Evidence map›Paper›PMID 32322355›Full record

ArticleJournal of graduate medical education2020

Enhanced Scheduling Support to Improve Continuity of Care in a Resident Training Clinic.

Nancy A LaVine, Daniel J Coletti, Jennifer Verbsky, Lauren Block

Abstract read
In one paragraph

Article in Journal of graduate medical education, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  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

4 authors.

Nancy A LaVine
Daniel J Coletti
Jennifer Verbsky
Lauren Block

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundClinical continuity is recognized as a driver of satisfaction for patients and physicians. Greater continuity may positively affect trainee decisions to enter primary care. Maintaining clinical continuity remains a challenge in residency clinics.

objectiveWe determined whether enhanced scheduling support was associated with improvement in internal medicine resident continuity with patients.

methodsThis study was conducted from June 2017 to December 2018. In the intervention clinic, a single scheduling staff member (ratio of 10 residents to 1 scheduler) was colocated within the clinical space, allowing the scheduler to participate in clinical discussions and direct communication with physicians regarding future appointments. In the comparison clinic, scheduling staff (19:1 ratio) were located at a remote front desk area and relied on patient reports or electronic health record orders to identify appointment needs and arrange follow-up appointments. The main outcome of the intervention was resident continuity, calculated using the continuity for physician formula.

resultsDuring the study period, mean resident continuity was 23% (range 13%-37%) in the comparison clinic (57 residents) and 54% (range 38%-66%) in the intervention clinic (10 residents). Resident continuity was significantly higher in the intervention clinic compared with the traditional control clinic for every quarter measured (

conclusionsEnhancing scheduling support through colocation and a lower resident to scheduler ratios was associated with significantly higher rates of resident continuity compared with a traditional front desk model, with results sustained over 18 months.

Indexed as

Appointments and SchedulesContinuity of Patient CareAmbulatory Care FacilitiesFemaleHumansInternal MedicineInternship and ResidencyMaleMiddle AgedPrimary Health CareWorkload

Identifiers

PMID32322355
PMCPMC7161326

What OpenQuestion holds

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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.