A Fuzzy Framework to Evaluate Service Quality in the Healthcare Industry
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A fuzzy framework to evaluate service quality inthe healthcare industry: An empirical case of
public hospital service evaluation in Sicily
ARTICLE in APPLIED SOFT COMPUTING DECEMBER 2015
Impact Factor: 2.81 DOI: 10.1016/j.asoc.2015.12.010
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Toni Lupo
Universit degli Studi di Palermo
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Please cite this article in press as: T. Lupo, A fuzzy framework to evaluate service quality in
the healthcare industry: An empirical case of public hospital service evaluation in Sicily,
Appl. Soft Comput. J. (2015), http://dx.doi.org/10.1016/j.asoc.2015.12.010. (IN PRESS)
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A fuzzy framework to evaluate service quality in the healthcare industry: an empirical case of
public hospital service evaluation in Sicily
Toni Lupo*
Dipartimento di Ingegneria Chimica, Gestionale, Informatica, Meccanica (DICGIM),
Universit degli Studi di Palermo,
iale delle Scien!e, "#$%&, Palermo, Ital'
Corresponding author *el+ -" "$ %-&.$&/"
0mail+ tonilupo1unipait
Abstract
2 novel fu!!' evaluation frame3or4 is applied in this stud' to evaluate service 5ualit' in the pu6lic
healthcare sector In particular, the proposed frame3or4 is 6ased on the Serv7ual disconfirmation
paradigm and incorporates the 2nal'tic 8ierarch' Process (28P) method to elicit relia6le
estimations of service 5ualit' e9pectations Moreover, degrees of uncertaint', su6:ectivit' and
vagueness on the part of sta4eholders are addressed via linguistic evaluation scales parameteri!ed
6' triangular fu!!' num6ers ;ith reference to nine relevant pu6lic hospitals in the Sicilian
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Please cite this article in press as: T. Lupo, A fuzzy framework to evaluate service quality in
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the stringent constraints 8o3ever, the gap 6et3een these t3o often conflicting aspects ma' 6e
6ridged 6' an element, ie 5ualit', a6le to compensate for the distorting potential inherent in an
un3ar' or ill@advised overemphasis merel' on costs and 6udgets A$, %, -, B
8ealthcare 5ualit' has 6een defined as the a6ilit' to achieve desira6le o6:ectives using legitimate
meansE 3here6' the desira6le o6:ective implied is an achieva6le state of healthE A= Similarl',
healthcare 5ualit' ma' 6e conceived as an approach to achieve improved health outcomes for
consumers A. Fevertheless, necessar' prere5uisites of 5ualit' healthcare also include appropriate
technolog', timel' treatment, ade5uac' of the offer of services 3ith regard to the demand, as 3ell
as guaranteeing accepta6le standards of medical practice A/ 2ll the more, from a corporate
vie3point, healthcare 5ualit' constitutes a relia6le means for e9tending the client 6ase, so as to gain
a competitive edge, thus assuring economic via6ilit' and long@term profita6ilit' A&, ", $#
*o all intents and purposes, pu6lic healthcare 5ualit' can 6e vie3ed as a multi@dimensional entit'
affected 6' various interacting aspects and actors+ institutions 3hich organi!e and finance
healthcare, healthcare providers and professionals in the front line of service tending to patients?
