Validation of Diagnostic Coding for Asthma in an Electronic Health Record System in Hong Kong
Electronic health record (EHR) databases can facilitate epidemiology research into various diseases including asthma. Given the diagnostic challenges of asthma, the validity of the coding in EHR requires clarification. We aimed to assess the validity of International Classification of Diseases, 9th...
Saved in:
| Published in | Journal of asthma and allergy Vol. 16; pp. 315 - 321 |
|---|---|
| Main Authors | , , , , |
| Format | Journal Article |
| Language | English |
| Published |
New Zealand
Dove Medical Press Limited
01.01.2023
Taylor & Francis Ltd Dove Dove Medical Press |
| Subjects | |
| Online Access | Get full text |
| ISSN | 1178-6965 1178-6965 |
| DOI | 10.2147/JAA.S405297 |
Cover
| Abstract | Electronic health record (EHR) databases can facilitate epidemiology research into various diseases including asthma. Given the diagnostic challenges of asthma, the validity of the coding in EHR requires clarification. We aimed to assess the validity of International Classification of Diseases, 9th Revision (ICD-9) code algorithms for identifying asthma in the territory-wide electronic medical health record system of the Clinical Data Analysis and Reporting System (CDARS) in Hong Kong.
Adult patients who had the diagnosis of asthma input from all public hospitals in Hong Kong and those from Queen Mary Hospital in 2011-2020 were identified using the ICD-9 code of 493 (493.0, 493.1, 493.2, and 493.9) by CDARS. Patients' clinical record and spirometry were reviewed by two respiratory specialists to confirm the presence of asthma in the randomly selected cases.
There were 43,454 patients who had the diagnostic code of asthma among all public hospitals in Hong Kong and 1852 in Queen Mary Hospital in the same period. A total of 200 cases were randomly selected and validated using medical record and spirometry review by a respiratory specialist. The overall positive predictive value (PPV) was 85.0% (95% CI 80.1-89.9%).
This was the first ICD-9 code validation for CDARS (EHR) in Hong Kong on asthma. Our study demonstrated that using ICD-9 code (493.0, 493.1, 493.2 and 493.9) to identify asthma can result in a PPV that was reliable to support the utility of the CDARS database for further research on asthma among the Hong Kong population. |
|---|---|
| AbstractList | Background: Electronic health record (EHR) databases can facilitate epidemiology research into various diseases including asthma. Given the diagnostic challenges of asthma, the validity of the coding in EHR requires clarification. We aimed to assess the validity of International Classification of Diseases, 9th Revision (ICD-9) code algorithms for identifying asthma in the territory-wide electronic medical health record system of the Clinical Data Analysis and Reporting System (CDARS) in Hong Kong. Methods: Adult patients who had the diagnosis of asthma input from all public hospitals in Hong Kong and those from Queen Mary Hospital in 2011-2020 were identified using the ICD-9 code of 493 (493.0, 493.1, 493.2, and 493.9) by CDARS. Patients' clinical record and spirometry were reviewed by two respiratory specialists to confirm the presence of asthma in the randomly selected cases. Results: There were 43,454 patients who had the diagnostic code of asthma among all public hospitals in Hong Kong and 1852 in Queen Mary Hospital in the same period. A total of 200 cases were randomly selected and validated using medical record and spirometry review by a respiratory specialist. The overall positive predictive value (PPV) was 85.0% (95% CI 80.1-89.9%). Conclusion: This was the first ICD-9 code validation for CDARS (EHR) in Hong Kong on asthma. Our study demonstrated that using ICD-9 code (493.0, 493.1, 493.2 and 493.9) to identify asthma can result in a PPV that was reliable to support the utility of the CDARS database for further research on asthma among the Hong Kong population. Keywords: asthma, algorithms, EHR, electronic health record, validation Electronic health record (EHR) databases can facilitate epidemiology research into various diseases including asthma. Given the diagnostic challenges of asthma, the validity of the coding in EHR requires clarification. We aimed to assess the validity of International Classification of Diseases, 9th Revision (ICD-9) code algorithms for identifying asthma in the territory-wide electronic medical health record system of the Clinical Data Analysis and Reporting System (CDARS) in Hong Kong. Adult patients who had the diagnosis of asthma input from all public hospitals in Hong Kong and those from Queen Mary Hospital in 2011-2020 were identified using the ICD-9 code of 493 (493.0, 493.1, 493.2, and 493.9) by CDARS. Patients' clinical record and spirometry were reviewed by two respiratory specialists to confirm the presence of asthma in the randomly selected cases. There were 43,454 patients who had the diagnostic code of asthma among all public hospitals in Hong Kong and 1852 in Queen Mary Hospital in the same period. A