- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT05593835
Multimorbidity Management Supported by a Digital Platform
November 28, 2023 updated by: Universidade Nova de Lisboa
Protocol for a Cluster Randomised Trial of a Goal-Oriented Care Approach for Multimorbidity Patients Supported by a Digital Platform
This study aims to assess whether the use of the METHIS digital platform using a patient-centered approach contributes to an improvement in the quality of life, mental health and physical activity of patients with multimorbidity followed up in Primary Health Care.
Practices will be randomly allocated between: providing access to consultations through the METHIS platform (intervention) or following patients by the traditional method (control).
They will complete questionnaires on quality of life, mental health and report the number of steps taken, at the beginning and end of the study.
Study Overview
Status
Not yet recruiting
Conditions
Intervention / Treatment
Detailed Description
A superiority, cluster randomised trial will be conducted at Primary Health Care Practices (1:1 allocation ratio).
All public practices in the Lisbon and Tagus Valley Region, Portugal, not involved in a previous pilot trial, will be eligible.
The intervention combines a training programme and a customised Information System (METHIS).
Both are designed to help clinicians to adopt a Goal-Oriented Care Model approach and to encourage patients and carers to play a more active role in autonomous healthcare.
Study Type
Interventional
Enrollment (Estimated)
1380
Phase
- Not Applicable
Contacts and Locations
This section provides the contact details for those conducting the study, and information on where this study is being conducted.
Study Contact
- Name: Luís V. Lapão, PhD
- Phone Number: +351 937234449
- Email: luis.lapao@nms.unl.pt
Study Contact Backup
- Name: Bruno Heleno, PhD
- Phone Number: 26045 +351 218803000
- Email: bruno.heleno@nms.unl.pt
Participation Criteria
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
Eligibility Criteria
Ages Eligible for Study
46 years and older (Adult, Older Adult)
Accepts Healthy Volunteers
No
Description
Inclusion Criteria:
- community-dwelling people
- aged 50 or older
- with complex multimorbidity (co-occurrence of three or more chronic conditions affecting three or more different body systems)
- with access to an Internet connection and a communication technology device
Exclusion Criteria:
- inability to: provide informed consent, to read or write, inability to access an email or electronic device, even when helped by an informal caregiver
Study Plan
This section provides details of the study plan, including how the study is designed and what the study is measuring.
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 |
|---|---|
|
Experimental: METHIS Intervention
The METHIS intervention will consist of two components.
The first component is a Goal-Oriented Care (GOC) Training Program for health professionals.
The training program will include the concept of personalised care, methods of goal elation, implications of GOC in healthcare practice, and how METHIS platform can be used to support the application of GOC.
The training will be implemented through a blended-learning, continuous education program that will be credited by Nova University of Lisbon.
The second component is a GOC information system.
This will be the digital platform METHIS, which will be designed to nudge clinicians to adopt a GOC and to encourage patients and caregivers to take an active role in healthcare.
The investigators will adapt an existing platform that was developed for a pilot study during the COVID-19 pandemic, that promotes care coordination, optimises disease prioritisation, and patient self-management.
|
The METHIS platform is a digital healthcare platform, supported by three databases using PostreSQL (based in relational SQL).
One of the databases allows adequate internal testing before production.
Another database of production (secured with unique access codes) will be created to retrieve data from the practices' and the last database for the research data, where pseudonymised production data can be analysed for research purposes.
The platform is integrated (via FCCN Scientific Computation Unit of the Portuguese Fundação para a Ciência e a Tecnologia) with the Software Zoom® to allow encrypted teleconsultations, with a guarantee that each patient connection is unique.
The digital platform is web-based, and it can be used in multiple devices.
Other Names:
The training program will have three stages: initial face-to-face training, which will happen before the data collection, followed by remote, asynchronous training during a 12-month period, and a final seminar to discuss the results and inquire about the usability of the GOC model and the METHIS platform.
The course will be offered to the intervention group one month before the start of patient recruitment, and for the control group at least one month after the end of data collection.
Other Names:
|
|
No Intervention: Control
The control group in this trial will be the best usual care, using the standard Electronic Health Records available to the practice.
Our understanding of what "best usual care" is for people with multimorbidity is informed by qualitative research in an earlier stage of this project.
Our results suggest that healthcare professionals often provide disease-driven care.
When faced with multiple healthcare problems, they prioritise based on 1) patient complaints; 2) which condition is less well controlled; or 3) which condition is more likely to adversely impact on patient Health Related-Quality of life.
