- βE-learning significantly improved diabetes knowledge and clinical skills in multiple studies (p=0.001 and p<0.001)
- βFlexibility and accessibility of online training helps reach providers in rural or underserved areas
- β84% of participants reported satisfaction with e-learning, suggesting strong potential for adoption
| Country | Australia |
| Journal | BMJ open |
| Year | 2025 |
| Authors | Alanazi, Fellas, Bridge |
| PMID | 41248385 |
Australia Study: Can E-Learning Help Doctors Manage Diabetes Better?
A study from Australia examined a challenge that affects diabetes patients on both sides of the Pacific: many healthcare providers struggle to fully interpret the data produced by Continuous Glucose Monitors (CGMs), and online training may be part of the solution β but barriers remain significant.
Researchers at the University of Newcastle, in New South Wales, conducted a systematic review published in BMJ Open (2025). They searched seven major medical databases and identified four qualifying studies involving 6,790 healthcare professionals β including physicians, nurses, midwives, and medical residents β who used e-learning platforms to improve their skills in Type 2 Diabetes (T2D) management and CGM data interpretation.
What the Research Found
The news was cautiously encouraging. Two of the four studies showed statistically significant improvements in diabetes knowledge and clinical skills after e-learning participation. One study by Emami et al. reported improved knowledge of T2D diagnosis and treatment (p=0.001). Another, by OkuroΔlu and Alpar, found meaningful gains in diabetes care knowledge and practical skills (p<0.001). A third study noted that 84% of participants reported satisfaction with the e-learning experience, along with improved self-reported performance (p=0.03).
Key enablers that made e-learning work included flexibility β clinicians could learn on their own schedule β and accessibility, meaning training could reach providers in rural or underserved areas without requiring travel or time away from practice.
However, meaningful barriers were also identified: time constraints, resistance to change, and methodological weaknesses in the studies themselves (such as self-selection bias and lack of blinding) limited how confidently the findings could be applied broadly.
A Note on Blood Sugar Measurements
Australian clinical guidelines measure blood glucose in millimoles per liter (mmol/L). For US patients accustomed to mg/dL, here's a quick reference: the standard target fasting glucose range in Australia of 4.0β7.0 mmol/L equals approximately 72β126 mg/dL β closely aligned with the American Diabetes Association's fasting target of under 130 mg/dL for most adults with T2D.
How This Compares to US Guidelines
The American Diabetes Association (ADA) strongly endorses CGM use for people with T2D, particularly those on insulin. Yet US studies similarly show that many primary care providers feel underprepared to interpret CGM reports, including time-in-range data. This Australian review reinforces what American diabetes educators have been saying for years: provider training must keep pace with technology adoption.
Why This Matters for US Patients
If your doctor or care team seems uncertain about reading your CGM data β whether it's a Dexcom, FreeStyle Libre, or another device β you're not alone, and it's not just an American problem. This Australian research confirms that healthcare providers globally need better, more accessible training tools. For US patients, this means:
- Advocating for yourself is still important. Ask your provider if they've reviewed your time-in-range data, not just your A1C.
- Certified Diabetes Care and Education Specialists (CDCES) in the US often have deeper CGM training than general practitioners β ask for a referral.
- Better-trained providers lead to better outcomes for patients. Supporting policies that fund clinician e-learning could directly benefit your care.
The Australian researchers caution that the current evidence base is limited β only four studies qualified, and their overall quality ranged from fair to poor. They call for robust randomized controlled trials to confirm whether e-learning can produce lasting improvements in clinician performance and, ultimately, in patient health outcomes.
The Bottom Line
E-learning for diabetes clinicians shows real promise, but it isn't a guaranteed fix. The same obstacles facing Australian healthcare providers β busy schedules, resistance to new technology, and inconsistent training quality β are deeply familiar to US patients and providers alike. This international perspective confirms that closing the CGM knowledge gap is a global priority.
Source: Alanazi, Fellas, Bridge. "Enablers and barriers of e-learning utilising smart technologies in type 2 diabetes care for clinicians: a systematic review." BMJ Open, 2025. PMID: 41248385. DOI: 10.1136/bmjopen-2025-103328.
