Evidence map›Paper›PMID 35969433›Full record

ArticleJMIR research protocols2022

Development and Implementation of an Interprofessional Digital Platform to Increase Therapeutic Adherence: Protocol for a Mixed Design Study.

Carole Anglade, Mylaine Breton, Frederic Simard, Terry Fitzpatrick, Meighen Fitzpatrick, Geneviève Bruneau, Isabelle Gaboury

Abstract read
In one paragraph

Article in JMIR research protocols, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Carole AngladeDepartment of Family Medicine and Emergency Medicine, Faculty of Medicine and Health Sciences, Université de Sherbrooke, Longueuil, QC, Canada.ORCID https://orcid.org/0000-0003-2070-1982
Mylaine BretonFaculty of Medicine and Health Sciences, Department of Community Health, University of Sherbrooke, Longueuil, QC, Canada.ORCID https://orcid.org/0000-0001-5713-9618
Frederic SimardMedHelper Inc, Pointe-Claire, QC, Canada.ORCID https://orcid.org/0000-0003-4506-8474
Terry FitzpatrickMedHelper Inc, Pointe-Claire, QC, Canada.ORCID https://orcid.org/0000-0002-8451-6586
Meighen FitzpatrickMedHelper Inc, Pointe-Claire, QC, Canada.ORCID https://orcid.org/0000-0002-9683-6579
Geneviève BruneauGMF-U de Saint-Jean-sur-Richelieu, Saint-Jean-sur-Richelieu, QC, Canada.ORCID https://orcid.org/0000-0001-8369-5466
Isabelle GabouryDepartment of Family Medicine and Emergency Medicine, Faculty of Medicine and Health Sciences, Université de Sherbrooke, Longueuil, QC, Canada.ORCID https://orcid.org/0000-0002-2881-4714

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAdherence to care plans is a major issue in health care systems. Improved adherence has several potential benefits such as ensuring treatment effectiveness and control of chronic diseases. There is currently a lack of tools to maximize treatment adherence in an integrated manner, that is, covering multiple aspects of patients' health continuously throughout their medical care. To ensure better adherence, such tools must meet the needs of patients with chronic conditions as well as those of health care professionals. Acknowledging the health issues associated with nonadherence to treatment, an industry-research-clinical partnership aims to adapt a digital platform-facilitating patient-health care professional interactions-to improve therapeutic adherence in patients with chronic illnesses. The platform allows for exchanges between patients and health care professionals to facilitate the timing of medication use or chronic disease management and maximize patient adherence.

objectiveThis study aims to (1) identify the needs of patients living with a chronic condition and their health professionals concerning their interactions regarding treatment; (2) codevelop an adaptation of an interactive patient-professional platform that meets the needs identified; and (3) then test the platform and document its effects and acceptability in a clinical setting.

methodsThe study will use a creative design thinking process based on the needs expressed by users (patients and health professionals) concerning treatment adherence for chronic diseases (eg, diabetes, asthma, high blood pressure, depression and anxiety, chronic obstructive pulmonary disease). A mixed method evaluation research design will be used to develop and evaluate the platform. Qualitative data will be used to assess user needs and acceptability of the platform, and quantitative data will provide the necessary insights to document its effects.

resultsTechnological development of the platform has been completed. Recruitment for the first part of Phase 1 started in May 2022. The results of this project to codevelop an interprofessional digital platform to increase therapeutic adherence will be relevant to clinicians and managers seeking contemporary solutions that support patient adherence to treatment for chronic diseases. These results will enable optimal use of the platform and identify areas for improvement in interactive patient-health care professional apps.

conclusionsThe adoption of an interactive digital platform to facilitate effective exchanges between patients and health care professionals in primary care settings could improve adherence to treatment. The platform tested in this project takes a first step in this direction by ensuring that the technological product is developed according to the needs of patients as well as the health professionals who are likely to use it. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/34463.

Indexed as

acceptabilityadherencechronic diseasedesign thinkingdisease managementelectronic platformprimary health care

Identifiers

PMID35969433
PMCPMC9419043

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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.