General practitioners and primary care nurses are often not familiar with the Goal-Oriented Care model.
However, they already try to implement some of its principles such as identifying patient goals and supporting shared decision making.
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Health related quality of life
Time Frame: Participants will be asked to fill in the SF-12 questionnaire at baseline and at 12 months.
|
Participants will be asked to fill in the SF-12 questionnaire which generates a physical component score (PCS) and a mental component score (MCS).
The primary outcome will be the mean difference in the variation (delta) of the PCS of SF-12 between baseline and 12 months.
The SF-12 can be filled in 2-4 minutes, and it is validated for the Portuguese population.
Minimum important differences validated across large populations and multiple disease categories are a change in between 2 and 3 points from the population mean of 50.
|
Participants will be asked to fill in the SF-12 questionnaire at baseline and at 12 months.
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Mental health status
Time Frame: Participants will complete the HADS-A and HADS-D questionnaire at baseline and at 12 months.
|
Participants will be asked to complete the Hospital Anxiety and Depression Scale questionnaire (HADS-A and HADS-D, respectively).
The investigators will calculate the mean difference in the variation (delta) in HADS-A and HADS-D between baseline and 12 months.
Although HADS was designed for inpatients it was posteriorly validated in the primary care outpatient setting.
A minimum important difference of 1.5 has been reported in other chronic disorders.
|
Participants will complete the HADS-A and HADS-D questionnaire at baseline and at 12 months.
|
|
Physical activity
Time Frame: Participants will wear the SmartBand for 12 months.
|
Physical activity will be monitored through the number of steps walked daily.
To assess the number of steps per day, a smart band with a triaxial Accelerometer will be used in both arms of the trial.
Although traditional step counters use pedometers to detect daily step counts, accelerometers are more accurate and sensitive to lower force accelerations (e.g., slow walking) being considered the current standard for collecting physical activity data.
Sedentary older adults and individuals living with disability and chronic illness benefit from a physically active lifestyle, with approximately 4,600- 5,500 daily steps.
The lowest median values for steps/day found is in disabled older adults (1214 steps/day) and by people living with COPD (2237 steps/day).
|
Participants will wear the SmartBand for 12 months.
|
|
Number of serious adverse events (clinician-reported)
Time Frame: Family physicians will be asked, at 6 and 12 months after randomization, to check the life status of enrolled patients and whether patients in the trial were admitted to a hospital or had a visit to an emergency service since the randomization date.
|
These will be the safety outcomes chosen for this trial.
In both trial arms, data about patient mortality will be collected and combined with data on occurrence of emergency department visits and hospital admissions as a proxy for serious adverse events.
This information is available through the Portuguese common EHR.
Due to legal requirements, after death, the information about hospital admissions and other contacts with healthcare organisations ceases to be available to the attending physician.
|
Family physicians will be asked, at 6 and 12 months after randomization, to check the life status of enrolled patients and whether patients in the trial were admitted to a hospital or had a visit to an emergency service since the randomization date.
|
|
Number of potentially missed diagnoses (clinician-reported)
Time Frame: Potentially missed diagnoses will be reported 6 months after the intervention phase. In this way a compromise between avoiding recall bias and allowing enough time for a missed diagnosis to become clinically apparent is achieved.
|
These will be a second safety outcome.
The investigators will ask clinicians in the intervention arm if they are aware of any serious diagnosis that might have been missed due to the intervention.
|
Potentially missed diagnoses will be reported 6 months after the intervention phase. In this way a compromise between avoiding recall bias and allowing enough time for a missed diagnosis to become clinically apparent is achieved.
|
Collaborators and Investigators
This is where you will find people and organizations involved with this study.
Sponsor
Collaborators
Investigators
- Principal Investigator: Luís V. Lapão, PhD, Universidade Nova de Lisboa
Publications and helpful links
The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.
General Publications
- Evenson KR, Goto MM, Furberg RD. Systematic review of the validity and reliability of consumer-wearable activity trackers. Int J Behav Nutr Phys Act. 2015 Dec 18;12:159. doi: 10.1186/s12966-015-0314-1.
- Boyd CM, Darer J, Boult C, Fried LP, Boult L, Wu AW. Clinical practice guidelines and quality of care for older patients with multiple comorbid diseases: implications for pay for performance. JAMA. 2005 Aug 10;294(6):716-24. doi: 10.1001/jama.294.6.716.