total of 200 cases were randomly selected and validated using medical record and spirometry review by a respiratory specialist. The overall positive predictive value (PPV) was 85.0% (95% CI 80.1-89.9%). This was the first ICD-9 code validation for CDARS (EHR) in Hong Kong on asthma. Our study demonstrated that using ICD-9 code (493.0, 493.1, 493.2 and 493.9) to identify asthma can result in a PPV that was reliable to support the utility of the CDARS database for further research on asthma among the Hong Kong population. Wang Chun Kwok,1 Terence Chi Chun Tam,1 Chor Wing Sing,2 Esther Wai Yin Chan,2 Ching-Lung Cheung2 1Department of Medicine, Queen Mary Hospital, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, People’s Republic of China; 2Department of Pharmacology and Pharmacy, LKS Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, People’s Republic of ChinaCorrespondence: Ching-Lung Cheung, Department of Pharmacology and Pharmacy, LKS Faculty of Medicine, The University of Hong Kong, 21 Sassoon Road, Pokfulam, Hong Kong Special Administrative Region, People’s Republic of China, Tel +852 3917 9024, Fax +852 2817 0859, Email lung1212@hku.hkBackground: Electronic health record (EHR) databases can facilitate epidemiology research into various diseases including asthma. Given the diagnostic challenges of asthma, the validity of the coding in EHR requires clarification. We aimed to assess the validity of International Classification of Diseases, 9th Revision (ICD-9) code algorithms for identifying asthma in the territory-wide electronic medical health record system of the Clinical Data Analysis and Reporting System (CDARS) in Hong Kong.Methods: Adult patients who had the diagnosis of asthma input from all public hospitals in Hong Kong and those from Queen Mary Hospital in 2011– 2020 were identified using the ICD-9 code of 493 (493.0, 493.1, 493.2, and 493.9) by CDARS. Patients’ clinical record and spirometry were reviewed by two respiratory specialists to confirm the presence of asthma in the randomly selected cases.Results: There were 43,454 patients who had the diagnostic code of asthma among all public hospitals in Hong Kong and 1852 in Queen Mary Hospital in the same period. A total of 200 cases were randomly selected and validated using medical record and spirometry review by a respiratory specialist. The overall positive predictive value (PPV) was 85.0% (95% CI 80.1− 89.9%).Conclusion: This was the first ICD-9 code validation for CDARS (EHR) in Hong Kong on asthma. Our study demonstrated that using ICD-9 code (493.0, 493.1, 493.2 and 493.9) to identify asthma can result in a PPV that was reliable to support the utility of the CDARS database for further research on asthma among the Hong Kong population.Keywords: asthma, algorithms, EHR, electronic health record, validation Background: Electronic health record (EHR) databases can facilitate epidemiology research into various diseases including asthma. Given the diagnostic challenges of asthma, the validity of the coding in EHR requires clarification. We aimed to assess the validity of International Classification of Diseases, 9th Revision (ICD-9) code algorithms for identifying asthma in the territory-wide electronic medical health record system of the Clinical Data Analysis and Reporting System (CDARS) in Hong Kong. Methods: Adult patients who had the diagnosis of asthma input from all public hospitals in Hong Kong and those from Queen Mary Hospital in 2011– 2020 were identified using the ICD-9 code of 493 (493.0, 493.1, 493.2, and 493.9) by CDARS. Patients’ clinical record and spirometry were reviewed by two respiratory specialists to confirm the presence of asthma in the randomly selected cases. Results: There were 43,454 patients who had the diagnostic code of asthma among all public hospitals in Hong Kong and 1852 in Queen Mary Hospital in the same period. A total of 200 cases were randomly selected and validated using medical record and spirometry review by a respiratory specialist. The overall positive predictive value (PPV) was 85.0% (95% CI 80.1− 89.9%). Conclusion: This was the first ICD-9 code validation for CDARS (EHR) in Hong Kong on asthma. Our study demonstrated that using ICD-9 code (493.0, 493.1, 493.2 and 493.9) to identify asthma can result in a PPV that was reliable to support the utility of the CDARS database for further research on asthma among the Hong Kong population. Electronic health record (EHR) databases can facilitate epidemiology research into various diseases including asthma. Given the diagnostic challenges of asthma, the validity of the coding in EHR requires clarification. We aimed to assess the validity of International Classification of Diseases, 9th Revision (ICD-9) code algorithms for identifying asthma in the territory-wide electronic medical health record system of the Clinical Data Analysis and Reporting System (CDARS) in Hong Kong.BackgroundElectronic health record (EHR) databases can facilitate epidemiology research into various diseases including asthma. Given the diagnostic challenges of