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Evaluating the Discriminatory Ability of the Sickle Cell Data Collection Program’s Administrative Claims Case Definition in Identifying Adults With Sickle Cell Disease: Validation Study
BACKGROUND: Sickle cell disease (SCD) was first recognized in 1910 and identified as a genetic condition in 1949. However, there is not a universal clinical registry that can be used currently to estimate its prevalence. The Sickle Cell Data Collection (SCDC) program, funded by the Centers for Disea...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10365593/ https://www.ncbi.nlm.nih.gov/pubmed/37379070 http://dx.doi.org/10.2196/42816 |
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author | Singh, Ashima Sontag, Marci K Zhou, Mei Dasgupta, Mahua Crume, Tessa McLemore, Morgan Galadanci, Najibah Randall, Eldrida Steiner, Nicole Brandow, Amanda M Koch, Kathryn Field, Joshua J Hassell, Kathryn Snyder, Angela B Kanter, Julie |
author_facet | Singh, Ashima Sontag, Marci K Zhou, Mei Dasgupta, Mahua Crume, Tessa McLemore, Morgan Galadanci, Najibah Randall, Eldrida Steiner, Nicole Brandow, Amanda M Koch, Kathryn Field, Joshua J Hassell, Kathryn Snyder, Angela B Kanter, Julie |
author_sort | Singh, Ashima |
collection | PubMed |
description | BACKGROUND: Sickle cell disease (SCD) was first recognized in 1910 and identified as a genetic condition in 1949. However, there is not a universal clinical registry that can be used currently to estimate its prevalence. The Sickle Cell Data Collection (SCDC) program, funded by the Centers for Disease Control and Prevention, funds state-level grantees to compile data within their states from various sources including administrative claims to identify individuals with SCD. The performance of the SCDC administrative claims case definition has been validated in a pediatric population with SCD, but it has not been tested in adults. OBJECTIVE: The objective of our study is to evaluate the discriminatory ability of the SCDC administrative claims case definition to accurately identify adults with SCD using Medicaid insurance claims data. METHODS: Our study used Medicaid claims data in combination with hospital-based medical record data from the Alabama, Georgia, and Wisconsin SCDC programs to identify individuals aged 18 years or older meeting the SCDC administrative claims case definition. In order to validate this definition, our study included only those individuals who were identified in both Medicaid’s and the partnering clinical institution’s records. We used clinical laboratory tests and diagnostic algorithms to determine the true SCD status of this subset of patients. Positive predictive values (PPV) are reported overall and by state under several scenarios. RESULTS: There were 1219 individuals (354 from Alabama and 865 from Georgia) who were identified through a 5-year time period. The 5-year time period yielded a PPV of 88.4% (91% for data from Alabama and 87% for data from Georgia), when only using data with laboratory-confirmed (gold standard) cases as true positives. With a narrower time period (3-year period) and data from 3 states (Alabama, Georgia, and Wisconsin), a total of 1432 individuals from these states were included in our study. The overall 3-year PPV was 89.4% (92%, 93%, and 81% for data from Alabama, Georgia, and Wisconsin, respectively) when only considering laboratory-confirmed cases as true cases. CONCLUSIONS: Adults identified as having SCD from administrative claims data based on the SCDC case definition have a high probability of truly having the disease, especially if those hospitals have active SCD programs. Administrative claims are thus a valuable data source to identify adults with SCD in a state and understand their epidemiology and health care service usage. |
format | Online Article Text |
id | pubmed-10365593 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | JMIR Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-103655932023-07-25 Evaluating the Discriminatory Ability of the Sickle Cell Data Collection Program’s Administrative Claims Case Definition in Identifying Adults With Sickle Cell Disease: Validation Study Singh, Ashima Sontag, Marci K Zhou, Mei Dasgupta, Mahua Crume, Tessa McLemore, Morgan Galadanci, Najibah Randall, Eldrida Steiner, Nicole Brandow, Amanda M Koch, Kathryn Field, Joshua J Hassell, Kathryn Snyder, Angela B Kanter, Julie JMIR Public Health Surveill Original Paper BACKGROUND: Sickle cell disease (SCD) was first recognized in 1910 and identified as a genetic condition in 1949. However, there is not a universal clinical registry that can be used currently to estimate its prevalence. The Sickle Cell Data Collection (SCDC) program, funded by the Centers for Disease Control and Prevention, funds