Performance of the Tariff Method: validation of a simple additive algorithm for analysis of verbal autopsies
<p>Abstract</p> <p>Background</p> <p>Verbal autopsies provide valuable information for studying mortality patterns in populations that lack reliable vital registration data. Methods for transforming verbal autopsy results into meaningful information for health workers a...
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| Format: | Article |
| Language: | English |
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BMC
2011-08-01
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| Series: | Population Health Metrics |
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| Online Access: | http://www.pophealthmetrics.com/content/9/1/31 |
| _version_ | 1819030306137571328 |
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| author | Murray Christopher JL Flaxman Abraham D James Spencer L |
| author_facet | Murray Christopher JL Flaxman Abraham D James Spencer L |
| author_sort | Murray Christopher JL |
| collection | DOAJ |
| description | <p>Abstract</p> <p>Background</p> <p>Verbal autopsies provide valuable information for studying mortality patterns in populations that lack reliable vital registration data. Methods for transforming verbal autopsy results into meaningful information for health workers and policymakers, however, are often costly or complicated to use. We present a simple additive algorithm, the Tariff Method (termed Tariff), which can be used for assigning individual cause of death and for determining cause-specific mortality fractions (CSMFs) from verbal autopsy data.</p> <p>Methods</p> <p>Tariff calculates a score, or "tariff," for each cause, for each sign/symptom, across a pool of validated verbal autopsy data. The tariffs are summed for a given response pattern in a verbal autopsy, and this sum (score) provides the basis for predicting the cause of death in a dataset. We implemented this algorithm and evaluated the method's predictive ability, both in terms of chance-corrected concordance at the individual cause assignment level and in terms of CSMF accuracy at the population level. The analysis was conducted separately for adult, child, and neonatal verbal autopsies across 500 pairs of train-test validation verbal autopsy data.</p> <p>Results</p> <p>Tariff is capable of outperforming physician-certified verbal autopsy in most cases. In terms of chance-corrected concordance, the method achieves 44.5% in adults, 39% in children, and 23.9% in neonates. CSMF accuracy was 0.745 in adults, 0.709 in children, and 0.679 in neonates.</p> <p>Conclusions</p> <p>Verbal autopsies can be an efficient means of obtaining cause of death data, and Tariff provides an intuitive, reliable method for generating individual cause assignment and CSMFs. The method is transparent and flexible and can be readily implemented by users without training in statistics or computer science.</p> |
| first_indexed | 2024-12-21T06:28:03Z |
| format | Article |
| id | doaj.art-68be93727eac449e8b98a3b417753af2 |
| institution | Directory Open Access Journal |
| issn | 1478-7954 |
| language | English |
| last_indexed | 2024-12-21T06:28:03Z |
| publishDate | 2011-08-01 |
| publisher | BMC |
| record_format | Article |
| series | Population Health Metrics |
| spelling | doaj.art-68be93727eac449e8b98a3b417753af22022-12-21T19:13:04ZengBMCPopulation Health Metrics1478-79542011-08-01913110.1186/1478-7954-9-31Performance of the Tariff Method: validation of a simple additive algorithm for analysis of verbal autopsiesMurray Christopher JLFlaxman Abraham DJames Spencer L<p>Abstract</p> <p>Background</p> <p>Verbal autopsies provide valuable information for studying mortality patterns in populations that lack reliable vital registration data. Methods for transforming verbal autopsy results into meaningful information for health workers and policymakers, however, are often costly or complicated to use. We present a simple additive algorithm, the Tariff Method (termed Tariff), which can be used for assigning individual cause of death and for determining cause-specific mortality fractions (CSMFs) from verbal autopsy data.</p> <p>Methods</p> <p>Tariff calculates a score, or "tariff," for each cause, for each sign/symptom, across a pool of validated verbal autopsy data. The tariffs are summed for a given response pattern in a verbal autopsy, and this sum (score) provides the basis for predicting the cause of death in a dataset. We implemented this algorithm and evaluated the method's predictive ability, both in terms of chance-corrected concordance at the individual cause assignment level and in terms of CSMF accuracy at the population level. The analysis was conducted separately for adult, child, and neonatal verbal autopsies across 500 pairs of train-test validation verbal autopsy data.</p> <p>Results</p> <p>Tariff is capable of outperforming physician-certified verbal autopsy in most cases. In terms of chance-corrected concordance, the method achieves 44.5% in adults, 39% in children, and 23.9% in neonates. CSMF accuracy was 0.745 in adults, 0.709 in children, and 0.679 in neonates.</p> <p>Conclusions</p> <p>Verbal autopsies can be an efficient means of obtaining cause of death data, and Tariff provides an intuitive, reliable method for generating individual cause assignment and CSMFs. The method is transparent and flexible and can be readily implemented by users without training in statistics or computer science.</p>http://www.pophealthmetrics.com/content/9/1/31Verbal autopsyvalidationgold standardTariff Methodcause of deathmortalitycause-specific mortality fractions |
| spellingShingle | Murray Christopher JL Flaxman Abraham D James Spencer L Performance of the Tariff Method: validation of a simple additive algorithm for analysis of verbal autopsies Population Health Metrics Verbal autopsy validation gold standard Tariff Method cause of death mortality cause-specific mortality fractions |
| title | Performance of the Tariff Method: validation of a simple additive algorithm for analysis of verbal autopsies |
| title_full | Performance of the Tariff Method: validation of a simple additive algorithm for analysis of verbal autopsies |
| title_fullStr | Performance of the Tariff Method: validation of a simple additive algorithm for analysis of verbal autopsies |
| title_full_unstemmed | Performance of the Tariff Method: validation of a simple additive algorithm for analysis of verbal autopsies |
| title_short | Performance of the Tariff Method: validation of a simple additive algorithm for analysis of verbal autopsies |
| title_sort | performance of the tariff method validation of a simple additive algorithm for analysis of verbal autopsies |
| topic | Verbal autopsy validation gold standard Tariff Method cause of death mortality cause-specific mortality fractions |
| url | http://www.pophealthmetrics.com/content/9/1/31 |
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