Glaucoma costs in Denmark in treatment naive patients
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Introduction
Primary open angle glaucoma(POAG) is the most common form ofglaucoma. It is a chronic disease thatreduces the visual field over a periodof years. It can lead to progressiveoptic nerve degeneration and blind-ness (Distelhorst & Hughes 2003). Its
prevalence rate above age 40 yearsvaries between 1% and 5% andincreases with age (Ekstrom 1996; deVoogd et al. 2005). Additional riskfactors are high intra-ocular pressure(IOP) (Le et al. 2003), family history,diabetes mellitus, race, hypertensionor hypotension, severe myopia and ahistory of severe ocular trauma (Mar-
tin et al. 1985; Tielsch et al. 1994;Dielemans et al. 1995, 1996).
The Ocular Hypertension Treat-ment Study (Kass et al. 2002) showedthat topical ocular hypotensive medi-cation delays or prevents the onset ofPOAG. In the Advanced GlaucomaIntervention Study (AGIS 2000),mean visual field defect scores, mea-sured at every visit during a 6-yeartreatment follow-up period, decreasedto almost zero in eyes with IOP values<18 mmHg.
Economic studies of glaucoma andocular hypertension (OHT) have beenperformed in Nordic countries. In thelate 1990s, Kobelt-Nguyen et al. 1998estimated treatment costs in Swedenat $2160 during the two-first yearsafter diagnosis. The model used byKobelt & Jonsson (1999) suggestedthat the greater effectiveness of pros-taglandin analogues for IOP controlcould delay the use of rescue treat-ments (laser and surgery). A study byDenis et al. (2004) showed thatchanges of treatment regime increasedcosts. During recent decades, the con-sumption of anti-glaucoma drugs hasincreased steadily in Nordic countries.The cost increase can be explained inpart by the use of newer more expen-sive drugs. Supplementary use of suchdrugs is more common than changesto new therapy. A recent study byThygesen et al.(2008) estimated socialand health care maintenance costs oflate-stage POAG in Denmark, but thepatient sample was small (n = 59). Itfound that late-stage glaucoma isassociated with home-help costs that
Glaucoma costs in Denmark intreatment naive patients
Jens Olsen,1 Gilles Berdeaux,2,3 and Jesper Skov4
1Centre for Applied Health Services Research and Technology Assessment,University of Denmark, Odense C, Denmark2Alcon France, Rueil-Malmaison, France3National Conservatory of Arts and Trades, Paris, France4Eye clinic, Fredericia, Denmark
ABSTRACT.
Purpose: To describe the costs and providers of glaucoma treatment in Den-
mark.
Methods: Analyses were based on National Register data. Glaucoma ⁄OHT
patients were identified by their first prescription for glaucoma medication
(ATC-codes) in the Danish Register of Medicinal Product Statistics 2002–
2007. Patients had used no glaucoma medication for 6 months. Data for 2007
were sampled cross-sectionally for a budgetary analysis of glaucoma (ICD10
code) medication and services consumed in the primary and secondary health
care services. Patients were categorized according to their number of treat-
ment changes.
Results: The Danish annual incidence rate of glaucoma was estimated at 1.2
per 1000 adult persons. Thirty-seven per cent of patients (men 44%, mean age
68 years; women 56%, mean age 71 years) persisted with their initial treat-
ment regimen, 21% had changed to a second regimen, and 43% had experi-
enced ‡3 regimens. Treatment costs increased with the number of sequential
regimens. Annual glaucoma costs (health care sector perspective) were €305for patients under their initial regimen, increasing to €740 with ‡3 regimens.
Drug costs accounted for 57% of total cost.
Conclusions: Drugs represented the major cost of glaucoma, and those costs
increased, obviously, with the number of treatment changes.
Key words: budget – costs – economics – glaucoma – ocular hypertension
Acta Ophthalmol.ª 2011 The Authors
Acta Ophthalmologica ª 2011 Acta Ophthalmologica Scandinavica Foundation
doi: 10.1111/j.1755-3768.2011.02212.x
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are higher than health care mainte-nance costs, suggesting that betterpreventative treatment could producepotential savings for social care pay-ers, in contrast to health care payers.
Knowledge of treatment costs isimportant for health care decision-makers. The use of models to evaluatethe cost-effectiveness of glaucomatherapy is increasing (Nordmann et al.2005, 2009; Denis et al. 2008a)because it is difficult to documentlong-term effectiveness and costs (e.g.prevention of blindness) from patientdata. However, economic models needsubgroup analysis information on thecosts of glaucoma and on patientslikely to incur the greatest costs.
Denmark has some specificities interms of funding and delivering healthcare. Health care provision (primaryand secondary care) in Denmark is toa great extent a public task, as 85%.of health care costs are financedthrough taxes. Health care is mainlyprovided by the regional authorities.There is free and equal access for allDanish citizens. The patients faceco-payment for prescription drugs,dentist services and visits at physio-therapists, chiropractors, etc. Theextended choice of hospitals entitlespatients – free of charge – to treatmentat a private hospital in Denmark orabroad that has entered an agreementwith the Danish regional authorities.The treatment is at the expense of theregion where the patient is residing.
