Author
Abstract
Multiple sclerosis (MS) is a chronic, disabling, and progressive illness, representing one of the most common causes of neurological disability in young and middle-aged adults. There is not a definitive treatment for MS yet. However, disease-modifying drugs (DMDs) for MS, which include interferon-beta and copolymer-1 have shown to be effective in reducing the frequency and severity of relapses and the progression of disability. The clinical efficacy of such therapies has been well documented in the medical literature. Instead, the factors underlying the decision to start the pharmacological treatment, to continue it or to drop out, have not been studied so far. Adverse drug effects, as well as patients’ emotional states, therapeutic expectations, the need to assume the medicines very often, and lack of communication with medical staff, are some of the elements affecting patients’ adherence to the therapy. Data from medical records of 567 MS patients referred to the MS Centre of the IRCCS Centro Studi Neurolesi (Messina) between the years 2001-2008 have been retrospectively analyzed in a first phase. Factors influencing patient decision to start a pharmacological treatment with DMDs, in agreement with the neurologist suggestion, have been evaluated by applying a multinomial logit model. The second phase of the study was cross-sectional and analyzed the data obtained through a questionnaire administered to consecutive outpatients referred to Centro Studi Neurolesi within March and May 2009 (n = 143). The probability to proceed in the treatment or to drop out was estimated through a probit model. The present research constitutes a novelty among the existing economic and medical literature: in fact, there are no, so far, studies evaluating factors underlying MS patients’ decision to undergo a pharmacological treatment and to proceed it according to medical protocols. Moreover, a significant expenditure for health care systems is associated to MS treatment, both for patients who undergo the treatment (cost of medicines, productivity losses for patients who experience severe side effects, etc.) and for those who do not take the medicine or take it discontinuously. Given the documented evidence of augmenting costs (direct and indirect) with increasing disease severity, the ability of the DMDs to reduce relapse rates and slow the progression of MS may help to offset the cost of these therapies. Conversely, delayed treatment or poor compliance can dramatically increase costs and reduce benefits.
Suggested Citation
Lara Gitto, 2010.
"Multiple sclerosis patients' preferences: a preliminary study on disease awareness and perception,"
DEMQ Working Paper Series
2010/3, University of Catania, Department of Economics and Quantitative Methods.
Handle:
RePEc:ris:demqwp:2010_003
Download full text from publisher
More about this item
Keywords
;
;
;
;
JEL classification:
- C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
- D89 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Other
- I19 - Health, Education, and Welfare - - Health - - - Other
NEP fields
This paper has been announced in the following
NEP Reports:
Statistics
Access and download statistics
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ris:demqwp:2010_003. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Luigi Bonaventura (email available below). General contact details of provider: https://edirc.repec.org/data/fecatit.html .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.