Replication Data for: Where Do Those Data Go? Reuse of screening results from clinical trials to estimate population prevalence of HBV infection in adults in Kilifi, Kenya

Version 2.0
Replication Data for: Where Do Those Data Go? Reuse of screening results from clinical trials to estimate population prevalence of HBV infection in adults in Kilifi, Kenya
Downs, Louise O.; Campbell, Cori; Abouyannis, Michael; Otiende, Mark.; Kapulu, Melissa; Obiero, Christine W.; Hamaluba, Mainga; Ngetsa, Caroline; Andersson, Monique; Githinji, George; Warimwe, George; Baisley,Kathy; Scott, J. Anthony G.; Matthews, Philippa C.; Etyang, Anthony, 2023, "Replication Data for: Where Do Those Data Go? Reuse of screening results from clinical trials to estimate population prevalence of HBV infection in adults in Kilifi, Kenya", https://doi.org/10.7910/DVN/FPUH4R, Harvard Dataverse, V2, UNF:6:j45hG2yDzzDcraiGWjiNSA== [fileUNF]
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Description

This is a replication dataset for the manuscript titled: "Where Do Those Data Go? Reuse of screening results from clinical trials to estimate population prevalence of HBV infection in adults in Kilifi, Kenya."

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This is a dataset summarising demographic, hepatitis B test results and alanine aminotransferase data from 6 completed different clinical trials conducted at KEMRI-Wellcome Trust Research Programme since 2016. The aim of this work was to give a seroprevalence estimate for HBV in Kilifi and also illustrate the amount of data that is likely available in this space that is currently underutilised. Data were accessed with permission from study PIs and from sponsors where necessary. These data were standardised for age and sex using the Kilifi health and demographic surveillance system (KHDSS) data as the standard population structure.

This data showed a crude HBsAg seroprevalence rate of 3.5%, which rose to 5% when standardised. There was considerable underrepresentation of women in these trials with 77% of participants being male. ALT was significantly higher in those who were HBsAg positive compared to negative, although was not outside the upper limit of normal for this population.

We argue from these results that routine collection and collation of both blood borne virus prevalence and liver function test information will enable better modelling of not only blood borne viruses, but also for estimating the burden from liver disease across the African region. This would be a low cost, efficient method that negates the need for the organisation of large sero-epidemiological surveys

Subject Medicine, Health and Life Sciences
Keyword Chronic hepatitis B, Clinical trials, Seroprevalence, Elimination Goals, Clinical care
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Access to these data requires submission of a formal request for consideration by our Data Governance Committee.

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  2. Email completed data request form to the Data Governance Committee at dgc@kemri-wellcome.org
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HBV seroprevalence data_variable codebook.pdf
HBV seroprevalence data_variable codebook.pdf
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Published Dec 14, 2023
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MD5: f442cc3a6b57070cec8a40e3c7bf2a3a
DocumentationVariable Codebook/Data Dictionary
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Seroprevalence data info for curation.txt
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Published Dec 14, 2023
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MD5: 09756f1ec9b64cb3c34e15eb217cdadf
DocumentationReadme
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230705_numbers_for_standardisation.tab
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Published Dec 14, 2023
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7 Variables, 49 Observations UNF:6:F28euGp1G0gVaJ03whaiTw==
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collated_trial_data.tab
Tabular Data - 34.8 KB
Published Dec 14, 2023
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5 Variables, 1731 Observations UNF:6:vC7OrJDKfaxmpFCU35L6nw==
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20230712_age_stanrardized_prevalence.do
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Published Dec 14, 2023
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MD5: 334b98e2a8a409d05c7aeff95b2f56dd
CodeSTATA
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Seroprevalence code for curation.R
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Published Dec 14, 2023
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MD5: a7e46266af7aed5db9c57e4056466fd8
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