Original
Cost-effectiveness
of
a
primary
care-based
exercise
intervention
in
perimenopausal
women.
The
FLAMENCO
Project
Zuzana ˇSpacírová
a,∗,
David
Epstein
a,
Leticia
García-Mochón
b,
Virginia
A.
Aparicio
c,d,
Milkana
Borges-Cosic
e,
M.
Puerto
López
del
Amo
a,
José
J.
Martín-Martín
aaDepartmentofAppliedEconomics,FacultyofEconomics,UniversityofGranada,Granada,Spain bAndalusianSchoolofPublicHealth,Granada,Spain
cDepartmentofPhysiology,FacultyofPharmacy,FacultyofSportSciences,andInstituteofNutritionandFoodTechnology,UniversityofGranada,Granada,Spain dVUUniversityandEMGO+InstituteforHealthandCareResearch,Amsterdam,TheNetherlands
eDepartmentofPhysicalEducationandSport,FacultyofSportSciences,UniversityofGranada,Granada,Spain
a
r
t
i
c
l
e
i
n
f
o
Articlehistory:
Received15December2017 Accepted23May2018 Availableonline16October2018
Keywords:
Cost-benefitanalysis Quality-adjustedlifeyears Menopause
Exercise Women
a
b
s
t
r
a
c
t
Objective: Adequatephysical activity levels anda healthylifestyle may preventall kindsof non-communicable diseases, promote well-being and reduce health-care costs among perimenopausal women.Thisstudyassessedanexerciseprogrammeforperimenopausalwomen.
Method:Atotalof150women(aged45-64years)notengagedinregularphysicalactivitywererandomly assignedtoeithera16weekexerciseinterventionortothecontrolgroup.Thestudywasconductedfrom theperspectiveoftheNationalHealthSystem.Healthoutcomeswerequality-adjustedlifeyears(QALYs), measuredbytheEuroQol-5D-5Lquestionnaire.Thetotaldirectcostsoftheprogrammewerethecostsof visitstoprimarycare,specialtycare,emergency,medicines,instructorcostandinfrastructurecost.The resultswereexpressedastheincrementalcost-effectivenessratio.Sensitivityanalysiswasundertaken totesttherobustnessoftheanalysis.
Results: MeanQALYsover16weekswere.228inthecontrolgroupand.230intheinterventiongroup (meandifference:.002;95%confidenceinterval[95%CI]:−0.005to0.009).Improvementsfrombaseline weregreaterintheinterventiongroupinalldimensionsoftheEuroQol-5D-5Lbutnotstatistically sig-nificant.Thetotalcostsattheendoftheinterventionwere160.38Dinthecontrolgroupand167.80D
intheinterventiongroup(meandifference:7.42D;95%CI:−47to62).Theexerciseprogrammehadan incrementalcost-effectivenessratioof4,686D/QALY.
Conclusions:Theprogrammecouldbeconsideredcost-effective,althoughtheoveralldifferenceinhealth benefitsandcostswasverymodest.Longertermfollow-upisneeded.
©2018SESPAS.PublishedbyElsevierEspa˜na,S.L.U.ThisisanopenaccessarticleundertheCC BY-NC-NDlicense(http://creativecommons.org/licenses/by-nc-nd/4.0/).
Análisis
de
coste-efectividad
de
un
programa
de
ejercicio
físico
en
mujeres
perimenopáusicas.
Proyecto
FLAMENCO
Palabrasclave:
Análisisdecoste-utilidad A˜nosdevidaajustadosporcalidad Menopausia
Ejercicio Mujeres
r
e
s
u
m
e
n
Objetivo:Elejerciciofísicopuedepromoverelbienestaryreducirloscostesdeatenciónmédicaenlas mujeresperimenopáusicas.Esteestudioevalúaunprogramadeejerciciofísicoenmujeres perimenopáu-sicas.
Método:Untotalde150mujeres(deedadescomprendidasentre45y64a˜nos)fueronasignadas aleatoria-mentealgrupodeintervenciónoalgrupodecontrol.Elestudiohatenidounaduraciónde16semanas.Los resultadosensaludsehanmedidoena˜nosdevidaajustadosporcalidad(AVAC)medianteelcuestionario EuroQol-5D-5L.Sehaconsideradoeltotaldecostesdirectosdelprograma,integradoporloscostesde lasvisitasenatenciónprimaria,atenciónespecializadayurgencias,medicamentos,costedelmonitory costedelasinstalaciones.Losresultadossehanexpresadocomoratiocoste-efectividadincremental.La robustezdelmodelosehacontrastadoconunanálisisdesensibilidad.
