Hospital Discharge Records as Data Source to Monitor Epidemiologic Indicators of Hematologic Malignancies in Abruzzo

Purpose To test the feasibility of using hospital discharge records (HDR) to monitor frequency indicators of hematologic malignancies (HM) in Abruzzo, an Italian region without a cancer registry. Methods Hospital discharge records contain a primary diagnosis field for principal disease and 5 seconda...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Tumori 2016-05, Vol.102 (3), p.258-263
Hauptverfasser: Vitullo, Felice, Di Biagio, Katiuscia, Murgano, Adriano, Di Bartolomeo, Paolo
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 263
container_issue 3
container_start_page 258
container_title Tumori
container_volume 102
creator Vitullo, Felice
Di Biagio, Katiuscia
Murgano, Adriano
Di Bartolomeo, Paolo
description Purpose To test the feasibility of using hospital discharge records (HDR) to monitor frequency indicators of hematologic malignancies (HM) in Abruzzo, an Italian region without a cancer registry. Methods Hospital discharge records contain a primary diagnosis field for principal disease and 5 secondary diagnosis fields for other diseases related or not to the principal diagnosis. In order to build patient indicators of HM—non-Hodgkin lymphoma (NHL), Hodgkin lymphoma (HL), multiple myeloma (MM), and leukemia (acute lymphoblastic leukemia [ALL], chronic lymphoid leukemia [CLL], acute myeloid leukemia [AML], and chronic myeloid leukemia [CML])—residents with first ICD-9-CM code 200-208 in any HDR field, or only in primary field, were identified. Results Among 3,955 patients with first diagnosis of HM registered in primary or secondary fields of HDR in the 2009-2013 period, and never recognized in 2005-2008 (791/year) (60.5/100,000), patients with first HM only in primary field were 2,304 (461/year) (35.2/100,000): 42% were NHL, 34% leukemia, 16% MM, 8% HL. Patient percentage of 461/791/year (58%) (64% among ordinary HDR and 49% in day-hospital HDR) was 35% for CLL (28/81), 47% for MM (74/152), 50% for CML (16/32), 57% for HL (36/63), 62% for NHL (194/314), and 82% for ALL (18/22) and AML (64/78). Conclusions Applying the cancer registries national rate, expected new diagnoses of HM in Abruzzo are about 620/year (46.4/100,000), compared to HDR estimates of 461 and 791/year (primary/all diagnoses fields: 58%). Since this percentage varies between 35% and 82%, our findings on the 2 methods seem useful for a validation process in the starting Cancer Registry.
doi_str_mv 10.5301/tj.5000472
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1794468923</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sage_id>10.5301_tj.5000472</sage_id><sourcerecordid>1794468923</sourcerecordid><originalsourceid>FETCH-LOGICAL-c314t-cb4b84182a5b66d836f51f4cc206819fec470c844982f56e37590f37be97cf5d3</originalsourceid><addsrcrecordid>eNptkMtKxDAUhoMoOo5ufADJThGquTVNljJeRhgRvKxLmiZjhrYZk3ShT29kRleuzuGcjx_-D4ATjC5LivBVWl2WCCFWkR0wIYiKgpRE7oIJoggVQmJ-AA5jXGUEEc73wQHhElcMyQlIcx_XLqkO3rio31VYGvhstA9thCrCG5UUfPFj0AYmDx_94JIP8HbtWtM73_ml0_BhaJ1W-R6ht3Bu-rxvPo-qc8tBDdqZCN0Ar5swfn35I7BnVRfN8XZOwdvd7etsXiye7h9m14tCU8xSoRvWCIYFUWXDeSsotyW2TGuCuMDSGs0qpAVjUhBbckOrUiJLq8bIStuypVNwvsldB_8xmpjqPpc0XacG48dY40oyxoUkNKMXG1QHH2Mwtl4H16vwWWNU_1iu06reWs7w6TZ3bHrT_qG_WjNwtgGiWpp6lf0Nued_Ud-TvYS5</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1794468923</pqid></control><display><type>article</type><title>Hospital Discharge Records as Data Source to Monitor Epidemiologic Indicators of Hematologic Malignancies in Abruzzo</title><source>MEDLINE</source><source>SAGE Complete A-Z List</source><creator>Vitullo, Felice ; Di Biagio, Katiuscia ; Murgano, Adriano ; Di