Contents lists available atScienceDirect
Digestive
and
Liver
Disease
j o u r n a l h o m e p a g e :w w w . e l s e v i e r . c o m / l o c a t e / d l d
Translation
and
initial
validation
of
the
Medication
Adherence
Report
Scale
(MARS)
in
Italian
patients
with
Crohn’s
Disease
Maria
Lia
Scribano
a,
Flavio
Caprioli
b,c,
Andrea
Michielan
d,
Antonella
Contaldo
e,
Antonino
Carlo
Privitera
f,
Rosa
Maria
Bozzi
g,
Emma
Calabrese
h,
Fabiana
Castiglione
i,
Antonio
Francesco
Ciccaglione
j,
Gianfranco
Delle
Fave
k,
Giorgia
Bodini
l,
Giuseppe
Costantino
m,
Robert
Horne
n,o,
Silvia
Saettone
p,
Paolo
Usai
q,
Piero
Vernia
r,
Sara
Di
Fino
s,∗,
Giuliana
Gualberti
s,
Michela
di
Fonzo
s,
Rocco
Merolla
s,
Ambrogio
Orlando
t,
The
SOLE
Study
Group
aIBDCenter,SanCamillo-ForlaniniHospital,Rome,Italy
bGastroenterologyandEndoscopyUnit,FondazioneIRCCSCa`Granda,MaggioreHospital,Milan,Italy cDepartmentofPathophysiologyandTransplantation,UniversitàdegliStudidiMilano,Italy
dDepartmentofSurgery,GastroenterologyandDigestiveEndoscopyUnit,SantaChiaraHospital,Trento,Italy eGastroenterologyUnitDETO,HospitalofBari,Bari,Italy
fIBDUNIT,EmergencyHospital“Cannizzaro”,Catania,Italy
gGastroenterologyandendoscopyunit,ASLBenevento,Benevento,Italy
hGastroenterologyUnit,DepartmentofSystemsMedicine,UniversitàdegliStudidiRoma“TorVergata”,Rome,Italy iGastroenterology,DepartmentofClinicalMedicineandSurgery,Università“FedericoII”,Naples,Italy
jGastroenterology,“S.Spirito”Hospital,Pescara,Italy kGastroenterology,S.AndreaHospital,Rome,Italy
lGastroenterologyunit,SanMartinoHospital,UniversityofGenoa,Genoa,Italy
mIBD-Unit,ClinicalUnitforChronicBowelDisorders,DepartmentofClinicalandExperimentalMedicine,UniversityofMessina,Messina,Italy nCentreforBehaviouralMedicine,UCLSchoolofPharmacy,UniversityCollege,London,UK
oCentreforAdvancementofSustainableMedicalInnovation(CASMI),London,UK pSCDOGastroenterology,Hospital“MaggioredellaCaritàdiNovara”,Novara,Italy qGastroenterology,HospitalofCagliari,Cagliari,Italy
rGastroenterology,Sapienza,UniversitàdiRoma,Rome,Italy sAbbVie,Rome,Italy
tChronicInflammatoryBowelDiseaseDept.Unit,Hospital”VillaSofia–Cervello”,Palermo,Italy
a
r
t
i
c
l
e
i
n
f
o
Articlehistory: Received8May2018 Receivedinrevisedform 20September2018 Accepted21September2018 Availableonlinexxx Keywords: Crohndisease MARS-5 Medicationadherence Translationvalidation
a
b
s
t
r
a
c
t
TheMARS-5(MedicationAdherenceReportScale)wasdevelopedinEnglish.Theaimofthisproject wastoanalysetheMARS-5I(©ProfRobHorne)psychometricpropertiesandtoidentifywhetherits ItaliantranslationissuitableforassessingmedicationadherenceinCrohnDisease(CD)Italianpatients. TheMARSwastranslatedandlinguisticallyvalidatedinItalian.TheMARS-5Iwasusedforevaluating medicationadherenceintheSOLEstudy,conductedinItalyon552subjectswithCD.Inorderto un-biasthequestionnaireresultsfromtheeffectsoftreatmentchangeand/oreffectiveness,theanalyses wereperformedonthe277patientswhosediseaseactivityremainedstable,selectedamongthe371 patientswhomaintainedthesametreatmentbetweentwoconsecutivevisits.Internalconsistencywas high(Cronbach’salphaof0.86).Pearson’scorrelationcoefficientwas0.50(p<0.001)and0.86(p< 0.001-outliersremoved),indicatingsatisfactorytest-retest.MARS5IscoreswerenotcorrelatedwithTreatment SatisfactionQuestionnaireforMedicationbutasmallandstatisticallysignificantcorrelationwasshown withphysician-evaluatedmedicationadherence,indicatingconvergentvalidity.MARS-5I,theItalian translationoftheEnglishMARS,showedsatisfactoryinternalconsistencyandtest-retest,andalowbut statisticallysignificantconvergentvalidity.WeconfirmedtheutilityofthistoolinpatientswithCD.
