Evidence map›Paper›PMID 41778047›Full record

ArticleFrontiers in medicine2026

A mixed-methods SWOT analysis of community pharmacy services in Saudi Arabia: stakeholder perspectives and strategic framework.

Sultan M Alshahrani

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Article in Frontiers in medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

1 author.

Sultan M AlshahraniDepartment of Clinical Pharmacy, College of Pharmacy, King Khalid University, Abha, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Community pharmacies in Saudi Arabia play a significant role in healthcare access, although clinical integration remains constrained by workforce imbalance, infrastructure limitations, and regulatory fragmentation. As the healthcare system under Saudi Vision 2030 advances, emphasizing digitalization, privatization, and decentralized care, strategic evaluation of community pharmacy contributions is crucial. This study incorporates stakeholder perspectives and contemporary evidence using a mixed-methods SWOT analysis to build an evidence-based framework driving national policy and practice reform. By blending stakeholder insights with literature findings, it provides a context-specific assessment of strengths, weaknesses, opportunities, and threats impacting community pharmacy practice in the Kingdom. Methods: A convergent mixed-methods design was applied. The qualitative strand involved a structured narrative synthesis and thematic SWOT analysis of 17 peer-reviewed papers (2015-2023) following Braun and Clarke's approach. The quantitative strand contained a 25-item Likert-scale survey of 91 pharmacy stakeholders, pharmacists, academics, regulators, industry professionals, and students across all major Saudi areas. Results from both strands were merged using joint displays and systematically translated into a TOWS matrix by cross-matching internal (strengths and weaknesses) and external (opportunities and threats) factors to develop a strategic framework aligned with Saudi Vision 2030. Results: The literature-based SWOT analysis highlighted significant strengths, including a well-developed educational infrastructure and a supportive policy environment. Weaknesses comprised inadequate clinical integration and an imbalanced workforce distribution across regions. Opportunities arose from the expansion of digital health, insurance reforms, and national workforce initiatives, while threats involved growing commercial pressures within community pharmacy practice and overlapping regulatory responsibilities. The stakeholder survey reflected substantial alignment with these patterns, identifying underuse of pharmacists' clinical roles (M = 4.09, SD = 0.72) as a main weakness and the expansion of the private healthcare sector under Saudi Vision 2030 as the top opportunity (M = 4.44, SD = 0.61). Areas of divergence were also observed, particularly in the perceived urgency of digital health implementation. Conclusion: This mixed-methods SWOT-TOWS analysis moves beyond descriptive SWOT categorization by translating integrated stakeholder and literature evidence into a strategic framework for strengthening community pharmacy services in Saudi Arabia. The findings highlight both enabling conditions and persistent structural constraints, offering a system-level roadmap to support regulatory coherence, expanded clinical roles for pharmacists, and digital health integration in alignment with Saudi Vision 2030.

Indexed as

community pharmacyhealthcare reformhealth policymixed-methods researchSaudi Arabiastakeholder perspectivesSWOT analysis

Identifiers

PMID41778047
PMCPMC12950606

What Socratic holds

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LicenceCC BY
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.