Evidence mapPaperPMID 41987150Full record

ArticleBMC health services research2026

From vision to value: a mixed methods evaluation of patient-centered care in Saudi Arabian primary healthcare centers.

Mishael Alhuseini, Duaa Aljabri, Arwa Althumairi

Abstract read
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Article in BMC health services research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Mishael AlhuseiniDepartment of Health Information Management and Technology, College of Public Health, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia. mfalhussaini@iau.edu.sa.
Duaa AljabriDepartment of Health Information Management and Technology, College of Public Health, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia.
Arwa AlthumairiDepartment of Health Information Management and Technology, College of Public Health, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe transformation of Saudi Arabia’s healthcare system under Vision 2030 emphasizes the importance of primary healthcare (PHC) centers and patient-centered care (PCC). Despite national reforms, limited research has assessed the extent to which PHC practices have adopted PCC principles. This study evaluated the impact and current status of the implementation of PCC across PHC centers in the Eastern Health Cluster of Saudi Arabia using the Patient-Centered Medical Home Assessment (PCMH-A) tool.

methodsA convergent parallel mixed-methods design was employed. Quantitative data were collected from 59 PHC centers across three health networks using the PCMH-A tool, which evaluates the implementation of PCC across seven domains. Simultaneously, qualitative data were gathered through open-ended responses embedded in the tool and analyzed thematically using Braun and Clarke’s approach.

resultsPCMH-A scores indicated moderate PCC implementation across all networks. The highest performing domain was quality improvement strategy (mean = 7.48), while patient-centered interactions scored the lowest (mean = 5.08). Comparison across networks showed that Network C consistently outperformed the others, supported by its structured leadership approach, stronger team-based care practices, and active community engagement initiatives. The qualitative findings helped explain these results. The participants reported several barriers to PCC, including centralized governance, limited access to services, poor care coordination, and low patient engagement. They also noted strengths such as improvements driven by accreditation and the use of health technology. Many of the barriers—such as limited resources, cultural factors, and uneven policy implementation—contributed to differences in PCC performance across networks.

conclusionDespite promising initiatives, significant gaps remain in PCC delivery in Saudi PHC centers, particularly in access, continuity, and patient involvement. Policy efforts should focus on decentralizing authority, investing in digital integration, and promoting culturally responsive practices. Enhancing these areas is essential for achieving Vision 2030’s goals and building an equitable, person-centered healthcare system.

trial registrationNot applicable.

Indexed as

Patient-Centered CarePrimary Health CareHumansQualitative ResearchQuality ImprovementSaudi ArabiaCare coordinationPatient-centered carePCMHPCMH-APrimary healthcareSaudi ArabiaVision 2030

Identifiers

PMID41987150
PMCPMC13202772

What Socratic holds

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LicenceCC BY-NC-ND
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Registered trials

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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.