©2018PublishedbyElsevierLtdonbehalfofEditriceGastroenterologicaItalianaS.r.l.
∗ Correspondingauthorat:AbbVieSrl,Vialedell’arte25,00144,Roma,Italy E-mailaddress:sara.difino@abbvie.com(S.DiFino).
https://doi.org/10.1016/j.dld.2018.09.026
1. Introduction
Crohn’sdisease(CD)isachronicinflammatorycondition affect-ingthegastrointestinaltract,characterizedbyperiodsofremission andflare-ups[1].Althoughreliableepidemiologicalstudies regard-ingthisclinicalconditionarenotavailableinItaly,CDhasbeen consideredtohaveanationwideincidencerangingfrom2.3to5.8 per100,000inhabitants[2,3].Morerecentlyastudycarriedouton theentirepopulationoftheItalianregionLazioreportedan inci-denceof7.0per100.000inhabitants[4].Thesedatasuggestthat theincidenceofCDinItalymaybehigherthanpreviously antic-ipated.PatientssufferingfromCDareoftenyoung,thereforewill beartheburdenofthediseaseformanyyears,withamajorimpact ontheirdailyactivities,productivityandqualityoflife.
ThemanagementofCDhasbeenprofoundlymodifiedbythe introductionofbiologictreatments,inparticularbytheavailability ofTumour-Necrosis-Factor-␣(TNF-␣)inhibitors.TNF-␣inhibitors haveprovenhighlyeffectiveinCD,reducingratesofhospitalization andsurgery[1,5].However,despitetheavailabilityofsucheffective agents,CDtreatmentremainsoftensuboptimalandflaresremain partlyuncontrolled[6].
Ithasbeenrecentlydemonstratedthatnon-adherenceto pre-scribedlong-termtreatmentisamajordeterminantoftreatment efficacyininflammatoryboweldisease(IBD)patientsand repre-sentsacommonprobleminIBDmanagementinclinicalpractice. Thefrequencyofnon-adherencerangesfrom18to30%asreported in several recent international trials [7–10]. In a recent study ofpotentialtriggersforIBDflares,whichincludednon-steroidal anti-inflammatorydruguse, antibioticuse, stressful life events, cigarette smoking,infections, travel in thepreceding 3months, andmedicationadherence,onlythelastoneresultedtobe signifi-cantlyassociatedwithflares[11].Thesefindingsareincentivesto improvemedicationadherence,andtosetuptoolsformeasuring thisparametereasilyinreallifeIBDsettings.
Sinceonlyasingletrialregardingtreatmentadherencein Ital-ianCDpopulationhasbeenpublishedsofar[12],weincludedthis evaluationintheSOLEstudy(SurveyonqualityOfLifeinCrohn’s patiEnts)protocol.
Amongthemethodsfor assessingadherencebehaviour, self-reportmeasures are themostcommonly used in research and clinicalcare[13].Theyrepresentthemostpracticaltoolfor mea-suring adherence, with their easy and flexible administration, low-cost,andminimalpatientburden.Self-reportedmeasuresof adherencecan provide valuable estimates of medication dose-takingbehaviourandinformationregardingpsychosocialfactors relatedwithadherence(suchasreasonsfornon-adherenceand attitudes/beliefstowardmedicines)[13].
Nevertheless,self-reportedmeasureofadherencecanbe fre-quentlyinaccurate,becausepatientsoftenfailtorecollectwhether theytookthedrugornot,andtendtoover-reporttheiradherence, duetothesocialdesirabilityofhighadherencelevels.Forthese reasons,self-reportscalesresultscansufferfromaceilingeffect, withthemajorityofrespondentreportinganunrealistic perfect adherence[13].
Beingawareofself-administeredadherencemeasures advan-tagesanddisadvantages,wedecidedtoadoptoneofthesetools in ourprotocol, since weconsidered ease of useand low bur-denforpatientsandinvestigatorsoutweighingtheirdrawbacks. Amongtheavailabletoolswechosethe5itemsMedication Adher-enceReportScale(MARS-5-©ProfessorRobHorne),awidelyused simpleself-administeredquestionnaire[14].
TheMARS-5isaimedtocollectinformationregardingpatient’s levelofadherencetotheprescribedpharmacologicaltherapy.Itis agenerictool,whichcanbeadministeredregardlessofthedisease andtheprescribeddrug.Ithasbeenvalidatedsofarindifferent clinicalsettings,namelystatintherapy[15],rheumatoidarthritis
[16],asthma[17],psychosis[18],andhasbeenusedforassessing adherenceinmanyclinicalstudiesworldwide[19–37].