needs in terms of diagnosis, treatment and, in recent 'ears, reha6ilitation as 3ell ast 6ut not least,
there are the citi!ens e9periencing the clinical outcomes, 6ut 3hose 6ottom line also comprises a
4een e'e for certain aspects of the services provided, such as human relationships, hospitalit' and
the regard for their dignit' and privac' Hig $ sho3s the three main dimensions of healthcare service
5ualit' A$$
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the healthcare industry: An empirical case of public hospital service evaluation in Sicily,
Appl. Soft Comput. J. (2015), http://dx.doi.org/10.1016/j.asoc.2015.12.010. (IN PRESS)
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Hig $+ Multi@dimensionalit' of healthcare 5ualit'
In detail+
management quality, concerns efficient and effective resource utili!ation and management
to deliver services a6le to satisf' sta4eholders? needs *he evaluation of this 5ualit'
dimension ta4es into consideration the managerial measures and methods adopted
professional quality, includes perspectives of healthcare e9perts and professionals regarding
medical aspects of healthcare *his 5ualit' dimension is directl' characteri!ed 6' in@house
medical s4ills and hospital facilities
Stakeholder perceived quality, consists of citi!enspatients perceptions 3ith reference to
healthcare aspects involving accessi6ilit', responsiveness, human relationships, hospitalit'
and other service features
*his latter 5ualit' dimension is considered the most significant one since it e9erts a direct influence
on the perceived value of the hospital and its image and, as such, it is regarded as a 4e' measure of
the service effectiveness, as 3ell as of the patient satisfaction A$%, $-, $B 2dditionall', this 5ualit'
dimension also indirectl' impacts on patients? 6ehavior in the sense that, satisfied patients do not
tend to see4 healthcare services else3here and, moreover, the' more li4el' recommend the same
Management 5ualit'
#rocedures
and methods
Professional 5ualit'Sta4eholder
perceived 5ualit'
$edical equipment
and skills
Service relational
and facility aspects #erceived quality
Social
quality
#rovided
quality%&ALT%'A(&
S&()"'&
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Please cite this article in press as: T. Lupo, A fuzzy framework to evaluate service quality in
the healthcare industry: An empirical case of public hospital service evaluation in Sicily,
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hospital to other potential patients A$=, $. Hor such reasons, the s'stematic implementation of
procedures and approaches to evaluate sta4eholder satisfaction represents a fundamental aspect
in toda'?s healthcare conte9t A$/
In the literature, a num6er of methods have 6een proposed to assess sta4eholder satisfaction in the
healthcare field Jasicall', the' can 6e classified into three fundamental groups+ Stated Importance
Methods (SIMs), Derived Importance Methods (DIMs) and the Multi@Criteria Decision@Ma4ing
(MCDM)@6ased approaches 2s regards SIMs A$&, $", %#, sta4eholders are as4ed to fill out a detailed
5uestionnaire related to 6oth e9pectations and perceptions on fundamental service 5ualit' aspects
Kn the contrar', DIMs A%$, %% re5uire a significantl' simplified 5uestionnaire given that
sta4eholders are as4ed to assess onl' perceptions on service 5ualit' aspects and to provide their
overall satisfaction degree as s'nthesis of the perceived service 5ualit' 7ualit' e9pectations are
statisticall' derived in a second phase, after the surve', on the 6asis of relations among the collected
perceptions and the overall satisfaction degree Hinall', MCDM approaches are 6ased on the general
principle that the attitude of customers to3ards a given service is 6ased on their assessment of
service aspects on the 6asis of the importance assigned to them A%- ;ith this recognition, MCDM
methodologies such as the 2nal'tic 8ierarch' Process (28P) method A%B, the Ise4riteri:ums4a
optimi!aci:a I LKmpromisno
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Please cite this article in press as: T. Lupo, A fuzzy framework to evaluate service quality in
