| Literature DB >> 35812479 |
Kareem Mahmoud1, Catalina Jaramillo1, Sandra Barteit1.
Abstract
Background: COVID-19 has impacted the capacity of healthcare systems worldwide, particularly in low- and middle-income countries (LMICs), which are already under strain due to population growth and insufficient resources. Since the COVID-19 pandemic's emergence, there has been an urgent need for a rapid and adequate reaction to the pandemic's disruption of healthcare systems. To this end, telemedicine has been shown in prior research to be a feasible approach. The overarching objective of this scoping review was to determine the extent and acceptance of telemedicine in healthcare in low- and middle-income countries (LMICs) during the COVID-19 pandemic.Entities:
Keywords: digital health; global health; low and middle income countries; low resource; telemedicine; telemedicine—utilization
Mesh:
Year: 2022 PMID: 35812479 PMCID: PMC9257012 DOI: 10.3389/fpubh.2022.914423
Source DB: PubMed Journal: Front Public Health ISSN: 2296-2565
Inclusion and exclusion criteria based on the population-exposure-outcome framework.
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| Population | • Adults and children seeking medical attention at hospitals, clinics, and healthcare providers that offer telemedicine services that are reachable by patients | • Location not stated |
| Exposure | • Research primarily conducted about telemedicine | • Studies not focusing on telemedicine services |
| Outcome | • Studies reporting at least one use of the MOOC in at least one LMIC | • Studies in which the MOOC was only planned, not implemented |
| Time | • Published after 1 January 2020 and 31 April 2021 | • Published before 1 January 2020 |
| Study type | • Any primary, peer-reviewed research | • Secondary/synthesis research |
| Language | • English | • Languages other than English |
LMICs as defined by the World Bank as of January 2021.
Figure 1PRISMA flow chart.
Key characteristics of included studies.
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| −2020 | 30 | 55.6% |
| −2021 | 24 | 44.6% |
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| - India | 13 | 24.1% |
| - China | 10 | 18.6% |
| - Brazil | 7 | 13.0% |
| - Pakistan | 3 | 5.6% |
| - Turkey | 2 | 3.7% |
| - Libya | 2 | 3.7% |
| - Egypt | 2 | 3.7% |
| - Mexico | 2 | 3.7% |
| - The Philippines | 2 | 3.7% |
| - Lebanon | 1 | 1.9% |
| - Peru | 1 | 1.9% |
| - Colombia | 1 | 1.9% |
| - Kosovo | 1 | 1.9% |
| - Malawi | 1 | 1.9% |
| - North Macedonia | 1 | 1.9% |
| - Ecuador | 1 | 1.9% |
| - Iran | 1 | 1.9% |
| - Sub-Saharan Africa | 1 | 1.9% |
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| - Low-income economies | 1 | 1.9% |
| - Lower-middle-income economies | 21 | 38.9% |
| - Upper-middle-income economies | 31 | 57.4% |
| - Mixed | 1 | 1.9% |
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| - Yes | 49 | 90.7% |
| - No | 4 | 7.4% |
| - Mixed | 1 | 1.9% |
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| - Urban | 4 | 7.4% |
| - Rural | 1 | 1.9% |
| - Urban and Rural | 13 | 24.0% |
| - No mention | 36 | 66.7% |
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| - Healthcare user only | 23 | 42.6% |
| - Healthcare provider only | 5 | 9.3% |
| - Healthcare system only | 10 | 18.5% |
| - Healthcare user and healthcare provider | 7 | 13.0% |
| - Healthcare user, healthcare provider and healthcare system | 9 | 16.9% |
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| - Multi-Specialty | 22 | 38.6% |
| - Rehabilitation | 5 | 9.3% |
| - Mental health | 4 | 7.4% |
| - Neurology | 4 | 7.4% |
| - Dermatology | 3 | 5.5% |
| - Dentistry | 2 | 3.7% |
| - Pediatrics | 2 | 3.7% |
| - Ophthalmology | 2 | 3.7% |
| - Diabetology | 1 | 1.9% |
| - Emergency Medicine | 1 | 1.9% |
| - Immunology | 1 | 1.9% |
| - ICU | 1 | 1.9% |
| - Rheumatology | 1 | 1.9% |
| - Urology | 1 | 1.9% |
| - Vascular surgery | 1 | 1.9% |
| - Virology/Sexology | 1 | 1.9% |
Overview of telemedicine applications.
