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Reducing Cardiovascular Risk in Primary Care: a Randomized Clinical Trial (Misalud)

Primary Purpose

Cardiovascular Diseases, Compliance, Medication, Physical Inactivity

Status
Active
Phase
Not Applicable
Locations
Chile
Study Type
Interventional
Intervention
Health App
Usual Care
Sponsored by
Pontificia Universidad Catolica de Chile
About
Eligibility
Locations
Arms
Outcomes
Full info

About this trial

This is an interventional prevention trial for Cardiovascular Diseases

Eligibility Criteria

30 Years - 65 Years (Adult, Older Adult)All SexesDoes not accept healthy volunteers

Inclusion Criteria:

  1. Adults between 30 and 65 years old
  2. Included in the population-based registration system of primary care clinics in Santiago (La Pintana-LP), Talca (San Clemente-SC) and Concepción (Giguayante-Ch)
  3. Individuals with a moderate (10-15%) or high (>15%) cardiovascular risk level according to the National Chilean Guidelines adapted from the Framingham scale.
  4. Individuals with a personal smartphone or with access to a smartphone from a close family relative identified as caring supporters by them.

Exclusion Criteria:

  1. Adults not in the year range
  2. Adults not cognitive competent (e.g not able to answer a personal survey)
  3. Individuals with low or very low cardiovascular risk -

Sites / Locations

  • Primary Care Clinic Concepción (Chiguayante-Ch)
  • Primary Care Clinic, Talca (San Clemente-SC)
  • Primary Care Clinic Santiago (La Pintana-Ch)

Arms of the Study

Arm 1

Arm 2

Arm Type

Experimental

Active Comparator

Arm Label

Health App

Usual Care

Arm Description

This group will have access to a gamified App to help them to control their cardiovascular risk factors and to improve their adherence to medication therapy. Half of the participants will be allocated to the App group. They will be stratified by age and cardiovascular risk level according to national standards based on the Framingham risk factors level.

This group will not have access to the gamified App and will receive their usual care at the primary care clinic. In addition, they will receive extra information on cardiovascular risk factors control. Both groups will have the same access to clinical checks and medications at the clinic.

Outcomes

Primary Outcome Measures

Change in medication adherence
Compliance with pharmacologic therapy estimated using the the Adherence to Refills and Medications Scale (ARMS). Unit of Measure : Scale units (Score 12 to 28 units)
Change in level of physical activity
The level of physical activity (vigorous, moderate, mild) of participants will be estimated based on the International Physical Questionnaire (IPAQ) which expresses the energy expended by individuals in MET/min/week. Unit of Measure: MET-minutes/week
Change in functional capacity
The functional capacity of a random sample of 50% (450) of participants will be estimated based on the 6-minute walk test. Unit of Measure: Meters
Change in fatigue level
The level of fatigue and dyspnea will be estimated using the Borg Scale, which is a component of the 6-minute walk test. Unit of Measure: Scale units (Score: 0 to 10 units)

Secondary Outcome Measures

Change in cardiovascular risk level
Cardiovascular risk level of the participant population will be estimated according to the National Chilean Guidelines of Cardiovascular Disease for Primary Care that is based on the Framingham studies. Unit of measure: risk percentage at 10 years (% at 10 years)

Full Information

First Posted
May 3, 2022
Last Updated
September 27, 2022
Sponsor
Pontificia Universidad Catolica de Chile
Collaborators
National Fund for Research and Development in Health, Chile
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1. Study Identification

Unique Protocol Identification Number
NCT05395806
Brief Title
Reducing Cardiovascular Risk in Primary Care: a Randomized Clinical Trial
Acronym
Misalud
Official Title
Effectiveness of a Gamified App for Cardiovascular Disease Management in Primary Care: a Randomized Clinical Trial
Study Type
Interventional

2. Study Status

Record Verification Date
September 2022
Overall Recruitment Status
Active, not recruiting
Study Start Date
January 1, 2021 (Actual)
Primary Completion Date
May 30, 2023 (Anticipated)
Study Completion Date
February 1, 2024 (Anticipated)