the healthcare industry: An empirical case of public hospital service evaluation in Sicily,
Appl. Soft Comput. J. (2015), http://dx.doi.org/10.1016/j.asoc.2015.12.010. (IN PRESS)
5
healthcare service 5ualit' Specificall', such a frame3or4 is 6ased on the Serv7ual disconfirmation
paradigm A-- and incorporates the 28P method to point out relia6le estimates of 5ualit'
e9pectations A-B, -=
Serv7ual is the most commonl' used conceptual model for stud'ing and anal'!ing the 5ualit' of
services A-. *he large emplo'ment of its paradigm is 3idel' 3itnessed 6' the large amount of
scientific literature produced over the 'ears in different service fields, such as car rental industr'
A-/, financial services A-&, transportation A-", higher education AB#, 5ualit' certification AB$,
hotel services AB%, B-, online 6usiness ABB, B=, B. Kn the contrar', 28P is one of the most
esta6lished MCDM methods for facing a 3ide variet' of decision situations, in fields such as
government, 6usiness, industr', healthcare, ship6uilding and education AB/ *his fact is pro6a6l'
due to some aspects characteri!ing such method, such as+ possi6ilit' to integrate 6oth 5uantitative
and 5ualitative and also conflicting criteria, opportunit' to conduct sensitivit' anal'sis on o6tained
results and, moreover, it is 3ell supported 6' user@friendl' computer soft3are Hurthermore, the
advantageous mathematical structure characteri!ing 28P and its easiness in ac5uiring the re5uired
data allo3 to overcome man' critical issues, namel' the 3ell@documented respondents tendenc' to
select the central categor' of the evaluation scale to e9press their :udgments AB&, the influence in
the evaluation process of the categories num6er of the evaluation scale, the form and the t'pe of
related linguistic varia6les AB", =#
Hinall', a fu!!' evaluation environment is considered to deal 3ith the inherent uncertaint',
su6:ectivit' and vagueness characteri!ing sta4eholders in e9pressing their o3n :udgments on service
5ualit' A=$, =%, =- *he fu!!' set theor' has 6een successfull' applied in man' fields of the
management science as decision@ma4ing A=B, service performance evaluation A==, =., information
retrieval A=/, =&, and so on In the field of healthcare service 5ualit' evaluation, several recent
applications are descri6ed in A=", .#, .$ Hig % summari!es the architecture of the evaluation
frame3or4 developed
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Please cite this article in press as: T. Lupo, A fuzzy framework to evaluate service quality in
the healthcare industry: An empirical case of public hospital service evaluation in Sicily,
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6
Hig %+ 2rchitecture of the frame3or4 adopted, including fu!!' service 5ualit' evaluation and anal'sis modules
*he frame3or4 herein proposed see4s to support healthcare@decision ma4ers and managers in their
choice of effective and efficient strategies aimed at service 5ualit' improvements Hor e9ample, it
can facilitate the rational prioriti!ation of interventions, such as allotting additional resources for
those service aspects that prove to 6e inade5uate, in order to achieve improved levels of
performance
*he remainder of the present paper is organi!ed as follo3s Section % contains a detailed description
of the frame3or4 Section - illustrates the strategic service 5ualit' anal'sis focusing on the pu6lic
healthcare service of Sicil' (Ital') Hinall', conclusions Section comprises a summar', suggestions for
service 5ualit' improvements and directions for future research
! The novel fuzzy evaluation framework
2s mentioned 6efore, the devised evaluation frame3or4 includes fu!!' service 5ualit' evaluation
and anal'sis modules In Sections 6elo3, such modules are in detail descri6ed
2.1 Fuzzy service-quality evaluation module
Service 5ualit' perceptions and e9pectations are assessed under a fu!!' evaluation environment,
ta4ing into account the service aspects of the service 5ualit' structure (Hig -)
Fuzzy service quality evaluation
module
Service quality
analysis module
Hu!!' service 5ualit'
e9pectations
Hu!!' service 5ualit'
perceptions
Hu!!'
