4 datasets found
  1. S1 Data -

    • plos.figshare.com
    xlsx
    Updated Nov 29, 2023
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    Philomina Afful; Godwin Adjei Vechey; Peter Kipo Leta; Foster Bediako Gbafu; Fortress Yayra Aku (2023). S1 Data - [Dataset]. http://doi.org/10.1371/journal.pone.0294928.s001
    Explore at:
    xlsxAvailable download formats
    Dataset updated
    Nov 29, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Philomina Afful; Godwin Adjei Vechey; Peter Kipo Leta; Foster Bediako Gbafu; Fortress Yayra Aku
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Multidrug-resistant Tuberculosis (MDR-TB) remains a global health concern. The disease results in a prolonged treatment and hence, poses a financial burden to affected individuals and their families. The Ghana National TB Control Programme (NTP) has made extensive efforts to control the menace, however, it remains a concern. This study, therefore, aimed to determine the predictors of multidrug-resistant TB in the Cape Coast Teaching Hospital of Ghana. An unmatched case-control study involving 37 cases and 111 controls was conducted using data of TB cases registered for treatment between January 2018 and December 2020 at the Cape Coast Teaching Hospital. Socio-demographic, individual level and social characteristics information were collected from respondents through telephone surveys, face-to-face interviews and review of records using a structured questionnaire built in the Kobo Collect Toolbox. The data was exported to Stata version 16.0 for analysis. Chi-square test and multiple logistic regression were used to determine the predictors of MDR-TB. Associations were considered statistically significant at a 95% confidence interval with a p-value of less than 0.05. The results revealed that the majority (25 [67.6%]) of MDR-TB cases and controls (76 [68.5%]) were aged 30 years and above with a median age of 36.5 (IQR: 28–50) years for all respondents, while 20 (54.1%) of MDR-TB cases and 33 (29.7%) of controls lived in households with one room residences for their families. The following predictors for MDR-TB were identified: BCG vaccination status (AOR = 0.17,95% CI:0.07–0.45), long distance to health facility (AOR = 4.11, 95% CI: 1.55–10.87), number of rooms in residence (AOR = 0.37,95% CI: 0.14–0.99) and first place of visit upon noticing TB symptom (AOR = 4.22,95% CI:1.31–13.64). Predictors of MDR-TB in the current study were multi-faceted. Measures to control MDR-TB should target socio-demographic, health-seeking behaviour and social-related concerns.

  2. f

    Social characteristics of cases and controls.

    • plos.figshare.com
    xls
    Updated Nov 29, 2023
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    Philomina Afful; Godwin Adjei Vechey; Peter Kipo Leta; Foster Bediako Gbafu; Fortress Yayra Aku (2023). Social characteristics of cases and controls. [Dataset]. http://doi.org/10.1371/journal.pone.0294928.t003
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Nov 29, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Philomina Afful; Godwin Adjei Vechey; Peter Kipo Leta; Foster Bediako Gbafu; Fortress Yayra Aku
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Multidrug-resistant Tuberculosis (MDR-TB) remains a global health concern. The disease results in a prolonged treatment and hence, poses a financial burden to affected individuals and their families. The Ghana National TB Control Programme (NTP) has made extensive efforts to control the menace, however, it remains a concern. This study, therefore, aimed to determine the predictors of multidrug-resistant TB in the Cape Coast Teaching Hospital of Ghana. An unmatched case-control study involving 37 cases and 111 controls was conducted using data of TB cases registered for treatment between January 2018 and December 2020 at the Cape Coast Teaching Hospital. Socio-demographic, individual level and social characteristics information were collected from respondents through telephone surveys, face-to-face interviews and review of records using a structured questionnaire built in the Kobo Collect Toolbox. The data was exported to Stata version 16.0 for analysis. Chi-square test and multiple logistic regression were used to determine the predictors of MDR-TB. Associations were considered statistically significant at a 95% confidence interval with a p-value of less than 0.05. The results revealed that the majority (25 [67.6%]) of MDR-TB cases and controls (76 [68.5%]) were aged 30 years and above with a median age of 36.5 (IQR: 28–50) years for all respondents, while 20 (54.1%) of MDR-TB cases and 33 (29.7%) of controls lived in households with one room residences for their families. The following predictors for MDR-TB were identified: BCG vaccination status (AOR = 0.17,95% CI:0.07–0.45), long distance to health facility (AOR = 4.11, 95% CI: 1.55–10.87), number of rooms in residence (AOR = 0.37,95% CI: 0.14–0.99) and first place of visit upon noticing TB symptom (AOR = 4.22,95% CI:1.31–13.64). Predictors of MDR-TB in the current study were multi-faceted. Measures to control MDR-TB should target socio-demographic, health-seeking behaviour and social-related concerns.

  3. f

    Predictors of MDR-TB cases.

