Operational feasibility of lot quality assurance sampling (LQAS) as a tool in routine process monitoring of filariasis control programmes.
Identifieur interne : 003915 ( PubMed/Curation ); précédent : 003914; suivant : 003916Operational feasibility of lot quality assurance sampling (LQAS) as a tool in routine process monitoring of filariasis control programmes.
Auteurs : P. Vanamail [Inde] ; S. Subramanian ; A. Srividya ; R. Ravi ; K. Krishnamoorthy ; P K DasSource :
- Tropical medicine & international health : TM & IH [ 1360-2276 ] ; 2006.
Descripteurs français
- KwdFr :
- Adolescent, Adulte, Adulte d'âge moyen, Analyse coût-bénéfice, Assurance de la qualité des soins de santé (), Assurance de la qualité des soins de santé (économie), Enfant, Enfant d'âge préscolaire, Filariose lymphatique (), Filariose lymphatique (diagnostic), Filariose lymphatique (épidémiologie), Humains, Inde (épidémiologie), Répartition par âge, Santé en zone rurale, Sujet âgé, Sujet âgé de 80 ans ou plus, Surveillance de la population (), Taille d'échantillon, Études de faisabilité, Études par échantillonnage.
- MESH :
- diagnostic : Filariose lymphatique.
- économie : Assurance de la qualité des soins de santé.
- épidémiologie : Filariose lymphatique, Inde.
- Adolescent, Adulte, Adulte d'âge moyen, Analyse coût-bénéfice, Assurance de la qualité des soins de santé, Enfant, Enfant d'âge préscolaire, Filariose lymphatique, Humains, Répartition par âge, Santé en zone rurale, Sujet âgé, Sujet âgé de 80 ans ou plus, Surveillance de la population, Taille d'échantillon, Études de faisabilité, Études par échantillonnage.
- Wicri :
- geographic : Inde.
English descriptors
- KwdEn :
- Adolescent, Adult, Age Distribution, Aged, Aged, 80 and over, Child, Child, Preschool, Cost-Benefit Analysis, Elephantiasis, Filarial (diagnosis), Elephantiasis, Filarial (epidemiology), Elephantiasis, Filarial (prevention & control), Feasibility Studies, Humans, India (epidemiology), Middle Aged, Population Surveillance (methods), Quality Assurance, Health Care (economics), Quality Assurance, Health Care (methods), Rural Health, Sample Size, Sampling Studies.
- MESH :
- geographic , epidemiology : India.
- diagnosis : Elephantiasis, Filarial.
- economics : Quality Assurance, Health Care.
- epidemiology : Elephantiasis, Filarial.
- methods : Population Surveillance, Quality Assurance, Health Care.
- prevention & control : Elephantiasis, Filarial.
- Adolescent, Adult, Age Distribution, Aged, Aged, 80 and over, Child, Child, Preschool, Cost-Benefit Analysis, Feasibility Studies, Humans, Middle Aged, Rural Health, Sample Size, Sampling Studies.
Abstract
Lot quality assurance sampling (LQAS) with two-stage sampling plan was applied for rapid monitoring of coverage after every round of mass drug administration (MDA). A Primary Health Centre (PHC) consisting of 29 villages in Thiruvannamalai district, Tamil Nadu was selected as the study area. Two threshold levels of coverage were used: threshold A (maximum: 60%; minimum: 40%) and threshold B (maximum: 80%; minimum: 60%). Based on these thresholds, one sampling plan each for A and B was derived with the necessary sample size and the number of allowable defectives (i.e. defectives mean those who have not received the drug). Using data generated through simple random sampling (SRSI) of 1,750 individuals in the study area, LQAS was validated with the above two sampling plans for its diagnostic and field applicability. Simultaneously, a household survey (SRSH) was conducted for validation and cost-effectiveness analysis. Based on SRSH survey, the estimated coverage was 93.5% (CI: 91.7-95.3%). LQAS with threshold A revealed that by sampling a maximum of 14 individuals and by allowing four defectives, the coverage was >or=60% in >90% of villages at the first stage. Similarly, with threshold B by sampling a maximum of nine individuals and by allowing four defectives, the coverage was >or=80% in >90% of villages at the first stage. These analyses suggest that the sampling plan (14,4,52,25) of threshold A may be adopted in MDA to assess if a minimum coverage of 60% has been achieved. However, to achieve the goal of elimination, the sampling plan (9, 4, 42, 29) of threshold B can identify villages in which the coverage is <80% so that remedial measures can be taken. Cost-effectiveness analysis showed that both options of LQAS are more cost-effective than SRSH to detect a village with a given level of coverage. The cost per village was US dollars 76.18 under SRSH. The cost of LQAS was US dollars 65.81 and 55.63 per village for thresholds A and B respectively. The total financial cost of classifying a village correctly with the given threshold level of LQAS could be reduced by 14% and 26% of the cost of conventional SRSH method.
