Sociodemographic characteristics of community eye screening participants: protocol for cross-sectional equity analyses in Botswana, India, Kenya, and Nepal.
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| Title: | Sociodemographic characteristics of community eye screening participants: protocol for cross-sectional equity analyses in Botswana, India, Kenya, and Nepal. |
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| Authors: | Allen, Luke N.1 luke.allen@lshtm.ac.uk, Nkomazana, Oathokwa2, Sailesh Kumar Mishra3, Ratshaa, Bakgaki2, Ho-Foster, Ari2, Rono, Hillary4,5, Roshan, Abhiskek3,6, Macleod, David7, Kim, Min7, Patricia Marques, Ana7, Bolster, Nigel M.4,7, Burton, Matthew J.7, Gichangi, Michael8, Karanja, Sarah9, Bastawrous, Andrew4,7 |
| Source: | Wellcome Open Research. 2023, p1-47. 47p. |
| Subject Terms: | *Epidemiology, Sociodemographic factors, Middle-income countries, Socioeconomic status, Logistic regression analysis |
| Abstract: | Background Attendance rates for eye clinics are low across low- and middleincome countries (LMICs) and exhibit marked sociodemographic inequalities. We aimed to quantify the association between a range of sociodemographic domains and attendance rates from vision screening in programmes launching in Botswana, India, Kenya and Nepal. Methods We performed a literature review of international guidance on sociodemographic data collection. Once we had identified 13 core candidate domains (age, gender, place of residence, language, ethnicity/tribe/caste, religion, marital status, parent/guardian status, place of birth, education, occupation, income, wealth) we held workshops with researchers, academics, programme implementers, and programme designers in each country to tailor the domains and response options to the national context, basing our survey development on the USAID Demographic and Health Survey model questionnaire and the RAAB7 eye health survey methodology. The draft surveys were reviewed by health economists and piloted with laypeople before being finalised, translated, and back-translated for use in Botswana, Kenya, India, and Nepal. These surveys will be used to assess the distribution of eye disease among different sociodemographic groups, and to track attendance rates between groups in four major eye screening programmes. We gather data from 3,850 people in each country and use logistic regression to identify the groups that experience the worst access to communitybased eye care services in each setting. We will use a secure, password protected android-based app to gather sociodemographic information. These data will be stored using state-of-the art security measures, complying with each country’s data management legislation and UK law. Discussion This low-risk, embedded, pragmatic, observational data collection will enable eye screening programme managers to accurately identify which sociodemographic groups are facing the highest systematic barriers to accessing care at any point in time. This information will be used to inform the development of service improvements to improve equity. [ABSTRACT FROM AUTHOR] |
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| Items | – Name: Title Label: Title Group: Ti Data: Sociodemographic characteristics of community eye screening participants: protocol for cross-sectional equity analyses in Botswana, India, Kenya, and Nepal. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Allen%2C+Luke+N%2E%22">Allen, Luke N.</searchLink><relatesTo>1</relatesTo><i> luke.allen@lshtm.ac.uk</i><br /><searchLink fieldCode="AR" term="%22Nkomazana%2C+Oathokwa%22">Nkomazana, Oathokwa</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Sailesh+Kumar+Mishra%22">Sailesh Kumar Mishra</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AR" term="%22Ratshaa%2C+Bakgaki%22">Ratshaa, Bakgaki</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Ho-Foster%2C+Ari%22">Ho-Foster, Ari</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Rono%2C+Hillary%22">Rono, Hillary</searchLink><relatesTo>4,5</relatesTo><br /><searchLink fieldCode="AR" term="%22Roshan%2C+Abhiskek%22">Roshan, Abhiskek</searchLink><relatesTo>3,6</relatesTo><br /><searchLink fieldCode="AR" term="%22Macleod%2C+David%22">Macleod, David</searchLink><relatesTo>7</relatesTo><br /><searchLink fieldCode="AR" term="%22Kim%2C+Min%22">Kim, Min</searchLink><relatesTo>7</relatesTo><br /><searchLink fieldCode="AR" term="%22Patricia+Marques%2C+Ana%22">Patricia Marques, Ana</searchLink><relatesTo>7</relatesTo><br /><searchLink fieldCode="AR" term="%22Bolster%2C+Nigel+M%2E%22">Bolster, Nigel M.</searchLink><relatesTo>4,7</relatesTo><br /><searchLink fieldCode="AR" term="%22Burton%2C+Matthew+J%2E%22">Burton, Matthew J.