Evidence map›Paper›PMID 41462455›Full record

SynthesisBMC endocrine disorders2025

Effect of digital interventions on adherence to the management of type 1 diabetes mellitus patients: a systematic review.

Mohammad Jawad, Saima Afaq, Sana Hussain, Syeda Fatima Jamal, Zia Ul Haq, Arshad Hussain, Asif Rehman, Samrina Khan, Moath Ahmed Abdullah Almuradi

Abstract readSystematic Review
In one paragraph

Synthesis in BMC endocrine disorders, 2025. 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
–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

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

9 authors.

Mohammad JawadInstitute of Family Medicine, Khyber Medical University, Peshawar, Pakistan.
Saima AfaqGlobal Public Health, Department of Health Sciences, University of York, York, UK. saima.afaq@york.ac.uk.
Sana HussainKhyber Medical University, Peshawar, Pakistan.
Syeda Fatima JamalInstitute of Public Health & Social Sciences, Khyber Medical University, Peshawar, Pakistan. fatimajamali06@gmail.com.
Zia Ul HaqInstitute of Public Health & Social Sciences, Khyber Medical University, Peshawar, Pakistan.
Arshad HussainNorthwest General Hospital, Peshawar, Pakistan.
Asif RehmanBath Spa University, Bath, UK.
Samrina KhanInstitute of Family Medicine, Khyber Medical University, Peshawar, Pakistan.
Moath Ahmed Abdullah AlmuradiInstitute of Public Health & Social Sciences, Khyber Medical University, Peshawar, Pakistan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionDigital health interventions have gained prominence in the management of chronic diseases like Type 1 Diabetes Mellitus (T1DM), helping patients adhere to their treatment plans. However, the effectiveness of these interventions in improving adherence to T1DM management varies globally.

objectivesTo systematically review existing digital interventions designed to improve adherence to T1DM management. To identify key features of digital tools that enhance adherence and glycaemic control in T1DM patients.

main outcome measuresPrimary outcomes were improvements in patient adherence, measured by frequency of insulin administration, self-monitoring of blood glucose, and HbA1c levels. Secondary outcomes included patient satisfaction and engagement with digital interventions.

methodsA systematic review of randomized controlled trials (RCTs) was conducted using the PICO framework. The review encompassed studies from various global regions. Studies included T1DM patients across different age groups. Databases such as PubMed, Cochrane, and Ovid were searched for relevant studies.

resultsA total of 12 randomized controlled trials (RCTs) were included in this review, focusing on improving adherence in T1DM patients. The digital interventions evaluated included mobile health applications, continuous glucose monitoring, telemedicine platforms, and educational video games. Most studies demonstrated significant improvements in patient adherence behaviours, such as insulin administration and self-monitoring of blood glucose, reductions in HbA1c levels were also noted. DISCUSSION: The improvements in HbA1c as seen in this review for individuals with T1DM are in line with findings from prior studies. The evidence showed that digital health technologies could enhance glycaemic control. These findings are in line with other studies where real-time data monitoring equipment of the emergent CGM systems and mobile apps facilitated accurate and timely modification of diabetes self-management. The reviewed studies also highlighted the effectiveness of digital technology-targeted interventions in enhancing the aspect of self-management and health behaviour among T1DM patients. These results are also aligned with the behavioural change theories which highlight the significance of education, perceived self-ability and continuous feedback in adopting good health behaviour.

conclusionsDigital interventions have a positive impact on adherence to T1DM management and glycaemic control. Their application, particularly in low-resource settings, holds great potential for improving health outcomes. CLINICAL TRIAL NUMBER: Not applicable. The aim of this review was to look at how mobile applications among other digital tools can assist people living with Type 1 Diabetes (T1DM) through continuous glucose monitoring to manage their health condition in a better way. For this purpose, we reviewed 12 different studies and found that interventions delivered through digital tools enhanced patients' adherence to their treatment by helping them lower the blood sugar levels as measured by HbA1c levels. Main findings reflected how digital tools improved health behaviours and self-management of T1DM. This was facilitated by real-time data monitoring and feedback for the diabetes care. In conclusion, Digital health interventions have the potential to positively impact the T1DM treatment leading to improved health outcomes especially in low resource settings.

Indexed as

Diabetes Mellitus, Type 1Patient ComplianceTelemedicineBlood GlucoseBlood Glucose Self-MonitoringGlycated HemoglobinHumansRandomized Controlled Trials as TopicBlood GlucoseGlycated HemoglobinAdherenceContinuous glucose monitoringDigital health interventionsGlycaemic controlLow-resource settingsMobile applicationsSystematic reviewTelemedicineType 1 diabetes mellitus

Identifiers

PMID41462455
PMCPMC12752127

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.