Resultados:Alfinaldelaintervención,losAVACfueron0,228enelgrupodecontroly0,230enelgrupo deintervención(diferenciamedia:0,002;intervalodeconfianzadel95%[IC95%]:−0,005a0,009).La mejoríafuemayorenelgrupodeintervenciónentodaslasdimensionesdelEuroQol-5D-5L,perosin significaciónestadística.Loscostestotalesalfinalizarlaintervenciónhansidode160,38D enelgrupo decontroly167,80Deneldeintervención(diferenciamedia:7,42D;IC95%:−47a62).Elprogramade ejerciciofísicohatenidounaratiocoste-efectividadincrementalde4686D/AVAC.
∗ Correspondingauthor.
E-mailaddress:[email protected](Z. ˇSpacírová).
https://doi.org/10.1016/j.gaceta.2018.05.012
0213-9111/©2018SESPAS.PublishedbyElsevierEspa˜na,S.L.U.ThisisanopenaccessarticleundertheCCBY-NC-NDlicense( http://creativecommons.org/licenses/by-nc-nd/4.0/).
Z. ˇSpacírováetal./GacSanit.2019;33(6):529–535
Conclusión:Elprogramadebeconsiderarsecoste-efectivo,aunqueladiferenciaenresultadosdesaludy costeshasidomuymoderada.Senecesitaunseguimientoamáslargoplazo.
©2018SESPAS.PublicadoporElsevierEspa˜na,S.L.U.Esteesunart´ıculoOpenAccessbajolalicenciaCC BY-NC-ND(http://creativecommons.org/licenses/by-nc-nd/4.0/).
Introduction
MenopauseisdefinedbytheWorldHealthOrganizationasthe lastdayofmenstruationwhichisduetothelossofovarianfollicular activity.Itoccursonaveragearoundtheageof51.1Perimenopause is an imprecise period that begins with thefirst alterations of theovariancycleandendsoneyearafterthelastmenstruation.1 Symptomsassociated withperimenopausecanbe quitevaried: vasomotorsymptomssuchashotflushes,2 bonelosswhichcan leadtoosteoporosis,3bodilychangessuchasincreasedwaist cir-cumference,increasedadiposetissue,decreasedmuscletissue4or evenincreasedriskofheartdisease.5,6Manyofthesechanges expe-riencedduringperimenopausecanbemademorebearableoreven preventedbyhealthylifestylehabits.7,8
Numerousstudiesdemonstratethepositiveimpactofphysical activityorexerciseondiminishingriskfactorsassociatedwith car-diovasculardisease,9,10 promotingweightloss11andpreventing bonelossorosteoporosis.12Inaddition,womensuffering symp-tomsofmenopausetendtousemoremedicationandotherhealth care.13,14 Although the health benefits of physical activity are stronglyestablished,theprevalenceofphysicalactivityinmidlife womenusetobeinadequate,andevidenceremainsinconclusive ontheroleofphysicalactivityonmenopausalsymptoms.15,16Our hypothesisisthataphysicalexerciseprogramwillimprovequality oflife atanacceptable cost.Eventhough menopauseis a phe-nomenonthatultimatelyconcernsallwomen,onlythreeprevious studieshaveexaminedthecost-effectivenessofaphysicalexercise programinwomenaroundtheageofmenopause.17–19Allstudies concludedthatthephysicalexerciseprogramfortargetedwomen wascost-effective.
TherandomizedcontroltrialFitnessLeagueAgainstMENopause COst (FLAMENCO)20 investigated symptoms, health related quality of life (HRQoL) and costs of a physical exercise program (Trial Number NCT02358109, https://clinicaltrials.gov/ ct2/show/NCT02358109,dateofregistration:September23,2014). Theobjectiveofthisarticleistostudythecost-effectivenessofthe physicalexerciseprogramforperimenopausalwomen,measured intermsofcostperquality-adjustedlifeyears(QALYs),whichwas theprimaryoutcomeofthestudy.