- Kastner M, Hayden L, Wong G, Lai Y, Makarski J, Treister V, Chan J, Lee JH, Ivers NM, Holroyd-Leduc J, Straus SE. Underlying mechanisms of complex interventions addressing the care of older adults with multimorbidity: a realist review. BMJ Open. 2019 Apr 3;9(4):e025009. doi: 10.1136/bmjopen-2018-025009.
- Onder G, Palmer K, Navickas R, Jureviciene E, Mammarella F, Strandzheva M, Mannucci P, Pecorelli S, Marengoni A; Joint Action on Chronic Diseases and Promoting Healthy Ageing across the Life Cycle (JA-CHRODIS). Time to face the challenge of multimorbidity. A European perspective from the joint action on chronic diseases and promoting healthy ageing across the life cycle (JA-CHRODIS). Eur J Intern Med. 2015 Apr;26(3):157-9. doi: 10.1016/j.ejim.2015.02.020. Epub 2015 Mar 18.
- Mercer S, Furler J, Moffat K, Fischbacher-Smith D, Sanci LA, World Health Organization, et al. Multimorbidity: Technical Series on Safer Primary Care. Geneva, Switzerland: World Health Organization; 2016
- Amer Nordin A, Mohd Hairi F, Choo WY, Hairi NN. Care Recipient Multimorbidity and Health Impacts on Informal Caregivers: A Systematic Review. Gerontologist. 2019 Sep 17;59(5):e611-e628. doi: 10.1093/geront/gny072.
- van der Aa MJ, van den Broeke JR, Stronks K, Plochg T. Patients with multimorbidity and their experiences with the healthcare process: a scoping review. J Comorb. 2017 Jan 27;7(1):11-21. doi: 10.15256/joc.2017.7.97. eCollection 2017.
- Fortin M, Lapointe L, Hudon C, Vanasse A, Ntetu AL, Maltais D. Multimorbidity and quality of life in primary care: a systematic review. Health Qual Life Outcomes. 2004 Sep 20;2:51. doi: 10.1186/1477-7525-2-51.
- Makovski TT, Schmitz S, Zeegers MP, Stranges S, van den Akker M. Multimorbidity and quality of life: Systematic literature review and meta-analysis. Ageing Res Rev. 2019 Aug;53:100903. doi: 10.1016/j.arr.2019.04.005. Epub 2019 Apr 30.
- Marengoni A, von Strauss E, Rizzuto D, Winblad B, Fratiglioni L. The impact of chronic multimorbidity and disability on functional decline and survival in elderly persons. A community-based, longitudinal study. J Intern Med. 2009 Feb;265(2):288-95. doi: 10.1111/j.1365-2796.2008.02017.x.
- Cairo Notari S, Sader J, Caire Fon N, Sommer JM, Pereira Miozzari AC, Janjic D, Nendaz M, Audetat MC. Understanding GPs' clinical reasoning processes involved in managing patients suffering from multimorbidity: A systematic review of qualitative and quantitative research. Int J Clin Pract. 2021 Sep;75(9):e14187. doi: 10.1111/ijcp.14187. Epub 2021 May 5.
- Damarell RA, Morgan DD, Tieman JJ. General practitioner strategies for managing patients with multimorbidity: a systematic review and thematic synthesis of qualitative research. BMC Fam Pract. 2020 Jul 1;21(1):131. doi: 10.1186/s12875-020-01197-8.
- Spencer-Bonilla G, Quinones AR, Montori VM; International Minimally Disruptive Medicine Workgroup. Assessing the Burden of Treatment. J Gen Intern Med. 2017 Oct;32(10):1141-1145. doi: 10.1007/s11606-017-4117-8. Epub 2017 Jul 11.
- Whitehead L, Palamara P, Allen J, Boak J, Quinn R, George C. Nurses' perceptions and beliefs related to the care of adults living with multimorbidity: A systematic qualitative review. J Clin Nurs. 2022 Oct;31(19-20):2716-2736. doi: 10.1111/jocn.16146. Epub 2021 Dec 6.
- Muth C, Blom JW, Smith SM, Johnell K, Gonzalez-Gonzalez AI, Nguyen TS, Brueckle MS, Cesari M, Tinetti ME, Valderas JM. Evidence supporting the best clinical management of patients with multimorbidity and polypharmacy: a systematic guideline review and expert consensus. J Intern Med. 2019 Mar;285(3):272-288. doi: 10.1111/joim.12842. Epub 2018 Dec 10. Erratum In: J Intern Med. 2019 Oct;286(4):487.
- Kernick D, Chew-Graham CA, O'Flynn N. Clinical assessment and management of multimorbidity: NICE guideline. Br J Gen Pract. 2017 May;67(658):235-236. doi: 10.3399/bjgp17X690857. No abstract available.
