Affiliations 

  • 1 Department of Pharmacy, Abdul Wali Khan University Mardan, Mardan, 23200, Pakistan. zroheena@gmail.com
  • 2 Department of Pharmacy, Abdul Wali Khan University Mardan, Mardan, 23200, Pakistan. inayat.rehman@awkum.edu.pk
  • 3 Department of Pharmacy, Abdul Wali Khan University Mardan, Mardan, 23200, Pakistan
  • 4 Department of Pharmacy, University of Peshawar, Peshawar, 25120, Pakistan
  • 5 School of Medical and Life Sciences, Sunway University, 47500, Bandar Sunway, Malaysia
  • 6 Institute of Pharmaceutical Sciences, University of Veterinary and Animal Sciences, Lahore, 54000, Pakistan
J Pharm Policy Pract, 2023 Sep 19;16(1):102.
PMID: 37726861 DOI: 10.1186/s40545-023-00606-4

Abstract

BACKGROUND: Chronic kidney disease (CKD) poses a significant public health challenge. CKD patients have compromised renal function, which not only alters the pharmacokinetics of drugs but also their pharmacodynamics. Adjusting drug doses for these patients is essential to achieve the intended clinical outcomes, prevent adverse drug events, and halt further progression of the disease. Pharmacists play a pivotal role in ensuring safe and appropriate therapy for CKD patients. However, there is a noticeable absence of national dosing guidelines for CKD in Pakistan, coupled with a scarcity of studies exploring the knowledge, attitude, and perception of renal dose adjustments in the country. This study aimed to evaluate the knowledge, attitudes, and perceptions of pharmacists in the Khyber Pakhtunkhwa province and Islamabad regarding renal dose adjustments.

METHODOLOGY: A cross-sectional study was conducted to gauge the knowledge, attitude, and perception of pharmacists working in various cities of Khyber Pakhtunkhwa and the capital city, Islamabad, from February to May 2023. The Renal Dosing Questionnaire-13 (RDQ-13) scale was employed for this purpose. The survey link was disseminated through emails, and the RDQ-13 scale was also completed in person by pharmacists from hospitals, clinics, community, and retail settings who interact with CKD patients. Univariate linear regression was employed, and factors with a p value 

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.