ContentslistsavailableatScienceDirect
Health
Policy
jo u rn al h om ep a ge :w w w . e l s e v i e r . c o m / l o c a t e / h e a l t h p o l
Waiting
time
information
in
the
Italian
NHS:
A
citizen
perspective
Sabina
De
Rosis
a,
Elisa
Guidotti
a,∗,
Sara
Zuccarino
a,
Giulia
Venturi
b,
Francesca
Ferré
a aManagementandHealthLaboratory,InstituteofManagementandDepartmentEMbeDS,ScuolaSuperioreSant’Anna,Pisa,ItalybItalianNaturalLanguageProcessingLaboratory(ItaliaNLPLab),InstituteofComputationalLinguistics“A.Zampolli”(ILC-CNR),Pisa,Italy
a
r
t
i
c
l
e
i
n
f
o
Articlehistory:
Received14January2020
Receivedinrevisedform4May2020 Accepted11May2020 Keywords: Waitingtimes Healthcare Onlineinformation Readability Italy
a
b
s
t
r
a
c
t
Publicinvolvementinthemanagementandcommunicationofwaitingtimesisknowntosupport initia-tivestoreducewaitingtimes,aswellasincreasefairnessandpromotetransparencyandaccountability. Inordertoimprovetransparencyandcommunicationtocitizens,ItalyrecentlyupdatedtheNational RegulatoryPlanforWaitingLists(2019–2021),whichcallsforthedisclosureofwaitingtimeinformation onhealthcareproviderwebpages.Thisstudyanalyseswaitingtimeinformationforoutpatientvisitsand digitalservicesavailableontheinstitutionalwebsitepagesof144publichealthcareorganisationsinnine regionsandtwoautonomousprovincesofItaly.Webpageswereanalysedbothintermsoftheavailable information/services,usingagrid,andintermsofthequalityofthetextusinganadvanced readabil-ityassessmenttool(READ-IT).Thisinformationwascomplementedandvalidatedbyregionalhealthcare keyinformantsduringresearch-specificworkshops.Waitingtimeinformationdisclosure,digitalservices andtextreadabilityvariedbothwithinandbetweentheregionalhealthcaresystemsandorganisations. Thetypesandcharacteristicsofwaitingtimeinformationandstatisticsvaryconsiderablywithanegative impactontheiruseforbenchmarkingandtheirreadabilityandusabilityforbookingpurposes.Overall, communicationweaknessesduetolowharmonizationandclarityofinformationcanundermineefforts ineffectivelyinformingandinvolvingthepublicthroughonlinewaitingtimedatadisclosure.
©2020TheAuthor(s).PublishedbyElsevierB.V.ThisisanopenaccessarticleundertheCC BY-NC-NDlicense(http://creativecommons.org/licenses/by-nc-nd/4.0/).
1. Introduction
InseveralOECDcountries,waitingtimes(WTs)areamajor
pol-icyissue[1]andoneofthemainconcernsforthegeneralpublic[2].
Severalcountrieshaveimplementednationalstrategiestoaddress
WTs,bothonthesupplyanddemandsides[3].
Publicinvolvement in WT management and communication
supportinitiativestoreduceWTs,increasefairnessandpromote
transparency and accountability [4–6]. The publicwants to be
engagedandinformedabouthowWTsaremanaged[6,7].Patients
that receive accurate information on WTs and the reasons for
waiting, appear tomaintaina senseof control duringthewait
(includingreducedanxiety)andthistendstoincreasetheir
will-ingnesstowait[8–10].Theprecisionandvalidityofsuchdataand
theircontextualizationiscrucialingeneratingvalueforpatients
[11].Manycountriesarethusinvestingheavilyincreatingsystems
tomakeinformationonWTsavailable,usingwebsitesforpublic
disclosure.In ordertoimproveaccountability,transparencyand
communicationtocitizens,theNationalHealthcareSystem(NHS)
∗ Correspondingauthorat:ScuolaSuperioreSant’Anna,PiazzaMartiridella Lib-ertà33,56127,PisaItaly.
E-mailaddress:elisa.guidotti@santannapisa.it(E.Guidotti).
inItalymandatedthedisclosureofWTinformationonhealthcare
providers’webpagesforspecificoutpatientvisits,diagnostic
ser-vicesandelectiveprocedures.Theserecommendationsarepartof
theNationalRegulatoryPlanforWaitingLists(NationalPlan),the
strategicdocumentdefiningtheframeworkforWTmanagement
inItaly.ThelatestNationalPlanwasissuedin2019andstressed
theneedtoguaranteeamaximumWTforselectedoutpatientand
electivesurgeries,whileimprovingsystemefficiencyand
enhanc-ingaccessand informationtocitizens(seeBox 1forthedetails
ofthethree-yearNationalPlan2019–2021).Thedocumentalso
reiteratestherecommendationsalreadyoutlinedintheprevious
NationalPlan.
TheaboveareumbrellameasurespromotedacrossallItalian
regionalhealthcare systems.Eachregionalhealthcare systemis
alsorequiredtoissuearegionalWTplandetailinglocalmeasures
andrequirementsforachievingthegoalsoftheNationalPlan.
InmostItalianregionalhealthcaresystems,patientaccessfor
selectedhealthcareservicesisenhancedbyusingprioritylevels
formanagingwaitinglists,re-engineeringbookingprocesses(e.g.
bycreatingunifiedbookingcentres)andimprovingavailable
infor-mationtocitizensaboutWT.However,currentpolicies-including
theimplementationofthenationallegislationonpublicly
report-ingofWTs-varyamongregions,withsomebeingveryactiveand
https://doi.org/10.1016/j.healthpol.2020.05.012
0168-8510/©2020TheAuthor(s).PublishedbyElsevierB.V.ThisisanopenaccessarticleundertheCCBY-NC-NDlicense(http://creativecommons.org/licenses/by-nc-nd/ 4.0/).
