Social/ economic burden and health-related quality of life in patients with Spinal Muscular Atrophy (SMA) in Greece
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Authors
Objective: The objective of this study was to determine the economic burden and health-related quality of life (HRQoL) of patients with SMA and their caregivers in Greece, which is still unknown, and explore the economic impact of the implementation of a reproductive carrier screening (RCS) program.
Methods: A cross-sectional study was conducted in which an online questionnaire was completed by caregivers of SMA patients. A cost of illness (COI) model was developed in which costs per patient were calculated from a societal perspective and extrapolated to the Greek SMA population. Parents’/caregivers’ HRQoL was measured using the 36-item PedsQL™ Family Impact Module. Resources for the implementation of RCS program were estimated and its short-term impact was assessed.
Results: The COI was estimated at €261,785 per patient in 2022. When extrapolating this across all affected persons, the average annual cost ranged from €49,739,395 to €91,036,017 depending on the prevalence considered. Out-of-pocket expenses accounted for 8% of the total. Results of the analysis on HRQoL indicated a high burden on parents/ caregivers with the majority of scores falling below 50 and a mean total score of 45. Depending on the scenario used, an RCS program could save the Greek healthcare system at least €167,181 or increase its costs by €564,804.
Conclusions: SMA imposes
a significant economic burden in affected patients, caregivers, and health care
system. The cost-saving magnitude of a potential implementation of a CRS
program is dependent on the parents' reproductive choices following a positive
screening result.
1. Introduction
Spinal muscular atrophy (SMA) is an autosomal recessive
neuromuscular disorder caused by the degeneration of alpha motor neurons in the
spinal cord which results in progressive proximal muscle weakness and paralysis
[1]. The incidence of SMA ranges from 1 in 6,000 to 1 in 10,000 live births,
and carrier frequency ranges from 1/40 to 1/60, making it the second most
common fatal autosomal recessive disorder after cystic fibrosis [2,3].
In Greece, its prevalence is estimated at 3.3/100,000 and
1.5/100,000 according to Orphanet [4] and Kekou et al. 2020 [5], respectively.
The debilitating nature and severity of the disease require a variety of
healthcare resources, including frequent visits to medical practitioners and
expensive treatments to increase life expectancy. Patients may have restricted
access to early medication if SMA diagnosis is delayed for months or even
years.
Various studies have been conducted worldwide in an effort
to estimate the economic burden of SMA to the society as a whole [6-18]. To our
knowledge, no study has been published in Greece delving into the economic
burden of SMA.
Further, not many studies [19] have attempted to quantify
the economic impact of introducing a reproductive carrier screening (RCS)
program to the third-party payer’s budget as well. The purpose of the RCS is to
inform women who are about to give birth on the likelihood of giving birth to a
child who will develop SMA.
Reproductive choices of couples who have been informed of a
positive result differ between countries [4, 5, 20, 21]. Few real-world studies
have shown that a high proportion of couples do not proceed with the pregnancy
[22-24] while in an Israelian study this percentage dropped to around 50% [25].
In Greece, a survey conducted in two hospitals among 533
women showed that 78% and 86% would not proceed with pregnancy in cases of
lethal anomaly or developmental delay, respectively [26]. Real world Greek data
from 88 pregnancies from a single hospital indicate an increase to this number
to 96% and 100% for lethal anomalies and developmental delays, respectively [26].
The present study aims to present results regarding the
socio-economic burden of SMA in Greece and specifically estimate the cost of
illness (COI) and health-related quality of life (HRQoL) of patients with SMA.
Further it attempts to assess the economic impact to the Greek National Health
System from the implementation of an RCS program.
2. Methodology
A cross-sectional study was conducted between October to December 2022. An online questionnaire with 21 queries was developed to assess patients' healthcare resource use (HCRU) (i.e., inpatient admissions, outpatient visits, surgical procedures, laboratory investigations, imaging tests and concomitant medications), equipment and services required for patients' daily activities, socio-demographic factors as well as parents’/ caregivers’ loss of productivity and HRQoL. The questionnaire was reviewed and validated by members of the "95" Rare Alliance Greece, a Greek non-profit organization advocating for patients with rare diseases. Respondents' healthcare resource use was leveraged as input in the COI model while cost inputs were retrieved by publicly official sources.
A convenience sample of 19 families was identified while those eligible to participate in the study were patients diagnosed with SMA, and their main caregiver. The latter was responsible for the completion of the self-administered questionnaire. Participants were informed of the study objectives as well as confidentiality and anonymity of data and gave written consent to participate. The present study was conducted in accordance with the Declaration of Helsinki and the Greek legislation (Law 2328/1995, Presidential Decree 310/1996, Law 3603/2007, Law 2472/1997, Law 3471/2006), stating that there is no need for ethics approval in telephone and internet surveys such the one presented here.
Following the queries focused on assessing the economic
burden of SMA, the 36-item PedsQL™ Family Impact Module (FIM) was used to
evaluate HRQoL of parents/ caregivers.