asthma, the validity of the coding in EHR requires clarification. We aimed to assess the validity of International Classification of Diseases, 9th Revision (ICD-9) code algorithms for identifying asthma in the territory-wide electronic medical health record system of the Clinical Data Analysis and Reporting System (CDARS) in Hong Kong.Adult patients who had the diagnosis of asthma input from all public hospitals in Hong Kong and those from Queen Mary Hospital in 2011-2020 were identified using the ICD-9 code of 493 (493.0, 493.1, 493.2, and 493.9) by CDARS. Patients' clinical record and spirometry were reviewed by two respiratory specialists to confirm the presence of asthma in the randomly selected cases.MethodsAdult patients who had the diagnosis of asthma input from all public hospitals in Hong Kong and those from Queen Mary Hospital in 2011-2020 were identified using the ICD-9 code of 493 (493.0, 493.1, 493.2, and 493.9) by CDARS. Patients' clinical record and spirometry were reviewed by two respiratory specialists to confirm the presence of asthma in the randomly selected cases.There were 43,454 patients who had the diagnostic code of asthma among all public hospitals in Hong Kong and 1852 in Queen Mary Hospital in the same period. A total of 200 cases were randomly selected and validated using medical record and spirometry review by a respiratory specialist. The overall positive predictive value (PPV) was 85.0% (95% CI 80.1-89.9%).ResultsThere were 43,454 patients who had the diagnostic code of asthma among all public hospitals in Hong Kong and 1852 in Queen Mary Hospital in the same period. A total of 200 cases were randomly selected and validated using medical record and spirometry review by a respiratory specialist. The overall positive predictive value (PPV) was 85.0% (95% CI 80.1-89.9%).This was the first ICD-9 code validation for CDARS (EHR) in Hong Kong on asthma. Our study demonstrated that using ICD-9 code (493.0, 493.1, 493.2 and 493.9) to identify asthma can result in a PPV that was reliable to support the utility of the CDARS database for further research on asthma among the Hong Kong population.ConclusionThis was the first ICD-9 code validation for CDARS (EHR) in Hong Kong on asthma. Our study demonstrated that using ICD-9 code (493.0, 493.1, 493.2 and 493.9) to identify asthma can result in a PPV that was reliable to support the utility of the CDARS database for further research on asthma among the Hong Kong population. |
| Audience | Academic |
| Author | Sing, Chor Wing Cheung, Ching-Lung Kwok, Wang Chun Tam, Terence Chi Chun Chan, Esther Wai Yin |
| Author_xml | – sequence: 1 givenname: Wang Chun orcidid: 0000-0002-5611-1637 surname: Kwok fullname: Kwok, Wang Chun – sequence: 2 givenname: Terence Chi Chun surname: Tam fullname: Tam, Terence Chi Chun – sequence: 3 givenname: Chor Wing surname: Sing fullname: Sing, Chor Wing – sequence: 4 givenname: Esther Wai Yin surname: Chan fullname: Chan, Esther Wai Yin – sequence: 5 givenname: Ching-Lung surname: Cheung fullname: Cheung, Ching-Lung |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/37006594$$D View this record in MEDLINE/PubMed |
| BookMark | eNptklFv0zAUhSM0xMbYE-8oEhJCgpY4duz4CVVl0MEkJAq8IevacVpXjj3sBNR_j9uO0o45kh053z25Pj6PsxPnnc6yp6gYl4iwNx8nk_GcFFXJ2YPsDCFWjyin1cnB-2l2EeOqSANzSjF9lJ1iVhS04uQs-_EdrGmgN97lvs3fGVg4H3uj8qlvjFvkrQ_5JPbLDnLjcnD5pdWqD94lZKbB9sv8i1Y-NPl8HXvdbaiZT4Wf0vQke9iCjfridj3Pvr2__Dqdja4_f7iaTq5HqmKkH1Ul5mVFJVDW6kpJWkustVSSF0qWZY1JU-uaKtKUhAJpZFtJLblEBWsZqgGfZ1c73cbDStwE00FYCw9GbDd8WAgI6VBWi7YhVLECYyQZAdCScuCyaEqOFZCaJ63XO63B3cD6N1i7F0SF2JguVgAi7kxP-NsdfjPITjdKuz6APerh-IszS7Hwv5JYugKCaFJ4easQ_M9Bx150JiptLTjthyhKxgllvKIkoc_voCs_BJesFWVdoBpXFUP_qAWkAxvX-vRjtREVE0YoTijbaI3vodLT6M6olLLWpP2jghcHBcvt3Udvh0124jH47NCSvRd_U5eAVztABR9j0O1_DqdYi_neYXSHVqbfJjY1bOy9NX8A3ir1vw |
| CitedBy_id | crossref_primary_10_1016_j_lanwpc_2024_101026 crossref_primary_10_1016_j_diabet_2024_101571 crossref_primary_10_1007_s40264_024_01450_4 crossref_primary_10_1016_j_lanwpc_2023_101006 crossref_primary_10_2147_COPD_S440895 crossref_primary_10_3390_nu16203536 crossref_primary_10_3390_vaccines12070704 crossref_primary_10_1161_JAHA_124_036717 crossref_primary_10_1016_j_psychres_2024_116038 crossref_primary_10_1038_s41533_025_00424_y |
| Cites_doi | 10.5507/bp.2013.039 10.1183/13993003.00068-2017 10.1016/j.semarthrit.2020.04.006 10.1111/crj.13480 10.1136/bmjopen-2020-045868 10.1002/pds.5421 10.15265/IYS-2016-s006 10.1002/ppul.23735 10.1093/ije/dyx172 10.1513/AnnalsATS.202010-1247OC 10.1002/pds.4208 10.1016/j.jaip.2020.12.015 10.3389/fped.2019.00113 10.1155/2021/8886520 10.1016/j.jaip.2021.06.018 10.1016/j.arbres.2011.12.009 10.1016/S0895-3988(11)60007-X 10.1183/13993003.01335-2019 10.1136/oemed-2020-106953 10.1016/j.jaci.2020.04.041 10.1080/02770903.2017.1369990 10.1186/s12877-022-03009-3 10.2147/COPD.S300902 10.1183/13993003.00436-2016 10.1183/13993003.00937-2020 10.1183/09031936.00202013 10.2147/CLEP.S143718 10.1378/chest.15-1055 10.1001/jamanetworkopen.2022.51177 10.1080/02770903.2019.1648505 10.1183/09031936.97.10020354 10.1136/bmj.j3772 10.1136/thx.2008.108027 10.2147/COPD.S124459 10.1177/2045894018759246 |
