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Adoption of Telemedicine during the COVID-19 pandemic in Ibero-America: A Systematic Literature Review

Abstract

The outbreak of COVID-19 caused a major international public health crisis and led to the imposition of social distancing measures to contain the spread of the virus. In this context, the use of telehealth skyrocketed as the only way to deliver healthcare to patients during a lockdown was remotely. The countries of Latin America and the Iberian Peninsula were severely hit by the pandemic and the prospects and challenges associated with widespread adoption of telehealth are unique. The goal of this systematic literature review is to explore how telehealth has been used during the pandemic to prevent, diagnose, treat and control diseases in Ibero-America. Thus, we sought to identify the main keywords, themes, theoretical frameworks and methodologies used by researchers in this area. We used several tools for bibliographic management like Rayyan, VOSViewer and NVIVO and followed the PRISMA protocol. Our analysis of themes showed the existence of 3 nodes within the literature: students, teachers and education. After searching in 6 databases, 1826 articles were found. After excluding the duplicates (231 articles), we screened and read the titles and abstracts of 1595 articles. Only 119 articles met the inclusion criteria. Finally, after a full-text analysis, a final sample of 106 articles was selected for analysis. Spain and Brazil are the countries who have produced the greatest volume of research in the region. The public sector is the largest funder of research on this topic by far especially at national level. Our findings show that the research output in the region of Ibero-America (Latin America and Iberia) on this topic is still relatively small when compared to regions like North America.

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Adoption of Telemedicine during the COVID-19 pandemic in Ibero-America: A Systematic Literature Review

Author: Pinto, Agostinho Sousa; Abreu, António; Costa, Eusébio; Paiva, Jerónimo; Vieira, Laís
Publisher: IADITI Editions
Year: 2023
Source: https://comum.rcaap.pt/bitstreams/be899fdc-fe4c-40ad-a286-95a353c6c9c2/download
Copy igh © 2023 by Au ho /s and Licensed by IADITI. This is an open access a icle dis ibu ed unde he C ea i e Commons A ibu ion License which pe mi s
un es ic ed use, dis ibu ion, and ep oduc ion in any medium, p o ided he o iginal wo k is p ope ly ci ed.
Jou nal o In o ma ion Sys ems Enginee ing and Managemen
2023, 8(1), 19138
e-ISSN: 2468-4376
h ps://www.jisem-jou nal.com/
Li e a u e Re iew
Adop ion o Telemedicine du ing he COVID-19
pandemic in Ibe o-Ame ica: A Sys ema ic Li e a u e
Re iew
Agos inho Sousa Pin o 1, An ónio Ab eu 1, Eusébio Cos a 2, Je ónimo Pai a 1 *, Laís Viei a3
1 CEOS.PP, Poly echnic o Po o / ISCAP, Po ugal
2 Technology School o Fa e, Fa e, Po ugal
3 EPIUni - Ins i u e o Public Heal h, Uni e si y o Po o, Po ugal
*
Co esponding Au ho :
je [email protected]
Ci a ion: Pin o, A. S., Ab eu, A., Cos a, E., Pai a, J., & Viei a, L. (2023). Adop ion o Telemedicine du ing he COVID-19 pandemic in Ibe o-
Ame ica: A Sys ema ic Li e a u e Re iew. Jou nal o In o ma ion Sys ems Enginee ing and Managemen , 8(1), 19138.
