Predictors of Medication Adherence in Ischemic Stroke Patients
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Abstract
The objectives of this descriptive predictive research were to study medication adherence in stroke patients and identify its predictive factors, including age, beliefs about the necessity of medication, concern of medication, perceived severity, knowledge, depression, and doctor-patients relationship. A simple random sampling was used to recruit subjects from Rajavithi hospital and Prasat Neurological Institute, totally 130 subjects. Data were collected by using 8 questionnaires: 1) demographic data form, 2) health data sheet, 3) beliefs about medication questionnaire (BMQ), 4) stroke knowledge, 5) perceived severity of stroke, 6) doctor-patients relationship, 7) depression questionnaire (9Q), and 8) medication adherence. The questionnaires were tested for content validity by 5 experts, their CVIs were .80, 1.00, 1.00, 1.00, 1.00, and 1.00, respectively. Cronbach’s alpha coefficients of questionnaire number 3, 5, 6, 7 and 8 were .78, .87, .78, .83 and .74, respectively. KR-20 of questionnaire number 4 was .74. Data were analyzed using stepwise multiple regression.
The findings revealed that: 1) Overall, 35.38% of stroke patients was classified as adherent to medication., 2) Four variables were significant predictors of medication adherence in stroke patients at level .05. They were perceived severity (Beta = .676), knowledge (Beta = .168), depression (Beta = -.162), and beliefs about the necessity of medication (Beta = .140). They could explain 46.30% of medication adherence in stroke patient (p < .05). However, age, doctor-patients relationship, and concern of medication were not able to predict medication adherence in stroke patients. The recommendations from this study are that using the data to support medication adherence in stroke patients by focusing on perceived severity of ischemic stroke.
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References
World Stroke Organization: WSO (2019). World stroke campaign database onthe [Internet]. 2019 [cited 2019 Jul 7]. Available from: http://www.worldstrokecampaign.org/
Phanwung N, Yu-leislob A, Ceapor A. Campaign substance paralysis issue 2018 [Internet]. 2018 [cited 2019 Jul 7]. Available from: https://ddc.moph.go.th/uploads/files/78a5b91d92a079c1a3 5867c6347a9299.pdf (in Thai)
Nualnetr N. Physical therapists and stroke in the community. North-Eastern Thai Journal of Neuroscience 2011;6(3):45-9. (in Thai)
Suwanno JO, Suwanno JU, Angkol K, Radboriruk K. Cardiovascular risk factors in young adult patients with acute ischemic stroke. Journal of Thai Stroke Society 2018;17(1):5-16. (in Thai)
Tippayanate N, Chanabutr W. Knowledge of stroke risk factors and warning signs: a case study of the stroke education program in Mahasarakham factory [Internet]. 2018 [cited 2018 Jan 2]. Available from: https://www.niems.go.th/1/Ebook/Detail/1052?group=29 (in Thai)
Thungpho P. Prevention of recurrent stroke in the elderly. North-Eastern Thai Journal of Neuroscience 2018;13(2):56-67. (in Thai)
Theiymkeao S. Recurrent ischemic stroke in Srinagarind Hospital. North-Eastern Thai Journal of Neuroscience 2009;3(1):31-8. (in Thai)
Horne R, Weinmam J. Pateints’beliefs about prescribed medicines and their role in adhereance to treatment in chronic physical illness. Journal of Pyschosomatic Research 1998;47(6):555-67.
Sadoyoo S, Jirapreeya N, Treesak C, Sangjam P. Leftover medications in patients with chronic diseases from home health care visits: a community study in Bangkok. Dialogue on Pharmacy and Health Care Practice 2014;1(1):1-7. (in Thai)
World Health Organization: WHO. Adherence to long-term therapies evidence for action [Internet]. 2016 [cited 2016 Dec 27]. Available from: https://www.who.int/chp/knowledge/publications/adherence_full_report.pdf
Sangsongrit N. Predictors of medication adherence in ischemic stroke patients [Dissertation]. Bankok: Mahidol University; 2017. (in Thai)
Horne R, Weinmam J, Hankins M. The beliefs about medicines questionnaire: the development and evaluation of a new method for assessing the cogitive representation of medication. Psychology & Health 1999;14(1):1-24.
Rujisathiyn N. The relationship between perception of illness and beliefs about medicine. Consistency in taking glucose lowering drugs in patients with type 2 diabetes mellitus [Dissertation]. Bankok: Mahidol University; 2009. (in Thai)
Jannoy R. Factors related to health behaviors for the prevention of stroke in Phetchabun Province [Dissertation]. Bankok: Mahidol University; 2012. (in Thai)
Kittiwongin P. Factors predicting drug use behavior according to the treatment criteria of schizophrenic patients using substance abuse [Dissertation]. Bankok: Chulalongkorn University; 2013. (in Thai)
Kanjanarak U. Predicting factors of drug use behavior according to the treatment criteria of schizophrenic patients in the community [Dissertation]. Bankok: Chulalongkorn University; 2002. (in Thai)
Department of Mental Health. (2015) Guideline for using mental healyh for medical personnel. Guidelines for using mental health tools for public health personnel in community hospitals. (Chronic Disease Clinic) Revised version. Nonthaburi: Printing house, Agricultural Cooperative of Thailand Limited; 2015. (in Thai)