Evidence map›Paper›PMID 39420365›Full record

ArticleInternational journal for equity in health2024

Profiling patterns of patient experiences of access and continuity at team-based primary healthcare clinics (Canada): a latent class analysis.

Nadia Deville-Stoetzel, Isabelle Gaboury, Djamal Berbiche, Mylaine Breton

Abstract read
In one paragraph

Article in International journal for equity in health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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

4 authors.

Nadia Deville-StoetzelDepartment of Community Health, Université de Sherbrooke, 150 Place Charles-Le Moyne, Room 200, Longueuil CampusLongueuil, QC, J4K 0A8, Canada. nadia.deville-stoetzel@usherbrooke.ca.
Isabelle GabouryDepartment of Family Medicine and Emergency Medicine, Université de Sherbrooke, Longueuil, QC, Canada.
Djamal BerbicheDepartment of Community Health, Université de Sherbrooke, 150 Place Charles-Le Moyne, Room 200, Longueuil CampusLongueuil, QC, J4K 0A8, Canada.
Mylaine BretonDepartment of Community Health, Université de Sherbrooke, 150 Place Charles-Le Moyne, Room 200, Longueuil CampusLongueuil, QC, J4K 0A8, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAccess to primary healthcare services is a core lever for reducing health inequalities. Population groups living with certain individual social characteristics are disproportionately more likely to experience barriers accessing care. This study identified profiles of access and continuity experiences of patients registered with a family physician working in team-based primary healthcare clinics and explored the associations of these profiles with individual and organizational characteristics.

methodsA cross-sectional e-survey was conducted between September 2022 and April 2023. All registered adult patients with an email address at 104 team-based primary healthcare clinics in Quebec were invited to participate. Latent class analysis was used to identify patient profiles based on nine components of access to care and continuity experiences. Multinomial logistic regression models were fit to analyze each profile's association with ten characteristics related to individual sociodemographics, perceived heath status, chronic conditions and two related to clinic area and size.

resultsBased on 87,155 patients who reported on their experience, four profiles were identified. "Easy access and continuity" (42% of respondents) was characterized by ease in almost all access and continuity components. Three profiles were characterized by diverging access and/or continuity difficulties. "Challenging booking" (32%) was characterized by patients having to try several times to obtain an appointment at their clinic. "Challenging continuity" (9%) was characterized by patients having to repeat information that should have been in their file. "Access and continuity barriers" (16%) was characterized by difficulties with all access and continuity components. Female gender and poor perceived health significantly increased the risk of belonging to the three profiles associated with difficulties by 1.5. Being a recently arrived immigrant (p = 0.036), having less than a high school education (p = 0.002) and being registered at a large clinic (p < 0.001) were associated with experiencing booking difficulties. Having at least one chronic condition (p = 0.004) or poor perceived mental health (p = 0.048) were associated with experiencing continuity difficulties.

conclusionsThese results highlight individual social and health characteristics associated with increased risk of experiencing healthcare access difficulties, such as immigration status and education level and/or continuity difficulties when having a chronic condition and poor perceived mental health. Facilitating appointment booking for recently arrived immigrants and patients with low education, integrating interprofessional collaboration practices for patients with chronic conditions and improving care coordination and communication for patients with mental health needs are recommended.

Indexed as

Continuity of Patient CareHealth Services AccessibilityLatent Class AnalysisPrimary Health CareAdolescentAdultAgedCross-Sectional StudiesFemaleHumansMaleMiddle AgedPatient SatisfactionQuebecSurveys and QuestionnairesYoung AdultEquitable accessLatent class analysisPatient reported experience measurePrimary healthcareSurvey

Identifiers

PMID39420365
PMCPMC11484365

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.