.h ps://doi.o g/10.55267/iad .07.12742
ARTICLE INFO
ABSTRACT
Recei ed: 30 No 2022
Accep ed: 15 Dec 2022
The ou b eak o COVID-
19 caused a majo in e na ional public heal h c isis and led o he imposi ion o social
dis ancing measu es o con ain he sp ead o he i us. In his con ex , he use o eleheal h sky ocke ed as he only
way o deli e heal hca e
o pa ien s du ing a lockdown was emo ely. The coun ies o La in Ame ica and he Ibe ian
Peninsula we e se e ely hi by he pandemic and he p ospec s and challenges associa ed wi h widesp ead adop ion
o eleheal h a e unique. The goal o his sys ema i
c li e a u e e iew is o explo e how eleheal h has been used du ing
he pandemic o p e en , diagnose, ea and con ol diseases in Ibe o-
Ame ica. Thus, we sough o iden i y he main
keywo ds, hemes, heo e ical amewo ks and me hodologies used by e
sea che s in his a ea. We used se e al ools
o bibliog aphic managemen like Rayyan, VOSViewe and NVIVO and ollowed he PRISMA p o ocol. Ou analysis
o hemes showed he exis ence o 3 nodes wi hin he li e a u e: s uden s, eache s and educa ion. A
e sea ching in 6
da abases, 1826 a icles we e ound. A e excluding he duplica es (231 a icles), we sc eened and ead he i les and
abs ac s o 1595 a icles. Only 119 a icles me he inclusion c i e ia. Finally, a e a ull- ex analysis, a ina
l sample o
106 a icles was selec ed o analysis. Spain and B azil a e he coun ies who ha e p oduced he g ea es olume o
esea ch in he egion. The public sec o is he la ges unde o esea ch on his opic by a especially a na ional le el
.
Ou indings show ha he esea ch ou pu in he egion o Ibe o-
Ame ica (La in Ame ica and Ibe ia) on his opic is
s ill ela i ely small when compa ed o egions like No h Ame ica.
Keywo ds: Telemedicine, eHeal h, Sys ema ic Li e a u e Re iew, COVID-19
INTRODUCTION
The mo i a ion behind he choice o his opic o esea ch
ela es o he g owing impo ance o elemedicine in a pos -
pandemic wo ld. By analyzing he exis ing li e a u e on he
adop ion o elemedicine in Ibe o-Ame ica, he goals o his SLR
a e:
 Iden i y he main esea ch hemes, keywo ds and opics;
 Re eal he main esea ch me hodologies;
 Highligh he mos ele an au ho s, jou nals and
coun ies
Telemedicine is he use o In o ma ion and communica ion
echnology (ICT) o deli e heal hca e emo ely (WHO Global
Obse a o y o eHeal h, 2010). Some sys ema ic li e a u e
e iews ollowing he PRISMA p o ocol on he opic o eHeal h
ha e been w i en (Table 1). (Alonso e al., 2021) iden i ied
China and he Uni ed Sa es as he wo coun ies wi h he la ges
numbe o pape s on he opic. The au ho also iden i ied 10
di e en agencies ha a e suppo ing esea ch on elemedicine
and 35 di e en o ganiza ions ha a e in ol ed in he
applica ion o elemedicine sys ems. The mos p ominen
o ganiza ions ha we e esea ching elemedicine applied o
COVID-19 we e Huazhong Uni e si y o Science Technology,
he Uni e si y o Queensland and he Uni e si y o Sou he n
Denma k. Telemedicine whose implemen a ion equi es a
c oss-domain esea ch app oach: 58% o he analyzed a icles
we e published in heal h ca e sciences jou nals, 16% in medical
in o ma ics jou nals and 11% in he public and occupa ional
heal h domain.
Pin o A. e al / J INFORM SYSTEMS ENG, 8(1), 19138
2 / 6
Table 1.
P e ious Sys ema ic Li e a u e Re iews abou elemedicine du ing COVID-19 based on PRISMA
S udy Sea ch Te m Da abases Pape s
(Alonso e al., 2021)
((co ona i us o COVID-19 o SARS-CoV-2)
and ( elemedicine o eHeal h o Tele- heal h o mHea lh o mobile
heal h))
Web o Science 85
(Bokolo An hony
Jn ., 2020)
S ings comp ised o he e ms: ele- heal h, elemedicine,
COVID-19, co ona i us disease 2019, pandemic, digi al heal h,
emo e ca e, hospi al- a -
home, digi alized heal h ca e, digi alized
medical ca e, i ual heal h ca e, i ual medical ca e.
