Chronic diseases pose significant challenges to primary care, requiring patient-centred strategies to improve chronic care delivery. As telehealth emerges as a promising tool, this study aims to examine patient experiences with chronic care and their preferences for self-management support (SMS) through telehealth services in primary care settings.

A multicentre, cross-sectional survey was conducted (June–August 2022) using the Patient Assessment of Chronic Illness Care (PACIC), the Patient Assessment of Self-Management Tasks (PAST) and a telehealth preferences questionnaire. Linear regression assessed the association between PACIC and PAST scores. Multivariate logistic regression identified factors associated with telehealth preferences, with variables selected according to Andersen’s model of healthcare utilisation.

Five diverse primary care settings in Central Vietnam, operating under Family Medicine principles.

290 individuals with hypertension and/or diabetes managed at primary care for at least 6 months.

The average PACIC score was 2.52 (SD 0.7); 25.5% rated their care as high quality (PACIC score ≥3). Among PACIC domains, goal-setting and follow-up/coordination domains received the lowest ratings. Participants perceived lifestyle changes as their priority self-management tasks, followed by medical management, communication with providers and coping with disease consequences. Higher PACIC scores were significantly associated with greater engagement across most PAST domains. Live video conferencing and mobile health were the most preferred formats for SMS. Participants strongly preferred remote patient monitoring for medical management (OR 8.8, 95% CI 2.0 to 38.1). Rural residents were more likely to prefer other telehealth modalities (ORs 3.8–4.6), particularly for coping with disease consequences (OR 4.1, 95% CI 1.8 to 9.4) and lifestyle changes (OR 5.8, 95% CI 1.1 to 28.9). Telehealth preferences were associated with factors across Andersen’s domains, including education (predisposing), resident area and digital access (enabling), and pill count, disease control, and perceived care quality (need-related).

Most elements of the chronic care model remained unmet. Patients’ care experiences and self-management priorities aligned with their telehealth preferences, underscoring the need for personalised telehealth strategies to enhance SMS in primary care. Given the cross-sectional design and absence of patient and public involvement, further studies should incorporate these stakeholders and confirm associations in more diverse and underserved populations.

This longitudinal study aimed to document shifts in specialty preferences, career pathways and intended practice locations among medical students following the implementation of structured career initiatives during the 2023–2024 academic year.

A longitudinal observational survey study.

A private, not-for-profit institution, VinUniversity in Hanoi, Vietnam during the 2023–2024 academic year.

All year 2, year 3 and year 4 medical students (n=144 eligible), of whom 105 (73%) completed both baseline and follow-up surveys.

Structured career counselling initiatives introduced at the start of the academic year, including academic mentoring, clinical mentoring, hands-on clinical exposure in year 4 and multiple career counselling activities.

The primary outcome was change in specialty preference over time, measured by students’ self-reported first-choice specialty at baseline and follow-up. Secondary outcomes included shifts in factors influencing career decisions (eg, personal interest, income and family expectations), intended practice location (domestic or international) and preferred career pathways (residency, Specialist Level I, master’s degree or direct workforce entry).

Personal interest remained the strongest influence on specialty choice from baseline to follow-up (mean scores 4.27 vs 4.36 on a 5-point scale). A notable decrease occurred in the importance of income (3.82 to 3.22; p

Noticeable shifts in specialty preferences and career pathways were observed after a series of career initiatives were implemented. Although these trends coincided with the new programmes, further qualitative research is needed to elucidate how and why these career initiatives may have influenced decision-making. Informed by these findings, medical educators can refine interventions to support students’ evolving preferences and ultimately strengthen healthcare workforce distribution.