SCOPING REVIEW
Telemedicine for diagnosis or treatment during Covid-19: systematic review
Jéssyca Maria França de Oliveira Melo1, Filipe Reis Garcia2, Daianny Seoni de Oliveira3, Taís Carpes Lanes4, Marcos Gabriel do Nascimento Junior5, Gustavo Magno Baldin Tiguman6, Mariane Albuquerque Lima Ribeiro7
1Universidade Federal de Pernambuco, Recife, PE, Brazil
2Universidade Luterana do Brasil, Canoas, RS, Brazil
3Universidade de São Paulo, Santos, SP, Brazil
4Universidade Federal de Santa Maria, Santa Maria, RS, Brazil
5Universidade Tiradentes, Aracaju, SE, Brazil
6Universidade de Campinas, Campinas, SP, Brazil
7Universidade Federal do Acre, Rio Branco, AC, Brazil
ABSTRACT
Objective: To describe the use of telemedicine by health professionals for diagnosis or treatment of patients during the Covid-19 pandemic. Method: This is a systematic literature review of observational studies. Five databases were used. The assessment of the studies methodological quality occurred individually among the revisors and the Joanna Briggs Institute (JBI) tool was used. Results: The reviewers selected 22 articles from 6,180 works. The services provided through telemedicine were consultation/screening, consultation/follow-up or monitoring, test reports, medication prescriptions and case discussions. The technological resources used were platforms using video and telephone (audio and video). The use of telemedicine made it possible to reduce their exposure to Covid-19, reduce social panic and anxiety, quickly medical specialties access and the possibility of access to diagnosis and treatment of patients with chronic and acute diseases. Conclusion: Telemedicine can be an important tool in healthcare, keeping patients and healthcare professionals safe during the Covid-19 pandemic.
Descriptors: Telemedicine; COVID-19; SARS-CoV-2.
INTRODUCTION
In December 2019, the first news of the new coronavirus SARS-CoV-2 appeared on the TV news. This disease appeared in China as a contagious and potentially lethal respiratory infection that resulted in the greatest health adversity, the coronavirus (Covid-19) pandemic. Countries have been working to contain the spread of the infection using social distancing and stay-at-home orders(1).
Even with vaccines and supporting therapies, social distancing, face masking and quarantine are also giving space to telemedicine health care. Telemedicine is defined as a telecommunication tool to disseminate information about health services(2,3). It is observed that the rise of this strategy has been growing in recent decades, and the evolution of mobile technology has made health professionals adhere to this tool and to be able to disseminate information about health(4-7).
Every pandemic and public health emergency leads to an increase in demand for medical care, which strains local capacities. To prevent increased demand for office visits and the spread of diseases, telemedicine offers a solution to quickly respond to changes in diagnostic and/or treatment options during a health emergency(4).
Telemedicine is carried out by video conference, webchat, email, via Zoom, phone calls or mixed. And these ways are capable of increasing access to care, continuing medical education and health professionals training(7). Thus, integrating the health system together with new technological possibilities aimed at bringing a perspective of improvement to clinical care, with the aim of reducing the distance between the health service and the community(5,6).
In this context, when health systems are collapsing and one needs to reduce costs and, at the same time, one needs to ensure the quality, access, completeness and equity of the service, thus, one must use strategies that can help and improve this scenario(8).
This study aims, through a systematic literature review, to describe the use of telemedicine by health professionals for diagnosis or treatment in patients during the Covid-19 pandemic.
METHOD
This is a systematic literature review with a qualitative approach. The question used to outline the research is “What are the impacts of the use of telemedicine by health professionals for the diagnosis or treatment of patients during the Covid-19 pandemic?”. The recommendations were met from the Preferred Reporting Items for Systematic Review and Meta-Analyses (PRSMA-P 2015 Guidelines)(9).
The instrument used to assess methodological quality for observational studies was The Joanna Briggs Institute (https://jbi.global/critical-appraisal-tools). All the steps were performed by three reviewers independently. A protocol for the review was registered through PROSPERO under registration number: CRD42020181435.