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| Medical consultation | 23 | 42.6% |
| Patient follow-up | 18 | 33.3% |
| Specialist consultations | 11 | 20.3% |
| Laboratory tests, drug prescription and delivery | 11 | 20.3% |
| Teletriage and screening | 6 | 11.1% |
| Counseling and telerehabilitation | 5 | 9.3% |
| Other telemedicine applications | 7 | 13.0% |
Overview of needs and reasons for employing telemedicine.
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| Restriction or disruption of routine healthcare due to COVID-19 measures | 31 | 57.4% |
| Lack of physicians | 16 | 29.6% |
| Socio-economic reasons | 4 | 7.4% |
| Protection of healthcare users/patients | 13 | 24.1% |
| Protection of healthcare providers | 9 | 16.7% |
| Pressure-relief of overburdened healthcare system | 9 | 16.7% |
| Shortages in personal protective equipment (PPE) | 4 | 7.1% |
Overview of reported benefits of using telemedicine.
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| - Increased accessibility to healthcare | 22 | 44.4% |
| - Financial saving | 10 | 18.5% |
| - Time saving | 8 | 14.8% |
| - Reduced need for transportation | 10 | 18.5% |
| - Enhanced health outcomes | 9 | 16.7% |
| - Healthcare user satisfaction | 3 | 5.6% |
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| - Financial saving | 5 | 9.3% |
| - Time saving | 9 | 16.7% |
| - Reduced need for transport | 7 | 13.0% |
| - Healthcare provider satisfaction | 3 | 5.6% |
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| - Less overcrowding | 4 | 7.4% |
| - Reduced risk of infection | 17 | 31.5% |
| - Saving resources | 11 | 30.4% |
| - Continuation of care | 8 | 14.8% |
| - Digital health record | 9 | 16.7% |
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| - Reduced traffic pollution | 2 | 3.7% |
Overview of identified facilitators of telemedicine in LMICs.
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| - Availability of infrastructure | 19 | 35.2% |
| - High mobile phone usage | 15 | 27.8% |
| - High internet usage | 6 | 11.1% |
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| 11 | 20.3% |
| - Positive attitude towards telemedicine | 6 | 11.1% |
| - Support of family and caregivers | 3 | 5.6% |
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| 3 | 5.6% |
Overview of reported barriers to telemedicine use.
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| - Unavailability of infrastructure or equipment | 11 | 20.4% |
| - Weak/slow internet connection | 8 | 14.8% |
| - Technical support | 7 | 13.0% |
| - Technical issues during consultation | 2 | 3.7% |
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| - Telemedicine policies and regulations | 5 | 14.8% |
| - Unclear reimbursement policies | 3 | 4.6% |
| - Privacy concerns | ||
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| - High implementation costs of telemedicine | 4 | 7.4% |
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| - Privacy concerns | 8 | 14.8% |
| - Acceptability issues | 8 | 14.8% |
| - Lack of orientation and understanding | 9 | 16.7% |
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| - Lack of well-trained providers | 8 | 14.8% |
| - Acceptability issues | 4 | 7.4% |
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| - Inability to conduct physical examination, perform laboratory tests, prescribe medications, or collect samples | 12 | 22.2% |
| - Healthcare user misunderstanding | 3 | 5.5% |
| - Low quality of shared images and videos | 2 | 3.7% |
| - Lack of face-to-face communication | 7 | 13.0% |
| - Time effort for telemedicine consultation | 2 | 3.7% |
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| - Privacy and confidentiality issues | 9 | 16.7% |
| - Liability issues and unclear medicolegal regulations | 5 | 9.3% |
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| - Exclusion of certain populations | 2 | 3.7% |
| - Lack of widespread availability of telemedicine | 2 | 3.7% |