Evidence map›Paper›PMID 32241765›Full record

ArticleBMJ open quality2020

Partnering with patients to improve access to primary care.

Sam Davie, Tara Kiran

Abstract read
In one paragraph

Article in BMJ open quality, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
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  5. Review
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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.

Sam DavieDepartment of Family and Community Medicine, St. Michael's Hospital, Toronto, Ontario, Canada samantha.davie@unityhealth.to.
Tara KiranDepartment of Family and Community Medicine, St. Michael's Hospital, Toronto, Ontario, Canada.ORCID 0000-0002-2520-112X

Funding

CIHR
6 · The paper itself

Abstract

Continuity and timely access are hallmarks of high-quality primary care and are important considerations for urgent concerns that present both during the day and after-hours. It can be especially difficult to ensure continuity of primary care after-hours in urban settings where walk-in clinics offer patients easy and convenient access. Patients of our large, multisite primary care practice in inner-city Toronto, Canada were reporting that they were not easily able to access after-hours care from their team without having to use outside services. In partnership with patients, we combined the Model for Improvement with Experience-Based Design methodology to address the issue of poor access to after-hours care. We did a root cause analysis to isolate the causes of the local problem, using a variety of capture tools designed to incorporate the patient voice. Then, patients and providers codesigned two Plan-Do-Study-Act (PDSA) cycles aimed to increase the ease of accessing after-hours care. Key actions included a redesign of our after-hours advertisement and communication of the material in multiple formats. Following these PDSA cycles, the team saw a 26%, 23% and 17% increase in awareness of weekday evening clinics, weekend clinics and after-hours phone services, respectively, and a 16% increase in the proportion of patients reporting that it was very or somewhat easy to get care during the evening, on the weekend or on a holiday from their care team. Measures continued to improve and improvements have been sustained 3 years later. Our success highlights the effectiveness of partnering with patients to improve access to primary care.

Indexed as

Ambulatory Care FacilitiesContinuity of Patient CareHealth Services AccessibilityHumansOntarioPatient ParticipationPrimary Health Carecontinuity of patient carecontinuous quality improvementPDSAquality improvement methodologiesquality measurement

Identifiers

PMID32241765
PMCPMC7170539

What OpenQuestion holds

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LicenceCC BY-NC
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.