The databases used were: Latin American and Caribbean Literature on Health Sciences (LILACS), EMBASE (Elsevier platform), Web of Science, MEDLINE (via PubMed) and Scopus. A combination of keywords, descriptors and MeSH was used as a search strategy, as follows:
"COVID-19"[Supplementary Concept] OR (2019 novel coronavirus disease) OR (covid 19) OR (COVID-19pandemic) OR (sars-cov-2 infection) OR (COVID-19virus disease) OR (2019 novel coronavirus infection) OR (2019-ncov infection) OR (coronavirus disease 2019) OR (coronavirus disease-19) OR (2019-ncov disease) OR (COVID-19virus infection); "Telemedicine"[Mesh] OR (Connected Health) OR (Digital Health) OR (Health 2.0) OR (Health Tele-Services) OR (Health Teleservices) OR (Health, Mobile) OR (Medicine 2.0) OR (Mobile Health) OR (Pervasive Computing) OR (Technologies for Healthcare) OR (Pervasive Health) OR Telecare OR Telecure OR Telehealth OR (Teleservices in the Health Sector) OR (Ubiquitous Health) OR eHealth OR mHealth OR (mHealth Alliance) OR u-Health”.
The Population, Intervention, Comparison, Outcome, and Study Design Criteria (PICOS) were used to determine the inclusion and exclusion of articles for this review. The following articles were included: Use of telemedicine by healthcare professionals for diagnosis or treatment of patients during the Covid-19 pandemic; Patients of all age groups without restriction of pathologies treated by telemedicine during the Covid-19 pandemic period; Observational Studies (case report and series, cross-sectional, cohort and case-control) and all languages. Review studies and gray literature were excluded.
Search results were stored using Rayyan for records management by embedding all searches in a library. Duplicate records will be removed. A first screening of all articles will be done at the title and abstract search level based on scope. Inclusion criteria will be applied by three independent reviewers. The reviewers performed the analysis of each full-text article according to the inclusion and exclusion criteria. The selection of articles was carried out between December 2019 and May 2020 (Figura 1).
Source: Flowchart adapted from Peters et al., 2020.
Figure 1 – PRISMA flowchart of the study selection process for inclusion of studies for the systematic review. Santa Maria, RS, Brazil, 2020
Data extraction was performed by three authors using a Microsoft Excel spreadsheet. Articles were evaluated for publication date, year, country, target population/health professional, service provided (admission, consultation, meeting, remote patient monitoring, communication and counseling), technology used (asynchronous, synchronous, videoconferencing, mobile and mixed), sample size, study type, and category of findings (quality/technique, implementation, insights, clinical process/outcomes, cost-effectiveness).
The strategy for data synthesis was narrative and descriptive of the findings. The assessment of the methodological quality of the individual studies was performed by three researchers independently using Critical Appraisal Tools from Joanna Brigg’s Institute (JBI)(10).
The JBI is a tool used for methodological analysis of observational and experimental studies. In this aspect, the evaluation was used for observational studies, being a case report with 8 domains, a cohort study with 11 domains, a case series with 10 domains and a case-control study with 10 domains. The domains were answered with “yes”, “no”, “unclear” or “not applicable”. Data were recorded in a Microsoft Excel spreadsheet. This article did not require ethical approval because it is a literature review.
RESULTS
6,180 were found in the five databases and 769 articles were excluded due to duplicity. Of these 5,411 studies, 5,379 were excluded because they did not meet the inclusion criteria and at this stage, the selection was based on reading the title and abstract, totaling 32 studies. The 32 articles were read in full and the final selection was 22 works, according to the Figure 2. Figure 2 shows the following variables: Author, Country, Patient, Healthcare professional Service Provided, Technology Used and Study Design.