| ContentType | Journal Article |
| Copyright | 2023 Kwok et al. COPYRIGHT 2023 Dove Medical Press Limited 2023. This work is licensed under https://creativecommons.org/licenses/by-nc/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. 2023 Kwok et al. 2023 Kwok et al. |
| Copyright_xml | – notice: 2023 Kwok et al. – notice: COPYRIGHT 2023 Dove Medical Press Limited – notice: 2023. This work is licensed under https://creativecommons.org/licenses/by-nc/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. – notice: 2023 Kwok et al. 2023 Kwok et al. |
| DBID | AAYXX CITATION NPM 3V. 7RV 7XB 8C1 8FE 8FH 8FI 8FJ 8FK 8G5 ABUWG AFKRA AZQEC BBNVY BENPR BHPHI CCPQU COVID DWQXO FYUFA GHDGH GNUQQ GUQSH HCIFZ KB0 LK8 M2O M7P MBDVC NAPCQ PHGZM PHGZT PIMPY PJZUB PKEHL PPXIY PQEST PQGLB PQQKQ PQUKI PRINS Q9U 7X8 5PM ADTOC UNPAY DOA |
| DOI | 10.2147/JAA.S405297 |
| DatabaseName | CrossRef PubMed ProQuest Central (Corporate) Nursing & Allied Health Database ProQuest Central (purchase pre-March 2016) Public Health Database ProQuest SciTech Collection ProQuest Natural Science Journals Hospital Premium Collection Hospital Premium Collection (Alumni Edition) ProQuest Central (Alumni) (purchase pre-March 2016) Research Library ProQuest Central (Alumni) ProQuest Central UK/Ireland ProQuest Central Essentials Biological Science Database ProQuest Central Natural Science Collection ProQuest One Community College Coronavirus Research Database ProQuest Central Health Research Premium Collection Health Research Premium Collection (Alumni) ProQuest Central Student Research Library Prep SciTech Premium Collection Nursing & Allied Health Database (Alumni Edition) ProQuest Biological Science Collection Research Library Biological Science Database Research Library (Corporate) Nursing & Allied Health Premium ProQuest Central Premium ProQuest One Academic Publicly Available Content Database ProQuest Health & Medical Research Collection ProQuest One Academic Middle East (New) ProQuest One Health & Nursing ProQuest One Academic Eastern Edition (DO NOT USE) ProQuest One Applied & Life Sciences ProQuest One Academic ProQuest One Academic UKI Edition ProQuest Central China ProQuest Central Basic MEDLINE - Academic PubMed Central (Full Participant titles) Unpaywall for CDI: Periodical Content Unpaywall DOAJ Directory of Open Access Journals |
| DatabaseTitle | CrossRef PubMed Publicly Available Content Database Research Library Prep ProQuest Central Student ProQuest One Academic Middle East (New) ProQuest Central Essentials ProQuest Central (Alumni Edition) SciTech Premium Collection ProQuest One Community College ProQuest One Health & Nursing Research Library (Alumni Edition) ProQuest Natural Science Collection ProQuest Central China ProQuest Central ProQuest One Applied & Life Sciences ProQuest Health & Medical Research Collection Health Research Premium Collection Natural Science Collection ProQuest Central Korea Health & Medical Research Collection Biological Science Collection ProQuest Research Library ProQuest Central (New) ProQuest Public Health ProQuest Biological Science Collection ProQuest Central Basic ProQuest One Academic Eastern Edition Coronavirus Research Database ProQuest Nursing & Allied Health Source ProQuest Hospital Collection Health Research Premium Collection (Alumni) Biological Science Database ProQuest SciTech Collection ProQuest Hospital Collection (Alumni) Nursing & Allied Health Premium ProQuest One Academic UKI Edition ProQuest Nursing & Allied Health Source (Alumni) ProQuest One Academic ProQuest One Academic (New) ProQuest Central (Alumni) MEDLINE - Academic |
| DatabaseTitleList | PubMed Publicly Available Content Database MEDLINE - Academic |
| Database_xml | – sequence: 1 dbid: DOA name: DOAJ Directory of Open Access Journals url: https://www.doaj.org/ sourceTypes: Open Website – sequence: 2 dbid: NPM name: PubMed url: https://proxy.k.utb.cz/login?url=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed sourceTypes: Index Database – sequence: 3 dbid: UNPAY name: Unpaywall url: https://proxy.k.utb.cz/login?url=https://unpaywall.org/ sourceTypes: Open Access Repository – sequence: 4 dbid: BENPR name: ProQuest Central url: http://www.proquest.com/pqcentral?accountid=15518 sourceTypes: Aggregation Database |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Medicine |
| DocumentTitleAlternate | Kwok et al |
| EISSN | 1178-6965 |
| EndPage | 321 |
| ExternalDocumentID | oai_doaj_org_article_fd46c70331b74aaeb69a9b0d293ca489 10.2147/jaa.s405297 PMC10065416 A746328074 37006594 10_2147_JAA_S405297 |
| Genre | Journal Article |
| GeographicLocations | China Hong Kong, China Hong Kong China |
| GeographicLocations_xml | – name: China – name: Hong Kong, China – name: Hong Kong China |
| GrantInformation_xml | – fundername: ; |
