- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT07299201
Proactive Telemedicine to Improve Healthcare Access and Prevention in Rural Primary Care (PTM) (PTM)
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
Study Overview
Status
Conditions
Detailed Description
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.
Study Type
Enrollment (Actual)
Phase
- Not Applicable
Contacts and Locations
Study Locations
-
-
Barcelona
-
Igualada, Barcelona, Spain, 08700
- EAP Anoia rural. Gerència d'Atenció Primària i a la comunitària Penedès. Institut Català de la Salut. Departament de Salut. Generalitat de Catalunya
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Description
Inclusion Criteria:
- Registered patients of EAP Anoia Rural
- Age ≥18 years
- No contact with the primary care team within the previous 12 months
- Able to provide informed consent (electronic or paper)
Exclusion Criteria:
- Proxy care (consulted by caregivers without patient present).
- Inability to communicate.
- Severe cognitive or psychiatric impairment.
- Advanced or palliative chronic conditions (MACA: Modelo de Atención Crónica Avanzada - Advanced Chronic Care Model).
- Outdated contact information.
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Health Services Research
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: None (Open Label)
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
|---|---|
|
Active Comparator: Arm 1: Proactive Telemedicine (PTM)
Participants receive proactive remote contact by telephone or secure electronic messaging.
A standardized brief behavioral intervention is delivered at baseline, four months, and eight months, focusing on smoking status, alcohol consumption, Mediterranean diet adherence, and physical activity.
The stage of behavioral change is assessed to tailor motivational strategies.
Participants then enter an observational phase to monitor natural healthcare utilization.
|
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.
|
|
Active Comparator: Arm 2: Face-to-Face Consultation
Participants attend in-person appointments at the health center at baseline, four months, and eight months. Each visit includes the same standardized behavioral intervention used in the PTM arm. Participants then enter an observational phase. Intervention: Face-to-Face Brief Behavioral Lifestyle Intervention |
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.
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Access to Primary Healthcare
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 (%) |
12-month post-intervention
|
|
Health-Related Quality of Life, EuroQol-5D-5L (EQ-5D-5L)
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)
|
Baseline, 4 months, 8 months
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Smoking Status
Time Frame: Baseline, 4 months, 8 months
|
Change in categorical smoking status (smoker/non-smoker).
Unit of Measure: Categorical.
|
Baseline, 4 months, 8 months
|
|
Alcohol Consumption (AUDIT-C)
Time Frame: Baseline, 4 months, 8 months
|
Change in score on the AUDIT-C questionnaire.
Unit of Measure: Score (0-12).
|
Baseline, 4 months, 8 months
|
|
Mediterranean Diet Adherence (PREDIMED)
Time Frame: Baseline, 4 months, 8 months
|
Change in PREDIMED score.
Unit of Measure: Score (0-14).
|
Baseline, 4 months, 8 months
|
|
Physical Activity (IPAQ)
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)
|
Baseline, 4 months, 8 months
|
|
Stage of Behavioral Change
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)
|
Baseline, 4 months, 8 months
|
|
Coronary Risk (REGICOR Score)
Time Frame: Baseline and 8 months
|
Change in 10-year coronary risk percentage calculated using REGICOR function.
Unit of Measure: Percentage (%),
|
Baseline and 8 months
|
|
Morbidity Assessment
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. |
Baseline to 8 months
|
|
Patient Satisfaction
Time Frame: At 8 months
|
Satisfaction score using validated telemedicine satisfaction survey (adapted from Tovar-Martínez et al.). Unit of Measure: Score (Likert scale). |
At 8 months
|
|
Adverse Effects
Time Frame: Baseline to 8 months
|
Number of intervention-related adverse events.
Unit of Measure: Count
|
Baseline to 8 months
|
Collaborators and Investigators
Collaborators
Investigators
- Study Director: Josep Vidal Alaball, PhD, Fundacio d'Investigacio en Atencio Primaria Jordi Gol i Gurina
- Principal Investigator: Robert Panadés Zafra, MD, Fundacio d'Investigacio en Atencio Primaria Jordi Gol i Gurina
Publications and helpful links
General Publications
- Ekeland AG, Bowes A, Flottorp S. Effectiveness of telemedicine: a systematic review of reviews. Int J Med Inform. 2010 Nov;79(11):736-71. doi: 10.1016/j.ijmedinf.2010.08.006.
- Flodgren G, Rachas A, Farmer AJ, Inzitari M, Shepperd S. Interactive telemedicine: effects on professional practice and health care outcomes. Cochrane Database Syst Rev. 2015 Sep 7;2015(9):CD002098. doi: 10.1002/14651858.CD002098.pub2.
- Estruch R, Ros E, Salas-Salvado J, Covas MI, Corella D, Aros F, Gomez-Gracia E, Ruiz-Gutierrez V, Fiol M, Lapetra J, Lamuela-Raventos RM, Serra-Majem L, Pinto X, Basora J, Munoz MA, Sorli JV, Martinez JA, Fito M, Gea A, Hernan MA, Martinez-Gonzalez MA; PREDIMED Study Investigators. Primary Prevention of Cardiovascular Disease with a Mediterranean Diet Supplemented with Extra-Virgin Olive Oil or Nuts. N Engl J Med. 2018 Jun 21;378(25):e34. doi: 10.1056/NEJMoa1800389. Epub 2018 Jun 13.
- Goncalves-Bradley DC, J Maria AR, Ricci-Cabello I, Villanueva G, Fonhus MS, Glenton C, Lewin S, Henschke N, Buckley BS, Mehl GL, Tamrat T, Shepperd S. Mobile technologies to support healthcare provider to healthcare provider communication and management of care. Cochrane Database Syst Rev. 2020 Aug 18;8(8):CD012927. doi: 10.1002/14651858.CD012927.pub2.