Methods
Thestudywasdesignedasarandomizedcontrolledtrialand wascarried outover a period of 16 weeks fromthebeggining ofMarchtotheendofJune 2015ata primarycarecenter.The studypopulationwerewomenfromGranada(Spain)whowere notengagedinregular physicalexercise,butotherwise healthy andabletoexercise,agedbetweenabout45to60years coincid-ingwiththeperimenopausalperiod.Theywererandomlyassigned toeither anexerciseintervention group (N=74) or tocontrol group(N=76).Bothgroups receivedfourconferences inwhich generaladvice aboutthe positive effects of a physical exercise programandoftheMediterraneandietweregiven.Theexercise interventionwasperformedinfourgroups.Thegroupstrained3 days/week(60minutes/session)fora16-weekperiodatthe pri-marycarecentre. Eachexerciseincludeda10-minutewarm-up periodwithwalksandmobilityexercises,followedby40-minute ofamainpartwhich variedacrossweekdays.Sessionsfinished
witha10-minutecool-downperiodofstretchingandrelaxation exercises.Theweeklyprogramofexercisesconsistedofresistance strengthonMonday,balanceorientedactivitiesonWednesdayand combinationofaerobic,resistancestrengthandcoordination exer-cisesonFriday.Outcomeassessorsanddataanalystswereblinded totheallocation.FulldetailsoftheFlamencoprojectdesignand methodologyaredescribedelsewhere.20
ThestudyfollowedtheConsolidatedHealthEconomic Evalu-ationReportingStandards(CHEERS)21andrecommendationsfor economicevaluationappliedtohealthtechnologiesinSpain.22The studywasapprovedbytheEthicsCommitteeforResearchInvolving HumanSubjectsattheUniversityofGranadaandwasconducted fromtheperspectiveoftheNationalHealthSystem.The partici-pantsprovidedwritteninformedconsenttoparticipate.Aliterature reviewwasconductedtoidentifyothereconomicevaluationsin thisarea(seeAdditionalmaterialonlineforsearchterms).
Healthcareresourceuse(visitstoprimarycare,specialitycare andemergencyrooms)andpharmaceuticalconsumptionofeach patientbeforeandduringthestudywasobtainedthroughmedical historyfromDirayasystem23usedbythePublicHealthSystemof Andalusia.
Costs werecalculated at 2015prices. The salary cost ofthe instructor in charge of carrying out the exercise program was 8.74D/hour.24Assuming12hours/weekofinstructor‘swork(four groups, 3hours/week/group)and 16 weeks of intervention,the personnelcostoftheexerciseprogram/womanwas(8.74D/h×
12h/week×16weeks)/74women=22.68D/woman.Pricesper
visitinprimarycare,specialitycareandemergencyserviceswere estimatedfromstandardhealthservicecostsof200525andupdated forinflationto2015prices.26Theconsumptioncostofprescribed pharmaceuticals wascalculatedbased ontheprices, prescribed doseandscheduleofadministrationinDiraya.
Intheclinicalstudy,theexerciseprogramfacilitieswere pro-vided by the health service at nofinancial cost. In practice in othersettingstheremaybeafinancialcostoranopportunitycost (anotheractivitythatisdisplacedbytheexerciseprogram).We assumedthecostofhiringasuitablefacilityinGranadaforcarrying outtheexerciseprogramwouldbe500D/monthbasedonmarket pricesin2015inGranada,andthecostofutilities(cleaning, light-ing,power,etc.)wouldbe165D/month.27Assumingamaximum utilizationof55hours/week(238hours/month),andagroupsize of18women,theinfrastructurecostperwomanperhouris0.16
D,calculatedas(500+165)/(238×18).
TheHRQoLwasmeasuredbytheSpanishversionof EuroQol-5D-5L(EQ-5D-5L).Thequestionnairewascompletedatthebeginning, atthemiddleandattheendofthestudy.Utilitywasestimated usingthe publishedtariff.28 QALYswerecalculated asthe area underthecurve.Arandomeffectsorderedlogisticmodel(xtlogit commandin Stata)wasusedtomeasurethedifferencein each dimensionofEQ-5D-5Lbetweengroups.
Missingdatacanleadtobiasedestimatesandreduced preci-sion.Biasmaybeespeciallylikelywhenthereisabigdifference inmissingdatabetweengroups.Becauseresourceusedatawere collectedfromprimarycarerecords,therewerenomissingcost data.However,thereweremissingEQ-5D-5Ldataatbaseline,8 weeksand16weeks.Baselinedatawereimputedwiththemeanof thegroup.29MissingintermediateandfinalEQ-5D-5Lindexscores wereimputedusingmultipleimputationwithchainedequations.