The 36-item PedsQL™ FIM Scales encompasses 6 scales measuring parent
self-reported functioning: 1) physical functioning (6 items), 2) emotional functioning
(5 items), 3) social functioning (4 items), 4) cognitive functioning (5 items),
5) communication (3 items), 6) worry (5 items), and 2 scales measuring parent
reported family functioning; 7) daily activities (3 items) and 8) family relationships
(5 items) [27]. Each item is scored on a five-point response scale, then
converted to a 0 to 100 scale. A 5-point response scale is utilized (0 = never
a problem; 4 = always a problem). Items are reverse-scored and linearly
transformed to a 0–100 scale (0 = 100, 1 = 75, 2 = 50, 3 = 25, 4 = 0), so that
higher scores indicate better functioning (less negative impact). Scale scores
are computed as the sum of the items divided by the number of items answered
(this accounts for missing data).
2.1. Cost of illness analysis
A de novo COI model was developed to estimate the average annual economic burden of SMA in the Greek population from a societal perspective considering direct and indirect costs (productivity loss). The model adopted a prevalence approach and as such all prevalent cases in Greece were considered. Two approaches were explored to estimate the number of SMA patients; one using the prevalence value reported by Orphanet [4] and one using the prevalence recorded in 2020 by Kekou et al. [5]. The prevalence rates were then applied to the total number of the Greek population (10,432,481) [20] which estimated that 348 and 190 patients, were respectively expected to suffer from SMA in Greece. Moreover, based on an 1:11,000 incidence rate [5] it was estimated that approximately eight births of babies with SMA could be expected every year. The resources used, as reported in the questionnaires, were multiplied by the unit costs [21] to estimate the annual cost per patient and per population using 2022 as the reference year. An overview of the model structure is illustrated in Figure 1.
Figure 1 Model structure
2.1.1 Healthcare resource use inputs
Healthcare
resource use of patients with the different types of SMA as reported by
respondents is presented in Table 1. Overall, the healthcare resources
with the highest usage for patients were visits to a healthcare practitioner,
complete blood count testing, X-rays. Three hospitalizations were reported by
patients during the previous year, each lasted approximately three days. The main reason of hospitalization was lower
respiratory tract infections such as pneumonia and bronchitis, with pneumonia
accounting for almost half of hospitalizations.
Table 1 Yearly
healthcare resource use of patients with SMA
Resource |
Average |
Medical
visit |
5.3 |
Complete
blood count |
3.0 |
X-ray |
2.3 |
Spirometry |
1.4 |
Use of
chest or limb support |
0.9 |
DXA |
0.4 |
Hospitalization |
2.7 |
Sleep study |
0.6 |
Eye test |
0.7 |
Dental test |
2.1 |
Physiotherapy |
2.3 |
Speech and
language therapy |
1.0 |
Occupational
therapy |
1.3 |
Hydrotherapy |
1.9 |
Psychotherapy |
0.6 |
Abbreviations: DXA, dual-energy x-ray absorptiometry |
Furthermore, a number of
patients required surgery of the spine (33%), tracheostomy (17%), gastrostomy
(11%) and orthopedic operations (17%). Some health services that considered in
the analysis such as physiotherapy, speech therapy, occupational therapy,
hydrotherapy, and psychotherapy are not fully reimbursed in Greece. As outlined
in Table 2, up to 100% of patients reported not receiving full
reimbursement for their treatments, and in some cases (i.e., hydrotherapy), not
being reimbursed at all.
Table 2 Percentage
of reimbursement of specific therapies
Physiotherapy |
Speech and language therapist |
Occupational therapy |
Hydrotherapy |
Psychotherapy |
|
% of patients that are not
reimbursed |
72.2% |
88.9% |
83.3% |
100.0% |
88.9% |
Abbreviations: SMA, spinal muscular atrophy |
Patients
with SMA require additional resources such as consumables for tracheostomy,
breathing devices and medications besides the SMA related treatment. Moreover,
some patients may also need adjustments to their home, an elevator, or a
vehicle for transportation to improve their daily management of the disease. It
is also common for patients to visit hospitals and clinics at regular intervals
to undergo various treatments, which contributes to the already high
out-of-pocket costs.
Last, more than half of respondents said that one of the two parents was unable to work because of the responsibility of caring for someone with SMA. The working parent had to take approximately 17 days off from work in order to assist with the activities.
2.1.2. Cost inputs
Cost inputs comprise of direct treatment acquisition and
administration, direct monitoring and hospitalization (HCRU), out-of-pocket and
indirect costs (productivity loss).
Treatment acquisition costs were based on the recommended dosing schemes as sourced from each treatment’s Summary of Product Characteristics (SPC) issued by European Medicines Agency (EMA) [28-30] and the published unit prices as sourced from the latest Drug price bulletin issued by the Greek Ministry of Health [31] (Supplementary Table 1).
Supplementary Table 1 Treatment dosing schemes and cost inputs
Treatment |
Dosing
scheme |
Total
doses |
Reimbursed
annual cost |
Source |
Nusinersen |
The recommended dosage is 12 mg (5 ml) per administration. Four loading doses on Days 0, 14, 28 and 63. A maintenance dose once every 4
months thereafter |
6 |
€ 58,644 |
Drug price bulletin issued by the Ministry of Health [31] |
Risdiplam |
5
mg daily dose (2 years of age (≥ 20 kg) |
31 |
€
6,834 |
|
Onasemnogene
abeparvovec |
Mean of 185.25 total volume of dose (mL) |
1 |
€ 1,686,257 |
Administration costs were applied to the treatments that
require to be administered by a physician or health professional with
experience in the management of SMA and therefore the cost of a day-case
hospital setting was charged (€80 per infusion [32]).