PubMed, Google schola , Scopus, Web o
science, ScienceDi ec , P oQues ,
Eme ald, Taylo & F ancis, Inde science,
Sp inge , Sage, ACM, Wiley, and IEEE
Xplo e
87
(Monaghesh and
Hajizadeh, 2020)
Combina ion o keywo ds: COVID19,
COVID-19, Co ona i us, No el co ona i us, 2019-nCoV,
Wuhan co ona- i us, SARS-CoV-2, SARS2, Tele*,
Telemedicine, Tele-medicine, Tele- heal h, Tele-heal h,
Teleca e, Mobile Heal h, mHeal h, Elec onic heal h,
and eheal h
PubMed, Scopus, Embase, Web o Science,
and Science Di ec
142
(Monaghesh and Hajizadeh, 2020) concluded ha he use
o eleheal h imp o es he p o ision o heal hca e especially
du ing he pandemic. I allows pa ien s and heal hca e wo ke s
who a e sel -isola ing o educe he isk o COVID-19 in ec ion,
mo bidi y and mo ali y du ing he pandemic. By using
elecommunica ions ools o iaging ( ideocon e ence, phone
call, e c…), assessing and ca ing o pa ien s, he numbe o
pa ien s who ecei e ace- o- ace heal hca e se ices can be
educed. Teleheal h also can also p o ide men al online heal h
se ices o isola ed pa ien s o help hem cope wi h he s ess,
dep ession and anxie y o lockdown. Alle gy and immunology
se ices can also be ende ed a a dis ance. The e a e many
easy- o-se -up li e ideo con e encing se ices ha a e use ul
o people who wan consul a ion on COVID-19, medica ion
checks, iage when elephone is no enough and pa ien s ha
a e pa icula ly anxious abou isi ing he doc o . Ano he
g oup ha could po en ially bene i om hese echnologies
a e he elde ly. Howe e , (Monaghesh and Hajizadeh, 2020)
highligh s ha he e a e ba ie s o la ge scale use o eleheal h
ha equi e u he in es iga ion namely he changes in billing
and coo dina ion o se ices.
Finally, (Bokolo An hony Jn ., 2020) showed ha
elemedicine is no hing new and ha his echnology is now
widely a ailable, low-cos and accep ed by heal hca e wo ke s
and pa ien s. In he con ex o he COVID-19 pandemic, he use
o elemedicine became a necessi y and exploded. The po en ial
o his echnology is ha i allows o examine a pa ien ’s heal h,
i ually educa e pa ien s and s o e heal h in o ma ion o
pa ien s ha is use ul o u u e examina ion. (Bokolo An hony
Jn ., 2020) ci es he US, China and Aus alia as success s o ies
in using elemedicine and ocuses on he guide- lines o he
use o elemedicine and i ual applica ions. P i acy and
consen laws a y widely among coun ies. As a esul ,
physicians should unde s and he p i acy and con iden iali y
policies ha should be ollowed du ing online consul a ions.
Physicians should d ess p o essionally, make eye con ac wi h
he pa ien s, be wa m and iendly and ensu e p ope ligh ing
in he examina ion posi ions. In addi ion, physicians should
con i m ha he pa ien has wo king mic ophones/cama a,
ha elemedicine a e co e ed by he pa ien s’ heal h insu ance
and , i necessa y, help hem use he i ual pla o m. To ensu e
p i acy, he i ual consul a ion should be in a quie place wi h
a s ong in e ne connec ion. Howe e , he adop ion o
elemedicine is a dis up i e p ocess ha s ill has many ba ie s
ela ed o he lack o in as uc u e, inadequa e unds and
inexpe ience. Ano he conce n ela es o pa ien p i acy policies.
De eloping coun ies (like hose o La in Ame ica) may also no
be able o ully adop elemedical se ices in emo e and u al
a eas whe e access o he In e ne is limi ed and e ec i e
elemedicine egula ion is lacking. Ano he challenge is educing
he inancial bu den o accessing eleheal h du ing heal h c isis
especially o low-income use s. Imp o ing he quali y o
in e ne access is also c ucial as slow in e ne may hinde he use
o ideocon e encing.