Z. ˇSpacírováetal./GacSanit.2019;33(6):529–535
Themultipleimputationmissingdatamodelincludedaspredictive variablesEQ-5D-5Lindicesatbaselineandfollow-up,costsandage. First,themissingdatawereimputedunderthemissingatrandom (MAR)assumption.Thiswasthemainanalysis(base-case).Second, completecaseanalysiswasperformedwhichwouldcorrespondto ascenariowherewomenwhocompletedallfollow-upcanbe con-sideredfullyrepresentativeofallthewomenwhoinitiallyagreed toparticipate.Thisassumesdataaremissingcompletelyatrandom (MCAR).Thethirdscenarioconsideredwhatmightoccurifdata weremissingnotatrandom(MNARorinformativemissingness). Inthispaper,asimplepatternmixturemodelwasimplemented, followingtheapproachrecommendedinFariaetal.29Forexample, theMNARmodelallowsforthepossibilitythattheprobabilityof attendingfollow-upwasrelated(eitherpositivelyornegatively)to thehealthofthewomenatthattime.TheimputedEQ-5D-5Lof thewomenwhodidnotreturnaquestionnaireat4monthswere modifiedin 1%variationsabove(below)thevaluepredictedby MAR.Thiscorrespondedtoascenariowherewomenthatfailto attendtheexerciseprogramweremore(less)healthythan aver-age.TheaimwastosearchforthethresholdincrementinEQ-5D-5L abovethevaluepredictedbyMARwhichchangedthedecisionat thecommonly-usedwillingness-to-pay(22,000D/QALY).30
Incremental cost and QALYswere calculated using bivariate regression (sureg command in Stata). QALYswere adjusted for baselineEQ-5D-5L31toaccountfordifferencesbetweengroupsat baseline.Coefficientswerecombinedacrossthemultipleimputed datasetusingRubin’srules.29 Theprobabilitythatthe interven-tion wascost-effective was calculated assumingthe datawere bivariatenormaldistributed.32Theanalyseswereperformedusing STATA14.
To assess the robustness of the results additional sensitiv-ity analysiswas performed,alongsidethe missing datamodels described above. The firstmodel, the main analysis,uses mul-tiple imputation assuming missing data are MAR and includes
infrastructurecosts.Inthesecondmodelweremovedthe infras-tructurecost.Inthethirdmodel(completecase)weremovedall thewomenwhodidnotreturnaHRQoLquestionnaire(assuming missing dataareMCAR). The fourthmodelexcludes the infras-tructurecostsandalsoallthosewomenwhodidnotreturnthe questionnaire.Fifth,theassumptionthatmissingdataareMNAR wasusedtofindthethresholdofimprovementinnon-attending women‘shealththatmakesthemodelnotcost-effective.
Results
Ofthe150womenwhoparticipatedinthestudy,76(51%)were inthecontrolgroupand74(49%)wereintheinterventiongroup. Nosignificantdifferencesinbaselinevariableswerefoundbetween groups(Table1).Figure1showstheConsortflowdiagram.
Theaveragetotal costperwomanwasslightlyhigherin the interventiongroupthaninthecontrolgroupbutthedifferencewas notsignificant(167.80D and160.38D,respectively;difference: 7.42;p=0.8,95%confidenceinterval[95%CI]:−47to62)(Table2).
Theinterventioncostperpersonwas30.36D (22.68D instructor and7.68D infrastructure),representing18%oftotalcostsinthe interventiongroup,butthiswaspartlycompensatedforbylessuse ofhealthcareservices.Excludingtheinterventioncost,totaldirect costswere16.7%lowerintheinterventiongroupthaninthecontrol group(137.45Dand160.38D,respectively;difference:−22.94;p=
0.38;95%CI:−75to29).However,differenceswerenotstatistically
significant(Table2).
SupplementaryTableIonlinecontainstheresponsestothe var-iousitemsofEQ-5D-5Lforeachgroup.Theunadjustedutilitywas higherintheinterventiongroupthaninthecontrolgroupatthe endofthestudy(SupplementaryTableIIonline).However,there weresmalldifferencesinEQ-5D-5Lscorebetweengroupsbaseline. Althoughthesewerenotstatisticallysignificant,thesedifferences can affect the results of a cost-effectiveness analysis because
Table1
Baselinecharacteristicsofinterventionandcontrolgroups.
Interventiongroup (N=74)
Controlgroup (N=76)
p
Age,years(mean,SE) 54.0(0.52) 53.22(0.88) 0.45a
Education 0.99c
Noeducation(frequency,%) 2(2.74) 2(2.63) Primary(frequency,%) 18(24.66) 21(27.63) Secondary(frequency,%) 16(21.92) 15(19.74) Professionalexperience(frequency,%) 12(16.44) 14(18.42) Bachelor(frequency,%) 15(20.55) 13(17.11) Master(frequency,%) 10(13.70) 11(14.47)
Regularoroccasionalsmoker 0.16c
Dailysmoker(frequency,%) 12(16.67) 16(21.62) Occasionalsmoker(frequency,%) 7(9.72) 2(2.7) Formersmoker(frequency,%) 38(52.78) 33(44.59) Neverhavesmoked(frequency,%) 15(20.83) 23(31.08)
Civilstatus 0.33c
Married(frequency,%) 50(68.49) 56(73.68) Single(frequency,%) 10(13.70) 7(9.21) Separated(frequency,%) 7(9.59) 3(3.95) Divorced(frequency,%) 4(5.48) 9(11.84) Widow(frequency,%) 2(2.74) 1(1.32)
Employment(frequency,%) 36(49.32) 44(59.46) 0.19c
Children(mean,SE) 1.95(0.12) 1.99(0.11) 0.80a
Useofhealth-careservicesintheprevious8weeks(mean,SE)
Visitstoaprimarycare 0.93(0.13) 0.70(0.12) 0.17a
Visitstoaspecialist 0.25(0.07) 0.19(0.05) 0.50a
Visitstoanemergency 0.07(0.03) 0.04(0.02) 0.54a
Medicationcostinprevious8weeks(median,IQR)(D) 8.70(22.86) 7.58(21.73) 0.92b
EQ-5D-5Lindexscore(between0and1)(mean,SE) 0.839(0.02) 0.854(0.01) 0.53b
EQ-5D-5L:EuroQol-5D-5L;IQR:interquartilerange;SE:standarderror.
