Clinic Attendance Data for: "Factors Affecting Access to Healthcare: An Observational Study of Children under 5 Years of Age Presenting to a Rural Gambian Primary Healthcare Centre"

Rees, CP, Hawkesworth, S, Moore, SE, Dondeh, BL and Unger, SA. 2016. Clinic Attendance Data for: "Factors Affecting Access to Healthcare: An Observational Study of Children under 5 Years of Age Presenting to a Rural Gambian Primary Healthcare Centre". [Online]. PLOS ONE. Available from: https://doi.org/10.1371/journal.pone.0157790.s018

Rees, CP, Hawkesworth, S, Moore, SE, Dondeh, BL and Unger, SA. Clinic Attendance Data for: "Factors Affecting Access to Healthcare: An Observational Study of Children under 5 Years of Age Presenting to a Rural Gambian Primary Healthcare Centre" [Internet]. PLOS ONE; 2016. Available from: https://doi.org/10.1371/journal.pone.0157790.s018

Rees, CP, Hawkesworth, S, Moore, SE, Dondeh, BL and Unger, SA (2016). Clinic Attendance Data for: "Factors Affecting Access to Healthcare: An Observational Study of Children under 5 Years of Age Presenting to a Rural Gambian Primary Healthcare Centre". [Data Collection]. PLOS ONE. https://doi.org/10.1371/journal.pone.0157790.s018

Description

Additional information

Description of data capture Data were extracted from an electronic medical records system at a rural primary healthcare clinic in The Gambia for children (0–5y) between 2009 and 2012. First clinic attendances with malaria, lower respiratory tract infections (LRTI) and diarrhoeal disease, the main contributors to mortality in this setting, were identified and categorized as delayed/non-delayed and severe/non-severe representing our two main outcome measures. Potential explanatory variables, identified through a comprehensive literature review were obtained from an ongoing demographic surveillance system for this population. Variables associated with either delayed/non-delayed and/or with severe/non-severe presentations identified by univariate analysis (p<0.1) were assessed in multivariate models using logistic regression (p<0.05).
Data capture method Aggregation
Data Collection Period
FromTo
20092012
Date (Date published in a 3rd party system) 23 June 2016
Geographical area covered (offline during plugin upgrade)
North LatitudeEast LongitudeSouth LatitudeWest Longitude
13.5991-15.799713.1716-16.5248
Language(s) of written materials English
Data Creators Rees, CP, Hawkesworth, S, Moore, SE, Dondeh, BL and Unger, SA
LSHTM Faculty/Department Faculty of Epidemiology and Population Health > Dept of Population Health (2012- )
Faculty of Public Health and Policy > Dept of Health Services Research and Policy
Participating Institutions London School of Hygiene & Tropical Medicine, London, United Kingdom, Barts & The London School of Medicine & Dentistry, MRC Unit, The Gambia, University of Edinburgh, Edinburgh, United Kingdom
Funders
ProjectFunderGrant NumberFunder URI
UNSPECIFIEDMRC International Nutrition GroupMC-A760-5QX00UNSPECIFIED
Date Deposited 28 Jun 2016 10:02
Last Modified 04 Oct 2024 09:47
Publisher PLOS ONE

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Filename: S14_Table.XLS

Description: S14 Table: All clinic attendances

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File size: 6MB

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Filename: S14_AllAttendances_CSV.csv

Description: Data from all clinic attendances with data from DSS included

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Data Visualisation

Filename: S2_MalariaAttendance-univariate.DOCX

Description: Attendances with malaria- results of univariate analysis of continuous independent variables

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Filename: S3_MalariaAttendance-univariate-ordered.DOCX

Description: Attendances with malaria- results of univariate analysis of ordered categorical independent variables

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Filename: S4_MalariaAttendance-univariate.DOCX

Description: Attendances with malaria- results of univariate analysis of dichotomous independent variables

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Filename: S4_LiteratureReview.DOCX

Description: Literature review summary

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Filename: S5_MalariaAttendance-multivariate.DOCX

Description: Attendances with malaria- results of multivariate logistic regression for factors identified as significant in univariate regression analysis

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Filename: S6_LRTI-univariate-continuous.DOCX

Description: Attendances with LRTI- results of univariate analysis of continuous independent variables

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Filename: S7_LRTI-univariate-ordered.DOCX

Description: Attendances with LRTI- results of univariate analysis of ordered categorical independent variables

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Filename: S8_LRTI-univariate-continuous.DOCX

Description: Attendances with LRTI- results of univariate analysis of dichotomous independent variables

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Filename: S9_LRTI-multivariate-logistic.DOCX

Description: Attendances with LRTI- results of multivariate logistic regression for factors identified as significant in univariate regression analysis

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Filename: S10_Diarrhoeal-univariate-continuous.DOCX

Description: Attendances with diarrhoeal disease- results of univariate analysis of continuous independent variables

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Filename: S11_Diarrhoeal-univariate-ordered.DOCX

Description: Attendances with diarrhoeal disease- results of univariate analysis of ordered categorical independent variables

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Filename: S12_Diarrhoeal-univariate-independent.DOCX

Description: Attendances with diarrhoeal disease- results of univariate analysis of dichotomous independent variables

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Filename: S13_Diarrhoeal-multivariate-regression.DOCX

Description: Attendances with diarrhoeal disease- results of multivariate logistic regression for factors identified as significant in univariate regression analysis

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Documentation

Filename: S1_CohortRecruitmentCriteria.DOCX

Description: Cohort recruitment criteria

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Filename: S1_PAWS_score.DOCX

Description: How PAWS score was calculated

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Filename: S2_LiteratureSearchStrategy.DOCX

Description: Literature search strategy

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Filename: S3_PRISMA_Flow.DOCX

Description: PRISMA flow diagram

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Filename: S14_DataDictionary_CSV.csv

Description: Explanatory Data Dictionary

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Filename: S15_KEMRes_Codes.DOCX

Description: Codes on KEMRes

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