state-level grantees to compile data within their states from various sources including administrative claims to identify individuals with SCD. The performance of the SCDC administrative claims case definition has been validated in a pediatric population with SCD, but it has not been tested in adults. OBJECTIVE: The objective of our study is to evaluate the discriminatory ability of the SCDC administrative claims case definition to accurately identify adults with SCD using Medicaid insurance claims data. METHODS: Our study used Medicaid claims data in combination with hospital-based medical record data from the Alabama, Georgia, and Wisconsin SCDC programs to identify individuals aged 18 years or older meeting the SCDC administrative claims case definition. In order to validate this definition, our study included only those individuals who were identified in both Medicaid’s and the partnering clinical institution’s records. We used clinical laboratory tests and diagnostic algorithms to determine the true SCD status of this subset of patients. Positive predictive values (PPV) are reported overall and by state under several scenarios. RESULTS: There were 1219 individuals (354 from Alabama and 865 from Georgia) who were identified through a 5-year time period. The 5-year time period yielded a PPV of 88.4% (91% for data from Alabama and 87% for data from Georgia), when only using data with laboratory-confirmed (gold standard) cases as true positives. With a narrower time period (3-year period) and data from 3 states (Alabama, Georgia, and Wisconsin), a total of 1432 individuals from these states were included in our study. The overall 3-year PPV was 89.4% (92%, 93%, and 81% for data from Alabama, Georgia, and Wisconsin, respectively) when only considering laboratory-confirmed cases as true cases. CONCLUSIONS: Adults identified as having SCD from administrative claims data based on the SCDC case definition have a high probability of truly having the disease, especially if those hospitals have active SCD programs. Administrative claims are thus a valuable data source to identify adults with SCD in a state and understand their epidemiology and health care service usage. JMIR Publications 2023-06-28 /pmc/articles/PMC10365593/ /pubmed/37379070 http://dx.doi.org/10.2196/42816 Text en ©Ashima Singh, Marci K Sontag, Mei Zhou, Mahua Dasgupta, Tessa Crume, Morgan McLemore, Najibah Galadanci, Eldrida Randall, Nicole Steiner, Amanda M Brandow, Kathryn Koch, Joshua J Field, Kathryn Hassell, Angela B Snyder, Julie Kanter. Originally published in JMIR Public Health and Surveillance (https://publichealth.jmir.org), 28.06.2023. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Public Health and Surveillance, is properly cited. The complete bibliographic information, a link to the original publication on https://publichealth.jmir.org, as well as this copyright and license information must be included. |
spellingShingle | Original Paper Singh, Ashima Sontag, Marci K Zhou, Mei Dasgupta, Mahua Crume, Tessa McLemore, Morgan Galadanci, Najibah Randall, Eldrida Steiner, Nicole Brandow, Amanda M Koch, Kathryn Field, Joshua J Hassell, Kathryn Snyder, Angela B Kanter, Julie Evaluating the Discriminatory Ability of the Sickle Cell Data Collection Program’s Administrative Claims Case Definition in Identifying Adults With Sickle Cell Disease: Validation Study |
title | Evaluating the Discriminatory Ability of the Sickle Cell Data Collection Program’s Administrative Claims Case Definition in Identifying Adults With Sickle Cell Disease: Validation Study |
title_full | Evaluating the Discriminatory Ability of the Sickle Cell Data Collection Program’s Administrative Claims Case Definition in Identifying Adults With Sickle Cell Disease: Validation Study |
title_fullStr | Evaluating the Discriminatory Ability of the Sickle Cell Data Collection Program’s Administrative Claims Case Definition in Identifying Adults With Sickle Cell Disease: Validation Study |
title_full_unstemmed | Evaluating the Discriminatory Ability of the Sickle Cell Data Collection Program’s Administrative Claims Case Definition in Identifying Adults With Sickle Cell Disease: Validation Study |
title_short | Evaluating the Discriminatory Ability of the Sickle Cell Data Collection Program’s Administrative Claims Case Definition in Identifying Adults With Sickle Cell Disease: Validation Study |
title_sort | evaluating the discriminatory ability of the sickle cell data collection program’s administrative claims case definition in identifying adults with sickle cell disease: validation study |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10365593/ https://www.ncbi.nlm.nih.gov/pubmed/37379070 http://dx.doi.org/10.2196/42816 |
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