at-test. bU-test.
Z. ˇSpacírováetal./GacSanit.2019;33(6):529–535
fj Assessed for
elegibility (n=214)
Randomized (n=150)
Excluded (n=6) -Did not meet inclusion criteria (n=39)
-Declined participation (n=14) -Other reasons (n=5)
Intervention group (n=74)
Usual care group (n=76)
Lost follow-up (did not return
EQ-5D questionnaire) (n=20) Lost follow-up
(did not return EQ-5D questionnaire)
(n=9)
Completed the program (n=56) Analyzed (n=76) Completed the
program (n=65) Analyzed (n=74)
Enrol
lm
ent
Al
loc
ati
on
Ana
ly
sis
Fo
llo
w-up
(a
t
16
w
ee
ks)
Figure1.Flowchartofpatientrecruitment.
Table2
Costsofinterventiongroupandcontrolgroup. Unit
cost (D)
Resourceuse Meancost/person Totalcosts/person 8-0
weeks 0-8 weeks
8-16 weeks
8-0 weeks
Diff.mean costper person(D)
0-8 weeks
Diff.mean costper person(D)
8-16 weeks
Diff.mean costper person(D)
0-16 weeks
Diff.mean costper person(D)
C I C I C I C I C I C I C I
Primarycare(visits) (numberof patients>0)
21.62 71 52 60 59 51 39 20.20 15.19 −5.01 17.07 17.24 0.17 14.51 11.39 −3.11 31.58 28.63 −2.94
44 34 35 30 33 27
Specialist(visits) (numberof patients>0)
62.74 19 14 33 22 33 24 15.69 11.87 −3.82 27.24 18.65 −8.59 27.24 20.35 −6.89 54.48 39.00 −15.48
13 12 22 15 25 17
Emergencyrooms (visits)(number ofpatients>0)
59.58 5 3 7 7 14 6 3.92 2.42 −1.50 5.49 5.64 0.15 10.98 4.83 −6.14 16.47 10.47 −6.00
4 3 7 6 12 5
Medicine 18.59 27.50 8.90 26.52 29.02 2.49 31.34 30.33 −1.01 57.86 59.35 1.49
Totalcosts 58.40 56.98 −1.42 76.32 70.55 −5.77 84.07 66.90 −17.17 160.38 137.45 −22.94e Costsofthe
intervention
Instructor 8.74 0 0 0 96h 0 96h 0.00 0.00 0.00 11.34 0.00 11.34 0.00 22.68 Infrastructure 0.16 0 0 0 24h 0 24h 0.00 0.00 0.00 3.84 0.00 3.84 0.00 7.68
Totalcosts 58.40 56.98 -1.42a 76.32 85.73 9.41b 84.07 82.08 -1.99c 160.38 167.80 7.42d
C:controlgroup(N=76);Diff.:difference;I:interventiongroup(N=74).
Theremaybedifferencesindirectcostsandintotalcostsasaresultofroundingout.
Numberofpatients>0referstopatientsattendingprimarycare,specialitycareoremergencyrooms. 8-0weeksreferstoeightweeksbeforethestartofthestudy.
Allp-valueswerecalculatedbybootstrapmethod.
ap=0.90. b p=0.57. c p=0.90. d p=0.80. ep=0.38.
baselineEQ-5D-5LisanelementofthecalculationofQALYs.Once adjustedforthedifferencethatexistedbetweenthetwogroupsat baseline,31andimputingformissingdata,thedifferenceinQALYs was0.002(p =0.66;95%CI: −0.005to0.009). The incremental
cost-effectivenessratio(ICER)was4,686D/QALY(Table3).