The purpose of this study was toestimate the costs of glaucoma in Den-mark (health care sector perspective),i.e. costs to the primary and secondaryhealth care sectors, including medi-cines prescribed for glaucoma ⁄OHT.The study applies an incidenceapproach, that is it is only the cost ofnew patients (naıve glaucoma ⁄OHTpatients) which is estimated.
Methods
The analyses were based on dataextracted from National Registers (da-tabases) where each individual patientis identified by a unique registrationnumber (CPR-No.). The Danish healthservice has a long tradition of record-ing health service provisions. EveryDanish citizen’s contact with the pri-mary health care sector (general practi-tioner, public and private specialist,ophthalmologist, dentist, physiothera-
pist, chiropractor, etc.) and secondaryhealth care sector (hospital outpatientvisits, admissions, etc.) is exhaustivelyrecorded in these registers, i.e. sex, age,type of contact, speciality, fee ⁄ charge,diagnoses (secondary health care sectoronly) and procedure codes. Danish leg-islation permits researchers and othersto access the databases. This study wasreported to, and approved by, theDanish Data Protection Agency (J.No.2008-41-2563). Data for 2007 weresampled cross-sectionally to estimateannual glaucoma ⁄OHT costs and per-form a budgetary analysis. The analy-sis embraced medicines and services inthe primary and secondary health caresectors relevant to glaucoma.
Glaucoma ⁄OHT patients were iden-tified by prescribed glaucoma medica-tion (defined by ATC-codes – S01Eclass) listed in the Danish Register ofMedicinal Product Statistics (2002–2007). The focus was on naive glau-coma ⁄OHT patients, i.e. patients notpreviously treated with an intraocularpressure (IOP)-lowering drug. A newor incident patient was one who hadnot used glaucoma medicines in theprevious 6 months, because treatmentis delivered usually for 3 months. This6-month delay has often been used toidentify naive to IOP treatmentpatients (Schmier et al. 2009; Schmier& Covert 2010) when analysing data-base. Accordingly, the study estimatedthe number of new patients over5.5 years (mid-2002 to 2007) to ensurethat eligible patients had begun glau-coma medication during the observa-tion period. Costs of glaucomamedication were taken from the Dan-ish Register of Medicinal Product Sta-tistics, 2007. Market prices were usedas cost estimates.
Data on primary health care ser-vices relating to glaucoma treatment,e.g. treatments and examinations,were extracted from the Primary CareSector Register (Sygesikringsregister-et), accessed by the patient’s uniqueregistration number. Such services areassociated with fees paid by the publichealth insurance system to the pro-vider. Fees can be regarded as costestimates, reflecting the value of a ser-vice (Honorartabel 2007).
Data on the patients’ resource use inthe secondary care sector (the hospitalsector) were obtained in the NationalPatient Register (Landspatientregisteret)via the unique person registration
number and were defined in terms ofregistered hospital contacts. A contactcan take place as a visit at the accidentand emergency department, an outpa-tient clinic or as an inpatient admis-sion. For each contact, there is adescription of the resource use associ-ated with the contact, which is definedaccording to the national diagnosticrelated group system (DRG-system).That is, the DRG-charges were usedas cost estimates (Sundhedsstyrelsen2007). In this analysis, only servicesrelated to the treatment of Glaucomawere included, implying that only con-tacts where the primary diagnose wasa ‘Glaucoma-diagnose’ were included(‘Glaucoma-diagnose’ defined as rele-vant ICD10-diagnosis codes). The costestimates were converted from DKKto € using the following exchange rate:7.44 DKK = 1.00€.
The present data, based on theabove three registers, categorizedpatients according to their number oftreatment changes. Treatment changewas defined as the start or cessation(duration at least 180 days) of a glau-coma treatment (including laser treat-ment and surgery). A 180-day or moretime wise gap between two purchasesof the same glaucoma medicine wasalso categorized as a treatment change.Data were analysed with SAS software(SAS Institute Inc., Cary, NC, USA).Descriptive statistics (mean, medianand 95% confidence intervals) wereapplied to qualitative variables. Multi-ple linear stepwise regression analysis,with log transformation of skewedcost distributions, was used to identifyfactors that predicted total annualhealth care costs and annual drugcosts. Average costs per patient(regression barycentre) were calculatedfrom the model’s estimators. Costs perpatient served as a reference to esti-mate additional costs by varying rele-vant factors (explanatory variables).
Results
A total of 27 380 new glaucoma ⁄OHTpatients were identified for the5.5-year period (mid-2002 to 2007),corresponding to a yearly incidence rateof 0.91 per 1000 people or 1.2 per 1000adult (+17 years) persons (Danishpopulation: 5.4 million, Danish adult(+17 years) population: 4.2 million).