| GroupedDBID | --- 0YH 29J 2WC 5VS 7RV 8C1 8FE 8FH 8FI 8FJ 8G5 AAYXX ABUWG ACGFO ADBBV ADRAZ AFKRA ALMA_UNASSIGNED_HOLDINGS AOIJS AZQEC BAWUL BBNVY BCNDV BENPR BHPHI BKEYQ BPHCQ BVXVI CCPQU CITATION DIK DWQXO E3Z EBD EBS EJD FYUFA GNUQQ GROUPED_DOAJ GUQSH GX1 HCIFZ HYE IAO IHR IHW IPNFZ ITC KQ8 LK8 M2O M48 M7P M~E NAPCQ O5R O5S OK1 P2P P6G PGMZT PHGZM PHGZT PIMPY PJZUB PPXIY PQGLB PQQKQ PROAC PUEGO RIG RNS RPM TDBHL TR2 UKHRP VDV ALIPV NPM AQTUD 3V. 7XB 8FK COVID MBDVC PKEHL PQEST PQUKI PRINS Q9U 7X8 5PM ADTOC UNPAY |
| ID | FETCH-LOGICAL-c574t-5239256ba67fe5cb68b3eebcb90cb22834d8e86c4d246a4dbf5beb9b107f718a3 |
| IEDL.DBID | M48 |
| ISSN | 1178-6965 |
| IngestDate | Fri Oct 03 12:50:45 EDT 2025 Sun Oct 26 04:07:12 EDT 2025 Tue Sep 30 17:14:57 EDT 2025 Fri Sep 05 14:00:32 EDT 2025 Fri Jul 25 11:42:36 EDT 2025 Mon Oct 20 22:43:08 EDT 2025 Mon Oct 20 16:54:00 EDT 2025 Thu May 22 21:23:42 EDT 2025 Thu Jan 02 22:52:20 EST 2025 Wed Oct 01 04:12:19 EDT 2025 Thu Apr 24 23:02:10 EDT 2025 |
| IsDoiOpenAccess | true |
| IsOpenAccess | true |
| IsPeerReviewed | true |
| IsScholarly | true |
| Keywords | algorithms asthma electronic health record EHR validation |
| Language | English |
| License | https://creativecommons.org/licenses/by-nc/3.0 2023 Kwok et al. This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php). cc-by-nc |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c574t-5239256ba67fe5cb68b3eebcb90cb22834d8e86c4d246a4dbf5beb9b107f718a3 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 |
| ORCID | 0000-0002-5611-1637 0000-0002-6233-9144 0000-0002-2180-3676 0000-0002-7602-9470 0000-0002-6057-8168 |
| OpenAccessLink | https://www.proquest.com/docview/2801835571?pq-origsite=%requestingapplication%&accountid=15518 |
| PMID | 37006594 |
| PQID | 2801835571 |
| PQPubID | 3933137 |
| PageCount | 7 |
| ParticipantIDs | doaj_primary_oai_doaj_org_article_fd46c70331b74aaeb69a9b0d293ca489 unpaywall_primary_10_2147_jaa_s405297 pubmedcentral_primary_oai_pubmedcentral_nih_gov_10065416 proquest_miscellaneous_2794679564 proquest_journals_2801835571 gale_infotracmisc_A746328074 gale_infotracacademiconefile_A746328074 gale_healthsolutions_A746328074 pubmed_primary_37006594 crossref_primary_10_2147_JAA_S405297 crossref_citationtrail_10_2147_JAA_S405297 |
| ProviderPackageCode | CITATION AAYXX |
| PublicationCentury | 2000 |
| PublicationDate | 2023-01-01 |
| PublicationDateYYYYMMDD | 2023-01-01 |
| PublicationDate_xml | – month: 01 year: 2023 text: 2023-01-01 day: 01 |
| PublicationDecade | 2020 |
| PublicationPlace | New Zealand |
| PublicationPlace_xml | – name: New Zealand – name: Macclesfield |
| PublicationTitle | Journal of asthma and allergy |
| PublicationTitleAlternate | J Asthma Allergy |
| PublicationYear | 2023 |
| Publisher | Dove Medical Press Limited Taylor & Francis Ltd Dove Dove Medical Press |
| Publisher_xml | – name: Dove Medical Press Limited – name: Taylor & Francis Ltd – name: Dove – name: Dove Medical Press |
| References | ref36 Koblizek (ref34) 2013; 157 Chung (ref1) 2014; 43 Kendzerska (ref9) 2021; 9 Li (ref10) 2021; 2021 Papani (ref26) 2018; 8 Cataldo (ref32) 2017; 12 Leung (ref2) 1997; 10 Gibson (ref30) 2009; 64 Das (ref13) 2017; 52 Chan (ref15) 2021; 18 Roman-Rodriguez (ref37) 2021; 16 Nissen (ref12) 2017; 9 Chung (ref7) 2018; 55 ref23 Miravitlles (ref35) 2017; 49 Gao (ref20) 2021; 11 Leung (ref28) 2017; 358 Martin (ref14) 2020; 57 Chan (ref21) 2022; 22 Ye (ref27) 2022; 31 Bai (ref3) 2010; 23 Jaakkola (ref5) 2021; 78 Woo (ref6) 2021; 147 Sing (ref24) 2017; 26 Au (ref17) 2023; 6 Seol (ref18) 2019; 7 Cho (ref25) 2020; 50 Abdullah (ref11) 2020; 55 Soler-Cataluna (ref33) 2012; 48 Honkamaki (ref4) 2021; 9 Momen (ref8) 2021; 57 Cheung (ref22) 2018; 47 Sin (ref31) 2016; 48 Cosio (ref29) 2016; 149 Evans (ref19) 2016; 1 Kwok (ref16) 2022; 16 |
| References_xml | – volume: 157 start-page: 189 year: 2013 ident: ref34 publication-title: Biomed Pap Med Fac Univ Palacky Olomouc Czech Repub doi: 10.5507/bp.2013.039 – volume: 49 start-page: 1 year: 2017 ident: ref35 publication-title: Eur Respir J doi: 10.1183/13993003.00068-2017 – volume: 50 start-page: 592 year: 2020 ident: ref25 publication-title: Semin Arthritis Rheum doi: 10.1016/j.semarthrit.2020.04.006 – volume: 16 start-page: 293 year: 2022 ident: ref16 publication-title: Clin Respir J doi: 10.1111/crj.13480 – volume: 11 start-page: e045868 year: 2021 ident: ref20 publication-title: BMJ Open doi: 10.1136/bmjopen-2020-045868 – volume: 31 start-page: 519 year: 2022 ident: ref27 publication-title: Pharmacoepidemiol Drug Saf doi: 10.1002/pds.5421 – volume: 1 start-page: S48 year: 2016 ident: ref19 publication-title: Yearb Med Inform doi: 10.15265/IYS-2016-s006 – volume: 52 start-page: 880 year: 2017 ident: ref13 publication-title: Pediatr Pulmonol doi: 10.1002/ppul.23735 – volume: 47 start-page: 397 year: 2018 ident: ref22 publication-title: Int J Epidemiol doi: 10.1093/ije/dyx172 – volume: 18 start-page: 1624 year: 2021 ident: ref15 publication-title: Ann Am Thorac Soc doi: 10.1513/AnnalsATS.202010-1247OC – volume: 26 start-page: 973 year: 2017 ident: ref24 publication-title: Pharmacoepidemiol Drug Saf doi: 10.1002/pds.4208 – volume: 9 start-page: 1950 year: 2021 ident: ref4 publication-title: J Allergy Clin Immunol Pract doi: 