Chronic diseases represent a substantial burden on healthcare systems and require long-term pharmacological treatment to prevent complications and maintain optimal health outcomes. Effective management of these conditions relies heavily on patients' adherence to prescribed medication regimens. Medication non-adherence is common worldwide and is associated with disease progression, increased hospitalizations, reduced quality of life, and increased healthcare costs.
Community pharmacists are accessible healthcare professionals who are well positioned to support medication adherence through patient education, counseling, and follow-up. Despite this, medication non-adherence remains prevalent, and the factors contributing to non-adherence among patients with chronic diseases in Egypt have not been adequately studied. Sociodemographic characteristics, clinical factors, medication-related issues such as adverse effects, and the availability and quality of pharmacist counseling may all influence adherence behavior.
This study is designed as a multicenter, cross-sectional investigation conducted in community pharmacies across major Egyptian cities, including Cairo, Alexandria, and Giza. The study population includes adult patients aged 18 to 80 years who have been diagnosed with at least one chronic disease and are currently receiving pharmacological treatment for their condition.
Data will be collected using a structured, interviewer-administered questionnaire. Information gathered will include sociodemographic characteristics, clinical and medication history, and exposure to medication counseling. Medication adherence will be assessed using the Adherence in Chronic Diseases Scale (ACDS), a validated tool for evaluating adherence behaviors in patients with chronic conditions.
The primary outcome of the study is the prevalence of medication non-adherence among patients with chronic diseases attending community pharmacies. Secondary outcomes include identification of factors associated with medication non-adherence, such as medication side effects, patient-related characteristics, and pharmacist-provided counseling. Data analysis will be performed using SPSS software, with binary logistic regression applied to identify significant predictors of medication adherence. Statistical significance will be set at a p-value of less than 0.05.
The study is observational and poses minimal risk to participants. Ethical approval will be obtained from the relevant local ethics committee, and the study will be conducted in accordance with applicable ethical guidelines. Written informed consent will be obtained from all participants prior to enrollment. Participant confidentiality will be maintained through anonymization of collected data.
The results of this study are expected to generate important local evidence on medication adherence among Egyptian patients with chronic diseases and to support the development of targeted interventions and policies aimed at enhancing medication adherence and improving health outcomes in community pharmacy settings.
