MovDisordV3, Ncbi, Curation, bibRecord, 002348

Optimizing Algorithms to Identify Parkinson’s Disease Cases Within an Administrative Database

Identifieur interne : 002348 ( Ncbi/Curation ); précédent : 002347; suivant : 002349

Optimizing Algorithms to Identify Parkinson’s Disease Cases Within an Administrative Database

Auteurs : Nicholas R. Szumski [États-Unis] ; Eric M. Cheng [États-Unis]

Source :

Movement disorders : official journal of the Movement Disorder Society [ 0885-3185 ] ; 2009.

RBID : PMC:2647991

English descriptors

KwdEn :
- Aged, Aged, 80 and over, Algorithms, Ambulatory Care Facilities (statistics & numerical data), Databases, Factual, Diagnostic Errors, Female, Humans, International Classification of Diseases, Los Angeles (epidemiology), Male, Middle Aged, Outpatients (statistics & numerical data), Parkinson Disease (diagnosis), Parkinson Disease (epidemiology), Sensitivity and Specificity, United States, United States Department of Veterans Affairs (organization & administration).
MESH :
- geographic , epidemiology : Los Angeles.
- diagnosis : Parkinson Disease.
- epidemiology : Parkinson Disease.
- organization & administration : United States Department of Veterans Affairs.
- statistics & numerical data : Ambulatory Care Facilities, Outpatients.
- Aged, Aged, 80 and over, Algorithms, Databases, Factual, Diagnostic Errors, Female, Humans, International Classification of Diseases, Male, Middle Aged, Sensitivity and Specificity, United States.

Abstract

Patients assigned the diagnostic ICD-9-CM code for Parkinson’s disease (PD) in an administrative database may not truly carry that diagnosis because of the various error sources. Improved ability to identify PD cases within databases may facilitate specific research goals. Experienced chart reviewers abstracted the working diagnosis of all 577 patients assigned diagnostic code 332.0 (PD) during 1 year at a VA Healthcare System. We then tested the ability of various algorithms making use of PD and non-PD diagnostic codes, specialty of clinics visited, and medication prescription data to predict the abstracted working diagnosis. Chart review determined 436 (75.6%) patients to be PD or Possibly PD, and 141 (24.4%) to be Not PD. Our tiered consensus algorithm preferentially used data from specialists over nonspecialists improved PPV to 83.2% (P = 0.003 vs. baseline). When presence of a PD prescription was an additional criterion, PPV increased further to 88.2% (P = 0.04 vs. without medication criterion), but sensitivity decreased from 87.4 to 77.1% (P = 0.0001). We demonstrate that algorithms provide better identification of PD cases than using a single occurrence of the diagnostic code for PD, and modifications of such algorithms can be tuned to maximize parameters that best meet the goals of a particular database query.

Url:

http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2647991

DOI: 10.1002/mds.22283
PubMed: 18816696
PubMed Central: 2647991

Links toward previous steps (curation, corpus...)

to stream Pmc, to step Corpus: Pour aller vers cette notice dans l'étape Curation :000037
to stream Pmc, to step Curation: Pour aller vers cette notice dans l'étape Curation :000037
to stream Pmc, to step Checkpoint: Pour aller vers cette notice dans l'étape Curation :000398
to stream PubMed, to step Corpus: Pour aller vers cette notice dans l'étape Curation :002015
to stream PubMed, to step Curation: Pour aller vers cette notice dans l'étape Curation :002015
to stream PubMed, to step Checkpoint: Pour aller vers cette notice dans l'étape Curation :001C72
to stream Ncbi, to step Merge: Pour aller vers cette notice dans l'étape Curation :002348

