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

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

doi:10.1089/tmj.2018.0081

Cited by 6 publications

(3 citation statements)

References 36 publications

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“…In Tunisia, there is the establishment of Tunisian Society for e-health and Telemedicine in 2000 whose purpose is to advance the development of digital health, and in the UAE, there is the implementation of electronic medical record adoption model as well as a tool to unify medical records. [36] Performed research similar to [26], but emphasized on rural end-users' acceptance of e-health in Bheramara subdistrict, Bangladesh. The authors pointed out the existence of a portable health clinic (PHC) service that has served about 41,240 rural patients in different remote locations.…”

Section: Selected Existing Studies On E-health In Developing Countriesmentioning

confidence: 99%

Current State of ICT in Healthcare Delivery in Developing Countries

Omotosho

Ayegba²,

Emuoyibofarhe³

et al. 2019

Int. J. Onl. Eng.

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Electronic health is one of the most popular applications of information and communication technologies and it has contributed immensely to health delivery through the provision of quality health service and ubiquitous access at a lower cost. Even though this mode of health service is increasingly becoming known or used in developing nations, these countries are faced with a myriad of challenges when implementing and deploying e-health services on both small and large scale. It is estimated that the Africa population alone carries the highest percentage of the world’s global diseases despite its certain level of e-health adoption. This paper aims at analyzing the progress so far and the current state of e-health in developing countries particularly Africa and propose a framework for further improvement.

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Section: Selected Existing Studies On E-health In Developing Countriesmentioning

confidence: 99%

Current State of ICT in Healthcare Delivery in Developing Countries

Omotosho

Ayegba²,

Emuoyibofarhe³

et al. 2019

Int. J. Onl. Eng.

View full text Add to dashboard Cite

show abstract

“…Other researchers from our team have been using the data for the following purposes. Nazmul et al analyzed for finding consumer behavior pattern [12,13], measuring the influences on which the consumer select to use a remote healthcare system [14]. Nohara et al [15] analyzed the data to reduce healthcare measurement cost by excluding less important measurements.…”

Section: Introductionmentioning

confidence: 99%

A Predictive Model for Height Tracking in an Adult Male Population in Bangladesh to Reduce Input Errors

Hasan

Yokota

Islam

et al. 2020

IJERPH

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The advancement of ICT and affordability of medical sensors enable healthcare data to be obtained remotely. Remote healthcare data is erroneous in nature. Detection of errors for remote healthcare data has not been significantly studied. This research aims to design and develop a software system to detect and reduce such healthcare data errors. Enormous research efforts produced error detection algorithms, however, the detection is done at the server side after a substantial amount of data is archived. Errors can be efficiently reduced if the suspicious data can be detected at the source. We took the approach to predict acceptable range of anthropometric data of each patient. We analyzed 40,391 records to monitor the growth patterns. We plotted the anthropometric items e.g., Height, Weight, BMI, Waist and Hip size for males and females. The plots show some patterns based on different age groups. This paper reports one parameter, height of males. We found three groups that can be classified with similar growth patterns: Age group 20–49, no significant change; Age group 50–64, slightly decremented pattern; and Age group 65–100, a drastic height loss. The acceptable range can change over time. The system estimates the updated trend from new health records.

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“…As stated in existing studies, low level of medication adherence is connected with many things such as the high possibility of demise and hospitalization of people with heart failure with reduced ejection fraction [5], exposure to a high risk of sudden fractures and deaths in osteoporosis patients [2], and several other casualties. Nonadherence is chiefly high among patients with chronic diseases, especially hypertensive patients who are responsible for close to 50% of nonadherence, and by the year 2025, the prevalence of hypertension is projected to go up by 30% [3].…”

Section: Introductionmentioning

confidence: 99%

Medication Adherence: A Review and Lessons for Developing Countries

Omotosho

Ayegba

2019

Int. J. Onl. Eng.

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Most of the time, complete adherence to prescribed medication is a big step towards recovery from either chronic or acute diseases, but patients often are unaware of the adverse effects that could arise from inconsistency in adherence. The inability of patients to adhere to prescription can affect the potency of some effective therapies known to treat many conditions, and passive compliance may result in the development of resistant to drug causing a need for treatment modification. Shockingly, more than half of the drugs prescribed for patients with chronic conditions like diabetes and hypertension were found not to be taken as recommended. Adherence is so important because it can assist clinicians in successful supervision of evidence-based treatment of patients; therefore this paper presents an overview of medication adherence, non-technology and technology-based approaches, and lessons for developing countries.

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

Abstract: 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.

Cited by 6 publications

References 36 publications

Current State of ICT in Healthcare Delivery in Developing Countries

Current State of ICT in Healthcare Delivery in Developing Countries

A Predictive Model for Height Tracking in an Adult Male Population in Bangladesh to Reduce Input Errors

Medication Adherence: A Review and Lessons for Developing Countries

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