Bartolomeo, Paolo</creator><creatorcontrib>Vitullo, Felice ; Di Biagio, Katiuscia ; Murgano, Adriano ; Di Bartolomeo, Paolo</creatorcontrib><description>Purpose To test the feasibility of using hospital discharge records (HDR) to monitor frequency indicators of hematologic malignancies (HM) in Abruzzo, an Italian region without a cancer registry. Methods Hospital discharge records contain a primary diagnosis field for principal disease and 5 secondary diagnosis fields for other diseases related or not to the principal diagnosis. In order to build patient indicators of HM—non-Hodgkin lymphoma (NHL), Hodgkin lymphoma (HL), multiple myeloma (MM), and leukemia (acute lymphoblastic leukemia [ALL], chronic lymphoid leukemia [CLL], acute myeloid leukemia [AML], and chronic myeloid leukemia [CML])—residents with first ICD-9-CM code 200-208 in any HDR field, or only in primary field, were identified. Results Among 3,955 patients with first diagnosis of HM registered in primary or secondary fields of HDR in the 2009-2013 period, and never recognized in 2005-2008 (791/year) (60.5/100,000), patients with first HM only in primary field were 2,304 (461/year) (35.2/100,000): 42% were NHL, 34% leukemia, 16% MM, 8% HL. Patient percentage of 461/791/year (58%) (64% among ordinary HDR and 49% in day-hospital HDR) was 35% for CLL (28/81), 47% for MM (74/152), 50% for CML (16/32), 57% for HL (36/63), 62% for NHL (194/314), and 82% for ALL (18/22) and AML (64/78). Conclusions Applying the cancer registries national rate, expected new diagnoses of HM in Abruzzo are about 620/year (46.4/100,000), compared to HDR estimates of 461 and 791/year (primary/all diagnoses fields: 58%). Since this percentage varies between 35% and 82%, our findings on the 2 methods seem useful for a validation process in the starting Cancer Registry.</description><identifier>ISSN: 0300-8916</identifier><identifier>EISSN: 2038-2529</identifier><identifier>DOI: 10.5301/tj.5000472</identifier><identifier>PMID: 26917409</identifier><language>eng</language><publisher>London, England: SAGE Publications</publisher><subject>Adult ; Aged ; Female ; Hematologic Neoplasms - epidemiology ; Humans ; Information Storage and Retrieval ; Italy - epidemiology ; Leukemia - epidemiology ; Lymphoma - epidemiology ; Male ; Medical Records ; Middle Aged ; Patient Discharge</subject><ispartof>Tumori, 2016-05, Vol.102 (3), p.258-263</ispartof><rights>2016 SAGE Publications</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c314t-cb4b84182a5b66d836f51f4cc206819fec470c844982f56e37590f37be97cf5d3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://journals.sagepub.com/doi/pdf/10.5301/tj.5000472$$EPDF$$P50$$Gsage$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://journals.sagepub.com/doi/10.5301/tj.5000472$$EHTML$$P50$$Gsage$$Hfree_for_read</linktohtml><link.rule.ids>314,776,780,21799,27903,27904,43600,43601</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/26917409$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Vitullo, Felice</creatorcontrib><creatorcontrib>Di Biagio, Katiuscia</creatorcontrib><creatorcontrib>Murgano, Adriano</creatorcontrib><creatorcontrib>Di Bartolomeo, Paolo</creatorcontrib><title>Hospital Discharge Records as Data Source to Monitor Epidemiologic Indicators of Hematologic Malignancies in Abruzzo</title><title>Tumori</title><addtitle>Tumori</addtitle><description>Purpose To test the feasibility of using hospital discharge records (HDR) to monitor frequency indicators of hematologic malignancies (HM) in Abruzzo, an Italian region without a cancer registry. Methods Hospital discharge records contain a primary diagnosis field for principal disease and 5 secondary diagnosis fields for other diseases