Factors Affecting Rural Patients' Primary Compliance with e-Prescription: A Developing Country Perspective

Nazmul Hossain, Masuda Begum Sampa, Fumihiko Yokota, Akira Fukuda, Ashir Ahmed

Research output: Contribution to journalReview article

3 Citations (Scopus)

Abstract

Background: The electronic prescription system has emerged to reduce the ambiguity and misunderstanding associated with handwritten prescriptions. The opportunities and challenges of e-prescription system, its impact on reducing medication error, and improving patient's safety have been widely studied. However, not enough studies were conducted to explore and quantify the factors that affect rural patients' compliance with e-prescription, especially from the perspective of Asian developing countries where most of the world's population resides. Objective: The objective of this study is to explore and assess the factors that affect rural patients' primary compliance with e-prescription in Bangladesh. Methods: Data were collected from 95 randomly selected rural patients who received e-prescription through a field survey with a structured questionnaire from Bheramara subdistrict, Bangladesh, during June and July 2016. Logistic regression analysis was performed to test the research hypotheses. Results: The study found patients' gender as the most significantly influential factor (regression coefficient [Coef.] = 2.02, odds ratio [OR] = 7.51, p < 0.05) followed by visiting frequency (Coef. = 0.99, OR = 2.70, p < 0.05); education (Coef. = 0.92, OR = 2.51, p < 0.05); and distance to healthcare facility (Coef. = 0.82, OR = 2.26, p < 0.01). However, patients' age, monthly family expenditure, and use of cell phone were found insignificant. The model explains 59.40% deviance (R = 0.5940) in the response variable with its constructs. And the "Hosmer-Lemeshow" goodness-of-fit score (0.99) is also above the standard threshold (0.05), which indicates the data fit well with the model. Conclusions: The findings of this study are expected to be helpful for e-health service providers to gain a better understanding of the factors that influence their patients to comply with e-prescriptions.

Original languageEnglish
Pages (from-to)391-398
Number of pages8
JournalTelemedicine and e-Health
Volume25
Issue number5
DOIs
Publication statusPublished - May 1 2019

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Patient Compliance
Developing Countries
Prescriptions
Odds Ratio
Bangladesh
Electronic Prescribing
Medication Errors
Cell Phones
Patient Safety
Health Expenditures
Health Services
Logistic Models
Regression Analysis
Delivery of Health Care
Education
Research
Population

All Science Journal Classification (ASJC) codes

  • Health Informatics
  • Health Information Management

Cite this

Factors Affecting Rural Patients' Primary Compliance with e-Prescription : A Developing Country Perspective. / Hossain, Nazmul; Sampa, Masuda Begum; Yokota, Fumihiko; Fukuda, Akira; Ahmed, Ashir.

In: Telemedicine and e-Health, Vol. 25, No. 5, 01.05.2019, p. 391-398.

Research output: Contribution to journalReview article

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abstract = "Background: The electronic prescription system has emerged to reduce the ambiguity and misunderstanding associated with handwritten prescriptions. The opportunities and challenges of e-prescription system, its impact on reducing medication error, and improving patient's safety have been widely studied. However, not enough studies were conducted to explore and quantify the factors that affect rural patients' compliance with e-prescription, especially from the perspective of Asian developing countries where most of the world's population resides. Objective: The objective of this study is to explore and assess the factors that affect rural patients' primary compliance with e-prescription in Bangladesh. Methods: Data were collected from 95 randomly selected rural patients who received e-prescription through a field survey with a structured questionnaire from Bheramara subdistrict, Bangladesh, during June and July 2016. Logistic regression analysis was performed to test the research hypotheses. Results: The study found patients' gender as the most significantly influential factor (regression coefficient [Coef.] = 2.02, odds ratio [OR] = 7.51, p < 0.05) followed by visiting frequency (Coef. = 0.99, OR = 2.70, p < 0.05); education (Coef. = 0.92, OR = 2.51, p < 0.05); and distance to healthcare facility (Coef. = 0.82, OR = 2.26, p < 0.01). However, patients' age, monthly family expenditure, and use of cell phone were found insignificant. The model explains 59.40{\%} deviance (R = 0.5940) in the response variable with its constructs. And the {"}Hosmer-Lemeshow{"} goodness-of-fit score (0.99) is also above the standard threshold (0.05), which indicates the data fit well with the model. Conclusions: The findings of this study are expected to be helpful for e-health service providers to gain a better understanding of the factors that influence their patients to comply with e-prescriptions.",
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