ThesensitivityanalysisareshowninTable3.Inmodel2,thetotal meancostsintheinterventiongroupwereloweranddeliveredan improvementinhealth,sothatthephysicalexerciseprogramissaid to“dominate”usualcare.Theresultsofthefirsttwomodelswere different,duetothesmalldifferenceinQALYsbetweenthetwo
Z. ˇSpacírováetal./GacSanit.2019;33(6):529–535
Table3
Sensitivityanalysis.
Model Costs Difference QALYs Difference ICERa
Intervention Control Intervention Control
1.Multipleimputationmodel(base-case) 167.80 160.38 7.42 0.2295 0.2279 0.0016e 4,686
2.Multipleimputationwithoutinfrastructurecostsb 160.12 160.38 -0.26 0.2295 0.2279 0.0016 Interventiondominates
3.Completecaseanalysisc 153.15 168.53 -15.37 0.2304 0.2272 0.0032 Interventiondominates
4.Completecaseanalysiswithoutinfrastructurecosts 145.47 168.53 -23.05 0.2304 0.2272 0.0032 Interventiondominates 5.IncreasedQALYsofallindividualswithimputed
utilitiesby2%d
167.80 160.38 7.42 0.2300 0.2293 0.0007e 10,748
ICER:incrementalcost-effectivenessratio;QALYs:qualityadjustedlifeyears.
aICERistheresultofdividingthedifferencebetweencostsandQALYs,bothwithoutroundingout.Inmodel1thatis7.416473/0.0015827,andinmodel5thatis
7.416473/0.00069.
bInfrastucturecostsreferstothecostofhiringasuitablefacilityandtothecostofutilitiesascleaning,power,etc. c AnalysisofonlythosewomenwhoreturnedEuroQol-5D-5Lquestionnaire.
d Thisanalysiswasusedtofindthethresholdofimprovementinnon-attendingwomen’shealththatmakesthemodelnotcost-effective. ep>0.05correspondstoordinarylinearsquareregressionmodel.
Table4
Associationofquality-adjustedlifeyearsandincremental-costeffectivenessratiowithnon-attendingwomen’shealth. Non-attendingwomen’shealthat
16weeksoffollow-up
96% 97% 98% 99% 100% 101% 102% 103% 104%
Differenceincost(mean,SD) 7.42(27.71) 7.42(27.71) 7.42(27.71) 7.42(27.71) 7.42(27.71) 7.42(27.71) 7.42(27.71) 7.42(27.71) 7.42(27.71) DifferenceinQALYs(mean,SD) 0.0034 0.0029 0.0025 0.0020 0.0016 0.0011 0.0007 0.0002 −0.0002a
(0.0036) (0.0036) (0.0036) (0.0035) (0.0035) (0.0036) (0.0036) (0.0036) (0.0037) ICER(D/QALY) 2,202 2,538 2,996 3,655 4,686 6,526 10,748 30,438 −36,590
ICER:incrementalcost-effectivenessratio;QALYs:quality-adjustedlifeyears;SD:standarddeviation. AlldifferencesinQALYsareroundedout.
aDominated.QALYsintheinterventiongrouparelowerthanQALYsinthecontrolgroup.
groups.Thismeansthatasmallchangeincostshadalargeimpact ontheICER.Inmodels3and4theresultwassimilartomodel2,i.e. theinterventionwasdominant(Table3).Model5assumesa sce-nariowherewomenmightnotattendfollow-upforreasonsrelated totheirhealthonthatday,thatis,missingdatawereMNAR.Itwas foundthattheexerciseprogramstartstobenotcost-effectiveif theimputedEQ-5D-5Lofthewomenwhodidnotreturna ques-tionnaireat4monthswas3%greaterthanthevaluepredictedby MAR,thatis,ifitisassumedthatwomenwhodidnotattendwere 3%morehealthythanwouldbeexpectedbytheirage,useofhealth servicesandothercharacteristics.Table4showstheresultsofthe MNARanalysis.
The probability that the intervention was cost-effective in differentscenariosandatdifferentlevelsofwillingnesstopayis showninFigure2.Theprobabilityofbeingcost-effectivewhen thethresholdis25,000D/QALYwas63%inmodel1,66%inmodel 2,81%inmodel3,83%inmodel4and54%inmodel5.