10.1016/j.jaip.2020.12.015 – volume: 7 start-page: 113 year: 2019 ident: ref18 publication-title: Front Pediatr doi: 10.3389/fped.2019.00113 – volume: 2021 start-page: 8886520 year: 2021 ident: ref10 publication-title: Can Respir J doi: 10.1155/2021/8886520 – volume: 9 start-page: 3686 year: 2021 ident: ref9 publication-title: J Allergy Clin Immunol Pract doi: 10.1016/j.jaip.2021.06.018 – volume: 48 start-page: 331 year: 2012 ident: ref33 publication-title: Arch Bronconeumol doi: 10.1016/j.arbres.2011.12.009 – volume: 23 start-page: 453 year: 2010 ident: ref3 publication-title: Biomed Environ Sci doi: 10.1016/S0895-3988(11)60007-X – volume: 55 start-page: 1901335 year: 2020 ident: ref11 publication-title: Eur Respir J doi: 10.1183/13993003.01335-2019 – ident: ref36 – volume: 78 start-page: 661 year: 2021 ident: ref5 publication-title: Occup Environ Med doi: 10.1136/oemed-2020-106953 – volume: 147 start-page: 135 year: 2021 ident: ref6 publication-title: J Allergy Clin Immunol doi: 10.1016/j.jaci.2020.04.041 – volume: 55 start-page: 734 year: 2018 ident: ref7 publication-title: J Asthma doi: 10.1080/02770903.2017.1369990 – volume: 22 start-page: 299 year: 2022 ident: ref21 publication-title: BMC Geriatr doi: 10.1186/s12877-022-03009-3 – volume: 16 start-page: 1709 year: 2021 ident: ref37 publication-title: Int J Chron Obstruct Pulmon Dis doi: 10.2147/COPD.S300902 – ident: ref23 – volume: 48 start-page: 664 year: 2016 ident: ref31 publication-title: Eur Respir J doi: 10.1183/13993003.00436-2016 – volume: 57 start-page: 2000937 year: 2021 ident: ref8 publication-title: Eur Respir J doi: 10.1183/13993003.00937-2020 – volume: 43 start-page: 343 year: 2014 ident: ref1 publication-title: Eur Respir J doi: 10.1183/09031936.00202013 – volume: 9 start-page: 643 year: 2017 ident: ref12 publication-title: Clin Epidemiol doi: 10.2147/CLEP.S143718 – volume: 149 start-page: 45 year: 2016 ident: ref29 publication-title: Chest doi: 10.1378/chest.15-1055 – volume: 6 start-page: e2251177 year: 2023 ident: ref17 publication-title: JAMA Netw Open doi: 10.1001/jamanetworkopen.2022.51177 – volume: 57 start-page: 1339 year: 2020 ident: ref14 publication-title: J Asthma doi: 10.1080/02770903.2019.1648505 – volume: 10 start-page: 354 year: 1997 ident: ref2 publication-title: Eur Respir J doi: 10.1183/09031936.97.10020354 – volume: 358 start-page: j3772 year: 2017 ident: ref28 publication-title: BMJ doi: 10.1136/bmj.j3772 – volume: 64 start-page: 728 year: 2009 ident: ref30 publication-title: Thorax doi: 10.1136/thx.2008.108027 – volume: 12 start-page: 601 year: 2017 ident: ref32 publication-title: Int J Chron Obstruct Pulmon Dis doi: 10.2147/COPD.S124459 – volume: 8 start-page: 2045894018759246 year: 2018 ident: ref26 publication-title: Pulm Circ doi: 10.1177/2045894018759246 |
| SSID | ssj0000396636 |
| Score | 2.3437898 |
| Snippet | Electronic health record (EHR) databases can facilitate epidemiology research into various diseases including asthma. Given the diagnostic challenges of... Background: Electronic health record (EHR) databases can facilitate epidemiology research into various diseases including asthma. Given the diagnostic... Wang Chun Kwok,1 Terence Chi Chun Tam,1 Chor Wing Sing,2 Esther Wai Yin Chan,2 Ching-Lung Cheung2 1Department of Medicine, Queen Mary Hospital, The University... |
| SourceID | doaj unpaywall pubmedcentral proquest gale pubmed crossref |
| SourceType | Open Website Open Access Repository Aggregation Database Index Database Enrichment Source |
| StartPage | 315 |
| SubjectTerms | Algorithms Asthma China Chronic obstructive pulmonary disease Codes Data analysis ehr electronic health record Electronic health records Electronic medical records Electronic records Epidemiology Family physicians Health care Hong Kong, China Hospitals Information management Lung diseases Medical diagnosis Medical records Medical research Medicine, Experimental Original Research Patients Population Spirometry validation Validity |
| SummonAdditionalLinks | – databaseName: DOAJ Directory of Open Access Journals dbid: DOA link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV3Nb9UwDI_QDsAFbXwWNgjSEBJS2ctrmjTHbmx6GhoXGNoFRUmaaJse7bT3ntD-e-ykq14ZEhcuPdRu1dhObDfxz4Ts8lDxULgyt4ybHLfWchWYzyvVSGZNxZzHH_onX8TslB-flWdrrb7wTFiCB06C2wsNFw7MsmBWcmO8FcooO2nATSEgdyzdm1RqLZmKa3ABYXzsD8gYpElCiTIV52Fbnr3juv74leMelxy5o4jaf3dtXnNOfx6cfLBqr8zNLzOfr3mlo03yqA8naZ2GsUXu-fYxuX_Sb5g_IT--Q5yd2ibRLtBP6WAdMNODDr0WhZiV1ovl-U9DL1pqWno49MWhqUSJpgyVJmxz5Jp18OBnuDwlp0eH3w5med9RIXel5EvMOhXEONYIGXzprKhs4b11Vk2cRSAc3lS-Eo43Uy4Mb2worbfKQo4YwImZ4hnZaLvWvyDUTk1RNEFA_Bi4c0I550thrJ1KxKgLGflwK1jterhx7Hox15B2oBY0aEH3WsjI7sB8lVA2_s62jxoaWBAaO94Ag9G9weh_GUxG3qB-daozHSa4riUXRcQGysj7yIFTHD7Zmb5SAQaOYFkjzu0RJ0xNNybf2pDul4aFBgoso2UpWUbeDmR8Eo-7tb5bAQ_C_ktIXeEVz5PJDYMuJIaNCijVyBhHUhlT2ovzCBzOYikxExl5N9jtHXlfGqMXSd4v_4e8X5GHUwgM02-rbbKxvF75HQjklvZ1nLO_AYLrQ00 priority: 102 providerName: Directory of Open Access Journals – databaseName: ProQuest Central dbid: BENPR