</searchLink><relatesTo>7</relatesTo><br /><searchLink fieldCode="AR" term="%22Gichangi%2C+Michael%22">Gichangi, Michael</searchLink><relatesTo>8</relatesTo><br /><searchLink fieldCode="AR" term="%22Karanja%2C+Sarah%22">Karanja, Sarah</searchLink><relatesTo>9</relatesTo><br /><searchLink fieldCode="AR" term="%22Bastawrous%2C+Andrew%22">Bastawrous, Andrew</searchLink><relatesTo>4,7</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Wellcome+Open+Research%22">Wellcome Open Research</searchLink>. 2023, p1-47. 47p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Epidemiology%22">Epidemiology</searchLink><br /><searchLink fieldCode="DE" term="%22Sociodemographic+factors%22">Sociodemographic factors</searchLink><br /><searchLink fieldCode="DE" term="%22Middle-income+countries%22">Middle-income countries</searchLink><br /><searchLink fieldCode="DE" term="%22Socioeconomic+status%22">Socioeconomic status</searchLink><br /><searchLink fieldCode="DE" term="%22Logistic+regression+analysis%22">Logistic regression analysis</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Background Attendance rates for eye clinics are low across low- and middleincome countries (LMICs) and exhibit marked sociodemographic inequalities. We aimed to quantify the association between a range of sociodemographic domains and attendance rates from vision screening in programmes launching in Botswana, India, Kenya and Nepal. Methods We performed a literature review of international guidance on sociodemographic data collection. Once we had identified 13 core candidate domains (age, gender, place of residence, language, ethnicity/tribe/caste, religion, marital status, parent/guardian status, place of birth, education, occupation, income, wealth) we held workshops with researchers, academics, programme implementers, and programme designers in each country to tailor the domains and response options to the national context, basing our survey development on the USAID Demographic and Health Survey model questionnaire and the RAAB7 eye health survey methodology. The draft surveys were reviewed by health economists and piloted with laypeople before being finalised, translated, and back-translated for use in Botswana, Kenya, India, and Nepal. These surveys will be used to assess the distribution of eye disease among different sociodemographic groups, and to track attendance rates between groups in four major eye screening programmes. We gather data from 3,850 people in each country and use logistic regression to identify the groups that experience the worst access to communitybased eye care services in each setting. We will use a secure, password protected android-based app to gather sociodemographic information. These data will be stored using state-of-the art security measures, complying with each country’s data management legislation and UK law. Discussion This low-risk, embedded, pragmatic, observational data collection will enable eye screening programme managers to accurately identify which sociodemographic groups are facing the highest systematic barriers to accessing care at any point in time. This information will be used to inform the development of service improvements to improve equity. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Wellcome Open Research is the property of Wellcome Trust and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.12688/wellcomeopenres.17768.2 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 47 StartPage: 1 Subjects: – SubjectFull: Epidemiology Type: general – SubjectFull: Sociodemographic factors Type: general – SubjectFull: Middle-income countries Type: general – SubjectFull: Socioeconomic status Type: general – SubjectFull: Logistic regression analysis Type: general Titles: – TitleFull: Sociodemographic characteristics of community eye screening participants: protocol for cross-sectional equity analyses in Botswana, India, Kenya, and Nepal. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Allen, Luke N. – PersonEntity: Name: NameFull: Nkomazana, Oathokwa – PersonEntity: Name: NameFull: Sailesh Kumar Mishra – PersonEntity: Name: NameFull: Ratshaa, Bakgaki – PersonEntity: Name: NameFull: Ho-Foster, Ari – PersonEntity: Name: NameFull: Rono, Hillary – PersonEntity: Name: NameFull: Roshan, Abhiskek – PersonEntity: Name: NameFull: Macleod, David – PersonEntity: Name: NameFull: Kim, Min – PersonEntity: Name: NameFull: Patricia Marques, Ana – PersonEntity: Name: NameFull: Bolster, Nigel M. – PersonEntity: Name: NameFull: Burton, Matthew J. – PersonEntity: Name: NameFull: Gichangi, Michael – PersonEntity: Name: NameFull: Karanja, Sarah – PersonEntity: Name: NameFull: Bastawrous, Andrew IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: 2023 Type: published Y: 2023 Identifiers: – Type: issn-print Value: 2398502X Titles: – TitleFull: Wellcome Open Research Type: main |
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