28P
Serv7ual
paradigm
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Hig -+ Service 5ualit' structure
In order to compute linguistic varia6les used to represent sta4eholders? perceptions and
e9pectations, several methods are availa6le in the literature *he method hereafter descri6ed is
commonl' adopted in the service 5ualit' evaluation field for its ease of use and effectiveness A.%,
.-, .B and, thus, is emplo'ed in this stud' In particular, 5ualit' perceptions are assessed using a
five@point linguistic scale parameteri!ed 6' *riangular Hu!!' Fum6ers (*HFs) A.=, .. In detail, the
mem6ership function of a *HF B~
is ( )xB~ + R A#, $ and it can 6e represented 6' the set of 05s
($), 3here lN mN u *he parameter mcorresponds to the ma9imum value of ( )xB~ , 3hereas l
and uare the lo3er and upper limits of the definition interval, respectivel' A./
=
otherwise
uxmformu
xu
mxlforlm
lx
x BBBB
B
BB
BB
B
B
0
)(~ ($)
Hig B sho3s the five@point fu!!'@linguistic scale utili!ed herein to assess perceptions
Kverall Customer
Satisfaction
Service Criteria
Service Items
Criterion $
(!$)
Criterionn
(!n)
Criterion%
(!%)
S"$,$
S"$,%O
O
S"$,m
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the healthcare industry: An empirical case of public hospital service evaluation in Sicily,
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Hig B+ Hive@point fu!!' perceptions scale
7ualit' perceptions of sta4eholders are evaluated 6' the procedure reported 6elo3
Considering the generic kthservice criterion (k $, %, O, n), let ( )kikiki PPPki
umlP,,,
,,~
, = denote the *HF
3hich measures the aggregate perception characteri!ing its ithservice item (i $, %,O, !k) o6tained
via the arithmetic mean, as reported 6elo3+
( ) ( ) ( ), , , , , , , , ,
1 1 1
1 1 1; ;
i k i k j i k i k j i k i k j
J J J
P P P P P P
j j j
l l m m u uJ J J= = =
= = = (%)
3here ( ), , , , , ,
, ,i k j i k j i k jP P P
l m u denotes the *HF measuring the perception of the#thevaluator (# $, %,
O,$)
Hinall', the relative crisp perception can 6e o6tained 3ith reference to the confidence level %(%@
cut) A.., 3hich includes evaluators? uncertaint' over their :udgments, and the optimism degree&
on fu!!' results A.&, 6' the follo3ing relationship+
( )
[ ]
k
ki
Ci
nk
luPkiPkiP
...,,2,1
...,,2,1
1,0
1,,
,
=
=
+=
(-)
in 3hich,
#
#%
#B
#.
#&
$
$ % - B =
er' Poor
Poor
Good
er' Good
Medium
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Please cite this article in press as: T. Lupo, A fuzzy framework to evaluate service quality in
the healthcare industry: An empirical case of public hospital service evaluation in Sicily,
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)
( )[ ]1,0
,,,,
,,,,
+=
=
kiPkiPkiPkiP
kiPkikikiP
llml
muuu PP
(B)
2 larger %value is considered 3hen evaluators are confident in choosing a crisp value to represent
their :udgments, 3hereas &+ R A#, $ reflects evaluators? attitudes to3ards ris4 on fu!!'
assessment results A." 0valuators are inclined to prefer higher or lo3er crisp values, derived from
fu!!' assessments, according to 3hether the' are optimistic or pessimistic, respectivel'
Conversel', 28P is considered to assess e9pectations of sta4eholders on the healthcare service
5ualit' *he emplo'ed procedure is composed 6' the follo3ing fundamental steps+ i) pair3ise
comparisons of service aspects, ii) structuring of the fu!!' comparison matri9, iii) computing of fu!!'
e9pectations and, finall', iv) calculating crisp e9pectations Such steps are descri6ed 6elo3
i) *erms used to e9press the relative importance of each pair of service aspects, at the
same level of the service 5ualit' structure (Hig -), are 5uantified 6' *HFs Hig = sho3s
the fu!!'@linguistic importance scale adopted comprising *HFs (Hig =a) and their
reciprocal values (Hig =6)
#
#%
#B
#.
#&
$
$ % - B = . / & "
05uall' important Moderatel' more important
Strongl' more important er' strongl' more important
09tremel' more important
a+
b+
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the healthcare industry: An empirical case of public hospital service evaluation in Sicily,
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Hig =+ Hu!!' importance scale (a) and relative reciprocal values (6)
ii) Considering the service criteria $, %, O, n, of the service 5ualit' structure, the fu!!'
comparison matri9 A~
is defined as+
=
1......~
............