Monitoring and hospitalization costs were inserted into the model
based on the annual frequency of use reported by respondents and the unit costs
reflecting the official reimbursed prices by budget payer and the relevant
DRGs. The aforementioned unit costs are illustrated in Supplementary Table 2.
Supplementary Table 2 Unit costs of HCRU
Resource |
Unit
cost |
Source |
Medical
visit |
€10.0 |
EOPYY
reimbursed price based on physicians reimbursed fee |
Complete blood count |
€1.99 |
EOPYY
reimbursed price of complete blood count based on Greek list of laboratory
and imaging tests’ prices (Geek reference: 157/18,157/24 - Γενική εξέταση αίματος-αιμοσφαιρίνη-αριθμός ερυθρών αιμοσφαιρίων, αριθμός λευκών και τύπος αυτών, μετά
προσδιορισμού αιματοκρίτου ΗΤ) |
X-ray |
€4.1 |
EOPYY
reimbursed price of hips X-ray based on Greek list of laboratory and imaging
tests’ prices (Greek reference: 157/39: Ακτινογραφία λεκάνης και κατ' ισχίον
αρθρώσεων) |
Spirometry |
€4.1 |
EOPYY
reimbursed price of spirometry based on Greek list of laboratory and imaging
tests’ prices (Greek reference ΣΤΡ. ΣΧΕΔ. ΔΒ3Ε/92/19-01-2017 - Απλή σπιρομέτρηση προ βρογχοδιαστολής) |
Use of
chest or limb support |
€35.0 |
EOPYY
reimbursed price of splint based on Greek list of laboratory and imaging
tests’ prices (Greek reference: 1502/11-10-2006 - Ναρθηκες από σκληρο ακρυλικο χειρουργικοι-συγκλισης-ανακουφισης - Τ.Α.Υ.Τ.Ε.Κ.Ω.) |
DXA |
€33.3 |
EOPYY
reimbursed price of bone density test based on Greek list of laboratory and
imaging tests’ prices (Greek reference: 138/29 - Μέτρηση οστικής πυκνότητας με διπλή φωτονιακή απορροφησιομέτρηση (D.P.Α.)-ΜΟΠ) |
Hospitalisation |
€200.0 |
One-day
clinic |
Sleep
study |
€146.7 € |
EOPYY
reimbursed price of sleep study based on Greek list of laboratory and imaging
tests’ prices (Greek reference: 427/7 - Πολυσωματοκαταγραφική μελέτη κατά την διάρκεια του ύπνου ή μελέτη
κατά τη διάρκεια του ύπνου (test ύπνου). Κατά την
διάρκεια του ύπνου επί 7 ώρες καταγράφονται: Ηλεκτροεγκεφαλογράφημα,
Ηλεκτροκαρδιογράφημα, Καπνογράφημα, Κινήσεις θώρακος και κοιλιάς, Οξυμετρία) |
Eye test |
€10.0 |
EOPYY
reimbursed price based on physicians reimbursed fee |
Dental
test |
€10.0 |
EOPYY
reimbursed price based on physicians reimbursed fee |
Physiotherapy |
€15.0 |
EOPYY
reimbursed price based on physicians reimbursed fee |
Speech
and language therapy |
€15.0 |
EOPYY
reimbursed price of speech and language therapy based on Greek list of
laboratory and imaging tests’ prices (Greek reference: 138/43, 127/1, ΦΕΚ 2011 - 2456/14, ΣΧΔ69/26-3- 2014 - Αγωγή λόγου-λογοθεραπεία) |
Occupational
therapy |
€15.0 |
EOPYY
reimbursed price of occupational therapy based on Greek list of laboratory
and imaging tests’ prices (Greek reference: ΦΕΚ 1233/11-04-2012, ΣΧΔ69/26-3-2014, ΦΕΚ 38-28-03-2017 - Εργοθεραπεία ενηλίκων) |
Psychotherapy |
€15.0 |
EOPYY
reimbursed price of psychotherapy based on Greek list of laboratory and
imaging tests’ prices (Greek reference: 138/43, 127/1 - Ατομική Ψυχοθεραπεία ενηλίκων από ψυχίατρο) |
One-off
costs |
|
|
Surgery
of the spine* |
€5,283.3
|
Government
Gazette 946/2012 - DRGs List - 1/3/2012 (Average of Greek DRGs-ΚΕΝ Ν03Μ, Ν03Χ, Μ06Μα, Μ06Α, Μ06Μβ, Μ06Μγ, Μ06Χ,
M09Mα, Μ09Χα, Μ09Μβ, Μ09Χβ, Μ09Μγ, Μ09Χ, Μ10Μα, Μ10Μβ, Μ10Χα, Μ10Χβ, Μ10Χγ,
Μ10Χδ) |
Tracheostomy
|
€12,000 |
Government
Gazette 946/2012 - DRGs List - 1/3/2012 (Average of Greek DRGs-ΚΕΝ Ε06Μ, Ε06Χα, Ε06Χγ) |
Gastrostomy
|
€2,834 |
Government
Gazette 946/2012 - DRGs List - 1/3/2012 (Average of Greek DRGs-ΚΕΝ Θ09Μα, Θ09Μβ, Θ09Χ) |
Orthopedic
operations |
€5,623.5 |
Government
Gazette 946/2012 - DRGs List - 1/3/2012 (Average of Greek DRGs-ΚΕΝ Φ02Μ, Φ02Χ, Μ08Μ,
Μ08Χ) |
Abbreviations: DXA,
dual-energy x-ray absorptiometry aCost is
underestimated since patients conduct more advanced technology orthopedic
operations that are not fully covered by the Social Security Fund and the
respective expenditure is 40,000€ |
Physiotherapy, speech therapy, occupational therapy, and
psychotherapy are partially reimbursed by the Government, so patients do have
to cover a portion of them, representing direct out-of-pocket payments,
illustrated in Supplementary Table 3. Further a breakdown among activities
comprising out-of-pocket costs for SMA patients can be shown in Figure 2.
