Master’s Thesis — Evidence on Digital Health Adoption and Health System Context

MSc Business Administration – Health · University of Groningen · Systematic Review (PRISMA) · Deductive Thematic Analysis

This thesis synthesises empirical evidence on why digital health interventions succeed or fail across different social and health system contexts. It focuses on adoption, implementation, and inequity-related constraints. The findings offer decision-relevant insights for organisations operating in the health and healthcare sector.

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Adoption constraints Health system context Social determinants Digital determinants Evidence synthesis

Positioning: Evidence synthesis for understanding feasibility, adoption conditions, and implementation risks in complex health environments (not a direct strategy proposal).

Executive takeaway

What this thesis is really about

Digital health outcomes are not determined by technology alone. Across empirical studies, implementation success is shaped by how digital tools interact with social conditions, institutional arrangements, and health system structures. While individual-level factors such as literacy and affordability matter, broader societal and system-level determinants (e.g. norms, governance, policy environment) are often under-examined despite their influence on outcomes.

So what? Digital health initiatives can underperform when decisions focus only on user-level or technical factors and overlook institutional and contextual constraints embedded in health systems.

Research focus and scope

Research focus

• Core question: How do social and digital determinants of health influence implementation and equity outcomes of digital health interventions?
• Context: Rural LMIC settings; heterogeneous sub-populations within constrained health systems
• Interventions: mHealth, telemedicine, and platform-based digital health interventions
• Evidence base: Empirical studies reporting adoption, implementation, or equity-related outcomes

Out of scope: Clinical efficacy, algorithmic performance, and cost-effectiveness modelling.

Key insights from the evidence

Insight 1: Adoption depends on more than digital capability

Evidence indicates that digital literacy influences uptake, but adoption is also constrained by health literacy, economic conditions, and interpersonal dynamics such as patient–clinician relationships.

• Implication: Usability improvements alone may not be sufficient if trust, awareness, and intermediary relationships are weak.
• Risk if ignored: Fragmented uptake and uneven outcomes across sub-populations.

Insight 2: Socioeconomic conditions shape both willingness and capacity to adopt

Socioeconomic variation affects readiness and sustained use, not only initial interest in digital health.

• Implication: Uniform rollout assumptions can miss meaningful differences in constraints across groups.
• Risk if ignored: Inefficient resource allocation and limited impact despite strong execution.

Insight 3: Determinants of adoption are dynamic

Studies suggest that capabilities and constraints evolve with changes in training, awareness, service availability, and disease-specific resources.

• Implication: Implementation benefits from ongoing monitoring rather than one-time assumptions about user readiness.
• Risk if ignored: Delayed response to changing conditions and missed opportunities for improvement.

Insight 4: Local health system context is a binding constraint

Outcomes vary across settings due to differences in infrastructure, governance, financing, and social conditions.

• Implication: Interventions require adaptation to local health systems and institutional arrangements.
• Risk if ignored: Failure to scale or sustain due to institutional misalignment.

Implications for health-related business and organisational decisions

Decision-relevant considerations

The synthesis highlights that implementation outcomes depend on system context, intermediaries, and institutional conditions, not just product or service design.

• Prioritisation: Focus on determinants that constrain feasibility and uptake, not only demand signals
• Adoption and trust: Account for health literacy, norms, and intermediary roles
• Operating context: Align initiatives with care pathways and institutional structures
• Equity and access: Treat inequities as structural constraints that affect performance
• Measurement: Complement quantitative KPIs with contextual and qualitative indicators

What this demonstrates about my capabilities

Transferable capabilities

Ability to synthesise complex, multi-context evidence and translate it into structured insights relevant for decision-making in health and healthcare environments.

• Evidence synthesis: Integrating heterogeneous studies into decision-relevant patterns
• Analytical framing: Structuring ambiguous, multi-level problems into coherent narratives
• Systems thinking: Connecting individual, interpersonal, community, and institutional factors
• Decision communication: Writing for non-academic readers while retaining methodological clarity

Methods and details (optional)

View methods and technical details

Methods overview

• Protocol: PRISMA-guided systematic review
• Approach: Deductive thematic analysis using a structured framework

Open thesis PDF →

Links

Related pages

• MSc overview →
• Recruiter summary →
• Thesis PDF →

If you’re reviewing for a role in analytics, research, or health-related business, the recruiter summary is the fastest read. The full page adds detail and context.