~...1~~...~1
~
1,
,21,2
,12,1
n
n
n
a
aa
aa
A (=)
3here the generic termwkwkwk aaawk
umla,,,
,,~, = denotes the *HF measuring the relative importance
of the kth vs the 'thservice criterion Particularl',wkwkwk aaa
uml,,,
,, are the minimum value, most
plausi6le value and ma9imum value, respectivel', o6tained 6' aggregating evaluators? assessments
via the geometric mean A/#+
, , , , , , , , ,
1 1 1
1 1 1
, ,k w k w j k w k w j k w k w j
J J JJ J J
a a a a a a
j j j
l l m m u u= = =
= = =
(.)
3here ( ), , , , , ,
, ,k w j k w j k w ja a a
l m u indicates the *HF measuring the assessment e9pressed 6' the #th
evaluator (# $, %, O,$)
#
#%
#B
#.
#&
$
#$ #% #- #B #= #. #/ #& #" $
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iii) Hrom the fu!!' comparison matri9 A~
, fu!!' e9pectations are computed via the
logarithm least@s5uares method A/$, 3hich is selected herein for its effectiveness In
particular, the e9pectation level e9pressed in fu!!' form for the kthservice criterion kE~
,
can 6e o6tained as follo3s+
( ) nkumlEkkk EEEk
,..,2,1,,~
== (/)
in 3hich+
{ }umls
s
s
sn
k
nn
wi
a
nn
i
a
E
wk
wk
K,,
1
1
1
1
,
,
=
= =
= (&)
iv) *he related crisp e9pectation can 6e o6tained 3ith referring to the confidence level %
and the optimism degree&6' the follo3ing relationship+
( )
[ ]1,0
..,,2,1
1
=
+=
nk
luEkk EEk
(")
in 3hich,
( )
( )[ ]1,0
+=
=
kEkEkEkE
kEkkk
llml
muuu EEE
($#)
2lso in this case, the %inde9 reflects the degree of uncertaint' in choosing a crisp value, on the part
of the evaluators, to represent their :udgments and the&inde9 is considered to reflect evaluators?
attitudes to3ards ris4 on fu!!' assessment results
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Hinall', 6' follo3ing such a procedure, e9pectations of service items are o6tained 6' multipl'ing
their importance 3eights, 3hich can 6e o6tained via the a6ove descri6ed procedure, 6' the
e9pectation level of the related service criterion
2.2 Service quality analysis module
2s 6efore said, the healthcare service 5ualit' is herein anal'!ed 6' means of the Serv7ual paradigm
*he latter is 6ased on the e9pectations disconfirmation approach, also defined as disconfirmation
paradigm, to identif' dissatisf'ing service aspects and reasons of such dissatisfactions In particular,
3ith reference to the generic ithservice aspect, seven fundamental service discrepancies (ie gaps)
are defined+
(api$) represents the discrepanc' 6et3een 3hat customers actuall' 3ant and
3hat managers perceive customers to 3ant>
(api%) denotes the discrepanc' occurring 3hen managers fail to design service
standards that meet customers? e9pectations>
(api-) occurs 3hen the service deliver' s'stem, that is emplo'ees, technolog' and
processes, fails to deliver according to specified standards>
(apiB) occurs 3hen the communication to customers is misleading, promising
service 5ualit' levels unfulfilled 6' emplo'ees, technolog' and processes>
(api=) represents the discrepanc' 6et3een customers? perception (*i) and their
e9pectation (+i)>
(api.) indicates the difference 6et3een 3hat customers actuall' 3ant and 3hat
emplo'ees assume customers to 3ant>
(api/) e9presses the divergence 6et3een 3hat emplo'ees assume customers to
3ant and 3hat managers thin4 the' 3ant
2ccording to the Serv7ual paradigm, the (api= value represents a direct measure of customers?
satisfaction (!Si), that is+
iii EPCS = ($$)
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In response to the a6ove conte9t, three t'pes of evaluations are currentl' performed in the Sicilian
healthcare s'stem+
@ evaluations of technical and scientific 5ualit', performed 6' professionals and academics as
dictated 6' evidence@6ased medicine>E
@ evaluations of organi!ational 5ualit', mainl' performed 6' consultants, concerning
voluntar' accreditation and certification procedures>
@ evaluations of perceived healthcare 5ualit', according to a variet' of techni5ues (customers?