Table1
Numberofwebsitesanalysedbyregionandtypeoforganisation.
Region/Autonomous province(AP)
RegionalandLHAsa
websites
Publichospital Institutionsbwebsites
FormerOrganisationscstill
activewebsites
Total
Apulia 7 4 11
Basilicata 3 2 5
Bolzano(AP) 2 2
FriuliVeneziaGiulia 6 2 8
Liguria 6 4 10 Lombardy 9 33 42 Marche 5 3 8 16 Trento(AP) 2 2 Tuscany 4 6 7 17 Umbria 3 2 5 Veneto 10 3 13 26 Total 57 59 28 144
aLHAsandtwoLHAswithanacademicprofileoperatinginFriuliVeneziaGiulia. bPublichospitalenterprises,THsandIRCCSs.
c Publichealthcareorganisationswithstillactivewebsiteaftermergers.
othersoftenlaggingbehind.Regionalautonomyinhealthcare
ser-viceshasledtotheadoptionofdifferentapproachesforreporting
WTperformanceinformation.Todate,thereisalackofsystematic
comparativeassessmentsoftheinformationprovidedbetweenand
withinregionsandhealthcareorganisations.
Anotherkey aspectthatis missing is theassessment ofWT
informationqualityinordertounderstandwhethertheWTdata
availableonlineareactuallyusefulandreadilyusableforcitizens.
Usefulnessrelatestothesatisfactionofinformationneedsbased
onusers’expectations,whileinformationisusableifusers
effec-tivelyincorporatespecificinformationintoadecisionprocessand
thusisperceivedassalient,legitimateandcredible[12].In
disclos-ingpublicperformanceinformation,itisimportanttoensurethat
informationthathealthcareprovidershopeisusefulwillactually
helpcitizensintheirdecision-making[13].
Currentevidencehighlightsthatpublicdisclosureof
informa-tionimpacts onboth providersand populationbehaviours, but
not in a uniformfashion [14]. In thehealthcare sector
perfor-manceinformationaffectsmanagers’andprofessionals’behaviour
[15–17],buttoalessextentthepublic’sdecision-making[18,19].
Onlinepublicdisclosureof WTsanswers theneedfor public
accountability.However,ifmeasurementsystemsarenotbased
onhowthemeasurementswillbeactuallyused,theperformance
informationthatcomesoutoftheprocesshasa highchanceof
beingnotusedorusedinappropriately.Performanceinformation
alsoaddressescitizensintheirrolesascustomersofpublic
ser-vices,particularlywhengovernmentscreateyardstickcompetition
betweenhealthcareprovidersandthususerscan“shoparound”
[13].InformationonWTsshouldthusbeeasytofind,readableand
usablebycitizenfordecisionssuchasschedulingselected
outpa-tientandelectiveservices.Onlinebookingshouldalsobeprovided
[20–22].
Finally,readabilityiskeytoperformancemeasurement
infor-mation.Providingunderstandableinformation(e.g.explanations
oftablesand graphs)iscrucial topreventmisinterpretationsof
WTdata,misleadingconclusionsandconsequentdistrustin
pub-licinstitutions[4,6,11,23]. Forinstance,websitesshouldalsobe
readablebythosewithlowliteracyskills.Researchonthe
read-ability of health-related information in Italy, suchas informed
consents,hasshownthatthequalityofwritteninformationisstill
low[24].
This paper aims to describe (i) variation both within and
betweenregionalhealthcaresystemsinItalywithregardtoonline
WTinformationforoutpatientvisitsandunderstandthelevelof
usefulnessinitscurrentformat,(ii)thereadabilityofsuch
infor-mationthroughthereadabilityanalysisofonlineinformation;and
(iii)theusabilityofWTpublicreportingforcitizens.The
analy-siswascarriedoutbyreviewingtheinstitutionalwebsitepagesof
publichealthcareorganisations.
Thepaperisstructuredasfollows:Section2presentsthe
mate-rialandmethods;theresultsoftheanalysisarethenpresentedin
Section3.Lastly,thediscussion,highlightinginsightsand
sugges-tionsforfurtherresearch,isreportedinSection4.
2. Materialsandmethods
2.1. Studysetting
The Italian healthcare system is a universal decentralised
Beveridge system that comprises nineteen regions and two
autonomous provinces (APs). Since the early 1990s, legislative
reformshavegraduallytransferredpolitical,administrative,fiscal
and financial responsibilities regardingthe provisionof
health-carefromthenationalgovernmenttotheregionsand APs.The
devolutionpoliciesledtheregionsandAPstodevelop different
organisational and fundingmodels [25] and differences in the
qualityofcareprovided,thelevelofhealthcareexpenditureand
financialperformance canbeobserved. Thesystemis currently
organisedandgovernedatthreelevels:national,regionalandlocal
[26]. The central government hasa stewardshiprole: it
deter-minesthecorehealthbenefitstobeuniformlygrantedacrossItaly
andallocatesthefinancialresourcestotheregionalgovernments
through general taxation. These regional governments oversee,
organizeand deliverprimary,secondary andtertiaryhealthcare
services,aswellaspreventiveandhealthpromotionservices.They
definetheirownregionalhealthplans,coordinatethestrategiesof
theregions,allocatethebudgetwithintheirsystemsandmonitor
quality,appropriatenessandefficiencyoftheservicesprovided.The
locallevelensurestheprovisionofprimary,secondaryandtertiary
healthcareservices,aswellasthepreventiveandhealthpromotion
servicesthrough:
䊉local health authorities ‘LHAs’ (geographically based
organ-isations, responsible for delivering public health services,
communityhealthcareservicesandprimarycaredirectly,while
secondaryandspecialistcarethroughdirectlymanaged
facili-tiesorbyoutsourcingtopublichospitalinstitutionsorprivate
accreditedproviders);
䊉publichospitalinstitutions(whichoftencooperatewithMedical
SchoolsandworkasTeachingHospitals);
䊉privateaccreditedproviders.
