Satisfied or Frustrated? A Qualitative Analysis of Need Satisfying and Need Frustrating Experiences of Engaging With Digital Health Technology in Chronic Care
Bibliographic Data
| ID | 22069653 |
|---|---|
| Authors | Carolina Wannheden (0000-0003-2122-1083, Karolinska Institutet, corresponding author), Terese Stenfors (0000-0002-0854-8631, Karolinska Institutet), Andreas Stenling (0000-0002-0834-1040, University of Agder), Ulrica Von Thiele Schwarz (0000-0002-4771-8349, Karolinska Institutet) |
| Year | 2021 |
| Volume | 8 |
| Pages | 623773-623773 |
| Publication date | 2021-01-26 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Frontiers in Public Health (JOURNAL) |
| Journal identifiers | ISSN: 2296-2565 • E-ISSN: 2296-2565 |
| Publisher | Frontiers Media SA (PUBLISHER • CH) |
| DOI | 10.3389/fpubh.2020.623773 |
| PMID | 33585391 |
| OpenAlex | W3121422652 |
| Language | EN |
| Citations received | 10 |
| References cited | 51 |
Introduction: Digital health technologies such as self-monitoring devices and apps are becoming increasingly important as tools to promote healthy habits and support individuals in their self-care. There is still a scarcity of research that builds on motivational theory to better understand the functioning of digital health technologies. The self-determination theory (SDT) is a macro theory of motivation that delineates three basic psychological needs that are linked to different types of motivation and lead to well-being when satisfied and illbeing when frustrated. Objective: To explore how the use of a digital tool for self-monitoring and communication with healthcare satisfies or frustrates basic psychological needs across four spheres of user experience: interface, task, behavior, and life. Methods: The study was conducted in a Swedish primary care setting with individuals who participated in a pilot study of a digital health intervention for self-monitoring in chronic care management. Data from a follow-up survey with participants 7 months after recruitment were analyzed using a thematic approach mixing inductive and deductive analysis. The unit of analysis is based on a total of 642 individual answers to seven open-ended questions, from 121 respondents. Results: The analysis identified positive and negative influences of self-monitoring and digital communication with healthcare on all three psychological needs. Three main findings are that: (1) data covered all four spheres of user experiences, but most user experiences concerned the behavior and task spheres; (2) satisfaction and frustration of competence needs was more prominent than influences on other needs; (3) the same experience may be perceived as both need frustrating and need satisfying, which suggests a tension that reflects individual differences. Conclusion: Designers of digital health technologies need to take into account basic psychological needs within all spheres of user experience, from interface to life in general. Because some features may be simultaneously experienced as satisfying and frustrating by different users, these types of tools need to be flexible to accommodate for variation of user experiences. Careful design considerations that take motivational theory into account would contribute to the transformation of care for individuals with chronic conditions
Digital health · Health care · Qualitative research · Self-determination theory · Thematic analysis · Applied Psychology · Behavioral Health and Interventions · Digital Mental Health Interventions · Motivation and Self-Concept in Sports · Psychology · Social Psychology
Why Older Adults Integrate Digital Health Technology Into Their Everyday Lives
Design and Development of an eHealth Service for Collaborative Self-Management among Older Adults with Chronic Diseases
Associations between instructor online presence and humanising practices supporting learner independence
Better self-care through co-care? A latent profile analysis of primary care patients' experiences of e-health–supported chronic care management
The relationship between technical support and teachers’ artificial intelligence self-efficacy
Harsh parenting and smartphone addiction
ICT Use and Mental Health Among Asian American Older Adults
Sleep tracking
Socially Assistive Robots in Mental Healthcare
Real-World Testing of an Artificial Intelligence Conversational Agent as an Early Intervention and Support Tool in the Mental Health Referral Care Pathway
Self-Determination Theory
A meta-analysis of self-determination theory-informed intervention studies in the health domain
Basic psychological need theory
Need Satisfaction Supportive Game Features as Motivational Determinants
On psychological growth and vulnerability
Gamification for health and wellbeing
Designing for Motivation, Engagement and Wellbeing in Digital Experience
Real qualitative researchers do not count
Self-Determination Theory and Diminished Functioning
Social network activity and social well-being
Motivational Interviewing and Self–Determination Theory
Self-Determination Theory Applied to Health Contexts
The rise of motivational information systems
Why Open-Ended Survey Questions Are Unlikely to Support Rigorous Qualitative Insights
The Motivational Pull of Video Games
Understanding tailoring in communicating about health
Patient Self-management of Chronic Disease in Primary Care
Leader autonomy support in the workplace
Exercise, physical activity, and self-determination theory
The Darker and Brighter Sides of Human Existence
Toward Meaningful Engagement
User Acceptance of Information Technology
The Ethics of Digital Well-Being
Self-determination theory applied to physical education
Psychological Needs and the Facilitation of Integrative Processes
The digitally engaged patient
The online survey as a qualitative research tool
Using thematic analysis in psychology
Self-Tracking for Health and the Quantified Self
Qualitative Quality
| Citations per year | 2 |
|---|---|
| Citation span | 2021 - 2026 (6) |
| Highly cited | No |