ArticlePhysical therapy2022
Using a Learning Health System to Improve Physical Therapy Care for Patients With Intermittent Claudication: Lessons Learned From the ClaudicatioNet Quality System.
Article in Physical therapy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.
- Implementation strategies and outcome measures for advancing learning health systems: a mixed methods systematic review.Health research policy and systems · 2023Pooled it
- A guideline-based preference elicitation tool to enhance shared decision-making in supervised exercise therapy for patients with intermittent claudication: a process evaluation.Annals of medicine · 2025Article
- Evaluation of the implementation of personalised outcomes forecasts to optimise supervised exercise therapy in patients with intermittent claudication: a multimethods process evaluation.BMJ open quality · 2025Article
- Evaluating the implementation of personalised outcomes forecasts to optimise supervised exercise therapy in patients with intermittent claudication in the Netherlands: a multimethods study.BMJ open quality · 2024Article
- Article
- Making Diabetes Electronic Medical Record Data Actionable: Promoting Benchmarking and Population Health Improvement Using the T1D Exchange Quality Improvement Portal.Clinical diabetes : a publication of the American Diabetes Association · 2022Article
Corrections and comments
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Routinely collected outcomes data can be used to improve physical therapy care through benchmarking, personalization, continued education, and treatment optimization. This article describes how a nationwide infrastructure to routinely collect data from daily practice was created and how these data were used through a support system (called the ClaudicatioNet Quality system) to improve physical therapy care for patients with intermittent claudication in the Netherlands. ClaudicatioNet is a nationwide network of 2100 specialized physical therapists, providing high-quality supervised exercise therapy in combination with lifestyle counseling. The ClaudicatioNet Quality system uses a large national registry in which specific relevant health outcomes have been routinely collected since 2015. These data have then been used in turn to assess quality of care and provide transparency to therapists and other stakeholders. The Quality system is intended to serve as a learning health system, to support continuous learning at the therapist, practice, and network level. In this approach, individual patients and physical therapists are provided with opportunities to personalize, benchmark, and evaluate (and possibly alter) a treatment plan using routinely collected data from historical patients. The Quality system is described based on the essential elements of a learning health system. The challenges and lessons learned in developing the Quality system also are described. IMPACT: The use of routinely collected health outcomes can, if implemented correctly, facilitate continuous learning among physical therapists and contribute to person-centered care. This example of a learning health system might serve as a blueprint for physical therapists on how to optimally implement and distill meaning from routinely collected clinical data.
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Registered trials
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