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Completed

NCT Number: NCT03938324

Peer i-Coaching for Activated Self-Management Optimization in Adolescents and Young Adults With Chronic Conditions

The purpose of this study is to test the efficacy of a peer support coaching intervention to improve activated chronic illness self-management versus an attention control group in 225 adolescents and young adults with childhood onset chronic conditions.

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Key information

About this study

Increases in life expectancy in almost all childhood-onset chronic conditions (COCC) has brought unique challenges for adolescents and young adults (AYA) who struggle to deal with the associated disease burden, manage therapies, and thrive as they develop independent self-management skills, and become active and engaged patients. The challenges that influence the lives of AYAs are largely adaptive, such as making lifestyle modifications, adhering to complex medication regimens, and learning to navigate the adult health system. Adding to this complexity is the need for AYAs to progressively take over greater self-management responsibilities from parents. Promoting activated self-management is critically important given that this shift in health care management from parents and health care providers to the AYA is identified as key to successful adult outcomes. Peer support interventions are well-suited to address challenges theorized as critical to AYAs given the importance of peer relationships during this time. The investigators propose a mixed-methods, five-year randomized controlled trial, that will include 225 AYAs (16-22 years) with COCCs, to test the Peer i-Coaching for Activated Self-Management Optimization (PICASO) versus an attention control group. This novel, mobile health intervention utilizes an established telephone/text based secure interface to allow AYAs access knowledge, experience, and instrumental/emotional support from a trained peer coach (18-26 years), who has already developed independence and is an active self-manager. The investigators will determine the efficacy of PICASO on self-management, patient activation, transition readiness, health-related quality, and emotional health of life across 12 months. The investigators will explore whether age, sex, race/ethnicity, chronic condition, and/or disease severity moderate the trajectory of PICASO effects on self-management, patient activation, coping, emotional health and health-related quality of life. Lastly, the investigators will explore mechanisms of the PICASO impact by describing AYA experiences with the intervention.

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

  • AYA 16 to 22 years
  • Childhood onset chronic condition from 1 of 3 condition categories
  • Read and speaks English
  • Access to internet via computer or Smart Phone
  • Access to telephone (Smart Phone not required as text feature can be accessed via internet)

Exclusion criteria

  • Diagnosed cognitive dysfunction
  • Need for English translator

Treatment and study plan

PiCASO Intervention Group

Behavioral

This mobile health intervention utilizes an established telephone/text based secure interface to allow AYAs access knowledge, experience, and instrumental/emotional support from a trained peer coach who has already developed independence an active self-manager. Peers with shared experiences provide instrumental (e.g., health maintenance skills) and emotional support that likely lead to improvements in quality of life. Involving peers in supporting AYAs with chronic conditions to promote self-management and patient activation disrupts the typical over-reliance on the parent and health care provider that often impedes developing independence.

Sham Comparator: Attention Control Group

Behavioral

Over 12 months the attention control group participants will receive a monthly electronic newsletter with educational content about childhood onset chronic condition management and the differences between pediatric and adult health care systems, as well as a monthly phone call from study staff to ensure receipt of the newsletter and to answer questions regarding content, and an opportunity to link them to other resources. If participants report health concerns they will be directed to contact their health care team.

Primary outcomes

  1. Change in Self-management as Measured by the Partners in Health Scale

    Time frame: baseline, 3, 6, 9, and 12 months

    Self-management variable measured using the Partners in Health Scale (PIH): measures chronic illness self-management by assessing chronic condition self-management knowledge, partnership in treatment, recognition and management of symptoms, and coping. This 12 item self-report scale is scored on a 9-point Likert scale. The primary outcome is the overall score, which is the mean of the 12 items (possible range of 0 to 8, higher overall scores indicating better self-management).

  2. Patient Activation as Measured by the Patient Activation Measure (PAM-13)

    Time frame: baseline, 3, 6, 9, and 12 months

    Patient Activation variable measured using the Patient Activation Measure (PAM-13): measures patient activation through self-reports of knowledge, skills, and confidence related to self-management of one's own health care. This 13-item self-report assesses confidence in self-management and understanding of health condition. Each of the 13 items scored on a 5-point Likert scale. The primary outcome is an activation score derived from the 13 items (possible range of 0-100, higher scores indicating higher patient activation in self-management).

Secondary outcomes

  1. Change in Transition Readiness as Measured by the Transition Readiness Questionnaire (TRAQ 20)

    Time frame: baseline, 3, 6, 9, and 12 months

    Transition readiness variable measured using Transition Readiness Assessment Questionnaire (TRAQ 20): 20-item self-report assessment of the ability to make appointments, manage medications, track health issues, talk with providers, and manage daily activities. Each item is scored 1-5 on a Likert scale. The primary outcome is the overall score, calculated as the mean of the 20 items (possible range: 1 to 5, higher scores indicating more transition readiness).

  2. Change in Health-related Quality of Life as Measured by the Short Form Health Survey (SF12) - Mental Component Summary (MCS)

    Time frame: baseline, 3, 6, 9, and 12 months

    Health-related Quality of Life variable measured using the Short Form Health Survey (SF12): 12-item self-report that assesses health related quality of life. The sum of the MCS items was transformed into T-scores for comparison to the US population (which has a mean of 50 and standard deviation of 10). The MCS T-scores have a range of 0 to 100, with higher scores indicating better mental health status.

  3. Change in Emotional Health as Measured by the Brief Symptom Inventory (BSI 18)

    Time frame: baseline, 3, 6, 9, and 12 months

    Emotional health variable measured using the Brief Symptom Inventory: 18-item self-report of emotional symptoms experienced over the previous 7 days. Each item was scored with 0 to 4 Likert scale. The primary outcome was the global severity index score (GSI), an overall score derived by summing the scores of the 18 items (possible range: 0 to 72 with higher scores indicating greater psychological distress).

Sponsors and collaborators

Lead sponsor

Duke University

Other

Collaborators

  • National Institute of Nursing Research (NINR)
  • National Institutes of Health (NIH)

Registry information

Acronym: PiCASO

Important dates

Study start
2019
Primary completion
2024
Study completion
2024
First posted
May 6, 2019
Registry last updated
Jul 17, 2026

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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