Annual productivity loss for the working parent was calculated based on the daily wage of €56.7 as sourced from Hellenic Statistical Authority [33]. The annual productivity loss cost was estimated at €964.
Supplementary Table 3 Out-of-pocket costs
|
Resource |
Cost per
visit/year |
Direct |
Physiotherapy |
28.6 € |
Speech
and language therapy |
15.6 € |
|
Occupational
therapy |
13.3 € |
|
Hydrotherapy |
30.6 € |
|
Psychotherapy |
24.4 € |
|
Treatments,
tracheostomy consumables, renting of breathing devices |
€3,738.9*
|
|
Indirect |
Transportation |
€1,000* |
Personal
assistant |
€11,310* |
|
Genetic
tests |
€474* |
|
One-off
costs |
||
Adjustments
in the home, elevator, purchase of a breathing device or a vehicle for
transportation |
€8,422 |
|
|
*Resources
with an asterisk indicate a yearly value |
2.2. Assessment
of reproductive carrier screening program economic impact
We further aimed to evaluate the impact of the
implementation of an RCS program into the healthcare system and specifically to
the yearly budget. In Greece, 85,799 women were pregnant in 2021 [34]. We
assumed that all women who are pregnant would undertake the RCS program and
also that following screening, women with positive test results will terminate
the birth. Further, we assumed that the
carrier frequency is 1/40 which was based on updated unpublished data from the
Laboratory of Medical Genetics [35] leading to a possible detection of ~2,145
female carriers. In these cases, the father would also need to be screened
aggravating the budget by another 2,145 tests. Moreover, using an incidence
rate for SMA of 1:11,000 [5] it is estimated that approximately 8 births of
babies with SMA would be avoided with the use of an RCS program.
The resources necessary for the implementation of the RCS
program were assessed in the context of a massive screening for SMN1 exon 7
deletions in up to 40,000 individuals in a period of 12 months and are
presented in Supplementary Table 4. For the equipment, instead of paying
off its total cost within the first year, an approach was used whereby the
repayment of the costs was split among four installments across four years.
Supplementary Table 4 Estimated total costs of a reproductive
carrier screening program
Equipment |
Cost* (VAT 24%
included) |
Robotic DNA extraction system for extracting
DNA from DBS |
80,000.00 € |
Robotic system for high throughput Digital
PCR analysis for the quantification of SMN1/SMN2 copies |
140,000.00 € |
ABI automated sequencer (MLPA and sequencing
analysis) |
160,000.00 € |
Other |
20,000.00 € |
Total |
€400,000 |
Consumables |
|
DNA extraction & ddPCR (Quantification
of SMN1 copies) |
720,000.00 € |
Kit for MLPA |
16,500.00 € |
Tips, tubes, 96-well plates, gloves etc |
33,500.00 € |
Total |
€770,000 |
Salaries |
|
2 Full time employees (biologists) |
€50,000 |
1 Full time employees (technician) |
€16,000 |
1 Full time employees (administrative) |
€13,000 |
Total |
€79,000 |
*Cost required for a massive screening for SMN1 exon 7 deletions in up to 40,000 individuals in a period of 12 months
3. Results
3.1. Cost of illness
Participants were 41 years old on average (SD = 11.86) (range: 9-55 years) and 61% were female. The main characteristics of participants are shown in Table 3.
Table 3 Demographic characteristic of the study participants
Total n (%) |
Type I n (%) |
Type II n (%) |
Type III n (%) |
Type IV n (%) |
|
No. of patients (%) |
19 (100) |
1 (5.3) |
12 (63.2) |
4 (21.1) |
2 (10.5) |
Gender |
|||||
Female |
12 (63.2) |
1 (100.0) |
7 (58.3) |
3 (75.0) |
1 (50.0) |
Male |
7 (36.8) |
0 (0.0) |
5 (41.7) |
1 (25.0) |
1 (50.0) |
% Disability |
|||||
<67% |
1 (5.3) |
0 (0.0) |
1 (8.3) |
0 (0.0) |
0 (0.0) |
>67% |
18 (94.7) |
1(100.0) |
11 (91.7) |
4 (100.0) |
2 (100.0) |
Treatment |
|||||
Onasemnogene abeparvovec |
4 (21.1) |
4 (100.0) |
0 (0.0) |
0 (0.0) |
0 (0.0) |
Nusinersen |
12 (63.2) |
0 (0.0) |
8 (66.7) |
4 (33.3) |
2 (16.7) |
Risdiplam |
3 (15.8) |
0 (0.0) |
3 (100.0) |
0 (0.0) |
0 (0.0) |
Cost of illness comprise of the summary of direct treatment acquisition and administration costs, direct monitoring and hospitalization costs, out-of-pocket and indirect costs. Overall, the average annual cost of SMA was estimated at €261,785 per patient in 2022. Subsequently, the average annual out-of-pocket and indirect costs per patient were €20,846 (Table 4) which represents the 8% of the average annual cost.