related or not to the principal diagnosis. In order to build patient indicators of HM—non-Hodgkin lymphoma (NHL), Hodgkin lymphoma (HL), multiple myeloma (MM), and leukemia (acute lymphoblastic leukemia [ALL], chronic lymphoid leukemia [CLL], acute myeloid leukemia [AML], and chronic myeloid leukemia [CML])—residents with first ICD-9-CM code 200-208 in any HDR field, or only in primary field, were identified. Results Among 3,955 patients with first diagnosis of HM registered in primary or secondary fields of HDR in the 2009-2013 period, and never recognized in 2005-2008 (791/year) (60.5/100,000), patients with first HM only in primary field were 2,304 (461/year) (35.2/100,000): 42% were NHL, 34% leukemia, 16% MM, 8% HL. Patient percentage of 461/791/year (58%) (64% among ordinary HDR and 49% in day-hospital HDR) was 35% for CLL (28/81), 47% for MM (74/152), 50% for CML (16/32), 57% for HL (36/63), 62% for NHL (194/314), and 82% for ALL (18/22) and AML (64/78). Conclusions Applying the cancer registries national rate, expected new diagnoses of HM in Abruzzo are about 620/year (46.4/100,000), compared to HDR estimates of 461 and 791/year (primary/all diagnoses fields: 58%). Since this percentage varies between 35% and 82%, our findings on the 2 methods seem useful for a validation process in the starting Cancer Registry.</description><subject>Adult</subject><subject>Aged</subject><subject>Female</subject><subject>Hematologic Neoplasms - epidemiology</subject><subject>Humans</subject><subject>Information Storage and Retrieval</subject><subject>Italy - epidemiology</subject><subject>Leukemia - epidemiology</subject><subject>Lymphoma - epidemiology</subject><subject>Male</subject><subject>Medical Records</subject><subject>Middle Aged</subject><subject>Patient Discharge</subject><issn>0300-8916</issn><issn>2038-2529</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>AFRWT</sourceid><sourceid>EIF</sourceid><recordid>eNptkMtKxDAUhoMoOo5ufADJThGquTVNljJeRhgRvKxLmiZjhrYZk3ShT29kRleuzuGcjx_-D4ATjC5LivBVWl2WCCFWkR0wIYiKgpRE7oIJoggVQmJ-AA5jXGUEEc73wQHhElcMyQlIcx_XLqkO3rio31VYGvhstA9thCrCG5UUfPFj0AYmDx_94JIP8HbtWtM73_ml0_BhaJ1W-R6ht3Bu-rxvPo-qc8tBDdqZCN0Ar5swfn35I7BnVRfN8XZOwdvd7etsXiye7h9m14tCU8xSoRvWCIYFUWXDeSsotyW2TGuCuMDSGs0qpAVjUhBbckOrUiJLq8bIStuypVNwvsldB_8xmpjqPpc0XacG48dY40oyxoUkNKMXG1QHH2Mwtl4H16vwWWNU_1iu06reWs7w6TZ3bHrT_qG_WjNwtgGiWpp6lf0Nued_Ud-TvYS5</recordid><startdate>20160501</startdate><enddate>20160501</enddate><creator>Vitullo, Felice</creator><creator>Di Biagio, Katiuscia</creator><creator>Murgano, Adriano</creator><creator>Di Bartolomeo, Paolo</creator><general>SAGE Publications</general><scope>AFRWT</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>20160501</creationdate><title>Hospital Discharge Records as Data Source to Monitor Epidemiologic Indicators of Hematologic Malignancies in Abruzzo</title><author>Vitullo, Felice ; Di Biagio, Katiuscia ; Murgano, Adriano ; Di Bartolomeo, Paolo</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c314t-cb4b84182a5b66d836f51f4cc206819fec470c844982f56e37590f37be97cf5d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Female</topic><topic>Hematologic Neoplasms - epidemiology</topic><topic>Humans</topic><topic>Information Storage and Retrieval</topic><topic>Italy - epidemiology</topic><topic>Leukemia - epidemiology</topic><topic>Lymphoma - epidemiology</topic><topic>Male</topic><topic>Medical Records</topic><topic>Middle Aged</topic><topic>Patient Discharge</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Vitullo, Felice</creatorcontrib><creatorcontrib>Di Biagio, Katiuscia</creatorcontrib><creatorcontrib>Murgano, Adriano</creatorcontrib><creatorcontrib>Di Bartolomeo, Paolo</creatorcontrib><collection>Sage