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Evaluation of eHealth deployment at primary care in the EU member states by usage of selected MCDM methods

Abstract

Information and Communication Technologies have become a revolutionary part of European healthcare in recent years. The European Commission considers eHealth as an important and appropriate tool that can contribute to cope with the challenges that are currently affecting the healthcare systems in Europe. The development of eHealth is therefore embedded in many EU strategies and is being evaluated on an ongoing basis. In the past, several studies have been carried out focusing on the evaluation of individual areas of eHealth - especially on the area of primary care secured by General Practitioners and Acute Hospitals. However, no synthesis of these works was made. This paper is focused on the proposing of an assessment for both mentioned areas of eHealth. The aim is to evaluate the eHealth deployment in the European Union Member States by the synthesis of Composite Indicators in existing studies into the evaluation model based on the application of Multiple-Criteria Decision-Making techniques. The evaluation is performed by the usage of TOPSIS, WSA, and MAPPAC method. The result of the research is the design of an evaluation framework for eHealth that enables the comparison of eHealth indicators in the international context and evaluation of eHealth deployment in European Union Member States in the form of a ranking In this ranking, the Nordic countries are among the best-rated countries, while the worst-rated countries are in Eastern Europe.

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Evaluation of eHealth deployment at primary care in the EU member states by usage of selected MCDM methods

Author: Ardielli, Eva
Publisher: De Gruyter
Year: 2020
DOI: 10.2478/revecp-2020-0016
Source: https://dspace.vsb.cz/bitstreams/feb55b1c-968d-4ad6-a807-2ac9bb4cfb44/download
Re iew o Economic Pe spec i es – Ná odohospodářský obzo
Vol. 20, Issue 3, 2020, pp. 337–359, DOI: 10.2478/ e ecp-2020-0016
© 2020 by he au ho s; licensee Re iew o Economic Pe spec i es / Ná odohospodářský obzo , Masa yk Uni e si y,
Facul y o Economics and Adminis a ion, B no, Czech Republic. This a icle is an open access a icle dis ibu ed unde
he e ms and condi ions o he C ea i e Commons A ibu ion 3.0 license, A ibu ion – Non Comme cial – No De i a i es.
E alua ion o eHeal h Deploymen a P ima y Ca e
in he EU Membe S a es by Usage o Selec ed
MCDM Me hods
E a A dielli
1
Abs ac : In o ma ion and Communica ion Technologies ha e become a e olu iona y
pa o Eu opean heal hca e in ecen yea s. The Eu opean Commission conside s
eHeal h as an impo an and app op ia e ool ha can con ibu e o cope wi h he chal-
lenges ha a e cu en ly a ec ing he heal hca e sys ems in Eu ope. The de elopmen o
eHeal h is he e o e embedded in many EU s a egies and is being e alua ed on an on-
going basis. In he pas , se e al s udies ha e been ca ied ou ocusing on he e alua ion
o indi idual a eas o eHeal h - especially on he a ea o p ima y ca e secu ed by Gen-
e al P ac i ione s and Acu e Hospi als. Howe e , no syn hesis o hese wo ks was made.
This pape is ocused on he
p oposing o an assessmen o bo h men ioned a eas o
eHeal h. The aim is o e alua e he eHeal h deploymen in he Eu opean Union Membe
S a es by he syn hesis o Composi e Indica o s in exis ing s udies in o he e alua ion
model based on he applica ion o Mul iple-C i e ia Decision-Making echniques. The
e alua ion is pe o med by he usage o TOPSIS, WSA, and MAPPAC me hod. The
esul o he esea ch is he design o an e alua ion amewo k o eHeal h ha enables
he compa ison o eHeal h indica o s in he in e na ional con ex and e alua ion o
eHeal h deploymen in Eu opean Union Membe S a es
in he o m o a anking. In his
anking, he No dic coun ies a e among he bes - a ed coun ies, while he wo s - a ed
coun ies a e in Eas e n Eu ope.
Keywo ds: eHeal h; Eu opean Union; EU coun ies; E alua ion; MCDM
JEL Classi ica ion: C38, H11, I11
Recei ed: 15 Feb ua y 2020 / Accep ed: 17 July 2020 / Sen o Publica ion: 9 Sep embe 2020
In oduc ion
Elec onic heal hca e, eHeal h, o commonly used e m “Heal h In o ma ion Technolo-
gy” (HIT) is one o he cu en global mode n ends in in o ma ics, medicine, and poli-
ics (WHO, 2016a; Oh e al., 2005). I is a b oad e m ha e e s o he elec oniza ion
o heal hca e and heal h se ices and mainly desc ibes he use o In o ma ion and
1
VSB – Technical Uni e si y o Os a a, Depa men o Public Economics, Sokolská 33, Os a-
a, Czech Republic, e a.a dielli@ sb.cz
Re iew o Economic Pe spec i es
338
Communica ions Technologies (ICT) in heal hca e (Eu opean Commission, 2004; Ey-
senbach, 2001; Adebesin, 2013). eHeal h is p ac iced and deal wi h in mos de eloped
coun ies and, o cou se, also in Eu opean Union Membe S a es. I is conside ed as an
oppo uni y o mee he challenges caused by an aging socie y and he d ama ically
ising cos s o heal hca e (Chaudh y e al., 2006). As s a ed by Ross e al. (2015) o
Chaudh y e al. (2006), he e is a g ea po en ial o eHeal h o deli e cos -e ec i e and
quali y heal hca e. The impo ance is also demons a ed by spending on eHeal h by
go e nmen s and heal hca e sys ems, which is inc easing wo ldwide (T u e , 2010 and
Eu opean Commission, 2012a).
eHeal h includes heal h se ices such as elec onic heal h eco ds, elec onic d ugs p e-
sc ibing, o heal h in o ma ion sys ems, see Ahad e al. (2019) o Ben-Assuli (2015). As
s a ed by many au ho s, i b ings clea bene i s o pa ien s, doc o s, and he en i e
heal h sys ems (Codagnone and Lupianez Villanue a, 2011; Cu ie and Seddon, 2014).
eHeal h is also a c ucial issue wi hin he Eu opean Union (EU) policy nowadays. The
EU policy in ends o link indi idual na ional eHeal h p ojec s and o coo dina e hem
(Eu opean Commission, 2018). This e o is one pa o he eEu ope ac ion plan ap-
p o ed in 2000, see (Eu opean Commission, 2012b). As s a ed by Bujnowska-Fedak
(2015), he coo dina ion o eHeal h p ojec s in ol es abo e all he apid access o
sha ed emo e medical expe assessmen s h ough ICT;
he e o e, hese solu ions a e o
in e es cu en ly.