Links to Exploration step

PMC:2647991

Le document en format XML

<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Optimizing Algorithms to Identify Parkinson’s Disease Cases Within an Administrative Database</title>
<author><name sortKey="Szumski, Nicholas R" sort="Szumski, Nicholas R" uniqKey="Szumski N" first="Nicholas R." last="Szumski">Nicholas R. Szumski</name>
<affiliation wicri:level="2"><nlm:aff id="A1">Department of Neurology, UCLA, Los Angeles, California, USA</nlm:aff>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Department of Neurology, UCLA, Los Angeles, California</wicri:regionArea>
<placeName><region type="state">Californie</region>
</placeName>
</affiliation>
<affiliation wicri:level="2"><nlm:aff id="A2">Southwest Parkinson’s Disease Research, Education, and Clinical Center (PADRECC), Los Angeles, California, USA</nlm:aff>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Southwest Parkinson’s Disease Research, Education, and Clinical Center (PADRECC), Los Angeles, California</wicri:regionArea>
<placeName><region type="state">Californie</region>
</placeName>
</affiliation>
<affiliation wicri:level="2"><nlm:aff id="A3">Department of Neurology, VA Greater Los Angeles Healthcare System, Los Angeles, California, USA</nlm:aff>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Department of Neurology, VA Greater Los Angeles Healthcare System, Los Angeles, California</wicri:regionArea>
<placeName><region type="state">Californie</region>
</placeName>
</affiliation>
</author>
<author><name sortKey="Cheng, Eric M" sort="Cheng, Eric M" uniqKey="Cheng E" first="Eric M." last="Cheng">Eric M. Cheng</name>
<affiliation wicri:level="2"><nlm:aff id="A1">Department of Neurology, UCLA, Los Angeles, California, USA</nlm:aff>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Department of Neurology, UCLA, Los Angeles, California</wicri:regionArea>
<placeName><region type="state">Californie</region>
</placeName>
</affiliation>
<affiliation wicri:level="2"><nlm:aff id="A2">Southwest Parkinson’s Disease Research, Education, and Clinical Center (PADRECC), Los Angeles, California, USA</nlm:aff>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Southwest Parkinson’s Disease Research, Education, and Clinical Center (PADRECC), Los Angeles, California</wicri:regionArea>
<placeName><region type="state">Californie</region>
</placeName>
</affiliation>
<affiliation wicri:level="2"><nlm:aff id="A3">Department of Neurology, VA Greater Los Angeles Healthcare System, Los Angeles, California, USA</nlm:aff>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Department of Neurology, VA Greater Los Angeles Healthcare System, Los Angeles, California</wicri:regionArea>
<placeName><region type="state">Californie</region>
</placeName>
</affiliation>
</author>
</titleStmt>
<publicationStmt><idno type="wicri:source">PMC</idno>
<idno type="pmid">18816696</idno>
<idno type="pmc">2647991</idno>
<idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2647991</idno>
<idno type="RBID">PMC:2647991</idno>
<idno type="doi">10.1002/mds.22283</idno>
<date when="2009">2009</date>
<idno type="wicri:Area/Pmc/Corpus">000037</idno>
<idno type="wicri:Area/Pmc/Curation">000037</idno>
<idno type="wicri:Area/Pmc/Checkpoint">000398</idno>
<idno type="wicri:source">PubMed</idno>
<idno type="wicri:Area/PubMed/Corpus">002015</idno>
<idno type="wicri:Area/PubMed/Curation">002015</idno>
<idno type="wicri:Area/PubMed/Checkpoint">001C72</idno>
<idno type="wicri:Area/Ncbi/Merge">002348</idno>
<idno type="wicri:Area/Ncbi/Curation">002348</idno>
</publicationStmt>
<sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">Optimizing Algorithms to Identify Parkinson’s Disease Cases Within an Administrative Database</title>
<author><name sortKey="Szumski, Nicholas R" sort="Szumski, Nicholas R" uniqKey="Szumski N" first="Nicholas R." last="Szumski">Nicholas R. Szumski</name>
<affiliation wicri:level="2"><nlm:aff id="A1">Department of Neurology, UCLA, Los Angeles, California, USA</nlm:aff>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Department of Neurology, UCLA, Los Angeles, California</wicri:regionArea>
<placeName><region type="state">Californie</region>
</placeName>
</affiliation>
<affiliation wicri:level="2"><nlm:aff id="A2">Southwest Parkinson’s Disease Research, Education, and Clinical Center (PADRECC), Los Angeles, California, USA</nlm:aff>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Southwest Parkinson’s Disease Research, Education, and Clinical Center (PADRECC), Los Angeles, California</wicri:regionArea>
<placeName><region type="state">Californie</region>
</placeName>
</affiliation>
<affiliation wicri:level="2"><nlm:aff id="A3">Department of Neurology, VA Greater Los Angeles Healthcare System, Los Angeles, California, USA</nlm:aff>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Department of Neurology, VA Greater Los Angeles Healthcare System, Los Angeles, California</wicri:regionArea>
