ArticleBMJ open quality2022
Cystic fibrosis learning network telehealth innovation lab during the COVID-19 pandemic: a success QI story for interdisciplinary care and agenda setting.
Article in BMJ open quality, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Meaningful Criteria to Persons Living With Cystic Fibrosis and Their Healthcare Providers in Helping Determine Adjustments to Routine Clinical Follow-Up.Pediatric pulmonology · 2026Article
- Reporting of Telehealth Implementation in Cystic Fibrosis: Scoping Review Using a Novel Theory-Based Evaluation Lens.Journal of medical Internet research · 2026Article
- Cystic Fibrosis Learning Network Telehealth Innovation Lab During the COVID-19 Pandemic: Impact on Access to Care, Outcomes, and a New CF Care Model.Pediatric pulmonology · 2025Article
- Improving implementation and team communication by integrating a cystic fibrosis transition readiness (CF R.I.S.E.) program into electronic health records.Pediatric pulmonology · 2025Article
- Interventions to improve system-level coproduction in the Cystic Fibrosis Learning Network.BMJ open quality · 2024Article
- Revolutionizing Care: Unleashing the Potential of Digital Health Technology in Physiotherapy Management for People With Cystic Fibrosis.JMIR rehabilitation and assistive technologies · 2024Article
- Improved recognition of lung function decline as signal of cystic fibrosis pulmonary exacerbation: a Cystic Fibrosis Learning Network Innovation Laboratory quality improvement initiative.BMJ open quality · 2023Article
- The Cystic Fibrosis Learning Network: A mixed methods evaluation of program goals, attributes, and impact.Learning health systems · 2023Article
- Establishing a Cystic Fibrosis Learning Network: Interventions to promote collaboration and data-driven improvement at scale.Learning health systems · 2023Article
- Transforming the nutrition care model for infants with cystic fibrosis: A qualitative study of clinicians' perspectives.Pediatric pulmonology · 2023Article
- Remotely addressing health-related social needs (ELICIT) in cystic fibrosis: design and implementation of a multicenter screening and intervention quality improvement project.Therapeutic advances in respiratory diseaseArticle
Corrections and comments
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Authors and funding
16 authors.
Funding
Abstract
introductionThe Cystic Fibrosis Foundation chronic care guidelines recommend monitoring clinical status of a patient with cystic fibrosis (CF) through quarterly interdisciplinary visits. At the beginning of the COVID-19 pandemic, the Cystic Fibrosis Learning Network (CFLN) designed and initiated a telehealth (TH) innovation lab (TH ILab) to support transition from the classic CF care model of quarterly in-person office visits to a care model that included TH.
aimThe specific aims of the TH ILab were to increase the percentage of virtual visits with interdisciplinary care (IDC) from 60% to 85% and increase the percentage of virtual visits in which patients and families participated in shared agenda setting (AS) from 52% to 85% by 31 December 2020.
methodsThe model for improvement methodology was used to determine the ILab aims, theory, interventions and measures. In the testing phase of the ILab, data related to process and outcome measures as well as learnings from plan-do-study-act cycles were collected, analysed and shared weekly with the TH ILab teams. Participating centres created processes for IDC and AS for TH visits and developed and shared quality improvement tools specific to their local context with other centres during the ILab weekly meetings and via a secure CFLN-maintained platform.
resultsBoth specific aims were achieved ahead of the expected target date. By August 2020, 85% of the TH ILab visits provided IDC and 92% of patients were seen for CF care by teams from the TH ILab that participated in AS.
conclusionShared learning through a collaborative, data-driven process in the CFLN TH ILab rapidly led to standardised TH IDC and AS, which achieved reliable and sustainable processes which could be reproduced by other networks.
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