3. Sponsor/Collaborators

Responsible Party, by Official Title
Sponsor
Name of the Sponsor
Pontificia Universidad Catolica de Chile
Collaborators
National Fund for Research and Development in Health, Chile

4. Oversight

Studies a U.S. FDA-regulated Drug Product
No
Studies a U.S. FDA-regulated Device Product
No
Data Monitoring Committee
No

5. Study Description

Brief Summary
Cardiovascular disease is a leading cause of death and disease in Chile. It explains 27.6% of the causes of death and 14% of disabled adjusted life years in the Chilean population. Low levels of physical activity and low levels of adherence to pharmacological therapy are major risk factors for cardiovascular disease in at-risk populations. This project will design and test the effectiveness of a mobile application based on gamification theory for improving cardiovascular disease control in a population of 900 primary care patients with moderate or high cardiovascular risk levels. A randomized controlled trial was designed to test the effect of the App in improving 30% of the levels of physical activity and adherence to pharmacological therapy and a significant reduction of 20% in cardiovascular risk levels.
Detailed Description
Background: Cardiovascular disease is still a major cause of death and disease in Chile. It explains 27.6% of the causes of death and 14% of disabled adjusted life years in the Chilean population. According to the Chilean National Health Survey the population with moderate and high cardiovascular risk in Chile is 25.5%. In Chile, 80% of the population holds public health insurance and are beneficiaries of the public health care network at no co-payment. Chile has a strong primary care network. Most of its population is registered in primary care clinics and receives clinical and preventive services for free. Control of cardiovascular risk factors such as physical activity, hypertension, and diabetes has been insufficient in Chile. Only 20% of the population with moderate or high cardiovascular risk reported adequate levels of physical activity. In addition, only 50% of the population with hypertension reaches adequate blood pressure levels and only 30% of the population with diabetes is well controlled. These insufficient standards are associated with low adherence to pharmacological therapies that do not reach the level of 50% even though medications are free of cost for this population in primary care. There is evidence that the use of mobile applications can improve cardiovascular disease control in at-risk patients. However, there is a lack of information on the type of best application models (e.g informative, interactive, gamification-based), and on their applicability and effectiveness in real primary care settings. There is some evidence that gamified-based applications are superior that informative or interactive models. There are no well-designed trials in Latin America testing the effectiveness of gamification-based application in reducing cardiovascular risk in primary care patients. Hypothesis: Null hypothesis: The use of a gamification-based mobile application in primary care patients does not improve their level of physical activity and medication adherence compared to standard care. Alternative hypothesis: The use of a gamification-based mobile application in primary care patients improves their level of physical activity and medication adherence compared to standard care. General Objective: This project aims to reduce cardiovascular risk in a population with moderate and high-risk levels by developing a mobile interactive application based on gamification that could integrate self-control with clinical management in primary care. Specific Objectives: To improve by 30% the level of physical activity in a population with moderate or high cardiovascular risk patients through the use of a new gamification-based mobile application. To improve by 30% the level of medication adherence in a population of moderate and high cardiovascular risk patients through the use of a new gamification-based mobile application. To develop a usable, reliable, and safe gamification-based mobile application for primary care patients. To achieve at least a 66%% of weekly usability rate of the new gamification-based mobile application. Procedures: Data sources The trial will be conducted in three primary care clinics in Santiago (La Pintana), Talca (San Clemente) and Concepción (Chiguayante). Primary baseline data will be obtained from personal interviews conducted to a group of 900 participants selected from a random sample of patients with moderated or high cardiovascular risk registered in each primary care clinic. Clinical baseline data will be obtained from electronic charts from the same group of patients using a standardized instrument. All participants will have a basic panel of lab tests that define their cardiovascular risk and are included in the national cardiovascular program as part of their usual care. Half of the participants will complete a 6-minute walk test (6MWT) to assess their aerobic capacity and exercise tolerance. A final survey, clinical assessment, and 6MWT will be conducted at the end of the trial to the same participants. Data Dictionary: Primary outcome: Level of physical activity: Intensity and frequency of physical activity measured through the International Physical Activity Questionnaire (IPAQ). Medication adherence: The extent to which patients comply with medical indications on drug doses and frequency. It will be estimated using the internationally validated "Adherence to Refills and Medications scale" (ARMS) Secondary outcomes: Cardiovascular risk level: Probability of developing a cardiovascular event ( cerebrovascular, heart, blood vessel disease) during the next five years. According to the Chilean National Guidelines based on the Framingham score. High Blood Pressure: An abnormal and persistent elevation of blood pressure defined as systolic levels of 140 mm Hg or higher or diastolic levels of 90 mm Hg or higher. Diabetes: A metabolic disorder defined as levels of HbA1c levels >= 6.5%, or fasting plasma glucose >= 126 mg/dl, or an oral glucose tolerance test or random plasma glucose level > = 200 