Evidence map›Paper›PMID 36944522›Full record

ArticleCanadian family physician Medecin de famille canadien2023

Timely access to primary care in New Brunswick: Variability across health regions.

Véronique Manuel, Iva Bien-Aimé, Éric Boutot, Jérémie B Dupuis, Claire Johnson

Abstract read
In one paragraph

Article in Canadian family physician Medecin de famille canadien, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

5 authors.

Véronique ManuelStudent in the Graduate School of Public Studies at the University of Moncton in New Brunswick.
Iva Bien-AiméStudent in the Graduate School of Public Studies at the University of Moncton in New Brunswick.
Éric BoutotStudent in the Graduate School of Public Studies at the University of Moncton in New Brunswick.
Jérémie B DupuisInstitutional researcher with the Vice Chancellor in charge of research and teaching at the University of Moncton.
Claire JohnsonAssistant Professor in the Graduate School of Public Studies at the University of Moncton.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo examine the factors that influence variation in timely access to primary care across the different health regions in New Brunswick.

designDescriptive and comparative study of organizational practices in primary care practices based on speed of access. Data were collected from December 2019 to March 2020 using semistructured interviews conducted by telephone, in person, or online, according to participants' preferences.

settingNew Brunswick.

participantsParticipants were primary care providers. Two types of regions were targeted: those with a higher proportion of citizens with timely access to primary care (regions with faster access) and those with less timely access (regions with slower access). A sample of 27 participants was used.

main outcome measuresOrganizational practices (ie, new technologies, team-based health services, performance measurement, method of appointment booking, and physician remuneration model) according to prevalence of timely access.

resultsParticipants in regions with faster access measured their performance more often (45.5% vs 12.5%,

conclusionThis study found that performance measurements and other organizational practices are favourably linked to timely access to primary care.

Indexed as

Access to Primary CareHealth Services AccessibilityAppointments and SchedulesHumansNew BrunswickTelephone

Identifiers

PMID36944522
PMCPMC10030129

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.