Literature DB >> 23287394

Patient self-reported adherence for the most common chronic medication therapy.

Jelena Boskovic1, Marcel Leppée, Josip Culig, Mirela Eric.   

Abstract

AIMS: The aims of this study was to determine adherence to chronic disease medication measured by self-reported questionnaire.
METHODS: The survey was conducted at 106 Zagreb pharmacies, and the questionnaire was filled out by the study subjects.
RESULTS: A total 1,357 diagnoses were reported by survey respondents (i.e., an average of 2.1 diagnoses per respondent). The most common diagnoses were diseases of the circulatory system (n = 500; 36.8%). The great majority of study subjects reported forgetfulness ('I just forgot') as the main reason for skipping drug doses.
CONCLUSIONS: Among the many reasons people give for not adhering to drug treatment, forgetfulness was the most common. Common barriers to adherence are under the patient's control, so that attention to them is a necessary and important step in improving adherence. The existence of more than one cause of risk considerably increases the non-adherence risk of a patient.

Entities:  

Keywords:  Adherence; Zagreb; chronic therapy; self-report

Mesh:

Year:  2013        PMID: 23287394     DOI: 10.1177/1403494812471447

Source DB:  PubMed          Journal:  Scand J Public Health        ISSN: 1403-4948            Impact factor:   3.021


  4 in total

1.  Prevalence and Risk Factors for Preprocedural Medication Errors in Patients With Atrial Fibrillation and Atrial Flutter.

Authors:  Mark K Tuttle; Nicholas Spetko; Jonathan Waks; Kalon K L Ho; Dhruv S Kazi; Kunal Tandon; Peter Zimetbaum
Journal:  Cardiol Res       Date:  2021-07-09

Review 2.  Adherence and health care costs.

Authors:  Aurel O Iuga; Maura J McGuire
Journal:  Risk Manag Healthc Policy       Date:  2014-02-20

3.  Lacunae in noncommunicable disease control program: Need to focus on adherence issues!

Authors:  Tarundeep Singh; Nidhi Bhatnagar; Gopal Singh Moond
Journal:  J Family Med Prim Care       Date:  2017 Jul-Sep

4.  Medication Adherence Reminder System for Virtual Home Assistants: Mixed Methods Evaluation Study.

Authors:  Cynthia F Corbett; Elizabeth M Combs; Peyton S Chandarana; Isabel Stringfellow; Karen Worthy; Thien Nguyen; Pamela J Wright; Jason M O'Kane
Journal:  JMIR Form Res       Date:  2021-07-13
  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.