The p esen ed a icle is ocused on he e alua ion o eHeal h in p ima y ca e in he EU.
The aim is a design o eHeal h deploymen assessmen model o he EU Membe S a es
using he mul i-c i e ia decision making (MCDM) me hods (TOPSIS, WSA, and MAP-
PAC). In his esea ch, eHeal h was e alua ed based on he syn hesis o Composi e
Indica o s o eHeal h p ocessed by he Eu opean Commission in he ield o Gene al
P ac i ione s and Acu e Hospi als. The inpu da a comp ised he esul s o “Benchma k-
ing Deploymen o eHeal h among Gene al P ac i ione s”, see Eu opean Commission
(2013) and Eu opean Commission (2018), and “Eu opean Hospi al Su ey: Benchma k-
ing Deploymen o eHeal h Se ices ”; see Eu opean Commission (2014). The empi ical
pa o his a icle was p ocessed by he usage o he SANNA so wa e (Sys em o
Analysis o Al e na i es), see mo e in Jablonský (2009).
MCDM me hods we e used because hey ep esen a sui able ool o he selec ion and
c ea ion o he anking o he la ge numbe o a ian s, see Fiala (2008). The pu pose
o he p esen ed esea ch is o syn hesize he esul s o eHeal h e alua ions o he Eu o-
pean Commission p esen ed in indi idual s udies ocusing on selec ed eHeal h a eas in
p ima y ca e. The esul s a e p esen ed in he o m o Composi e Indica o s, which we e
used as a base o he assessmen p ocesses in his esea ch. The ou pu is a comp ehen-
si e e alua ion o eHeal h deploymen a p ima y ca e in he EU Membe S a es and he
design o an e alua ion model using MCDM me hods. This syn hesis has no been ca -
ied ou ye by o he au ho s o Eu opean Commission, al hough i has been p oposed
by he Eu opean Commission, see (Eu opean Commission, 2013).
In p ac ice is he e alua ion o eHeal h an impo an ma e because i leads o he selec-
ion o app op ia e measu es o u he p og ess in he ield o elec onic heal hca e and
o p opose ecommenda ions o he de elopmen o eHeal h in he EU coun ies (Eu o-
pean Commission, 2019; OECD, 2019 o Ragha an e a., 2015).
Volume 20, Issue 3, 2020
339
Implemen a ion o eHeal h in he Con ex o eGo e nmen De elopmen
eHeal h is he subjec o in e es o majo global in e na ional o ganiza ions (Eu opean
Commission, 2012a). The e idence base o he bene i s o eHeal h has been es ablished
by Wo ld Heal h O ganisa ion (WHO), ha in 1998 ecognised he impo ance o egu-
la ing c oss-bo de ad e ising and he p omo ion o medical p oduc s h ough he in e -
ne (WHO, 1998). In 2005 WHO adop ed a esolu ion on eHeal h (WHO, 2005), ha
in i ed he WHO Membe S a es o concei e and implemen heal h in o ma ion sys ems,
o e alua e eHeal h ac i i ies and o sha e knowledge on cos -e ec i eness, hus ensu -
ing quali y, sa e y, e hical s anda ds, da a con iden iali y, p i acy, equi y and equali y
(Eu opean Commission, 2013). Acco ding o he WHO epo , see WHO (2016b), mo e
han hal o WHO Membe S a es ha e an eHeal h s a egy. Ac ual ecommenda ions o
WHO on digi al in e en ions o heal h sys em s eng hening a e se down by ecom-
menda ions on digi al in e en ions o heal h sys em s eng hening, see (WHO, 2019).
eHeal h is also highly suppo ed in Eu opean coun ies. Eu opean Commission is con-
side ing eHeal h as an app op ia e ool o cope wi h he ac ual challenges o Eu opean
heal h sys ems, including he sys em sus ainabili y ensu ing and quali y p ese ing in
he con ex o he ageing popula ion (Eu opean Commission, 2013). The quali y o he
heal h sys em is oge he wi h he good heal h o he ci izens he p io i y in all EU
Membe S a es (Gulli o d and Mo gan, 2003). The impo ance o his economic sec o
is demons a ed by he spending on heal h se ices ha a e explici ly ising wo ldwide
in he las decades (OECD, 2012). The main eason o his end is connec ed wi h he
consequence o demog aphic change and imp o emen s in medical ea men in Eu ope.
Public expendi u e on heal h and long- e m ca e has been inc easing o e he las dec-
ades in all EU coun ies and is expec ed o ise e en u he as a consequence o an
aging popula ion (Eu opean Commission, 2013; Lau and Kuziemsky, 2016). In 2015, i
accoun ed o 8.7 % o GDP in he EU and could each up o 12.6 % o GDP in 2060,
acco ding o he Eu opean Commission's “Join Repo on Heal h Ca e and Long- e m
Ca e Sys ems and Fiscal Sus ainabili y” (Eu opean Commission, 2019). Howe e , an-
o he ac o in luencing he g ow h o expendi u es in heal hca e is he in ol emen o
ICT. ICT implemen a ion in his a ea is a apidly e ol ing and expensi e eso , which
is why he inancial demand o heal hca e is inc easing (Heal h ICT Indus y G oup,
2009).
eHeal h De ini ion
eHeal h is he collec i e e m used o e e o ools and se ices ha use mode n ICT
ha can imp o e p e en ion, diagnosis, ea men , moni o ing, and managemen o
heal h in heal h ca e (Eysenbach, 2001). As s a ed by Lau and Kuziemsky (2016), i is
impo an o no e ha he e m eHeal h is used sligh ly di e en ly ac oss coun ies.
