The quality of routinely collected maternity data
ABSTRACT Objective To assess the validity of clinical information held on a regional maternity database, the St Mary's Maternity Information System (SMMIS). Design A retrospective review of 892 maternity case notes and matched SMMIS records, by a midwife trained in clinical coding techniques. S...
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Veröffentlicht in: | BJOG : an international journal of obstetrics and gynaecology 1994-12, Vol.101 (12), p.1042-1047 |
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container_title | BJOG : an international journal of obstetrics and gynaecology |
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creator | Cleary, R. Beard, R. W. Coles, J. Devlin, H. B. Hopkins, A. Roberts, S. Schumacher, D. Wickings, H. I. |
description | ABSTRACT
Objective
To assess the validity of clinical information held on a regional maternity database, the St Mary's Maternity Information System (SMMIS).
Design
A retrospective review of 892 maternity case notes and matched SMMIS records, by a midwife trained in clinical coding techniques.
Setting
Three maternity units in the North West Thames Region.
Main outcome measures
Percentage agreement for 17 directly recorded SMMIS data items and equivalent data ed from the notes. Frequencies of diagnosis codes ed from case notes, as compared with those generated by SMMIS on the basis of directly recorded data.
Results
A generally high level of agreement was observed between the s of the notes and the SMMIS records. Of the 17 data items examined, 10 showed 95% agreement or better, and all but two exceeded 80% agreement. Little difference was found between the levels of agreement observed at the three sites. A greater number and range of diagnosis codes were ed from the notes than were generated by SMMIS.
Conclusions
The directly recorded clinical data held on the SMMIS regional database is largely accurate and consistently recorded across a variety of units. The database can therefore be considered a valuable resource for the comparative audit of maternity practice. The SMMIS technique for deriving, on a semi‐automatic basis, diagnosis codes from the directly recorded fields, appears to work moderately well. We suggest that the direct method of data collection used in SMMIS could provide a model for other specialties in the National Health Service. |
doi_str_mv | 10.1111/j.1471-0528.1994.tb13579.x |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_76953170</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>763958243</sourcerecordid><originalsourceid>FETCH-LOGICAL-c4312-15650a2938caf333a973218796faf1bbadbf48c29fbdceea0330eb56e350bb733</originalsourceid><addsrcrecordid>eNqVkE9LwzAYh4Moc04_glBE9NSa5G2bxovo8C-DXeY5JGmCHdm6NS2u397WlV3FXBL4Pe8vyYPQFcER6dbdMiIxIyFOaBYRzuOoVgQSxqPdERofouPfMw4x0OwUnXm_xJikFMMIjVhGU56kY0QWXybYNtIVdRuUNqjKpi7WxrWBLp0zujZ5sJK1qdY9kMtanqMTK503F8M-QZ8vz4vpWzibv75PH2ehjoHQkCRpgiXlkGlpAUByBpRkjKdWWqKUzJWNM025Vbk2RmIAbFSSGkiwUgxggm72vZuq3DbG12JVeG2ck2tTNl6w7gNAGO7A2z9A4ElG477yfk_qqvS-MlZsqmIlq1YQLHqzYil6faLXJ3qzYjArdt3w5XBNo1YmP4wOKrv8esil19LZSq514Q8YAMtYTDvsYY99F860_3iAePqYE9w1_ACRrJTX</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>763958243</pqid></control><display><type>article</type><title>The quality of routinely collected maternity data</title><source>MEDLINE</source><source>Wiley Online Library Journals Frontfile Complete</source><source>Alma/SFX Local Collection</source><creator>Cleary, R. ; Beard, R. W. ; Coles, J. ; Devlin, H. B. ; Hopkins, A. ; Roberts, S. ; Schumacher, D. ; Wickings, H. I.</creator><creatorcontrib>Cleary, R. ; Beard, R. W. ; Coles, J. ; Devlin, H. B. ; Hopkins, A. ; Roberts, S. ; Schumacher, D. ; Wickings, H. I.</creatorcontrib><description>ABSTRACT
Objective
To assess the validity of clinical information held on a regional maternity database, the St Mary's Maternity Information System (SMMIS).
Design
A retrospective review of 892 maternity case notes and matched SMMIS records, by a midwife trained in clinical coding techniques.
Setting
Three maternity units in the North West Thames Region.
Main outcome measures
Percentage agreement for 17 directly recorded SMMIS data items and equivalent data ed from the notes. Frequencies of diagnosis codes ed from case notes, as compared with those generated by SMMIS on the basis of directly recorded data.
Results
A generally high level of agreement was observed between the s of the notes and the SMMIS records. Of the 17 data items examined, 10 showed 95% agreement or better, and all but two exceeded 80% agreement. Little difference was found between the levels of agreement observed at the three sites. A greater number and range of diagnosis codes were ed from the notes than were generated by SMMIS.