- De Maeseneer J, Boeckxstaens P. James Mackenzie Lecture 2011: multimorbidity, goal-oriented care, and equity. Br J Gen Pract. 2012 Jul;62(600):e522-4. doi: 10.3399/bjgp12X652553. No abstract available.
- Gonzalez AI GONZALEZ, Schmucker C, Nothacker J, Motschall E, Nguyen TS, Brueckle MS, Blom J, van den Akker M, Rottger K, Wegwarth O, Hoffmann T, Straus SE, Gerlach FM, Meerpohl JJ, Muth C. Health-related preferences of older patients with multimorbidity: an evidence map. BMJ Open. 2019 Dec 15;9(12):e034485. doi: 10.1136/bmjopen-2019-034485.
- Mold JW, Blake GH, Becker LA. Goal-oriented medical care. Fam Med. 1991 Jan;23(1):46-51.
- Steele Gray C, Grudniewicz A, Armas A, Mold J, Im J, Boeckxstaens P. Goal-Oriented Care: A Catalyst for Person-Centred System Integration. Int J Integr Care. 2020 Nov 4;20(4):8. doi: 10.5334/ijic.5520.
- 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.
- Gagnon MP, Godin G, Gagne C, Fortin JP, Lamothe L, Reinharz D, Cloutier A. An adaptation of the theory of interpersonal behaviour to the study of telemedicine adoption by physicians. Int J Med Inform. 2003 Sep;71(2-3):103-15. doi: 10.1016/s1386-5056(03)00094-7.
- Shojania KG, Jennings A, Mayhew A, Ramsay CR, Eccles MP, Grimshaw J. The effects of on-screen, point of care computer reminders on processes and outcomes of care. Cochrane Database Syst Rev. 2009 Jul 8;2009(3):CD001096. doi: 10.1002/14651858.CD001096.pub2.
- Lamprell K, Tran Y, Arnolda G, Braithwaite J. Nudging clinicians: A systematic scoping review of the literature. J Eval Clin Pract. 2021 Feb;27(1):175-192. doi: 10.1111/jep.13401. Epub 2020 Apr 27.
- Kraef C, van der Meirschen M, Free C. Digital telemedicine interventions for patients with multimorbidity: a systematic review and meta-analysis. BMJ Open. 2020 Oct 13;10(10):e036904. doi: 10.1136/bmjopen-2020-036904.
- Pascual-de la Pisa B, Palou-Lobato M, Marquez Calzada C, Garcia-Lozano MJ. [Effectiveness of interventions based on telemedicine on health outcomes in patients with multimorbidity in Primary Care: A systematic review]. Aten Primaria. 2020 Dec;52(10):759-769. doi: 10.1016/j.aprim.2019.08.004. Epub 2019 Dec 5. Spanish.
- Berntsen G, Strisland F, Malm-Nicolaisen K, Smaradottir B, Fensli R, Rohne M. The Evidence Base for an Ideal Care Pathway for Frail Multimorbid Elderly: Combined Scoping and Systematic Intervention Review. J Med Internet Res. 2019 Apr 22;21(4):e12517. doi: 10.2196/12517.
- Lapao LV, Peyroteo M, Maia M, Seixas J, Gregorio J, Mira da Silva M, Heleno B, Correia JC. Implementation of Digital Monitoring Services During the COVID-19 Pandemic for Patients With Chronic Diseases: Design Science Approach. J Med Internet Res. 2021 Aug 26;23(8):e24181. doi: 10.2196/24181.
- Quinaz Romana G, Kislaya I, Cunha Goncalves S, Salvador MR, Nunes B, Matias Dias C. Healthcare use in patients with multimorbidity. Eur J Public Health. 2020 Feb 1;30(1):16-22. doi: 10.1093/eurpub/ckz118.
- Broeiro, P. (2015). Multimorbilidade e comorbilidade: duas perspectivas da mesma realidade. Revista Portuguesa De Medicina Geral E Familiar, 31(3), 150-60.
- Peyroteo M. O sistema de informação e o modelo de orientação na prestação de cuidados de saúde em pacientes com multimorbilidade numa unidade de saúde familiar em Lisboa: uma perspetiva dos profissionais de saúde Instituto de Higiene Tropical, Universidade NOVA de Lisboa; 2020. Available from: https://run.unl.pt/handle/10362/116922
- Smith SM, Wallace E, Salisbury C, Sasseville M, Bayliss E, Fortin M. A Core Outcome Set for Multimorbidity Research (COSmm). Ann Fam Med. 2018 Mar;16(2):132-138. doi: 10.1370/afm.2178.