Thesystemallowsthecitizenstochoosethehealthcareprovider
Table2
Numberandresponsibilitiesoftheexpertsengagedinthetwomeetingsandtheworkshoponcommunicationanddigitalservices.
Numberofparticipants(n)
Domainofexpertise Firstmeeting
November2018,Pisa
WorkshopMarch 2019,Pisa
SecondmeetingMay 2019,Florence
Clinicalexpertise 1 2 1
Management 6 10 5
Performanceandinformationflows 18 26 16
Total 25 38 22
Ourstudyfocuses ontheanalysisof thetype and qualityof
WTinformationgatheredfromtheinstitutionalwebsites ofthe
locallevelpublichealthcareorganisationsandtheregional
web-site.Specifically,thedataandanalysisrefertothenineregionsand
thetwoAPsthathaveadoptedtheItalianRegionalPerformance
EvaluationSystem(IRPES)(Table1).
The IRPES measures and evaluates the multiple healthcare
performanceofpublichealthcareorganisations,fromfinancial
via-bilitytoqualityandpatientsatisfaction,throughasystematicand
publicly-disclosedbenchmarkingsystem[27].Since2008,
mem-bership of theIRPES hasbeen ona voluntarybasis, offering a
long-termbenchmarkingopportunity.Throughregularmeetings
andworkshops,theIRPESprovidesopportunitiesforresearch
col-laborationonspecifictopics[28]andexchangewithkeyinformants
fromtheregions.
Ouranalysisincludes144websitesofpublichealthcare
organi-sations:namelyregions,LHAs,publichospitalenterprises,teaching
hospitals(THs)andnationalpublichospitalsforscientificresearch
(IstitutidiRicoveroeCuraaCarattereScientifico-IRCCS,inItalian).
Theanalysisalsoincludesthepublichealthcareorganisations
thatstillhaveawebsiteeventhoughtheyweremergedwithother
healthcareorganisationsduringtherecentreorganisationofthe
regionalhealthcaresystem(Table1).
Inaddition,weanalysedthehealthcare/WTregionalportalsof
thefollowingregions:Apulia,Basilicata,FriuliVeneziaGiulia,
Lig-uria,Lombardy,Umbria,andVeneto.
Data collectionand analysisfocused ontheWTinformation
forspecialistvisitscoveredbythecurrentNationalPlan,aswell
asthedigital bookingand payment servicesforoutpatient
vis-its.Welikewiseinvestigatedwhetherandhowregionsfollowed
theGuidelinesonDigitalServiceDesignforthePublic
Administra-tion,publishedbytheAgencyforDigitalItaly(Agenziaperl’Italia
Digitale-AgID,inItalian)[29].
Threeresearchersindependentlyexploredthewebsites
follow-ingagriddesignedonthebasisoftheNationalPlan
recommenda-tionsandtheAgIDguidelines.Exploitingauser/citizenperspective,
datawerecollectedbysearchingforinformationonthewebsites
usingthegridfromSeptembertoDecember2018.
Anydisagreementsinthegridapplicationfordatacollection
weredebatedamongallauthorsuntilaconsensuswasreached.If
theauthorshadanydoubtswhenexaminingthecollecteddata,a
secondroundanalysisofthewebsitewasrun.
Thegridwasstructuredintothreesections:website
adaptabil-ity,WT information, and digital services (seethe Appendix for
details).
Thesectiononwebsiteadaptabilityassessesboththequalityof
browsing,irrespectivelyofthedeviceusedandtheresponsiveness
ofthewebpages(RWD)[30].Thewebinspectorfunctionalityof
browsers,suchasGoogleChrome,wasusedfortheRWDanalysis.
ThesectiononWTinformationwasdesignedtoassess:
䊉thepresence/absenceofWTdataandrelatedinformation;
䊉thelocationofsuchinformationonthewebsite;
䊉whethertheaccesstoWTinformationwasopentothepublicor
restrictedtosomegroups;
䊉whetherWTsforspecialistvisitslistedintheNationalPlanwere
disclosed;
䊉howWTsweremeasuredanddisclosed:themeasureadopted
(e.g. mean WT), whether the WTs were retrospective or
prospective,theupdatefrequency,theaggregationofdata(e.g.
healthcaredistricts),thesettingofcare(publicornot);
䊉whetherWTconsultationallowedforsimultaneouse-booking
foroutpatientservices;
䊉whetherthehealthcare organisationsalsooffereda platform
and/ormobileapplications(APPs)tosearchforWTinformation.
Thesectionondigitalservicesassessedtheofferingofe-booking
ande-paymentsfor specialistvisits,intermsofavailability and
modeofoperation.
Duringdatacollection,theonlinetextsregardingWTswere
col-lectedtoanalysetheirqualityusingREAD-IT(herecalledGlobal
READ-ITindex[31])andGulpEase[32].
TheGlobalREAD-ITindexwasthefirstreadabilityassessment
toolavailablefortheItalianlanguagebasedonNaturalLanguage
Processing(NLP)techniquesandmachinelearningalgorithms.It
assessesthereadabilityofdocumentsbycombiningtraditionalraw
textfeatureswithlexical,morpho-syntacticandsyntactic
informa-tion.Theindexrangesbetween0and100,theeasierthereadability,
thelowerthescore.