    • plos.figshare.com
    xls
    Updated Nov 29, 2023
    Share
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    Email
    Click to copy link
    Link copied
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    Philomina Afful; Godwin Adjei Vechey; Peter Kipo Leta; Foster Bediako Gbafu; Fortress Yayra Aku (2023). Predictors of MDR-TB cases. [Dataset]. http://doi.org/10.1371/journal.pone.0294928.t004
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Nov 29, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Philomina Afful; Godwin Adjei Vechey; Peter Kipo Leta; Foster Bediako Gbafu; Fortress Yayra Aku
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Multidrug-resistant Tuberculosis (MDR-TB) remains a global health concern. The disease results in a prolonged treatment and hence, poses a financial burden to affected individuals and their families. The Ghana National TB Control Programme (NTP) has made extensive efforts to control the menace, however, it remains a concern. This study, therefore, aimed to determine the predictors of multidrug-resistant TB in the Cape Coast Teaching Hospital of Ghana. An unmatched case-control study involving 37 cases and 111 controls was conducted using data of TB cases registered for treatment between January 2018 and December 2020 at the Cape Coast Teaching Hospital. Socio-demographic, individual level and social characteristics information were collected from respondents through telephone surveys, face-to-face interviews and review of records using a structured questionnaire built in the Kobo Collect Toolbox. The data was exported to Stata version 16.0 for analysis. Chi-square test and multiple logistic regression were used to determine the predictors of MDR-TB. Associations were considered statistically significant at a 95% confidence interval with a p-value of less than 0.05. The results revealed that the majority (25 [67.6%]) of MDR-TB cases and controls (76 [68.5%]) were aged 30 years and above with a median age of 36.5 (IQR: 28–50) years for all respondents, while 20 (54.1%) of MDR-TB cases and 33 (29.7%) of controls lived in households with one room residences for their families. The following predictors for MDR-TB were identified: BCG vaccination status (AOR = 0.17,95% CI:0.07–0.45), long distance to health facility (AOR = 4.11, 95% CI: 1.55–10.87), number of rooms in residence (AOR = 0.37,95% CI: 0.14–0.99) and first place of visit upon noticing TB symptom (AOR = 4.22,95% CI:1.31–13.64). Predictors of MDR-TB in the current study were multi-faceted. Measures to control MDR-TB should target socio-demographic, health-seeking behaviour and social-related concerns.

  4. Socio-demographic characteristics of MDR-TB cases and their controls.

    • plos.figshare.com
    xls
    Updated Nov 29, 2023
    Share
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    Click to copy link
    Link copied
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    Philomina Afful; Godwin Adjei Vechey; Peter Kipo Leta; Foster Bediako Gbafu; Fortress Yayra Aku (2023). Socio-demographic characteristics of MDR-TB cases and their controls. [Dataset]. http://doi.org/10.1371/journal.pone.0294928.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Nov 29, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Philomina Afful; Godwin Adjei Vechey; Peter Kipo Leta; Foster Bediako Gbafu; Fortress Yayra Aku
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Socio-demographic characteristics of MDR-TB cases and their controls.

  5. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Philomina Afful; Godwin Adjei Vechey; Peter Kipo Leta; Foster Bediako Gbafu; Fortress Yayra Aku (2023). S1 Data - [Dataset]. http://doi.org/10.1371/journal.pone.0294928.s001
Organization logo

S1 Data -

Related Article
Explore at:
xlsxAvailable download formats
Dataset updated
Nov 29, 2023
Dataset provided by
PLOShttp://plos.org/
Authors
Philomina Afful; Godwin Adjei Vechey; Peter Kipo Leta; Foster Bediako Gbafu; Fortress Yayra Aku
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Description

Multidrug-resistant Tuberculosis (MDR-TB) remains a global health concern. The disease results in a prolonged treatment and hence, poses a financial burden to affected individuals and their families. The Ghana National TB Control Programme (NTP) has made extensive efforts to control the menace, however, it remains a concern. This study, therefore, aimed to determine the predictors of multidrug-resistant TB in the Cape Coast Teaching Hospital of Ghana. An unmatched case-control study involving 37 cases and 111 controls was conducted using data of TB cases registered for treatment between January 2018 and December 2020 at the Cape Coast Teaching Hospital. Socio-demographic, individual level and social characteristics information were collected from respondents through telephone surveys, face-to-face interviews and review of records using a structured questionnaire built in the Kobo Collect Toolbox. The data was exported to Stata version 16.0 for analysis. Chi-square test and multiple logistic regression were used to determine the predictors of MDR-TB. Associations were considered statistically significant at a 95% confidence interval with a p-value of less than 0.05. The results revealed that the majority (25 [67.6%]) of MDR-TB cases and controls (76 [68.5%]) were aged 30 years and above with a median age of 36.5 (IQR: 28–50) years for all respondents, while 20 (54.1%) of MDR-TB cases and 33 (29.7%) of controls lived in households with one room residences for their families. The following predictors for MDR-TB were identified: BCG vaccination status (AOR = 0.17,95% CI:0.07–0.45), long distance to health facility (AOR = 4.11, 95% CI: 1.55–10.87), number of rooms in residence (AOR = 0.37,95% CI: 0.14–0.99) and first place of visit upon noticing TB symptom (AOR = 4.22,95% CI:1.31–13.64). Predictors of MDR-TB in the current study were multi-faceted. Measures to control MDR-TB should target socio-demographic, health-seeking behaviour and social-related concerns.

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