mg/dl Lipid disorder: A metabolic disorder defined as a total blood cholesterol level ≥ 200 mg/dL, LDL cholesterol < 130, HDL cholesterol > 50 mg/dl and trygglicerides < 200 mg/dl Smoking: current smoker defined as an adult who has smoked 100 cigarettes in his or her lifetime and who currently smokes cigarettes. Sedentarism: Sedentary life style defined as a level of physical activity lower that 150 minutes per week of moderate aerobic activity. Registry Baseline and final information gathered directly from participants, electronic charts and 6MWT will be registered in the Research Electronic Data Capture software (Redcap). Redcap is the licensed institutional metadata EDC software used by the Research Center at PUC for clinical trials. Registration will be conducted by an independent assistant team at PUC and will not be accessible to the research team. In addition, a process information system will be developed based on a tracking form for registering recruitment, intervention compliance, and final evaluation of the study population. Quality assurance/data check The Chilean National Research Agency (ANID), which is the funding agency for this project, requires researchers to report regularly all steps of the project and any changes that are needed during the process. To assuring a standard report, ANIS required the Principal Investigator to register the information bi-monthly on a specific platform. (https://fondefsis.conicyt.cl/cgi-bin/proyectos.php) where all relevant activities, processes, landmarks, and results are described. A tracking financial system is also included in a separate section of the platform. In addition, a research executive supervisor is designated by ANID. She has to meet bi-monthly with the research team to assure the scientific the project is developing as planned. Also, a financial supervisor is designated by ANID for assuring that the expenses of the project are in line with the approved budget and are in the correct timing. The Institutional Review Board at PUC fully reviewed and approved all instruments and procedures conducted in the study. In addition, the whole protocol had to be reviewed and approved by local IRB local Committees in Santiago (SSMSO), Talca (SSMaule) and Concepción (SSConcepción). A specific team from the project will be in charge of checking the data provided by the interviewers. The team will be responsible for assuring the appropriate conduction of the informed consent process, the correct application of the questionnaires and clinical chart assessment, and the accurate application and registration of the 6MWT. In addition, a random sample of 5% of the interviews will be re-checked to assure correct application. All interviewers will be checked. In case of detection of false data, all interviews conducted by the particular interviewer will have to be repeated. Sample size: The sample size was estimated based on the magnitude of the changes expected to achieve after the intervention in the two primary outcomes of the study i.e. level of physical activity and adherence to medication therapy. The sample size was estimated for each clinic independently. The level of physical activity was based on information provided by the National Health Survey (2017) and the National Survey on Physical Activity (2018). According to this information, the study considered an improvement of at least 30% (i.e 18% to 25%) in the population physically active when comparing the intervention vs. the control group. Adherence to medical therapy parameters for the population with moderate to high cardiovascular risk in Chile was based on national studies of primary care patients conducted in Chile. According to this information, the study considered a relative improvement of at least 30% (i.e from 50% to 65%) in the level of adherence to medication therapy in the intervention vs. the control group in each clinic. This level of medication therapy adherence is clinically significant for reducing cardiovascular disease in high-risk populations. The study was designed to achieve a power of 0.8 (i.e. 20% of type II error) to show significant differences between intervention and control groups in each clinic and with a type I error (alfa level) of 0.05 (two-sided test). Based on these parameters, we estimated a sample size of 127 participants per group to detect significant differences in the level of physical activity and 113 participants in each group for detecting significant differences in levels of medication adherence. We estimated an attrition rate of 10% of the population during the study, and therefore, the final sample size was set at 300 participants percenter (150 participants in each group) Missing data: An intention to treat analysis will be conducted as the primary model of the study analysis. Therefore, the primary analysis will consider no change in study variables among participants with missing data. A single imputation method using the mean substitution technique will also be conducted to test the magnitude of the effect of missing data in the final outcome. Sensitivity analysis of these methods will be conducted. Statistical analysis The data from the study will be collected and registered in the Research Electronic Data Capture (RedCap) platform. Descriptive and analytic statistics will be conducted using IBM-SPSS software professional version. Univariate and multivariate analysis will be conducted to test the association and potential confounder variables between the intervention model and the primary and secondary outcomes considered. A logistic regression model will be applied to analyze categorical variables such as level of physical activity, level of medication adherence, or level of cardiovascular risk changes pre and post-intervention between groups. The model will adjust for potential confounding variables in case there are significant differences in critical variables (e.g. education level) at baseline. A multiple linear regression model will be used for the analysis of continuous variables such as changes in cardiovascular risk scores or Met-min/week scores between groups before and after the intervention. Results of the study will be reported using the CONSORT criteria.