Acco ding o Eu opean Commission, eHeal h is de ined as he use o ICT in heal h
p oduc s, se ices and p ocesses combined wi h o ganisa ional change in heal hca e
sys ems and new skills, o imp o e he heal h o ci izens, e iciency and p oduc i i y in
heal hca e deli e y, and he economic and social alue o heal h (Eu opean Commission,
2012b).
eHeal h is also he ques ion o li es yle. I comp ises he acquisi ion, managemen , s o -
age, and usage o heal h in o ma ion in connec ed ne wo ks, see Bujnowska-Fedak
(2015). Acco ding o Jung and Loi a (2010) and Eu opean Commission (2013 and 2018)
Re iew o Economic Pe spec i es
340
is conside ed as po en ial ool o imp o e access o ca e and quali y o ca e. I is he way
how o suppo in o ma ion exchange, educe cos s, imp o e he quali y o pa ien ca e,
and inc ease he e iciency o he heal h sec o , see Eu opean Commission (2012b).
eHeal h co e s a eas such as in o ma ion and da a sha ing (be ween pa ien s and heal h
se ice p o ide s, hospi als, heal h p o essionals and heal h in o ma ion ne wo ks),
elec onic heal h eco ds, elemedicine se ices, po able pa ien -moni o ing de ices,
ope a ing oom scheduling so wa e o obo ised su ge y (Eu opa, 2018, Dob e e al.
(2008).
Acco ding o Eu opean Commission (Eu opa, 2018 o WHO, 2016a), digi al echnology
can imp o e heal h and ca e p o ision, allowing ci izens o li e longe and mo e heal hy
li e yea s, and i can help inno a ing he way we deli e and ecei e heal h and ca e
se ices. Digi al echnologies such as 4G/5G mobile communica ion, a i icial in elli-
gence, o supe compu ing o e new oppo uni ies o ans o m heal hca e sys ems, see
Ahad e al. (2019). They enable new app oaches o pe sonalized medicine, independen
li ing o in eg a ed heal h and social ca e, accele a ing scien i ic p og ess, ea ly diagno-
sis o diseases, and mo e e ec i e ea men s (Eu opean Commission, 2019).
Challenges and Ba ie s o eHeal h De elopmen
The eal implemen a ion o eHeal h in Eu opean coun ies is, o a la ge ex en , linked o
he le el o eGo e nmen in indi idual coun ies (WHO, 2016b). In he a ea o commu-
nica ion be ween ci izens and go e nmen a e widely used elec onic communica ion
echnologies in ecen decades (Abu-Shanab and Ba aineh, 2014). The compu e iza ion
o go e nmen is called "eGo e nmen ", see Heeks (2001) o OECD (2003). In e ne
and he usage o ICT caused and enabled he de elopmen o many sphe es o li e as
well as se ices; see Walczak and Pólkowski (2013). Also, he ield o medical se ices
is no excep ion. So, eGo e nmen cu en ly includes in e alia also he compu e iza ion
o heal h ca e (OECD/EU, 2016). eHeal h g adually came ou o a wide ield o eGo -
e nmen . Howe e , he success ac o s and implemen a ion p oblems a e la gely simila
(S oe man e al., 2011). Recognising and unde s anding success ac o s and ba ie s is
c ucial o he implemen a ion o s a egies and in e en ions o imp o e he use o
eHeal h and add essing blockages o implemen a ion (Ross e al., 2015).
The basic ac o s o success ul implemen a ion o eGo e nmen acco ding o Heeks
(2001) a e buil on h ee pilla s:
 echnology a chi ec u e, in e ope abili y, and s anda diza ion,
 ha moniza ion o da a and sys ems,
 in o ma ion managemen and secu i y
Abu-Shanab and Ba aineh (2014) desc ibe he key success ac o s o eGo e nmen
p ojec s. They a e classi ied in o h ee main dimensions: in as uc u e- ela ed, human-
ela ed, and go e nmen - ela ed. Acco ding o Alsheh i and D ew (2010), he common
challenges o eGo e nmen implemen a ion comp ise:
 echnical ba ie s – ICT in as uc u e and p i acy and secu i y (OECD, 2003)
 social ba ie s – digi al di ide and cul u e and a i ude
 o ganiza ional ba ie s – managemen suppo , esis ance o change, collabo a-
ion, lack o echnical suppo
Volume 20, Issue 3, 2020
341
 inancial ba ie s – high implemen a ion and main enance cos (Gil-Ga cia and
Pa do, 2005; Al-Wohaibi e al., 2002)
eGo e nmen o De elopmen In o ma ion Exchange p ojec coo dina ed by he Uni-
e si y o Manches e 's Ins i u e o De elopmen Policy and Managemen , see
(ego 4de , 2008) s a es, ha eHeal h success and ailu e mainly depends on he size o
he gap ha exis s be ween “cu en eali ies” and “design o he eHeal h p ojec ”. The
la ge his design- eali y gap, he g ea e he isk o eHeal h ailu e. Equally, he smalle
he gap, he g ea e he chance o success. Analysis o eHeal h p ojec s indica es ha
se en dimensions a e necessa y and su icien o p o ide an unde s anding o design-
eali y gaps: in o ma ion, echnology, p ocesses, objec i es and alues, s a ing and
skills, managemen sys ems and s uc u es, and o he esou ces ( ime and money).
Huang and Bwoma (2003) deal wi h he success ul implemen a ion o eGo e nmen and
ecommenda ions. C ucial pa s a e s a egic planning o go e nmen when de eloping
go e nmen al websi es. IT p ojec s a e cumbe some, con o e sial, and expensi e. Fo
his eason, o p ojec s o su i e and succeed, he e mus be poli ical will and leade -
ship suppo o ensu e smoo h implemen a ion. The same is ue o eHeal h p ojec s.
The main condi ions o success deal by Adebesin e al. (2013) comp ise: unde s and-
ing o he signi icance o eHeal h, ini ializa ion o ICT in as uc u es, in ol emen in
eHeal h s anda ds de elopmen and human esou ce capaci y o eHeal h s anda d de-
elopmen (Adebesin e al., 2013; T u e e al., 2010).