GulpEasewasthefirstindexdevelopedfortheItalianlanguage
based on traditional raw textfeatures (i.e. sentence and word
length).Itrangesbetween0and100-theeasierthereadability,the
higherthescore-withthethresholdof80highlightingatext
read-ablebylesseducatedpeople(primaryschool),60bylow-medium
educatedpeople(secondaryschool),and40bymedium-high
edu-catedpeople(highschool).
WhiletheGulpEaseindexisaproxyforthelexicalandsyntactic
complexityofatext,theGlobalREAD-ITindexcapturesdifferent
aspectsoflinguisticcomplexity,i.e.lexical(suchasmeasuresof
lex-icalrichness),morpho–syntacticfeatures(suchaslexicaldensity
andverbalmood)andsyntacticaspects(suchasorderingpatterns
ofsyntacticelements,structureofverbalpredicatesand
subordi-natefeatures).
The lexical complexity of texts was also assessed using a
vocabulary-based index,which refers tothedistribution ofthe
wordscontainedintheBasicItalianVocabulary (BIV),including
wordshighlyfamiliartonativeItalianspeakers[33].Thisindexis
calculatedasapercentageofadoptedwordsfromtheBIV,with
percentageshigherthan80generallysignallingatextwithahigh
levelofreadability.
Theregionalscoreforreadabilitywasgivenbythemeanvalue
obtainedbytheorganisationsineachregion.
Afterdatacollectionandthepreliminaryanalysis,twomeetings
andaworkshopwereorganisedtodiscussandvalidatetheresults
withregionalrepresentativesandlocalprofessionals,asexpertsof
thedomainand/orinformedonspecificfeaturesofWTsanddigital
services(Table2).KeyinformantswereidentifiedfromtheIRPES
networkofexperts.Duringthemeetings,collecteddatawere
dis-cussedandinterpretedandnewindicatorsoncommunicationand
Box1
MainfeaturesoftheNationalRegulatoryPlanforWaitingLists2019–2021.
GOALS
• MaximumWTguaranteeforselectedoutpatientvisits(n=14), outpatientdiagnostics(n=52),andelectivesurgeries(n=18).Healthcare serviceswereselectedconsideringareaswheretimelinessiskey (oncology,cardiovascular),ordemandishigh(specialistvisits),orwith hightechnologicalcomplexity(diagnostics),orwherethereisstill variabilityinaccessbetweenregions.
• Implementationofsinglebookingcentresandimprovementofonline bookingsystems.
• Guaranteeofbookingserviceswithoutinterruptiontoworkschedule. • Guaranteeoffullproductioncapacityofmedicaltechnologiesavailable
(e.g.MRIscan).
• ImprovementofWTpublicdisclosureatregionalandlocallevels(e.g. throughwebsites).
OVERALLMEASURESFORACHIEVINGSTATEDGOALS
• UseofprioritizationcriteriatomanageWTsbasedonclinicalcriteria andprofessionaljudgement.Fourlevelsofprioritywereidentified: urgent,shorttime,deferrable,andelectiveservice.
• Clearidentificationoffirstaccessandfollow-uppatientsanduseof dedicatedwaitinglists.
• Improvementofrecallsystemstoprevent“noshow”andintroduction offinancialpenaltiesfor“noshow”.
• Useofperformanceindicatorsforwaitinglistandwaitingtime monitoringatanationallevel.
• CreationoftheNationalObservatoryonWaitingListsforsupporting regionsandautonomousprovincesinimplementingandmonitoringthe effectiveapplicationoftheNationalPlanprovisions.
TheaboveareumbrellameasurespromotedacrossallItalianregional healthcaresystems.Eachregionalhealthcaresystemisalsorequiredto issuearegionalWTplandetailinglocalmeasuresandrequirementsfor achievingthegoalsoftheNationalPlan.
3. Results
Variabilitywithinandbetweenregions/APswasfoundinWT
informationdisclosure,onlineserviceavailabilityandtext
read-ability. The websites analysed showed differences in terms of
breadthanddepthofWTinformation,usabilityofsuchinformation
forbookingpurposesandtheirreadability.
3.1. Websiteoverviewandadaptability
Eachregion/APhasaninstitutionalwebsitewithahealthcare
section.Sevenregionsprovidedcitizenswithdedicatedportalson
healthcare/WTs(e.g.Veneto[34]).
Atthe local level, allLHAs have developed their own
insti-tutionalwebsite.However,websitelayout(i.e.dataorganisation
and location on thewebsite) and navigational design differed.
Someregions(e.g.Tuscany)adopted acommonregionallayout
anddesign,thusfacilitatingnavigationacrossdifferent
organisa-tionalwebsites.Otherregions-suchasBasilicata-optedforaless
homogeneousapproach.
Websiteadaptabilityanalysisshowedthatallthewebsitesare
adaptiveoratleastpresentaresponsivewebdesign.Citizensare
thusabletoconsultallthewebsitesusingbothacomputeranda
mobiledevice.
3.2. Waitingtimes
Morethan96%ofthewebsitespresentedasectiondedicated
toWTsforappointmentswithspecialists,withdescriptive
infor-mationontheWTs.FourorganisationsdisplayedWTdataintables
withnoexplanation.
