Proportion and Factors Predicted Self- Medication in Elderly Population in Yogyakarta

Andriana Sari, Woro Supadmi, Dyah Aryani Perwitasari

Abstract


Pharmacists should give more attention in giving pharmaceutical care services to the elderly patients, because the decrease of physiological function could result more drug related problems. Currently, elderly patients are interesting to do self- medication before visiting the physician. Thus, our study was aimed to understand  the proportion of elderly patients who are interesting to do the self-medication and to explore the factors predicted self-medication behavior. This study was carried out by cross-sectional design. Data was collected by doing interview and giving questionnaire to the 544 elderly patients in the pharmacies of Yogyakarta
Province which were chosen by proportional area sampling method. Data was analyzed descriptively and using the chi square test to understand factors which could be influenced self medication behavior. Most of the patients choose to do the self medication (63.6%) rather than directly went to the physician (36.4%).  There were 3 predictors of self medication behavior in our study, which were occupation, income and type of disease with the RR were; 0.823 (95% CI:0.7010.965), 1.433 (95% CI:1.173-1.751) and 1.027 (95% CI: 1.059-1.376), respectively.
The occupation, income and chronic disease could predict of self medication behavior in elderly patients.


Keywords


self medication; elderly; predictor

Full Text:

PDF


DOI: http://dx.doi.org/10.12928/mf.v12i1.3025

Refbacks

  • There are currently no refbacks.


Copyright (c) 2019 Universitas Ahmad Dahlan

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.


Media Farmasi
p-ISSN 1412-7946 | e-ISSN 2503-5223
Published by Universitas Ahmad Dahlan Yogyakarta Indonesia
Website: http://journal.uad.ac.id/index.php/Media-Farmasi/index
Email: mediafarmasi@pharm.uad.ac.id


Lisensi Creative Commons

This work is licensed under a Creative Commons Attribution 4.0 International License


View Media Farmasi Stats