DOI: 10.1111/j.1365-3156.2006.01670.x
PubMed: 16903888
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Krishnamoorthy</name></author><author><name sortKey="Das, P K" sort="Das, P K" uniqKey="Das P" first="P K" last="Das">P K Das</name></author></analytic><series><title level="j">Tropical medicine & international health : TM & IH</title><idno type="ISSN">1360-2276</idno><imprint><date when="2006" type="published">2006</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Adolescent</term><term>Adult</term><term>Age Distribution</term><term>Aged</term><term>Aged, 80 and over</term><term>Child</term><term>Child, Preschool</term><term>Cost-Benefit Analysis</term><term>Elephantiasis, Filarial (diagnosis)</term><term>Elephantiasis, Filarial (epidemiology)</term><term>Elephantiasis, Filarial (prevention & control)</term><term>Feasibility Studies</term><term>Humans</term><term>India (epidemiology)</term><term>Middle Aged</term><term>Population Surveillance (methods)</term><term>Quality Assurance, Health Care (economics)</term><term>Quality Assurance, Health Care (methods)</term><term>Rural Health</term><term>Sample Size</term><term>Sampling Studies</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Adolescent</term><term>Adulte</term><term>Adulte d'âge moyen</term><term>Analyse coût-bénéfice</term><term>Assurance de la qualité des soins de santé ()</term><term>Assurance de la qualité des soins de santé (économie)</term><term>Enfant</term><term>Enfant d'âge préscolaire</term><term>Filariose lymphatique ()</term><term>Filariose lymphatique (diagnostic)</term><term>Filariose lymphatique (épidémiologie)</term><term>Humains</term><term>Inde (épidémiologie)</term><term>Répartition par âge</term><term>Santé en zone rurale</term><term>Sujet âgé</term><term>Sujet âgé de 80 ans ou plus</term><term>Surveillance de la population ()</term><term>Taille d'échantillon</term><term>Études de faisabilité</term><term>Études par échantillonnage</term></keywords><keywords scheme="MESH" type="geographic" qualifier="epidemiology" xml:lang="en"><term>India</term></keywords><keywords scheme="MESH" qualifier="diagnosis" xml:lang="en"><term>Elephantiasis, Filarial</term></keywords><keywords scheme="MESH" qualifier="diagnostic" xml:lang="fr"><term>Filariose lymphatique</term></keywords><keywords scheme="MESH" qualifier="economics" xml:lang="en"><term>Quality Assurance, Health Care</term></keywords><keywords scheme="MESH" qualifier="epidemiology" xml:lang="en"><term>Elephantiasis, Filarial</term></keywords><keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Population Surveillance</term><term>Quality Assurance, Health Care</term></keywords><keywords scheme="MESH" qualifier="prevention & control" xml:lang="en"><term>Elephantiasis, Filarial</term></keywords><keywords scheme="MESH" qualifier="économie" xml:lang="fr"><term>Assurance de la qualité des soins de santé</term></keywords><keywords scheme="MESH" qualifier="épidémiologie" xml:lang="fr"><term>Filariose lymphatique</term><term>Inde</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Adolescent</term><term>Adult</term><term>Age Distribution</term><term>Aged</term><term>Aged, 80 and over</term><term>Child</term><term>Child, Preschool</term><term>Cost-Benefit Analysis</term><term>Feasibility Studies</term><term>Humans</term><term>Middle Aged</term><term>Rural Health</term><term>Sample Size</term><term>Sampling Studies</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Adolescent</term><term>Adulte</term><term>Adulte d'âge moyen</term><term>Analyse coût-bénéfice</term><term>Assurance de la qualité des soins de santé</term><term>Enfant</term><term>Enfant d'âge préscolaire</term><term>Filariose lymphatique</term><term>Humains</term><term>Répartition par âge</term><term>Santé en zone rurale</term><term>Sujet âgé</term><term>Sujet âgé de 80 ans ou plus</term><term>Surveillance de la population</term><term>Taille d'échantillon</term><term>Études de faisabilité</term><term>Études par échantillonnage</term></keywords><keywords scheme="Wicri" type="geographic" xml:lang="fr"><term>Inde</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Lot quality assurance sampling (LQAS) with two-stage sampling plan was applied for rapid monitoring of coverage after every round of mass drug administration (MDA). A Primary Health Centre (PHC) consisting of 29 villages in