More thanhalf of theorganisations (56%) showed WTs for
appointments with specialists in an online section devoted to
bureaucraticissues,called“TransparentAdministration”in
com-pliancewithItalianregulationsontransparency.Anothergroup
of organisations(30 %) showedWTinformation ontheir home
page.Theothers showedWTsin thecitizen/usersectionof the
webpage.Theanalysisrevealedthatabout32%ofthehealthcare
organisationsplacedWTinformationforappointmentswith
spe-cialistsoutsidetheirwebsite,eitheronaninter-organisationalor
regionalpages.Thelatterapproachwasadoptedby12outof16
publichealthcareorganisationsintheMarche[35]andall
health-careorganisationsinFriuliVeneziaGiulia[36].
WTinformationwasaccessibleforallusers,withfew
excep-tions.
Around30%oftheorganisationsprovidedWTswithout
detail-ingdatainaccordancewiththeNationalPlanprioritycodes.Around
one-thirddisplayedWTsonlybythreeprioritycodes:‘Shorttime’,
‘Deferrable’and‘Elective’.Onlyabout22%disclosedWTsusing
the fourpriority codes. A smaller percentage (13 %) presented
WTsbyprioritycodesdifferentfromthoselistedintheNational
Plan.Theremainingorganisationsuploaded WTdata
differenti-ated bysome combinationsof theNationalPlan prioritycodes
only.
Atleasttwo distincttypesofWTsbasedontwoinformation
flowswere identified:1)“completedwaits”, i.e.a retrospective
lookatpatientswhohadalreadyreceivedcare,2)“expected
wait-ingtime”,i.e.aprospectivelookattheavailabilityofcarefornew
patients. However,theanalysisshowedthat the64%of public
healthcareorganisationsdidnotincludethesourceofdataused
tomeasureWTs.
WTstatisticsweredisplayedindifferentwaysandoftenmore
thanonemeasurewasprovided.MeanWTwasthemostfrequently
displayedmeasure(almost50%oforganisations),followedbythe
percentageofvisitsfallingwithintherequiredstandardmaximum
WT(nearly39%oforganisations)andbytheminimumWT(about
19%ofcases).
Other ways of measuring WTs included the maximum WT
(around15%ofcases)andfirstdateavailableforanappointment
withaspecificspecialist(almost12%ofcases).Morethan30%of
organisationsshowedWTdataaccordingtoothermeasures.For
example,inFriuliVeneziaGiuliaWTsweredisclosedas“estimated
waitingtimes”,calculatedonthebasisofthethirdavailableslot
foundwithasimulationbasedontelephonecallsthroughthe
book-ingcentre.However,inmorethan15%ofcasesWTstatisticswere
providedwithoutanyexplanationaboutthemeasureadopted.
Thedistributionofmeasuresusedbypublichealthcare
organi-sationstomonitorWTsisshowninFig.1.
WT statistics were updated with different frequencies. The
majorityofwebsites updateddataeverymonth(24%) orevery
quarter(18%).Inafewcasesthestatisticswererevisedeveryyear
(7%)oreverysixmonths(8%).Lessthan20%oforganisations
updatedthestatisticseveryweekoreveryday,makingWTs
avail-ableinreal-time.Aquarteroftheorganisationsdidnotstatethe
frequencyofupdates.
ThestudyrevealedthatWTdatawereprovidedaccordingto
dif-ferentlevelsofaggregation.Theminimumlevelwastheindividual
provider(e.g.laboratoryservices)andabout50%oforganisations
showedWTinformationaggregatedatthislevel.Approximately32
%ofcasesprovidedWTdatafortheorganisationasawhole(e.g.TH,
LHA).Atotalof16%displayedWTdatabylocalhealthcaredistrict
orbyAreaVasta(i.e.theentityappointedtocoordinateLHAsand
THsactionsinageographicalarea).Asmallpercentageof
health-careorganisationsdisclosedWTsaggregatedattheregionallevel
orbyDirectlyManagedHospital.
WTswerealwaysavailableforoutpatientspecialistcare
pro-videdbypublicpractices,butrarely(4%)formedicalstaffworking
privatelywithinapublichospital,eventhoughtheNationalPlan
requireshealthcareinstitutionstoprovidetheinformationforboth
practices.Elevenpercentoftheinstitutionsreportedthattheyonly
disclosedpublicpracticeWTs.Nevertheless,thisinformationwas
Fig.1.WaitingtimestatisticsinnineregionsandtwoautonomousprovincesofItaly,percentageoforganisationsshowingspecificWTtypeineachregion.
Approximately66%oftheorganisationsdidnotclearlyspecify
whetherWTdatareferredtopublicorganisationsonlyorincluded
privateaccreditedinstitutions. WTdisclosure for appointments
withspecialistsofferedbyprivateaccreditedproviderswas
sel-domdisplayed(26%ofcases).Only7%ofthewebsitesdeclared
whetherWTinformationreferredexclusivelytopublicproviders.
3.3. Digitalservices
Around63%oftheorganisationsenableduserstoconsultWTs
andsimultaneouslye-bookingforappointmentswithspecialists.
Inallthesecases,asynchronous/real-timeservicefore-booking
wasavailable.Another5%ofthehealthcareorganisationsallowed
citizenstobookavisitinanasynchronousway(i.e.theuserssend
anemailorfill-inaformonthewebsiteandtheyarelatercontacted
byanoperatortobooktheappointment),withoutthepossibility
toconsulttheWTsallatonce.
About21 %of thee-booking serviceswere provided bythe
individualorganisation,while50%weremanagedbytheregions.
Theauthoritiesin Marchedidnot provideane-bookingservice
andonlyafeworganisationsinLiguriaandTuscanyprovidedthis
serviceatthetimeofourstudy.Apulia,Basilicata,Bolzano,Friuli
VeneziaGiulia,Lombardy,TrentoandUmbriaofferedreal-time
e-bookingforappointmentswithspecialistforalmostallthepublic
providers.