Discussion
Thebasecase forthisstudyfoundthatthecostperQALYof aphysicalexerciseprogramwas4,686D/QALY.ThemeanQALYs over 16 weeks were0.230 vs. 0.228(p =0.66) and costswere 167.80D vs.160.38D (p=0.8)in theintervention andcontrol group,respectively.ThereisnoofficialcostperQALYthresholdin Spainbutsomeauthorshaverecommendedthatinterventionswith anICER22,000-25,000D/QALYshouldbeaccepted.30
Theintervention cost perperson was30.36D, but this was partlycompensatedfor bylessuseof otherhealthcareservices in the intervention group, especially in specialist visits. This supportsresultsfromotherstudiesthatphysicallyactivepeople tendtouseless health-careservices.33 Unexpectedly,specialist visits increased from baseline in both groups, but considering thewaiting list,theappointmentscouldhavebeenagreedeven beforethebeginning ofthestudy. Thatis,we cannot conclude that women’s health worsened and for that reason they went moreoftentothespecialist.Alsounexpectedly,useofmedication
increasedincontrolgroupfrombaseline.Healthcarecanbevery variable,soitisdifficulttodrawinferences.
Otherstudieshaveshownphysicalactivityimprovesqualityof life.34,35Thetrialprotocolconsideredforthepowercalculationthat theclinicallymeaningfulchangeinEQ-5D-5Lindexover16weeks shouldbe0.07units.20TheactualchangeinEQ-5D-5Linthe inter-ventiongroupbetweenbaselineand 16weekswas0.039units, whichisstillsubstantial,buttherewasalsoasimilarimprovement inthecontrolgroup.Theseimprovementsinhealthinthecontrol groupmaybebecausethecontrolgroupreceivedmorethanusual care,asbothgroupsunderwentfitnesstestingatbaselineand fol-lowup,andreceivedrecommendationsonexerciseanditsbenefits forthelongevity,preventionandtreatmentofdiseases,aswellas thebenefitsoftheMediterraneandiet.Thesecostswerenottaken intoaccountforthecalculationoftotalcosts,becausetheywere identicalinbothgroups.
Thecurrentstudyisoneofthefewcostutilityanalysesofan exerciseinterventionprogramwithperimenopausalwomen.What makesourstudyuniqueisthattheexerciseprogramwas espe-ciallydesignedforperimenopausalwomen.Oneofthelimitations ofthisstudywasthat20%ofwomendidnotcomplete question-nairesattheendofthestudy.However,thisrateofwithdrawal wasallowedforinthesamplesizecalculation.20Resourceuseand costswereavailableforallparticipantsfromadministrativedata. Furthermore,wehavetakenaccountofmissingqualityoflifedata intheanalysesusingapublishedmethodology.29Resultsare gen-erallyrobusttoassumptionsaboutmissingdata.Theincremental cost-effectivenessratiowaslessthan22,000D/QALYinall scenar-iostestedinsensitivityanalysis.Infrastructurecostsareuncertain, butarenotlikelytoinfluencetheoverallresult.However,the deci-sionisverysensitivetoassumptionsaboutthetruevaluesofthe missingdata.Itappearsnottobecost-effectiveunderthescenario thatwomenwhodidnotattendfollow-upwere3%morehealthy thanwouldbeexpectedgiventheirageandothercharacteristics. Thisresultoccursbecausemorewomenfailedtoattend follow-upinthecontrolgroupthantheexercisegroup.Weshouldalso considerthatthesewomenmightnotbefullyrepresentativeof
Z. ˇSpacírováetal./GacSanit.2019;33(6):529–535
0 10 20 30 40 50 60 70 80 90
0 2.500 5.000 7.500 10.000 12.500 15.000 17.500 20.000 22.500 25.000
Threshold for cost-effectiveness (€/QALY)
Model 1. Multiple Imputation Model. Missing at random (basecase)
Model 2. Multiple Imputation Model without Infrastructure costs
Model 3. Complete case analysis (missing completely at random)
Model 4. Complete case analysis without Infrastructure costs
Model 5. Increased QALYs of all individuals with imputed utilities by 2%
Figure2. Probabilitythattheinterventioniscost-effectivefordifferentscenarios.
theperimenopausalpopulation,sincewomenwhopracticed phys-icalactivityregularlywereexcludedfromthestudy.Althoughthe exerciseprogrammightbeconsideredcost-effectiveonaverage, thedifferenceinimprovementinhealthbetweeninterventionand controlgroupisverysmallandstatisticallynotsignificant.
Threeotherstudieshaveinvestigatedthecost-effectivenessof anexerciseprograminperimenopausalwomen.Koluetal.17 evalu-atedaprograminFinlandwhere151womenaged40-63yearswere dividedintoacontrolgroupandinterventiongroup.The interven-tiongroupunderwenta6-monthexerciseprogram4times/week for50minutes.Themeandifferenceincostswas53D.However, thestudydidnotreportthedifferenceinQALYsover6months. Instead,theyreportedacrudeprojection,assumingthatthe differ-enceinHRQoLattheendofthestudywouldbemaintainedforthe restofthepatient’sexpectedlife.Usingthisprojection,thereported meandifferenceinQALYsoverthepatient’slifetimewas1.16,with anICERof46D/QALY.However,thisextrapolationseemshighly optimisticandisthereforelikelytobebiased.Thefailuretoreport actualoutcomesat6monthsmeanswecannotcomparethisresult withourstudy.
