Evaluating the influence of persuasive systems design on continuance intention, perceived effectiveness, and weight loss - Scorecard - MDSpire

Evaluating the influence of persuasive systems design on continuance intention, perceived effectiveness, and weight loss

  • By

  • Sharon Nabwire

  • Eunice Agyei

  • Heta Merikallio

  • Markku J. Savolainen

  • Janne Hukkanen

  • Harri Oinas-Kukkonen

  • June 16, 2026

  • 0 min

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Clinical Scorecard: Assessing the Impact of Persuasive Systems Design on Ongoing Engagement, Perceived Efficacy, and Weight Reduction

At a Glance

CategoryDetail
ConditionObesity and overweight
Key MechanismsBehavior change support systems (BCSS) utilizing persuasive systems design (PSD) principles
Target PopulationAdults with overweight and obesity
Care SettingDigital health interventions

Key Highlights

  • Smartphone app-based interventions significantly reduce body weight, BMI, waist circumference, and fat mass.
  • Behavior change support systems incorporate structured strategies to optimize outcomes.
  • Persuasive design principles are crucial for user engagement and behavior change.
  • The technology acceptance model is used to assess user adoption of digital interventions.
  • Effective interventions combine user-centered design with behavior change techniques.

Guideline-Based Recommendations

Diagnosis

  • Assess user perceptions of system-related features.

Management

  • Incorporate persuasive design principles in weight management apps.

Monitoring & Follow-up

  • Track user engagement and perceived effectiveness of interventions.

Risks

  • Consider ethical issues in persuasive technology design.

Patient & Prescribing Data

Adults with overweight and obesity seeking digital interventions for weight management.

Utilize apps that provide self-monitoring tools, personalized feedback, and social support.

Clinical Best Practices

  • Employ behavior change techniques alongside persuasive design principles.
  • Ensure interventions are user-friendly and transparent.
  • Analyze user characteristics and technology-related factors for effective persuasion.

Related Resources & Content

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