JMIR Formative Research
Process evaluations, early results, and feasibility/pilot studies of digital and non-digital interventions
Editor-in-Chief:
Amaryllis Mavragani, PhD, Scientific Editor at JMIR Publications, Canada
Impact Factor 2.4 More information about Impact Factor CiteScore 4.2 More information about CiteScore
Recent Articles

The COVID-19 pandemic disrupted mobility globally, but its mental health implications remain difficult to characterize because most studies relied on lockdown status, population-level mobility indicators, or self-reported mobility. These approaches may miss individual differences in actual movement patterns and cannot fully examine bidirectional relationships between mobility and mental health. Individual-level smartphone geolocation data may provide a more objective and temporally aligned measure of mobility during periods of societal disruption.

Electrocardiograms (ECGs) are commonly stored in PDF, particularly as vector-based files generated by ECG management systems. Previous studies have demonstrated that ECG signals can be extracted through PDF-to-Scalable Vector Graphics (SVG) conversion, highlighting the potential to reconstruct waveform signals from vector graphics. These reconstructed signals further enable the derivation and prediction of clinically relevant ECG parameters.

Veterans face stigma, privacy concerns, and access barriers to HIV screening. For studies that use at-home HIV self-testing (HIVST) kits distributed through vending machines (VMs), recruitment and educational materials must communicate study purpose and participation options clearly, minimize confusion and stigma, and provide actionable next steps for participants who test outside of clinical settings.

Diabetic foot ulcers (DFUs) are a leading cause of hospitalizations, amputations, and health care costs among individuals with diabetes, often due to delayed detection and treatment. Early identification of skin changes is critical for preventing ulcer progression, yet daily visual foot self-inspections are often limited by impaired mobility, visual deficits, and poor compliance. Although some foot-focused remote patient monitoring technologies are in use, most of these approaches do not provide standardized, full-color visual documentation, which can affect clinicians’ ability to interpret findings using familiar visual cues.



The global adoption of English-medium instruction (EMI) in higher education has introduced complex implementation challenges, the severity of which often depends on the resources available within specific educational contexts. Evidence remains limited in public medical schools in under-resourced, non-Anglophone countries, which serve a socioeconomically and educationally diverse student population. In such settings, the direct transfer of existing EMI integration models presents significant practical challenges.

Conversational voice AI assistants can automate postoperative follow-up calls in high-volume, low-complexity pathways such as cataract surgery but may widen health inequalities if language access and inclusive design are not built in. This patient and public involvement focus group was conducted to inform the Turkish-language adaptation of Dora ahead of a forthcoming multilingual clinical trial at Moorfields Eye Hospital.

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