Country |
Patient |
Healthcare professional |
Service Provided |
Technology Used |
Study Design |
|
Williams et al., 2020(1) |
USA |
Ophthalmology patients. |
Doctor/ Ophthalmology |
Screening, consultation, remote patient monitoring (follow-up, pre and post-operative). |
Phone, photo or videos. |
Case report/ experience |
Middleton et al., 2020(4) |
USA |
Stroke, hypertensive, diabetic |
Physiotherapist |
Telerehabilitation (appropriate exercise program for older adults with functional limitations) |
Audio, video and/or text from participants. |
Case report |
Compton et al., 2020(5) |
USA |
Cystic fibrosis patients |
Multidisciplinary team |
Remote monitoring and consultation. |
Via internet and telephone. T |
Case series |
Damiani et al., 2020(11) |
Italy |
Patients with psoriasis. |
Multidisciplinary team in dermatology |
Video |
WhatsApp, Facetime, Skype and Zoom. |
Case control |
Baidal et al., 2020(12) |
USA |
Obese children. |
Multidisciplinary team |
Screening, virtual grouping, individual nutrition, physical activity, and mental health support. |
Video conference |
Case report |
Hong et al., 2020(2) |
China |
Vulnerable groups: the elderly, pregnant women, children and patients with chronic diseases |
Multidisciplinary team |
Consultations for exams, prescription and delivery of medication. |
Real-time video telemedicine system, phone and apps. |
Case report/ experience |
Qualliotine et al, 2020(13) |
USA |
Malignant neoplasm |
Doctor |
Postoperative guidance |
Phone and video |
Case report |
Daruich et al., 2020(14) |
Argentina |
Patients |
Doctor
|
Ophthalmological consultation and follow-up. |
Phone and video |
Case report |
Borchert et al., 2020(15) |
USA |
Patients |
Doctor |
Screening and consultation. |
Phone and video. |
Cohort |
Mann et al., 2020(3) |
USA |
Patients with respiratory problems |
Doctor/ multidisciplinary |
Urgent and non-urgent consultations |
Video conference |
Case series |
Garg et al., 2020(16) |
USA |
Patients with diabetes. |
Doctor |
Query and monitoring the diabetes. |
Virtual visits, via television, email and phone. |
Case report/ experience |
Patel et al., 2020(17) |
USA |
Children and teenagers |
Doctor
|
Non-urgent consultation |
Video conference |
Case series |
Kim et al., 2020(18) |
Korea |
Patients with Covid-19. |
Not informed |
Screening patients with Covid-19. |
Telephone |
Case report |
Ren et al., 2020(7) |
China |
Patient with Covid-19 |
Not informed |
Case discussion among physicians (outpatient and hospital data) |
Telephone mobile and video presentation. |
Case report |
Khairat et al., 2020(19) |
USA |
Patient with Covid-19 |
Doctor |
Consultations and monitoring. |
Virtual visits. Use the phone or video call. |
Cohort |
Huang et al., 2020(20) |
China |
Patient with Covid-19 |
Multidisciplinary team |
Consultation/follow-up |
Online consultation |
Case report |
Rodler et al., 2020)(21) |
Germany |
Patients with uro-oncology |
Urologist and nursing |
Monitoring of patients’ signs and symptoms |
Phone and email. |
Cohort |
DavarpanAH et al., 2020(22) |
Will |
Confirmed and / or suspected patients of Covid-19. |
Doctor |
Teleradiology |
|
Case report |
Luciani et al., 2020(23) |
Italy |
Urology patients |
Doctors
|
Queries |
Phone |
Transversal |
Boehm et al., 2020(24) |
Do not inform |
Urology patients, being oncological and non-oncological |
Doctor
|
Side dish and consultation. |
Phone and videoconferencing. |
Transversal |
Gong et al., 2020(25) |
China |
Patients with suspected covid |
Doctor |
Consultation |
Video conference |
Cohort |
Yang et al., 2020(26) |
China |
48 public dental hospitals |
Dentists |
Dental consultations |
Web chat and by phone. |
Transversal |
Figure 2 – Data extraction from the articles selected for the systematic literature review. Santa Maria, RS, Brazil, 2020
The 22 articles were carried out for methodological analysis according to the type of study being case report, case series, cross-sectional, cohort and case-control with the Critical Appraisal Tools tool (Figure 3, Figure 4 and Figure 5).