The e a e ini ialized a la ge numbe o na ional ini ia i es designed o eHeal h imple-
men a ion wo ldwide, and his end is inc easing, see Wa e son (2014). He desc ibes
he mos equen ly used examples o eHeal h echnologies: managemen sys ems, com-
pu e ised decision suppo sys ems, communica ion sys ems, and in o ma ion esou ces.
Acco ding o Ross e al. (2015), despi e he po en ial bene i s o eHeal h, implemen a-
ion o hese sys ems is o en epo ed as p oblema ic. Fo example, he implemen a ion
o elec onic heal h eco ds and elec onic p esc ibing sys ems has lagged in mos Eu o-
pean na ions as well as in he USA un il 2013 (Ben-Assuli, 2015).
As main eHeal h implemen a ion obs acles a e desc ibed inancial, legal, social and
e hical ba ie s as well as secu i y conce ns (Cu ie and Seddon, 2014 and Mai e al,
2012). Acco ding o Eu opean Commission, he mos impo an ba ie s in p ima y
heal hca e include he lack o inancial incen i es, lack o ime o aining, lack o ech-
nical suppo , lack o amewo k on con iden iali y and p i acy and lack o su icien
ICT skills o mo i a ion (Alsheh i and D ew, 2010; Eu opean Commission, 2018).
Howe e , as s a ed by Heal hca e In o ma ion and Managemen Sys ems Socie y
(HIMSS) i is also impo an o ealize, ha he de elopmen o eHeal h is no d i en
only by he go e nmen s o indi idual coun ies o in e na ional o ganiza ions, bu also
by he companies in he echnology sec o s because hey a e esponsible o he ans-
o ma ion o heal h ca e sys ems and o sha ing knowledge (HIMSS Eu ope, 2020 o
Abu-Ahanab and Ba aineh (2014).
eHeal h Tools o he Eu opean Union
ICT has become an essen ial pa o Eu opean heal hca e in ecen yea s (Eu opean
Commission, 2019). Al hough eHeal h ools and se ices ha e been well es ablished in
many EU coun ies, hey a e commonly used oday, bu e y o en, indi idual

Re iew o Economic Pe spec i es
342
heal hca e acili ies, hospi als, o physicians chose he bes , indi idual sys em o hem-
sel es wi hou any coo dina ion (Eu opean Commission, 2018; Heal h ICT Indus y
G oup, 2009). So, he implemen a ion o eHeal h in indi idual Eu opean membe s a es
is g ea ly agmen ed and dispa a e nowadays, see Lau and Kuziemsky (2016). eHeal h
concep in he indi idual EU Membe S a es is mainly in luenced by he concep o
eHeal h in he EU legisla ion and he ecommenda ions o he Wo ld Heal h O ganiza-
ion (WHO, 2016a o WHO 2016b).
The e o e, he po en ial c oss-sys em communica ion is he e ye one o he main s eps
ha can encou age and enhance he bene i s o compu e iza ion (Eu opean Commission,
2019). Fo his eason, he aim o he Eu opean Union heal h policy is o link and coo -
dina e indi idual na ional eHeal h p ojec s. This e o is also a pa o he “Eu opean
eHeal h Ac ion Plan” ha co e s he pe iod om 2012 o 2020, see (Eu opean Commis-
sion, 2012b). This is an o e iew o EU ac ions con ibu ing o he c ea ion o a Eu o-
pean eHeal h a ea (Eu opa, 2018). I was launched in Ma ch 2011 as he second s a egy
(a e 2004 - 2010 s a egy) dedica ed o he issue o heal hca e elec onisa ion in he
EU. I p o ides a long- e m ision o Eu opean eHeal h in syne gy wi h o he docu-
men s as “Eu ope 2020”, he “Digi al Agenda o Eu ope” o he “Digi al Single Ma ke
s a egy”. Coo dina ion includes as access o sha ed and emo e medical expe ise
h ough elecommunica ion and in o ma ion echnology, no ma e whe e he pa ien o
ele an in o ma ion is loca ed (S oe man e al., 2011). Also, he “Ho izon 2020 p o-
g amme” con ibu es signi ican ly o he a ea o digi al echnology o heal h and aging.
In his con ex , he “Eu opean Inno a ion Pa ne ship on Ac i e and Heal hy Ageing”
p o ides a pla o m o link he e o s o many egions and ecosys ems ac oss Eu ope,
some o which a e ecognized as e e ence si es on digi al inno a ion o heal h and ca e
(Eu opa, 2018).
In he Eu opean Union, whe e people a e absolu ely ee o mo e o he o he EU Mem-
be S a es, he e is a need o engage in mu ual communica ion ha should ensu e he
highes s anda ds o heal h ca e, whe he pa ien s a e anywhe e (Wa e son, 2014;
S oe mann e al., 2011). The main aim is o build a common Eu opean eHeal h space
ha will success ully sol e his p oblem and hus become one o he main objec i es o
he Eu opean Commission's wo k. In 2012, he eHeal h- ocused wo king g oup o Eu-
opean Commission p oduced a epo on “Redesign o Heal h in Eu ope by 2020”, see
Eu opean Commission (2012a), highligh ing he majo challenges ha p e en he eo -
ganiza ion o Eu opean heal hca e wi h he use o exis ing in o ma ion echnology (Eu-
opean Commission, 2004). The goals o he Eu opean Commission a e mainly o im-
p o e ci izens' heal h by making heal h in o ma ion a ailable using digi al heal h and
ca e ools, including ac oss bo de , o inc ease heal hca e quali y and access by making
digi al heal h and ca e a pa o heal h policy and coo dina ing EU membe s a es' poli -
ical, inancial and echnical s a egies and o make digi al heal h and ca e ools mo e
e ec i e, use - iendly and widely accep ed by in ol ing p o essionals and pa ien s in
s a egy, design and implemen a ion (Eu opean Commission, 2011; Eu opa, 2018).
