Cross-Cutting mHealth Behavior Change Techniques to Support Treatment Adherence and Self-Management of Complex Medical Conditions: Systematic Review.

Background: Mobile health (mHealth) interventions have immense potential to support disease self-management for people with complex medical conditions following treatment regimens that involve taking medicine and other self-management activities. However, there is no consensus on what discrete behavior change techniques (BCTs) should be used in an effective adherence and self-management-promoting mHealth solution for any chronic illness. Reviewing the extant literature to identify effective, cross-cutting BCTs in mHealth interventions for adherence and self-management promotion could help accelerate the development, evaluation, and dissemination of behavior change interventions with potential generalizability across complex medical conditions. Objective: This study aimed to identify cross-cutting, mHealth-based BCTs to incorporate into effective mHealth adherence and self-management interventions for people with complex medical conditions, by systematically reviewing the literature across chronic medical conditions with similar adherence and self-management demands. Methods: A registered systematic review was conducted to identify published evaluations of mHealth adherence and self-management interventions for chronic medical conditions with complex adherence and self-management demands. The methodological characteristics and BCTs in each study were extracted using a standard data collection form. Results: A total of 122 studies were reviewed; the majority involved people with type 2 diabetes (28/122, 23%), asthma (27/122, 22%), and type 1 diabetes (19/122, 16%). mHealth interventions rated as having a positive outcome on adherence and self-management used more BCTs (mean 4.95, SD 2.56) than interventions with no impact on outcomes (mean 3.57, SD 1.95) or those that used >1 outcome measure or analytic approach (mean 3.90, SD 1.93; P=.02). The following BCTs were associated with positive outcomes: self-monitoring outcomes of behavior (39/59, 66%), feedback on outcomes of behavior (34/59, 58%), self-monitoring of behavior (34/59, 58%), feedback on behavior (29/59, 49%), credible source (24/59, 41%), and goal setting (behavior; 14/59, 24%). In adult-only samples, prompts and cues were associated with positive outcomes (34/45, 76%). In adolescent and young adult samples, information about health consequences (1/4, 25%), problem-solving (1/4, 25%), and material reward (behavior; 2/4, 50%) were associated with positive outcomes. In interventions explicitly targeting medicine taking, prompts and cues (25/33, 76%) and credible source (13/33, 39%) were associated with positive outcomes. In interventions focused on self-management and other adherence targets, instruction on how to perform the behavior (8/26, 31%), goal setting (behavior; 8/26, 31%), and action planning (5/26, 19%) were associated with positive outcomes. Conclusions: To support adherence and self-management in people with complex medical conditions, mHealth tools should purposefully incorporate effective and developmentally appropriate BCTs. A cross-cutting approach to BCT selection could accelerate the development of much-needed mHealth interventions for target populations, although mHealth intervention developers should continue to consider the unique needs of the target population when designing these tools.

Positive and negative impacts of elexacaftor/tezacaftor/ivacaftor: Healthcare providers' observations across US centers.

BACKGROUND: Elexacaftor/tezacaftor/ivacaftor (ETI) has been associated with unprecedented clinical improvements, transforming the management of cystic fibrosis (CF). However, side effects with implications for safety and well-being have been reported, including neuropsychiatric changes. This study aimed to better characterize the emerging positive and negative impacts of ETI. METHODS: The Cystic Fibrosis Foundation's Mental Health Advisory Committee distributed a 26-item survey to US CF care teams to assess clinician observations of patient-reported experiences with ETI. Survey responses measured the prevalence of these effects in five domains: (1) positive physical and psychological effects, (2) sleep difficulties, (3) cognitive difficulties, (4) worsening mental health, and (5) concerns about the future and finances. RESULTS: Seventy-five healthcare providers responded from a pediatric, adult, and combined centers. Positive physical effects of ETI and increased optimism were reported in the upper quartiles (50%-100%) and rated as having a significant impact on daily functioning. Sleep and cognitive difficulties were reported in 1%-24%, with slight impacts on functioning, and psychological symptoms (e.g., increased stress, depression, anxiety) and new psychiatric medications were reported in 1%-24%, with moderate impacts. Concerns about the future were reported in 1%-24%, with minimal impacts. CONCLUSION: Across US centers, providers most often observed positive physical effects of ETI. However, a variety of negative side effects were also reported, including sleep disruptions and worsening psychological functioning, which should be systematically monitored by CF teams. These national-level data are a first step in evaluating the prevalence and consequences of these side effects and can directly inform future studies.

National integration of mental health screening and treatment into specialized care for cystic fibrosis: What predicts success?

OBJECTIVES: The CF Foundation sponsored competitive awards for Mental Health Coordinators (MHCs) from 2016 to 2018 to implement the international guidelines for mental health screening and treatment in US CF centers. Longitudinal surveys evaluated success in implementing these guidelines using the Consolidated Framework for Implementation Research (CFIR). METHODS: MHCs completed annual surveys assessing implementation from preparation/basic implementation (e.g., using recommended screeners) to full implementation/sustainability (e.g., providing evidence-based treatments). Points were assigned to questions through consensus, with higher scores assigned to more complex tasks. Linear regression and mixed effects models were used to: (1) examine differences in centers and MHC characteristics, (2) identify predictors of success, (3) model the longitudinal trajectory of implementation scores. RESULTS: A total of 122 MHCs (88.4% responded): Cohort 1, N = 80; Cohort 2, N = 30; and Cohort 3, N = 12. No differences in center characteristics were found. Significant improvements in implementation were observed across centers over time. Years of experience on a CF team was the only significant predictor of success; those with 1-5 years or longer reported the highest implementation scores. Change over time was predicted by >5 years of experience. CONCLUSIONS: Implementation of the mental health guidelines was highly successful over time. Funding for MHCs with dedicated time was critical. Longitudinal modeling indicated that CF centers with diverse characteristics could implement them, supported by evidence from the CF Patient Registry showing nearly universal uptake of mental health screening in the United States. Years of experience predicted better implementation, suggesting that education and training of MHCs and retention of experienced providers are critical to success.

Overcoming psychosocial challenges in cystic fibrosis: Promoting resilience.

Individuals living with cystic fibrosis (CF), and their families, have experienced significant improvements in treatment and related research that have enhanced outcomes and survival. Despite such advancement, the burden of living with CF still exists. Many psychosocial stressors and risk factors are associated with the impact of CF. The identification and treatment of such risk factors are discussed throughout this review, with an emphasis on strategies to address psychosocial risk and the importance of promoting resiliency in those touched by CF.