ArticleJMIR research protocols2017
Protocol of a Pilot Study of Technology-Enabled Coproduction in Pediatric Chronic Illness Care.
Article in JMIR research protocols, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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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
12 citing papers in PubMed, 20 citations in OpenAlex.
- "Living life as if I never had cancer": A study of the meaning of living well in adolescents and young adults who have experienced cancer.Pediatric blood & cancer · 2020Trial
- Monitoring of immunoglobulin treatment compliance of patients with an inborn error of immunity during the pandemic period.BMC immunology · 2025Article
- Using Personas in the development of eHealth interventions for chronic pain: A scoping review and narrative synthesis.Internet interventions · 2023Article
- Measuring engagement in a collaborative learning health system: The case of ImproveCareNow.Learning health systems · 2021Article
- A Mobile Health Platform for Self-Management of Pediatric Cystic Fibrosis: Qualitative Study of Adaptation to Stakeholder Needs and Integration in Clinical Settings.JMIR formative research · 2021Article
- Technology-Enabled Health Care Collaboration in Pediatric Chronic Illness: Pre-Post Interventional Study for Feasibility, Acceptability, and Clinical Impact of an Electronic Health Record-Linked Platform for Patient-Clinician Partnership.JMIR mHealth and uHealth · 2020Article
- Impact of an Electronic Health Service on Child Participation in Pediatric Oncology Care: Quasiexperimental Study.Journal of medical Internet research · 2020Article
- A qualitative study of design stakeholders' views of developing and implementing a registry-based learning health system.Implementation science : IS · 2020Article
- A Library of Analytic Indicators to Evaluate Effective Engagement with Consumer mHealth Apps for Chronic Conditions: Scoping Review.JMIR mHealth and uHealth · 2019Article
- Clinical Adoption of mHealth Technology to Support Pediatric Cystic Fibrosis Care in Sweden: Qualitative Case Study.JMIR pediatrics and parenting · 2018Article
- Symptom Monitoring in Pediatric Oncology Using Patient-Reported Outcomes: Why, How, and Where Next.The patient · 2018Article
- Article
Corrections and comments
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Authors and funding
11 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPediatric chronic illness care models are traditionally organized around acute episodes of care and may not meet the needs of patients and their families. Interventions that extend the patient-clinician interaction beyond the health care visit, allow for asynchronous and bidirectional feedback loops that span visits and daily life, and facilitate seamless sharing of information are needed to support a care delivery system that is more collaborative, continuous, and data-driven. Orchestra is a mobile health technology platform and intervention designed to transform the management of chronic diseases by optimizing patient-clinician coproduction of care.
objectiveThe aim of this study is to assess the feasibility, acceptability, and preliminary impact of the Orchestra technology and intervention in the context of pediatric chronic illness care.
methodsThis study will be conducted in the cystic fibrosis and inflammatory bowel disease clinics at Cincinnati Children's Hospital Medical Center. We will enroll interested patients and their caregivers to work with clinicians to use the Orchestra technology platform and care model over a 6-month period. In parallel, we will use quality improvement methods to improve processes for integrating Orchestra into clinic workflows and patient/family lifestyles. We will use surveys, interviews, technology use data, and measures of clinical outcomes to assess the feasibility, acceptability, and preliminary impact of Orchestra. Outcome measures will include assessments of: (1) enrollment and dropout rates; (2) duration of engagement/sustained use; (3) symptom and patient-reported outcome tracker completion rates; (4) perceived impact on treatment plan, communication with the clinical team, visit preparation, and overall care; (5) changes in disease self-efficacy and engagement in care; and (6) clinical outcomes and health care utilization.
resultsParticipant recruitment began in mid-2015, with results expected in 2017.
conclusionsChronic disease management needs a dramatic transformation to support more collaborative, effective, and patient-centered care. This study is unique in that it is testing not only the impact of technology, but also the necessary processes that facilitate patient and clinician collaboration. This pilot study is designed to examine how technology-enabled coproduction can be implemented in real-life clinical contexts. Once the Orchestra technology and intervention are optimized to ensure feasibility and acceptability, future studies can test the effectiveness of this approach to improve patient outcomes and health care value.
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