AnotherstudyconductedinCáceres,Spain,assessedthe cost-effectivenessofanexerciseprogramwhere106womenaged60 yearsandolderparticipated.18Theinterventiongroupunderwent a6-monthwalking-basedsupervisedexerciseprogramwiththree 50-minutesessions/week.Thecontrolgroupreceiveda recommen-dationofphysicalactivity.Thedifferencein costwas41D (no p-valuegiven)andthedifferenceinQALYsatsixmonthswas0.132 (95%CI:0.104to0.286)thereforetheICERwas311D/QALYgained. Thisisamuchgreaterhealthbenefitthanfoundinourstudy. How-ever,thestudypopulationisolderandmoreunfitthanourstudy andsoresultsmaynotbegeneralizable.
Goranitisetal.19evaluatedthecost-utilityofanindividualand asocial versionofanexerciseinterventionrelative toa control groupinWestMidlands,UnitedKingdom,with261womenaged between48and57years.Bothinterventiongroupsfolloweda 6-monthcourseofmoderateintensityaerobicexercisefor30minutes
onatleast3days/week.ThedifferencefoundinQALYat12months of0.013(95%CI:−0.010to0.036)inexercisesupportversuscontrol, andaverysmalldifferenceincost
£
18(95%CI:−68to105)mightbeconsidereda slightlygreaterhealth benefitthanobservedin ourstudy,thoughstillnotstatisticallyinsignificant.Nobenefitwas seenintheindividualinterventiongroup(withoutsocialsupport). Accordingtoourfindings,theprogramiscost-effectiveon aver-age.However,thedifferenceinhealthbenefitoftheintervention groupcomparedtothecontrolgroupatfourmonthsissmalland statisticallyinsignificant.Furtherstudiesinthis areamight con-siderwhetheralongerexerciseprogram,oraprogramtargeted atspecificriskgroups,oraprogramthatreinforcessocialbonds withinthegroup,mighthavemoreimpact.Theoptionofusing anotherquestionnaire tomeasureQALYsshouldbeconsidered. Longertermfollowupisalsorequired.
Whatisknownaboutthetopic?
Inperimenopausalwomen,theirregularmenstrualperiods canbeaccompaniedbyhotflashes,vaginaldryness,trouble sleeping,bodilychanges,bonelossorevenbyahigherriskof heartdisease.Despitethepositiveimpactofphysicalactivity inhealth andqualityof life,thenumber ofperimenopausal womenexercisingregularlyisinadequate.
Whatdoesthisstudyaddtotheliterature?
After16 weeksofspecializedphysical exerciseprogram, theinterventiongroupimprovedmorethanthecontrolgroup, butthedifferenceswerenotstatisticallysignificant.Thecostof theprogramisrelativelysmall.Accordingtothisstudy,policy makersshouldconsiderfinancingthisexerciseprogram. Fur-therresearchshouldfocusonlongerfollow-upandifamore targetedapproachwouldofferbettervalue-for-money.
Z. ˇSpacírováetal./GacSanit.2019;33(6):529–535
Editorincharge
MiguelÁngelNegrínHernández.
Transparencydeclaration
Thecorrespondingauthoronbehalfoftheotherauthors guar-antee the accuracy, transparency and honestyof the data and informationcontainedinthestudy,thatnorelevantinformation hasbeenomittedandthatalldiscrepanciesbetweenauthorshave beenadequatelyresolvedanddescribed.
Authorshipcontributions
Z. ˇSpacírovácontributed toacquisition ofdata,analyzedand interpreteddataand wrotethearticle. D.Epsteinanalyzed and interpreteddata,contributedtodesignofthestudyandtorevising themanuscriptcritically.L.GarcíaMochóncontributedtodesignof thestudy.V.Apariciocontributedtoacquisitionofdata.M.Borges Cosiccontributedtoacquisitionof data.M.P.López contributed todesignofthestudyand torevisingthemanuscriptcritically. J.J.Martíncontributedtodesignofthestudyandtorevisingthe manuscriptcritically.Allauthorsgavefinalapprovaloftheversion tobepublished.
Funding
TheprojectreceivedfundsfromConsejeríadeEconomía, Inno-vación,CienciayEmpleo,JuntadeAndalucía(PI-0667-2013).
Conflictsofinterest
None.
AppendixA. Supplementarydata
Supplementarydataassociatedwiththisarticlecanbefound,in theonlineversion,atdoi:10.1016/j.gaceta.2018.05.012.
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