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Identified barriers and enablers provide evidence based insights for scalable health system transformation strategiesHealth system reform: 34 barriers and 27 enablers identified

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Key Takeaway
Note identified barriers and enablers to inform the design of scalable, context-sensitive health system transformation.

This systematic review and mixed-methods study synthesizes evidence from 153 peer-reviewed papers, 35 grey literature reports, and 17 expert stakeholder interviews to identify barriers and enablers for health system transformation. The scope includes service delivery decentralization, workforce adaptation, and screening and diagnostic services.

The analysis identified 67 transformation case studies, including 36 for service delivery decentralization, 16 for screening, and 12 for workforce adaptation. The authors identified 34 barriers across 6 areas: political, funding, workforce, system integration, digital infrastructure, and communication. Additionally, 27 enablers were identified across the same 6 areas. The review also synthesized 25 recommendations across 7 groups to assist in policy development.

The findings provide practical, evidence-based insights to guide policymakers in designing scalable and context-sensitive health system transformation strategies. While the study provides a broad overview of systemic barriers and enablers, the specific limitations of the study were not reported. The results are intended to inform policy design rather than direct clinical practice.

Changing how health care is delivered is hard. Whether it's moving services closer to communities, training new kinds of health workers, or expanding screening, reforms often stumble. A new review wanted to understand why some succeed and others fail. It dug through 153 peer-reviewed papers and 35 grey literature reports, and talked to 17 experts, including policy makers, academics, and clinicians. The goal: find the common barriers and enablers that shape health system transformation.

The researchers found 67 case studies of transformation efforts. From those, they identified 34 distinct barriers across six areas: political, funding, workforce, system integration, digital infrastructure, and communication. On the flip side, they found 27 enablers across the same six areas. These are the conditions that help reforms take root and spread.

For example, a barrier might be unstable funding or poor communication between levels of care. An enabler might be strong political will or a workforce trained for new roles. The review also produced 25 recommendations for policy makers, organized into seven groups, to help design reforms that are both scalable and sensitive to local context.

It's important to note that this is a review of existing research and expert opinion, not a clinical trial. The findings are based on what's been published and what experts say, so they reflect common patterns rather than proven cause-and-effect. Still, for anyone involved in reshaping health services, this offers a practical checklist of what to watch for and what to build on.

What this means for you:
Health system reforms face 34 common barriers, but 27 enablers can help them succeed.

Common questions

What are the main barriers to health system transformation?

The review identified 34 barriers across six areas: political, funding, workforce, system integration, digital infrastructure, and communication. These are common challenges that can slow or stop reforms, like unstable funding or poor coordination between different parts of the health system.

What helps health system reforms succeed?

The review found 27 enablers across the same six areas. These are conditions that support change, such as strong leadership, adequate resources, or effective communication. Understanding these can help policymakers design reforms that are more likely to work in their local context.

Who was involved in this research?

The researchers reviewed 153 peer-reviewed papers and 35 grey literature reports, and interviewed 17 expert stakeholders, including policy experts, academics, health policy experts, and clinicians. They also identified 67 case studies of health system transformation efforts.

Is this a clinical trial?

No, this is a mixed-methods study that combines a scoping literature review with semi-structured interviews. It is not a clinical trial, so it doesn't test a treatment or intervention. Instead, it gathers insights from existing research and expert opinions to understand what helps or hinders health system change.

Study Details

Study typeSystematic review
EvidenceLevel 1
PublishedSep 2026
View Original Abstract ↓
Health systems worldwide face escalating pressure from the growing burden of non-communicable diseases and population ageing, as well as chronic workforce shortages, infrastructure limitations, and structural misalignment between care models designed for acute illness and the long-term needs of complex patients. Many countries are pursuing comprehensive transformation efforts including shifting care closer to home, enhancing early disease detection and addressing workforce challenges. This study aims to identify examples of transformation across these domains, including specifically service delivery decentralisation, workforce transformation and enhancement of screening and diagnostic services for early detection and treatment - and determine common barriers and enablers in order to make recommendations for improvement. A mixed-methods approach, combining a scoping literature review and semi-structured one-on-one interviews was utilised. Searches of peer-reviewed literature were performed in EMBASE, Global Health, and Ovid MEDLINE databases. The Rayyan platform was used for systematic management of references, deduplication, and screening. Titles and abstracts were independently reviewed by two members of the research team before full-text review and data extraction. 153 peer-reviewed papers and 35 grey literature reports were analysed, whilst 17 expert stakeholders, including policy experts, academics, health policy experts and clinicians from six countries were interviewed. 67 transformation case studies were included. Of these, 36 were focused on service delivery decentralisation, 16 on screening and 12 were related to workforce adaptation. A final set of 34 barriers and 27 enablers was identified and grouped empirically into six areas including: political, governance and policy; funding, incentives & resource allocation; workforce capacity, capability & culture; system integration, structure and care coordination; digital infrastructure, technology and data; communication, engagement, and change management. Finally, a set of 25 recommendations, across seven groups, are made for policy makers and other relevant stakeholders. These findings provide practical, evidence-based insights to guide policymakers in designing scalable, context-sensitive health system transformation strategies.
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