Wealsocheckedwhetherappointmentswithspecialistscould
bepaidforonline.Tenoutoftheelevenregions/APsimplemented
onlinepaymentforthisservice.Withinthesetenregions,mostof
theorganisationsofferedthisdigitalservice,exceptforafewcases.
Atotalof75%oftheorganisationswerefoundtohaveAPPs,
offeringawiderangeofdifferentservices.Around20%of
organi-sationsalloweduserstopayforoutpatientcareviaanAPP.Inmore
than40%ofcases,e-bookingforappointmentswithaspecialist
wasavailableviaanAPP,for exampleApulia (PugliaSalute)and
Lombardy(Salutile)APPs.Onaverage,only50%ofthe14
outpa-tientappointmentswithspecialistslistedintheNationalPlanwere
availablefore-bookingusinganAPP.
Specificindicatorsonthedigitalisationofbookingandpaying
forhealthcareserviceswereintegratedintotheIRPES.
3.4. Readabilityanalysis
TheWTtextswereverydifficulttoreadbothatlexicaland
syn-tacticlevels.Toprovideanideaaboutthelinguisticcompetences
neededtounderstandthetexts,weusedtheGulpEaseindexasa
measuredesignedtotestthereadabilitywithrespecttotheuser
educationallevel(seeMethods).Thetextsissuedbysixregions
werehardtoreadforuserswithprimaryeducation,whilethose
issuedbytheotherregions/APsweredifficultevenforcitizenswith
alowermiddleschooldiploma.TheGulpEaseindexrangesfrom0
(lowreadability)to100(highreadability)andtheWTtextsscores
werebetween50and74points(Fig.2.B),sotheirreadabilityis
“medium”.However,weexpectedthepublishedtexts-whichare
supposedtobeunderstoodbyawidevarietyofreaders-tohave
anoptimallevelofreadability,namelyascorehigherthan80,the
easy-to-readthresholdforpeoplewithaprimaryeducation.We
adoptedtheGlobalREAD-ITindex,areadability-indexrangingfrom
100(highdifficulty)to0(lowdifficulty),togathermoredetailed
informationonthelinguisticcomplexity.Fortheanalysedtexts,
theGlobalREAD-ITscoresrangedfrom98to70points(Fig.2.A).
Sixty-threepercentofthescoresrangedinbetween98 and92
points.
Thesefindingsindicatedthatthetextsshowcomplexlinguistic
characteristics,suchasmultiplesubclauses,complexverbal
pred-icate structures, non-canonicalorders of sentenceconstituents,
andembeddedsequencesofsubordinateclauses.Withrespectto
rawtextfeatures,thereadabilityoftheWTtextsvariednotonly
betweenregionsbutalsowithinthem.Forinstance,the
organisa-tionsinLombardyobtainedscoresrangingfrom99.59to1.78points
fortheGlobalREAD-ITindex,sincethedistributionoflinguistic
characteristicsaffectingreadabilityvariesgreatlyamongtexts.The
analysispointedoutthetextsarequitehardtoread.Concerning
thelexicalaspects,theuseofBIVwordsinthetextswassimilar
Fig.2. GlobalREAD-ITindex(A),GulpEaseindex(B),PercentageofBasic-Vocabulary words(C)forWTinformationtexts.
Duringthemeetingwiththeregionalkeyinformants,new
read-ability indicators onthe WT websitetexts were discussed and
adoptedintotheIRPES,namely:
• GlobalREAD-ITindex;
• GulpEaseindex;
• PercentageofBIVwords.
4. Discussion
While thepublic disclosure of healthcare performance data
impacts on healthcare systems by affecting the behaviour of
managersandprofessionalsoftenthroughreputationalpressure
[15–17], evidencesuggeststhat citizens rarelyusethepublicly
availabledata,and,whentheydo,ithasalimitedimpactontheir
decision-making[18,19].
Although Italian patients can choose healthcare providers,
wecannot normativelyargue thatpubliclyaccessible and
easy-to-understand WT information changes citizens’ behaviourand
shouldbeprescriptivelyconsideredasatoolforcitizens’
empow-erment or choice. Lay people shouldbe able to interpret such
informationandactonit[37].Thismeans,forinstance,thatpatients
shouldactasconsumers,thoughthisaspecthasnotbeenfoundby
theliteratureonpublicreporting[18,38].Nevertheless,citizensdo
showhighinterestinWTdata[6,7]andinformingpatientsonWTs
canpositivelyaffectpatientbehaviourinbettermanagingtheircare
pathway[6–8].
Our study highlights variability both within and between
regions/APsinItalywithregardtoonlineWTinformationfor
outpa-tientvisits,thereadabilityofthewebpagetextsandtheavailability
of concurrentdigital servicesthat citizensexpect tofindwhile
consultingwaitingtimesforselectedoutpatientservices.This
het-erogeneitycanbeahurdleforcitizens[39].
Overall,ourfindingsshowthereisroomforimprovingthepublic
reportingofWTdatainseveralaspects.
First,onlyonethirdoftheregionsinvestigatedinourstudyhave
WTinformationontheirhomepage,whilemostregionsusea
web-site sectiondevotedtobureaucraticissuesunderlyingthemere
administrativenatureofinformationreporting.Theeffectivenessof
suchcommunicationstyleisnothighintermsofcitizenawareness
[6].Inthisview,theuseofperformanceinformationproducesa
dis-tortionbecausewhatisactuallyvaluedisthepursuitofthetarget
(WTpublicdisclosure)ratherthantheintendedeffects
(account-abilitytowardscitizenstoimproveservicedelivery).Thiscanleave
theorganizationwithoutastimulusforimprovement,i.e.“hitting
thetargetbutmissingthepoint”[16,40].Wesuggestthatonline
WTreportingshouldbeeasilyavailableonthehomepage-since
thepublicinterestishigh-andshouldbelinkedtootherrelevant
onlinesectionsabouttheuseofsuchinformation.