Impo ance o eHeal h in P ima y Ca e
The widesp ead and e ec i e use o eHeal h in p ima y ca e is conside ed by he Eu o-
pean Commission as pi o al (Eu opean Commission, 2019). P ima y ca e is a key p o-
cess in he heal h sys em (Eu opean Commission, 2018). I is i s -con ac , accessible,
Volume 20, Issue 3, 2020
343
con inuous, comp ehensi e, and coo dina ed ca e gi en by a heal h ca e p o ide . Fi s -
con ac ca e is accessible a he ime o need (Eu opean Commission, 2013). Pa ien s
commonly ecei e p ima y ca e om p o essionals such as a p ima y ca e physician
(gene al p ac i ione o amily physician), a nu se p ac i ione (adul -ge on ology nu se
p ac i ione , amily nu se p ac i ione , o pedia ic nu se p ac i ione ), o a physician
assis an (WHO, 2018). The Wo ld Heal h O ganiza ion a ibu es he p o ision o es-
sen ial p ima y ca e as an in eg al componen o an inclusi e p ima y heal hca e s a e-
gy (WHO, 2019).
Adop ion o eHeal h ools and applica ions in p ima y ca e is mainly essen ial o
s eng hening Eu opean heal hca e sys ems, see G eß e al. (2009). Abo e all, he gen-
e al p ac i ione s play an impo an ole in acili a ing access o, and deli e y o ca e,
see A un (2004). They ep esen he i s poin o con ac and ga he impo an in o -
ma ion needed ac oss he whole o he heal h and social ca e sys ems (Eu opean Com-
mission, 2019). Good quali y o he coun y’s p ima y ca e is posi i ely associa ed wi h
heal h ou comes, o example dec easing all-cause mo ali y, p ema u e mo ali y as
well as less equen hospi aliza ion and declining use o specialis and eme gency ca e,
see Macinko, e al. (2003) and WHO (2018).
E alua ion o eHeal h in he Eu opean Union
eHeal h deploymen in Eu ope is he subjec o e alua ion o in e na ional o ganiza ions
as he EU o OECD (OECD/EU, 2016). eHeal h e alua ion is desc ibed as an ac o
assess whe he an eHeal h sys em is unc ioning and p oducing he e ec s as expec ed
(Lau and Kuziemsky, 2016). Fos e ing he de elopmen and implemen a ion o na ional
eHeal h policies and s a egies has been a key goal o he Eu opean Union eHeal h Ac-
ion Plan (Eu opean Commission, 2004). In 2011 he Eu opean Commission p epa ed
an o e iew and syn hesis epo on eHeal h in Eu ope "Eu opean coun ies on hei
jou ney owa ds na ional eHeal h in as uc u es - e idence o p og ess and ecommen-
da ions o coope a i e ac ions" analysing Ac ion Plan p io i ies, see Eu opean Com-
mission (2011). In 2016 in he coope a ion wi h OECD was de eloped he join Com-
mission and OECD epo “Heal h a a Glance: Eu ope 2016” (OECD/EU, 2016). New
edi ion o “Heal h a a Glance” p esen s he mos ecen compa able da a on he heal h
sys em pe o mance in OECD coun ies (OECD, 2019). The e was no ed ha imp o e-
men in he adop ion o digi al echnology in he p ima y ca e and hospi als is needed
ac oss Eu ope. Howe e , he e a e moni o ed only a ew compa able eHeal h indica o s.
In 2017 he Eu opean Commission also published a Eu oba ome e su ey (TNS opin-
ion & social, 2017) p esen ing Eu opean ci izens' opinions on he impac o digi alisa-
ion and au oma ion o heal h ca e. The eHeal h s udy om 2017 “T ans o ming
eHeal h in o a poli ical and economic ad an age”, see (A ak and Wójcik, 2017), e alu-
a ed hen he le el o eHeal h implemen a ion in EU membe s a es. The esul s demon-
s a e a lack o ha monisa ion o eHeal h implemen a ion wi hin he EU and unsa is ac-
o y access o c oss-bo de heal hca e.
E alua ion o eHeal h in Acu e Hospi als and among Gene al P ac i ione s
The Eu opean Commission moni o s in de ail wo a eas o eHeal h adop ion. Adop ion
o eHeal h in p ima y ca e by Gene al P ac i ione s and by Acu e Hospi als. Gene al
P ac i ione s and Hospi als wi h acu e ea men play a c ucial ole in p o iding heal h
Re iew o Economic Pe spec i es
344
ca e, see Eu opean Commission (2013). The e we e ca ied ou h ee measu emen s o
eHeal h adop ion among Gene al P ac i ione s in he Eu opean Union in 2007, see Do-
b e e al. (2008), 2013, see Eu opean Commission (2013) and 2019 see Eu opean
Commission (2019). The s udies ha e he objec i e o measu e he adop ion o eHeal h
applica ions and unc ionali ies among Gene al P ac i ione s in he EU Membe S a es,
while a he same ime explaining wha d i es o hampe s i (Eu opean Commission,
2013). The da a we e ga he ed by he usage o in e iews wi h Gene al P ac i ione s and
p ocessed by he usage o mul i a ia e s a is ical ools, see mo e in Eu opean Commis-
sion (2013 and 2019). The e a e used he ou measu emen indica o s ha eme ged
om he combined e o s o he Eu opean Commission, OECD, and WHO:
 Elec onic Heal h Reco ds (EHR) - sys ems ha a e used by heal hca e p o es-
sionals (doc o s and nu ses) o en e , s o e, iew, and manage pa ien heal h
and adminis a i e in o ma ion and da a.
 Heal h In o ma ion Exchange (HIE) - is he p ocess o elec onically ans e -
ing / sha ing / enabling access o pa ien heal h in o ma ion and da a.
 Teleheal h - is he use o b oadband-based echnological pla o ms o p o ide
heal h se ices, medical aining, and heal h educa ion o e a dis ance.
 Pe sonal Heal h Reco ds (PHR) - a e elec onic sys ems allowing pa ien s o
ha e secu e access o, and manage, hei heal h in o ma ion.
In ela ion o eHeal h in Acu e Hospi als, wo su eys ha e been ca ied ou wi h he
aim o ga he ing da a o benchma king eHeal h. The i s one was ca ied ou in 2010,
see esul s in Codagnone and Lupiañez-Villanue a (2011), and he second one in 2013,
see esul s in Sabes-Figue a and Maghi os (2013).