6. Conditions and Keywords

Primary Disease or Condition Being Studied in the Trial, or the Focus of the Study
Cardiovascular Diseases, Compliance, Medication, Physical Inactivity, Hypertension, Diabetes Mellitus, Lipid Disorder

7. Study Design

Primary Purpose
Prevention
Study Phase
Not Applicable
Interventional Study Model
Parallel Assignment
Model Description
Randomized controlled trial- Multicenter Registered patients at three primary care clinics were randomly allocated to intervention or control groups at each clinic. The intervention group received access and technical supprot for using a new App to help improve their control vs control group that received general information and usual care.
Masking
None (Open Label)
Allocation
Randomized
Enrollment
900 (Actual)

8. Arms, Groups, and Interventions

Arm Title
Health App
Arm Type
Experimental
Arm Description
This group will have access to a gamified App to help them to control their cardiovascular risk factors and to improve their adherence to medication therapy. Half of the participants will be allocated to the App group. They will be stratified by age and cardiovascular risk level according to national standards based on the Framingham risk factors level.
Arm Title
Usual Care
Arm Type
Active Comparator
Arm Description
This group will not have access to the gamified App and will receive their usual care at the primary care clinic. In addition, they will receive extra information on cardiovascular risk factors control. Both groups will have the same access to clinical checks and medications at the clinic.
Intervention Type
Other
Intervention Name(s)
Health App
Intervention Description
The intervention will include training health teams and patients in accessing and using a gamified health App 2-3 times a week. The App is based on a gamified character that improves its health if a patient checks its App, complies with her therapy, does regular exercise, and introduces normal levels of blood pressure, lipids level, and HbA1c levels. On the other hand, the character gets sick if the patient does not comply with her therapy or does not achieve certain levels of physical activity (i.e. 30 min moderate exercise 5 times a week or 2.5 hs a week or more than 9000 steps/day).
Intervention Type
Other
Intervention Name(s)
Usual Care
Intervention Description
In this group, participants will receive their usual cardiovascular care according to the national guidelines. All patients receive free care at the primary care clinics and also receive free medications prescribed according to the national guidelines at the clinics. In addition, participants in this group will receive specific written information to improve their medication compliance, level of physical activity, blood pressure, HbA1c, and lipids level control.
Primary Outcome Measure Information:
Title
Change in medication adherence
Description
Compliance with pharmacologic therapy estimated using the the Adherence to Refills and Medications Scale (ARMS). Unit of Measure : Scale units (Score 12 to 28 units)
Time Frame
Change from baseline medication adherence at 18 months
Title
Change in level of physical activity
Description
The level of physical activity (vigorous, moderate, mild) of participants will be estimated based on the International Physical Questionnaire (IPAQ) which expresses the energy expended by individuals in MET/min/week. Unit of Measure: MET-minutes/week
Time Frame
Change from baseline in level of physical activity at 18 months
Title
Change in functional capacity
Description
The functional capacity of a random sample of 50% (450) of participants will be estimated based on the 6-minute walk test. Unit of Measure: Meters
Time Frame
Change from baseline in functional capacity at 18 months
Title
Change in fatigue level
Description
The level of fatigue and dyspnea will be estimated using the Borg Scale, which is a component of the 6-minute walk test. Unit of Measure: Scale units (Score: 0 to 10 units)
Time Frame
Change from baseline in fatigue level at 18 months
Secondary Outcome Measure Information:
Title
Change in cardiovascular risk level
Description
Cardiovascular risk level of the participant population will be estimated according to the National Chilean Guidelines of Cardiovascular Disease for Primary Care that is based on the Framingham studies. Unit of measure: risk percentage at 10 years (% at 10 years)
Time Frame
Change from baseline in cardiovascular risk level at 18 months

