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The impact of imperfect screening tools on measuring the prevalence of epilepsy and headaches in Burkina Faso
Epilepsy and progressively worsening severe chronic headaches (WSCH) are the two most common clinical manifestations of neurocysticercosis, a form of cysticercosis. Most community-based studies in sub-Saharan Africa (SSA) use a two-step approach (questionnaire and confirmation) to estimate the preva...
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Published in: | PLoS neglected tropical diseases 2019-01, Vol.13 (1), p.e0007109-e0007109 |
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description | Epilepsy and progressively worsening severe chronic headaches (WSCH) are the two most common clinical manifestations of neurocysticercosis, a form of cysticercosis. Most community-based studies in sub-Saharan Africa (SSA) use a two-step approach (questionnaire and confirmation) to estimate the prevalence of these neurological disorders and neurocysticercosis. Few validate the questionnaire in the field or account for the imperfect nature of the screening questionnaire and the fact that only those who screen positive have the opportunity to be confirmed. This study aims to obtain community-based validity estimates of a screening questionnaire, and to assess the impact of verification bias and misclassification error on prevalence estimates of epilepsy and WSCH.
Baseline screening questionnaire followed by neurological examination data from a cluster randomized controlled trial collected between February 2011 and January 2012 were used. Bayesian latent-class models were applied to obtain verification bias adjusted validity estimates for the screening questionnaire. These models were also used to compare the adjusted prevalence estimates of epilepsy and WSCH to those directly obtained from the data (i.e. unadjusted prevalence estimates). Different priors were used and their corresponding posterior inference was compared for both WSCH and epilepsy. Screening data were available for 4768 individuals. For epilepsy, posterior estimates for the sensitivity varied with the priors used but remained robust for the specificity, with the highest estimates at 66.1% (95%BCI: 56.4%;75.3%) for sensitivity and 88.9% (88.0%;89.8%) for specificity. For WSCH, the sensitivity and specificity estimates remained robust, with the highest at 59.6% (49.7%;69.1%) and 88.6% (87.6%;89.6%), respectively. The unadjusted prevalence estimates were consistently lower than the adjusted prevalence estimates for both epilepsy and WSCH.
This study demonstrates that in some settings, the prevalence of epilepsy and WSCH can be considerably underestimated when using the two-step approach. We provide an analytic solution to obtain more valid prevalence estimates of these neurological disorders, although more community-based validity studies are needed to reduce the uncertainty of the estimates. Valid estimates of these two neurological disorders are essential to obtain accurate burden values for neglected tropical diseases such as neurocysticercosis that manifest as epilepsy or WSCH.
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doi_str_mv | 10.1371/journal.pntd.0007109 |
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Baseline screening questionnaire followed by neurological examination data from a cluster randomized controlled trial collected between February 2011 and January 2012 were used. Bayesian latent-class models were applied to obtain verification bias adjusted validity estimates for the screening questionnaire. These models were also used to compare the adjusted prevalence estimates of epilepsy and WSCH to those directly obtained from the data (i.e. unadjusted prevalence estimates). Different priors were used and their corresponding posterior inference was compared for both WSCH and epilepsy. Screening data were available for 4768 individuals. For epilepsy, posterior estimates for the sensitivity varied with the priors used but remained robust for the specificity, with the highest estimates at 66.1% (95%BCI: 56.4%;75.3%) for sensitivity and 88.9% (88.0%;89.8%) for specificity. For WSCH, the sensitivity and specificity estimates remained robust, with the highest at 59.6% (49.7%;69.1%) and 88.6% (87.6%;89.6%), respectively. The unadjusted prevalence estimates were consistently lower than the adjusted prevalence estimates for both epilepsy and WSCH.
This study demonstrates that in some settings, the prevalence of epilepsy and WSCH can be considerably underestimated when using the two-step approach. We provide an analytic solution to obtain more valid prevalence estimates of these neurological disorders, although more community-based validity studies are needed to reduce the uncertainty of the estimates. Valid estimates of these two neurological disorders are essential to obtain accurate burden values for neglected tropical diseases such as neurocysticercosis that manifest as epilepsy or WSCH.