The o e all objec i e o he Eu ope-
an Hospi al Su ey was assessing he le el o eHeal h usage in acu e ca e hospi als in
he EU Membe S a es. To p o ile eHeal h capabili ies in he coun ies, he e we e se-
lec ed 13 indica o s, see Eu opean Commission (2014).
Ne e heless, he way how eHeal h is e alua ed and he ac ual implemen a ion o he
benchma king exe cises ha e no been as sys ema ic as in o he a eas o he In o ma ion
socie y (Codagnone and Lupiañez-Villanue a, 2011). This was caused by he mul i-
dimensional complexi ies o he ield and by he highe cos and di icul y o ge ing he
equi ed da a in compa ison wi h o he ields whe e web-based measu emen is easible
and alid (e.g., eGo e nmen ), see (Sabes-Figue a and Maghi os, 2013).
Ma e ial and Me hods
The p esen ed esea ch is based on da a se ac oss mul iple da a sou ces, see Eu opean
Commission (2014), Codagnone and Lupiañez-Villanue a (2011) and Eu opean Com-
mission (2013). The inpu da a o med Composi e Indica o s pe a ea o Acu e Hospi-
als and pe a ea o Gene al P ac i ione s, summa ized in Tab. 1 and 2. Composi e Indi-
ca o s CI1 – CI4 desc ibe he le el o eHeal h use in Acu e Hospi als in he EU Membe
S a es. They co e he a ea o : In as uc u e, Medical Applica ions, In eg a ion, and
Secu i y. Composi e Indica o s CI5 – CI8 desc ibe he le el o eHeal h use among Gen-
e al P ac i ione s in EU Membe S a es. They co e he a ea o : Elec onic Heal h Rec-
o d, Heal h In o ma ion Exchange, Teleheal h, and Pe sonal Heal h Reco d.
Volume 20, Issue 3, 2020
345
Resul s p esen ed in he s udies o Eu opean Commission conce n only doc o s wo king
in p ima y ca e and hospi als wi h acu e ca e. The esul s a e p esen ed in sepa a e s ud-
ies, and he esul s o bo h a eas a e no syn hesized o ela ed. So, i is no possible o
d aw om hem conclusi e gene alisa ions on he s a us o eHeal h adop ion a p ima y
ca e in gene al. Fo his eason, he p esen ed esea ch is ocused on he syn hesis o he
esul s o he 2012 su ey o eHeal h Deploymen in Acu e Hospi als and he 2013
su ey o he Gene al P ac i ione s. Th
e e alua ion is pe o med by usage o a e ag-
ing and by he usage o MCDM me hods.
In he case o a e aging, he p ocedu e was
based on he cons uc ion o he Agg ega ed eHeal h Deploymen Index and was he
same as o he cons uc ion o he O e all Composi e Index o Eu opean Commission,
see Codagnone and Lupiañez-Villanue a (2011) and Sabes-Figue a and Maghi os
(2013). The Composi e Indica o s I1- I8 we e assessed wi h equal weigh s (0.125) and
a e aged. I was necessa y o con e he alues o he same scale because he e we e
used di e en scales in he o iginal s udies. Then he calcula ion was pe o med using
MCDM me hods (WSA, TOPSIS, and MAPPAC). MCDM me hods we e used because
he e is no need o con e da a. They a e objec i e and e lec he a iabili y; o
example, he ange o alues among coun ies, and hey a e designed o c ea ing ank-
ings.
Da a and Composi e Indica o s
The o iginal da a we e ob ained using benchma king me hods by he Eu opean Com-
mission su eys aimed a Gene al P ac i ione s and Acu e Hospi als. Benchma king
plays a c ucial and undamen al ole in enabling he Membe S a es o moni o ac ual
pe o mance, enhance policy lea ning, and he on-going policy p ocesses (Sabes-
Figue a and Maghi os, 2013). The e we e iden i ied he indi idual indica o s, which
we e desc ibing he selec ed a eas o he su ey. Then, ac o analysis was pe o med on
he indi idual a iables, o mo e de ails see Codagnone and Lupiañez-Villanue a
(2011). Weigh s o indi idual indica o s we e ob ained om ac o analysis. Then
Composi e Indica o s we e o med, on he bases, ha indi idual indica o s we e com-
piled in o a single index on he basis o an unde lying concep ual model wi h he sup-
po o he empi ical explo a ion o he da ase , see Sabes-Figue a and Maghi os (2013).
To de elop he O e all Composi e Index, Eu opean Commission ollowed he s eps
desc ibed in he OECD-JRC Handbook on cons uc ing composi e indica o s me hodol-
ogy and use guide, see OECD-JRC (2008).
In he a ea o Acu e Hospi als, he indica o s we e g ouped in o ou Composi e Indica-
o s o eHeal h, see Table 1.
The O e all Composi e Index o he a ea o Acu e Hospi als was ob ained by assessing
equal weigh s (0.25) o ou Composi e Indica o s. The p ocedu e was simila in he
case o Gene al P ac i ione s s udy. The indica o s we e also g ouped in o ou ca ego-
ies (Composi e Indica o s), see Table 2. Then he O e all Composi e Index o he a ea
o Gene al P ac i ione s was de e mined.
Re iew o Economic Pe spec i es
352
Based on he esul s o selec ed MCDM me hods, i was possible o de e mine he o de
o he EU Membe S a es in e ms o he eHeal h deploymen , om he bes o he wo s .
The esul s o all me hods we e compa ed and syn hesized in Tab. 5. The o e all a -
angemen o a ian s was eached by a e aging o he se ial numbe s o a ian s. As
he bes e alua ed is he op ion ha has he lowes o e all se ial numbe . The o e all
anking is displayed in he able as an O e all Sco e. Some coun ies ha e he same
O e all Sco e.
