Evidence map›Paper›PMID 37316850›Full record

ArticleBMC health services research2023

Assessing the sustainability and scalability of a diabetes eHealth innovation: a mixed-methods study.

Arani Sivakumar, Rachel Y Pan, Angel Wang, Dorothy Choi, Ali Ben Charif, Monika Kastner, France Légaré, Catherine H Yu

Open access · goldAbstract read
In one paragraph

Article in BMC health services research, 2023. 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
3.1field-weighted citation impact, top 9% 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

4 citing papers in PubMed, 7 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

8 authors at 4 institutions in 1 country.

Arani SivakumarLi Ka Shing Knowledge Institute, St. Michael's Hospital, 30 Bond Street, Toronto, ON, M5B 1W8, Canada.
Rachel Y PanLi Ka Shing Knowledge Institute, St. Michael's Hospital, 30 Bond Street, Toronto, ON, M5B 1W8, Canada.
Angel WangLi Ka Shing Knowledge Institute, St. Michael's Hospital, 30 Bond Street, Toronto, ON, M5B 1W8, Canada.
Dorothy ChoiLi Ka Shing Knowledge Institute, St. Michael's Hospital, 30 Bond Street, Toronto, ON, M5B 1W8, Canada.
Ali Ben CharifVITAM - Centre de Recherche en Santé Durable, Université Laval, Quebec City, Canada.
Monika KastnerResearch and Innovation, North York General Hospital, Toronto, Canada.
France LégaréTier 1 Canada Research Chair in Shared Decision Making and Knowledge Translation, Department of Family Medicine and Emergency Medicine, Faculty of Medicine, Laval University (Québec), Québec City, G1K 7P4, Canada.
Catherine H YuLi Ka Shing Knowledge Institute, St. Michael's Hospital, 30 Bond Street, Toronto, ON, M5B 1W8, Canada. Catherine.Yu@unityhealth.to.
St. Michael's Hospital · CAUniversité Laval · CAPublic Health Ontario · CAUniversity of Toronto · CA

Funding

Ontario SPOR Support Unit Empower Award
6 · The paper itself

Abstract

backgroundTo date, little is known about the sustainability and scalability of MyDiabetesPlan, an eHealth innovation designed to facilitate shared decision-making within diabetes care. To avoid the possibility of its short-lived implementation and promote wider adoption so as to promote patient-centred diabetes care, it is critical to understand MyDiabetesPlan's sustainability and scalability in order to ensure its long-term impact at a greater scale. We sought to identify the sustainability and scalability potential of MyDiabetesPlan and its limiting factors.

methodsUsing a concurrent triangulation mixed-methods approach, data were collected from 20 individuals involved in the development and implementation of MyDiabetesPlan. The National Health Services Sustainability Model (NHSSM) and the Innovation Scalability Self-administered Questionnaire (ISSaQ) were administered using a 'think-aloud' approach and subsequently, short semi-structured interviews were conducted. Mean aggregate scores and stakeholder-specific scores were generated for the NHSSM and ISSaQ, to quantitatively determine facilitating and limiting factors to sustainability and scalability. Content analysis occurred iteratively with qualitative data, to examine commonalities and differences with the quantitative findings.

resultsThe top facilitating factor to sustaining MyDiabetesPlan was "Staff involvement and training to sustain the process.", whereas the top limiting factors were: "Adaptability of Improved Process", "Senior Leadership Engagement" and "Infrastructure for Sustainability". The top three facilitating factors for scale-up were "Acceptability", "Development with Theory" and "Consistency with Policy Directives." Conversely, the top three limiting factors were "Financial and Human Resources", "Achievable Adoption" and "Broad Reach". Qualitative findings corroborated the limiting/facilitating factors identified.

conclusionsAddressing staff involvement throughout the dynamic care contexts, and resource constraints impacting scale-up can enhance the sustainability and scalability of MyDiabetesPlan. As such, future plans will focus on garnering organizational leadership buy-in and support, which may address the resource constraints associated with sustainability and scalability and improve the capacity for adequate staff involvement. eHealth researchers will be able to prioritize these limiting factors from the outset of their tool development to purposefully optimize its sustainability and scalability performance.

Indexed as

Diabetes MellitusTelemedicineData AccuracyDecision Making, SharedHumansResearch DesignDiabeteseHealthImplementationMyDiabetesPlanPrimary careScalabilityScale-upSustainability

Identifiers

PMID37316850
PMCPMC10264878
OpenAlexW4380683047

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.