Influencing Factors of Telemedicine Service in Bangladesh, 2024

Bhuiyan, Mohammad Rakibul Islam and Sayem, Md. Abu and Makhdum, Niaz (2025). Influencing Factors of Telemedicine Service in Bangladesh, 2024. [Data Collection]. Colchester, Essex: UK Data Service. 10.5255/UKDA-SN-857896

Data description (abstract)

The study explores the factors influencing the adoption of telemedicine services in Bangladesh. A quantitative approach was employed with a semi-structured questionnaire.

Key findings indicate that trust and perceived usefulness are the strongest predictors of telemedicine adoption, while perceived ease of use also plays a significant role. Resistance to use was not significant, likely due to the urgency caused by COVID-19. However, perceived risk and technology anxiety negatively impacted adoption, highlighting concerns over data security and digital literacy. Surprisingly, social influence and facilitating conditions did not significantly affect adoption.

The study suggests that addressing security concerns, improving digital literacy, and enhancing user-friendliness are critical for increasing telemedicine adoption in Bangladesh.

Data creators:

Creator Name	Affiliation	ORCID (as URL)
Bhuiyan Mohammad Rakibul Islam	Department of Management Information Systems, Begum Rokeya University	http://orcid.org/0000-0003-4284-6461
Sayem Md. Abu	Department of Local Government and Urban Development, Jatiya Kabi Kazi Nazrul Islam University	http://orcid.org/0000-0001-6690-0982
Makhdum Niaz	Department of Public Administration, Begum Rokeya University, Rangpur	http://orcid.org/0000-0003-0885-605X

Sponsors:

N/A

Topic classification:

Health
Demography (population, vital statistics and censuses)

Keywords:

ACCESS TO HEALTH SERVICES, DIGITAL TRANSFORMATION, HEALTH SERVICES, RISK, TECHNOLOGY AND INNOVATION

Date published:

30 May 2025 11:29

Last modified:

30 May 2025 11:30

Coverage and Methodology

Collection period:

Date from:	Date to:
1 February 2024	31 March 2024

Geographical area:

Bangladesh

Country:

Bangladesh

Data collection method:

This study followed an explanatory research design using a quantitative approach, grounded in the Technology Acceptance Model (TAM) and the Unified Theory of Acceptance and Use of Technology (UTAUT2). It targeted individuals aged 18 and above in Bangladesh who used telemedicine services post-pandemic. Given the rural setting and limited internet access, especially among the elderly, the study employed convenience and snowball sampling methods to collect data. An online questionnaire was distributed through social media platforms, and 276 complete responses were gathered. The survey collected demographic information and assessed factors influencing technology acceptance, using validated scales for perceived usefulness, ease of use, and trust, alongside UTAUT2 constructs. Data analysis was performed using Stata and Smart PLS, with statistical tests including descriptive analysis, reliability, validity checks, and PLS-SEM to examine relationships between constructs.

Ethical approval was obtained from the Department of Public Administration at Begum Rokeya University, Rangpur, and participants provided written consent before completing the survey. All responses were anonymized, and data was securely stored in compliance with data protection regulations. The study aimed to provide insights into the factors influencing behavioral intention to use telemedicine in Bangladesh, particularly in a post-pandemic context, with a focus on accessibility and technology acceptance.

Observation unit:

Individual

Kind of data:

Numeric

Type of data:

Cross-national survey data

Resource language:

English

Access and Administration