ClinicalTrials.gov NCT03095339.</description><identifier>ISSN: 1935-2735</identifier><identifier>ISSN: 1935-2727</identifier><identifier>EISSN: 1935-2735</identifier><identifier>DOI: 10.1371/journal.pntd.0007109</identifier><identifier>PMID: 30653519</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Adolescent ; Adult ; Aged ; Aged, 80 and over ; Bayesian analysis ; Bias ; Burkina Faso - epidemiology ; Child ; Child, Preschool ; Communities ; Cross-Sectional Studies ; Cysticercosis ; Developing countries ; Development and progression ; Disease ; Disorders ; Epidemiology ; Epilepsy ; Epilepsy - diagnosis ; Epilepsy - epidemiology ; Estimates ; Exact solutions ; Female ; Headache ; Headache Disorders - diagnosis ; Headache Disorders - epidemiology ; Headaches ; Health sciences ; Health screening ; Humans ; Industrialized nations ; LDCs ; Life Sciences ; Male ; Mass Screening - methods ; Mathematical models ; Medical research ; Medicine and Health Sciences ; Middle Aged ; Neurocysticercosis - complications ; Neurologic examination ; Neurological diseases ; Neurological disorders ; People and Places ; Population ; Prevalence ; Probability theory ; Public health ; Questionnaires ; Randomized Controlled Trials as Topic ; Research and Analysis Methods ; Risk factors ; Rural areas ; Santé publique et épidémiologie ; Sensitivity ; Sensitivity and Specificity ; Specificity ; Studies ; Surveys and Questionnaires - standards ; Systematic review ; Tropical climate ; Tropical diseases ; Validity ; Veterinary medicine ; Young Adult</subject><ispartof>PLoS neglected tropical diseases, 2019-01, Vol.13 (1), p.e0007109-e0007109</ispartof><rights>COPYRIGHT 2019 Public Library of Science</rights><rights>2019 Sahlu et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><rights>2019 Sahlu et al 2019 Sahlu et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c658t-3159b9a1a7458566a694a194f65444add61647fcaa83911ff9904842fed140693</citedby><cites>FETCH-LOGICAL-c658t-3159b9a1a7458566a694a194f65444add61647fcaa83911ff9904842fed140693</cites><orcidid>0000-0002-2822-4730 ; 0000-0002-2171-2977</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2262877910/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2262877910?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,25753,27924,27925,37012,37013,44590,53791,53793,75126</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/30653519$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://unilim.hal.science/hal-01988181$$DView record in HAL$$Hfree_for_read</backlink></links><search><contributor>Budke, Christine M.</contributor><creatorcontrib>Sahlu, Ida</creatorcontrib><creatorcontrib>Bauer, Cici</creatorcontrib><creatorcontrib>Ganaba, Rasmané</creatorcontrib><creatorcontrib>Preux, Pierre-Marie</creatorcontrib><creatorcontrib>Cowan, Linda D</creatorcontrib><creatorcontrib>Dorny, Pierre</creatorcontrib><creatorcontrib>Millogo, Athanase</creatorcontrib><creatorcontrib>Carabin, Hélène</creatorcontrib><title>The impact of imperfect screening tools on measuring the prevalence of epilepsy and headaches in Burkina Faso</title><title>PLoS neglected tropical diseases</title><addtitle>PLoS Negl Trop Dis</addtitle><description>Epilepsy and progressively worsening severe chronic headaches (WSCH) are the two most common clinical manifestations of neurocysticercosis, a form of cysticercosis. Most community-based studies in sub-Saharan Africa (SSA) use a two-step approach (questionnaire and confirmation) to estimate the prevalence of these neurological disorders and neurocysticercosis. Few validate the questionnaire in the field or account for the imperfect nature of the screening questionnaire and the fact that only those who screen positive have the opportunity to be confirmed. This study aims to obtain community-based validity estimates of a screening questionnaire, and to assess the impact of verification bias and misclassification error on prevalence estimates of epilepsy and WSCH.
Baseline screening questionnaire followed by neurological examination data from a cluster randomized controlled trial collected between February 2011 and January 2012 were used. Bayesian latent-class models were applied to obtain verification bias adjusted validity estimates for the screening questionnaire. These models were also used to compare the adjusted prevalence estimates of epilepsy and WSCH to those directly obtained from the data (i.e. unadjusted prevalence estimates). Different priors were used and their corresponding posterior inference was compared for both WSCH and epilepsy. Screening data were available for 4768 individuals. For epilepsy, posterior estimates for the sensitivity varied with the priors used but remained robust for the specificity, with the highest estimates at 66.1% (95%BCI: 56.4%;75.3%) for sensitivity and 88.9% (88.0%;89.8%) for specificity. For WSCH, the sensitivity and specificity estimates remained robust, with the highest at 59.6% (49.7%;69.1%) and 88.6% (87.6%;89.6%), respectively. The unadjusted prevalence estimates were consistently lower than the adjusted prevalence estimates for both epilepsy and WSCH.