Table 4 Per patient cost breakdown
Cost
category |
Average annual cost |
Drug acquisition
and administration costs |
€236,568 |
Monitoring
& hospitalization costs |
€4,371 |
Out of
pocket and indirect costs |
€ 20,846 |
Total |
€261,785 |
Abbreviations: HCRU, healthcare resource use |
Based on the two population scenarios with either 348 or 190 SMA patients in Greece, average annual costs were estimated at €91,036,017 and €49,739,395, respectively (Table 5).
Table 5 Cost
breakdown extrapolated to the whole population (348 patients)
Cost
category |
Average annual cost |
|
|
n=348 |
n=190 |
Drug
acquisition and administration cost |
€82,266,204 |
€45,013,981 |
Monitoring
& hospitalization costs |
€1,520,475 |
€764,589 |
Out of pocket
and indirect costs |
€7,249,338 |
€3,960,825 |
Total |
€91,036,017 |
€49,739,395 |
Abbreviations: HCRU,
healthcare resource use |
3.2. Health-related quality of life
The analysis indicated that the burden on the HRQoL of parents/ caregivers of SMA patients is high, with scores below 50 on most scales. “Worry” and “daily activities” scores were the lowest, while “cognitive functioning” scores were the highest (Table 6). It is evident that SMA contributes to the HRQoL burden of the families, even if parents of children without any health condition responded scores between 100 and 75.
Table 6 PedsQL TM FIM scores in different functioning categories
Scale |
Mean |
Median |
Total
scores |
45.0 |
40.3 |
Parent
HRQL Summary Score |
49.3 |
46.9 |
Family
Functioning Summary Score |
42.7 |
40.6 |
Physical
functioning |
41.7 |
39.6 |
Emotional
functioning |
41.5 |
37.5 |
Social
functioning |
45.9 |
40.6 |
Cognitive
functioning |
68.8 |
67.5 |
Communication |
47.9 |
50.0 |
Worry |
30.0 |
25.0 |
Daily
activities |
30.8 |
29.2 |
Family
relationships |
49.8 |
50.0 |
Abbreviations: FIM:
family impact module; HRQL: health-related quality of life; PedsQL TM:
Pediatric Quality of Life Inventory
|
3.3. Economic impact of reproductive carrier screening program implementation
The implementation of the RCS program when considering the
first scenario (78% of cases tested positive opt to stop pregnancy [26]) indicates
that investing €1,871,922 per year to test all pregnant women would lead to
cost-savings up to €167,181 per year (Table 7). After the fourth year, which is
when the disbursement of the equipment stops, the annual cost-savings are
projected to increase by an additional €100,000.
However, considering the second scenario (50% of cases
tested positive opt to stop pregnancy [25]) indicates that RCS may not prove as
cost-saving as possibly expected. This is probably due to accumulative costs of
both the implementation of the RCS and the early administration of therapies in
the pregnancies to be continued, bringing on additional costs of up to
€564,804.
Table 7 Economic
impact of a reproductive carrier screening program implementation
Economic impact of a reproductive carrier screening program |
||
Inputs to be consider |
85,799
pregnant women |
|
2,145 fathers will need to be examined |
considering
a mean carrier frequency of 1/40 |
|
8
births will be terminated
with the use of reproductive carrier screening program |
using an incidence rate for SMA
of 1:11,000 |
|
|
||
Cost of reproductive carrier
screening program testing per year |
€ 1,871,922 |
|
Costs avoided per year |
€ 2,039,103 |
|
Cost-savings per year |
€ 167,181 |
|
4. Discussion
To our knowledge this is the first study conducted in Greece
measuring the COI and HRQoL of patients with SMA and estimating the economic
impact of the implementation of an RCS program. Our results revealed a average
annual economic burden of €261,785 per patient in 2022. Applying this figure to
the prevalence rates sourced from Orphanet [4] and Kekou et al. [5] resulted to
average annual costs of €91,036,017 and €49,739,395 across all affected
patients in Greece, respectively. Out-of-pocket costs were also very high
representing approximately 8% of the total expenditure which is translated to €41,693
on average per patient.
Overall, the cost of SMA patients management accounts for
1.2% of the total health expenditure in Greece [36]. Based on the above results
and considering that the total cost per patient with diabetes (patients with
diabetes represent 10% of the total population) in Greece is equal to €7,111
per year [37, 38] we can conclude that the economic and humanistic burden of
SMA in Greece is significantly high.