Second,withregardtothetypeofWTinformation,thewebsites
showalowlevelofhomogeneityintermsofstatistics,frequency
ofupdatesanddataaggregation,oftensuggestingweaknessesin
theaccuracyandreliabilityofthedata.Therefore,citizenscannot
easilyuseWTdatatocompareproviders[11],monitorWTtrends
andgetinformationontheexpectedaccesstimeforselectedcare
visitsortreatments.
These findings highlightthat the harmonizationof WTdata
needstobeimprovedtogetherwiththeprecisionofdata. This
isparticularlyimportantwhendataisusedforexternalreporting
acrossorganizations,toallowbenchmarking.Indeed,
accountabil-ityis tiedtomeasurable,relevantand comparableindicatorsof
Third,theWTsshownonlineareoftennotrelevanttopatients,
sincetheyreportstatisticssuchasthepercentageofvisitsprovided
withintherequiredstandards,insteadofmeasuringtheactualWT
(i.e.duration),whichiswhatmattersforpatients[1].These
admin-istrativereportingformatsarenotveryhelpfulincommunicating
withcitizens.WTs needtobemade interesting,valid and
use-fultopatients,alsobylinkingWTswithothersignificantaspects
ofcare,forexamplebyprovidingreal-timeonlinebooking[11].
Currently,themajorityofItalianregionsorhealthcare
organisa-tionswereviewed,enableuserstoconsultWTswhenbookingan
appointmentwitha specialistinrealtime. Althoughthis digital
serviceisnotbuilttoprovideacomprehensivepictureofWTdata,
itenablespatientstoaccessanduseWTinformationfora
deci-sionprocess.Indeed,onlinebooking(i)reportsWTdatainaneasy
format,usuallywiththefirstdateavailable;(ii)providestimely
accesstoWTsand(iii)isdirectlylinkedtotheoptionofbookingan
appointment.
Althoughwe cannot argue that thecombination of
easy-to-understand,up-to-dateWTdataandonlinebookingsystemscan
reallyempowercitizens,itcanenablethemto‘act’usingWT
infor-mationasoneofthecriteriainmakingachoice.Forthisreason,
wesuggestthatprovidingcitizenswithclear,relevantand
under-standableWTinformation,whilegivingthemtheopportunityto
chooseamongprovidersforappointments,canmakecitizensmore
informedandactive.
Fourth,ourstudyhighlightsthatreadabilityisakeymeasure
fortheefficacyofpublicreporting[41,42].Thereadabilityanalysis
shows thatonline information aboutWTs is difficult to
under-standfor thosewithlow andmedium levelsofeducation,thus
raisingequity issuesin termsofaccessanduseofonline
infor-mation.Besides constructionsof sentences related tolinguistic
complexity, the negative results of readability can be partially
explained by theabsence of a healthcare glossary for
measur-ingthetextreadability(i.e.specificterms,mostrecurrentwords),
thusoverestimatingthedifficultyofthewrittennarrativesatthe
lexical level. In the light of thesefindings, we suggest a
thor-oughrevision of texts to improvethe readability,envisaging a
collaborative workbetweenspecialist writers and practitioners
whostayindirectcontactwithlaypeople,sotofithealth-sector
specifictermswithculturalandlinguisticaspectsoftheaverage
citizen.
Overall,ourfindingsrevealthatthepublicdisclosureofWTs
isvariableandfragmentedinItaly. Thissuggeststhatwhatthe
NationalPlanrecommendedintermsofonlinepublicdisclosure
ofWTshasnotyetbeenturnedintoausefulandusableinstrument
forcitizens.Someofthelimitationscouldbeovercomebyadopting
collaborativeandparticipatoryprocesses,involvingregional/local
healthcare organizations and inviting citizens to participate in
definingareportingformat.AsetofperformanceindicatorsonWTs
isalreadyusedatnationalleveltoevaluatetheessentiallevelsof
care,andregionalad-hocanalysestoidentifyWTdeterminantsand
geographicalvariation are available[43,44].Nevertheless,these
performanceindicatorsarenotappropriateforapublicdisclosure
ofWTinformation,fromthepatientperspective.ProperWT
indi-catorsshouldbesharedandendorsedbycitizens,practitionersand
managers.
The publication of performance information should play a
keyrolein supportinghealthcare systemimprovementthrough
benchmarkingandreputation[45].Nonetheless,thereareseveral
instances where public disclosure generates pressure on
orga-nizations, which in somecases maybecome dysfunctional.For
example,thethreatofbeingnamed-and-shamedcancause
repu-tationalconcernsamongtheprovidersand-ifwelldesigned-can
improvetheperformanceofweakorganizationsdifferentlyfrom
the approaches based on command-and-control [16,41,46–49].
However,otherrisksarisewhenintroducingnaming-and-shaming
reformscombinedwithsanctionsandrewardsusingthetraditional
top-downapproaches.
ThisiswelldocumentedbytheNHSinEnglandwhichattempted
toreduceWTsthroughanaming-and-shamingregimecombined
withtargets-and-terror[15].First,thisapproachdoesnotstimulate
excellence,aboveallforprovidersthathaveanacceptable
perfor-mance:thereisnoshameinstayinginthemiddle[15,50].Second,
thetop-downapproach couldlead toa decreasein
responsibil-ityandengagementofhealthcareprovidersatthelocallevel[15].
