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Article: The Variation of Psychopharmacological Prescription Rates for People With Autism Spectrum Disorder (ASD) in 30 Countries

TitleThe Variation of Psychopharmacological Prescription Rates for People With Autism Spectrum Disorder (ASD) in 30 Countries
Authors
KeywordsGross Domestic Product
Multinational study
Psychopharmacology; epidemiology
Issue Date2014
PublisherJohn Wiley & Sons, Inc.. The Journal's web site is located at http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1939-3806
Citation
Autism Research (Online), 2014, v. 7 n. 5, p. 543-554 How to Cite?
AbstractThere is significant variation in prescriptions among countries in clinical practice for the treatment of comorbidities associated with autism spectrum disorder (ASD). It has been suggested that many people with mental health disorders in low-/middle-income countries do not receive adequate treatment. Hence, this study investigated psychopharmacological treatment patterns for ASD comorbidities in 30 countries and the association between country's income and prescription rates. The IMS Prescribing Insights database was used to investigate prescription patterns for ASD comorbidity treatment from 2007 to 2012. Data were obtained from 30 countries in continents of Europe, Asia, Oceania, Central America, South America, and Africa. The gross domestic product (GDP) per capita was used as a proxy for each country's income. Spearman correlation was used to examine the association between prescription rate and GDP per capita. The highest prescription rates were found in Western Europe (3.89-36.36/10,000) while the lowest prescription rates were found in Asian countries, such as Turkey, Indonesia, Saudi Arabia, and Pakistan (0.04-0.82/10,000). The most commonly prescribed drug for ASD comorbidity treatment in most of the countries was risperidone, but antidepressants and antiepileptic drugs were also frequently prescribed. There was a significant positive correlation between GDP per capita and prescription rate (Spearman ρ = 0.60; P = 0.0011; 95% confidence interval 0.27-0.81), that is, the higher the GDP per capita, the higher the prescription rate. There are marked international differences in prescription rates, and this is partially accounted by economic factors. Future research should combine more data for ASD comorbidity treatment to explore the disparity of psychopharmacological treatment between countries. © 2014 International Society for Autism Research, Wiley Periodicals, Inc.
DescriptionResearch article
Persistent Identifierhttp://hdl.handle.net/10722/200783
ISSN
2021 Impact Factor: 4.633
2020 SCImago Journal Rankings: 1.656
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorWong, AYS-
dc.contributor.authorHsia, YF-
dc.contributor.authorChan, EW-
dc.contributor.authorMurphy, DGM-
dc.contributor.authorSimonoff, E-
dc.contributor.authorBuitelaar, JK-
dc.contributor.authorWong, ICK-
dc.date.accessioned2014-08-21T07:01:04Z-
dc.date.available2014-08-21T07:01:04Z-
dc.date.issued2014-
dc.identifier.citationAutism Research (Online), 2014, v. 7 n. 5, p. 543-554-
dc.identifier.issn1939-3806-
dc.identifier.urihttp://hdl.handle.net/10722/200783-
dc.descriptionResearch article-
dc.description.abstractThere is significant variation in prescriptions among countries in clinical practice for the treatment of comorbidities associated with autism spectrum disorder (ASD). It has been suggested that many people with mental health disorders in low-/middle-income countries do not receive adequate treatment. Hence, this study investigated psychopharmacological treatment patterns for ASD comorbidities in 30 countries and the association between country's income and prescription rates. The IMS Prescribing Insights database was used to investigate prescription patterns for ASD comorbidity treatment from 2007 to 2012. Data were obtained from 30 countries in continents of Europe, Asia, Oceania, Central America, South America, and Africa. The gross domestic product (GDP) per capita was used as a proxy for each country's income. Spearman correlation was used to examine the association between prescription rate and GDP per capita. The highest prescription rates were found in Western Europe (3.89-36.36/10,000) while the lowest prescription rates were found in Asian countries, such as Turkey, Indonesia, Saudi Arabia, and Pakistan (0.04-0.82/10,000). The most commonly prescribed drug for ASD comorbidity treatment in most of the countries was risperidone, but antidepressants and antiepileptic drugs were also frequently prescribed. There was a significant positive correlation between GDP per capita and prescription rate (Spearman ρ = 0.60; P = 0.0011; 95% confidence interval 0.27-0.81), that is, the higher the GDP per capita, the higher the prescription rate. There are marked international differences in prescription rates, and this is partially accounted by economic factors. Future research should combine more data for ASD comorbidity treatment to explore the disparity of psychopharmacological treatment between countries. © 2014 International Society for Autism Research, Wiley Periodicals, Inc.-
dc.languageeng-
dc.publisherJohn Wiley & Sons, Inc.. The Journal's web site is located at http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1939-3806-
dc.relation.ispartofAutism Research (Online)-
dc.rightsAutism Research (Online). Copyright © John Wiley & Sons, Inc..-
dc.subjectGross Domestic Product-
dc.subjectMultinational study-
dc.subjectPsychopharmacology; epidemiology-
dc.titleThe Variation of Psychopharmacological Prescription Rates for People With Autism Spectrum Disorder (ASD) in 30 Countries-
dc.typeArticle-
dc.identifier.emailChan, EW: ewchan@hku.hk-
dc.identifier.emailWong, ICK: wongick@hku.hk-
dc.identifier.authorityChan, EW=rp01587-
dc.identifier.authorityWong, ICK=rp01480-
dc.identifier.doi10.1002/aur.1391-
dc.identifier.pmid24895332-
dc.identifier.scopuseid_2-s2.0-84931471107-
dc.identifier.hkuros233689-
dc.identifier.volume7-
dc.identifier.issue5-
dc.identifier.spage543-
dc.identifier.epage554-
dc.identifier.isiWOS:000343971300003-
dc.publisher.placeUnited States-
dc.identifier.issnl1939-3806-

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