Figure 3 presents a methodological quality analysis of the type of case report study included.
|
Williams et al., 2020(1) |
Middleton et al., 2020(4) |
Baidal et al., 2020(12) |
Hong et al., 2020(2) |
Qualliotine et al., 2020(13) |
Daruich et al., 2020(14) |
Mann et al., 2020(3) |
Garg et al., 2020(16) |
Patel et al., 2020(17) |
Kim et al., 2020(18) |
Ren et al., 2020(7) |
Huang et al., 2020 (20) |
Davarpanah et al., 2020(22) |
1. Were patient’s demographic characteristics clearly described? |
No
|
Yes |
Yes |
Yes |
Yes |
Yes |
Yes |
Yes |
Yes |
Yes |
Yes |
Yes |
Yes |
2. Was the patient’s history clearly described and presented as a timeline?
|
No |
Yes |
No |
Yes |
Yes |
Yes |
Yes |
Yes |
Yes |
Yes |
NA
|
Yes |
No |
3. Was the current clinical condition of the patient on presentation clearly described?
|
Yes |
Yes |
Yes |
Yes |
Yes |
Yes |
Yes |
Yes |
Yes |
Yes |
No |
Yes |
No |
4. Were diagnostic tests or assessment |
Yes |
Yes |
Yes |
Yes |
Yes |
Yes |
Yes |
Yes |
Yes |
Yes |
Yes |
Yes |
Yes |
methods and the results clearly described?
|
|
|
|
|
|
|
|
|
|
|
|
|
|
5. Was the intervention(s) or treatment procedure(s) clearly described?
|
Yes |
Yes |
Yes |
Yes |
Yes |
Yes |
Yes |
Yes |
Yes |
Yes |
Yes |
Yes |
Yes |
6. Was the post-intervention clinical condition clearly described? |
Unclear |
Yes |
No |
Yes |
Yes |
Yes |
No |
Yes |
NA
|
NA
|
No |
Yes |
No |
7. Were adverse events (harms) or unanticipated events identified and described?
|
Yes |
No |
No |
Yes |
Yes |
NA |
No |
NA |
NA |
No |
No |
No |
Yes |
8. Does the case report provide takeaway lessons? |
Yes |
Yes |
Yes |
Yes |
Yes |
Yes |
Yes |
Yes |
Yes |
Yes |
Yes |
No |
Yes |
Figure 3 - Methodological quality analysis of the type of case report study included. Santa Maria, RS, Brazil, 2020
Not applicable (NA)
Figure 4 presents a Methodological quality analysis of the type of case series and cohort study included.
