Evidence map›Paper›PMID 32648555›Full record

ArticleJournal of medical Internet research2020

Communication Behavior Changes Between Patients With Diabetes and Healthcare Providers Over 9 Years: Retrospective Cohort Study.

Arriel Benis, Refael Barak Barkan, Tomer Sela, Nissim Harel

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

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

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  9. One Digital Health for more FAIRness.Methods of information in medicine · 2022
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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

4 authors.

Arriel BenisFaculty of Technology Management, Holon Institute of Technology, Holon, Israel.ORCID 0000-0002-9125-8300
Refael Barak BarkanFaculty of Sciences, Holon Institute of Technology, Holon, Israel.ORCID 0000-0002-7119-6317
Tomer SelaOnline Division, Clalit Health Services, Tel-Aviv, Israel.ORCID 0000-0002-8673-3875
Nissim HarelFaculty of Sciences, Holon Institute of Technology, Holon, Israel.ORCID 0000-0001-6633-890X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHealth organizations and patients interact over different communication channels and are harnessing digital communications for this purpose. Assisting health organizations to improve, adapt, and introduce new patient-health care practitioner communication channels (such as patient portals, mobile apps, and text messaging) enhances health care services access.

objectiveThis retrospective data study aims to assist health care administrators and policy makers to improve and personalize communication between patients and health care professionals by expanding the capabilities of current communication channels and introducing new ones. Our main hypothesis is that patient follow-up and clinical outcomes are influenced by their preferred communication channels with the health care organization.

methodsThis study analyzes data stored in electronic medical records and logs documenting access to various communication channels between patients and a health organization (Clalit Health Services, Israel). Data were collected between 2008 and 2016 from records of 311,168 patients diagnosed with diabetes, aged 21 years and over, members of Clalit at least since 2007, and still alive in 2016. The analysis consisted of characterizing the use profiles of communication channels over time and used clustering for discretization purposes and patient profile building and then a hierarchical clustering and heatmaps to visualize the different communication profiles.

resultsA total of 13 profiles of patients were identified and characterized. We have shown how the communication channels provided by the health organization influence the communication behavior of patients. We observed how different patients respond differently to technological means of communication and change or don't change their communication patterns with the health care organization based on the communication channels available to them.

conclusionsIdentifying the channels of communication within the health organization and which are preferred by each patient creates an opportunity to convey messages adapted to the patient in the most appropriate way. The greater the likelihood that the therapeutic message is received by the patient, the greater the patient's response and proactiveness to the treatment will be. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.2196/10734.

Indexed as

CommunicationAgedCohort StudiesDiabetes MellitusFemaleHealth PersonnelHumansMaleMiddle AgedPatient PortalsRetrospective StudiesTime Factorsclusteringconsumer health informaticsdelivery of health careeHealthmachine learningmHealthphysician-patient relationspoint-of-care systemspopulation characteristicsquality of health care

Identifiers

PMID32648555
PMCPMC7448191

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LicenceCC BY
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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.