The MARS-5 consists of 5 items describing non-adherent behaviours (“Iforget totakethe medicine/ I alter thedoseof medicine/Istoptakingthemedicineforawhile /Idecidedto missoutadose/Itakelessthaninstructed”):patientsareasked toevaluatehowoftentheyadopteachbehaviourwitha5point scale,rangingfrom“always”to“never”(1–5points).Thescaletotal score rangesfrom 5(lowest adherence)to 25 points(maximal adherence).
TheMARS-5wasoriginallydevelopedinEnglish[14],andhas beentranslatedinGerman,Swedish,andPortuguese[38–40].Due tothelackofanItalianversionoftheMARS-5(MARS-5I©Prof.Rob Horne),thescalewastranslatedbeforeSOLEstudystartandthe Italiantranslationperformedlinguisticvalidation.Theaimofthis projectwastoanalysetheMARS-5Ipsychometricpropertiesand toidentifywhetheritsItaliantranslationisasuitableinstrument forassessingmedicationadherenceinCDItalianpatients,inorder tobeabletohaveafastandsimpletooltoquantifythepatients’ compliance.
2. Materialsandmethods
2.1. TheMARS-5Ilinguisticvalidation
TheMARSwasoriginallytranslatedintoItalianbytwo indepen-dentprofessionaltranslators.Thetranslationswerethendiscussed duringaconsensusconference,whichboththetranslatorsattended alongwiththreesupervisinggastroenterologists.Duringthe con-ferencethetwotranslationswereevaluated;theoneconsidered moreclearandaccuratewasselectedandconsequentlyamended accordingtosuggestionsmadebythephysicians.
The final Italian translation was then back translated into Englishbyamothertongueprofessionaltranslator;theback trans-lationwasapprovedbytheMARSoriginator,ProfessorRobHorne, and then tested in a group of 15 patients. The patients were askedtoanswertheMARS-5Iitemsand toreportanydifficulty inunderstandingthem.Followingthiscomprehensionevaluation, nofurtheramendmentstotheMARS-5Iwererequired.
2.2. TheSOLEStudy
ThevalidatedMARS-5Iwasthenusedforevaluatingmedication adherenceintheSOLEstudy,alargemulticentresurvey,conducted inItalyin38referralcentres,onadult(≥18years)subjectswitha diagnosisofactiveCD,prospectivelyrecruited overa12-month observationperiodbetweenSeptember2011andNovember2013 (n=552),withvisitsscheduledatbaseline,3,6and12months.
Patient’s disease activityin SOLEstudy was measured with Harvey-BradshawIndex(HBI),afivequestions,simplifiedversion oftheCrohn’s DiseaseActivityIndex[41].HBIindextotalscore rangesfrom0 to>16, withscores<5indicating remission, and scores>16indicatingseveredisease.InSOLEstudyHBIscoreat enrolmenthadtobe≥8(moderate-to-severedisease).
PrimaryobjectiveoftheSOLEstudywastoevaluatethe qual-ityof life (QoL)evolution during thestudyand itsrelationship withthepatients’workingcapabilityandproductivity.Secondary objectivesweretodeterminetherelationshipbetweenQoLand dis-easeactivity,patientsatisfactionandcompliancewithtreatment, toassessthestructuralandorganizationalvariablesoftheinvolved gastroenterologycentres,toestimatethecostofillnessofCDina 12monthsperiod,andtoassessitsrelationshipwithQoL. 2.3. TheMARS-5Ievaluation
HerewepresentsomeadditionalanalysesofSOLEstudyresults conductedtoevaluatetheMARS-5I.
SincetheSOLEstudywasanepidemiologicalstudy,conducted asperclinicalroutine,withnoobligationstoprovidethepatients withanyparticulartreatmentatanytimepoint,thewhole pop-ulation(552pts) consistedofpatientswithallcombinationsof treatmentsandstartdates.Inordertoeliminatethebiasdueto theeffectsofatreatmentchangeand/ortherelevanteffectiveness onthequestionnaire,weconductedtheseanalysesonasubgroup of277patients,whosediseaseactivity(measuredwithHBIindex) remained quitestable (HBI score ±4), selected among the 371 patientswhomaintainedthesametreatmentbetweentwo con-secutivevisits(visit2andvisit3,at3and6monthsfromstudy startrespectively).Thisisparticularlyimportantforthetest-retest reliabilitythatisameasureofhowmuchtheresultsobtainedwith ascaleareconsistentacrosstime.Itismeasuredbyadministering atesttwice,attwodifferenttimepoints,supposingthemeasured phenomenonhasnotchanged.MARS-5Iwassubjectedto statis-ticalanalysisinordertoevaluateinternalconsistency,test-retest reliability,andconvergentvalidity.
