Cited by 140Telemedicine and Telehealth ImplementationTechnology Use by Older AdultsHealthcare Systems and Technology

Patients’ perspectives and preferences toward telemedicine versus in-person visits: a mixed-methods study on 1226 patients

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Moulaei, Khadijeh, Sheikhtaheri, Abbas, Fatehi, Farhad, Shanbehzadeh, Mostafa, Bahaadinbeigy, Kambiz·2023·BMC Medical Informatics and Decision Making

Abstract

Introduction: Despite the fact that telemedicine can eliminate geographical and time limitations and offer the possibility of diagnosing, treating, and preventing diseases by sharing reliable information, many individuals still prefer to visit medical centers for in-person consultations. The aim of this study was to determine the level of acceptance of telemedicine compared to in-person visits, identify the perceived advantages of telemedicine over in-person visits, and to explore the reasons why patients choose either of these two types of visits. Methods: We developed a questionnaire using the rational method. The questionnaire consisted of multiple-choice questions and one open-ended question. A total of 2059 patients were invited to participate in the study. Chi-square tests and descriptive statistics were employed for data analysis. To analyze the data from the open-ended question, we conducted qualitative content analysis using MAXQDA 18. Results: Out of the 1226 participants who completed the questionnaire, 865 (71%) preferred in-person visits, while 361 (29%) preferred telemedicine. Factors such as education level, specific health conditions, and prior experience with telemedicine influenced the preference for telemedicine. The participants provided a total of 183 different reasons for choosing either telemedicine (108 reasons) or in-person visits (75 reasons). Avoiding infectious diseases, saving cost, and eliminating and overcoming geographical distance barriers were three primary telemedicine benefits. The primary reasons for selecting an in-person visit were: more accurate diagnosis of the disease, more accurate and better examination of the patient by the physician, and more accurate and better treatment of the disease. Conclusion: The results demonstrate that despite the numerous benefits offered by telemedicine, the majority of patients still exhibit a preference for in-person visits. In order to promote broader acceptance of telemedicine, it becomes crucial for telemedicine services to address patient preferences and concerns effectively. Employing effective change management strategies can aid in overcoming resistance and facilitating the widespread adoption of telemedicine within the population.

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References 46 · Cited by 140

Authors
Moulaei, K., Sheikhtaheri, A., Fatehi, F., Shanbehzadeh, M., & Bahaadinbeigy, K.
Affiliations
  • Medical University of Ilam (IR)
  • Iran University of Medical Sciences (IR)
  • The University of Queensland (AU)
  • Kerman University of Medical Sciences (IR)
Corresponding author
Bahaadinbeigy, Kambiz
Venue
BMC Medical Informatics and Decision Making
Published
2023-11-15
Volume
23
Issue
1
Pages
261-261
ISSN
1472-6947 (ISSN-L)
OpenAlex
W4388705542
Cited by
140
References
46
Citations by year
2026: 45 · 2025: 68 · 2024: 27
FWCI
35.71
Type
journal article
Language
en
Open access
Locations
  • BMC Medical Informatics and Decision Making (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
Kerman University of Medical Sciences
Topics
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Telemedicine and Telehealth Implementation
  • Social Sciences › Demography › Technology Use by Older Adults
  • Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › Healthcare Systems and Technology
Keywords
telemedicine, in-person visits, patient preferences, patient acceptance, telehealth adoption, barriers to telehealth, geographic distance, health care costs, physician-patient interaction
MeSH terms
Data Analysis, Hospitals, Humans, Patients, Telemedicine, Patient Preference, Pandemics

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