10. Eligibility

Sex
All
Minimum Age & Unit of Time
30 Years
Maximum Age & Unit of Time
65 Years
Accepts Healthy Volunteers
No
Eligibility Criteria
Inclusion Criteria: Adults between 30 and 65 years old Included in the population-based registration system of primary care clinics in Santiago (La Pintana-LP), Talca (San Clemente-SC) and Concepción (Giguayante-Ch) Individuals with a moderate (10-15%) or high (>15%) cardiovascular risk level according to the National Chilean Guidelines adapted from the Framingham scale. Individuals with a personal smartphone or with access to a smartphone from a close family relative identified as caring supporters by them. Exclusion Criteria: Adults not in the year range Adults not cognitive competent (e.g not able to answer a personal survey) Individuals with low or very low cardiovascular risk -
Overall Study Officials:
First Name & Middle Initial & Last Name & Degree
Klaus Puschel, MD,MPH,MSc
Organizational Affiliation
School of Medicine. Pontificia Universidad Católica de Chile
Official's Role
Study Director
First Name & Middle Initial & Last Name & Degree
Julian Varas, MD, MSc
Organizational Affiliation
School of Medicine. Pontificia Universidad Católica de Chile
Official's Role
Principal Investigator
Facility Information:
Facility Name
Primary Care Clinic Concepción (Chiguayante-Ch)
City
Chiguayante
State/Province
Concepción
ZIP/Postal Code
4100000
Country
Chile
Facility Name
Primary Care Clinic, Talca (San Clemente-SC)
City
San Clemente
State/Province
Talca
ZIP/Postal Code
3520000
Country
Chile
Facility Name
Primary Care Clinic Santiago (La Pintana-Ch)
City
Santiago
ZIP/Postal Code
8820000
Country
Chile

12. IPD Sharing Statement

Plan to Share IPD
Yes
IPD Sharing Plan Description
All the information from the study will be available to external researchers according to the guidelines of the Chilean National Agency for Research and Development (ANID;https://www.anid.cl/) that funds the investigation.
IPD Sharing Time Frame
April 2024-April 2027
IPD Sharing Access Criteria
Written consent from the Research Director or Principal Investigator Written consent from the Chilean National Agency for Research and Development (ANID)
IPD Sharing URL
http://www.anid.cl
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URL
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Description
Ministerio de Salud, Chile. Orientaciones Técnicas. Programa de Salud Cardiovascular, 2017

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Reducing Cardiovascular Risk in Primary Care: a Randomized Clinical Trial

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