Evidence map›Paper›PMID 20516427›Full record

ArticleMayo Clinic proceedings2010

Pilot study of providing online care in a primary care setting.

Steven C Adamson, John W Bachman

Open access · bronzeAbstract read
In one paragraph

Article in Mayo Clinic proceedings, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 9 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 9 pooled it
13.4field-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.

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

35 citing papers in PubMed, 9 syntheses or guidelines pooled it, 103 citations in OpenAlex.

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  19. The impact of e-visits on patient access to primary care.Health care management science · 2018
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Steven C AdamsonDepartment of Family Medicine, Mayo Clinic, Rochester, MN 55905, USA. bachman.john@mayo.edu
John W Bachman
Mayo Clinic in Arizona · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo study the use of e-visits in a primary care setting. PATIENTS AND

methodsA pilot study of using the Internet for online care ("e-visits") was conducted in the Department of Family Medicine at Mayo Clinic in Rochester, MN. Patients in the department preregistered for the service, and then were able to use the online portal for consultations with their primary care physician. Use of the online portal was monitored and data were collected from November 1, 2007, through October 31, 2009.

resultsDuring the 2-year period, 4282 patients were registered for the service. Patients made 2531 online visits, and billings were made for 1159 patients. E-visits were submitted primarily by women during working hours and involved 294 different conditions. Of the 2531 e-visits, 62 (2%) included uploaded photographs, and 411 (16%) replaced nonbillable telephone protocols with billable encounters. The e-visits made office visits unnecessary in 1012 cases (40%); in 324 cases (13%), the patient was asked to schedule an appointment for a face-to-face encounter.

conclusionAlthough limited in scope, to our knowledge this is the largest study of online visits in primary care using a structured history, allowing the patient to enter any problem, and billing the patient when appropriate. The extent of conditions possible for treatment by online care was far-ranging and was managed with a minimum of message exchanges by using structured histories. Processes previously given as a free service or by nurse triage and subject to malpractice (protocols) were now documented and billed.

Indexed as

Online SystemsAppointments and SchedulesMinnesotaPatient Credit and CollectionPilot ProjectsPrimary Health Care

Identifiers

PMID20516427
PMCPMC2912730
OpenAlexW2050299738

What OpenQuestion holds

Textmetadata
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.