2.3.1. Internalconsistency
Whendifferentitemsareusedtoformascale,suchinthe MARS-5I,theyneedtohaveinternalconsistency.Inotherwords,they shouldbecorrelated withoneanother,allmeasuringthesame thing(adherence).TomeasuretheMARS-5Iinternalconsistency weusedtheCronbach’salphacoefficient,whichrangesfrom0(the itemsareindependent)to1(theitemsareperfectlycorrelated). Valuesof0.7-0.8aregenerallyregardedassatisfactory[42]. 2.3.2. Test-retestreliability
Test-retestreliabilityismeasuredbythecorrelationcoefficient betweentheresultscollectedattwodifferenttimepoints.
ForevaluatingtheMARS-5Itest-retestreliability,wecompared theresultsofSOLEstudyvisits2and3(3monthsintervalbetween the two visits, always on the subpopulation remaining onthe sametreatmentand witha modestHBIchange)and calculated thePearson’scorrelationcoefficient.Pearson’scoefficientvalues rangesfrom−1to1,with1indicatingaperfectcorrespondence betweenthetwotests,and0indicatingnocorrespondence.We usedathresholdof0.8toconsidertheMARS-5Ireliable.
The MARS-5I reproducibility was also evaluated using Bland–Altman plot [43]. This plot is used for comparing two differentmeasuresofthesamenature;itconsistsinadispersion diagramwiththedifferencebetweenthetwomeasuresonY-axis, andthereferencevalueobtainedcalculatingthearithmeticmean ofthetwovaluesonX-axis.Thehorizontallinesrepresentthemean ofdifferences,andthemeanofdifferences±2xSD.Bland–Altman plotconsistsoftheinvestigator’sopinion:ifthemeanvariationin theconfidenceinterval isnotrelevant,thetwo methodscanbe consideredinterchangeable.Itisnotbasedoncriticalvalues,but onexpertopinion.
2.3.3. Validity
InordertoevaluatetheMARS-5Iconvergentvaliditywe con-ductedtwodifferentanalyses.
In thefirst one we assumed that resultsobtainedwith this scale correlate withthose obtainedwith anotherscale used in SOLEstudy:theTreatmentSatisfactionQuestionnairefor Medica-tion(TSQM,providingaglobaltreatmentsatisfactionscore).We reliedonthehypothesisthatahighleveloftreatmentsatisfaction isdirectlycorrelatedwithahighleveloftreatmentadherence.The hypothesisiswidelyrecognisedandconfirmedbytrialsinmany therapeuticsettings[44–47].Forassessingthehypothesisthata correlationexistsbetweenMARSandTSQMwecalculated Spear-man’srhocorrelation.
InthesecondanalysisweusedSpearman’srhoforassessing thecorrelation betweenMARS-5I results and a physician
eval-Table1
Characteristicsofthestudysample.
MARSvalidation samplea(n=277) Totalpopulationb (n=552) N % N % Gender Male 130 46.93 271 49.09 Female 147 53.07 281 50.91 Ageclass 18–25 47 16.97 72 13.04 26–35 71 25.63 139 25.18 36–45 60 21.66 127 23.01 46–55 64 23.10 130 23.55 >55 35 12.64 84 15.22
Livingwithpartner
Yes 145 52.35 307 55.62
No 132 47.65 245 44.38
Education
Primaryschool 16 5.78 35 6.34
Juniorhighschool 66 23.83 146 26.45
Highschool 154 55.70 287 51.99 University 41 14.80 84 15.21 Employment Employed 158 57.04 300 54.35 Unemployed 119 42.96 252 45.66 Treatment
Notbiologicdrugs 95 34.30 263 51.27
Biologicdrugs 182 65.70 260 47.10
Comorbidities
Yes 184 66.43 352 63.77
Concomitantdiseases
Yes 118 42.60 239 43.30
aAtthefirstconsideredvisit(visit2). bAtthefinalanalysis.
uated medication adherence score. In fact, during SOLE study investigatorswererequiredtoevaluatetheirpatients’medication adherencewitha5pointscale,rangingfrom1to5(nevertoalways adherent).ForthisanalysisMARS-5Iscoreswerecategorizedin5 classes(“neveradherent:scores5-9”;“seldomadherent:10–14”; “sometimesadherent:15–19”;“oftenadherent:20–24”;“always adherent:25”).
2.3.4. InfluenceofpatientcharacteristicsonMARS-5Iscores Weanalysedallthefactorspotentiallyrelatedwithtreatment adherencewitha logisticregressionmodel.A binomialvariable basedonMARS-5Iscoreswascreated:
• MARSscore<25:lowertreatmentadherence • MARSscore=25:perfecttreatmentadherence
Weconsideredasindependentvariables:gender,age, educa-tion,maritalstatus,employmentstatus,treatment,comorbidities andconcomitantdiseases.Estimateswerecorrectedforthe“centre effect”,duetothepossiblecorrelationbetweensubjectsenrolled bythesamecentre.
3. Results
Amongthe277patientsevaluatedthemajoritywerewomen (53%),and about26%wasbetween26and35 yearsold.52%of patients lived with a partner, 56% had a highschool diploma, 57%wasemployed,66%wastreatedwithbiologicdrugs,66%had comorbidities,and43%concomitantdiseases(Table1).