This study demonstrates that in some settings, the prevalence of epilepsy and WSCH can be considerably underestimated when using the two-step approach. We provide an analytic solution to obtain more valid prevalence estimates of these neurological disorders, although more community-based validity studies are needed to reduce the uncertainty of the estimates. Valid estimates of these two neurological disorders are essential to obtain accurate burden values for neglected tropical diseases such as neurocysticercosis that manifest as epilepsy or WSCH.
ClinicalTrials.gov NCT03095339.</description><subject>Adolescent</subject><subject>Adult</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Bayesian analysis</subject><subject>Bias</subject><subject>Burkina Faso - epidemiology</subject><subject>Child</subject><subject>Child, Preschool</subject><subject>Communities</subject><subject>Cross-Sectional Studies</subject><subject>Cysticercosis</subject><subject>Developing countries</subject><subject>Development and progression</subject><subject>Disease</subject><subject>Disorders</subject><subject>Epidemiology</subject><subject>Epilepsy</subject><subject>Epilepsy - diagnosis</subject><subject>Epilepsy - epidemiology</subject><subject>Estimates</subject><subject>Exact solutions</subject><subject>Female</subject><subject>Headache</subject><subject>Headache Disorders - diagnosis</subject><subject>Headache Disorders - epidemiology</subject><subject>Headaches</subject><subject>Health sciences</subject><subject>Health screening</subject><subject>Humans</subject><subject>Industrialized nations</subject><subject>LDCs</subject><subject>Life Sciences</subject><subject>Male</subject><subject>Mass Screening - methods</subject><subject>Mathematical models</subject><subject>Medical research</subject><subject>Medicine and Health Sciences</subject><subject>Middle Aged</subject><subject>Neurocysticercosis - complications</subject><subject>Neurologic examination</subject><subject>Neurological diseases</subject><subject>Neurological disorders</subject><subject>People and Places</subject><subject>Population</subject><subject>Prevalence</subject><subject>Probability theory</subject><subject>Public health</subject><subject>Questionnaires</subject><subject>Randomized Controlled Trials as Topic</subject><subject>Research and Analysis Methods</subject><subject>Risk factors</subject><subject>Rural areas</subject><subject>Santé publique et épidémiologie</subject><subject>Sensitivity</subject><subject>Sensitivity and Specificity</subject><subject>Specificity</subject><subject>Studies</subject><subject>Surveys and Questionnaires - standards</subject><subject>Systematic review</subject><subject>Tropical climate</subject><subject>Tropical diseases</subject><subject>Validity</subject><subject>Veterinary medicine</subject><subject>Young Adult</subject><issn>1935-2735</issn><issn>1935-2727</issn><issn>1935-2735</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNptkl9v0zAUxSMEYmPwDRBEQkLw0OIb_39BKhNjkyrxMp4t13Fal8QOdlJp3x5n7aZ2mvIQ--Z3jm-uT1G8BzQHzOHbNozR63be-6GeI4Q4IPmiOAeJ6azimL48Wp8Vb1LaIkQlFfC6OMOIUUxBnhfd7caWruu1GcrQTCsbG5s3yURrvfPrcgihTWXwZWd1GuN9KYv6aHe6td7YSWh719o-3ZXa1-XG6lqbjU2l8-WPMf51XpdXOoW3xatGt8m-O7wvij9XP28vr2fL379uLhfLmWFUDDMMVK6kBs0JFZQxzSTRIEnDKCFE1zUDRnhjtBZYAjSNlIgIUjW2BoKYxBfFx71v34akDpNKqqpYJTiXgDJxsyfqoLeqj67T8U4F7dR9IcS10nFwprWKVxUnvAJBV5YgMLkPvBK8BiaqlTA8e30_nDauOlsb64eo2xPT0y_ebdQ67BTDFFfAssHXvcHmiex6sVRTDYEUAgTsILNfDofF8G-0aVCdS8a2rfY2jPkfgUuCMBFTX5-eoM9P4kCt820q55uQezSTqVpQDkJgwUim5s9Q-alt50zwtsn3fyr4fCTIiWiHTQrtOLjg0ylI9qCJIaVom8cJAFJT0h-6VlPS1SHpWfbheOiPoodo4_8hevgP</recordid><startdate>20190101</startdate><enddate>20190101</enddate><creator>Sahlu, Ida</creator><creator>Bauer, Cici</creator><creator>Ganaba, Rasmané</creator><creator>Preux, Pierre-Marie</creator><creator>Cowan, Linda D</creator><creator>Dorny, Pierre</creator><creator>Millogo, Athanase</creator><creator>Carabin, Hélène</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><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>3V.</scope><scope>7QL</scope><scope>7SS</scope><scope>7T2</scope><scope>7T7</scope><scope>7U9</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8C1</scope><scope>8FD</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>H94</scope><scope>H95</scope><scope>H97</scope><scope>K9.