METHODOLOGY
We conduc ed a sys ema ic li e a u e e iew ollowing he
P e e ed Repo ing I ems o Sys ema ic Re iews and Me a-
Analysis (PRISMA) amewo k o (Mohe e al., 2014). PRISMA
is an e idence-based minimum se o i ems o epo ing in
sys ema ic e iews and me a-analyses.
We sea ched o a icles in July o 2021 in i e da abases
(SCOPUS, Js o , Eme ald, SciELO, Science Di ec , IEEE) using he
ollowing e ms: ("Telemedicine" OR "Teleca e" OR "eHeal h")
AND ("COVID-19" OR "Co ona i us") AND ("Accep ance" OR
"Adop ion") AND DOCTYPE (a ) AND PUBYEAR>2019. In
addi ion, o ob ain mo e a icles w i en in Ibe o-Ame ica we
also used he ollowing sea ch e ms: ("Telemedicina" OR
"Telessáude" OR "eHeal h" OR "Telesalud") AND ("COVID-19"
OR "Co ona i us") AND DOCTYPE (a ) AND PUBYEAR>2019.
We excluded duplica es, hesis, disse a ions, monog aphies,
books and o he non- pee e iewed a icles. Likewise, we only
included a icles published a e 2019, w i en in Po uguese,
English and Spanish ha ocus on elemedicine. Ini ially, 1826
a icles we e ound. Endno e, a bibliog aphic-managemen
so wa e, was used o compile and manage he da abases. Each
ci a ion included he abs ac , keywo ds and he ull ex . A e
using Endno e o exclude he duplica es (231 a icles), wo
e iewe s sc eened he i les and abs ac s o 1595 a icles using
Rayyan QCRI. All disc epancies we e esol ed by consensus
be ween esea che s. Only 122 a icles me all he c i e ia o
inclusion and we e expo ed o a RIS. ile con aining he inal
sample ha was made up o po en ially ele an s udies wi h
hei ull ex s. A icles wi hou he ull ex and all pape s whose
ull ex did no ocus on elemedicine in he egion o Ibe o-
Ame ica we e excluded. Finally, a e e iewing he ull ex s,
106 a icles we e selec ed o a e iew and analysis (Figu e 1).
Pin o A. e al / J INFORM SYSTEMS ENG, 8(1), 19138 3 / 6
We impo ed he RIS. ile con aining his inal sample o 106
a icles o VOSViewe o isualize and c ea e maps o he main
keywo ds and au ho . Au oma ic coding was used o ob ain a
dend og am ha allows us o iden i y he mos used e ms.
Finally, we also analyzed he ci a ions o iden i y he mos
ele an au ho s and jou nals, as well as coun ies in Ibe o-
Ame ica whe e mos esea ch has been conduc ed.
DISCUSSION OF RESULTS
Resea ch Keywo ds, Themes and Sub hemes
In Figu e 2, we can see a co-occu ence analysis o he
keywo ds made using VOS iewe . O he 466 keywo ds
de ec ed, only 27 mee he minimum h eshold o 4 and all o
hem we e selec ed. 5 dis inc clus e s can be iden i ied in ed (12
i ems), g een (8 i ems), blue (5 i ems), yellow (1 i em) and pu ple
(1 i em). The 3 nodes wi h he g ea es o al link s eng h we e
elemedicine (190), elemedicina (164) and co id- 19 (158).
NVIVO12 was used o make a dend og am ha shows in he
ele ance o each o he keywo ds (Figu e 3). The 3 mos
men ioned hemes we e heal h (577 men ions), ca e (416) and
pa ien (310). Telemedicine con o e sial subjec , we ca ied ou
a sen imen analysis o see i he au ho s ha e a posi i e o
nega i e ou look on his heme. O e all, he au ho s main ain a
mos ly neu al one as one could expec om a scien i ic
publica ion (Figu e 4). Howe e , he e a e mo e nega i e
e e ences (3998) han posi i e ones (2307).
