Evidence map›Paper›PMID 29735477›Full record

ArticleJMIR medical informatics2018

Finding Meaning in Medication Reconciliation Using Electronic Health Records: Qualitative Analysis in Safety Net Primary and Specialty Care.

George Yaccoub Matta, Elaine C Khoong, Courtney R Lyles, Dean Schillinger, Neda Ratanawongsa

Open access · goldAbstract read
In one paragraph

Article in JMIR medical informatics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 34% 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.

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

2 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. 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

5 authors at 2 institutions in 1 country.

George Yaccoub MattaDivision of General Internal Medicine, University of California, San Francisco, San Francisco, CA, United States.ORCID http://orcid.org/0000-0003-1745-8934
Elaine C KhoongDivision of General Internal Medicine, University of California, San Francisco, San Francisco, CA, United States.ORCID http://orcid.org/0000-0002-2514-3572
Courtney R LylesDivision of General Internal Medicine, University of California, San Francisco, San Francisco, CA, United States.ORCID http://orcid.org/0000-0002-1111-8595
Dean SchillingerDivision of General Internal Medicine, University of California, San Francisco, San Francisco, CA, United States.ORCID http://orcid.org/0000-0002-7221-7327
Neda RatanawongsaDivision of General Internal Medicine, University of California, San Francisco, San Francisco, CA, United States.ORCID http://orcid.org/0000-0001-9944-6923
San Francisco General Hospital · USUniversity of California, San Francisco · US

Funding

Translational Research Core - Health Engagement & Action Translational (HEAT)P30DK092924 · NIDDK · KAISER FOUNDATION RESEARCH INSTITUTE · PI Alyce Sophia Adams, HILARY Kessler SELIGMAN · 2011 to 2026
$9.2M
Building an Ambulatory Patient Safety Learning Laboratory for Diverse PopulationsP30HS023558 · AHRQ · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI SARKAR, URMIMALA · 2014 to 2017
$3.9M
The Next Frontier in Diabetes Communication: Promoting Health Literacy in the Era of Secure MessagingR01LM012355 · NLM · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KARTER, ANDREW JOHN, SCHILLINGER, DEAN · 2015 to 2018
$2.8M
Engaging Diverse Patients in Using an Online Patient PortalR00HS022408 · AHRQ · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI LYLES, COURTNEY REES · 2015 to 2017
$740k
Integrating Adherence into a Safety Net EHR Tool to Improve Decision-makingK08HS022561 · AHRQ · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI RATANAWONGSA, NEDA · 2014 to 2017
$621k
AHRQ HHS K08 HS022561AHRQ HHS P30 HS023558AHRQ HHS R00 HS022408NIDDK NIH HHS P30 DK092924NLM NIH HHS R01 LM012355
6 · The paper itself

Abstract

backgroundSafety net health systems face barriers to effective ambulatory medication reconciliation for vulnerable populations. Although some electronic health record (EHR) systems offer safety advantages, EHR use may affect the quality of patient-provider communication.

objectiveThis mixed-methods observational study aimed to develop a conceptual framework of how clinicians balance the demands and risks of EHR and communication tasks during medication reconciliation discussions in a safety net system.

methodsThis study occurred 3 to 16 (median 9) months after new EHR implementation in five academic public hospital clinics. We video recorded visits between English-/Spanish-speaking patients and their primary/specialty care clinicians. We analyzed the proportion of medications addressed and coded time spent on nonverbal tasks during medication reconciliation as "multitasking EHR use," "silent EHR use," "non-EHR multitasking," and "focused patient-clinician talk." Finally, we analyzed communication patterns to develop a conceptual framework.

resultsWe examined 35 visits (17%, 6/35 Spanish) between 25 patients (mean age 57, SD 11 years; 44%, 11/25 women; 48%, 12/25 Hispanic; and 20%, 5/25 with limited health literacy) and 25 clinicians (48%, 12/25 primary care). Patients had listed a median of 7 (IQR 5-12) relevant medications, and clinicians addressed a median of 3 (interquartile range [IQR] 1-5) medications. The median duration of medication reconciliation was 2.1 (IQR 1.0-4.2) minutes, comprising a median of 10% (IQR 3%-17%) of visit time. Multitasking EHR use occurred in 47% (IQR 26%-70%) of the medication reconciliation time. Silent EHR use and non-EHR multitasking occurred a smaller proportion of medication reconciliation time, with a median of 0% for both. Focused clinician-patient talk occurred a median of 24% (IQR 0-39%) of medication reconciliation time. Five communication patterns with EHR medication reconciliation were observed: (1) typical EHR multitasking for medication reconciliation, (2) dynamic EHR use to negotiate medication discrepancies, (3) focused patient-clinician talk for medication counseling and addressing patient concerns, (4) responding to patient concerns while maintaining EHR use, and (5) using EHRs to engage patients during medication reconciliation. We developed a conceptual diagram representing the dilemma of the multitasking clinician during medication reconciliation.

conclusionsSafety net visits involve multitasking EHR use during almost half of medication reconciliation time. The multitasking clinician balances the cognitive and emotional demands posed by incoming information from multiple sources, attempts to synthesize and act on this information through EHR and communication tasks, and adopts strategies of silent EHR use and focused patient-clinician talk that may help mitigate the risks of multitasking. Future studies should explore diverse patient perspectives about clinician EHR multitasking, clinical outcomes related to EHR multitasking, and human factors and systems engineering interventions to improve the safety of EHR use during the complex process of medication reconciliation.

Indexed as

communicationelectronic health recordsmedication reconciliationpatient safetyphysician-patient relations

Identifiers

PMID29735477
PMCPMC5962827
OpenAlexW2800480057

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.