Excluding treatment
acquisition and administration costs, our analysis yield results at a average
annual cost of SMA at €25,217 per patient in 2022. Lopez-Bastida et al. [13] estimated the
economic costs related to SMA from a societal perspective in Spain and found
that the average annual cost associated with SMA was €33,721. In Italy, Rumi et
al. [18] surveyed 73 patients with SMA and developed an economic model to
estimate the average annual cost per patient. Results showed that the annual
costs per patient were €19,885 excluding drug-related therapies for SMA. A
larger study in Italy by Marcellusi et al. [14] estimated an average annual per
patient cost of €15,371. Klug et al. [11] in their four-month cross-sectional
study conducted in Germany estimated that the total direct medical and
non-medical costs per patient per year were €54,721. Pena-Longobardo
et al. [17] also estimated the annual cost of SMA in UK, France and Germany and
found an average total annual cost per patient of €54,295, €32,042 and €51,983,
respectively. Armstrong et al. [6] in a similar study evaluating the resource
utilization and costs associated with SMA in United States. The authors only
included medical costs and estimated an annualized mean of total healthcare
expenditure of $47,862 ± $88,607.
Our cost estimates
(excluding the cost of treatments) are very similar to that of the study conducted
for Italy and not very much different from those conducted for Spain and
France, as described above. However, compared to
the UK, German and US studies our costs are significantly lower which may be
attributed to the different methods of accounting for direct healthcare
resources and informal care and to the inclusion of more expensive resources
(e.g., artificial nutrition systems, respiratory management) which were not
considered in our analysis.
HRQOL is another indicator through which we can define the
overall societal impact of a specific health problem. Overall, HRQoL of our
sample was low with the majority of scores in the scales falling below 50. The
scales of “Worry” and “Daily activities” were the ones with the lowest scores
while the scale of “Cognitive functioning” was the one with the highest. No
other study was identified in the literature exploring the HRQoL of parents/
guardians of patients with SMA using the PedsQL™ Family Impact Module, thus
making it difficult to compare our results with the wider literature. However,
other studies in patients with juvenile localized scleroderma [39],
developmental delays (gross motor, fine motor, speech language, cognition) [40],
malignant neoplasm in active therapy [41], sickle cell disease [42] have been
conducted using PedsQL™ Family Impact Module the results of which indicate a
better HRQoL of parents/guardians of patients with other diseases.
Results of the economic impact of the implementation of an
RCS program suggest that it would possibly be cost-saving for the Greek
National Health System, dependent of the number of families that opt to
terminate pregnancy following a positive screening result.
There are several limitations in this analysis which are
highlighted below. The first and most important limitation relates to the
sample size of our study which consisted of 19 patients. This is a relatively
small sample size which does not allow us to make safe conclusions regarding
the actual COI. However, in Greece, a single system or database capturing al
those patients suffering from Rare Disease is missing thus making the
identification of these patients very difficult. The majority of the patients
in our sample size had type II SMA and were not evenly spread across the
different types of SMA. For example, there was only one patient with type I SMA
which is considered the most frequent type. As a result, we were not able to
estimate COI per type of SMA, which would have been much more useful and
informative. Furthermore, the absence of patients with type I SMA from our
sample most likely underestimates the true COI since these patients tend to
have higher costs compared to the other types.
In the absence of newborn screening findings, which would
represent the actual prevalence of SMA in Greece, estimation of COI was based
on prevalence rates from Orphanet [4] and Kekou et al. [5]. Few simplifications
were used in our model such as the accrual of the one-off costs in the first
year. Our model also used a close cohort of patients and did not take into account
any newly diagnosed patients or patients who have passed away. A few simplified
assumptions were also used for the scenarios with the implementation of the RCS
program. For example, it was assumed that pregnant participants with affected
fetuses would discontinue their pregnancies. However, the actual number of
couples to be screened and subsequently discontinue an affected pregnancy
remains unknown and is influenced also by various social practices such as
religion. To proceed, pilot studies of RCS program
implementation will need to be performed and a cost analysis to be undertaken
following the completion of those studies.
5. Conclusion
In conclusion, a considerable economic burden exists for both healthcare system and families of SMA patients. Additionally, there is a notable impact in the QoL of those caring for SMA patients. The implementation of an RCS program could also have a positive impact to the healthcare system budget, as our research indicates, but more research and pilot tests are needed to confirm these results.
ACKNOWLEDGMENTS
The data collection for this study was supported by
unconditional grants from Astrazeneca Greece, Genesis Pharma and Takeda Hellas. No
funding was received for the preparation of this article.
CONFLICT OF INTEREST
Vasileios Kontogiannis, Mary Adamopoulou, Dimitris
Athanasiou, Georgia Moraiti and Maria Kalogeropoulou report receiving financial support
for the conduct of this study from Astrazeneca Greece, Genesis Pharma and Takeda
Hellas. Maria Kalogeropoulou, Mary Adamopoulou and Dimitris Athanasiou conceived
and designed the study. Maria Kalogeropoulou, Mary Adamopoulou, Dimitris
Athanasiou, Georgia Moraiti and Vasileios Kontogiannis designed the study
questionnaires. Vasileios Kontogiannis and Maria Kalogeropoulou analyzed the data and
all authors contributed to the interpretation of the findings. Jan Traeger-Synodinos,
Chrystallena Sofocleous and Kyriaki Kekou provided costing data for the reproductive
carrier screening program. Vasileios Kontogiannis and Marios Athanasios Loupas
drafted the first manuscript version and all authors commented on this version. Authors
state no conflict of interest. All authors read and approved the final manuscript.