The patient population was com-prised of 44% men (mean age
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68 years) and 56% women (mean age71 years). Thirty-seven per cent ofpatients continued with their initialtreatment; 21% had transferred to asecond regimen; and 43% had experi-enced ‡3 treatment regimens. Table 1presents patient demographic andtreatment statistics. It can be seen thatthe frequency of treatment changesgradually increased with the numberof years since first diagnosis.
Figure 1 further shows that glau-coma treatment costs increased withthe number of treatment changes.Total annual glaucoma costs perpatient averaged €305 during initialtreatment, but increased to €740 forpatients experiencing ‡3 treatmentchanges. On average, drugs accountedfor 57% of total costs, but as totalcosts increased, the drug contributiondecreased from 61% during initialtreatment to 51% with ‡3 treatmentchanges.
Table 2 shows cost estimates for theprimary health care sector (privateophthalmologists). Visits to ophthal-mologists during the year increasedwith the frequency of treatmentchanges. Consequently, costs increasedfrom €110 to €239 with ‡3 treatmentchanges. It should be stated that26.3% of patients receiving first-linetreatment did not visit any ophthal-mologist registered in the primaryhealth care database.
Moreover, few patients (1.3–6.3%)sought hospital care for glaucoma(Table 3). Hence, annual mean costsin the secondary health care sectorwere low, but increased once againwith the number of treatment changes(€8–€123). If only patients with con-tact to the hospital sector areincluded, the annual mean costs wereestimated to € 1500 – ranging from €622 (0 treatment changes) to € 1966(three or more treatment changes).
Glaucoma treatments and regimenchanges are presented in Table 4.More than 50% of patients (increas-ing with treatment changes) were pre-scribed prostaglandin analogues. Also,the percentage of patients receivingfixed combinations (especially prosta-glandin analogue agents plus timolol)increased with the number of changes.Note that most patients started withmonotherapy with only 11.7% receiv-ing combination treatments.
Table 5 summarizes regression anal-ysis results, i.e. factors predicting total
health care costs and drug costs, respec-tively. The model explained 25% and26% of the cost variances (R2-values),and estimated average annual totalpatient costs were €369. The datacharacterized the average patient as a
woman aged 71 years, treated for2.4 years with one treatment change.Differences of gender contributed littleto cost variation. By contrast, age,the number of regimen changes andespecially years of treatment (disease
Table 1. Descriptive statistics: number of glaucoma patients, number of treatment changes, age
and duration of treatment.
Treatment changes and
gender Patients
Treatment duration
(years)
Gender
No. treatment
changes N
Age
Mean MedianMean Median
Male 0 4420 67.0 69 1.98 1.49
1 2443 68.9 70 2.48 2.23
2 1829 69.2 70 2.36 2.14
‡3 3347 68.2 70 2.93 2.99
Female 0 5578 70.6 73 2.07 1.66
1 3185 71.6 73 2.54 2.36
2 2419 71.3 73 2.38 2.18
‡3 4159 70.6 72 2.91 2.99
Table 2. Costs p.a. incurred by the primary care sector resulting from treatment changes (2007
prices)*.
Treatments Patients Costs (€)
No. changes N
% visiting
ophthalmologists
in 2007 [% (n)] Mean Median
CI 95%:
mean
lower limit
CI 95%:
mean
upper limit
0 9998 73.7 (7367) 110 84 106 114
1 5628 91.4 (5146) 155 132 150 159
2 4248 92.9 (3.945) 185 154 179 191
‡3 7506 93.9 (7.047) 239 189 233 243
* Primary health care sector costs include visits, examinations, laser treatment and surgery.
€ 187
€ 278 € 295
€ 382
€ 305
€ 451
€ 507
€ 744
0
100
200
300
400
500
600
700
800
Cos
t (€)
1st 2nd 3rd 3 or more
Treatment sequence
Drug costTotal cost
Fig. 1. Average glaucoma treatment costs p.a. according to treatment changes (2007 prices).
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duration) contributed substantially toincreasing costs.
The number of treated patients in2007 was 27 380 (corresponding to thenumber of new patients over 5.5 years –mid-2002 to 2007), and the total treat-ment costs for these glaucoma ⁄OHTpatients were estimated €13.3 millionp.a. (2007 prices). A budget impactanalysis (costs distribution) betweendrugs, primary and secondary (hospi-tal) health care sectors is shown inFig. 2.
The foregoing cost analyses adoptedthe health care sector perspective, sig-nifying that all costs (except for
drugs) were publicly funded (taxes) inDenmark, i.e. primary and secondaryhealth care sector costs. A co-paymentscheme exists for prescription drugs,i.e. for payments between €0 and €110a year, patients bear all drug coststhemselves; from €110 to €180, theybear 50% of costs; from €180 to €390,the co-payment is 25%; and with drugcosts greater than €390 p.a., they bear15%. The results show annual meandrug costs per patient after paying€187 for first-line treatment, €278 forsecond-line treatment, €295 for third-line treatment and €382 for fourth-lineand subsequent treatments. Hence, all
glaucoma ⁄OHT patients made annulco-payments of at least €145. If apatient is treated with other prescrip-tion medicines within the same yearin addition to glaucoma drugs, theco-payment for glaucoma treatmentmay be reduced.
