Raniah A. Aljaizani

Mrs. Raniah A. Aljaizani

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Research Focus & Metrics

Academic Career Length

2Years (2025-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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28 April 2025 in Pharmacy Practice
Verified
Journal Article
Open access
PDF file
BAbashayer alshahil
bashayer alshahil
ZJZainab Al Jamea
Zainab Al Jamea
NANOUF ALOTAIBI
NOUF ALOTAIBI
ASAli Sumayli
Ali Sumayli
AAAbdulsalam Alasseri
Abdulsalam Alasseri
RARaniah A. Aljaizani
Raniah A. Aljaizani
Background: Prescribing errors present a critical concern in practice where junior doctors initiate the majority of prescriptions. Objective: The study aimed to evaluate the impact of pharmacist-led educational intervention provided to undergraduate medical students on the appropriateness and self-perceived readiness to prescribe medications. Methods: This pharmacist-led pre-and-post-intervention study included female undergraduate medical students enrolled in the prescription practice course between Oct 19 and Nov 15 2022, at King Fahad University Hospital in the eastern region of Saudi Arabia. The course involved three main domains: a pre-module assessment, formal training in the principles of prescription writing, and a post-module assessment. The pre-module assessment was designed to assess the students’ ability to write a prescription for a given patient scenario. After that, formal training in the principles of prescription writing was conducted, which highlighted the elements of prescription writing based on World Health Organization (WHO) guidelines for good prescription. Finally, the post-module assessment was utilized to evaluate the knowledge the students gained during the session, asking them to re-write a prescription for the same patient scenario. Results: This study assessed one hundred twenty-four students before and after writing the prescription course. The mean score and standard deviation before the course were 8.65±2.362, and they significantly improved after the course. Their mean score after the course was 14.2±0.988 (P-value <0.001). Conclusion: The pharmacist-led prescription writing intervention for undergraduate medical students has improved their skills, knowledge, and confidence. Thus, this supports incorporating prescription writing into undergraduate medical students’ education with pharmacist involvement.

28 April 2026 in Pharmacy
Verified
Journal Article
Open access
PDF file
RARaniah A. Aljaizani
Raniah A. Aljaizani
AAArwa Abdulrahman Althumairi
Arwa Abdulrahman Althumairi
KAKhalid Alamer
Khalid Alamer
SAShakil Ahmad
Shakil Ahmad
Older adults with type 2 diabetes mellitus (T2DM) are at high risk of polypharmacy and potentially inappropriate medication (PIM) use because of multimorbidity and complex treatment regimens. This systematic review and meta-analysis (PRISMA 2020; PROSPERO CRD420251149348) aimed to estimate the prevalence of polypharmacy and PIM use, describe PIM burden and patterns, and summarize the co-occurrence of PIMs among those with polypharmacy. On 7 September 2025, we searched PubMed, Scopus, Embase, Web of Science, and MEDLINE using a structured search strategy based on the PICO framework. Observational studies of older adults (≥65 years) with T2DM reporting polypharmacy and PIMs were included. Risk of bias was assessed using the JBI checklist, and prevalence estimates were synthesized using a random-effects meta-analysis. Five studies (13,350 participants) were included. Polypharmacy prevalence ranged from 43.6% to 95.3%, while PIM prevalence ranged from 23.4% to 74%. The co-occurrence of PIMs among polypharmacy users ranged from 39.6% to 74%. Commonly reported PIM classes included long-acting sulfonylureas, proton pump inhibitors, and benzodiazepines. Overall, polypharmacy and PIM use were frequently reported among older adults with T2DM; however, the wide variation in prevalence across studies indicates substantial clinical and methodological heterogeneity. These findings highlight the need for structured medication review and clinical context-based medication optimization beyond numerical thresholds.