satisfaction, focus groups, civic audits, etc)
;ith reference to the latter, no3ada's in Sicil' sta4eholder perspectives on healthcare 5ualit' are
considered a necessar' and indispensa6le dimension to evaluate healthcare effectiveness
Currentl', surve's on perceived healthcare 5ualit' comprise the most numerous and significant
means of evaluation
Given the premises a6ove, an empirical evaluation stud' of service 5ualit' in the pu6lic healthcare
sector in Sicil' has 6een underta4en In particular, the investigation has 6een focused on " relevant
pu6lic hospitals, covering the entire Sicilian territor' and over -#Q of the healthcare demand,
namel' St Giovanni di Dio (2grigento), St 0lia (Caltanissetta), Canni!!aro (Catania), 0nna 8ospital
(0nna), St Martino (Messina), Di Cristina e Jenfratelli (Palermo),
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Hig .+ Kverall healthcare service 5ualit' structure
Su6se5uentl', in order to simplif' the 5uestionnaire to 6e adopted in the surve', this
comprehensive list of service 5ualit' aspects has 6een narro3ed do3n to a set of fundamental
healthcare aspects of services delivered in Sicil' In particular, the latter have 6een derived 6' using
Relationships
Healthcare staff
Support services
Accessibility
Tangibles Responsiveness
Stakeholder
satisfaction
26ilit' of doctors to
understand patients? needs>
26ilit' of nurses tounderstand patients? needs>
Capacit' to 3or4 as a team>
2ppearance of service
personnel>
Communication s4ills>
S3iftness of registration and
admission procedures>
2dministrative 5ualit'>
;aiting time for test results>
;aiting time for medical
records>
Kutpatient 3aiting time for
medical treatment>
Confidentialit' 6et3een
doctor and patient>
Confidentialit' among all
healthcare staff>
Cooperation and helpfulness
of administrative staff>
8umani!ation of
relationships>
7ualit' of food R 6everages
for patients>
Securit' 3ithin hospital>
Cleanliness of facilities and
premises>
Cleanliness of the restrooms>
entilation and h'giene on
the 3ard>
Gighting conditions on the
3ard>
Par4ing area for patients and
visitors>
Suita6ilit' of rooms forpatient>
Suita6ilit' of 3aiting area for
famil'visitors>
Procedures regarding in@patient services>
Hacilities for famil'visitors>
8ospital 3e6site>
2vaila6le information on
facilities>
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the Critical Cases method A/& after a consultation involving several healthcare service e9perts
(healthcare service managers, medical staff and nurses), academics and a limited num6er of
sta4eholders (in@patients, out@patients and their families) *he resulting fundamental healthcare
service 5ualit' structure is sho3n in Hig /
Hig /+ Hundamental structure of healthcare service 5ualit' in Sicil'
Such a fundamental structure 3as considered to perform the anal'sis reported 6elo3
.2 ealthcare service quality evaluation
*he surve' 3as conducted over a five@month period, 6et3een anuar' and Ma' of %#$B Hor each
considered hospital, a6out .# respondents 6et3een in@patients and out@patients, as 3ell a6out %#
among managers, doctors and nurses 3ere intervie3ed via internet 6' the 5uestionnaire form
reported in 2ppendi9 2 *otall', . 5uestionnaires 3ere selected for their completeness from
a6out /-# returned forms Moreover, for 6oth % and&indices a value of #= 3as assumed 7ualit'
perceptions and e9pectations for each esta6lished core service item 3ere calculated 6'
relationships (-) and ("), respectivel' Hig & summari!es the o6tained results
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Hig &+ 7ualit' perceptions and e9pectations of pu6lic healthcare in Sicil'
(% #=>& #=)
More in detail, for all the esta6lished service items, 5ualit' perceptions varied onl' slightl' 3ithin a
narro3 range (##=B> ##&-), 3hereas for 5ualit' e9pectations the degree of variation 3as
