Jia Zhang1, Yanhong Gong1, Yuxin Zhao1, Nan Jiang1, Jing Wang1, Xiaoxv Yin2. 1. School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, People's Republic of China. 2. School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, People's Republic of China. yxx@hust.edu.cn.
Abstract
BACKGROUND: Following a doctor's prescribed medication regimen is the key to prevent recurrent stroke and adverse outcomes. Many studies have investigated post-stroke drug adherence and persistence in patients. However, a comprehensive analysis of the data is lacking. OBJECTIVES: A meta-analysis of published literature was conducted to summarize the ratio of medication adherence and persistence in patients after stroke. METHODS: Relevant studies were identified by conducting a literature search using PubMed, EMBASE and Web of Science up to April 2019. We also reviewed the reference list of the retrieved articles to identify additional studies. We included observational studies that reported data on patients' medication adherence or persistence status, or the rate of medication adherence or persistence among patients with stroke could be calculated based on the information provided. RESULTS: The overall high medication adherence rate of patients with stroke was 64.1% (95% CI: 57.4%-70.8%), and the persistence rate of patients with stroke was 72.2% (95% CI: 69.1%-75.3%). The highest persistence rate was observed in cohort studies which was 80.1% (95% CI: 76.7%-83.4%). The medication adherence rate was the highest in cases where the rates were assessed through interviews or self-reports (77.7% (95% CI: 71.3%-84.1%)). CONCLUSIONS: Medication adherence and persistence rates are low in patients after suffering a stroke. Patient medication adherence or persistence and their influencing factors should be considered for the treatment of stroke patients. More detailed disease prevention and management strategies need to be developed for stroke patients with different comorbidities.
BACKGROUND: Following a doctor's prescribed medication regimen is the key to prevent recurrent stroke and adverse outcomes. Many studies have investigated post-stroke drug adherence and persistence in patients. However, a comprehensive analysis of the data is lacking. OBJECTIVES: A meta-analysis of published literature was conducted to summarize the ratio of medication adherence and persistence in patients after stroke. METHODS: Relevant studies were identified by conducting a literature search using PubMed, EMBASE and Web of Science up to April 2019. We also reviewed the reference list of the retrieved articles to identify additional studies. We included observational studies that reported data on patients' medication adherence or persistence status, or the rate of medication adherence or persistence among patients with stroke could be calculated based on the information provided. RESULTS: The overall high medication adherence rate of patients with stroke was 64.1% (95% CI: 57.4%-70.8%), and the persistence rate of patients with stroke was 72.2% (95% CI: 69.1%-75.3%). The highest persistence rate was observed in cohort studies which was 80.1% (95% CI: 76.7%-83.4%). The medication adherence rate was the highest in cases where the rates were assessed through interviews or self-reports (77.7% (95% CI: 71.3%-84.1%)). CONCLUSIONS: Medication adherence and persistence rates are low in patients after suffering a stroke. Patient medication adherence or persistence and their influencing factors should be considered for the treatment of strokepatients. More detailed disease prevention and management strategies need to be developed for strokepatients with different comorbidities.
Authors: Hisatomi Arima; Christophe Tzourio; Ken Butcher; Craig Anderson; Marie-Germaine Bousser; Kennedy R Lees; John L Reid; Teruo Omae; Mark Woodward; Stephen MacMahon; John Chalmers Journal: Stroke Date: 2006-04-20 Impact factor: 7.914
Authors: P M Rothwell; A J Coull; M F Giles; S C Howard; L E Silver; L M Bull; S A Gutnikov; P Edwards; D Mant; C M Sackley; A Farmer; P A G Sandercock; M S Dennis; C P Warlow; J M Bamford; P Anslow Journal: Lancet Date: 2004-06-12 Impact factor: 79.321