Evidence map›Paper›PMID 28624066›Full record

ArticleThe Journal of surgical research2017

Complexity of medical decision-making in care provided by surgeons through patient portals.

Jamie R Robinson, Alissa Valentine, Cathy Carney, Daniel Fabbri, Gretchen P Jackson

Abstract read
In one paragraph

Article in The Journal of surgical research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
8.6field-weighted citation impact, top 3% 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

15 citing papers in PubMed, 29 citations in OpenAlex.

  1. The Effects of a Theory-Based Patient Portal e-Learning Program for Older Adults with Chronic Illnesses.Telemedicine journal and e-health : the official journal of the American Telemedicine Association · 2019
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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

5 authors at 2 institutions in 1 country.

Jamie R RobinsonDepartment of Pediatric Surgery, Vanderbilt Children's Medical Center, Nashville, Tennessee; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee. Electronic address: jamie345@gmail.com.
Alissa ValentineSurgical Outcomes Center for Kids, Vanderbilt Children's Medical Center, Nashville, Tennessee.
Cathy CarneyDepartment of Pediatric Surgery, Vanderbilt Children's Medical Center, Nashville, Tennessee.
Daniel FabbriDepartment of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee; Department of Computer Science, Vanderbilt University Medical Center, Nashville, Tennessee.
Gretchen P JacksonDepartment of Pediatric Surgery, Vanderbilt Children's Medical Center, Nashville, Tennessee; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee; Department of Pediatrics, Vanderbilt Children's Medical Center, Nashville, Tennessee.
Children's Medical Center · USVanderbilt University Medical Center · US

Funding

Vanderbilt Biomedical Informatics Training ProgramT15LM007450 · NLM · VANDERBILT UNIVERSITY · PI Jessica S. Ancker, Bradley A. Malin · 2002 to 2026
$19.7M
NLM NIH HHS T15 LM007450
6 · The paper itself

Abstract

backgroundPatient portals are online applications that allow patients to interact with healthcare organizations and view information. Portal messages exchanged between patients and providers contain diverse types of communications, including delivery of medical care. The types of communications and complexity of medical decision-making in portal messages sent to surgeons have not been studied. MATERIALS AND

methodsWe obtained all message threads initiated by patients and exchanged with surgical providers through the Vanderbilt University Medical Center patient portal from June 1 to December 31, 2014. Five hundred randomly selected messages were manually analyzed by two research team members to determine the types of communication (i.e., informational, medical, logistical, or social), whether medical care was delivered, and complexity of medical decision-making as defined for outpatient billing in each message thread.

resultsA total of 9408 message threads were sent to 401 surgical providers during the study period. In the 500 threads selected for detailed analysis, 1293 distinct issues were communicated, with an average of 2.6 issues per thread. Medical needs were communicated in 453 message threads (90.6%). Further, 339 message threads (67.8%) contained medical decision-making. Overall complexity of medical decision-making was straightforward in 210 messages (62%), low in 102 messages (30%), and moderate in 27 messages (8%). No highly complex decisions were made over portal messaging.

conclusionsThrough patient portal messages, surgeons deliver substantial medical care with varied levels of medical complexity. Models for compensation of online care must be developed as consumer and surgeon adoption of these technologies increases.

Indexed as

Clinical Decision-MakingPatient PortalsPhysician-Patient RelationsSurgeonsAdolescentAdultAgedAged, 80 and overChildChild, PreschoolDelivery of Health CareFemaleHumansInfantInfant, NewbornMaleConsumer health informaticsEvaluation and management billingHealth information technologyPatient portal

Identifiers

PMID28624066
PMCPMC5474935
OpenAlexW2592205020

What OpenQuestion holds

Textmetadata
LicenceTDM
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.