Table 5 E alua ion o eHeal h in EU membe s a es by MAPPAC me hod
Va ian
TOPSIS
WSA
MAP-
PAC
OVERALL
SCORE
Va ian
TOPSIS
WSA
MAP-
PAC
OVERALL
SCORE
Denma k
1
1
1
1
F ance
16
14
12
14
Es onia
2
3
3
2
Cyp us
11
17
15
15
Finland
5
2
2
3
Hunga y
19
16
13
16
Sweden
3
4
5
4
Ge many
17
19
14
17
Ne he -
lands
6
5
4
5
Po ugal
18
18
14
17
Uni ed
Kingdom
7
6
5
6
Romania
20
20
16
18
Mal a
4
8
7
7
C oa ia
21
21
16
19
Spain
10
7
6
8
Bulga ia
22
22
17
20
Aus ia
9
9
8
9
Slo akia
24
23
19
21
Belgium
8
11
9
10
G eece
26
24
18
22
I aly
13
10
8
11
Slo enia
25
25
18
22
Luxem-
bou g
12
12
11
12
La ia
23
27
21
23
I eland
14
13
10
13
Poland
27
26
20
24
Czech
Republic
15
15
12
14
Li huania
28
28
22
25
Sou ce: Own esea ch
Assessmen o he s a e o eHeal h in he EU membe s a es based on MCDM me hod
e ined he esul s ob ained by assessmen wi h he usage o Agg ega ed Indica o , by
he design o he anking o EU coun ies. All used me hods showed simila esul s. On
he bes i e places by O e all Sco e anked Denma k, Es onia, Finland, Sweden, and
he Ne he lands. The wo s s a e o eHeal h was ound ou in G eece, Slo enia, La ia,
Poland, and Li huania. F om he alues o he o al ela i e dis ance indica o ci in he
TOPSIS me hod, i is ob ious ha he di e ences be ween he EU coun ies a e signi i-
can . While he alue o he bes esul (Denma k) eaches alues o 0.77877, he wo s
esul alue (Li huania) is 0.14555.
I is clea om he esul s ha he eHeal h deploymen a p ima y ca e a ies among EU
coun ies. The implemen a ion o EHR is o en conside ed as a necessa y condi ion o
he u he de elopmen o eHeal h in p ima y and seconda y ca e (Eu opean Commis-

Volume 20, Issue 3, 2020
353
sion, 2014). In 2013 EHR was he mos widesp ead unc ionali y o eHeal h among
Gene al P ac i ione s – Composi e Indica o CI5 ( alue 0.678 o Agg ega ed Indica o ).
The adop ion le el o o he unc ionali ies (CI6, CI7, and CI8) was much lowe (HIE –
0.442, Teleheal h – 0.343, and PHR – 0.319). The implemen a ion o EHR, Teleheal h,
and PHR in Acu e Hospi als was a e aged (CI2 - Applica ions), wi h a alue o 0.558 o
Agg ega ed Indica o . Elec onic exchange o medical in o ma ion in he case o hospi-
als (CI3 - In eg a ion), was he lowes alue (0.252), which p o es ha he sha ing o
medical in o ma ion elec onically in hospi als was e y limi ed. On he con a y, in he
a ea o In as uc u e (CI1), which includes he in e -connec i i y, ans e o da a, and
mobile access, he alue is abo e-a e age (0.637). The below-a e age alue also
eached he a ea o Secu i y (CI4), including he p i acy o da a (0.355).
The implemen a ion di e ences be ween coun ies a e also conside ably. No dic coun-
ies (Denma k, Finland, and Sweden) end Es onia a e he o e all leade s acco ding o
he assessmen o eHeal h indica o s ac oss he EU Membe S a es. Con e sely, he
lesse pe o ming a e Eas e n and Sou he n Coun ies.
Discussion
Based on he e alua ion o eHeal h in he EU Membe S a es in he yea 2013, i was
ound ha Denma k, Finland, Es onia, Sweden, and he Ne he lands a e on he op
among EU membe s a es when e alua ing he p ac ical usage o eHeal h. These coun-
ies a e he coun ies wi h well-de eloped in e ne usage and ad anced implemen a ion
o eGo e nemn (WHO, 2016a; OECD, 2019). Es onia is conside ed o be he leade
among he Eas e n Eu opean coun ies in eGo e nmen (Eu opean Commission, 2019).
The ci izens he e a e gene ally keen on he usage o in e ne , eGo e nmen and eHeal h
applica ions. In Denma k, o example, using he heal h and ca e se ices p o ided on-
line a leas once in he yea 42 % o ci izens (in Finland 49 % and in Es onia 49 %), see
TNS opinion & social (2017). As s a ed by Ragha an e al (2015), he in e ne usage
and li e acy le els o a egion a e also o en associa ed, o example, wi h highe le els
o EHR adop ion.
Acco ding o he s udy “T ans o ming eHeal h in o a poli ical and economic ad an age”,
see (A ak and Wójcik, 2017), he implemen a ion o elec onic heal h eco ds, eP e-
sc ip ions, and na ional eHeal h p og ammes a ies signi ican ly ac oss EU membe
s a es. The bes e alua ed a e Denma k, Finland, Spain, and Sweden ha ha e he mos
de eloped eHeal h solu ions. The esul is simila o he esea ch p esen ed in his a icle.
A highly unsa is ac o y s a e o eHeal h was ound in he case o La ia, Poland, and
Li huania. Acco ding o A ak and Wójcik (2017), eHeal h is he leas de eloped in
Bulga ia, Poland, and Cyp us. Fo example, in Poland, al hough he e has been imple-
men ed a ious inno a i e p ojec s o compu e izing o he heal h sys em, he e is a lack
o p incipal ules necessa y in he ield o compu e izing and incomple e coo dina ion o
IT ac ions be ween he heal h ca e uni s and go e nmen al ones. Also, he on-line se -
ices lack he basic elemen s signi ican when i comes o con ac wi h he pa ien s; see
Walczak and Pólkowski (2013). Howe e , he e a e also coun ies anked nea he a e -
age among he EU Membe S a es. In hese coun ies, he e a e mainly se ious sho -
comings, pa icula ly on he side o public digi al se ices p o ide s. Changing he
a i ude o go e nmen o icials in he a ea o eHeal h p omo ion is he e o e equi ed
(Czech Republic, Hunga y).
