Healthcare burden of rare diseases in Hong Kong – adopting ORPHAcodes in ICD-10 based healthcare administrative datasets

Abstract Background The burden of rare diseases is important for healthcare planning but difficult to estimate. This has been facilitated by the development of ORPHAcodes, a comprehensive classification and coding system for rare diseases developed by the international consortium Orphanet, with cros...

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Main Authors: Annie Ting Gee Chiu, Claudia Ching Yan Chung, Wilfred Hing Sang Wong, So Lun Lee, Brian Hon Yin Chung
Format: Article
Language:English
Published: BMC 2018-08-01
Series:Orphanet Journal of Rare Diseases
Subjects:
Online Access:http://link.springer.com/article/10.1186/s13023-018-0892-5
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spelling doaj-17ae8a9a46544d9eba7635a1146b4d362020-11-25T00:40:41ZengBMCOrphanet Journal of Rare Diseases1750-11722018-08-011311810.1186/s13023-018-0892-5Healthcare burden of rare diseases in Hong Kong – adopting ORPHAcodes in ICD-10 based healthcare administrative datasetsAnnie Ting Gee Chiu0Claudia Ching Yan Chung1Wilfred Hing Sang Wong2So Lun Lee3Brian Hon Yin Chung4Department of Paediatrics and Adolescent Medicine, Queen Mary HospitalDepartment of Paediatrics and Adolescent Medicine, The University of Hong KongDepartment of Paediatrics and Adolescent Medicine, The University of Hong KongDepartment of Paediatrics and Adolescent Medicine, The University of Hong KongDepartment of Paediatrics and Adolescent Medicine, The University of Hong KongAbstract Background The burden of rare diseases is important for healthcare planning but difficult to estimate. This has been facilitated by the development of ORPHAcodes, a comprehensive classification and coding system for rare diseases developed by the international consortium Orphanet, with cross-references to the 10th version of the International Classification of Diseases and Related Health Problems (ICD-10). A recent study in Western Australia made use of this cross-referencing to identify rare diseases-related admissions in health administrative datasets. Such methodology was adopted in Hong Kong, which has a population of 7 million comprising of 92% ethnic Chinese, with over 80% of admissions taking place in the public hospitals and available for review from the local public healthcare database. Main body Our objective was to identify the inpatient healthcare burden of rare diseases in Hong Kong. We extracted admission records of all patients coded with one or more of the 1084 ICD-10 codes cross referenced with 467 ORPHAcodes during the study period from 1st January 2005 to 31st December 2016. We further analysed rare disease-related inpatient healthcare cost using a subset of patients admitted during 1st April 2015 – 31st March 2016. A total number of 546,673 admissions were identified, representing 3.2% of total admissions during the study period. By the end of the study, 109,535 patients were alive, representing 1.5% of the overall population. Prevalence of rare diseases was found to be 1 in 67 in the Hong Kong population. The most common rare disease category in the paediatric age group was ‘rare developmental defect during embryogenesis’; whereas that amongst adults was ‘rare haematologic disease’. The aforementioned subset of patients accounted for 330,091 inpatient-days, placing the estimated total inpatient cost for rare disease population at HKD$1,594,339,530 i.e. 4.3% of total inpatient cost in 2015–2016. Conclusion Cross referencing between ICD-10 and ORPHAcodes may be adopted in different healthcare datasets for international comparison. Despite differences in the prevalence of individual disease, the disparity between rare disease prevalence (1.5%) and associated inpatient cost (4.3%) in Hong Kong reflects the importance of rare diseases in healthcare policies.http://link.springer.com/article/10.1186/s13023-018-0892-5Rare diseasesORPHAcodesICD-10Disease burdenPrevalenceInpatient cost
collection DOAJ
language English
format Article
sources DOAJ
author Annie Ting Gee Chiu
Claudia Ching Yan Chung
Wilfred Hing Sang Wong
So Lun Lee
Brian Hon Yin Chung
spellingShingle Annie Ting Gee Chiu
Claudia Ching Yan Chung
Wilfred Hing Sang Wong
So Lun Lee
Brian Hon Yin Chung
Healthcare burden of rare diseases in Hong Kong – adopting ORPHAcodes in ICD-10 based healthcare administrative datasets
Orphanet Journal of Rare Diseases
Rare diseases
ORPHAcodes
ICD-10
Disease burden
Prevalence
Inpatient cost
author_facet Annie Ting Gee Chiu
Claudia Ching Yan Chung
Wilfred Hing Sang Wong
So Lun Lee
Brian Hon Yin Chung
author_sort Annie Ting Gee Chiu
title Healthcare burden of rare diseases in Hong Kong – adopting ORPHAcodes in ICD-10 based healthcare administrative datasets
title_short Healthcare burden of rare diseases in Hong Kong – adopting ORPHAcodes in ICD-10 based healthcare administrative datasets
title_full Healthcare burden of rare diseases in Hong Kong – adopting ORPHAcodes in ICD-10 based healthcare administrative datasets
title_fullStr Healthcare burden of rare diseases in Hong Kong – adopting ORPHAcodes in ICD-10 based healthcare administrative datasets
title_full_unstemmed Healthcare burden of rare diseases in Hong Kong – adopting ORPHAcodes in ICD-10 based healthcare administrative datasets
title_sort healthcare burden of rare diseases in hong kong – adopting orphacodes in icd-10 based healthcare administrative datasets
publisher BMC
series Orphanet Journal of Rare Diseases
issn 1750-1172
publishDate 2018-08-01
description Abstract Background The burden of rare diseases is important for healthcare planning but difficult to estimate. This has been facilitated by the development of ORPHAcodes, a comprehensive classification and coding system for rare diseases developed by the international consortium Orphanet, with cross-references to the 10th version of the International Classification of Diseases and Related Health Problems (ICD-10). A recent study in Western Australia made use of this cross-referencing to identify rare diseases-related admissions in health administrative datasets. Such methodology was adopted in Hong Kong, which has a population of 7 million comprising of 92% ethnic Chinese, with over 80% of admissions taking place in the public hospitals and available for review from the local public healthcare database. Main body Our objective was to identify the inpatient healthcare burden of rare diseases in Hong Kong. We extracted admission records of all patients coded with one or more of the 1084 ICD-10 codes cross referenced with 467 ORPHAcodes during the study period from 1st January 2005 to 31st December 2016. We further analysed rare disease-related inpatient healthcare cost using a subset of patients admitted during 1st April 2015 – 31st March 2016. A total number of 546,673 admissions were identified, representing 3.2% of total admissions during the study period. By the end of the study, 109,535 patients were alive, representing 1.5% of the overall population. Prevalence of rare diseases was found to be 1 in 67 in the Hong Kong population. The most common rare disease category in the paediatric age group was ‘rare developmental defect during embryogenesis’; whereas that amongst adults was ‘rare haematologic disease’. The aforementioned subset of patients accounted for 330,091 inpatient-days, placing the estimated total inpatient cost for rare disease population at HKD$1,594,339,530 i.e. 4.3% of total inpatient cost in 2015–2016. Conclusion Cross referencing between ICD-10 and ORPHAcodes may be adopted in different healthcare datasets for international comparison. Despite differences in the prevalence of individual disease, the disparity between rare disease prevalence (1.5%) and associated inpatient cost (4.3%) in Hong Kong reflects the importance of rare diseases in healthcare policies.
topic Rare diseases
ORPHAcodes
ICD-10
Disease burden
Prevalence
Inpatient cost
url http://link.springer.com/article/10.1186/s13023-018-0892-5
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