Themeandiseaseactivityscore(HBI)at thefirst considered visit(visit2)was4.9(SD2.6;median5.0;range0–12;interquartile
Table2
DiseaseactivityandMARS-5Iscoreofthestudysampleatvisit2.
N Mean SD Minimum Maximum 25thPctl Median 75thPctl
HBIindex 277 4.90 2.61 0.00a 12.00 3.00 5.00 7.00
MARS-5I 277 23.73 2.41 5.00 25.00 23.00 25.00 25.0
Pctl:percentile.SD:StandardDeviation.HBI:Harvey–BradshawIndex.MARS:MedicationAdherenceReportScale.MARS-5I:ItalianversionoftheMARS.
a11patientswithdiseaseactivity=0atthefirstconsideredvisit(visit2).
Table3
Chronbach’salpharesultsforinternalconsistencyevaluation.
Cronbach’salphavalue(N=277) CompleteMARS-5I 0.86
ExcludingsingleitemsofMARS-5I
Item1 0.85
Item2 0.83
Item3 0.84
Item4 0.82
Item5 0.82
MARS:MedicationAdherenceReportScale.MARS-5I:ItalianversionoftheMARS.
range:3.0–7.0);themeanMARS-5Iscorewas23.7(SD2.4;median 25.0;range5–25;interquartilerange23–25)(Table2).
3.1. Internalconsistency
Internalconsistencywassatisfactory,withaCronbach’salphaof 0.86.Thisvalueisverygood,andfallswithintheGermanvalidation studyinterval(0.67-0.90)[38](Table3).Wealsoreportedalpha valuescalculatedafterexcludingsingleMARS-5Iitems.Items4(“I decidetomissouta dose”)and5(“Itakelessthaninstructed”) seemedtohavealittlehigherweight,i.e.whenexcluded,alpha valuewassmaller.
3.2. Test-retestreliability
Retestevaluationincluded275patientsandthecalculated Pear-son’scorrelationcoefficientwas0.50(p<0.001),quiteasuboptimal result.Fig.1AshowsagraphicalrepresentationofMARSresults pairsobtainedatvisits2and3foreachpatientinthesamplegroup. Themajorityofvalueswasequalto25,buttherewerealsooutlier values,witha reallyhighdifferencebetweenvisit2and 3,that couldbeduetoarealchangeinadherence.
BlandAltmanPlot(Fig.1B)showsthatabout95%ofdifferences fellwithin−5and 5;despitethemeanvaluewasclosetozero (whichindicateagoodreproducibility),variationremainedhigh (±5).Excludingvalueswhichfelloutsidethe±2SDinterval,the obtainedcorrelationcoefficientwas0.86(p<0.001).
3.3. Validity
Thefirstanalysisforvalidityevaluation,inwhichTSQM ques-tionnairewasusedascomparator(totalscoreandsubscores),is reportedinTable4.Thecorrelationvalues showedtheabsence ofrelationbetweenthetwoquestionnaires.Thesecondanalysis, inwhichweassessedthecorrelationbetweenthephysician eval-uatedmedicationadherencescoreandMARS-5Iscore,showeda weaklevelofcorrelation(rho=0.15,p=0.014),although statisti-callysignificant(Table4).
3.4. Incidenceofpatientscharacteristicsonreportedadherence Table5showsresultsofthelogisticmodelweusedtoevaluate thepatientscharacteristicsrelatedwithperfectadherence (“per-fectadherencepredictors”).Patientcharacteristicswhichshowed significantcorrelation withadherencewere increasingage (OR
Fig.1.A)ScatterplotofMARS-5Ivaluesatvisit2and3.Linerepresentsthefitted regressionbetweenMARSvalues.Circleshavediameterdimensionsproportional tothefrequencyofpairedvalues;B)BlandAltmanplotofMARSscoresdifferences andmeansfortest-retestreliabilityevaluation.Circles’diameterisproportionalto frequenciesofpatientspresentingthesamedifferencesandsamemeans. MARS:MedicationAdherenceReportScale.
Table4
CorrelationbetweenMARS-5IscoresandTSQMscoresorphysicianevaluated adher-encescoresforvalidityanalysis,calculatedwithSpearman’srho.
N Spearman’srho Pvalue TSQM
Generalsatisfaction 276 0.05 0.378 Adverseevents 277 0.03 0.650
Efficacy 276 0.03 0.586
Convenience 276 0.04 0.479
Adherenceevaluatedbyphysicians 277 0.15 0.014 MARS:MedicationAdherenceReportScale.MARS-5I:ItalianversionoftheMARS. TSQM:TreatmentSatisfactionQuestionnaireforMedication.
Table5
Patientcharacteristicspotentiallyrelatedtoperfecttreatmentadherence(MARS-5I=25).
