Evidence map›Paper›PMID 42508967›Full record

ArticleFamily medicine and community health2026

Analysis of the OPTIMUM (Optimising care of Patients via Telemedicine In Monitoring and aUgmenting their control of diabetes Mellitus) tele-monitoring system in primary care as perceived by healthcare professionals using the CFIR framework.

Cia Sin Lee, Pei Pei Gong, Gerald Choon Huat Koh, Ngiap Chuan Tan

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Article in Family medicine and community health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited 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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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.

Cia Sin LeeSingHealth Polyclinics, Singapore lee.cia.sin@singhealth.com.sg.ORCID 0000-0003-3267-8935
Pei Pei GongSingHealth Polyclinics, Singapore.
Gerald Choon Huat KohFuture Primary Care, MOH Office of Healthcare Transformation, Singapore.
Ngiap Chuan TanSingHealth Polyclinics, Singapore.ORCID 0000-0002-5946-1149

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTelemedicine has been increasingly adopted post-COVID-19 to optimise chronic disease management, improving patient outcomes. The multi-component OPTIMUM (Optimising care of Patients via Telemedicine In Monitoring and aUgmenting their control of diabetes Mellitus) tele-monitoring (TM) system yielded favourable health outcomes and was introduced in primary care nationwide in Singapore. This study aims to understand the factors associated with its implementation during the randomised controlled trial (RCT).

designA qualitative study was conducted using individual semi-structured interviews. Data were transcribed, audited, coded and analysed using thematic analysis. The CFIR (Consolidated Framework for Implementation Research) framework, consisting of five domains (Intervention characteristic, Outer setting, Inner setting, Characteristics of individuals and Process), was adopted as the underpinning framework.

settingPrimary care setting in Singapore. PARTICIPANT: Healthcare professionals involved in the care provided to patients enrolled in the OPTIMUM RCT.

resultsTM facilitated behavioural change in patients, and its robust treatment algorithm allowed continuous monitoring and personalised advice. The associated external factors were manpower, costing and data security. Measures to mitigate internal risks included managing additional healthcare professionals' burden, reducing potential adverse events and addressing medicolegal risks related to TM. While TM enhanced provider satisfaction and the patient-healthcare professional relationship, strategies to enhance user experience and streamline the TM processes are required to improve its acceptance and adoption.

conclusionThe CFIR served as a useful framework to identify factors associated with successful implementation of an intervention in a real-world setting. Understanding these factors enables healthcare leaders to address the challenges before scaling up the intervention in routine clinical services.

Indexed as

Attitude of Health PersonnelDiabetes MellitusHealth PersonnelPrimary Health CareTelemedicineCOVID-19Digital HealthFemaleHumansInterviews as TopicMaleQualitative ResearchRemote Patient MonitoringSingaporeDiabetes Mellitus, Type 2Health Services ResearchQualitative Research

Identifiers

PMID42508967
PMCPMC13404624

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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.