<placeName><region type="state">Californie</region>
</placeName>
</affiliation>
</author>
<author><name sortKey="Cheng, Eric M" sort="Cheng, Eric M" uniqKey="Cheng E" first="Eric M." last="Cheng">Eric M. Cheng</name>
<affiliation wicri:level="2"><nlm:aff id="A1">Department of Neurology, UCLA, Los Angeles, California, USA</nlm:aff>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Department of Neurology, UCLA, Los Angeles, California</wicri:regionArea>
<placeName><region type="state">Californie</region>
</placeName>
</affiliation>
<affiliation wicri:level="2"><nlm:aff id="A2">Southwest Parkinson’s Disease Research, Education, and Clinical Center (PADRECC), Los Angeles, California, USA</nlm:aff>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Southwest Parkinson’s Disease Research, Education, and Clinical Center (PADRECC), Los Angeles, California</wicri:regionArea>
<placeName><region type="state">Californie</region>
</placeName>
</affiliation>
<affiliation wicri:level="2"><nlm:aff id="A3">Department of Neurology, VA Greater Los Angeles Healthcare System, Los Angeles, California, USA</nlm:aff>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Department of Neurology, VA Greater Los Angeles Healthcare System, Los Angeles, California</wicri:regionArea>
<placeName><region type="state">Californie</region>
</placeName>
</affiliation>
</author>
</analytic>
<series><title level="j">Movement disorders : official journal of the Movement Disorder Society</title>
<idno type="ISSN">0885-3185</idno>
<idno type="eISSN">1531-8257</idno>
<imprint><date when="2009">2009</date>
</imprint>
</series>
</biblStruct>
</sourceDesc>
</fileDesc>
<profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Aged</term>
<term>Aged, 80 and over</term>
<term>Algorithms</term>
<term>Ambulatory Care Facilities (statistics & numerical data)</term>
<term>Databases, Factual</term>
<term>Diagnostic Errors</term>
<term>Female</term>
<term>Humans</term>
<term>International Classification of Diseases</term>
<term>Los Angeles (epidemiology)</term>
<term>Male</term>
<term>Middle Aged</term>
<term>Outpatients (statistics & numerical data)</term>
<term>Parkinson Disease (diagnosis)</term>
<term>Parkinson Disease (epidemiology)</term>
<term>Sensitivity and Specificity</term>
<term>United States</term>
<term>United States Department of Veterans Affairs (organization & administration)</term>
</keywords>
<keywords scheme="MESH" type="geographic" qualifier="epidemiology" xml:lang="en"><term>Los Angeles</term>
</keywords>
<keywords scheme="MESH" qualifier="diagnosis" xml:lang="en"><term>Parkinson Disease</term>
</keywords>
<keywords scheme="MESH" qualifier="epidemiology" xml:lang="en"><term>Parkinson Disease</term>
</keywords>
<keywords scheme="MESH" qualifier="organization & administration" xml:lang="en"><term>United States Department of Veterans Affairs</term>
</keywords>
<keywords scheme="MESH" qualifier="statistics & numerical data" xml:lang="en"><term>Ambulatory Care Facilities</term>
<term>Outpatients</term>
</keywords>
<keywords scheme="MESH" xml:lang="en"><term>Aged</term>
<term>Aged, 80 and over</term>
<term>Algorithms</term>
<term>Databases, Factual</term>
<term>Diagnostic Errors</term>
<term>Female</term>
<term>Humans</term>
<term>International Classification of Diseases</term>
<term>Male</term>
<term>Middle Aged</term>
<term>Sensitivity and Specificity</term>
<term>United States</term>
</keywords>
</textClass>
</profileDesc>
</teiHeader>
<front><div type="abstract" xml:lang="en"><p id="P2">Patients assigned the diagnostic ICD-9-CM code for Parkinson’s disease (PD) in an administrative database may not truly carry that diagnosis because of the various error sources. Improved ability to identify PD cases within databases may facilitate specific research goals. Experienced chart reviewers abstracted the working diagnosis of all 577 patients assigned diagnostic code 332.0 (PD) during 1 year at a VA Healthcare System. We then tested the ability of various algorithms making use of PD and non-PD diagnostic codes, specialty of clinics visited, and medication prescription data to predict the abstracted working diagnosis. Chart review determined 436 (75.6%) patients to be PD or Possibly PD, and 141 (24.4%) to be Not PD. Our tiered consensus algorithm preferentially used data from specialists over nonspecialists improved PPV to 83.2% (<italic>P</italic>
 = 0.003 vs. baseline). When presence of a PD prescription was an additional criterion, PPV increased further to 88.2% (<italic>P</italic>
 = 0.04 vs. without medication criterion), but sensitivity decreased from 87.4 to 77.1% (<italic>P</italic>
 = 0.0001). We demonstrate that algorithms provide better identification of PD cases than using a single occurrence of the diagnostic code for PD, and modifications of such algorithms can be tuned to maximize parameters that best meet the goals of a particular database query.</p>
</div>
</front>
</TEI>
</record>

