Interventions to improve system-level coproduction in the Cystic Fibrosis Learning Network.

BACKGROUND: Coproduction is defined as patients and clinicians collaborating equally and reciprocally in healthcare and is a crucial concept for quality improvement (QI) of health services. Learning Health Networks (LHNs) provide insights to integrate coproduction with QI efforts from programmes from various health systems. OBJECTIVE: We describe interventions to develop and maintain patient and family partner (PFP) coproduction, measured by PFP-reported and programme-reported scales. We aim to increase percentage of programmes with PFPs reporting active QI work within their programme, while maintaining satisfaction in PFP-clinician relationships. METHODS: Conducted in the Cystic Fibrosis Learning Network (CFLN), an LHN comprising over 30 cystic fibrosis (CF) programmes, people with CF, caregivers and clinicians cocreated interventions in readiness awareness, inclusive PFP recruitment, onboarding process, partnership development and leadership opportunities. Interventions were adapted by CFLN programmes and summarised in a change package for existing programmes and the orientation of new ones. We collected monthly assessments for PFP and programme perceptions of coproduction and PFP self-rated competency of QI skills and satisfaction with programme QI efforts. We used control charts to analyse coproduction scales and run charts for PFP self-ratings. RESULTS: Between 2018 and 2022, the CFLN expanded to 34 programmes with 52% having ≥1 PFP reporting active QI participation. Clinicians from 76% of programmes reported PFPs were actively participating or leading QI efforts. PFPs reported increased QI skills competency (17%-32%) and consistently high satisfaction and feeling valued in their work. CONCLUSIONS: Implementing system-level programmatic strategies to engage and sustain partnerships between clinicians and patients and families with CF improved perceptions of coproduction to conduct QI work. Key adaptable strategies for programmes included onboarding and QI training, supporting multiple PFPs simultaneously and developing financial recognition processes. Interventions may be applicable in other health conditions beyond CF seeking to foster the practice of coproduction.

Establishing a Cystic Fibrosis Learning Network: Interventions to promote collaboration and data-driven improvement at scale.

Introduction: A learning health network is a type of learning health system in which stakeholders use network organization to improve health and health care. Building on existing resources in the cystic fibrosis (CF) community, the Cystic Fibrosis Learning Network (CFLN) was designed to improve medical outcomes and quality of life through an intentional focus on achieving reliable evidence-based chronic care delivery and creating a system for data-driven collaborative learning. Methods: We describe the development and growth of the CFLN considering six domains of a Network Maturity Grid: system leadership; governance and policy management; quality improvement (QI); engagement and community building; data and analytics; and research. We illustrate the impact of the CFLN experience on chronic care processes and indicators of collaborative infrastructure. Results: The CFLN represents 36 accredited care centers in the CF Foundation Care Center Network caring for over 6300 patients. Of 6779 patient clinical care visits/quarter, 77% are entered into the CF Foundation Patient Registry within 30 days, providing timely means to track outcomes. Collaborative visit planning is occurring in 93% of clinical care visits to share agenda setting with patients and families. Almost all CFLN teams (94%, n = 34) have a patient/family partner (PFP), and 74% of PFPs indicate they are actively participating, taking ownership of, or leading QI initiatives with the interdisciplinary care team. In 2022, 97% of centers reported completing 1-13 improvement cycles per month, and 82% contributed to monthly QI progress reports to share learning. Conclusion: The CFLN is a maturing, collaborative infrastructure. CFLN centers practice at an advanced level of coproduction. The CFLN fosters interdisciplinary and PFP leadership and the performance of consistent data-driven improvement cycles. CFLN centers are positioned to respond to rapid changes in evidence-based care and advance the practice of QI and implementation science on a broader scale.

Formative evaluation of a dashboard to support coproduction of healthcare services in cystic fibrosis.

BACKGROUND: Healthcare coproduction engages patients and clinicians to design and execute services, yet little is known about tools that facilitate coproduction. Our objective was to understand uptake, experiences, benefits, and limitations of a dashboard to support patient-clinician partnerships within the cystic fibrosis (CF) community. METHODS: People living with CF (PwCF) and clinicians co-designed a dashboard that displayed patient-reported and clinical data. Eight CF programmes, including 21 clinicians, and 131 PwCF participated in a pilot study of the dashboard. We conducted descriptive statistics and thematic analyses of surveys (82 PwCF; 21 clinicians); semi-structured interviews (13 PwCF; 8 care teams); and passively-collected usage data. RESULTS: Two-thirds of the 82 PwCF used the dashboard during a visit, and 59% used it outside a visit. Among 48 PwCF using the dashboard outside the clinic, 92% viewed their health information and 46% documented concerns or requests. Most of the 21 clinicians used the dashboard to support visit planning (76%); fewer used it during a visit (48%). The dashboard supported discussions of what matters most (69% PwCF; 68% clinicians). Several themes emerged: access to patient outcomes data allows users to learn more deeply; participation in pre-visit planning matters; coproduction is made possible by inviting new ways to partner; and lack of integration with existing information technology (IT) systems is limiting. CONCLUSIONS: A dashboard was feasible to implement and use. Future iterations should provide patients access to their data, be simple to use, and integrate with IT systems in use by clinicians and PwCF.