Evidence map›Paper›PMID 28684387›Full record

ArticleJMIR research protocols2017

Sharing Annotated Audio Recordings of Clinic Visits With Patients-Development of the Open Recording Automated Logging System (ORALS): Study Protocol.

Paul J Barr, Michelle D Dannenberg, Craig H Ganoe, William Haslett, Rebecca Faill, Saeed Hassanpour, Amar Das, Roger Arend, Meredith C Masel, Sheryl Piper and 3 more

Open access · goldAbstract read
In one paragraph

Article in JMIR research protocols, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
4.8field-weighted citation impact, top 5% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 29 citations in OpenAlex.

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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

13 authors at 3 institutions in 1 country.

Paul J BarrThe Dartmouth Institute for Health Policy and Clinical Practice, Geisel School of Medicine, Dartmouth College, Lebanon, NH, United States.ORCID http://orcid.org/0000-0002-6868-7625
Michelle D DannenbergThe Dartmouth Institute for Health Policy and Clinical Practice, Geisel School of Medicine, Dartmouth College, Lebanon, NH, United States.ORCID http://orcid.org/0000-0002-4842-2443
Craig H GanoeDepartment of Biomedical Data Science, Geisel School of Medicine, Dartmouth College, Lebanon, NH, United States.ORCID http://orcid.org/0000-0001-6994-1720
William HaslettDepartment of Biomedical Data Science, Geisel School of Medicine, Dartmouth College, Lebanon, NH, United States.ORCID http://orcid.org/0000-0002-6221-0850
Rebecca FaillDepartment of Biomedical Data Science, Geisel School of Medicine, Dartmouth College, Lebanon, NH, United States.ORCID http://orcid.org/0000-0002-0296-1644
Saeed HassanpourDepartment of Biomedical Data Science, Geisel School of Medicine, Dartmouth College, Lebanon, NH, United States.ORCID http://orcid.org/0000-0001-9460-6414
Amar DasThe Dartmouth Institute for Health Policy and Clinical Practice, Geisel School of Medicine, Dartmouth College, Lebanon, NH, United States.ORCID http://orcid.org/0000-0003-3556-0844
Roger ArendPatient Partner, Hanover, NH, United States.ORCID http://orcid.org/0000-0003-4237-0539
Meredith C MaselOliver Center for Patient Safety and Quality Healthcare, University of Texas Medical Branch, Galveston, TX, United States.ORCID http://orcid.org/0000-0002-5130-7112
Sheryl PiperPatient Partner, Ludington, MI, United States.ORCID http://orcid.org/0000-0003-0810-6822
Haley ReicherDartmouth College, Hanover, NH, United States.ORCID http://orcid.org/0000-0001-7290-5149
James RyanRyan Family Practice, Ludington, MI, United States.ORCID http://orcid.org/0000-0002-0539-7962
Glyn ElwynThe Dartmouth Institute for Health Policy and Clinical Practice, Geisel School of Medicine, Dartmouth College, Lebanon, NH, United States.ORCID http://orcid.org/0000-0002-0917-6286
Dartmouth College · USHanover College · USThe University of Texas Medical Branch at Galveston · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundProviding patients with recordings of their clinic visits enhances patient and family engagement, yet few organizations routinely offer recordings. Challenges exist for organizations and patients, including data safety and navigating lengthy recordings. A secure system that allows patients to easily navigate recordings may be a solution.

objectiveThe aim of this project is to develop and test an interoperable system to facilitate routine recording, the Open Recording Automated Logging System (ORALS), with the aim of increasing patient and family engagement. ORALS will consist of (1) technically proficient software using automated machine learning technology to enable accurate and automatic tagging of in-clinic audio recordings (tagging involves identifying elements of the clinic visit most important to patients [eg, treatment plan] on the recording) and (2) a secure, easy-to-use Web interface enabling the upload and accurate linkage of recordings to patients, which can be accessed at home.

methodsWe will use a mixed methods approach to develop and formatively test ORALS in 4 iterative stages: case study of pioneer clinics where recordings are currently offered to patients, ORALS design and user experience testing, ORALS software and user interface development, and rapid cycle testing of ORALS in a primary care clinic, assessing impact on patient and family engagement. Dartmouth's Informatics Collaboratory for Design, Development and Dissemination team, patients, patient partners, caregivers, and clinicians will assist in developing ORALS.

resultsWe will implement a publication plan that includes a final project report and articles for peer-reviewed journals. In addition to this work, we will regularly report on our progress using popular relevant Tweet chats and online using our website, www.openrecordings.org. We will disseminate our work at relevant conferences (eg, Academy Health, Health Datapalooza, and the Institute for Healthcare Improvement Quality Forums). Finally, Iora Health, a US-wide network of primary care practices (www.iorahealth.com), has indicated a willingness to implement ORALS on a larger scale upon completion of this development project.

conclusionsUpon the completion of this project we will have developed a novel recording system that will be ready for large-scale testing. Our long-term goal is for ORALS to seamlessly fit into a clinic's and patient's daily routine, increasing levels of patient engagement and transparency of care.

Indexed as

audiovisual aidscaregiversdisease managementmachine learningpatient engagementpatients

Identifiers

PMID28684387
PMCPMC5519830
OpenAlexW2730757102

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.