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Cancer tracking system improves timeliness of liver cancer care at a Veterans Hospital: A comparison of cohorts before and after implementation of an automated care coordination tool

INTRODUCTION: Hepatocellular carcinoma (HCC) requires complex care coordination. Patient safety may be compromised with untimely follow-up of abnormal liver imaging. This study evaluated whether an electronic case-finding and tracking system improved timeliness of HCC care. METHODS: An electronic me...

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Autores principales: Zhang, Yapei, Mezzacappa, Catherine, Shen, Lin, Ivatorov, Amanda, Petukhova-Greenstein, Alexandra, Mehta, Rajni, Ciarleglio, Maria, Deng, Yanhong, Levin, Woody, Steinhardt, Steve, Connery, Donna, Pineau, Michael, Onyiuke, Ifeyinwa, Taylor, Caroline, Rose, Michal G., Taddei, Tamar H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9931271/
https://www.ncbi.nlm.nih.gov/pubmed/36812575
http://dx.doi.org/10.1371/journal.pdig.0000080
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author Zhang, Yapei
Mezzacappa, Catherine
Shen, Lin
Ivatorov, Amanda
Petukhova-Greenstein, Alexandra
Mehta, Rajni
Ciarleglio, Maria
Deng, Yanhong
Levin, Woody
Steinhardt, Steve
Connery, Donna
Pineau, Michael
Onyiuke, Ifeyinwa
Taylor, Caroline
Rose, Michal G.
Taddei, Tamar H.
author_facet Zhang, Yapei
Mezzacappa, Catherine
Shen, Lin
Ivatorov, Amanda
Petukhova-Greenstein, Alexandra
Mehta, Rajni
Ciarleglio, Maria
Deng, Yanhong
Levin, Woody
Steinhardt, Steve
Connery, Donna
Pineau, Michael
Onyiuke, Ifeyinwa
Taylor, Caroline
Rose, Michal G.
Taddei, Tamar H.
author_sort Zhang, Yapei
collection PubMed
description INTRODUCTION: Hepatocellular carcinoma (HCC) requires complex care coordination. Patient safety may be compromised with untimely follow-up of abnormal liver imaging. This study evaluated whether an electronic case-finding and tracking system improved timeliness of HCC care. METHODS: An electronic medical record-linked abnormal imaging identification and tracking system was implemented at a Veterans Affairs Hospital. This system reviews all liver radiology reports, generates a queue of abnormal cases for review, and maintains a queue of cancer care events with due dates and automated reminders. This is a pre-/post-intervention cohort study to evaluate whether implementation of this tracking system reduced time between HCC diagnosis and treatment and time between first liver image suspicious for HCC, specialty care, diagnosis, and treatment at a Veterans Hospital. Patients diagnosed with HCC in the 37 months before tracking system implementation were compared to patients diagnosed with HCC in the 71 months after its implementation. Linear regression was used to calculate mean change in relevant intervals of care adjusted for age, race, ethnicity, BCLC stage, and indication for first suspicious image. RESULTS: There were 60 patients pre-intervention and 127 post-intervention. In the post-intervention group, adjusted mean time from diagnosis to treatment was 36 days shorter (p = 0.007), time from imaging to diagnosis 51 days shorter (p = 0.21), and time from imaging to treatment 87 days shorter (p = 0.05). Patients whose imaging was performed for HCC screening had the greatest improvement in time from diagnosis to treatment (63 days, p = 0.02) and from first suspicious image to treatment (179 days, p = 0.03). The post-intervention group also had a greater proportion of HCC diagnosed at earlier BCLC stages (p<0.03). CONCLUSIONS: The tracking system improved timeliness of HCC diagnosis and treatment and may be useful for improving HCC care delivery, including in health systems already implementing HCC screening.
