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A Patient-Driven Mobile Health Innovation in Cystic Fibrosis Care: Comparative Cross-Case Study.

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Patient-driven health innovations require understanding provider perspectives on value and complexity for successful adoption. Early adopters and champions may not ensure long-term sustainability in cystic fibrosis care.

Keywords:
adaptabilityadoptionchronic illnesshealth care providerimplementationinnovationinterdependencymHealthmobile healthmotivationpatient-driven innovationspread

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Area of Science:

  • Health Informatics
  • Health Services Research
  • Chronic Disease Management

Background:

  • Patient-driven innovation offers benefits for chronic conditions like cystic fibrosis (CF).
  • Provider perspectives on factors facilitating or hindering implementation remain under-examined.
  • Understanding these perspectives is crucial for successful healthcare innovation adoption.

Purpose of the Study:

  • To explain variations in the adoption of a patient-driven innovation among CF clinics.
  • To identify factors influencing the implementation of patient-controlled health apps.
  • To analyze the provider perspective on innovation adoption in CF care.

Main Methods:

  • Comparative multiple-case study of 9 CF clinics (Sweden and US).
  • Utilized the NASSS-CAT framework for data collection and analysis.
  • Employed user activity data, qualitative interviews, statistical process control (SPC), and content analysis.

Main Results:

  • No nonadoption or abandonment of the patient-controlled app was observed.
  • Adoption levels varied (low, middle, high) based on maximum end-user activity.
  • Perceived complexity in value proposition, adopter system, and organization correlated with lower adoption; champions did not guarantee sustainability.

Conclusions:

  • Successful adoption and sustainability of patient-driven innovations depend on understanding patient-provider interdependency.
  • Providers' perceptions of value generation are essential for sustained implementation.
  • Addressing perceived complexity is key for widespread adoption in healthcare settings.