- Dorsey ER, Topol EJ. State of Telehealth. N Engl J Med. 2016 Jul 14;375(2):154-61. doi: 10.1056/NEJMra1601705. No abstract available.
- Barbosa W, Zhou K, Waddell E, Myers T, Dorsey ER. Improving Access to Care: Telemedicine Across Medical Domains. Annu Rev Public Health. 2021 Apr 1;42:463-481. doi: 10.1146/annurev-publhealth-090519-093711.
- Osman S, Churruca K, Ellis LA, Luo D, Braithwaite J. The Unintended Consequences of Telehealth in Australia: Critical Interpretive Synthesis. J Med Internet Res. 2024 Aug 27;26:e57848. doi: 10.2196/57848.
- Direcció General de Planificació en Salut. Document tècnic de l'Enquesta de salut de Catalunya 2021. Barcelona; 2022 Jun.
- MSSSI, 2015. Consejo integral en estilo de vida en atención primaria, vinculado con recursos comunitarios en población adulta. Estrategia de Promoción de la Salud y Prevención en el SNS. Ministerio de Sanidad, Servicios Sociales e Igualdad. Madrid; 2015.
- Cordoba Garcia R, Camarelles Guillem F. [Screening and brief intervention on alcohol consumption]. Aten Primaria. 2022 Jul;54(7):102349. doi: 10.1016/j.aprim.2022.102349. Epub 2022 May 9. Spanish.
- Rosembaun A, Rojas P, Rodriguez MV, Barticevic N, Rivera Mercado S. Brief interventions to promote behavioral change in primary care settings, a review of their effectiveness for smoking, alcohol and physical inactivity. Medwave. 2018 Jan 29;18(1):e7148. doi: 10.5867/medwave.2018.01.7148. English, Spanish.
- McGovern L, Miller G, Hughes-Cromwick P. The Relative Contribution of Multiple Determinants to Health Outcomes. Researchers continue to study the many interconnected factors that affect people's health. Heal Policy Br. 2014 Aug 21;1-9.
- Stringhini S, Sabia S, Shipley M, Brunner E, Nabi H, Kivimaki M, Singh-Manoux A. Association of socioeconomic position with health behaviors and mortality. JAMA. 2010 Mar 24;303(12):1159-66. doi: 10.1001/jama.2010.297.
- Littenberg B, Strauss K, MacLean CD, Troy AR. The use of insulin declines as patients live farther from their source of care: results of a survey of adults with type 2 diabetes. BMC Public Health. 2006 Jul 27;6:198. doi: 10.1186/1471-2458-6-198.
- Kruzich JM, Jivanjee P, Robinson A, Friesen BJ. Family caregivers' perceptions of barriers to and supports of participation in their children's out-of-home treatment. Psychiatr Serv. 2003 Nov;54(11):1513-8. doi: 10.1176/appi.ps.54.11.1513.
- Equip ESCA del Departament de Salut. Document tècnic de l ' Enquesta de salut de Catalunya (ESCA). Barcelona; 2016.
- Sandoval B, Martínez C, Llobet V, Belmonte T, Vilarasau R, Sandoval NB, et al. Validación de la versión en español del cuestionario PCAS para evaluar la atención primaria de salud. Rev Panam Salud Publica;31(1),ene 2012. 2012;31(1):2012.
- Ramsay J, Campbell JL, Schroter S, Green J, Roland M. The General Practice Assessment Survey (GPAS): tests of data quality and measurement properties. Fam Pract. 2000 Oct;17(5):372-9. doi: 10.1093/fampra/17.5.372.
- Bower P, Roland M, Campbell J, Mead N. Setting standards based on patients' views on access and continuity: secondary analysis of data from the general practice assessment survey. BMJ. 2003 Feb 1;326(7383):258. doi: 10.1136/bmj.326.7383.258.
- Sans-Corrales M, Pujol-Ribera E, Gene-Badia J, Pasarin-Rua MI, Iglesias-Perez B, Casajuana-Brunet J. Family medicine attributes related to satisfaction, health and costs. Fam Pract. 2006 Jun;23(3):308-16. doi: 10.1093/fampra/cmi112. Epub 2006 Feb 3.
- Bashshur RL, Reardon TG, Shannon GW. Telemedicine: a new health care delivery system. Annu Rev Public Health. 2000;21:613-37. doi: 10.1146/annurev.publhealth.21.1.613.
- Rabanales Sotos J, Párraga Martínez I, López-Torres Hidalgo J, Andrés Pretel F, Navarro Bravo B. Tecnologías de la Información y las Comunicaciones: Telemedicina. Rev Clin Med Fam. 2011 Feb;4(1):42-8.
- PAHO. Framework for the Implementation of a Telemedicine Service. Pan American Organization, World Health Organization. 2016. p. 67
- Organización Mundial de la Salud. La OMS publica las primeras directrices sobre intervenciones de salud digital. Ginebra; 2019.
- World Health Organization. Proyecto de estrategia mundial sobre salud digital 2020-2025. 2020;42.
- Tovar-Martinez JI, Romero-Ibarguengoitia ME, Elvira Torres-Almaguer C. Development and Validation of an Instrument in Spanish to Evaluate Patient Satisfaction in Telemedicine Consultation During COVID-19 Pandemic. Telemed J E Health. 2022 May;28(5):736-742. doi: 10.1089/tmj.2021.0320. Epub 2021 Sep 9.
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Actual)
Study Completion (Estimated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Keywords
Other Study ID Numbers
- 23/282-P
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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