| Literature DB >> 35604465 |
Mario Alberto Battaglia1,2, Daiana Bezzini2, Isabella Cecchini3, Cinzia Cordioli4, Francesca Fiorentino3, Tommaso Manacorda1,5, Mihaela Nica6, Michela Ponzio1, Daniela Ritrovato6, Chiara Vassallo7, Francesco Patti8.
Abstract
BACKGROUND: Multiple sclerosis (MS) is a chronic neuroinflammatory and neurodegenerative disease negatively impacting patients' physical, psychological and social well-being with a significant economic burden.Entities:
Keywords: Burden of illness; Cost of illness; Healthcare costs; Italy; Multiple sclerosis; Payer
Mesh:
Year: 2022 PMID: 35604465 PMCID: PMC9124746 DOI: 10.1007/s00415-022-11169-w
Source DB: PubMed Journal: J Neurol ISSN: 0340-5354 Impact factor: 6.682
Indirect costs included in the analysis
| Patient/caregiver category | Cost category | Description |
|---|---|---|
| Employed patient | Presenteeism | Productivity loss caused by MS impact on time spent at work in terms of quality and quantity of work done: valued multiplying gross salary and patients’ declared lack of productivity due to MSa expressed as percentage |
| Absenteeism | Productivity loss due to hours of leave: valued multiplying number of hours lost due to MS (exams, visits, etc.) and the gross salary per hour, net of presenteeism effect | |
| Salary decrease | Productivity loss caused by a decrease in salary due to MS: valued as difference between previous and current gross annual salary, when reduction was reported as associated to MS | |
| Inactive patients | Lower participation to the job market | Productivity loss due to due to patients’ inactivity: valued as gross yearly salary before leaving job due to MS |
| Studying patients | Delayed entrance in the job market | Productivity loss caused by studying patients’ lower employment due to MS: valued considering the annual gross salaryb multiplied by the employment ratec of an average person with the same socio-demographic characteristics (in terms of sex and age group) |
| Retired patients | Early retirement | Productivity loss caused by early retirement: valued considering the patients’ gross yearly salary before retirement for retired patients 65 years old or younger |
| Employed caregivers | Absenteeism | Productivity loss due to hours of work leave (Legge 104/92)d to support MS patients: valued multiplying the gross salary per hour of an average person with the time lost for accompanying the patients to exams, visits, etc |
| Leisure time dedicated to patients | Caregivers’ leisure time lost taking care of patients with MS: valued from net salary per hour multiplied by the number of hours dedicated to patients, with a cap of 8 h per day maximume | |
| Inactive caregivers | Lower participation to the job market | Productivity loss caused by caregivers’ early exit from the job market because of patients’ MS requiring caregivers’ support: valued as caregivers’ gross yearly salary before leaving job |
| Leisure time dedicated to patients | Caregivers’ leisure time lost taking care of patients with MS: valued from average net disposable income in Italyb per hour multiplied by the number of hours dedicated to patients, with a cap of 8 h per day7 |
Methodological note: when present, the salary self-reported by the patients or by the caregiver was used; when not reported, if feasible, the reported average salary of patients or caregivers with the same socio-demographic characteristics (in terms of gender and age cluster) was used; finally, if salary was not reported neither for the patient (caregiver) nor for the patients (caregivers) with the same socio-demographic characteristics, ISTAT data were usedb
MS multiple sclerosis
aWork Productivity and Activity Impairment Questionnaire: General Health (WPAI:GH); Italian version
bJP Salary Outlook 2020. L’analisi del mercato retributivo italiano
cTasso di occupazione—dati trimestrali destagionalizzati. I.stat, http://dati.istat.it/Index.aspx?QueryId=23244# (Accessed 5 March 2021)
dINPS, https://www.inps.it/prestazioni-servizi/indennita-per-permessi-fruiti-dai-lavoratori-per-assistere-familiari-disabili-in-situazione-di-gravita-o-fruiti-dai-lavoratori-disabili-medesimi (Accessed 2 December 2021)