significantl' 6roader (##-.> #$%$), as sho3n in Hig & In particular, service items 3ith high
e9pectation levels 3ere S"$,$, S"$,%, S"$,-, S"%,$, and S"%,% Instead, the service items S"-,%,S"-,-, S"-,B, S"B,$,
S"B,%and S"B,-proved to 6e less important
. ealthcare service quality analysis
2s previousl' mentioned, the Serv7ual paradigm 3as herein adopted to anal'!e the healthcare
5ualit' *o this aim, sta4eholder satisfaction (!Si) for an' core service item 3as evaluated via the
corresponding relationship ($$) o6taining the results sho3n in Hig "
####
##-#
##.#
##"#
#$%#
#$=#
SI$,$
SI$,%
SI$,-
SI$,B
SI%,$
SI%,%
SI%,-
SI%,BSI-,$
SI-,%
SI-,-
SI-,B
SIB,$
SIB,%
SIB,-
: #erception
: &-pectation
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Hig "+ Sta4eholder satisfaction indices !Si
(% #=>& #=)
2s one can o6serve, service items 3hich points representative of their !Sifall 3ithin the red area
represent the dissatisf'ing service aspects *hus, S"$,$, S"$,%, S"$,-, andS"%,$represent those healthcare
aspects 3ith 3hich respondents 3ere strongl' dissatisfied Kn the contrar' S"%,B, S"-,%, S"-,-, S"-,B, S"B,$,
S"B,%, and S"B,-3ere considered ver' satisf'ing healthcare aspects
Hinall', perceptions of sta4eholder needs 3ere also collected from healthcare managers and staff
vie3points via 5uestionnaire to elicit the reasons underl'ing sta4eholder dissatisfaction and, thus,
the (apsi $ and . 3ere evaluated In detail, positive values of such discrepancies indicate an
underestimation of the related service aspects 6' healthcare managers and staff respectivel',
3hereas service aspects characteri!ed 6' negative values of such discrepancies are overestimated
Hig $# sho3s the o6tained values
@##.
@##B
@##%
#
##%
##B
##.
SI$,$
SI$,%
SI$,-
SI$,B
SI%,$
SI%,%
SI%,-
SI%,BSI-,$
SI-,%
SI-,-
SI-,B
SIB,$
SIB,%
SIB,-
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Hig $#+ (apsi$ and . values
(% #=>& #=)
*he results reveal that managers? perspectives on healthcare 5ualit' tend to overestimate service
aspects of the criterion !%and underestimate those of the service criteria!$and !- Kn the contrar',
importance of service aspects of the criterion !Bare correctl' understood 6' managers since the'
are characteri!ed 6' almost !ero (api$ values Hinall', according to staff vie3points, ver' important
service aspects are those relating to the criterion !$, service aspects of the criterion !B are
underestimated, 3hereas the criteria !%and !-are correctl' perceived
.! 'onclusions and su//estionsIn the present paper, the pu6lic healthcare sector of the Sicil'
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to 'ork as a team,/ility of doctors to understand patient needs, Staff relia/ility andS'iftness of
registration and admission procedures. Conversel', the o6tained discrepancies characteri!ing
managers? vie3points on service 5ualit' highlight that the importance of the service criteria
Responsiveness, ealthcare staffand Relationshipsis not correctl' perceived 6' them *hus, actions
should 6e primaril' focused on improvements in mar4eting researches, direct interactions 6et3een
managers and sta4eholders and 6ottom@up internal communications to correctl' understand 3hat
sta4eholders actuall' 3ant Hurthermore, effective internal communications of achievements in
service 5ualit' should reduce the discrepancies 6et3een sta4eholders? needs and ho3 staff perceive
those needs Huture research development 3ill regard the improvement of the herein adopted
assessment frame3or4 6' considering MCDM procedures to comparativel' evaluate the 5ualit' of
healthcare service alternatives
Acknowled/ments*he 2uthor than4s the t3o anon'mous referees for their remar4s, 3hich helped
to significantl' improve the paper
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(eferences
A$ Dagger, * S, S3eene', C, R ohnson, ; 2 hierarchical model of health service 5ualit'+
