Rees, CP, Hawkesworth, S, Moore, SE, Dondeh, BL and Unger, SA. 2016. 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
Rees, CP, Hawkesworth, S, Moore, SE, Dondeh, BL and Unger, SA. 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
Rees, CP, Hawkesworth, S, Moore, SE, Dondeh, BL and Unger, SA (2016). 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
Description
Prompt access to primary healthcare before onset of severe illness is vital to improve morbidity and mortality rates. The Gambia has high rates of child mortality and research is needed to investigate contributing factors further. This study aimed to identify factors affecting access to primary healthcare for children <5 years (y) in rural Gambia focusing on delayed presentation and severe illness at presentation as indicators in a setting where primary healthcare is delivered free of charge. 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). Out of 6554 clinic attendances, 571 relevant attendances were identified. Delayed presentation was common (45% of all presentations) and there was a significantly reduced risk associated with being from villages with free regular access to transport (OR 0.502, 95%CI[0.310, 0.814], p = 0.005). Children from villages with free regular transport were also less likely to present with severe illness (OR 0.557, 95%CI[0.325, 0.954], p = 0.033). Transport availability rather than distance to health clinic is an important barrier to accessing healthcare for children in The Gambia, and public health interventions should aim to reduce this barrier.
Additional information
An open access version of the dataset is available in the PLOS One paper and is available on Figshare.
Keywords
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). | ||||||||
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Data capture method | Aggregation | ||||||||
Data Collection Period |
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Date (Date published in a 3rd party system) | 23 June 2016 | ||||||||
Geographical area covered (offline during plugin upgrade) |
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Language(s) of written materials | English |
Data Creators | Rees, CP, Hawkesworth, S, Moore, SE, Dondeh, BL and Unger, SA |
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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 |
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Date Deposited | 28 Jun 2016 10:02 |
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Last Modified | 09 Apr 2021 16:15 |
Publisher | PLOS One |
Downloads
Data / Code
Restricted to: Request access for all
Filename: S14_Table.XLS
Description: S14 Table: All clinic attendances
Content type: Dataset
File size: 6MB
Mime-Type: application/msword
Restricted to: Request access for all
Filename: S14_AllAttendances_CSV.csv
Description: Data from all clinic attendances with data from DSS included
Content type: Dataset
File size: 2MB
Mime-Type: text/plain
Data Visualisation
Filename: S2_MalariaAttendance-univariate.DOCX
Description: Attendances with malaria- results of univariate analysis of continuous independent variables
Content type: Textual content
File size: 53kB
Mime-Type: application/vnd.openxmlformats-officedocument.wordprocessingml.document
Filename: S3_MalariaAttendance-univariate-ordered.DOCX
Description: Attendances with malaria- results of univariate analysis of ordered categorical independent variables
Content type: Dataset
File size: 50kB
Mime-Type: application/vnd.openxmlformats-officedocument.wordprocessingml.document
Filename: S4_MalariaAttendance-univariate.DOCX
Description: Attendances with malaria- results of univariate analysis of dichotomous independent variables
Content type: Dataset
File size: 76kB
Mime-Type: application/vnd.openxmlformats-officedocument.wordprocessingml.document
Filename: S4_LiteratureReview.DOCX
Description: Literature review summary
Content type: Textual content
File size: 105kB
Mime-Type: application/vnd.openxmlformats-officedocument.wordprocessingml.document
Filename: S5_MalariaAttendance-multivariate.DOCX
Description: Attendances with malaria- results of multivariate logistic regression for factors identified as significant in univariate regression analysis
Content type: Dataset
File size: 81kB
Mime-Type: application/vnd.openxmlformats-officedocument.wordprocessingml.document
Filename: S6_LRTI-univariate-continuous.DOCX
Description: Attendances with LRTI- results of univariate analysis of continuous independent variables
Content type: Dataset
File size: 52kB
Mime-Type: application/vnd.openxmlformats-officedocument.wordprocessingml.document
Filename: S7_LRTI-univariate-ordered.DOCX
Description: Attendances with LRTI- results of univariate analysis of ordered categorical independent variables
Content type: Dataset
File size: 50kB
Mime-Type: application/vnd.openxmlformats-officedocument.wordprocessingml.document
Filename: S8_LRTI-univariate-continuous.DOCX
Description: Attendances with LRTI- results of univariate analysis of dichotomous independent variables
Content type: Dataset
File size: 76kB
Mime-Type: application/vnd.openxmlformats-officedocument.wordprocessingml.document
Filename: S9_LRTI-multivariate-logistic.DOCX
Description: Attendances with LRTI- results of multivariate logistic regression for factors identified as significant in univariate regression analysis
Content type: Textual content
File size: 77kB
Mime-Type: application/vnd.openxmlformats-officedocument.wordprocessingml.document
Filename: S10_Diarrhoeal-univariate-continuous.DOCX
Description: Attendances with diarrhoeal disease- results of univariate analysis of continuous independent variables
Content type: Dataset
File size: 55kB
Mime-Type: application/vnd.openxmlformats-officedocument.wordprocessingml.document
Filename: S11_Diarrhoeal-univariate-ordered.DOCX
Description: Attendances with diarrhoeal disease- results of univariate analysis of ordered categorical independent variables
Content type: Dataset
File size: 51kB
Mime-Type: application/vnd.openxmlformats-officedocument.wordprocessingml.document
Filename: S12_Diarrhoeal-univariate-independent.DOCX
Description: Attendances with diarrhoeal disease- results of univariate analysis of dichotomous independent variables
Content type: Dataset
File size: 80kB
Mime-Type: application/vnd.openxmlformats-officedocument.wordprocessingml.document
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
Content type: Dataset
File size: 15kB
Mime-Type: application/vnd.openxmlformats-officedocument.wordprocessingml.document
Documentation
Filename: S1_CohortRecruitmentCriteria.DOCX
Description: Cohort recruitment criteria
Content type: Textual content
File size: 80kB
Mime-Type: application/vnd.openxmlformats-officedocument.wordprocessingml.document
Filename: S1_PAWS_score.DOCX
Description: How PAWS score was calculated
Content type: Textual content
File size: 86kB
Mime-Type: application/vnd.openxmlformats-officedocument.wordprocessingml.document
Filename: S2_LiteratureSearchStrategy.DOCX
Description: Literature search strategy
Content type: Textual content
File size: 94kB
Mime-Type: application/vnd.openxmlformats-officedocument.wordprocessingml.document
Filename: S3_PRISMA_Flow.DOCX
Description: PRISMA flow diagram
Content type: Still Image
File size: 89kB
Mime-Type: application/vnd.openxmlformats-officedocument.wordprocessingml.document
Filename: S14_DataDictionary_CSV.csv
Description: Explanatory Data Dictionary
Content type: Dataset
File size: 17kB
Mime-Type: text/plain
Filename: S15_KEMRes_Codes.DOCX
Description: Codes on KEMRes
Content type: Textual content
File size: 81kB
Mime-Type: application/vnd.openxmlformats-officedocument.wordprocessingml.document