Learning health systems · 2024
Changing practice in cystic fibrosis: Implementing objective medication adherence data at every consultation, a learning health system and quality improvement collaborative.
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Girling Carla, Davids India, Totton Nikki, Arden Madelynne A, Hind Daniel, Wildman Martin J
Аннотация
BACKGROUND: Medication adherence data are an important quality indicator in cystic fibrosis (CF) care, yet real-time objective data are not routinely available. An online application (CFHealthHub) has been designed to deliver these data to people with CF and their clinical team. Adoption of this innovation is the focus of an National Health Service England-funded learning health system and Quality Improvement Collaborative (QIC). This study applies the capability, opportunity, and motivation model of behavior change to assess whether the QIC had supported healthcare professionals' uptake of accessing patient adherence data.
METHOD: This was a mixed-method study, treating each multidisciplinary team as an individual case. Click analytic data from CFHealthHub were collected between January 1, 2018, and September 22, 2019. Thirteen healthcare practitioners participated in semi-structured interviews, before and after establishing the QIC. Qualitative data were analyzed using the behavior change model.
RESULTS: The cases showed varied improvement trajectories. While two cases reported reduced barriers, one faced persistent challenges. Participation in the QIC led to enhanced confidence in the platform's utility. Reduced capability, opportunity, and motivation barriers correlated with increased uptake, demonstrating value in integrating behavior change theory into QICs.
CONCLUSION: QICs can successfully reduce barriers and enable uptake of e-health innovations such as adherence monitoring technology. However, ongoing multi-level strategies are needed to embed changes. Further research should explore sustainability mechanisms and their impact on patient outcomes.
METHOD: This was a mixed-method study, treating each multidisciplinary team as an individual case. Click analytic data from CFHealthHub were collected between January 1, 2018, and September 22, 2019. Thirteen healthcare practitioners participated in semi-structured interviews, before and after establishing the QIC. Qualitative data were analyzed using the behavior change model.
RESULTS: The cases showed varied improvement trajectories. While two cases reported reduced barriers, one faced persistent challenges. Participation in the QIC led to enhanced confidence in the platform's utility. Reduced capability, opportunity, and motivation barriers correlated with increased uptake, demonstrating value in integrating behavior change theory into QICs.
CONCLUSION: QICs can successfully reduce barriers and enable uptake of e-health innovations such as adherence monitoring technology. However, ongoing multi-level strategies are needed to embed changes. Further research should explore sustainability mechanisms and their impact on patient outcomes.