Case Series |
Compton et al., 2020(5) |
Khairat et al., 2020(19) |
Rodler et al., 2020(21) |
Gong et al., 2020(25) |
Borchert et al., 2020(15) |
1. Were there clear criteria for inclusion in the case series?
|
Yes |
|
|
|
|
2. Was the condition measured in a standard, reliable way for all participants included in the case series?
|
Yes |
|
|
|
|
3. Were valid methods used for identification of the condition for all participants included in the case series?
|
Yes |
|
|
|
|
4. Did the case series have consecutive inclusion of participants?
|
Yes |
|
|
|
|
5. Did the case series have complete inclusion of participants?
|
Yes |
|
|
|
|
6. Was there clear reporting of the demographics of the participants in the study?
|
No |
|
|
|
|
7. Was there clear reporting of clinical information of the participants?
|
Yes |
|
|
|
|
8. Were the outcomes or follow up results of cases clearly reported?
|
Yes |
|
|
|
|
9. Was there clear reporting of the presenting site(s)/clinic(s) demographic information?
|
Yes |
|
|
|
|
10. Was the statistical analysis appropriate?
|
Yes |
|
|
|
|
Cohort |
|
|
|
|
|
1.Were the two groups similar and recruited from the same population? |
|
Yes |
Yes |
Yes |
Yes |
2. Were the exposures measured similarly to assign people to both exposed and unexposed groups?
|
|
No |
Yes |
Yes |
Yes |
3. Was the exposure measured in a valid and reliable way?
|
|
No |
Yes |
Yes |
Yes |
4. Were confounding factors identified?
|
|
No |
No |
No |
No |
5. Were strategies to deal with confounding factors stated?
|
|
Yes |
No |
No |
No |
6. Were the groups/participants free of the outcome at the start of the study (or at the moment of exposure)?
|
|
Yes |
Yes |
Yes |
Yes |
7. Were the outcomes measured in a valid and reliable way?
|
|
Yes |
Yes |
Yes |
Yes |
8. Was the follow up time reported and sufficient to be long enough for outcomes to occur?
|
|
Yes |
No |
Yes |
Unclear |
9. Was follow up complete, and if not, were the reasons to loss to follow up described explored?
|
|
Yes |
No |
Yes |
Yes |
10. Were the strategies to address incomplete follow up utilized?
|
|
No |
No |
Yes |
Yes |
11. Was appropriate statistical analysis used? |
|
No |
No |
Yes |
Yes |
Figure 4 - Methodological quality analysis of the type of case series and cohort study included. Santa Maria, RS, Brazil, 2020
Figure 5 presents a methodological quality of Cross-sectional studies and Case-Controls included.
Analytical Cross Sectional |
Luciani et al., 2020(23) |
Yang et al., 2021(26) |
Damiani et al., 2020(11) |
Boehm et al., 2020(24) |
1.Were the criteria for inclusion in the sample clearly defined?
|
Yes |
Unclear |
|
Yes
Yes |
2. Were the study subjects and the setting described in detail?
|
Yes |
Yes |
|
No |
3. Was the exposure measured in a valid and reliable way?
|
Yes |
Yes |
|
No |
4. Were objective, standard criteria used for measurement of the condition?
|
No |
Yes |
|
Yes
|
5. Were confounding factors identified?
|
Yes |
No |
|
No |
6. Were the strategies to deal with confounding factors stated?
|
Yes |
No |
|
Yes |
7. Were the outcomes measured in a valid and reliable way? |
Yes |
Yes |
|
Yes |
Case Control Studies |
|
|||
1. Were the groups comparable other than the presence of disease in cases or the absence of disease in controls? |
|
|
No |
|
2. Were cases and controls matched appropriately? |
|
|
No |
|
3. Were the same criteria used for identification of cases and controls? |
|
|
No |
|
4. Was exposure measured in a standard, valid and reliable way? |
|
|
No |
|
5. Was exposure measured in the same way for cases and controls? |
|
|
No |
|
6. Were confounding factors identified? |
|
|
No |
|
7. Were strategies to deal with confounding factors stated? |
|
|
No |
|
8.Were outcomes assessed in a standard, valid and reliable way for cases and controls? |
|
|
No |
|
9.Was the exposure period of interest long enough to be meaningful? |
|
|
Yes |
|
10. Was appropriate statistical analysis used? |
|
|
Yes |
|
Figure 5 - Methodological quality of Cross-sectional studies and Case-Controls included. Santa Maria, RS, Brazil, 2020
DISCUSSION
Telemedicine has provided health professionals with a reduction in their exposure to COVID-19, reduction of social panic and anxiety, access to medical specialties quickly and the possibility of access to diagnosis and treatment of patients. There was adherence by patients to the use of telemedicine in ophthalmology, and among the benefits for patients were: reduction of waiting and travel time, but they claim concern about the diagnosis and loss of contact. For physicians, it was a possibility to minimize the transmission of COVID-19 and to use it to check symptoms, screening, ensure adherence to treatment and follow up pre and postoperative patients(1).
Payra Middleton et al.(4), telehealth needs legislation that ensures this form of care and the possibility of providing health services to people with difficulty accessing health. The telemedicine strategy is favorable for implementing multidisciplinary care as long as it uses appropriate technology and clinically stable patients(5).
For the adhesion of vulnerable populations, there are some recommended strategies: reduce digital technology disparities; virtual approaches to address social needs and language barriers; Internet privacy and security; and among the challenges are refunds to users and other forms of follow-up. An important intervention for adherence to telemedicine, for example, may have been influenced by the presence of family members at home during the pandemic in the treatment proposed to children(12).