Conclusions
The directly recorded clinical data held on the SMMIS regional database is largely accurate and consistently recorded across a variety of units. The database can therefore be considered a valuable resource for the comparative audit of maternity practice. The SMMIS technique for deriving, on a semi‐automatic basis, diagnosis codes from the directly recorded fields, appears to work moderately well. We suggest that the direct method of data collection used in SMMIS could provide a model for other specialties in the National Health Service.</description><identifier>ISSN: 1470-0328</identifier><identifier>ISSN: 0306-5456</identifier><identifier>EISSN: 1471-0528</identifier><identifier>EISSN: 1365-215X</identifier><identifier>DOI: 10.1111/j.1471-0528.1994.tb13579.x</identifier><identifier>PMID: 7826956</identifier><identifier>CODEN: BJOGAS</identifier><language>eng</language><publisher>Oxford, UK: Blackwell Publishing Ltd</publisher><subject>Biological and medical sciences ; Computerized management (medical records, files, hospital management) ; Computerized, statistical medical data processing and models in biomedicine ; Data Collection ; Diagnosis ; England ; Female ; Humans ; Information Systems - standards ; Maternal Health Services - standards ; Medical Records - standards ; Medical sciences ; Pregnancy ; Quality of Health Care ; Retrospective Studies</subject><ispartof>BJOG : an international journal of obstetrics and gynaecology, 1994-12, Vol.101 (12), p.1042-1047</ispartof><rights>1995 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4312-15650a2938caf333a973218796faf1bbadbf48c29fbdceea0330eb56e350bb733</citedby><cites>FETCH-LOGICAL-c4312-15650a2938caf333a973218796faf1bbadbf48c29fbdceea0330eb56e350bb733</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1111%2Fj.1471-0528.1994.tb13579.x$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2Fj.1471-0528.1994.tb13579.x$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,776,780,1411,27901,27902,45550,45551</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=3378742$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/7826956$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Cleary, R.</creatorcontrib><creatorcontrib>Beard, R. W.</creatorcontrib><creatorcontrib>Coles, J.</creatorcontrib><creatorcontrib>Devlin, H. B.</creatorcontrib><creatorcontrib>Hopkins, A.</creatorcontrib><creatorcontrib>Roberts, S.</creatorcontrib><creatorcontrib>Schumacher, D.</creatorcontrib><creatorcontrib>Wickings, H. I.</creatorcontrib><title>The quality of routinely collected maternity data</title><title>BJOG : an international journal of obstetrics and gynaecology</title><addtitle>Br J Obstet Gynaecol</addtitle><description>ABSTRACT
Objective
To assess the validity of clinical information held on a regional maternity database, the St Mary's Maternity Information System (SMMIS).
Design
A retrospective review of 892 maternity case notes and matched SMMIS records, by a midwife trained in clinical coding techniques.
Setting
Three maternity units in the North West Thames Region.
Main outcome measures
Percentage agreement for 17 directly recorded SMMIS data items and equivalent data ed from the notes. Frequencies of diagnosis codes ed from case notes, as compared with those generated by SMMIS on the basis of directly recorded data.
Results
A generally high level of agreement was observed between the s of the notes and the SMMIS records. Of the 17 data items examined, 10 showed 95% agreement or better, and all but two exceeded 80% agreement. Little difference was found between the levels of agreement observed at the three sites. A greater number and range of diagnosis codes were ed from the notes than were generated by SMMIS.
Conclusions
The directly recorded clinical data held on the SMMIS regional database is largely accurate and consistently recorded across a variety of units. The database can therefore be considered a valuable resource for the comparative audit of maternity practice. The SMMIS technique for deriving, on a semi‐automatic basis, diagnosis codes from the directly recorded fields, appears to work moderately well. We suggest that the direct method of data collection used in SMMIS could provide a model for other specialties in the National Health Service.</description><subject>Biological and medical sciences</subject><subject>Computerized management (medical records, files, hospital management)</subject><subject>Computerized, statistical medical data processing and models in biomedicine</subject><subject>Data Collection</subject><subject>Diagnosis</subject><subject>England</subject><subject>Female</subject><subject>Humans</subject><subject>Information Systems - standards</subject><subject>Maternal Health Services - standards</subject><subject>Medical Records - standards</subject><subject>Medical sciences</subject><subject>Pregnancy</subject><subject>Quality of Health Care</subject><subject>Retrospective Studies</subject><issn>1470-0328</issn><issn>0306-5456</issn><issn>1471-0528</issn><issn>1365-215X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1994</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqVkE9LwzAYh4Moc04_glBE9NSa5G2bxovo8C-DXeY5JGmCHdm6NS2u397WlV3FXBL4Pe8vyYPQFcER6dbdMiIxIyFOaBYRzuOoVgQSxqPdERofouPfMw4x0OwUnXm_xJikFMMIjVhGU56kY0QWXybYNtIVdRuUNqjKpi7WxrWBLp0zujZ5sJK1qdY9kMtanqMTK503F8M-QZ8vz4vpWzibv75PH2ehjoHQkCRpgiXlkGlpAUByBpRkjKdWWqKUzJWNM025Vbk2RmIAbFSSGkiwUgxggm72vZuq3DbG12JVeG2ck2tTNl6w7gNAGO7A2z9A4ElG477yfk_qqvS-MlZsqmIlq1YQLHqzYil6faLXJ3qzYjArdt3w5XBNo1YmP4wOKrv8esil19LZSq514Q8YAMtYTDvsYY99F860_3iAePqYE9w1_ACRrJTX</recordid><startdate>199412</startdate><enddate>199412</enddate><creator>Cleary, R.