Re iew o Economic Pe spec i es
354
While EHR was he mos ad anced eHeal h unc ionali y ac oss EU Membe S a es
(CI5), he g ea es sho comings we e moni o ed in he a ea o elec onic sha ing medi-
cal in o ma ion (CI3). Sabes-Figue a and Maghi os (2013) s a e also ha only abou hal
o he moni o ed hospi als sha e medical in o ma ion elec onically wi h o he ca e
p o ide s (gene al p ac i ione s, ex e nal specialis s). Eu opean Commission (2014)
s a e, ha abo e all, he sha ing o medical in o ma ion wi h heal h ca e p o ide s loca -
ed in o he EU coun ies emains a challenge because less han 8 % o he hospi als
epo ed he sha ing o some medical in o ma ion wi h o he EU coun ies.
In 2018 he Eu opean Commission pe o med benchma king in he a ea o Gene al
P ac i ione s, see Eu opean Commission (2018). As a esul , he Composi e Index o EU
coun ies was compa ed. I was ound ou ha he s a e o eHeal h in he a ea o Gene al
P ac i ione s has imp o ed since 2013. The EU coun ies a e age sco e inc eased om
1.876 in 2013 o 2.131 in 2018 (max alue is 4). The coun ies wi h he highes le el o
eHeal h adop ion we e Denma k, Es onia, Finland, Sweden, and he Uni ed Kingdom
(sco es be ween 2.517 and 2.862), while Li huania, Mal a, Slo akia, Luxembou g, and
G eece had he lowes le el o adop ion (sco es be ween 1.647 and 1.785). The e we e
ound inc eases in he adop ion o EHR since 2013 ac oss all EU coun ies (Eu opean
Commission, 2018). The implemen a ion in he o he eHeal h ields – HIE, Teleheal h,
and PHR has also inc eased since 2013, howe e emains much lowe han he adop ion
o EHR.
Fo he u u e implemen a ion o eHeal h in he EU, i is expec ed he highe e o o
he Eu opean Commission in he ield o eHeal h ha monisa ion and s anda disa ion
(Eu opean Commission, 2011). I is expec ed he c ea ion o common Eu opean egis-
e s o ch onic diseases and ac ions o imp o e esea ch da a exchange be ween EU
membe s a es (Mai e al. 2012). The Commission is wo king wi h he membe s a es o
s a exchanging e-p esc ip ions ac oss bo de s in 2018 (Eu opean Commission, 2019).
C oss-bo de elemedicine is a co ne s one o he “Eu opean Re e ence Ne wo ks”
which will connec close o 1.000 clinics in Eu ope o diagnose and ea complex and
a e diseases. Bo h schemes a e suppo ed by he “Connec ing Eu ope Facili y” and he
sys em o he exchange o p esc ip ions is based on a success ul CIP p ojec “epSOS”
(Eu opa, 2018).
Limi a ions o he Resea ch
In connec ion wi h his esea ch, he e a e se e al limi s. The eHeal h Deploymen e al-
ua ion is ca ied ou o 2013, as i is based on he a ailable benchma king ac i i ies in
he ield o eHeal h o he Eu opean Commission. The esea ch esul s, he e o e, co e-
spond o his ime. Cu en ly, esul s may a y. In 2018, a ollow-up s udy was ca ied
ou in he ield o Gene al P ac i ione s, whe e i is possible o compa e pa ial esul s.
Howe e , a ollow-up s udy in he ield o hospi als has no been ca ied ou ye , and
ele an da a a e a ailable only o 2013. The conduc ing o up- o-da e eHeal h De-
ploymen esea ch, as p oposed in he p esen ed a icle, is limi ed now o his eason.
In he p esen ed esea ch, an Agg ega ed Index is cons uc ed, which is he subjec o
o he limi s. The e a e numbe o ad an ages and disad an ages associa ed wi h c ea ing
composi e indexes. In he case o complex policy issues, as eHeal h deploymen , he e
exis a la ge numbe o indica o s. The summa iza ion o hem in he o m o a compo-
Volume 20, Issue 3, 2020
355
si e index is a con enien ool o ecei e a mo e uni ied and compac policy message.
The disad an age is ha hei use can dis o eali y in ce ain espec s.
Conclusion
The adop ion o eHeal h in p ima y ca e is a c ucial ask on bo h na ional and in e na-
ional le els. The in e es o he EU and EU Membe S a es policy is o measu e p o-
g ess and assess he ex en o he implemen a ion so ha sho comings can be explained
and educed. In he p esen ed a icle, a p ocedu e o e alua ing eHeal h deploymen a
p ima y ca e using an Agg ega e Indica o was p oposed. The esul s we e e i ied and
imp o ed by he usage o MCDM me hods. The anking o EU coun ies was speci ied
on he basis o he applica ion o TOPSIS, WSA, and MAPPAC me hods.
The bene i is ha in he p esen ed s udy, bo h a eas o eHeal h a e e alua ed wi hin one
e alua ion model, and he anking o EU coun ies assessing he posi ion o eHeal h
deploymen is speci ied by he applica ion o MCDM me hods, so i is no jus an a i h-
me ic a e age o a ian s.
I was acknowledged ha he bes anking in his a ea ob ained Denma k, Finland,
Es onia, and Sweden. The wo s s a e o eHeal h was epo ed in Slo enia, Poland, and
Li huania. The esea ch showed ha access o and use o ICT become almos uni e sal
in p ima y ca e in all EU coun ies. Howe e , in he case o mo e ad anced unc ionali-
ies as EHR, HIE, Teleheal h, and PHR, mo e p og ess ac oss EU coun ies is needed.
Also, he a ea o sha ing elec onic medical in o ma ion and p i acy and secu i y o da a
should be imp o ed. The esul s o eHeal h deploymen e alua ion in EU coun ies
poin ed ou ha he eaching o he a ge and objec i es de ined o eHeal h bo h in he
Digi al Agenda o Eu ope and in he 2012 eHeal h Ac ion Plan hey emain a challenge
o u u e and ha mo e policy e o s a e needed o enable mo e imp o emen s.
Funding: This pape was c ea ed wi hin he p ojec SGS No. SP2020/32: Economic
e alua ion o o ganiza ions p o iding public se ices ela ed o he alloca ion unc ion
o public budge s.
Disclosu e s a emen : No po en ial con lic o in e es was epo ed by he au ho .
Re e ences
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ADEBESIN, F. e al. (2013). Ba ie s and Challenges o he Adop ion o EHeal h
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