Evidence map›Paper›PMID 31094332›Full record

ArticleJMIR diabetes2019

Text Messaging and Type 1 Diabetes Management: Qualitative Study Exploring Interactions Among Patients and Health Care Professionals.

Francesco Miele, Silvia Clementi, Renzo Gennaro, Ilaria Nicolao, Tiziana Romanelli, Katja Speese, Enrico Maria Piras

Abstract read
In one paragraph

Article in JMIR diabetes, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–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

4 citing papers in PubMed.

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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

7 authors.

Francesco Miele *e-Health Research Unit, Bruno Kessler Foundation, Trento, Italy.ORCID http://orcid.org/0000-0003-1337-9112
Silvia ClementiAzienda Provinciale per i Servizi Sanitari, Diabetes Center, Trento, Italy.ORCID http://orcid.org/0000-0002-2996-6242
Renzo GennaroAzienda Provinciale per i Servizi Sanitari, Diabetes Center, Rovereto, Italy.ORCID http://orcid.org/0000-0002-1989-066X
Ilaria NicolaoAzienda Provinciale per i Servizi Sanitari, Diabetes Center, Trento, Italy.ORCID http://orcid.org/0000-0003-2850-4035
Tiziana RomanelliAzienda Provinciale per i Servizi Sanitari, Diabetes Center, Trento, Italy.ORCID http://orcid.org/0000-0003-0260-2083
Katja SpeeseAzienda Provinciale per i Servizi Sanitari, Diabetes Center, Rovereto, Italy.ORCID http://orcid.org/0000-0002-1175-4911
Enrico Maria Pirase-Health Research Unit, Bruno Kessler Foundation, Trento, Italy.ORCID http://orcid.org/0000-0002-6115-0577

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe diffusion of information and communication technologies (ICTs) in type 1 diabetes (T1D) management has generated a debate on the ways in which ICTs can support the patient-provider relationship. Several studies have focused on text messages. Most of the literature proposes quantitative analysis of the impact of text messaging on the clinical conditions of patients and/or their satisfaction with the technology, while the qualitative studies have focused mainly on patients' perceptions about strengths and weaknesses of this technology.

objectiveIn contrast to past studies, we adopted a qualitative approach for the in-depth examination of patient-health care professionals' interactions in text messaging.

methodsThe study focused on the use of the Trento Cartella Clinica del Cittadino Diabetes System (TreC-DS), a digital platform with a built-in messaging system, in two diabetes centers, integrating message analysis with interviews with patients and health care professionals. Each center focused on a specific patient profile: the first one focused on pregnant women with T1D and the second one focused on adult patients with poorly controlled diabetes.

resultsThe main results of the study were as follows: (1) Health care professionals and patients perceived the messaging system as useful for sharing information (ie, pregnant women for prescriptions and adults with poorly controlled diabetes for advice); (2) The content and communication styles of the two centers differed: in the case of pregnant women, interactions via text messaging were markedly prescriptive, while in the case of adult patients with poorly controlled diabetes, they were conceived as open dialogues; and (3) Conversations were initiated mainly by professionals; in the cases considered, it was mainly the diabetes center that decided whether a messaging conversation was needed.

conclusionsThe results show how the features of interactions of text messaging changed based on the patient profiles in two different centers. In addition, in both diabetes centers that were involved, the system seems to have laid a foundation for a closer relationship between patients and health care professionals.

Indexed as

diabetes in pregnancymHealthqualitative researchtext messagingtype 1 diabetes

Identifiers

PMID31094332
PMCPMC6533872

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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.