1. D'Amico A.,
Mercuri E., Tiziano FD., Bertini E.: Spinal muscular atrophy. Orphanet J Rare
Dis. 2011;6:71.
2. Ogino S.,
Leonard DG., Rennert H., Ewens WJ., Wilson RB.: Genetic risk assessment in
carrier testing for spinal muscular atrophy. Am J Med Genet. 2002;110(4):301-7.
3. Prior TW.,
Snyder PJ., Rink BD. et al.: Newborn and carrier screening for spinal muscular atrophy.
Am J Med Genet A. 2010;152A(7):1608-16.
4. Orphanet:
Proximal spinal muscular atrophy. 2009 [Cited 20.09.2023] Available from: https://www.orpha.net/consor/cgi-bin/OC_Exp.php?Lng=GB&Expert=70 [Available from: https://www.orpha.net/consor/cgi-bin/Disease_Search.php?lng=EN&data_id=633&Disease_Disease_Search_diseaseGroup=70&Disease_Disease_Search_diseaseType=ORPHA&Disease(s)/group%20of%20diseases=Proximal-spinal-muscular-atrophy&title=Proximal%20spinal%20muscular%20atrophy&search=Disease_Search_Simple.
5. Kekou K.,
Svingou M., Sofocleous C. et al:. Evaluation of Genotypes and Epidemiology of
Spinal Muscular Atrophy in Greece: A Nationwide Study Spanning 24 Years. J
Neuromuscul Dis. 2020;7(3):247-56.
6. Armstrong EP.,
Malone DC., Yeh WS., Dahl GJ., Lee RL., Sicignano N.: The economic burden of
spinal muscular atrophy. J Med Econ. 2016;19(8):822-6.
7. Belter L.,
Cruz R., Kulas S., McGinnis E., Dabbous O., Jarecki J.: Economic burden of
spinal muscular atrophy: an analysis of claims data. J Mark Access Health
Policy. 2020;8(1):1843277.
8. Dangouloff T.,
Botty C., Beaudart C., Servais L., Hiligsmann M.: Systematic literature review
of the economic burden of spinal muscular atrophy and economic evaluations of
treatments. Orphanet J Rare Dis. 2021;16(1):47.
9. Darba J.:
Direct Medical Costs of Spinal Muscular Atrophy in the Catalonia Region: A
Population-Based Analysis. Clin Drug Investig. 2020;40(4):335-41.
10. Droege M.,
Sproule D., Arjunji R., Gauthier-Loiselle M., Cloutier M., Dabbous O.: Economic
burden of spinal muscular atrophy in the United States: a contemporary
assessment. J Med Econ. 2020;23(1):70-9.
11. Klug C.,
Schreiber-Katz O., Thiele S. et al.: Disease burden of spinal muscular atrophy
in Germany. Orphanet J Rare Dis. 2016;11(1):58.
12. Landfeldt E.,
Pechmann A., McMillan HJ., Lochmuller H., Sejersen T.: Costs of Illness of
Spinal Muscular Atrophy: A Systematic Review. Appl Health Econ Health Policy.
2021;19(4):501-20.
13. Lopez-Bastida
J., Pena-Longobardo LM., Aranda-Reneo I, Tizzano E., Sefton M., Oliva-Moreno J.:
Social/economic costs and health-related quality of life in patients with
spinal muscular atrophy (SMA) in Spain. Orphanet J Rare Dis. 2017;12(1):141.
14. Marcellusi A.,
Bini C., Casiraghi J. et al.: Cost of illness of spinal muscular atrophy (SMA)
in Italy. Global & Regional Health Technology Assessment. 2019;6(1).
15. McMillan HJ.,
Gerber B., Cowling T et al.: Burden of Spinal Muscular Atrophy (SMA) on
Patients and Caregivers in Canada. J Neuromuscul Dis. 2021;8(4):553-68.
16. Paracha N.,
Hudson P., Mitchell S., Sutherland CS.: Systematic Literature Review to Assess
the Cost and Resource Use Associated with Spinal Muscular Atrophy Management.
Pharmacoeconomics. 2022;40(Suppl 1):11-38.
17. Pena-Longobardo
LM., Aranda-Reneo I., Oliva-Moreno J. et al.: The Economic Impact and
Health-Related Quality of Life of Spinal Muscular Atrophy. An Analysis across
Europe. Int J Environ Res Public Health. 2020;17(16).
18. Rumi F.,
Calabrò GE., Coratti G. et al.: POSC70 The Economic and Social Burden of Spinal
Muscular Atrophy (SMA) in the Italian Context. Value in Health.
2022;25(1):S100.
19. Little SE.,
Janakiraman V., Kaimal A., Musci T., Ecker J., Caughey AB.: The
cost-effectiveness of prenatal screening for spinal muscular atrophy. Am J
Obstet Gynecol. 2010;202(3):253 e1-7.