Discussion
To our knowledge, this is the firstreport of glaucoma costs and factorspredicting costs to be based onnational registers collecting compre-hensive patient data of an entire coun-try. In 2007, when life expectancy wasapproximately 78 years (2005), theDanish health care sector disbursed,in total, about 16 billion euros mostlyon the primary health care sector,medicines and care in a population of5.4 million inhabitants. Today, onreaching an average age of 69.5 years,about 5000 Danish citizens p.a. willbegin glaucoma treatment. They willthen be treated for approximately10 years (OECD 2007). Thus, mostannual glaucoma expenditure is onexisting patients as opposed to naive,newly diagnosed patients startingIOP-lowering treatment.
As stated, this study applied anincidence approach implying that onlynew glaucoma ⁄OHT patients for a5.5-year period (mid-2002 to 2007)were included, thus ignoring patientsthat were already in treatment forglaucoma before mid-2002. If apatient on average is treated for glau-coma 10–12 years, then the total num-ber of patients in Denmark isapproximately 56 000 and the totalcost of glaucoma (health care sectorperspective) would be approximately€26.6 million p.a. (2007 prices), pro-vided the cost structure we estimatedremains constant over years.
Cost or budget comparisons amongcountries are not straightforward
Table 4. Drugs and treatment changes.
Medication
No. treatment changes
0 1 2 ‡3
ATC group
% patients
treated (%)
Sympathomimetics 1.6 3.1 4.0 12.4
Parasympathomimetics 1.5 1.5 1.2 2.2
Carbonic anhydrase inhibitors 19.1 14.6 17.8 27.2
Beta-blocking agents 20.1 24.4 22.3 25.6
Fixed combinations 9.4 24.9 27.3 41.4
Prostaglandin analogues 50.8 62.2 64.3 71.0
% patients given monotherapy* 88.3 45.9 43.1 5.1
* Column totals >100% as some patients were treated with more than one drug.
Table 3. Secondary health care sector (hospital) costs p.a. according to treatment changes
(2007 prices)*.
Treatments Patients Costs (€)
No. changes N
% patients
attending
hospital in
2007 [% (n)] Mean
CI 95% mean
lower limit
CI 95% mean
upper limit
0 9998 1.3 (129) 8.02 6.21 9.84
1 5628 2.1 (119) 18.40 11.46 25.33
2 4248 2.3 (96) 26.57 17.26 35.88
‡3 7506 6.3 (471) 123.34 103.91 142.77
* Costs include outpatient treatments and admissions. N.B. Patients not using hospital services
are included in the cost estimates.
Table 5. Factors predicting total annual health care costs and annual drug costs (2007 prices).
Item
Average
patient profile Model change
Total health
care costs* (€) p-value Drug costs� (€) p-value
Cost variance (R2) 0.2505 0.2648
Average patient costs 369 199
Treatment status 2 Changed 2–3 +74 <0.0001 +30 <0.0001
Sex Female Male )8 0.0381 )4 0.0409
Age (years) 71 >10 +59 <0.0001 +33 <0.0001
Treatment duration (years) 2.4 >5 +133 <0.0001 +299 <0.0001
* Regression model: ln(total healthcare costs + 1) = a + b1Æage + b2Æsex + b3Ætreatment years + b4ÆNo. treatment changes.
� Regression model: ln(drug costs + 1) = a + b1Æage + b2Æsex + b3Ætreatment years + b4ÆNo. treatment changes.
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(Shaarawy et al. 2009a, Vol. 1)because the methods applied to getsuch estimates are highly variable(economic perspective, type ofresources collected, loss of productiv-ity included or not, unit cost, type ofexperimental design to guaranteenational extrapolation, etc.). A studysimilar to ours was conducted by Tuu-lonen (Vaahtoranta-Lehtonen et al.2007; Tuulonen et al. 2009) who esti-mated IOP-lowering drug incidenceand prevalence rates from the SocialInsurance Institution registers. Theyidentified 4895 naive patients over apopulation of 5.2 millions inhabitants,leading to an incidence rate of0.94 ⁄ 1000, a figure very close to ours(0.91). In terms of annual budgetcomparison, and even we applied araw method to account for the factthat we selected incident cases whilebudget estimates usually require pre-valent case, our estimate is similar tothe one reported in the literature.According to Taylor et al. (2006), theannual budget for glaucoma was144.2 millions Australian dollars(102.3 millions Euro) for 21.017 mil-lions inhabitants, which makes 26.6millions Euro when adjusted to theDanish population size. Our figureshould be interpreted as higherbecause Taylor included loss of pro-ductivity cost. Rein et al. (2006) did asimilar work in the USA, startingfrom claims collected in a privateinsurance and Medicare. They founda glaucoma budget of 2858 millions
US$ (2199 millions Euros) that couldbe estimated to 39.8 millions Eurosaccounting for the Danish populationsize. The fact that USA budget washigher is related to higher unit cost(e.g. drugs are more expensive) andthe inclusion of both loss of produc-tivity and nonmedical costs thataccounted up to 54% of the burdenof visual disorders.