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spelling pubmed-99312712023-02-16 Cancer tracking system improves timeliness of liver cancer care at a Veterans Hospital: A comparison of cohorts before and after implementation of an automated care coordination tool Zhang, Yapei Mezzacappa, Catherine Shen, Lin Ivatorov, Amanda Petukhova-Greenstein, Alexandra Mehta, Rajni Ciarleglio, Maria Deng, Yanhong Levin, Woody Steinhardt, Steve Connery, Donna Pineau, Michael Onyiuke, Ifeyinwa Taylor, Caroline Rose, Michal G. Taddei, Tamar H. PLOS Digit Health Research Article INTRODUCTION: Hepatocellular carcinoma (HCC) requires complex care coordination. Patient safety may be compromised with untimely follow-up of abnormal liver imaging. This study evaluated whether an electronic case-finding and tracking system improved timeliness of HCC care. METHODS: An electronic medical record-linked abnormal imaging identification and tracking system was implemented at a Veterans Affairs Hospital. This system reviews all liver radiology reports, generates a queue of abnormal cases for review, and maintains a queue of cancer care events with due dates and automated reminders. This is a pre-/post-intervention cohort study to evaluate whether implementation of this tracking system reduced time between HCC diagnosis and treatment and time between first liver image suspicious for HCC, specialty care, diagnosis, and treatment at a Veterans Hospital. Patients diagnosed with HCC in the 37 months before tracking system implementation were compared to patients diagnosed with HCC in the 71 months after its implementation. Linear regression was used to calculate mean change in relevant intervals of care adjusted for age, race, ethnicity, BCLC stage, and indication for first suspicious image. RESULTS: There were 60 patients pre-intervention and 127 post-intervention. In the post-intervention group, adjusted mean time from diagnosis to treatment was 36 days shorter (p = 0.007), time from imaging to diagnosis 51 days shorter (p = 0.21), and time from imaging to treatment 87 days shorter (p = 0.05). Patients whose imaging was performed for HCC screening had the greatest improvement in time from diagnosis to treatment (63 days, p = 0.02) and from first suspicious image to treatment (179 days, p = 0.03). The post-intervention group also had a greater proportion of HCC diagnosed at earlier BCLC stages (p<0.03). CONCLUSIONS: The tracking system improved timeliness of HCC diagnosis and treatment and may be useful for improving HCC care delivery, including in health systems already implementing HCC screening. Public Library of Science 2022-08-01 /pmc/articles/PMC9931271/ /pubmed/36812575 http://dx.doi.org/10.1371/journal.pdig.0000080 Text en https://creativecommons.org/publicdomain/zero/1.0/This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 (https://creativecommons.org/publicdomain/zero/1.0/) public domain dedication.
spellingShingle Research Article
Zhang, Yapei
Mezzacappa, Catherine
Shen, Lin
Ivatorov, Amanda
Petukhova-Greenstein, Alexandra
Mehta, Rajni
Ciarleglio, Maria
Deng, Yanhong
Levin, Woody
Steinhardt, Steve
Connery, Donna
Pineau, Michael
Onyiuke, Ifeyinwa
Taylor, Caroline
Rose, Michal G.
Taddei, Tamar H.
Cancer tracking system improves timeliness of liver cancer care at a Veterans Hospital: A comparison of cohorts before and after implementation of an automated care coordination tool
title Cancer tracking system improves timeliness of liver cancer care at a Veterans Hospital: A comparison of cohorts before and after implementation of an automated care coordination tool
title_full Cancer tracking system improves timeliness of liver cancer care at a Veterans Hospital: A comparison of cohorts before and after implementation of an automated care coordination tool
title_fullStr Cancer tracking system improves timeliness of liver cancer care at a Veterans Hospital: A comparison of cohorts before and after implementation of an automated care coordination tool
title_full_unstemmed Cancer tracking system improves timeliness of liver cancer care at a Veterans Hospital: A comparison of cohorts before and after implementation of an automated care coordination tool
title_short Cancer tracking system improves timeliness of liver cancer care at a Veterans Hospital: A comparison of cohorts before and after implementation of an automated care coordination tool
title_sort cancer tracking system improves timeliness of liver cancer care at a veterans hospital: a comparison of cohorts before and after implementation of an automated care coordination tool
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9931271/
https://www.ncbi.nlm.nih.gov/pubmed/36812575
http://dx.doi.org/10.1371/journal.pdig.0000080
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