eBattaglia et al. [7]
Patients’ characteristics and burden of illness
| Mild MS | Moderate MS | Severe MS | Total patients (extrapolated data) | |
|---|---|---|---|---|
| No. of observations | 540 | 265 | 130 | 122,100 |
| Men (% of patients) | 27% | 41% | 48% | 36% |
| Mean age of responders (years) | 42 | 53 | 56 | 49 |
| Mean age at diagnosis (years) | 32 | 37 | 36 | 35 |
| Mean age at first symptoms (years) | 29 | 33 | 31 | 31 |
| Level of education (% of patients) | ||||
| Primary | 8% | 12% | 21% | 12% |
| Diploma | 50% | 56% | 49% | 52% |
| Graduated or higher degree | 42% | 32% | 31% | 36% |
| Type of MS (% of patients) | ||||
| Primary progressive (MS-PP) | 6% | 21% | 25% | 15% |
| Secondary progressive (MS-SP) | 2% | 30% | 61% | 23% |
| Relapsing–remitting (MS-RR) | 89% | 48% | 14% | 60% |
| Clinical isolated syndrome (CIS) or radiologically isolated syndrome (RIS) | 4% | 1% | 0% | 2% |
| MS impact on every-day life (% of patients) | ||||
| Highly | 7% | 36% | 78% | 29% |
| Quite highly | 23% | 46% | 17% | 33% |
| Moderately | 31% | 14% | 4% | 20% |
| A little | 30% | 4% | 1% | 15% |
| Not at all | 9% | 0% | 0% | 4% |
| Symptoms impacting patients’ every-day life the most (% of patients) | ||||
| Fatigue | 70% | 75% | 57% | 70% |
| Equilibrium | 16% | 50% | 34% | 34% |
| Urinary problems | 19% | 37% | 47% | 31% |
| Impaired sensitivity | 15% | 12% | 10% | 13% |
| Memory and concentration problems | 26% | 16% | 9% | 19% |
| Spasticity | 4% | 21% | 45% | 17% |
| Pain | 8% | 18% | 19% | 14% |
| Intestinal problems | 6% | 9% | 16% | 9% |
| Visual problems | 10% | 7% | 9% | 9% |
| Main aspects impacting quality of life (% of patients) | ||||
| Physical fatigue | 60% | 84% | 85% | 74% |
| Impact on life plans | 52% | 74% | 84% | 65% |
| Physical difficulties | 26% | 84% | 97% | 61% |
| Difficulties in moving and traveling | 19% | 69% | 86% | 50% |
| Social and relational life | 28% | 60% | 77% | 49% |
MS multiple sclerosis, EDSS expanded disability status scale
Mean annual cost per patient by disease severity in 2019
| Type of cost | Mild MS | Moderate MS | Severe MS | Total patients (extrapolated data) | |
|---|---|---|---|---|---|
| Total costs | 29,676€ (15,050€) | 43,464€ (24,325€) | 53,454€ (29,397€) | 39,307€ (23,583€) | < 0.01 |
| Direct healthcare costs | 20,253€ (9,673€) | 21,869€ (12,420€) | 20,915€ (14,377€) | 21,069€ (11,719€) | < 0.05 |
| Hospitalizations | 199€ (1,494€) | 441€ (1,555€) | 741€ (2,092€) | 387€ (1,630€) | 0.107 |
| Rehabilitation at home | 26€ (193€) | 199€ (622€) | 647€ (993€) | 194€ (610€) | < 0.01 |
| Day hospital/outpatients | 1,975€ (3,964€) | 2,963€ (5,078€) | 2,478€ (5,662€) | 2,489€ (4,768€) | < 0.05 |
| Extra visits | 63€ (188€) | 115€ (286€) | 137€ (298€) | 97€ (254€) | < 0.05 |
| Exams | 403€ (273€) | 435€ (339€) | 296€ (328€) | 402€ (315€) | < 0.01 |
| Therapies | 17,549€ (8,304€) | 16,570€ (10,082€) | 12,826€ (10,894€) | 16,419€ (9,643€) | < 0.01 |
| External aids/orthoses | 39€ (204€) | 1,146€ (2,102€) | 3,790€ (3,839€) | 1,083€ (2,378€) | < 0.01 |
| Direct non-healthcare costs | 731€ (1,599€) | 3,301€ (9,878€) | 9,979€ (17,061€) | 3,234€ (9,803€) | < 0.01 |
| Transport | 253€ (595€) | 327€ (620€) | 379€ (925€) | 304€ (665€) | < 0.01 |
| Paid assistance | 371€ (1,187€) | 1,341€ (2,682€) | 6,110€ (9,002€) | 1,646€ (4,386€) | < 0.01 |
| Car/house modification | 107€ (813€) | 1,633€ (9,394€) | 3,489€ (15,288€) | 1,283€ (8,654€) | < 0.01 |
| Indirect costs | 8,692€ (11,186€) | 18,294€ (16,842€) | 22,561€ (15,093€) | 15,004€ (15,481€) | < 0.01 |
| Patients’ indirect costs | 7,272€ (10,064€) | 14,042€ (15,227€) | 13,791€ (12,363€) | 11,243€ (13,320€) | < 0.01 |
| Caregivers’ indirect costs | 1,420€ (3,792€) | 4,252€ (6,693€) | 8,770€ (8,443€) | 3,760€ (6,495€) | < 0.01 |
MS multiple sclerosis, EDSS Expanded Disability Status Scale, SD standard deviation
aSignificancy of difference between disability levels was tested through non-parametric Kruskal Wallis statistical test; p value < 0.05 was used for significance
Fig. 1Mean annual cost per patient by disability level in 2019
Fig. 2Direct multiple sclerosis costs according to main payer