Zachary J Kunicki, Thomas Bayer, Lan Jiang, Melanie L Bozzay, McKenzie J Quinn, Alyssa N De Vito, Sheina Emrani, Sebhat Erqou, John E McGeary, Andrew R Zullo, Matthew S Duprey, Mriganka Singh, Jennifer M Primack, Catherine M Kelso, Wen-Chih Wu, James L Rudolph
{"title":"将回顾期与确定阿尔茨海默病和相关痴呆症进行比较。","authors":"Zachary J Kunicki, Thomas Bayer, Lan Jiang, Melanie L Bozzay, McKenzie J Quinn, Alyssa N De Vito, Sheina Emrani, Sebhat Erqou, John E McGeary, Andrew R Zullo, Matthew S Duprey, Mriganka Singh, Jennifer M Primack, Catherine M Kelso, Wen-Chih Wu, James L Rudolph","doi":"10.1177/15333175231199566","DOIUrl":null,"url":null,"abstract":"<p><p>Claims data are a valuable resource for studying Alzheimer's disease and related dementias (ADRD). Alzheimer's disease and related dementias is often identified using a list of claims codes and a fixed lookback period of 3 years of data. However, a 1-year lookback or an approach using all-available lookback data could be beneficial based on different research questions. Thus, the purpose of this study was to compare 1-year and all-available lookback approaches to ascertaining ADRD compared to the standard 3-year approach. Using a cohort of Veterans hospitalized for heart failure (N = 373, 897), our results suggested high agreement (93% or greater) between the lookback periods. The 1-year lookback period had lower sensitivity (60%) and underestimated the prevalence of ADRD. These results suggest that 1-year and all-available lookback periods are viable approaches when using claims data.</p>","PeriodicalId":50816,"journal":{"name":"American Journal of Alzheimers Disease and Other Dementias","volume":"38 ","pages":"15333175231199566"},"PeriodicalIF":2.7000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10623942/pdf/","citationCount":"0","resultStr":"{\"title\":\"Comparing Lookback Periods to Ascertain Alzheimer's Disease and Related Dementias.\",\"authors\":\"Zachary J Kunicki, Thomas Bayer, Lan Jiang, Melanie L Bozzay, McKenzie J Quinn, Alyssa N De Vito, Sheina Emrani, Sebhat Erqou, John E McGeary, Andrew R Zullo, Matthew S Duprey, Mriganka Singh, Jennifer M Primack, Catherine M Kelso, Wen-Chih Wu, James L Rudolph\",\"doi\":\"10.1177/15333175231199566\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Claims data are a valuable resource for studying Alzheimer's disease and related dementias (ADRD). Alzheimer's disease and related dementias is often identified using a list of claims codes and a fixed lookback period of 3 years of data. However, a 1-year lookback or an approach using all-available lookback data could be beneficial based on different research questions. Thus, the purpose of this study was to compare 1-year and all-available lookback approaches to ascertaining ADRD compared to the standard 3-year approach. Using a cohort of Veterans hospitalized for heart failure (N = 373, 897), our results suggested high agreement (93% or greater) between the lookback periods. The 1-year lookback period had lower sensitivity (60%) and underestimated the prevalence of ADRD. These results suggest that 1-year and all-available lookback periods are viable approaches when using claims data.</p>\",\"PeriodicalId\":50816,\"journal\":{\"name\":\"American Journal of Alzheimers Disease and Other Dementias\",\"volume\":\"38 \",\"pages\":\"15333175231199566\"},\"PeriodicalIF\":2.7000,\"publicationDate\":\"2023-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10623942/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"American Journal of Alzheimers Disease and Other Dementias\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1177/15333175231199566\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"CLINICAL NEUROLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"American Journal of Alzheimers Disease and Other Dementias","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1177/15333175231199566","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
Comparing Lookback Periods to Ascertain Alzheimer's Disease and Related Dementias.
Claims data are a valuable resource for studying Alzheimer's disease and related dementias (ADRD). Alzheimer's disease and related dementias is often identified using a list of claims codes and a fixed lookback period of 3 years of data. However, a 1-year lookback or an approach using all-available lookback data could be beneficial based on different research questions. Thus, the purpose of this study was to compare 1-year and all-available lookback approaches to ascertaining ADRD compared to the standard 3-year approach. Using a cohort of Veterans hospitalized for heart failure (N = 373, 897), our results suggested high agreement (93% or greater) between the lookback periods. The 1-year lookback period had lower sensitivity (60%) and underestimated the prevalence of ADRD. These results suggest that 1-year and all-available lookback periods are viable approaches when using claims data.
期刊介绍:
American Journal of Alzheimer''s Disease and other Dementias® (AJADD) is for professionals on the frontlines of Alzheimer''s care, dementia, and clinical depression--especially physicians, nurses, psychiatrists, administrators, and other healthcare specialists who manage patients with dementias and their families. This journal is a member of the Committee on Publication Ethics (COPE).