Among the advantages discussed in the studies belonging to this review, there was the possibility of precision in the diagnosis, quick access to specialists for the population with difficulty to travel, cost reduction and reduction in the number of patients and overcrowding in outpatient centers(2,11,15) and reduce concern among patients with chronic diseases(2).
In the area of urology, the use of the telemedicine service provided follow-up, consultations, guidance and prescription. More than 50% of urology patients were eligible for telehealth care and are in agreement with this type of care, as well as an efficient screening measure and protecting doctors and patients in the face of the COVID-19 pandemic and the disadvantages loss of clinical information and inaccuracies in telephone assistance(23-24).
The use of telemedicine in communicable diseases has become useful(27) to provide usual care(28). With the Covid-19 pandemic being a highly contagious disease, social distancing was recommended, and this led to an increase in the use of telemedicine(28). During this period of the pandemic, there was a 50-300-fold increase in the number of patients consulted via telemedicine(29). Another data on the use of telemedicine, 50% of physicians adhered to telemedicine and report that virtual consultation was not part of their practice(29-30).
The adhesion of telehealth technology in this scenario is evident that it is an effective and safe tool which there is a need to promote new incentives, policies and remove old barriers to telemedicine acceptance. It is clear that it is essential to follow guidelines and scientific evidence for the implementation of this system so that it can play a role in standardizing the provision of this service.
Among the benefits of telemedicine, it can reduce patient travel to the office/hospital, also causing a significant reduction in the emission of carbon dioxide and other atmospheric pollutants. There was no such description regarding pollutant reduction in this systematic review(31-33).
Regarding the use of telemedicine during the pandemic, 34.2% of the physicians claimed that telemedicine is valid in these circumstances and 42.5% stated that online consultation should be integrated into clinical practice, but 23% of the physicians reported that telemedicine was not important for their professional activity(33).
About the implementation of telemedicine, there are some negative aspects, namely: secrecy and privacy; reimbursement or payment of service bills using remote communication; and the technical or logistical difficulties involved in implementing telemedicine. Among other situations that concerned health professionals about the use of telemedicine, the issue of the patient's education level and their adherence to this practice and the legalization of prescriptions and virtual medical certificates were also mentioned(34).
Regarding the methodological evaluation of the articles, it can be mentioned that the case reports and case series studies present in this work meet the evaluation criteria, only one case report question obtained eight negative responses out of a total of 13 studies related to whether the condition post-intervention clinic was clearly described.
As for the cohort, there was a work of eleven questions and six negative answers. And of the four studies evaluated, the question “were confounding factors identified” all the evaluators' answers were negative. The three cross-sectional studies provided information to obtain a good assessment of methodological quality, but the cohort study had 80% of the criteria evaluated with negative responses by the evaluators.
The limitation was the lack of studies of randomized trials on the topic of telemedicine, and thus, the studies used for the systematic review were classified with a low level of evidence.
CONCLUSION
Telemedicine can be an important tool in health services in terms of prevention, screening, diagnosis, treatment and follow-up, keeping patients and health professionals safe during the COVID-19 pandemic even though the studies present in this review are observational.
CONFLICT OF INTERESTS
The authors have declared that there is no conflict of interests.
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Submission: 05/06/2023
Approved: 08/07/2023
Project design: Melo JMFO, Garcia FR, Oliveira DS, Lanes TC, Ribeiro MAL Data collection: Melo JMFO, Garcia FR, Oliveira DS, Lanes TC, Ribeiro MAL Data analysis and interpretation: Melo JMFO, Garcia FR, Ribeiro MAL Writing and/or critical review of the intellectual content: Melo JMFO, Garcia FR, Oliveira DS, Lanes TC, Nascimento Junior MG, Tiguman GMB, Ribeiro MAL Final approval of the version to be published: Melo JMFO, Garcia FR, Oliveira DS, Lanes TC, Nascimento Junior MG, Tiguman GMB, Ribeiro MAL Responsibility for the text in ensuring the accuracy and completeness of any part of the paper: Melo JMFO, Garcia FR, Oliveira DS, Lanes TC, Nascimento Junior MG, Tiguman GMB, Ribeiro MAL |