According to Mukesh et al. (2002),there are few reliable data availableon the incidence of open-angle glau-coma from population-based studiesas well as the occurrence varybetween, e.g. Western populations andAfrican populations. However, theincidence rates reported in population-based studies are constantly higherthan the one we found. Ekstrom(2008) found that a rate of 7.11 ⁄1000in a 65- to 74-year-old population inSweden and Astrom et al. (2007)reported a similar estimate, 9 ⁄ 1000 ina 66+ Swedish population. These fig-ures are similar to the ones reportedin surveys conducted outside the Scan-dinavian area. For example, Leskeet al. (2007) and Mukesh (2002)reported incidence rates of 5 ⁄ 1000,respectively, in the Barbados islandsand Australia. Indeed, incident casesof treated glaucoma in Denmark rep-resent probably about one-third ofnew glaucoma, meaning that most ofthe new glaucoma patients are notdiagnosed. While this is probablyexplained by the insidious evolutionof glaucoma, especially at its begin-
ning, additional resources might beworth being invested to diagnosePOAG at this early stage to preservepatient visual functioning potential.Lastly, undiagnosed POAG has beenreported consistently in several Wes-tern developed countries [e.g. Antonet al. (2004), Topouzis et al. (2008),Wong et al. (2004)], which remainsone of the vision-related public healthissues.
Funds dedicated to glaucomashould be compared to other nationalhealth care costs. Thus, in 2005, Den-mark spent about €16.0 billion on itshealth care system: €5.7 billion onhospitals and €944 million on drugs(OECD 2007). It is, therefore, obviousthat glaucoma care, the second causeof blindness in developed countries,represents a small proportion of thebudget allocated to the Danish healthcare system.
We found that in Denmark, themost often prescribed drug was aprostaglandin analogue (PGA), what-ever the treatment line. The use ofPGA is one of the major drivers ofthe increase in drug cost in the lastyears (Shaarawy et al. 2009b, Vol. 2),and the profile of PGA prescription inDenmark was comparable to UK,France and Spain (De Natale et al.2011).
Drugs represent the major costs ofglaucoma, but their relative impor-tance decreases as treatments arechanged. This situation might changedramatically when PGA will becomegeneric. Outpatient and inpatientresources increase steeply with treat-ment changes: more treatment changesmore costs. This suggests that in thelong term, a longer treatment persis-tency might reduce (postpone) thecosts of glaucoma care, at least theones related to laser and surgery.Greater compliance on the part ofpatients would help to maximize treat-ment persistency without increasingcosts and needs to be considered forthe future. Also, a positive associationbetween PGA medication and fewerinterventions by laser therapy and fil-tering surgery is well documented at apopulation level (Bateman et al. 2002;Baudouin et al. 2003; Strutton & Walt2004; Walland 2004; Linksvan derValk et al. 2005; Long & O’Brien2005; Rouland et al. 2005; Knox et al.2006; Macleod et al. 2006; Rachmielet al. 2006; Kenigsberg 2007). Thus,
€ 1 855 42914%
€ 671 6105%
€ 519 9274%
€ 1 503 64611%
€ 1 222 3789%
€ 7 552 96657%
Primary care sector, visitsPrimary care sector, laserPrimary care sector, surgeryPrimary care sector, examinationsHospital sectorDrug cost
Fig. 2. Budget impact analysis.
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the apparently high cost of drugstoday might result, at least partially,from cost-shifting from hospitals tothe drug budget, which will disappearonce PGA will become generic.Lastly, in the short term (at a treat-ment line–level duration), longer per-sistency (i.e. less treatment changes)has been found associated with costsavings according to daily practice, ontreatment, in- and outpatient careresource utilization (Lafuma & Ber-deaux 2007, 2008; Lafuma et al. 2008;Denis et al. 2008b; De Natale et al.2009; J. Salmon et al. 2011).
It is traditional in Denmark torecord the costs of health care servicesin central administrative databases.The registers contain fully comprehen-sive data and, in contrast to othercountries, provide a new and valuablecontribution to glaucoma cost studies.This study was based on individualregister data and included every newDanish glaucoma ⁄OHT patient for a5.5-year period (i.e. incident cases).Our results are consistent with reportsin the literature. Costs increase withage, treatment changes and diseaseduration. In this paper, we report esti-mates specific to Denmark. Fewpatients were treated in hospitals (athigher cost) where expensive proce-dures are undertaken that are notavailable in the primary health caresector. Furthermore, hospital treat-ment of ambulant patients is generallymore costly than that in primaryhealth care, because hospitals havehigher fixed costs.
