Chung-Ying Lin1, Huang-Tz Ou, Mehdi Nikoobakht, Anders Broström, Kristofer Årestedt, Amir H Pakpour. 1. Chung-Ying Lin, PhD Assistant Professor, Faculty of Health and Social Sciences, Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hung Hom. Huang-tz Ou, MD, PhD Associate Professor, Institute of Clinical Pharmacy and Pharmaceutical Sciences, College of Medicine; Department of Pharmacy, College of Medicine; and Department of Pharmacy, National Cheng Kung University, Tainan, Taiwan. Mehdi Nikoobakht, MD Assistant Professor, Department of Neurosurgery, Iran University of Medical Sciences, Tehran. Anders Broström, PhD Professor, Department of Nursing, School of Health and Welfare, Jönköping University, Sweden. Kristofer Årestedt, PhD Professor, Faculty of Health and Life Sciences, Linnaeus University; and Department of Research, Kalmar County Hospital, Kalmar, Sweden. Amir H. Pakpour, PhD Associate Professor, Social Determinants of Health Research Center, Qazvin University of Medical Sciences, Iran; and Department of Nursing, School of Health and Welfare, Jönköping University, Sweden.
Abstract
BACKGROUND: There is a lack of feasible and validated measures to self-assess medication adherence for older patients with stroke. In addition, the potential determinants of medication adherence for older patients with stroke remain unclear. OBJECTIVES: The aims of this study were to (1) examine the psychometric properties of a 5-item questionnaire on medication adherence, specifically the 5-item Medication Adherence Report Scale (MARS-5), and (2) explore the determinants of medication adherence. METHODS: Stroke patients older than 65 years (N = 523) filled out the MARS-5 and the Hospital Anxiety and Depression Scale. The medication possession rate (MPR) was calculated to measure the objective medication adherence. Several clinical characteristics (stroke types, blood pressure, comorbidity, HbA1c, quantity of prescribed drugs, fasting blood glucose, and total cholesterol) and background information were collected. We used Rasch analysis with a differential item functioning test to examine psychometric properties. RESULTS: All 5 items in the MARS-5 fit in the same construct (ie, medication adherence), no differential item functioning items were displayed in the MARS-5 across gender, and the MARS-5 total score was strongly correlated with the MPR (r = 0.7). Multiple regression models showed that the MARS-5 and the MPR shared several similar determinants. In addition, the variance of the MARS-5 (R = 0.567) was more than that of the MPR (R = 0.300). CONCLUSIONS: The MARS-5 is a feasible and valid self-assessed medication adherence for older patients with stroke. In addition, several determinants were found to be related to medication adherence for older patients with stroke. Healthcare providers may want to take heed of these determinants to improve medication adherence for this population.
BACKGROUND: There is a lack of feasible and validated measures to self-assess medication adherence for older patients with stroke. In addition, the potential determinants of medication adherence for older patients with stroke remain unclear. OBJECTIVES: The aims of this study were to (1) examine the psychometric properties of a 5-item questionnaire on medication adherence, specifically the 5-item Medication Adherence Report Scale (MARS-5), and (2) explore the determinants of medication adherence. METHODS:Strokepatients older than 65 years (N = 523) filled out the MARS-5 and the Hospital Anxiety and Depression Scale. The medication possession rate (MPR) was calculated to measure the objective medication adherence. Several clinical characteristics (stroke types, blood pressure, comorbidity, HbA1c, quantity of prescribed drugs, fasting blood glucose, and total cholesterol) and background information were collected. We used Rasch analysis with a differential item functioning test to examine psychometric properties. RESULTS: All 5 items in the MARS-5 fit in the same construct (ie, medication adherence), no differential item functioning items were displayed in the MARS-5 across gender, and the MARS-5 total score was strongly correlated with the MPR (r = 0.7). Multiple regression models showed that the MARS-5 and the MPR shared several similar determinants. In addition, the variance of the MARS-5 (R = 0.567) was more than that of the MPR (R = 0.300). CONCLUSIONS: The MARS-5 is a feasible and valid self-assessed medication adherence for older patients with stroke. In addition, several determinants were found to be related to medication adherence for older patients with stroke. Healthcare providers may want to take heed of these determinants to improve medication adherence for this population.
Authors: Danielle M van der Laan; Petra J M Elders; Christel C L M Boons; Giel Nijpels; Liset van Dijk; Jacqueline G Hugtenburg Journal: Front Pharmacol Date: 2018-09-26 Impact factor: 5.810
Authors: Daniela Rohde; Eva Gaynor; Margaret Large; Lisa Mellon; Kathleen Bennett; David J Williams; Linda Brewer; Patricia Hall; Elizabeth Callaly; Eamon Dolan; Anne Hickey Journal: PLoS One Date: 2019-10-17 Impact factor: 3.240