</scope><scope>L.G</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>P64</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>7X8</scope><scope>1XC</scope><scope>VOOES</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-2822-4730</orcidid><orcidid>https://orcid.org/0000-0002-2171-2977</orcidid></search><sort><creationdate>20190101</creationdate><title>The impact of imperfect screening tools on measuring the prevalence of epilepsy and headaches in Burkina Faso</title><author>Sahlu, Ida ; Bauer, Cici ; Ganaba, Rasmané ; Preux, Pierre-Marie ; Cowan, Linda D ; Dorny, Pierre ; Millogo, Athanase ; Carabin, Hélène</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c658t-3159b9a1a7458566a694a194f65444add61647fcaa83911ff9904842fed140693</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Adolescent</topic><topic>Adult</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Bayesian analysis</topic><topic>Bias</topic><topic>Burkina Faso - epidemiology</topic><topic>Child</topic><topic>Child, Preschool</topic><topic>Communities</topic><topic>Cross-Sectional Studies</topic><topic>Cysticercosis</topic><topic>Developing countries</topic><topic>Development and progression</topic><topic>Disease</topic><topic>Disorders</topic><topic>Epidemiology</topic><topic>Epilepsy</topic><topic>Epilepsy - diagnosis</topic><topic>Epilepsy - epidemiology</topic><topic>Estimates</topic><topic>Exact solutions</topic><topic>Female</topic><topic>Headache</topic><topic>Headache Disorders - diagnosis</topic><topic>Headache Disorders - epidemiology</topic><topic>Headaches</topic><topic>Health sciences</topic><topic>Health screening</topic><topic>Humans</topic><topic>Industrialized nations</topic><topic>LDCs</topic><topic>Life Sciences</topic><topic>Male</topic><topic>Mass Screening - methods</topic><topic>Mathematical models</topic><topic>Medical research</topic><topic>Medicine and Health Sciences</topic><topic>Middle Aged</topic><topic>Neurocysticercosis - complications</topic><topic>Neurologic examination</topic><topic>Neurological diseases</topic><topic>Neurological disorders</topic><topic>People and Places</topic><topic>Population</topic><topic>Prevalence</topic><topic>Probability theory</topic><topic>Public health</topic><topic>Questionnaires</topic><topic>Randomized Controlled Trials as Topic</topic><topic>Research and Analysis Methods</topic><topic>Risk factors</topic><topic>Rural areas</topic><topic>Santé publique et épidémiologie</topic><topic>Sensitivity</topic><topic>Sensitivity and Specificity</topic><topic>Specificity</topic><topic>Studies</topic><topic>Surveys and Questionnaires - standards</topic><topic>Systematic review</topic><topic>Tropical climate</topic><topic>Tropical diseases</topic><topic>Validity</topic><topic>Veterinary medicine</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Sahlu, Ida</creatorcontrib><creatorcontrib>Bauer, Cici</creatorcontrib><creatorcontrib>Ganaba, Rasmané</creatorcontrib><creatorcontrib>Preux, Pierre-Marie</creatorcontrib><creatorcontrib>Cowan, Linda D</creatorcontrib><creatorcontrib>Dorny, Pierre</creatorcontrib><creatorcontrib>Millogo, Athanase</creatorcontrib><creatorcontrib>Carabin, Hélène</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Health and Safety Science Abstracts (Full archive)</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Virology and AIDS Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Public Health Database</collection><collection>Technology Research Database</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 1: Biological Sciences & Living Resources</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 3: Aquatic Pollution & Environmental Quality</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Publicly Available Content Database (Proquest) (PQ_SDU_P3)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>MEDLINE - Academic</collection><collection>Hyper Article en Ligne (HAL)</collection><collection>Hyper Article en Ligne (HAL) (Open Access)</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PLoS neglected tropical diseases</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Sahlu, Ida</au><au>Bauer, Cici</au><au>Ganaba, Rasmané</au><au>Preux, Pierre-Marie</au><au>Cowan, Linda D</au><au>Dorny, Pierre</au><au>Millogo, Athanase</au><au>Carabin, Hélène</au><au>Budke, Christine M.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The impact of imperfect screening tools on measuring the prevalence of epilepsy and headaches in Burkina Faso</atitle><jtitle>PLoS neglected tropical diseases</jtitle><addtitle>PLoS Negl Trop Dis</addtitle><date>2019-01-01</date><risdate>2019</risdate><volume>13</volume><issue>1</issue><spage>e0007109</spage><epage>e0007109</epage><pages>e0007109-e0007109</pages><issn>1935-2735</issn><issn>1935-2727</issn><eissn>1935-2735</eissn><abstract>Epilepsy and progressively worsening severe chronic headaches (WSCH) are the two most common clinical manifestations of neurocysticercosis, a form of cysticercosis. Most community-based studies in sub-Saharan Africa (SSA) use a two-step approach (questionnaire and confirmation) to estimate the prevalence of these neurological disorders and neurocysticercosis. Few validate the questionnaire in the field or account for the imperfect nature of the screening questionnaire and the fact that only those who screen positive have the opportunity to be confirmed. This study aims to obtain community-based validity estimates of a screening questionnaire, and to assess the impact of verification bias and misclassification error on prevalence estimates of epilepsy and WSCH.