Journals GOLD Open Access 2024</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Tumori</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Vitullo, Felice</au><au>Di Biagio, Katiuscia</au><au>Murgano, Adriano</au><au>Di Bartolomeo, Paolo</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Hospital Discharge Records as Data Source to Monitor Epidemiologic Indicators of Hematologic Malignancies in Abruzzo</atitle><jtitle>Tumori</jtitle><addtitle>Tumori</addtitle><date>2016-05-01</date><risdate>2016</risdate><volume>102</volume><issue>3</issue><spage>258</spage><epage>263</epage><pages>258-263</pages><issn>0300-8916</issn><eissn>2038-2529</eissn><abstract>Purpose To test the feasibility of using hospital discharge records (HDR) to monitor frequency indicators of hematologic malignancies (HM) in Abruzzo, an Italian region without a cancer registry. Methods Hospital discharge records contain a primary diagnosis field for principal disease and 5 secondary diagnosis fields for other diseases related or not to the principal diagnosis. In order to build patient indicators of HM—non-Hodgkin lymphoma (NHL), Hodgkin lymphoma (HL), multiple myeloma (MM), and leukemia (acute lymphoblastic leukemia [ALL], chronic lymphoid leukemia [CLL], acute myeloid leukemia [AML], and chronic myeloid leukemia [CML])—residents with first ICD-9-CM code 200-208 in any HDR field, or only in primary field, were identified. Results Among 3,955 patients with first diagnosis of HM registered in primary or secondary fields of HDR in the 2009-2013 period, and never recognized in 2005-2008 (791/year) (60.5/100,000), patients with first HM only in primary field were 2,304 (461/year) (35.2/100,000): 42% were NHL, 34% leukemia, 16% MM, 8% HL. Patient percentage of 461/791/year (58%) (64% among ordinary HDR and 49% in day-hospital HDR) was 35% for CLL (28/81), 47% for MM (74/152), 50% for CML (16/32), 57% for HL (36/63), 62% for NHL (194/314), and 82% for ALL (18/22) and AML (64/78). Conclusions Applying the cancer registries national rate, expected new diagnoses of HM in Abruzzo are about 620/year (46.4/100,000), compared to HDR estimates of 461 and 791/year (primary/all diagnoses fields: 58%). Since this percentage varies between 35% and 82%, our findings on the 2 methods seem useful for a validation process in the starting Cancer Registry.</abstract><cop>London, England</cop><pub>SAGE Publications</pub><pmid>26917409</pmid><doi>10.5301/tj.5000472</doi><tpages>6</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 0300-8916
ispartof Tumori, 2016-05, Vol.102 (3), p.258-263
issn 0300-8916
2038-2529
language eng
recordid cdi_proquest_miscellaneous_1794468923
source MEDLINE; SAGE Complete A-Z List
subjects Adult
Aged
Female
Hematologic Neoplasms - epidemiology
Humans
Information Storage and Retrieval
Italy - epidemiology
Leukemia - epidemiology
Lymphoma - epidemiology
Male
Medical Records
Middle Aged
Patient Discharge
title Hospital Discharge Records as Data Source to Monitor Epidemiologic Indicators of Hematologic Malignancies in Abruzzo
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-22T03%3A37%3A53IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Hospital%20Discharge%20Records%20as%20Data%20Source%20to%20Monitor%20Epidemiologic%20Indicators%20of%20Hematologic%20Malignancies%20in%20Abruzzo&rft.jtitle=Tumori&rft.au=Vitullo,%20Felice&rft.date=2016-05-01&rft.volume=102&rft.issue=3&rft.spage=258&rft.epage=263&rft.pages=258-263&rft.issn=0300-8916&rft.eissn=2038-2529&rft_id=info:doi/10.5301/tj.5000472&rft_dat=%3Cproquest_cross%3E1794468923%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1794468923&rft_id=info:pmid/26917409&rft_sage_id=10.5301_tj.5000472&rfr_iscdi=true