Evidence map›Paper›PMID 28337690›Full record

Observational studyJournal of general internal medicine2017

Using Active Choice Within the Electronic Health Record to Increase Influenza Vaccination Rates.

Mitesh S Patel, Kevin G Volpp, Dylan S Small, Craig Wynne, Jingsan Zhu, Lin Yang, Steven Honeywell, Susan C Day

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

Observational study in Journal of general internal medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04660032 (Randomized Evaluation of Hypertensive Moms), which is not on this map. Cited by 57 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed, 7 pooled it
15.6field-weighted citation impact, top 1% 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.

NCT04660032 nacompletednot on this mapstarted 2021, after this paper: background citation

Randomized Evaluation of Hypertensive Moms: Interventional Nudge to Drive Transitions of Care

TypeinterventionalSponsorUniversity of PennsylvaniaRan2021 to 2023Enrolled224ConditionsPreeclampsia, Preeclampsia Severe, Gestational Hypertension, Hypertensive Disorder of PregnancyArmsNudge
3 · Its place in the literature

Who cites it

57 citing papers in PubMed, 7 syntheses or guidelines pooled it, 99 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 1 country.

Mitesh S PatelPerelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA. mpatel@upenn.edu.
Kevin G VolppPerelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Dylan S SmallThe Wharton School, University of Pennsylvania, Philadelphia, PA, USA.
Craig WynnePerelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Jingsan ZhuPerelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Lin YangPerelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Steven HoneywellPerelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Susan C DayPerelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
University of Pennsylvania · USUniversity of Pennsylvania Health System · US

Funding

The Penn Roybal Center on Behavioral Economics and Health: Solving for Scale and Impact with Design Thinking, Digital Platforms, and Dynamic AdaptationP30AG034546 · NIA · UNIVERSITY OF PENNSYLVANIA · PI Alison Meredith Buttenheim · 2009 to 2026
$10.6M
NIA NIH HHS P30 AG034546
6 · The paper itself

Abstract

backgroundDespite the benefits of influenza vaccination, each year more than half of adults in the United States do not receive it.

objectiveTo evaluate the association between an active choice intervention in the electronic health record (EHR) and changes in influenza vaccination rates.

designObservational study. PATIENTS: Adults eligible for influenza vaccination with a clinic visit at one of three internal medicine practices at the University of Pennsylvania Health System between September 2010 and March 2013.

interventionThe EHR confirmed patient eligibility during the clinic visit and, upon accessing the patient chart, prompted the physician and their medical assistant to actively choose to "accept" or "cancel" an order for the influenza vaccine. MAIN MEASURES: Change in influenza vaccination order rates at the intervention practice compared to two control practices for the 2012-2013 flu season, comparing trends during the prior two flu seasons adjusting for time trends and patient and clinic visit characteristics. KEY

resultsThe sample (n = 45,926 patients) was 62.9% female, 35.9% white, and 54.4% black, with a mean age of 50.2 years. Trends were similar between practices during the 2 years in the pre-intervention period. Vaccination rates increased in both groups in the post-intervention year, but the intervention practice using active choice had a significantly greater increase than the control (adjusted difference-in-difference: 6.6 percentage points; 95% CI, 5.1-8.1; P < 0.001), representing a 37.3% relative increase compared to the pre-intervention period. More than 99.9% (9938/9941) of orders placed during the study period resulted in vaccination.

conclusionsActive choice through the EHR was associated with a significant increase in influenza vaccination rates.

Indexed as

Choice BehaviorAdultAgedElectronic Health RecordsFemaleHumansInfluenza, HumanInfluenza VaccinesMaleMiddle AgedPatient ParticipationRandom AllocationVaccinationInfluenza Vaccinesactive choicebehavioral economicschoice architectureelectronic health recordinfluenza vaccinationnudgephysician behavior

Identifiers

PMID28337690
PMCPMC5481246
OpenAlexW2599946081

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.