scholarly journals Deriving causes of child mortality by re–analyzing national verbal autopsy data applying a standardized computer algorithm in Uganda, Rwanda and Ghana

2015 ◽  
Vol 5 (1) ◽  
Author(s):  
Li Liu ◽  
Mengying Li ◽  
Stirling Cummings ◽  
Robert E. Black
2020 ◽  
Vol 35 (6) ◽  
pp. 1512-1531
Author(s):  
Joshua Sumankuuro ◽  
Joseph K. Wulifan ◽  
William Angko ◽  
Judith Crockett ◽  
Emmanuel K. Derbile ◽  
...  

2012 ◽  
Vol 5 (1) ◽  
pp. 19281 ◽  
Author(s):  
Peter Byass ◽  
Daniel Chandramohan ◽  
Samuel J. Clark ◽  
Lucia D'Ambruoso ◽  
Edward Fottrell ◽  
...  
Keyword(s):  

2006 ◽  
Vol 34 (1) ◽  
pp. 26-31 ◽  
Author(s):  
Peter Byass ◽  
Edward Fottrell ◽  
Dao Lan Huong ◽  
Yemane Berhane ◽  
Tumani Corrah ◽  
...  

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Alex Hinga ◽  
Vicki Marsh ◽  
Amek Nyaguara ◽  
Marylene Wamukoya ◽  
Sassy Molyneux

Abstract Background Verbal autopsy is a pragmatic approach for generating cause-of-death data in contexts without well-functioning civil registration and vital statistics systems. It has primarily been conducted in health and demographic surveillance systems (HDSS) in Africa and Asia. Although significant resources have been invested to develop the technical aspects of verbal autopsy, ethical issues have received little attention. We explored the benefits and burdens of verbal autopsy in HDSS settings and identified potential strategies to respond to the ethical issues identified. Methods This research was based on a case study approach centred on two contrasting HDSS in Kenya and followed the Mapping-Framing-Shaping Framework for empirical bioethics research. Data were collected through individual interviews, focus group discussions, document reviews and non-participant observations. 115 participants were involved, including 86 community members (HDSS residents and community representatives), and 29 research staff (HDSS managers, researchers, census field workers and verbal autopsy interviewers). Results The use of verbal autopsy data for research and public health was described as the most common potential benefit of verbal autopsy in HDSS. Community members mentioned the potential uses of verbal autopsy data in addressing immediate public health problems for the local population while research staff emphasized the benefits of verbal autopsy to research and the wider public. The most prominent burden associated with the verbal autopsy was emotional distress for verbal autopsy interviewers and respondents. Moral events linked to the interview, such as being unsure of the right thing to do (moral uncertainty) or knowing the right thing to do and being constrained from acting (moral constraint), emerged as key causes of emotional distress for verbal autopsy interviewers. Conclusions The collection of cause-of-death data through verbal autopsy in HDSS settings presents important ethical and emotional challenges for verbal autopsy interviewers and respondents. These challenges include emotional distress for respondents and moral distress for interviewers. This empirical ethics study provides detailed accounts of the distress caused by verbal autopsy and highlights ethical tensions between potential population benefits and risks to individuals. It includes recommendations for policy and practice to address emotional and moral distress in verbal autopsy.


2020 ◽  
Author(s):  
Muhammad Bilal Siddiqui ◽  
Chiu Wan Ng ◽  
Wah Yun Low ◽  
Hassan Ahmed ◽  
Khadijah Abid

Abstract Background: Globally, child mortality estimates are more clustered among the developing countries where quality data on estimates and determinants of child mortality are compromised. To achieve sustainability in reducing child mortality estimates, the integrated Verbal Autopsy and Social Autopsy (VASA) tool help in estimating prevalence and assigning medical and social causes and determinants of child survival, especially in the developing countries. A validation study of the Child Health Epidemiology Reference Group’s (CHERG) Verbal autopsy/Social Autopsy (VASA) tool has been undertaken for employing in a Karachi VASA Integrated Child Mortality Investigation-ICMI study in its urban slums. Methods: Validity and reliability of the CHERG VASA-tool were tested using face, content, discriminant validation and reliability tests on one hundred randomly selected mothers, with a recent child death event. Data were computed on SPSS (version-21) and R. Results: Testing yielded high I-CVI (>81.43%); high Cronbach's Alpha (0.843); accuracy of between 75% and 100% of the discriminants classifying births to live and stillbirths. The tool showed ICVI (>82.07% and 88.98% respectively) with high accuracy (92% and 97% respectively) for assigning biological and social causes of child deaths respectively. Conclusion: The CHERG VASA questionnaire is valid, reliable, and relevant to the conceptual framework. This valid tool is one of the assets for child health policy as it can assign accurate medical and non-medical causes (pertaining to health-seeking practices) of child mortality cases occurring in Pakistan.


BMJ Open ◽  
2019 ◽  
Vol 9 (10) ◽  
pp. e026331 ◽  
Author(s):  
Sarah Blackstock ◽  
Miles D Witham ◽  
Alisha N Wade ◽  
Amelia Crampin ◽  
David Beran ◽  
...  

ObjectivesVerbal autopsy (VA) is a useful tool to ascertain cause of death where no other mechanisms exist. We aimed to assess the utility of VA data to ascertain deaths due to uncontrolled hyperglycaemia and to develop a weighted score (WS) to specifically identify cases. Cases were identified by a study or site physician with training in diabetes. These diagnoses were also compared with diagnoses produced by a standard computer algorithm (InterVA-4).SettingThis study was done using VA data from the Health and Demographic Survey sites in Agincourt in rural South Africa. Validation of the WS was done using VA data from Karonga in Malawi.ParticipantsAll deaths from ages 1 to 49 years between 1992 and 2015 and between 2002 and 2016 from Agincourt and Karonga, respectively. There were 8699 relevant deaths in Agincourt and 1663 in Karonga.ResultsOf the Agincourt deaths, there were 77 study physician classified cases and 58 computer algorithm classified cases. Agreement between study physician classified cases and computer algorithm classified cases was poor (Cohen’s kappa 0.14). Our WS produced a receiver operator curve with area under the curve of 0.952 (95% CI 0.920 to 0.985). However, positive predictive value (PPV) was below 50% when the WS was applied to the development set and the score was dominated by the necessity for a premortem diagnosis of diabetes. Independent validation showed the WS performed reasonably against site physician classified cases with sensitivity of 86%, specificity of 99%, PPV of 60% and negative predictive value of 99%.ConclusionOur results suggest that widely used VA methodologies may be missing deaths due to uncontrolled hyperglycaemia. Our WS may offer improved ability to detect deaths due to uncontrolled hyperglycaemia in large populations studies where no other means exist.


BMC Medicine ◽  
2017 ◽  
Vol 15 (1) ◽  
Author(s):  
Stéphane Verguet ◽  
Edward O. Jones ◽  
Mira Johri ◽  
Shaun K. Morris ◽  
Wilson Suraweera ◽  
...  

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