20. Hellenic
Statistical Authority (ELSTAT): Population-Housing Census. 2021 [Cited
20.09.2023] Available from:
https://www.statistics.gr/en/2021-census-pop-hous [Available from:
https://elstat-outsourcers.statistics.gr/Census2022_GR.pdf.
21. Government
gazette: FEK 946/27-03-2012. 2012 [cited 20.09.2023]
22. Beksac MS.,
Tanacan A., Aydin Hakli D. et al.: Gestational Outcomes of Pregnant Women Who
Have Had Invasive Prenatal Testing for the Prenatal Diagnosis of Duchenne
Muscular Dystrophy. J Pregnancy. 2018;2018:9718316.
23. Su YN., Hung
CC., Lin SY., et al. Carrier screening for spinal muscular atrophy (SMA) in
107,611 pregnant women during the period 2005-2009: a prospective
population-based cohort study. PLoS One. 2011;6(2):e17067.
24. Zhang J.,
Wang Y., Ma D et al.: Carrier Screening and Prenatal Diagnosis for Spinal
Muscular Atrophy in 13,069 Chinese Pregnant Women. J Mol Diagn.
2020;22(6):817-22.
25. Singer A.,
Sagi-Dain L.: Impact of a national genetic carrier-screening program for
reproductive purposes. Acta Obstet Gynecol Scand. 2020;99(6):802-8.
26. Souka AP.,
Michalitsi VD., Skentou H. et al.: Attitudes of pregnant women regarding
termination of pregnancy for fetal abnormality. Prenat Diagn.
2010;30(10):977-80.
27. Varni JW.,
Sherman SA., Burwinkle TM., Dickinson PE., Dixon P.: The PedsQL Family Impact
Module: preliminary reliability and validity. Health Qual Life Outcomes.
2004;2:55.
28. European
Medicines Agency (EMA): Spinraza, EPAR - Product Information. 2023 [Cited
20.09.2023] Available from:
https://www.ema.europa.eu/en/documents/product-information/spinraza-epar-product-information_en.pdf
[
29. European
Medicines Agency (EMA): Evrysdi, EPAR - Product Information. 2023 [Cited
20.09.2023] Available from:
https://www.ema.europa.eu/en/documents/product-information/evrysdi-epar-product-information_en.pdf
30. European
Medicines Agency (EMA): Zolgensma, EPAR - Product Information. 2023 [Cited
20.09.2023] Available from:
https://www.ema.europa.eu/en/documents/product-information/zolgensma-epar-product-information_en.pdf
31. Greek
Ministry of Health: Drug price bulletin, published 16.12.2022 [Cited 20.09.2023].
Available from: http://www.moh.gov.gr/articles/times-farmakwn/deltia-timwn.
32. Government
gazette: FEK 2150/27-09-2011. 2011 [cited 25.09.2023]
33. Hellenic
Statistical Authority (ELSTAT): Per Capita Sizes: GDP and National Income. 2021
[Cited 20.09.2023] Available from:
https://www.statistics.gr/el/statistics/-/publication/SEL33/ [Internet].
34. Hellenic
Statistical Authority (ELSTAT): Births - Absolute numbers and percentages. 2021
[Cited 20.09.2023] Available from: https://www.statistics.gr/en/statistics/-/publication/SPO03/
[Available from: https://www.statistics.gr/el/statistics/-/publication/SPO03/-.
35. Laboratory of
Medical Genetics. 2022 [Cited 20.09.2023] Available from: Data on file
[Internet].
36. Foundation
for Economic & Industrial Research: The pharmaceutical market in Greece -
Facts & Data. 2021 [Cited 20.09.2023] Available from: data on file
[Internet].
37. Makrilakis K.,
Kalpourtzi N., Ioannidis I. et al.: Prevalence of diabetes and pre-diabetes in
Greece. Results of the First National Survey of Morbidity and Risk Factors
(EMENO) study. Diabetes Res Clin Pract. 2021;172:108646.
38. Migdalis I.,
Rombopoulos G., Hatzikou M., Manes C., Kypraios N., Tentolouris N.: The Cost of
Managing Type 2 Diabetes Mellitus in Greece: A Retrospective Analysis of
10-Year Patient Level Data "The HERCULES Study". Int J Endocrinol.
2015;2015:520759.
39. Milovanova K.,
Adly M., Lethebe BC., Stevenson R., Prajapati VH., Luca NJ.: Predictors of
family impact of juvenile localized scleroderma. Pediatric Dermatology.
2021;38(5):1137-42.
40. Hsieh R.,
Huang H., Lin M., Wu C., Lee WC.: Quality of life, health satisfaction and
family impact on caregivers of children with developmental delays. Child: care,
health and development. 2009;35(2):243-9.
41. Scarpelli AC.,
Paiva SM., Pordeus IA., Varni JW., Viegas CM., Allison PJ.: The Pediatric
Quality of Life Inventory™(PedsQL™) family impact module: reliability and
validity of the Brazilian version. Health and Quality of Life Outcomes.
2008;6:1-8.
42. Panepinto JA.,
Hoffmann RG., Pajewski NM.: A psychometric evaluation of the PedsQL™ Family
Impact Module in parents of children with sickle cell disease. Health and
quality of life outcomes. 2009;7(1):1-11.