link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfV1Lb9QwELbKVgIuiDeBAkYqQkIK3SSOnRwQSstWq6KuEFDUC7Jsx6attsnS3RXi3zMTJ6GhiEsO8SRKPA9_fsw3hGwzlzGXmDTUEVMhbq2FuYtsmOWliLTKImNxQf9wxqdH7OA4Pd4gsy4XBo9VdjGxCdRlbXCNfCeGUApoIRXRu8WPEKtG4e5qV0JDtaUVyrcNxdg1shkjM9aIbO5OZh8_9asu4wTgPe5XYqIelujZOSiKN58Z7neJwdDUMPhfjdOXBqq_D1HeWFcL9eunms8vjVD7t8mtFlrSwtvCHbJhq7vk-mG7eX6PfPsKmNuXUKK1o-_9ITsQpns1jmAU8CstlquTc0VPK6oqOulr5FCfrkT9bJV6nnOUmtbw4Ae43CdH-5Mve9Owra4QmlSwFc5Ac8A7WnHhbGo0z3RirTY6HxuNpDiszGzGDStjxhUrtUu11bmG-aKDAU0lD8ioqiv7iFAdqyQpHQcs6ZgxPDfGplxpHQvkq3MBed11rDQt9ThWwJhLmIKgFiRoQbZaCMh2L7zwjBv_FttFDfUiSJPd3KgvvsvW66QrGTcQ05JIC6aU1TxXuR6XgHGQzT0PyHPUr_Q5p72zy0IwnjQ8QQF51Uigu8MnG9VmLcCPI3HWQHJrIAluaobNnQ3JNkws5R-jDsiLvhmfxKNvla3XIIMlAARMY-EVD73J9T-dCISQObRkA2Mc9MqwpTo9aUjEoyatOOIBednb7ZX-PlNKLn1_P_7_9z8hN2OAf35xaouMVhdr-xTg2ko_a33wN3QePu0 priority: 102 providerName: ProQuest – databaseName: Unpaywall dbid: UNPAY link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV3db9MwELdGJwEvfA8CA4w0hISUsjSOHT-Gsaka2oQEReMBWbZjs0FJpjUFwV_PXZxGy8YDvFRRfYni3Kftu98RssV8znxqs9gkTMd4tBZLn7g4l6VIjM4T63BD_-CQT2ds_yg7WiOTVS0MplWW9Y-QBRp2k1yDEEUtWARegAHLwWnKK2SdZxB_j8j67PBd8Sl0UcljLnkWCvGwBc-rr1qPFwzPs8TA9bQI_Zft8DlHdDFJ8tqyOtW_fur5_JwH2rsZqgIXLXAhJp58Gy8bM7a_L8A6_t_kbpEbXUBKiyBBt8maq-6Qqwfdkftd8vkjROqh8RKtPX0TUvOAmO7U6PcoRL20WDTH3zU9qaiu6G7fWYeGIica1rg0oKMj1bSGG9_Czz0y29v9sDONu54Msc0Ea3DdKiFKMpoL7zJreG5S54w1ctsahNJhZe5yblk5YVyz0vjMOCMNrDI9uEGdbpBRVVfuAaFmotO09BwiUM-s5dJal3FtzEQgyp2PyMsVu5TtAMuxb8ZcwcIFeav2i0K9D7yNyFZPfBpwOv5O9hr53pMguHb7R332RXW6qnzJuAVLmCZGMK2d4VJLs11CZIQY8DIiT1FqVKhU7U2EKgTjaYsuFJEXLQUaCXhlq7taB5g4cnlAuTmgBOW2w-GVZKrOuCwUjIAhzjKRRORZP4x3YsJc5eol0GDjAAGLX3jE_SDI_aRTgYGnhJF8IOKDrzIcqU6OW-jxpC1GTnhEnvfacOl7g8qpTuUe_iPdI3J9AtFj2NvaJKPmbOkeQ7TXmCedev8BUbFWSQ priority: 102 providerName: Unpaywall |
| Title | Validation of Diagnostic Coding for Asthma in an Electronic Health Record System in Hong Kong |
| URI | https://www.ncbi.nlm.nih.gov/pubmed/37006594 https://www.proquest.com/docview/2801835571 https://www.proquest.com/docview/2794679564 https://pubmed.ncbi.nlm.nih.gov/PMC10065416 https://www.dovepress.com/getfile.php?fileID=88469 https://doaj.org/article/fd46c70331b74aaeb69a9b0d293ca489 |
| UnpaywallVersion | publishedVersion |
| Volume | 16 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| journalDatabaseRights | – providerCode: PRVAFT databaseName: Open Access Digital Library customDbUrl: eissn: 1178-6965 dateEnd: 99991231 omitProxy: true ssIdentifier: ssj0000396636 issn: 1178-6965 databaseCode: KQ8 dateStart: 20080101 isFulltext: true titleUrlDefault: http://grweb.coalliance.org/oadl/oadl.html providerName: Colorado Alliance of Research Libraries – providerCode: PRVAON databaseName: DOAJ Directory of Open Access Journals customDbUrl: eissn: 1178-6965 dateEnd: 99991231 omitProxy: true ssIdentifier: ssj0000396636 issn: 1178-6965 databaseCode: DOA dateStart: 20080101 isFulltext: true titleUrlDefault: https://www.doaj.org/ providerName: Directory of Open Access Journals – providerCode: PRVBFR databaseName: Free Medical Journals customDbUrl: eissn: 1178-6965 dateEnd: 99991231 omitProxy: true ssIdentifier: ssj0000396636 issn: 1178-6965 databaseCode: DIK dateStart: 20080101 isFulltext: true titleUrlDefault: http://www.freemedicaljournals.com providerName: Flying Publisher – providerCode: PRVFQY databaseName: GFMER Free Medical Journals customDbUrl: eissn: 1178-6965 dateEnd: 99991231 omitProxy: true ssIdentifier: ssj0000396636 issn: 1178-6965 databaseCode: GX1 dateStart: 20080101 isFulltext: true titleUrlDefault: http://www.gfmer.ch/Medical_journals/Free_medical.php providerName: Geneva Foundation for Medical Education and Research – providerCode: PRVFQY databaseName: GFMER Free Medical Journals customDbUrl: eissn: 1178-6965 dateEnd: 99991231 omitProxy: true ssIdentifier: ssj0000396636 issn: 1178-6965 databaseCode: GX1 dateStart: 0 isFulltext: true titleUrlDefault: http://www.gfmer.ch/Medical_journals/Free_medical.php providerName: Geneva Foundation for Medical Education and Research – providerCode: PRVHPJ databaseName: ROAD: Directory of Open Access Scholarly Resources customDbUrl: eissn: 1178-6965 dateEnd: 99991231 omitProxy: true ssIdentifier: ssj0000396636 issn: 1178-6965 databaseCode: M~E dateStart: 20080101 isFulltext: true titleUrlDefault: https://road.issn.org providerName: ISSN International Centre – providerCode: PRVAQN databaseName: PubMed Central customDbUrl: eissn: 1178-6965 dateEnd: 99991231 omitProxy: true ssIdentifier: ssj0000396636 issn: 1178-6965 databaseCode: RPM dateStart: 20080101 isFulltext: true titleUrlDefault: https://www.ncbi.nlm.nih.gov/pmc/ providerName: National Library of Medicine – providerCode: PRVPQU databaseName: ProQuest Central customDbUrl: http://www.proquest.com/pqcentral?accountid=15518 eissn: 1178-6965 dateEnd: 99991231 omitProxy: true ssIdentifier: ssj0000396636 issn: 1178-6965 databaseCode: BENPR dateStart: 20080101 isFulltext: true titleUrlDefault: https://www.proquest.com/central providerName: ProQuest – providerCode: PRVPQU databaseName: Public Health Database customDbUrl: eissn: 1178-6965 dateEnd: 99991231 omitProxy: true ssIdentifier: ssj0000396636 issn: 1178-6965 databaseCode: 8C1 dateStart: 20080101 isFulltext: true titleUrlDefault: https://search.proquest.com/publichealth providerName: ProQuest – providerCode: PRVFZP databaseName: Scholars Portal Journals: Open Access customDbUrl: eissn: 1178-6965 dateEnd: 20250131 omitProxy: true ssIdentifier: ssj0000396636 issn: 1178-6965 databaseCode: M48 dateStart: 20080901 isFulltext: true titleUrlDefault: http://journals.scholarsportal.info providerName: Scholars Portal – providerCode: PRVAWR databaseName: Taylor & Francis Open Access customDbUrl: eissn: 1178-6965 dateEnd: 99991231 omitProxy: true ssIdentifier: ssj0000396636 issn: 1178-6965 databaseCode: 0YH dateStart: 20081201 isFulltext: true titleUrlDefault: https://www.tandfonline.com providerName: Taylor & Francis |
| link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwdV3db9MwELf2IY29IL4XGMVIQ0hIGXPjOPEDQlnpqIZaTUBReUCR7TjbUElGPwT777mL02jZxksecud82He-O9v3O0L2eB7zPDChrxlXPm6t-TJn1o9lFjGtYmYsLugPR2Iw5seTcLJGVsU46w6c3xraYT2p8Wy6__f35XtQ-Hd4jJnx6O1xkux_4bhlFa2TTTBREms4DGs_v5qSA_Dqq3KBjEHUJKQIXa7e9fbbZCuI0CxL3jJUFZ7_zVn7itm6fqTyzrK4UJd_1HR6xV4d3SN3a0eTJk4y7pM1WzwgW8N6K_0h-fENPHBXUImWOf3gjtwBM-2VaM8oeLM0mS_Ofil6XlBV0H5TMYe65CXqYlfqUM-Ra1BCw09weUTGR_2vvYFf11rwTRjxBcajErwfrUSU29BoEevAWm20PDAaIXJ4FttYGJ51uVA803morZYaoscczJsKHpONoizsDqG6q4IgywV4ljk3RkhjbCiU1t0I0etyj7xZdWxqaiByrIcxTSEgwQFJYUDSekA8stcwXzj8jdvZDnGEGhYEza5ulLPTtNbBNM-4MDDDBUxHXCmrhVRSH2Tg8SC2u_TICxzf1GWgNqqfJhEXQYUa5JHXFQeKI3yyUXUOA_w4wmi1OHdbnKC0pk1eyVC6kvkUKDDBhmHEPPKyIWNLPAhX2HIJPFgQIIKgFh7xxIlc89MryfVI3BLGVq-0KcX5WQUpzqokYyY88qqR2xv9_VOpdO76--l_X_6MbHfBD3SrVLtkYzFb2ufgty10h6zHPdYhm4f90cnnTrX6AdePE7iH2gqU8egk-f4PQ2VCBg |
| linkProvider | Scholars Portal |
| linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV3dT9RAEN8gJOKL8dsqyppATEwq13a7bR-IOeDIwXEXo0B4MevudlcwZ3tyRwj_nH-bM-1epWJ846UP3WnT7szOx87ObwhZYzZlNtKxrwImfUyt-ZkNjJ9meRIomQba4Ib-cMT7R2z_JD5ZIL_mtTB4rHKuEytFnZca98g3QlCl4C3ESfBh8tPHrlGYXZ230JCutUK-WUGMucKOgbm6hBBuurm3A_xeD8Pd3uF233ddBnwdJ2yGkVgGdl9JnlgTa8VTFRmjtMo6WiE4DMtTk3LN8pBxyXJlY2VUpiBusqDYZQTvvUOWWMQyCP6Wtnqjj5-aXZ5OBOEE5kexMBBbAm3sd7vvPzPMryUtU1h1DLhpF64Zxr8PbS5fFBN5dSnH42sWcfcBue9cWdqtZe8hWTDFI3J36JL1j8mXY_Dx65ZNtLR0pz7UB8R0u0SLScFfpt3p7PSHpGcFlQXtNT15aF0eRevomNa46kjVL-HBAVyekKNbmeenZLEoC_OcUBXKKMotB9_VMq15prWJuVQqTBAfz3rk3XxihXZQ59hxYywg5EEuCOCCcFzwyFpDPKkRPv5NtoUcakgQlru6UZ5_E26VC5szrkGHRoFKmJRG8UxmqpODT4Xo8ZlHVpG_oq5xbZSL6CaMRxUukUfeVhSoXuCTtXRVEvDjCNTVolxpUYJa0O3huQwJp5am4s8i8sibZhifxKN2hSkvgAZbDiQQNsMrntUi1_x0lKDLmsFI2hLG1qy0R4qz0wq0PKjKmAPukfVGbm_M93cpxbSe7xf___5Vstw_HB6Ig73R4CW5F4LrWW-MrZDF2fmFeQWu4ky9duuRkq-3rQJ-A-nQfTs |
| linkToPdf | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV3db9MwELfGkMZeEN8EBjPSJiSk0CZxnOQBodKu6lY2IcHQXiZjO_Y2VJKytpr2r_HXcRenYWGIt73kIb5Eie98Hz7f7wjZYjZlNtKxrwImfUyt-ZkNjJ9meRIomQba4Ib-_gEfHbK9o_hohfxa1sLgscqlTqwUdV5q3CPvhKBKwVuIk6Bj62MRnwbD99OfPnaQwkzrsp2GE5GxubyA8G32bncAvN4Ow-HOl_7IrzsM-DpO2ByjsAxsvpI8sSbWiqcqMkZplXW1QmAYlqcm5ZrlIeOS5crGyqhMQcxkQanLCN57i9xOIs4Rtz_tB83-TjeCQAIzo1gSiM2AOnu93tvPDDNrScsIVr0CrluEKybx7-OadxbFVF5eyMnkii0c3iN3ayeW9pzU3ScrpnhA1vbrNP1DcvwVvHvXrImWlg7ccT4gpv0SbSUFT5n2ZvPTH5KeFVQWdKfpxkNdYRR1cTF1iOpINSrhwTFcHpHDG5nlx2S1KAvzlFAVyijKLQev1TKteaa1iblUKkwQGc965M1yYoWuQc6x18ZEQLCDXBDABVFzwSNbDfHUYXv8m-wDcqghQUDu6kZ5fiLq9S1szrgG7RkFKmFSGsUzmaluDt4U4sZnHtlE_gpX3dqoFdFLGI8qRCKPvK4oULHAJ2tZ10fAjyNEV4tyo0UJCkG3h5cyJGqFNBN_lo9HXjXD-CQesitMuQAabDaQQMAMr3jiRK756ShBZzWDkbQljK1ZaY8UZ6cVXHlQFTAH3CPbjdxem-_vUoqZm-9n___-TbIGC1983D0YPyfrIficbkdsg6zOzxfmBfiIc_WyWoyUfLvp1f8bC4Z6oA |
| linkToUnpaywall | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV3db9MwELdGJwEvfA8CA4w0hISUsjSOHT-Gsaka2oQEReMBWbZjs0FJpjUFwV_PXZxGy8YDvFRRfYni3Kftu98RssV8znxqs9gkTMd4tBZLn7g4l6VIjM4T63BD_-CQT2ds_yg7WiOTVS0MplWW9Y-QBRp2k1yDEEUtWARegAHLwWnKK2SdZxB_j8j67PBd8Sl0UcljLnkWCvGwBc-rr1qPFwzPs8TA9bQI_Zft8DlHdDFJ8tqyOtW_fur5_JwH2rsZqgIXLXAhJp58Gy8bM7a_L8A6_t_kbpEbXUBKiyBBt8maq-6Qqwfdkftd8vkjROqh8RKtPX0TUvOAmO7U6PcoRL20WDTH3zU9qaiu6G7fWYeGIica1rg0oKMj1bSGG9_Czz0y29v9sDONu54Msc0Ea3DdKiFKMpoL7zJreG5S54w1ctsahNJhZe5yblk5YVyz0vjMOCMNrDI9uEGdbpBRVVfuAaFmotO09BwiUM-s5dJal3FtzEQgyp2PyMsVu5TtAMuxb8ZcwcIFeav2i0K9D7yNyFZPfBpwOv5O9hr53pMguHb7R332RXW6qnzJuAVLmCZGMK2d4VJLs11CZIQY8DIiT1FqVKhU7U2EKgTjaYsuFJEXLQUaCXhlq7taB5g4cnlAuTmgBOW2w-GVZKrOuCwUjIAhzjKRRORZP4x3YsJc5eol0GDjAAGLX3jE_SDI_aRTgYGnhJF8IOKDrzIcqU6OW-jxpC1GTnhEnvfacOl7g8qpTuUe_iPdI3J9AtFj2NvaJKPmbOkeQ7TXmCedev8BUbFWSQ |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Validation+of+Diagnostic+Coding+for+Asthma+in+an+Electronic+Health+Record+System+in+Hong+Kong&rft.jtitle=Journal+of+asthma+and+allergy&rft.au=Kwok%2C+Wang+Chun&rft.au=Tam%2C+Terence+Chi+Chun&rft.au=Sing%2C+Chor+Wing&rft.au=Chan%2C+Esther+Wai+Yin&rft.date=2023-01-01&rft.issn=1178-6965&rft.eissn=1178-6965&rft.volume=16&rft.spage=315&rft_id=info:doi/10.2147%2FJAA.S405297&rft_id=info%3Apmid%2F37006594&rft.externalDocID=37006594 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1178-6965&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1178-6965&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1178-6965&client=summon |