Thiruvannamalai district, Tamil Nadu was selected as the study area. Two threshold levels of coverage were used: threshold A (maximum: 60%; minimum: 40%) and threshold B (maximum: 80%; minimum: 60%). Based on these thresholds, one sampling plan each for A and B was derived with the necessary sample size and the number of allowable defectives (i.e. defectives mean those who have not received the drug). Using data generated through simple random sampling (SRSI) of 1,750 individuals in the study area, LQAS was validated with the above two sampling plans for its diagnostic and field applicability. Simultaneously, a household survey (SRSH) was conducted for validation and cost-effectiveness analysis. Based on SRSH survey, the estimated coverage was 93.5% (CI: 91.7-95.3%). LQAS with threshold A revealed that by sampling a maximum of 14 individuals and by allowing four defectives, the coverage was >or=60% in >90% of villages at the first stage. Similarly, with threshold B by sampling a maximum of nine individuals and by allowing four defectives, the coverage was >or=80% in >90% of villages at the first stage. These analyses suggest that the sampling plan (14,4,52,25) of threshold A may be adopted in MDA to assess if a minimum coverage of 60% has been achieved. However, to achieve the goal of elimination, the sampling plan (9, 4, 42, 29) of threshold B can identify villages in which the coverage is <80% so that remedial measures can be taken. Cost-effectiveness analysis showed that both options of LQAS are more cost-effective than SRSH to detect a village with a given level of coverage. The cost per village was US dollars 76.18 under SRSH. The cost of LQAS was US dollars 65.81 and 55.63 per village for thresholds A and B respectively. The total financial cost of classifying a village correctly with the given threshold level of LQAS could be reduced by 14% and 26% of the cost of conventional SRSH method.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">16903888</PMID><DateCreated><Year>2006</Year><Month>08</Month><Day>14</Day></DateCreated><DateCompleted><Year>2006</Year><Month>08</Month><Day>28</Day></DateCompleted><DateRevised><Year>2006</Year><Month>11</Month><Day>15</Day></DateRevised><Article PubModel="Print"><Journal><ISSN IssnType="Print">1360-2276</ISSN><JournalIssue CitedMedium="Print"><Volume>11</Volume><Issue>8</Issue><PubDate><Year>2006</Year><Month>Aug</Month></PubDate></JournalIssue><Title>Tropical medicine & international health : TM & IH</Title><ISOAbbreviation>Trop. Med. Int. Health</ISOAbbreviation></Journal><ArticleTitle>Operational feasibility of lot quality assurance sampling (LQAS) as a tool in routine process monitoring of filariasis control programmes.</ArticleTitle><Pagination><MedlinePgn>1256-63</MedlinePgn></Pagination><Abstract><AbstractText>Lot quality assurance sampling (LQAS) with two-stage sampling plan was applied for rapid monitoring of coverage after every round of mass drug administration (MDA). A Primary Health Centre (PHC) consisting of 29 villages in Thiruvannamalai district, Tamil Nadu was selected as the study area. Two threshold levels of coverage were used: threshold A (maximum: 60%; minimum: 40%) and threshold B (maximum: 80%; minimum: 60%). Based on these thresholds, one sampling plan each for A and B was derived with the necessary sample size and the number of allowable defectives (i.e. defectives mean those who have not received the drug). Using data generated through simple random sampling (SRSI) of 1,750 individuals in the study area, LQAS was validated with the above two sampling plans for its diagnostic and field applicability. Simultaneously, a household survey (SRSH) was conducted for validation and cost-effectiveness analysis. Based on SRSH survey, the estimated coverage was 93.5% (CI: 91.7-95.3%). LQAS with threshold A revealed that by sampling a maximum of 14 individuals and by allowing four defectives, the coverage was >or=60% in >90% of villages at the first stage. Similarly, with threshold B by sampling a maximum of nine individuals and by allowing four defectives, the coverage was >or=80% in >90% of villages at the first stage. These analyses suggest that the sampling plan (14,4,52,25) of threshold A may be adopted in MDA to assess if a minimum coverage of 60% has been achieved. However, to achieve the goal of elimination, the sampling plan (9, 4, 42, 29) of threshold B can identify villages in which the coverage is <80% so that remedial measures can be taken. Cost-effectiveness analysis showed that both options of LQAS are more cost-effective than SRSH to detect a village with a given level of coverage. The cost per village was US dollars 76.18 under SRSH. The cost of LQAS was US dollars 65.81 and 55.63 per village for thresholds A and B respectively. The total financial cost of classifying a village correctly with the given threshold level of LQAS could be reduced by 14% and 26% of the cost of conventional SRSH method.