- Cheung AS, de Rooy C, Hoermann R, Lim Joon D, Zajac JD, Grossmann M. Quality of life decrements in men with prostate cancer undergoing androgen deprivation therapy. Clin Endocrinol (Oxf). 2017 Mar;86(3):388-394. doi: 10.1111/cen.13249. Epub 2016 Nov 2.
- Gonzalez-Ortega M, Gene-Badia J, Kostov B, Garcia-Valdecasas V, Perez-Martin C. Randomized trial to reduce emergency visits or hospital admissions using telephone coaching to complex patients. Fam Pract. 2017 Apr 1;34(2):219-226. doi: 10.1093/fampra/cmw119.
- Bunevicius A, Peceliuniene J, Mickuviene N, Valius L, Bunevicius R. Screening for depression and anxiety disorders in primary care patients. Depress Anxiety. 2007;24(7):455-60. doi: 10.1002/da.20274.
- Puhan MA, Frey M, Buchi S, Schunemann HJ. The minimal important difference of the hospital anxiety and depression scale in patients with chronic obstructive pulmonary disease. Health Qual Life Outcomes. 2008 Jul 2;6:46. doi: 10.1186/1477-7525-6-46.
- Corder K, Brage S, Ekelund U. Accelerometers and pedometers: methodology and clinical application. Curr Opin Clin Nutr Metab Care. 2007 Sep;10(5):597-603. doi: 10.1097/MCO.0b013e328285d883.
- Tudor-Locke C, Craig CL, Aoyagi Y, Bell RC, Croteau KA, De Bourdeaudhuij I, Ewald B, Gardner AW, Hatano Y, Lutes LD, Matsudo SM, Ramirez-Marrero FA, Rogers LQ, Rowe DA, Schmidt MD, Tully MA, Blair SN. How many steps/day are enough? For older adults and special populations. Int J Behav Nutr Phys Act. 2011 Jul 28;8:80. doi: 10.1186/1479-5868-8-80.
- Arvidsson D, Fridolfsson J, Borjesson M. Measurement of physical activity in clinical practice using accelerometers. J Intern Med. 2019 Aug;286(2):137-153. doi: 10.1111/joim.12908. Epub 2019 Apr 16.
- Richardson, S. and D. Mackinnon. (2017). Left to their own Devices? Privacy Implications of Wearable Technology in Canadian Workplaces. Surveillance Studies Centre. Available at: https://www.surveillance-studies.ca/sites/sscqueens.org/files/left_to_their_own_devices.pdf
- Johnson EJ, Goldstein D. Medicine. Do defaults save lives? Science. 2003 Nov 21;302(5649):1338-9. doi: 10.1126/science.1091721. No abstract available.
- Quinaz Romana G, Kislaya I, Salvador MR, Cunha Goncalves S, Nunes B, Dias C. [Multimorbidity in Portugal: Results from The First National Health Examination Survey]. Acta Med Port. 2019 Feb 1;32(1):30-37. doi: 10.20344/amp.11227. Epub 2019 Feb 1. Portuguese.
Study record dates
These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.
Study Major Dates
Study Start (Estimated)
June 1, 2025
Primary Completion (Estimated)
January 30, 2026
Study Completion (Estimated)
May 31, 2027
Study Registration Dates
First Submitted
October 3, 2022
First Submitted That Met QC Criteria
October 21, 2022
First Posted (Actual)
October 25, 2022
Study Record Updates
Last Update Posted (Actual)
November 29, 2023
Last Update Submitted That Met QC Criteria
November 28, 2023
Last Verified
November 1, 2023
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
- METHIS_CRTMB2022
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
YES
IPD Plan Description
The complete research dataset will be stored in an encrypted and secure location with the purpose of being accessed for secondary analyses or comparative studies or per request of the patients involved or the Research and Ethics Committee.
For legal reasons, the investigators will not disclose the database or grant access for data reproduction.
However, processed data may be made available upon request to the research team, with appropriate justification.
IPD Sharing Time Frame
After the study ends and for 5 years.
IPD Sharing Access Criteria
The trial protocol, the main paper with the trial results and a short paper with the results of the final physician survey will be published in peer-review journals.
IPD Sharing Supporting Information Type
- STUDY_PROTOCOL
- CSR
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
No
Studies a U.S. FDA-regulated device product
No
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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