Evidence map›Paper›PMID 35014964›Full record

ArticleJournal of medical Internet research2022

Characterizing Patient-Clinician Communication in Secure Medical Messages: Retrospective Study.

Ming Huang, Jungwei Fan, Julie Prigge, Nilay D Shah, Brian A Costello, Lixia Yao

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

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

  1. Pooled it
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  9. Evaluating the SEND eHealth Application to Improve Patients' Secure Message Writing.Journal of cancer education : the official journal of the American Association for Cancer Education · 2025
    Article
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  13. Using large language model to guide patients to create efficient and comprehensive clinical care message.Journal of the American Medical Informatics Association : JAMIA · 2024
    Article
  14. Article
  15. Use of the patient portal among older adults with diagnosed dementia and their care partners.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2023
    Observational
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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

6 authors.

Ming HuangDepartment of Artificial Intelligence and Informatics, Mayo Clinic, Rochester, MN, United States.ORCID 0000-0001-7367-3626
Jungwei FanDepartment of Artificial Intelligence and Informatics, Mayo Clinic, Rochester, MN, United States.ORCID 0000-0001-6349-3752
Julie PriggeCenter for Connected Care, Mayo Clinic, Rochester, MN, United States.ORCID 0000-0002-4709-4142
Nilay D ShahCenter for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN, United States.ORCID 0000-0002-8597-3447
Brian A CostelloCenter for Connected Care, Mayo Clinic, Rochester, MN, United States.ORCID 0000-0003-1753-5928
Lixia YaoDepartment of Artificial Intelligence and Informatics, Mayo Clinic, Rochester, MN, United States.ORCID 0000-0002-5187-6120

Funding

Mayo Clinic Center for Clinical and Translational Science (CCaTS UL1 Supplement - Dr. Timothy Curry)UL1TR002377 · NCATS · MAYO CLINIC ROCHESTER · PI VESNA D GAROVIC · 2017 to 2026
$78.4M
A research opportunity index to measure biomedical research disparities across the disease landscape.K01LM012102 · NLM · UNIVERSITY OF NORTH CAROLINA CHARLOTTE · PI YAO, LIXIA · 2016 to 2018
$535k
NCATS NIH HHS UL1 TR002377NLM NIH HHS K01 LM012102
6 · The paper itself

Abstract

backgroundPatient-clinician secure messaging is an important function in patient portals and enables patients and clinicians to communicate on a wide spectrum of issues in a timely manner. With its growing adoption and patient engagement, it is time to comprehensively study the secure messages and user behaviors in order to improve patient-centered care.

objectiveThe aim of this paper was to analyze the secure messages sent by patients and clinicians in a large multispecialty health system at Mayo Clinic, Rochester.

methodsWe performed message-based, sender-based, and thread-based analyses of more than 5 million secure messages between 2010 and 2017. We summarized the message volumes, patient and clinician population sizes, message counts per patient or clinician, as well as the trends of message volumes and user counts over the years. In addition, we calculated the time distribution of clinician-sent messages to understand their workloads at different times of a day. We also analyzed the time delay in clinician responses to patient messages to assess their communication efficiency and the back-and-forth rounds to estimate the communication complexity.

resultsDuring 2010-2017, the patient portal at Mayo Clinic, Rochester experienced a significant growth in terms of the count of patient users and the total number of secure messages sent by patients and clinicians. Three clinician categories, namely "physician-primary care," "registered nurse-specialty," and "physician-specialty," bore the majority of message volume increase. The patient portal also demonstrated growing trends in message counts per patient and clinician. The "nurse practitioner or physician assistant-primary care" and "physician-primary care" categories had the heaviest per-clinician workload each year. Most messages by the clinicians were sent from 7 AM to 5 PM during a day. Yet, between 5 PM and 7 PM, the physicians sent 7.0% (95,785/1,377,006) of their daily messages, and the nurse practitioner or physician assistant sent 5.4% (22,121/408,526) of their daily messages. The clinicians replied to 72.2% (1,272,069/1,761,739) patient messages within 1 day and 90.6% (1,595,702/1,761,739) within 3 days. In 95.1% (1,499,316/1,576,205) of the message threads, the patients communicated with their clinicians back and forth for no more than 4 rounds.

conclusionsOur study found steady increases in patient adoption of the secure messaging system and the average workload per clinician over 8 years. However, most clinicians responded timely to meet the patients' needs. Our study also revealed differential patient-clinician communication patterns across different practice roles and care settings. These findings suggest opportunities for care teams to optimize messaging tasks and to balance the workload for optimal efficiency.

Indexed as

MedicinePatient PortalsCommunicationHumansPatient ParticipationRetrospective Studiesmessage roundpatient-clinician communicationpatient portalresponse timesecure messageworkload

Identifiers

PMID35014964
PMCPMC8790696

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.