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ORIGINAL ARTICLE
Year : 2021  |  Volume : 10  |  Issue : 8  |  Page : 3094-3104

Model of care knowledge among Riyadh First Health Cluster staff at the Ministry of Health, Saudi Arabia


1 Family Medicine Academy, King Saud Medical City, Riyadh, Saudi Arabia
2 Vice President – Chief Medical Officer, First Health Cluster (C1), Riyadh, Saudi Arabia
3 Department of Family Medicine at College of Medicine. Al Imam Mohammad Ibn Saud Islamic University, Riyadh, Saudi Arabia
4 Faculty of Medicine – Suez Canal University, Ismailia, Egypt

Correspondence Address:
Dr. Naif A Alomari
Family Medicine Academy, King Saud Medical City, Riyadh
Saudi Arabia
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Source of Support: None, Conflict of Interest: None


DOI: 10.4103/jfmpc.jfmpc_405_21

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Purpose: This study assessed “model of care” (MoC) knowledge among Riyadh First Health Cluster (C1) staff (health workers and admin) at Saudi Arabia's Ministry of Health (MOH). Methods: This study is cross-sectional, observational, and analytic. Raw data were collected from the data warehouse of the Vision Realization Office (VRO) at the MOH. It was then entered into SPSS, Version 24, and 3,696 individuals were analyzed. Descriptive statistics were presented as numbers and percentages, and a Chi-square test was used to test for associations. The study was approved by the hospital research committee and the Institutional Review Board (HlRI-15-Dec l9-01). Results: The staff who knew of the transformation occurring in the healthcare sector were 98.2% male and 93.6% female (P < .001). The staff having more than 20 years of experience represented the highest level of understanding (44.4%). In contrast, a team with 0–1 years of experience had the lowest level of understanding (13.6%) (P < .001). However, the staff with 0–1 years of experience was associated with the highest agreement percentages (93.4%, 92.2%) while the staff with more than 20 years of experience was associated with a lower agreement of percentages (88.2%, 79.1%) (P < .001). Finally, we found pharmacists and primary healthcare centers to generally have the highest knowledge percentages across the studied dimensions (P < .001). Conclusion: The C1 staff who participated in this study had good knowledge of Saudi Arabia's MoC. We recommend future elaborating research about the Saudi MoC to compare in detail with the staff in the other sectors and reach an international benchmark.


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