Yara Arafat1, Mohamed Izham Mohamed Ibrahim2, Ahmed Awaisu1, Stephen Colagiuri3, Yaw Owusu1, Donald E Morisky4, Mudather AlHafiz5, Ahmed Yousif6. 1. Clinical Pharmacy and Practice Section, College of Pharmacy, Qatar University, PO Box 2713, Doha, Qatar. 2. Clinical Pharmacy and Practice Section, College of Pharmacy, Qatar University, PO Box 2713, Doha, Qatar. mohamedizham@qu.edu.qa. 3. Boden Institute, University of Sydney, Sydney, NSW, Australia. 4. Department of Community Health Sciences, UCLA Fielding School of Public Health, Los Angeles, CA, USA. 5. Pharmacy Department, Mesaimeer Healthcare Center, Doha, Qatar. 6. Pharmacy Department, Westbay Healthcare Center, Doha, Qatar.
Abstract
BACKGROUND: Qatar is currently experiencing a worrying increase in the prevalence of diabetes mellitus (DM). One of the most common reasons for uncontrolled DM is non-adherence to medications. The socio-behavioral intervention has proven effective in some chronic illnesses. OBJECTIVES: To assess the stages of change (SOC) and medication adherence scores of type 2 diabetes mellitus (T2DM) patients visiting primary healthcare institutions in Qatar, and to evaluate the cause and effect relationship between SOC and adherence to antidiabetic medications. METHODS: The 8-item Morisky Medication Adherence Scale (MMAS-8) was used to assess medication adherence, and a 2-item SOC questionnaire was utilized to classify the SOC. The analysis to determine if the SOC could predict medication adherence while controlling for demographic characteristics, total number of prescribed medications and disease duration was done using hierarchical multiple regression. RESULTS: The final analysis included 387 patients. In relation to medication adherence, majority of the patients were in the maintenance stage (76.7%), followed by the preparation stage (14.7%), the action stage (3.9%), the contemplation stage (3.4%) and the precontemplation stage (1.3%). Most of the patients were in high adherence towards antidiabetic medications (50.3%) followed by low level (26.4%) and medium level (23.3%). SOC was significant and positively predicted medication adherence, which accounted for around 58 to 60% (p < 0.001) while controlling for covariates. CONCLUSIONS: SOC was significant and positively predicted medication adherence. The study recommends that the SOC questionnaire could potentially be used to identify patients at risk for low adherence.
BACKGROUND: Qatar is currently experiencing a worrying increase in the prevalence of diabetes mellitus (DM). One of the most common reasons for uncontrolled DM is non-adherence to medications. The socio-behavioral intervention has proven effective in some chronic illnesses. OBJECTIVES: To assess the stages of change (SOC) and medication adherence scores of type 2 diabetes mellitus (T2DM) patients visiting primary healthcare institutions in Qatar, and to evaluate the cause and effect relationship between SOC and adherence to antidiabetic medications. METHODS: The 8-item Morisky Medication Adherence Scale (MMAS-8) was used to assess medication adherence, and a 2-item SOC questionnaire was utilized to classify the SOC. The analysis to determine if the SOC could predict medication adherence while controlling for demographic characteristics, total number of prescribed medications and disease duration was done using hierarchical multiple regression. RESULTS: The final analysis included 387 patients. In relation to medication adherence, majority of the patients were in the maintenance stage (76.7%), followed by the preparation stage (14.7%), the action stage (3.9%), the contemplation stage (3.4%) and the precontemplation stage (1.3%). Most of the patients were in high adherence towards antidiabetic medications (50.3%) followed by low level (26.4%) and medium level (23.3%). SOC was significant and positively predicted medication adherence, which accounted for around 58 to 60% (p < 0.001) while controlling for covariates. CONCLUSIONS: SOC was significant and positively predicted medication adherence. The study recommends that the SOC questionnaire could potentially be used to identify patients at risk for low adherence.
Entities:
Keywords:
Diabetes mellitus; Medication adherence; Primary care; Stages of change; Transtheoretical model
Authors: Ana María Salinas Martínez; Ruth Isabel Gómez Campusano; Hid Felizardo Cordero Franco; Karen Abigail Chávez Barrón; Cecilia Janeth Gutiérrez Sauceda; Francisco Javier Guzmán de la Garza; Georgina Mayela Núñez Rocha Journal: Int J Environ Res Public Health Date: 2021-03-31 Impact factor: 3.390