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Vanamail</LastName><ForeName>P</ForeName><Initials>P</Initials><AffiliationInfo><Affiliation>Vector Control Research Centre, Indian Council of Medical Research, Pondicherry, India.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Subramanian</LastName><ForeName>S</ForeName><Initials>S</Initials></Author><Author ValidYN="Y"><LastName>Srividya</LastName><ForeName>A</ForeName><Initials>A</Initials></Author><Author ValidYN="Y"><LastName>Ravi</LastName><ForeName>R</ForeName><Initials>R</Initials></Author><Author ValidYN="Y"><LastName>Krishnamoorthy</LastName><ForeName>K</ForeName><Initials>K</Initials></Author><Author ValidYN="Y"><LastName>Das</LastName><ForeName>P K</ForeName><Initials>PK</Initials></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType></PublicationTypeList></Article><MedlineJournalInfo><Country>England</Country><MedlineTA>Trop Med Int Health</MedlineTA><NlmUniqueID>9610576</NlmUniqueID><ISSNLinking>1360-2276</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D000293" MajorTopicYN="N">Adolescent</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000328" MajorTopicYN="N">Adult</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D017677" MajorTopicYN="N">Age Distribution</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000368" MajorTopicYN="N">Aged</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000369" MajorTopicYN="N">Aged, 80 and over</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D002648" MajorTopicYN="N">Child</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D002675" MajorTopicYN="N">Child, Preschool</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D003362" MajorTopicYN="N">Cost-Benefit Analysis</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D004605" MajorTopicYN="N">Elephantiasis, Filarial</DescriptorName><QualifierName UI="Q000175" MajorTopicYN="N">diagnosis</QualifierName><QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName><QualifierName UI="Q000517" MajorTopicYN="Y">prevention & control</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D005240" MajorTopicYN="N">Feasibility Studies</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D007194" MajorTopicYN="N" Type="Geographic">India</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D008875" MajorTopicYN="N">Middle Aged</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D011159" MajorTopicYN="N">Population Surveillance</DescriptorName><QualifierName UI="Q000379" MajorTopicYN="N">methods</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D011785" MajorTopicYN="N">Quality Assurance, Health Care</DescriptorName><QualifierName UI="Q000191" MajorTopicYN="N">economics</QualifierName><QualifierName UI="Q000379" MajorTopicYN="Y">methods</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D012423" MajorTopicYN="N">Rural Health</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D018401" MajorTopicYN="N">Sample Size</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D012494" MajorTopicYN="N">Sampling Studies</DescriptorName></MeshHeading></MeshHeadingList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="pubmed"><Year>2006</Year><Month>8</Month><Day>15</Day><Hour>9</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2006</Year><Month>8</Month><Day>29</Day><Hour>9</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2006</Year><Month>8</Month><Day>15</Day><Hour>9</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">16903888</ArticleId><ArticleId IdType="pii">TMI1670</ArticleId><ArticleId IdType="doi">10.1111/j.1365-3156.2006.01670.x</ArticleId></ArticleIdList></PubmedData></pubmed></record>Pour manipuler ce document sous Unix (Dilib)
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