Figu e 1. PRISMA Flow diag am
Figu e 2. Ne wo k isualiza ion o main keywo ds using VOSViewe 1
1 Analysis conduc ed based on bibliog aphic da a om a RIS ile wi h he selec ed e e ences o analysis (n=106). Full coun ing was used and a
minimum h eshold o 4 occu ences pe keywo d was se .
Pin o A. e al / J INFORM SYSTEMS ENG, 8(1), 19138
4 / 6
Resea ch Me hodologies
In e ms o me hodologies, quali a i e s udies make up
o e 55% o he inal sample. S udies ha used a mixed and
quan i a i e me hodologies make up 23% and 20%
espec i ely. In quali a i e s udies, he mos common ypes o
a icles a e li e a u e e iews (14 a icles) and case s udy
analysis. Many au ho s sough o e iew he li e a u e on he
use o elemedicine in managing a speci ic disease like
Pa kinson (Mo eno López e al., 2020), pedia ic epilepsy
(Gómez e al., 2020) and ch onic obs uc i e pulmona y disease
(Ba bosa e al., 2020).
The mos s udied s akeholde s in elemedicine a e pa ien s
(28 a icles) ollowed by heal hca e wo ke s (13 a icles). The e
a e a ew s udies ha analyze his complex phenomenon he
poin o iew o bo h pa ien s and heal hca e wo ke s.
The mos widely used da a ga he ing ins umen s a e online
su eys/ques ionnai es (27 a icles). Besides su eys, o he da a
ga he ing ins umen s used we e in e iews and exis ing
da abases. In quan i a i e empi ical s udies, esea che s used
s a is ical so wa e o analyze he da a like SPSS. In mixed and
quan i a i e s udies, 19 a icles used jus desc ip i e s a is ics
(dis ibu ion, dispe sion and cen al endency) o p o ide basic
desc ip ions o da a om a sample. Howe e , in 16 a icles, he
au ho s use mo e ad anced in e en ial s a is ics me hods
(ANOVA, -squa e, Chi-Squa e). One a icle used S uc u al
Equa ion Modeling (SEM) echniques. By a , he mos common
limi a ion o hese s udies ela es o he size and
ep esen a i eness o he sample (especially when samples o
con enience a e used).
Figu e 3. Ne wo k isualiza ion o main keywo ds using VOSViewe 2
Figu e 4. Sen imen Analysis using NVi o123
2 Analysis conduc ed based on he ull ex s o he inal sample. NVi o sc eened e e y sen ence o all ex s. A ew Spanish e ms deemed edundan
we e excluded.
3 Analysis conduc ed based on he ull ex s o he inal sample. NVi o sc eened e e y sen ence o all ex s.
5 / 6
Pin o A. e al / J INFORM SYSTEMS ENG, 8(1), 19138
Rega ding unding, o e 78% o au ho s decla ed no
sou ces o unding. As o he a icles ha ecei ed unding, we
can classi y he unding o ganiza ions in o se e al g oups:
uni e si ies; public ins i u ions (a egional, na ional and EU
le els) and p i a e ins i u ions. In Ibe o-Ame ica, he public
sec o has been he mos ac i e in sponso ing esea ch on his
opic (17 ou o 21 a icles had, a leas , one public sponso ),
especially a na ional le el. Uni e si ies and he p i a e sec o
unded only 4 a icles ou o 21. I is also wo h s essing ha
some a icles we e unded by mo e han one ins i u ion.
Howe e , o he 21 a icles ha ecei ed unding, 81% ecei ed
unding om only one sponso and no a icle had mo e han 3
sponso s.
Au ho s, Jou nals and Coun ies
.
