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Research Article
Samuel Manda
South African Medical Research Council
Corresponding Author
License:
This work is licensed under a CC BY 4.0 License. Read Full License
Background
Deaths certification remains a challenge mostly in the low-resources countries which results in poor availability and incompleteness of vital statistics. In such sceneries, public health and developmental policies concerning the burden of diseases are limited in their derivation and application. The study aimed at developing and evaluating appropriate cause-specific mortality risk scores using Verbal Autopsy (VA) data.
Methods
A logistic regression model was used to identify independent predictors of NCDs, AIDS/TB, and CDs specific causes of death. Risk scores were derived using a point scoring system. Receiver operating characteristic (ROC) curves were used to validate the models by matching the number of reported deaths to the number of deaths predicted by the models.
Results
The models provided accurate prediction results with sensitivities of 86%, 46%, and 40% and false-positive error rates of 44%, 11%, and 12% for NCDs, AIDS/TB, and CDs respectively.
Conclusion
This study has shown that, in low- and medium-income countries, simple risk scores using information collected using verbal autopsy questionnaire could be adequately used to assign causes of death for Non-Communicable Diseases and AIDS/TB
Keywords
Verbal Autopsy, specific-cause of death, mortality Risk Score and cut-points, validation
No competing interests reported.
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Peer Review Timeline
CURRENT STATUS: Under Revision
Version 1
Posted 12 May, 2021
No community comments so far
Editorial decision: Major revision
On 13 Aug, 2021
Reviews received
Received 12 Aug, 2021
Reviewers agreed
On 28 Jul, 2021
Reviews received
Received 03 Jul, 2021
Reviewers agreed
On 20 Jun, 2021
Reviewers agreed
On 18 Jun, 2021
Reviewers invited
Invitations sent on 15 Jun, 2021
Editor assigned
On 15 Jun, 2021
Editor invited
On 04 May, 2021
Submission checks complete
On 30 Apr, 2021
First submitted
On 29 Apr, 2021
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
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A new preprint design is coming!
We have improved readability, clarity, accessibility, and opportunities for engagement.
This preprint is under consideration at Scientific Reports. A preprint is a preliminary version of a manuscript that has not completed peer review at a journal. Research Square does not conduct peer review prior to posting preprints. The posting of a preprint on this server should not be interpreted as an endorsement of its validity or suitability for dissemination as established information or for guiding clinical practice.
Learn more about In Review
Research Article
Samuel Manda
South African Medical Research Council
Corresponding Author
Badges
Prescreen
This manuscript passed our Prescreen assessment
Complete author information
Appropriate declaration statements
Potential risks to human health
Prescreen
Peer Review Timeline
CURRENT STATUS: Under Revision
Version 1
Posted 12 May, 2021
No community comments so far
Editorial decision: Major revision
On 13 Aug, 2021
Reviews received
Received 12 Aug, 2021
Reviewers agreed
On 28 Jul, 2021
Reviews received
Received 03 Jul, 2021
Reviewers agreed
On 20 Jun, 2021
Reviewers agreed
On 18 Jun, 2021
Reviewers invited
Invitations sent on 15 Jun, 2021
Editor assigned
On 15 Jun, 2021
Editor invited
On 04 May, 2021
Submission checks complete
On 30 Apr, 2021
First submitted
On 29 Apr, 2021
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
License:
This work is licensed under a CC BY 4.0 License. Read Full License
Background
Deaths certification remains a challenge mostly in the low-resources countries which results in poor availability and incompleteness of vital statistics. In such sceneries, public health and developmental policies concerning the burden of diseases are limited in their derivation and application. The study aimed at developing and evaluating appropriate cause-specific mortality risk scores using Verbal Autopsy (VA) data.
Methods
A logistic regression model was used to identify independent predictors of NCDs, AIDS/TB, and CDs specific causes of death. Risk scores were derived using a point scoring system. Receiver operating characteristic (ROC) curves were used to validate the models by matching the number of reported deaths to the number of deaths predicted by the models.
Results
The models provided accurate prediction results with sensitivities of 86%, 46%, and 40% and false-positive error rates of 44%, 11%, and 12% for NCDs, AIDS/TB, and CDs respectively.
Conclusion
This study has shown that, in low- and medium-income countries, simple risk scores using information collected using verbal autopsy questionnaire could be adequately used to assign causes of death for Non-Communicable Diseases and AIDS/TB
No competing interests reported.
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