Third,thehierarchicalapproachoftendoesnotallowflexibility,
andissuescanarisewhenpoliciesareimplementedatalocallevel
withoutanyadjustmenttolocalfeatures.
A social process of collegial benchmark competition, which
fostersthe identificationof best practices and continuous peer
learning, should be embraced when publicly reporting
perfor-manceinformation, especiallyin thehealthcaresectorwhere it
has been proven to improve performance. This is particularly
true when the rewards have reputational effects through the
publicreportingofperformance benchmarking(a sortof
‘repu-tationalcompetition’)andaredesignedforhighperformersonly,
without a ranking system with performance reported
accord-ingtomultiplecriteria[15,51].We encouragepolicymakersto
designWTreportingsystemsgroundedonbenchmarkingtoexploit
thereputationaldrivers,which have already beensuccessfulin
Italy.
Forexample,havinganationalweb-platformcanallowpublic
benchmarking among providers at different levels. The
Min-istryofHealthcouldexploitthepermanentNationalObservatory
on Waiting Lists to provide a common web-platform where
the regions/organisationscan homogeneously uploadWT data,
in addition to the already available local publicly-disclosed
data.
Our findings open up several new research questions. The
importanceofintegratingWTinformationwithotherindicators,
suchasthequalityof care,couldbeinvestigated.In fact,there
isevidenceabouttheoutput-distortioneffectinmeasuringWTs
withoutincludingqualitystandards[52].Moreover,ina
perfor-manceevaluationperspective,combininganumberofperformance
indicatorsacrossmultipledimensionscanavoidthefocustrickof
thenaming-and-shamingapproach,givenbyproviderstargettheir
energiestowardsimprovingasinglemeasurewhilelosingsighton
theotherindicators.
Additional more analytical studies could be run when
har-monisedandcomparableWTdatawillbeavailable.Itwouldbe
alsointerestingtotestwhetherthecomplexityofwrittentexts(in
termsofreadability)combinedwiththechosenWTmeasures(e.g.
averagetime,numberofpatientswaiting)isassociatedwith
dif-ferentlevelsofonlineaccesstoWTsandcitizens’usageofonline
booking.
Withthisrespect,thechoiceofaspecificWTdatavisualization
canalsobeenstudied,inordertoverifywhethertheregionsor
healthcareprovidershavemadeanyeffortsinmakingWT
infor-mationmeaningful,easytointerpretandusealsothankstodata
presentation.
Futureresearchcouldanalysethereasonsbehindthehigh
vari-ability and fragmentation of WT public disclosure in Italy. For
example,theimportancegivenbythehealthcareorganisationsto
thepublicdisclosureofWTs,andtherelateddigitalservicesbythe
healthcareorganisations,canplayakeyrole:thiscanbe
investi-gatedbystudyingwhethertheyusespecificmanageriallevers,such
asincentives[53,54].
Our article presents some limitations, such as the
non-representativesampleconsistingof tworegionsin thesouthof
Italy,threeinthecentreandsixinthenorth.Thisdidnotallow
ustocompletelymapthewholescenarioinItaly.Furthermore,a
thebestpracticewasoutofthescopeofthiswork.Nevertheless,
someresultsfromaqualitativein-depthstudyongoodpractices
foronlinedisclosureofhealthinformationinItalycanbefoundin
DeRosisandcolleagues[55,56].
5. Conclusions
PubliclyreportingWTs onwebsites isexpectedtofosterthe
transparencyandaccountabilityofthehealthcaresystemandto
achieve performance improvements thanksto thecomparisons
amongprovidersandamoreinformedchoiceforcitizens.
Whilecitizensmaybevery interestedin WTdata,thereare
stillseveralsignificantbarriersinItaly:thelowreadabilityofWT
onlineinformation,thenon-standardandnoteasy-to-find
loca-tionofWTdataonwebsites,thevariabilityinparametersandthe
levelofaggregationadoptedtoreportWTstatistics.Thesefindings
suggestmosthealthcareorganisationsinItalyinterprettheonline
publicdisclosureofWTsasmerelycompliancewiththelawrather
thananopportunityforinterfacingwiththepublic.
SeveralregionshaveadoptedpoliciesregardingWTdata
inte-grationwithine-bookingservices.Thistrendcanactasa driver
toreducesomebarriersforcitizensinaccessing,understanding,
contextualizingandusingWTdataformanagingtheircarepaths.
IntegratingonlinebookingwithinWTpublicdisclosuresystems
canbeaneffectivecommunicationchanneltowardscitizens,when
designedtobetransparent,accessible,readableandusable.
Funding
Thisresearchdidnotreceiveanyspecificgrantfromfunding
agenciesinthepublic,commercial,ornot-for-profitsectors.
DeclarationofCompetingInterest
Theauthorsdeclarethattheyhavenoconflictsofinterest.
Acknowledgements
ThisstudywassupportedbytheItalianRegionalPerformance
EvaluationSystem(IRPES)steeredbyLaboratorioManagemente
Sanità,InstituteofManagement,ScuolaSuperioreSant’AnnaPisa
(Italy).TheauthorsacknowledgeProfessorSabinaNutiandallthe
researchersfromLaboratorio ManagementeSanità, Instituteof
Management,ScuolaSuperioreSant’Anna,fortheirconstant
sup-portand useful comments.The authorsaregrateful toMichela
Cassanoforthedatacollection.Theauthorswouldalsoliketothank
allIRPESregionaladministratorsandtheirstaffforparticipatingin
thead-hocmeetingsoncommunicationinhealthcare.
AppendixA. Supplementarydata
Supplementarymaterialrelatedtothisarticlecanbefound,in
theonlineversion,atdoi:https://doi.org/10.1016/j.healthpol.2020.
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