Our analysis suffers from severallimitations. First, prescription renewalwas not clearly documented, so wefixed the average renewal periodempirically at 100 days (correspondingto three eye-drop bottles). Accordingto the summaries of most IOP-lower-ing drugs, an eye-drop bottle containsenough fluid for at least 28 days. Sec-ond, reasons for modifying treatmentswere not documented in the data-bases, thus precluding definitive analy-sis. We need such data to understandand deal with the reasons for treat-ment changes. Third, an unavoidablelimitation to the study was its retro-spective design, preventing verificationof data accuracy. For example, visitsfor monitoring disease progressionmight have been underreported,explaining why 26.3% of first-linepatients did not visit their ophthal-
mologists in 2007. Fourth, we did nothave access to IOP, visual field defectand other measures used in following-up glaucoma ⁄OHT patients. Access tosuch data would probably haveimproved our ability to identify thosepatients incurring high costs. Fifth, byits nature, a particular health caredatabase limited our economic per-spective on glaucoma costs incurredby the most advanced cases, i.e. con-cerning the economic impact of blind-ness, which is very important forfamilies as it leads to dramatic loss ofproductivity (Lafuma et al. 2006).Fifth, patients with glaucoma not cur-rently treated with an IOP-loweringdrug did not participate in this analy-sis (e.g. a naive patient with glaucomafiltering surgery whose IOP control issuccessful without glaucoma progres-sion).
In conclusion, the total costs of treat-ing 27 380 glaucoma ⁄OHT patientswere estimated €13.3 million p.a.(2007 prices). Costs increased withage, disease progression and treatmentfailure.
Acknowledgements
The results of this manuscript werepresented at the ISPOR (InternationalSociety for PharmacoEconomics andOutcome Research) European Con-gress, Paris, November 2009. Thiswork was financed by a grant fromAlcon. The analysis was conducted atthe Centre for Applied Health Ser-vices Research and TechnologyAssessment. Gilles Berdeaux isemployed by Alcon France.
ReferencesAGIS (2000): The Advanced Glaucoma Inter-
vention Study (AGIS): 7. The relationship
between control of intraocular pressure and
visual field deterioration.The AGIS Investi-
gators. Am J Ophthalmol 130: 429–440.
Anton A, Andrada MT, Mujica V, Calle
MA, Portela J & Mayo A (2004): Preva-
lence of primary open-angle glaucoma in a
Spanish population: the Segovia study.
J Glaucoma 13: 371–376.
Astrom S, Stenlund H & Linden C (2007):
Incidence and prevalence of pseudoexfolia-
tions and open-angle glaucoma in northern
Sweden: II. Results after 21 years of fol-
low-up. Acta Ophthalmol Scand 85: 832–
837.
Bateman DN, Clark R, Azuara-Blanco A
et al. (2002): The effects of new topical
treatments on management of glaucoma in
Scotland: an examination of ophthalmolog-
ical health care. Br J Ophthalmol 86: 551–
554.
Baudouin C, Rouland JF & Le Pen C (2003):
Changes in medical and surgical treatments
of glaucoma between 1997 and 2000 in
France. Eur J Ophthalmol 13(Suppl 4):
S53–S60.
De Natale R, Lafuma A & Berdeaux G (2009):
Costs and effectiveness of Travatan� (travo-
prost) versus Xalacom� (Latanoprost +
Timolol) as Glaucoma first-line treatments:
analysis based on the United Kingdom
General Practitioner Research Database.
Clin Drug Investig 29: 111–120.
De Natale R, Le Pen C & Berdeaux G
(2011): Efficiency of glaucoma drug regula-
tion in five European countries. J Glau-
coma 20: 234–239.
Denis P, Lafuma A & Berdeaux G (2004):
Medical predictive factors of glaucoma
treatment costs. J Glaucoma 13: 283–290.
Denis P, LePen C, Umuhire D et al. (2008a):
Treatment carry-over impacts on effective-
ness of intra-ocular pressure lowering
agents, estimated by a discrete event simu-
lation model. Eur J Ophthalmol 18: 44–51.
Denis P, Lafuma A & Berdeaux G (2008b):
Costs and effectiveness of alpha-2 adrener-
gic agonists versus carbonic anhydrase
inhibitors, both associated with prostaglan-
din analogues, for glaucoma as recorded
by The United Kingdom General Practi-
tioner Research Database. Clinical Oph-
thalmol 2: 1–9.
Dielemans I, Vingerling JR, Algra D et al.
(1995): Primary open-angle glaucoma,
intraocular pressure, and systemic blood
pressure in the general elderly population.
The Rotterdam Study. Ophthalmology 102:
54–60.