Pour manipuler ce document sous Unix (Dilib)

EXPLOR_STEP=$WICRI_ROOT/Wicri/Santé/explor/MovDisordV3/Data/Ncbi/Curation

HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 002348 | SxmlIndent | more

HfdSelect -h $EXPLOR_AREA/Data/Ncbi/Curation/biblio.hfd -nk 002348 | SxmlIndent | more

Pour mettre un lien sur cette page dans le réseau Wicri

{{Explor lien
   |wiki=    Wicri/Santé
   |area=    MovDisordV3
   |flux=    Ncbi
   |étape=   Curation
   |type=    RBID
   |clé=     PMC:2647991
   |texte=   Optimizing Algorithms to Identify Parkinson’s Disease Cases Within an Administrative Database
}}

Pour générer des pages wiki

HfdIndexSelect -h $EXPLOR_AREA/Data/Ncbi/Curation/RBID.i   -Sk "pubmed:18816696" \
       | HfdSelect -Kh $EXPLOR_AREA/Data/Ncbi/Curation/biblio.hfd   \
       | NlmPubMed2Wicri -a MovDisordV3

This area was generated with Dilib version V0.6.23.
Data generation: Sun Jul 3 12:29:32 2016. Site generation: Wed Feb 14 10:52:30 2024

	Movement Disorders (revue)
	Attention, ce site est en cours de développement ! Attention, site généré par des moyens informatiques à partir de corpus bruts. Les informations ne sont donc pas validées.

Movement Disorders (revue)

Optimizing Algorithms to Identify Parkinson’s Disease Cases Within an Administrative Database

Optimizing Algorithms to Identify Parkinson’s Disease Cases Within an Administrative Database

Source :

English descriptors

Abstract

Links toward previous steps (curation, corpus...)

Links to Exploration step

Le document en format XML

Pour manipuler ce document sous Unix (Dilib)

Pour mettre un lien sur cette page dans le réseau Wicri

Pour générer des pages wiki