</creator><creator>Beard, R. W.</creator><creator>Coles, J.</creator><creator>Devlin, H. B.</creator><creator>Hopkins, A.</creator><creator>Roberts, S.</creator><creator>Schumacher, D.</creator><creator>Wickings, H. I.</creator><general>Blackwell Publishing Ltd</general><general>Blackwell</general><scope>IQODW</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>ASE</scope><scope>FPQ</scope><scope>K6X</scope><scope>7X8</scope></search><sort><creationdate>199412</creationdate><title>The quality of routinely collected maternity data</title><author>Cleary, R. ; Beard, R. W. ; Coles, J. ; Devlin, H. B. ; Hopkins, A. ; Roberts, S. ; Schumacher, D. ; Wickings, H. I.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4312-15650a2938caf333a973218796faf1bbadbf48c29fbdceea0330eb56e350bb733</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1994</creationdate><topic>Biological and medical sciences</topic><topic>Computerized management (medical records, files, hospital management)</topic><topic>Computerized, statistical medical data processing and models in biomedicine</topic><topic>Data Collection</topic><topic>Diagnosis</topic><topic>England</topic><topic>Female</topic><topic>Humans</topic><topic>Information Systems - standards</topic><topic>Maternal Health Services - standards</topic><topic>Medical Records - standards</topic><topic>Medical sciences</topic><topic>Pregnancy</topic><topic>Quality of Health Care</topic><topic>Retrospective Studies</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Cleary, R.</creatorcontrib><creatorcontrib>Beard, R. W.</creatorcontrib><creatorcontrib>Coles, J.</creatorcontrib><creatorcontrib>Devlin, H. B.</creatorcontrib><creatorcontrib>Hopkins, A.</creatorcontrib><creatorcontrib>Roberts, S.</creatorcontrib><creatorcontrib>Schumacher, D.</creatorcontrib><creatorcontrib>Wickings, H. I.</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>British Nursing Index</collection><collection>British Nursing Index (BNI) (1985 to Present)</collection><collection>British Nursing Index</collection><collection>MEDLINE - Academic</collection><jtitle>BJOG : an international journal of obstetrics and gynaecology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Cleary, R.</au><au>Beard, R. W.</au><au>Coles, J.</au><au>Devlin, H. B.</au><au>Hopkins, A.</au><au>Roberts, S.</au><au>Schumacher, D.</au><au>Wickings, H. I.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The quality of routinely collected maternity data</atitle><jtitle>BJOG : an international journal of obstetrics and gynaecology</jtitle><addtitle>Br J Obstet Gynaecol</addtitle><date>1994-12</date><risdate>1994</risdate><volume>101</volume><issue>12</issue><spage>1042</spage><epage>1047</epage><pages>1042-1047</pages><issn>1470-0328</issn><issn>0306-5456</issn><eissn>1471-0528</eissn><eissn>1365-215X</eissn><coden>BJOGAS</coden><abstract>ABSTRACT
Objective
To assess the validity of clinical information held on a regional maternity database, the St Mary's Maternity Information System (SMMIS).
Design
A retrospective review of 892 maternity case notes and matched SMMIS records, by a midwife trained in clinical coding techniques.
Setting
Three maternity units in the North West Thames Region.
Main outcome measures
Percentage agreement for 17 directly recorded SMMIS data items and equivalent data ed from the notes. Frequencies of diagnosis codes ed from case notes, as compared with those generated by SMMIS on the basis of directly recorded data.
Results
A generally high level of agreement was observed between the s of the notes and the SMMIS records. Of the 17 data items examined, 10 showed 95% agreement or better, and all but two exceeded 80% agreement. Little difference was found between the levels of agreement observed at the three sites. A greater number and range of diagnosis codes were ed from the notes than were generated by SMMIS.
Conclusions
The directly recorded clinical data held on the SMMIS regional database is largely accurate and consistently recorded across a variety of units. The database can therefore be considered a valuable resource for the comparative audit of maternity practice. The SMMIS technique for deriving, on a semi‐automatic basis, diagnosis codes from the directly recorded fields, appears to work moderately well. We suggest that the direct method of data collection used in SMMIS could provide a model for other specialties in the National Health Service.</abstract><cop>Oxford, UK</cop><pub>Blackwell Publishing Ltd</pub><pmid>7826956</pmid><doi>10.1111/j.1471-0528.1994.tb13579.x</doi><tpages>6</tpages></addata></record> |
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language | eng |
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source | MEDLINE; Wiley Online Library Journals Frontfile Complete; Alma/SFX Local Collection |
subjects | Biological and medical sciences Computerized management (medical records, files, hospital management) Computerized, statistical medical data processing and models in biomedicine Data Collection Diagnosis England Female Humans Information Systems - standards Maternal Health Services - standards Medical Records - standards Medical sciences Pregnancy Quality of Health Care Retrospective Studies |
title | The quality of routinely collected maternity data |
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