Dielemans I, de Jong PT, Stolk R et al. (1996):
Primary open-angle glaucoma, intraocular
pressure, and diabetes mellitus in the general
elderly population. The Rotterdam Study.
Ophthalmology 103: 1271–1275.
Distelhorst JS & Hughes GM (2003): Open-
angle glaucoma. Am Fam Physician 67:
1937–1944.
Ekstrom C (1996): Prevalence of open-angle
glaucoma in central Sweden. The Tierp
Glaucoma Survey. Acta Ophthalmol Scand
74: 107–112.
Ekstrom C (2008): Incidence of open-angle
glaucoma in central Sweden. Acta Ophthal-
mol 86: 747–754.
Regionernes Lønnings- og Takstnævn &
Praktiserende Lægers Organisation (2007):
Honorartabel. Overenskomst om almen
praksis og Profylakseaftalen. Available at:
http://www.laeger.dk.
Kass MA, Heuer DK, Higginbotham EJ
et al. (2002): The Ocular Hypertension
Treatment Study: a randomized trial deter-
mines that topical ocular hypotensive medi-
cation delays or prevents the onset of
primary open-angle glaucoma. Arch Oph-
thalmol 120: 701–713.
Kenigsberg PA (2007): Changes in medical
and surgical treatments of glaucoma
Acta Ophthalmologica 2011
6
![Page 7: Glaucoma costs in Denmark in treatment naive patients](https://reader038.fdocuments.us/reader038/viewer/2022100422/575081621a28abf34f8f6afb/html5/thumbnails/7.jpg)
between 1997 and 2003 in France. Eur J
Ophthalmol 17: 521–527.
Knox FA, Barry M, McGowan B et al.
(2006): The rising cost of glaucoma drugs
in Ireland 1996–2003. Br J Ophthalmol 90:
162–165.
Kobelt G & Jonsson L (1999): Modeling cost
of treatment with new topical treatments
for glaucoma. Results from France and the
United Kingdom. Int J Technol Assess
Health Care 15: 207–219.
Kobelt-Nguyen G, Gerdtham UG & Alm A
(1998): Costs of treating primary open-
angle glaucoma and ocular hypertension: a
retrospective, observational two-year chart
review of newly diagnosed patients in Swe-
den and the United States. J Glaucoma 7:
95–104.
Lafuma A & Berdeaux G (2007): Costs and
effectiveness of travoprost versus a dorzo-
lamide + timolol fixed combination in first
line treatment of glaucoma: analysis con-
ducted on the United Kingdom General
Practitioner Research Database. Curr Med
Res Opin 23: 3009–3016.
Lafuma A & Berdeaux G (2008): Costs and
persistence of carbonic anhydrase inhibitor
versus alpha2 agonists, associated with
beta-blockers, in glaucoma and ocular
hypertension: an analysis of the UKGPRD
database. Curr Med Res Opin 24:1519–
1527. Epub 2008 Apr 14.
Lafuma A, Brezin A, Lopatriello S et al.
(2006): Evaluation of non-medical costs
associated with visual impairment in four
European countries (France, Italy, Ger-
many and the United Kingdom). Pharma-
coeconomics 24: 193–205.
Lafuma A, Laurendeau C & Berdeaux G
(2008): Costs and effectiveness of brimoni-
dine versus brinzolamide in everyday glau-
coma care: an analysis conducted on the
United Kingdom General Practitioner
ResearchDatabase. JMedEcon 11: 485–497.
Lafuma A, Salmon JF, Robert J & Berdeaux
G (2011): Treatment persistence and cost-
effectiveness of latanoprost ⁄ latanoprost-timolol, bimatoprost ⁄ bimatoprost-timolol,
and travoprost ⁄ travoprost-timolol in glau-
coma: an analysis based on the United
Kingdom general practitioner research
database. Clin Ophthalmol 5: 361–367.
Le A, Mukesh BN, McCarty CA & Taylor
HR (2003): Risk factors associated with
the incidence of open-angle glaucoma: the
visual impairment project. Invest Ophthal-
mol Vis Sci 44: 3783–3789.
Leske MC, Wu SY, Honkanen R, Nemesure
B, Schachat A, Hyman L & Hennis A
(2007): Barbados Eye Studies Group. Nine-
year incidence of open-angle glaucoma in
the Barbados Eye Studies. Ophthalmology
114: 1058–1064.
Linksvan der Valk R, Schouten JS, Webers
CA et al. (2005): The impact of a nation-
wide introduction of new drugs and a
treatment protocol for glaucoma on the
number of glaucoma surgeries. J Glaucoma
14: 239–242.
Long VW & O’Brien CJ (2005): Trends in
ophthalmic surgery in Ireland. Ir J Med Sci
174: 36–39.
Macleod SM, Clark R, Forrest J et al.
(2008): A review of glaucoma treatment in
Scotland 1994–2004. Eye 22: 251–255.
Martin MJ, Sommer A, Gold EB & Diamond
EL (1985): Race and primary open-angle
glaucoma. Am J Ophthalmol 99: 383–387.
