Who, why, and to what end?

Victoria Smith, Emily Gard Marshall

Abstract read
In one paragraph

Article in Canadian family physician Medecin de famille canadien, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
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.

Victoria SmithResident in the Department of General Surgery at Dalhousie University in Halifax, NS.
Emily Gard MarshallAssociate Professor in the Department of Family Medicine at Dalhousie University. Emily.Marshall@dal.ca.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo understand physician acceptance of new patients, specifically the use of "meet and greets"; and to explore FPs' rationale, beliefs, and processes regarding these appointments.

designExploratory qualitative interviews.

settingNova Scotia.

participantsA purposive sample of 12 FPs who had previously participated in the Models and Access to Primary Care Providers in Nova Scotia study.

methodsIn-depth, semistructured, 1-on-1 qualitative interviews. Interview transcripts were coded using Atlas.ti and analyzed for typologies and common themes regarding accepting practices. MAIN

findingsFour typologies of accepting practices emerged: no form of meet and greet; nonscreening meet and greet to gather a history; meet and greet to assess alignment of patient needs and provider scope; and meet and greet to screen out undesirable patients. Typology 1 was subdivided: accepting first-come, first-served and accepting with previous patient knowledge. Rationale for each varied. Family physicians employing typologies 1 and 2 emphasized the importance of equitable access to primary care. Family physicians employing typologies 3 and 4 highlighted the challenges of meeting the needs of specific populations within the context of professional and systemic constraints.

conclusionMeet and greets before accepting new patients are purposed differently across providers. Some FPs incorporate these meetings ethically; others present challenges to the principles of equity and nondiscrimination. Policy implications exist for how providers admit new patients and what resources might support more equitable access.

Indexed as

Family PracticePhysicians, FamilyAppointments and SchedulesHumansNova ScotiaPrimary Health CareQualitative Research

Identifiers

PMID34385217
PMCPMC9683423

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.