EAP Anoia rural. Gerència d'Atenció Primària i a la comunitària Penedès. Institut Català de la Salut. Departament de Salut. Generalitat de Catalunya
Igualada, Barcelona, 08700, Spain
NCT Number: NCT07299201
The study evaluates whether Proactive Telemedicine (PTM) can improve healthcare access for individuals who have not contacted their primary care team for at least one year, compared with face-to-face visits. PTM consists of brief, remote behavioral interventions addressing modifiable risk factors such as tobacco use, alcohol consumption (AUDIT-C: Alcohol Use Disorders Identification Test - Consumption), physical activity (IPAQ: International Physical Activity Questionnaire), and Mediterranean diet adherence (PREDIMED: Prevención con Dieta Mediterránea). PTM follows national preventive protocols including PAPPS (Programa de Actividades Preventivas y de Promoción de la Salud) and uses validated tools such as EuroQol-5D-5L (EQ-5D-5L) to measure healthcare accessibility and quality-of-life outcomes. This randomized non-inferiority trial aims to determine whether PTM is as effective and safe as traditional in-person consultations.
This study is active but is not currently recruiting participants.
18 year and older
All sexes
Interventional
Not applicable
Igualada, Barcelona, 08700, Spain
Healthcare systems, particularly in rural and aging populations, face persistent challenges in ensuring equitable and universal access. Many individuals do not regularly engage with primary care services due to geographical, socioeconomic, organizational, or personal barriers. Digital health initiatives, including the World Health Organization's Global Strategy on Digital Health 2020-2025, highlight telemedicine as a key tool to improve accessibility and support preventive care.
Proactive Telemedicine (PTM) is a model in which primary care professionals initiate remote contact with individuals who have not interacted with their healthcare team for at least one year. The intervention uses synchronous (telephone) and asynchronous (secure messaging) communication to deliver brief behavioral counseling based on cognitive-behavioral and motivational interviewing principles. These interventions target modifiable lifestyle factors such as smoking, alcohol consumption, physical inactivity, and dietary patterns, and are aligned with national preventive care recommendations.
This randomized non-inferiority trial evaluates whether PTM provides accessibility, preventive impact, and user experience comparable to face-to-face consultations. The study examines whether proactively delivered telemedicine can serve as a scalable and acceptable strategy to increase engagement with primary care services in underserved rural areas. The information obtained will help determine the feasibility, effectiveness, and future implementation potential of PTM within broader healthcare systems.
Healthy volunteers accepted: Yes
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
Participants received proactive digital contact via phone or e-consultation. They underwent a brief behavioural intervention addressing modifiable lifestyle factors such as smoking, alcohol consumption, physical activity, and diet. Additionally, access to the rural primary healthcare system will also be measured.
Participants attend in-person visits where they undergo a brief behavioural intervention addressing modifiable lifestyle factors (smoking, alcohol, physical activity, diet). Additionally, access to the rural primary healthcare system is also measured.
Time frame: 12-month post-intervention
Proportion of participants who initiate any contact with primary care during the 12-month post-intervention observation period.
Unit of Measure: Proportion (%)
Time frame: Baseline, 4 months, 8 months
Change in quality-of-life score measured using the EuroQol-5D-5L instrument. Unit of Measure: Index score (0-1)
Time frame: Baseline, 4 months, 8 months
Change in categorical smoking status (smoker/non-smoker). Unit of Measure: Categorical.
Time frame: Baseline, 4 months, 8 months
Change in score on the AUDIT-C questionnaire. Unit of Measure: Score (0-12).
Time frame: Baseline, 4 months, 8 months
Change in PREDIMED score. Unit of Measure: Score (0-14).
Time frame: Baseline, 4 months, 8 months
Change in physical activity level. Unit of Measure: MET-minutes/week (Low: <600, Moderate: 600-2999, High: ≥3000)
Time frame: Baseline, 4 months, 8 months
Change in stage of change using transtheoretical model. Unit of Measure: Categorical (precontemplation, contemplation, preparation, action, maintenance, relapse)
Time frame: Baseline and 8 months
Change in 10-year coronary risk percentage calculated using REGICOR function. Unit of Measure: Percentage (%),
Time frame: Baseline to 8 months
Change in number and type of chronic conditions documented in electronic health records (ECAP).
Unit of Measure: Count of conditions.
Time frame: At 8 months
Satisfaction score using validated telemedicine satisfaction survey (adapted from Tovar-Martínez et al.).
Unit of Measure: Score (Likert scale).
Time frame: Baseline to 8 months
Number of intervention-related adverse events. Unit of Measure: Count
Fundacio d'Investigacio en Atencio Primaria Jordi Gol i Gurina
Other
Evaluation of the Efficiency of Proactive Telemedicine vs Face-to-Face Visits for Universal Access and Health Prevention in a Rural Primary Care Team: Randomized Non-Inferiority Clinical Trial
Acronym: PTM
OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.
View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.
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