Subgroupanalysis(n=277) SOLEtotalpopulation(n=466)
OR 95%IC pvalue OR 95%IC pvalue
Gender Male 1.00 1.00 Female 1.11 0.67 1.82 0.681 1.11 0.79 1.55 0.536 Classage 18–25 1.00 1.00 26–35 1.47 0.68 3.19 0.322 1.59 0.76 3.34 0.209 36–45 1.54 0.68 3.51 0.291 1.85 0.96 3.56 0.066 46–55 2.25 1.08 4.70 0.032 1.81 0.93 3.52 0.081 >55 3.38 1.59 7.16 0.002 2.65 1.34 5.23 0.006
Livingwithpartner
Yes 1.74 1.08 2.8 0.024 1.60 1.11 2.30 0.013
No 1.00 1.00
Education
Primaryschool 2.14 0.75 6.16 0.152 2.66 1.24 5.70 0.014
Juniorhighschool 1.16 0.67 2.04 0.572 0.87 0.52 1.45 0.575
Highschool 1.00 1.00 University 2.35 0.98 5.65 0.055 1.59 0.92 2.75 0.093 Employment Employed 1.00 1.00 Notemployed 1.12 0.66 1.88 0.669 0.35 0.62 1.47 0.815 Treatment
Notbiologicdrugs 1.00 1.00
Biologicdrugs 3.73 2.02 6.88 <0.001 3.42 2.23 5.27 <0.001 Specifictreatment
Notbiologicdrugs 1.00 1.00
Infliximab 2.24 1.32 7.95 0.012 2.89 1.52 5.49 0.002 Adalimumab 4.17 2.24 7.77 <0.001 3.85 2.34 3.66 <0.001 Comorbidities No 1.00 1.00 Yes 1.77 0.87 3.61 0.114 1.65 0.97 2.83 0.065 Concomitantdiseases No 1.00 1.00 Yes 1.30 0.76 2.23 0.325 1.26 0.63 1.73 0.156
ResultsofalogisticregressionmodelbasedonabinomialvariablederivedfromMARS-5Iscores:MARSscore<25,lowertreatmentadherence;MARSscore=25,perfect treatmentadherence.Independentvariables:gender,age,education,maritalstatus,employmentstatus,treatment,comorbiditiesandconcomitantdiseases.Estimateswere correctedforthe“centereffect”.MARS:MedicationAdherenceReportScale.MARS-5I:ItalianversionoftheMARS.
forpatients>55years old3.38,95%CI1.59–7.16p=.002),living withapartner(OR:1.74, 95%CI1.08-2.08, p=0.024),and treat-mentwithbiologicdrugsbothconsideringthewholedrugcategory (OR: 3.73, 95% CI 2.02–6.88, p<0.001), and the two different activeingredients[ORforinfliximabandadalimumab2.24(95%CI 1.32–7.95,p=0.012)and4.17(95%CI2.24–7.77,p<0.001) respec-tively].Thesefactorswerealsofoundtobesignificantpredictors forperfectadherenceinthetotalpopulation.
4. Discussion
InouranalysistheItalianversionofthewidelyusedMARSscale showedasatisfactoryinternalconsistency,andthelevelof test-retestreliability wasgood whenexcludingoutlier patients(out of±2SD).Asforvalidityevaluation,alowcorrelationwasshown betweenMARS-5Iandphysicianevaluatedmedicationadherence scores,probablyduetoadifferentperceptionofthepatient’s adher-encefromthephysicianpointofview,whilewefailedtoshowany correlationbetweenMARS-5IandTSQMresults.
It is important to recognise that our study was not origi-nallydesignedforevaluatingtheMARS-5Iscale.Consequentlyour analysespresentseveralimportantlimitationsandarenota com-prehensive evaluation of validity and test-retest reliability. For instance,theselectionofoursamplegroup(n=277),basedonlyon stabilityofdiseaseactivity,couldbebiased.Infact,comparedwith thetotalpopulationofSOLEstudy,inoursampletherewereseveral
discrepanciesinmedicationadherencerelatedcharacteristics.The sub-groupusedfortheMARS-5Ievaluationcomprisedmoremales, morepatientslivingwithoutapartner,withahighlevelof educa-tion,employed,onbiologicdrugs,thanthefullSOLEparticipants, althoughthestatisticalsignificance ofthesedifferences hasnot beenevaluated.Moreover,inthesubgroupanalysed,MARSscores didnotshowauniformdistribution,butweregenerallyabove20, indicatinggenerallyhighreportsofadherence.
Thestudydesign didnotafford a truetestof assessmentof test-retestreliabilityasthedurationbetweenassessmentswastoo long.Itisreasonabletoassumethat,forsomeparticipants,levels ofadherencemayhavechangedsignificantlyduringthisperiod.In thiscase,lowcorrelationbetweenMARSscoresat1vs3months couldbeareflectionofchangingadherenceratesratherthanlow test-retestreliability.Thefactthattest-reliabilityfigureswere sig-nificantlyhigherafterremovalofoutlierssupportsthisexplanation. BasedonthisdataweconsidertheMARS-5Itohaveadequate test-retestreliability.
