Effectiveness of a Personalized Health Profile on Specificity of Self-Management Goals

NCT ID: NCT04175795

Last Updated: 2019-11-25

Basic Information

• Recruitment Status: UNKNOWN
• Clinical Phase: NA
• Total Enrollment: 420 participants
• Study Classification: INTERVENTIONAL
• Study Start Date: 2019-12-31
• Study Completion Date: 2020-03-31

Brief Summary

With a growing number of people living with chronic diseases, the need to empower people for self-management is rising. A key element in self-management is goal setting but the extent to which meaningful actionable goals (i.e., SMART) can be set without direction from the health care team is not known. Providing people with specific feedback on actionable health outcomes may stimulate the setting of specific goals. To this end, a health outcome profile was computer generated from the existing outcome measures, at first and last recorded visits, of each person enrolled in the Positive Brain Health Now (+BHN) cohort from 5 sites in Canada. This profile will be tested with BHN participants who agreed to enrolled in sub-studies. The main outcome will be the extent to which goals are SMART by using specific words and actionable verbs. A measurement framework and an initial lexical (i.e., collection of vocabularies) has been developed for the goal evaluation. Using text mining techniques (i.e., tokenizing and pos-tagging), the specific components of each goal will be extracted and compared to the lexical using regular expression algorithms. The result will provide information on the specificity of participants' defined goals.

Detailed Description

Introduction: With a growing number of people living with chronic diseases, the need to empower people to self-manage their condition is rising. A key element in self-management is goal setting, however, it is not known to what extent people living with chronic conditions are capable of setting their own actionable health-related goals. One possible strategy to improve goal-setting skills is to provide people with specific information about their health profile to stimulate the setting of specific goals. This study contributes to the understanding of the specificity of patient-formulated self-management goals by testing the effectiveness of providing feedback using a personalized health outcome profile.

Objective: To estimate among people living with HIV, to what extent providing feedback on their health outcomes, compared to no feedback, will affect number and specificity of person-defined self-management goals.

Design: A blinded, stratified, randomized controlled trial design will be conducted targeting all participants in the BHN2 (Action for Positive Brain Health Now) cohort in Canada.

Methods: A personalized health outcome profile has been produced for each person enrolled in the BHN1 cohort (Positive Brain Health Now) at cohort entry and at the last recorded visit. The same profile will be developed for the participants who will enroll in the BHN2 as they go through their visits. The profile covers information on brain health outcomes, health and quality of life ratings, and lifestyle factors. Participants from the BHN1 who agreed to enroll in the BHN2 as well as the new participants will be contacted. The intervention group will receive their personal profile along with instructions on goal-setting and tips to improve brain health; the control group will receive only the goal-setting instructions and tips. Over 800 members of the BHN cohort have sufficient data to generate the profile and will be recruited into the study. Persons will be instructed to enter their goals on a specialized web-based goal setting platform within 2 weeks of receiving their profile. At the close of the two-week period, the control group will receive their profile. Text mining techniques will be used to extract information from the person-defined goals and the specificity of the goal will be scored based on word matches to a developed goal-setting lexical.

Expected Results: The expectation is that the intervention group will set more goals and have more words matching the developed lexical than the control group. The total number of words per person-goal will be calculated for each group and Poisson regression will be used to estimate the rate ratio and 95% confidence intervals and compare rate ratios between men and women using an interaction term.

Conclusion: The effect of providing outcome feedback on setting effective self-management goals will be tested in this study. The results will provide a thorough understanding of the quality of person-defined goals using text mining. Moreover, this study provides evidence necessary for future studies using text mining as an inexpensive and timely way for evaluation of textual information.

Conditions

Chronic Disease; Goals

Study Design

• Allocation Method: RANDOMIZED
• Intervention Model: PARALLEL
• Primary Study Purpose: SUPPORTIVE_CARE
• Blinding Strategy: DOUBLE

Study Groups

Dashboard group

The intervention group will receive their personal profile via this e-mail along with instructions on goal-setting and tips to improve brain health.

Group Type: EXPERIMENTAL

My Personal Brain Health Dashboard

Intervention Type: BEHAVIORAL

The intervention of this study is grounded in the knowledge-to-action framework (Graham et al., 2006) and consists of providing feedback by sending participants their personalized health outcome profiles. As mentioned above, the context of our study is the BHN cohort. For all participants enrolled in the parent study, data on wide spectrum of health outcomes have been gathered. As part of the knowledge translation plan, a personalized profile of specific modifiable health outcomes called as "My Personalized Brain Health Profile" has been created for each participant (Appendix B). The profile covers information on brain health outcomes, health and quality of life ratings, and lifestyle factors.

No Dashboard group

The control group will receive only the goal-setting instructions and tips.

Group Type: NO_INTERVENTION

No interventions assigned to this group

Interventions

My Personal Brain Health Dashboard

The intervention of this study is grounded in the knowledge-to-action framework (Graham et al., 2006) and consists of providing feedback by sending participants their personalized health outcome profiles. As mentioned above, the context of our study is the BHN cohort. For all participants enrolled in the parent study, data on wide spectrum of health outcomes have been gathered. As part of the knowledge translation plan, a personalized profile of specific modifiable health outcomes called as "My Personalized Brain Health Profile" has been created for each participant (Appendix B). The profile covers information on brain health outcomes, health and quality of life ratings, and lifestyle factors.

Intervention Type: BEHAVIORAL

Eligibility Criteria

Inclusion Criteria

• adults age ≥ 35 who have been diagnosed as HIV positive for at least one year, - able to communicate adequately in French or English,
• and able to give an informed consent

Exclusion Criteria

• dementia,
• life expectancy of <3 years or other,
• non-HIV-related neurological disorder,
• known active central nervous system opportunistic infection or hepatitis C requiring Interferon treatment,
• known Psychotic disorder,
• current (within the past 12 months) substance dependence or abuse.

• Minimum Eligible Age: 35 Years
• Eligible Sex: ALL
• Accepts Healthy Volunteers: No

Sponsors

Canadian Institutes of Health Research (CIHR)

OTHER_GOV

Sponsor Role: collaborator

CIHR Canadian HIV Trials Network

NETWORK

Sponsor Role: collaborator

McGill University

OTHER

Sponsor Role: lead

Responsible Party

Nancy Mayo

James mcGill Professor

Responsibility Role: PRINCIPAL_INVESTIGATOR

Locations

CHUM

Montreal, Quebec, Canada

Countries

Canada

Central Contacts

Maryam Mozafarinia, PhD student

Role: CONTACT

maryam.mozafarinia@mail.mcgill.ca

(438) 990-1805

Dr. Nancy Mayo

Role: CONTACT

nancy.mayo@mcgill.ca

(514) 934-1934 ext. 32147

Other Identifiers

ABHN_Goals

Identifier Type: -

Identifier Source: org_study_id