The mos ele an jou nal was Ac as De mo-Si iliog á icas
(4 a icles). No o he jou nal had mo e han 2 a icles. We only
included s udies ca ied ou in La in Ame ica o o m a g oup
o na ions ha a e cul u ally and geog aphically close, ha e
simila le els o de elopmen and we e hi by he pandemic a
he same ime. We also included Po ugal and Spain due o
hei cul u al p oximi y o La in Ame ica. The coun ies in
Ibe o- Ame ica wi h he mos a icles we e Spain (42 a icles),
B azil (28) and Colombia (8). In e ms o languages, e en hough
he esea ch was conduc ed by na i e Po uguese o Spanish
speaking au ho s om Ibe o-Ame ica, he mos widely used
language e- mains English (ci ca 66% o a icles in he inal
sample had a e sion in English), ollowed by Spanish (ci ca
50%) and Po uguese (ci ca 15%). I ´s also wo h no ing ha
many au ho s w o e se e al e sions o hei a icles in mo e
han one language: 23 we e w i en in English and Spanish, 10 in
English and Po uguese and 1 in Po uguese, Spanish and
Po uguese. A possible sou ce o bias de i es om he ac ha
NVi o so wa e was designed o analyze ex s in English.
Whene e possible we included he English e sion o he a icle,
howe e some a icles we e only in Po uguese o Spanish
meaning hey may no ha e been p ope ly analyzed. A co-
au ho ship analysis made using VOS iewe (Figu e 5). O he
665 au ho s, only 8 me he minimum h eshold o 2 a icles. In
he inal sample, no schola w o e mo e han 2 a icles. The low
le els o clus e ing shows ha co-au ho ship be ween au ho s on
his opic is ela i ely a e. The only was clus e composed o 6
Spanish au ho s (Bel ís, .; Ga cíaazo ín,d.; González- o ia,c.;
La o e, g.;López-b a o, a.; San os-lasoasa,s.) who published 2
a icles oge he and ha e he highes link o al link s eng h (10).
Figu e 5. Co-au ho ship analysis using VOSViewe 4
4 Analysis conduc ed based on bibliog aphic da a om a RIS ile wi h he selec ed e e ences o analysis (n=106). Full coun ing was used and a
minimum h eshold o 2 documen s pe au ho was se .

6 / 6
Pin o A. e al / J INFORM SYSTEMS ENG, 8(1), 19138
CONCLUSIONS
The aim o his sys ema ic e iew was o analyze he
exis ing li e a u e on elemedicine in Ibe o-Ame ica du ing he
COVID-19 pandemic. Mos schola s who published on his
opic, as one migh expec , ha e a backg ound in Medicine and
Heal h sciences. Howe e , schola s om o he ields like
Managemen , Psychology, Enginee ing and In o ma ion
Sys ems ha e also con ibu ed o esea ch on his complex
opic. Al hough se e al s udies ha e been ca ied ou in Ibe o-
Ame ica, esea ch in Ibe o-Ame ica on his opic lags behind
o he egions like Asia and No h Ame ica.
Telemedicine has bo h p os and cons and has eme ged as a
key al e na i e o manage heal h ca e sys ems du ing a
pandemic. In Ibe o-Ame ica, he e a e speci ic challenges
ela ed o he egions legal, cul u al and social con ex . Many o
he de eloping na ions o Ibe o-Ame ica should de elop a
na ional s a egy o expand he use o elemedicine and se ice
p o ide s should communica e he bene i s o hese
echnologies o consume .
Finally, i is impo an o discuss some o he limi a ions o
his e iew. Fi s ly, we could only include s udies om a
limi ed numbe o da abases (6). Secondly, we only included
s udies conduc ed in Ibe o-Ame ica, so cau ion needs o be
aken be o e gene alizing he indings o o he con ex s. Due o
ime cons ain s, he e iew p o ocol was no egis e ed.
Since he opic o esea ch is complex and e y ecen ,
u he esea ch is needed o s ay up o da e wi h he la es
de elopmen s o he pandemic. Fu he esea ch should also
ocus on he adop ion and use o elemedicine by ulne able
and unde se ed popula ions namely hose li ing in u al and
emo e loca ions, indigenous peoples, acial, sexual, and e hnic
mino i ies.
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