IntheGermanandSwedishMARSlinguisticvalidation stud-ies,theintervalsbetweentestsforthetest-retestevaluationwere shorterthaninouranalysis,namely3-4weeksand≥7days respec-tively [38,39]. In the Portuguese study the interval was even shorter, consisting in only 2days [40]. Our interval was much longer,farfromtheidealtimespanof2–4weeks;thiscouldhave resultedinobjectivemajorchangesinpatientscharacteristics influ-encingadherence,suchasgeneralhealthstatusandanxietylevel.
Moreover, although the disease activity remained quite stable betweenthetwovisits(sincethiswasthemaincriteriaweused toselectthissubgroupofpatients),3monthsisalongenoughtime spanforthetypicalCDseasonalvariations[48]tobeobserved,with apossibleeffectonadherence.
The two validity analysis we conducted gave contradictory results.TheonebasedonMARS-5IcorrelationwithTSQMfailedto proveMARS-5Iconvergentvalidity.Onthecontrary,theonebased onMARS-5Icorrelationwiththephysicianevaluatedmedication adherencescoreshowedalowvalue,neverthelesswithstatistical significance.Theresultsofourfirstanalysiscouldbeduetothe factthatMARSandTSQMscalesassessverydifferentconstructs: thefirstoneassessesareportedbehaviour(reportedadherence), whilethesecondoneassessesaperception(perceptionof treat-mentsatisfaction).Thisdiscrepancyislikelytobethereasonof ourresults.Infact,usingtwoscalesmeasuringthesameconstruct (medicationadherence)suchasMARS-5Iandthephysician evalu-atedmedicationadherencescore,weobtainedafairbetterresult. OurSpearman’sRhovalue(0.15,p<0.014)wassimilartotheone obtainedintheGermanMARSevaluation[38](0.26,p<0.01),in whichaSatisfactionwithInformationaboutMedicineScale (SIMS-D)wasusedasacomparatorforMARS-5Iintheconvergentvalidity analysis.
Our exploratory data examining association between dichotomized MARS and other variables do not constitute a formal test of validity. Yet they are interesting, because they highlightindividual characteristicssignificantly associated with better reported adherence, allowing us to provide more tar-getedinterventionswiththeaimofsupportingadherenceinour patients.
In previously published studies parameters associated with greateradherencetomedical therapyinIBD patientswereage, follow-up bya gastroenterologist, and immunosuppressantuse [8,9].Lowerratesoftreatmentadherencewereassociatedwith employmentstatus, highscoresontheObstaclestoMedication UseScale,shortdiseaseduration, higheducationlevel, dissatis-factionwiththepatient–doctorrelationship,mooddisorders,and ageyoungerthan40[7–10,49].Moreover,patients’personalbeliefs abouttheIBDanditstreatmentareimportant,potentially modi-fiable,determinantsofbothadherenceandnonadherence[50,51]. AlargestudyofUKpatientswithIBDfoundthatnonadherence wasrelatedtoimplicitevaluationsofmaintenancetreatment,with nonadherencerelatedtodoubtsaboutpersonalneedfor mainte-nancetreatmentand concerns aboutpotential harmassociated withregularuseoverthelong-term[50].Thesefindingssuggest thatinterventionstoimproveadherenceshouldtakeaccountof theperceptions (e.g.medicationnecessitybeliefs andconcerns) aswellaspracticalities(e.g.capabilityandresources)influencing motivationsandabilitytoadheretotreatment[52].Interventions tosupportadherenceshouldthereforeensurethatdoubtsabout personalneedforthemedicationarenotbasedonmisconceptions aboutillnessandtreatment,andthatthepatientsconcernsabout treatmenthavebeenelicitedandaddressed[53].
Ouranalysissuggestsincreasingagemaybeassociatedwith improvedmedical adherence, and highlights for the first time thattreatmentwithbiologicdrugsissignificantlyassociatedwith higherreportedadherenceinCD.Thisisconsistentwithaprevious reportinpsoriasis,whereself-reportedadherencetobiologicswas foundtobesignificantlygreaterthanthatofotherdrugclasses[54]; thereasonsweresupposedtobeahighermotivationduetothe severityofthediseaseand/ortothetrainingpatientsaresupplied ontheuseofbiologics.Thisistruebothforthewholedrugclassand forthetwodifferentactiveingredientsconsideredinouranalysis (infliximabandadalimumab).InCD,adalimumabadherencehas beenreportedtobehigherthaninfliximabinasystematicreview [55].Theobserveddifferencesintheoddsofbeingfullyadherent
betweeninfliximabandadalimumabshowedinourstudycouldbe relatedmoretothetypeofadministrationthantothetypeofdrug itself.Infact,physiciansmightbemorepronetoadminister adali-mumabtoadherentpatientsandinfliximab,duetoitsintravenous administration,tolessadherentpatients[55].Adalimumab,onthe contrary,canbeadministeredsubcutaneouslybythepatient,after aninitialtraining.