Scale development and investigation of an integrated model, ournal of Service
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the healthcare industry: An empirical case of public hospital service evaluation in Sicily,
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22
A$% Hrimpong, FK, F3an43o, S and Dason, J Measuring service 5ualit' and patient
satisfaction 3ith access to pu6lic and private healthcare deliver'?, Int Pu6lic Sector Management
%-(-) (%#$#) %#-T%%#
A$- Goldstein, SM and Iossifova, 2
-
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23
A%% aschinger, 8S, 8all, M, Pedersen, C, 2lmost, 2 ps'chometric anal'sis of the patient
satisfaction 3ith nursing care 5ualit' 5uestionnaire+ 2n actiona6le approach to measuring patient
satisfaction, ournal of Fursing Care 7ualit' %#(-) (%##=) %%#@%-#
A%- Hish6ein, M, R 2:!en, I Jelief, attitude, intention and 6ehavior+ an introduction to theor'
and research, 2ddion@;esle',
-
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the healthcare industry: An empirical case of public hospital service evaluation in Sicily,
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24
A-B 24tas, 2, Ce6i, S, *emi!, I 2 ne3 evaluation model for service 5ualit' of health care s'stems
6ased on 28P and information a9iom, ournal of Intelligent and Hu!!' S'stems %& (%#$=) $##"@
$#%$
A-= Ja4i, J, Pe4er, I 2n integrated evaluation model for service 5ualit' of hospitals+ 2 case stud'
from *ur4e', ournal of Multiple@alued ogic and Soft Computing %B(=@.) (%#$=) B=-@B/B
A-. Seth, F, Deshmu4h, SG, rat, P Service 5ualit' models+ 2 revie3, International ournal of
7ualit' and
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the healthcare industry: An empirical case of public hospital service evaluation in Sicily,
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25
Soft Computing\ %#$ Springer erlag, 8eidel6erg German' (%##.) %B/@%/B ISJF+ -@=B#@--=$.@
$
AB= Carrasco,
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A== 8eradio,
-
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27
A.= upo, * Strategic 2nal'sis of *ransit Service 7ualit' Using Hu!!' 28P Methodolog', 0uropean
*ransport@*rasporti 0uropei =- (%#$-)
A.. Certa, 2, 0nea, M, and 8opps, H 2 multi@criteria approach for the group assessment of an
academic course+ 2 case stud', Studies in 0ducational 0valuation BB (%#$=) $.T%%
A./ Llir G , Vuan J, Hu!!' sets and fu!!' logic, *heor' and 2pplications, Prentice 8all P *
-
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28
A/. Pa4dil, H, R 8ar3ood, * F Patient satisfaction in a preoperative assessment clinic+ 2n
anal'sis using S0
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Appendi- A
Healthcare staff 0C+ er' poor Poor Hair Good er' good
26ilit' of Doctors to understand patient needs
Capacit' to 3or4 as a team
Staff relia6ilit'
Staff availa6ilit'
Responsiveness 0C+
S3iftness of registration and admission procedures
2dministrative 5ualit'
;aiting time for tests results
;aiting time for medical records
Relationships 0C,+
Confidentialit' 6et3een doctor and patient
Confidentialit' 6et3een all healthcare staff
Cooperation and helpfulness of administrative staff
8umani!ation of relationships
Support services 0C.+
7ualit' of food R 6everage for patients
Securit' 3ithin hospital
Cleanliness of facilities and premises
*a6le 2$+ 7uestionnaire form to collect perceptions of healthcare service
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Please, mar4 in the 5uestionnaire form reported 6elo3 the letters related to 'our :udgments+
%ow important is:
8ealthcare staff
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2: Strongly important c: ery strongly less important
A: oderately important d: +0tremely less important
3: +qually important
*a6le 2%+ 7uestionnaire form to collect e9pectations of healthcare service