Evidence map›Paper›PMID 31520229›Full record

ArticleJournal of general internal medicine2019

Variation in Patient Experience Across the Clinic Day: a Multilevel Assessment of Four Primary Care Practices.

Lindsey M Philpot, Bushra A Khokhar, Jordan K Rosedahl, Tiffany A Sinclair, Rajeev Chaudhry, Jon O Ebbert

Registry-linked trialOpen access · bronzeAbstract readMulticenter Study
In one paragraph

Article in Journal of general internal medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07580482 (The Referral to Hepatology Can be Improved Through an Electronic Medical Record), which is not on this map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 14% of its field
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.

NCT07580482 nacompletednot on this mapstarted 2020, after this paper: background citation

The Referral to Hepatology Can be Improved Through an Electronic Medical Record (EMR)-Based Best Practice Alert (BPA) for an Appropriate Referral

TypeinterventionalSponsorUniversity of Kansas Medical CenterRan2020 to 2022Enrolled30ConditionsLiver Diseases, Liver Fat, Diabetes Mellitus, Type 2, Non-Alcoholic SteatohepatitisArmsBest Practice Alert, No Intervention
3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Is a switch to a different electronic health record associated with a change in patient satisfaction?Journal of the American Medical Informatics Association : JAMIA · 2020
    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

6 authors at 2 institutions in 1 country.

Lindsey M PhilpotRobert D. and Patricia E. Kern Mayo Clinic Center for the Science of Health Care Delivery,, Mayo Clinic, Rochester, MN, USA. philpot.lindsey@mayo.edu.
Bushra A KhokharRobert D. and Patricia E. Kern Mayo Clinic Center for the Science of Health Care Delivery,, Mayo Clinic, Rochester, MN, USA.
Jordan K RosedahlRobert D. and Patricia E. Kern Mayo Clinic Center for the Science of Health Care Delivery,, Mayo Clinic, Rochester, MN, USA.
Tiffany A SinclairRobert D. and Patricia E. Kern Mayo Clinic Center for the Science of Health Care Delivery,, Mayo Clinic, Rochester, MN, USA.
Rajeev ChaudhryRobert D. and Patricia E. Kern Mayo Clinic Center for the Science of Health Care Delivery,, Mayo Clinic, Rochester, MN, USA.
Jon O EbbertRobert D. and Patricia E. Kern Mayo Clinic Center for the Science of Health Care Delivery,, Mayo Clinic, Rochester, MN, USA.
Mayo Clinic in Arizona · USMayo Clinic · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPatient satisfaction with healthcare is associated with clinical outcomes, provider satisfaction, and success of healthcare organizations. As the clinic day progresses, provider fatigue, deterioration with communication within the care team, and appointment spillover may decrease patient experience.

objectiveTo understand the relationship between likelihood to recommend a primary care practice and scheduled appointment time across multiple practice settings.

designRetrospective cohort.

participantsA retrospective cohort was created of all patients seen within four primary care practices between July 1, 2016, and September 30, 2017. MAIN MEASURES: We looked at scheduled appointment time against patient likelihood to recommend a practice as a measure of overall patient experience collected routinely for clinical practice improvement by the Press Ganey Medical Practice Survey®. Adjusted mixed effects logistic regression models were created to understand the relationship between progressing appointment time on patient likelihood to recommend a practice. We constructed locally weighted smoothing (LOESS) curves to understand how reported patient experience varied over the clinic day.

resultsWe had a response rate of 14.0% (n = 3172), 80.2% of whom indicated they would recommend our practice to others. Appointment time scheduling during the last hour (4:00-4:59 PM) had a 45% lower odds of recommending our practice when compared to the first clinic hour (adjusted OR = 0.55, 95% CI 0.35-0.86) which is similar when controlling for patient-reported wait time (aOR = 0.59, 95% CI 0.37-0.95). LOESS plots demonstrated declining satisfaction with subsequent appointment times compared with the first session hour, with no effect just after the lunch hour break.

conclusionsIn primary care, appointment time of day is associated with patient-reported experience.

Indexed as

AgedAged, 80 and overFemaleHumansMaleMiddle AgedOffice VisitsPatient SatisfactionPrimary Health CareRetrospective StudiesSurveys and QuestionnairesTime Factorsappointment timecare team communicationpatient experienceprimary caresurveysteamwork

Identifiers

PMID31520229
PMCPMC6848585
OpenAlexW2973195182

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.