Our analysisrepresentsthefirstattempt tovalidatean Ital-iantranslation ofMARSscaleusingdataofa wide,multicentre, observationalstudy.Wehaveconfirmedtheutilityofthistoolin medicationadherenceevaluationinpatientswithCD,andfor sim-plyfindingthoseathigherriskofreducedadherence,requiringan interventioninordertoimprovetheirtherapeuticoutcomes.
In ourstudy MARS-5I, theItalian translation of theoriginal EnglishMARSscale,showedasatisfactoryinternalconsistencyand alowbutstatisticallysignificantconvergentvaliditybasedonthe correlationwithaphysicianevaluatedmedicationadherencescore. ThelowlevelofMARS-5Itest-retestreliabilityemergedinthis analysisisprobablyduetothelongtimepassedbetweenthetwo questionnaireadministrations.Furtherstudies,withshorter inter-valsbetweentests,willbeneededtoclarifythispoint.
Acknowledgements
TheauthorswishtothankMartaMentarsiandGianniPaoletta (HavasLifeItaly)for helpin draftingthemanuscript and Laura Timelliforstatisticalanalysis.
Conflictofinterest
Nonedeclared.
Funding
AbbVieparticipatedinthedesign,studyconduct,andfinancial supportforthestudy,aswellasininterpretationofthedata,review, andapprovalofthemanuscript.
Ethicalapproval
TheSOLEstudyhasbeenapprovedbylocalEthicsCommittees accordingtoItalianregulations.
Informedconsent
Informedconsentwasobtainedfromallindividualparticipants includedinthestudy
Researchinvolvinghumanparticipants
All procedures performed in studies involving human par-ticipantswere in accordance withthe ethicalstandards of the institutionaland/ornationalresearchcommitteeandwiththe1964 Helsinkideclarationanditslateramendmentsorcomparable eth-icalstandards.”
Disclosureofpotentialconflictsofinterest
SaraDiFino,GiulianaGualberti,RoccoMerollaareemployees ofAbbVieandmayownAbbViestocks/options.MicheladiFonzo wasemployeesofAbbVie andmayown AbbViestocks/options. M.L.Scribanohasservedasaspeakerand/oradvisoryboard mem-berfor Abbvie, Biogen Idec,Janssen, Mundipharma, Pfizer,and Takeda.F.Caprioliservedasconsultantto:Mundipharma, Abb-vie,MSD,Takeda,Janssen,Roche,Celgene;hereceivedlecturefees fromAbbvie,Ferring,Takeda,AllergyTherapeutics,Janssen and
unrestrictedresearchgrantsfromGiuliani,Sofar,MS&D,Takeda, Abbvie.A.Michielanundertookspeakerengagementswith hon-orariawithAstra Zenecaand ViforPharma. E.Calabrese reports oralpresentations(lectures)forAbbvieandJansen.F.Castiglione reportslectures/meetingboardswithTakeda,AbbVie,MSD,Chiesi, Sofar.G.BodinireceivedlecturefeesfromAbbvie,MSD,Otsuka andTakeda.G.CostantinoreportsattendancetoAdvisoryBoards forAbbvie.Prof.RobHornewassupportedbytheNational Insti-tutefor HealthResearch (NIHR)Collaboration forLeadership in AppliedHealthResearchandCare(CLAHRC)NorthThamesatBart’s HealthNHSTrust.Theviewsexpressedarethoseoftheauthor(s) andnotnecessarilythoseoftheNHS,theNIHRortheDepartment ofHealth.ProfessorHornehasundertakenspeakerengagements withhonorariawiththefollowingcompanies:Abbvie,Amgen, Bio-genIdec,GileadSciences,GlaxoSmithKline,Janssen,Pfizer,Roche, ShirePharmaceuticals,MSD,Astellas,Astrazeneca,DRSU,Erasmus andNovartis.ProfessorRobHorneisfounderandshareholderof aUCL-businessspinoutcompany(SpoonfulofSugar)providing consultancyonmedication-relatedbehaviourstohealthcare pol-icymakers,providersandindustry.A.Orlandoreports:servedasan advisoryboardmemberforAbbVie,Janssen,MSD,Takeda Pharma-ceutical;receivedlecturegrantsfromAbbVie,ChiesiFarmaceutici, MSD,Sofar,TakedaPharmaceutical.Thefollowingauthorsdeclare noconflictsof interests: A.Contaldo,AC Privitera,RM Bozzi,AF Ciccaglione,G.DelleFave,S.Saettone,P.Usai,P.Vernia.
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