Baseline screening questionnaire followed by neurological examination data from a cluster randomized controlled trial collected between February 2011 and January 2012 were used. Bayesian latent-class models were applied to obtain verification bias adjusted validity estimates for the screening questionnaire. These models were also used to compare the adjusted prevalence estimates of epilepsy and WSCH to those directly obtained from the data (i.e. unadjusted prevalence estimates). Different priors were used and their corresponding posterior inference was compared for both WSCH and epilepsy. Screening data were available for 4768 individuals. For epilepsy, posterior estimates for the sensitivity varied with the priors used but remained robust for the specificity, with the highest estimates at 66.1% (95%BCI: 56.4%;75.3%) for sensitivity and 88.9% (88.0%;89.8%) for specificity. For WSCH, the sensitivity and specificity estimates remained robust, with the highest at 59.6% (49.7%;69.1%) and 88.6% (87.6%;89.6%), respectively. The unadjusted prevalence estimates were consistently lower than the adjusted prevalence estimates for both epilepsy and WSCH.
This study demonstrates that in some settings, the prevalence of epilepsy and WSCH can be considerably underestimated when using the two-step approach. We provide an analytic solution to obtain more valid prevalence estimates of these neurological disorders, although more community-based validity studies are needed to reduce the uncertainty of the estimates. Valid estimates of these two neurological disorders are essential to obtain accurate burden values for neglected tropical diseases such as neurocysticercosis that manifest as epilepsy or WSCH.
ClinicalTrials.gov NCT03095339.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>30653519</pmid><doi>10.1371/journal.pntd.0007109</doi><orcidid>https://orcid.org/0000-0002-2822-4730</orcidid><orcidid>https://orcid.org/0000-0002-2171-2977</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1935-2735 |
ispartof | PLoS neglected tropical diseases, 2019-01, Vol.13 (1), p.e0007109-e0007109 |
issn | 1935-2735 1935-2727 1935-2735 |
language | eng |
recordid | cdi_plos_journals_2262877910 |
source | Publicly Available Content Database (Proquest) (PQ_SDU_P3); PubMed Central |
subjects | Adolescent Adult Aged Aged, 80 and over Bayesian analysis Bias Burkina Faso - epidemiology Child Child, Preschool Communities Cross-Sectional Studies Cysticercosis Developing countries Development and progression Disease Disorders Epidemiology Epilepsy Epilepsy - diagnosis Epilepsy - epidemiology Estimates Exact solutions Female Headache Headache Disorders - diagnosis Headache Disorders - epidemiology Headaches Health sciences Health screening Humans Industrialized nations LDCs Life Sciences Male Mass Screening - methods Mathematical models Medical research Medicine and Health Sciences Middle Aged Neurocysticercosis - complications Neurologic examination Neurological diseases Neurological disorders People and Places Population Prevalence Probability theory Public health Questionnaires Randomized Controlled Trials as Topic Research and Analysis Methods Risk factors Rural areas Santé publique et épidémiologie Sensitivity Sensitivity and Specificity Specificity Studies Surveys and Questionnaires - standards Systematic review Tropical climate Tropical diseases Validity Veterinary medicine Young Adult |
title | The impact of imperfect screening tools on measuring the prevalence of epilepsy and headaches in Burkina Faso |
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