Mukesh BN, McCarty CA, Rait JL & Taylor
HR (2002): Five-year incidence of open-
angle glaucoma: the visual impairment pro-
ject. Ophthalmology 109: 1047–1051.
Nordmann JP, Lafuma A, Pradet S et al.
(2005): Clinical outcomes of glaucoma
treatments over a patient lifetime: a Mar-
kov model. J Glaucoma 14: 463–469.
Nordmann JP, Lafuma A & Berdeaux G
(2009): Modeling the lifetime economic
consequences of glaucoma for France.
J Med Econ 12: 9–16.
OECD (2007): OECD data. publishing, Paris,
France.
Rachmiel R, Trope GE, Chipman ML et al.
(2006): Effect of medical therapy on glau-
coma filtration surgery rates in Ontario.
Arch Ophthalmol 124: 1472–1477.
Rein DB, Zhang P, Wirth KE et al. (2006):
The economic burden of major adult visual
disorders in the United States. Arch Oph-
thalmol 124: 1754–1760.
Rouland JF, Le Pen C, Benhaddi H et al.
(2005): Glaucoma Study Group. Naturalis-
tic, prospective study of glaucoma and
ocular hypertension treatment in France:
strategies, clinical outcomes, and costs at
2 years. Eur J Ophthalmol 15: 562–580.
Schmier JK & Covert DW (2010): First-year
treatment costs among new initiators of
topical prostaglandin analogs: pooled
results. Clin Ophthalmol 4: 437–445.
Schmier JK, Covert DW & Robin AL (2009):
First-year treatment costs among new initi-
ators of topical prostaglandin analogs. Clin
Ophthalmol 3: 637–644.
Shaarawy TM, Sherwood MB, Hitchings R
& Crowston J (2009a): Economics of glau-
coma care. In: Saunders (ed.). Glaucoma:
medical diagnosis and therapy, Vol. 1.
China: Elsevier, ISBN 978-0-7020-2976-9
Shaarawy TM, Sherwood MB, Hitchings R
& Crowston J (2009b): Economics of sur-
gery worldwide. In: Saunders (ed.). Glau-
coma: surgical management, Vol. 2. China:
Elsevier, ISBN 978-0-7020-2976-9
Strutton DR & Walt JG (2004): Trends in
glaucoma surgery before and after the
introduction of new topical glaucoma phar-
macotherapies. J Glaucoma 13: 221–226.
Indenrigs- og Sundhedsministeriet og Sund-
hedsstyrelsen (2007): Takstsystem 2007.
Vejledning. Available at: http://www.im.dk.
Taylor HR, Pezzullo ML & Keeffe JE (2006):
The economic impact and cost of visual
impairment in Australia. Br J Ophthalmol
90:272–275. Comment in: Br J Ophthalmol.
90(3):255–7.
Thygesen J, Aagren M, Arnavielle S et al.
(2008): Late-stage, primary open-angle
glaucoma in Europe: social and health care
maintenance costs and quality of life of
patients from 4 countries. Curr Med Res
Opin 24: 1763–1770.
Tielsch JM, Katz J, Sommer A et al. (1994):
Family history and risk of primary open-
angle glaucoma. The Baltimore Eye Sur-
vey. Arch Ophthalmol 112: 69–73.
Topouzis F, Coleman AL, Harris A et al.
(2008): Factors associated with undiagnosed
open-angle glaucoma: the Thessaloniki Eye
Study. Am J Ophthalmol 145: 327–335.
Tuulonen A, Salminen H, Linna M & Perk-
ola M (2009): The need and total cost of
Finnish eyecare services: a simulation
model for 2005–2040. Acta Ophthalmol 87:
820–829.
Vaahtoranta-Lehtonen H, Tuulonen A, Aro-
nen P et al. (2007): Cost effectiveness and
cost utility of an organized screening pro-
gramme for glaucoma. Acta Ophthalmol
Scand 85: 508–518.
de Voogd S, Ikram MK, Wolfs RC et al.
(2005): Incidence of open-angle glaucoma
in a general elderly population: the Rotter-
dam Study. Ophthalmology 112: 1487–
1493.
Walland MJ (2004): Glaucoma treatment in
Australia: changing patterns of therapy
1994–2003. Clin Experiment Ophthalmol
32: 590–596.
Wong EY, Keeffe JE, Rait JL, Vu HT, Le A,
McCarty C & Taylor HR (2004): Detection
of undiagnosed glaucoma by eye health
professionals. Ophthalmology 111: 1508–
1514.
Received on April 22nd, 2010.
Accepted on May 11th, 2011.
Correspondence:
Gilles Berdeaux, MD
Alcon France
4, rue Henri Sainte-Claire Deville
F-92563 Rueil-Malmaison
France
Tel: + 33 1 47 10 48 60
Fax: + 33 1 47 10 27 70
Email: [email protected]
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