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Health and resource burden of a cancer diagnosis on the caregiver: an analysis of administrative claims data
PURPOSE: Cancer diagnosis is known to affect the family; however, administrative claims data are not commonly used to evaluate the broader impact of cancer diagnosis. This study was designed to evaluate the feasibility of using claims data to explore the impact of cancer diagnosis on the caregiver....
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8406769/ https://www.ncbi.nlm.nih.gov/pubmed/34461888 http://dx.doi.org/10.1186/s12913-021-06938-8 |
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author | Hess, Lisa M Wong-Jacobson, Siew Hoong Peterson, Patrick M |
author_facet | Hess, Lisa M Wong-Jacobson, Siew Hoong Peterson, Patrick M |
author_sort | Hess, Lisa M |
collection | PubMed |
description | PURPOSE: Cancer diagnosis is known to affect the family; however, administrative claims data are not commonly used to evaluate the broader impact of cancer diagnosis. This study was designed to evaluate the feasibility of using claims data to explore the impact of cancer diagnosis on the caregiver. METHODS: IBM Marketscan data were used to identify eligible cancer patients, who were required to have a second adult over the age of 18 (defined as “caregiver” for this study) covered by the same the healthcare policy. Eligible control pairs included any two adults in the same policy with no evidence of cancer; for each pair one adult was randomly assigned to be the “patient control” while their partner was assigned as “caregiver control”. Probabilistic stratified sampling was used select control pairs for analysis by matching the relative frequencies within sex and age group strata to those of patient/caregiver pairs. Eligible control pairs were probabilistically sampled without replacement until the stratum with at least 0.5 % relative frequency had been completely sampled. Caregiver and caregiver control healthcare resource utilization (HCRU), new diagnoses, and healthcare costs were compared during the 12-month post-diagnosis period. Subgroup analyses were conducted by cancer subtypes (breast, colorectal, lung, gastric, sarcoma) and by sex of the patient and caregiver. RESULTS: A total of 62,893 patient/caregiver pairs and 449,177 control pairs were included. Overall, caregivers used slightly fewer healthcare resources and expended less costs during the 12-month period after the cancer diagnosis than controls (physician visits; 85.8 % vs. 95.7 %; hospitalizations 5.4 % vs. 7.0 %; emergency room visits 15.7 % versus 16.2 %, all p ≤ 0.001). This finding was consistent in all subgroup analyses. New diagnoses were lower in the caregiver cohort, except for mental disorders, which were higher than controls (14.3 % vs. 9.9 %, p < 0.0001). Psychotherapeutic/antidepressant utilization occurred among 21.0 % of caregivers versus 17.2 % of caregiver controls during this period. CONCLUSIONS: It is feasible to use administrative claims data to evaluate the impact of a cancer diagnosis on the caregiver to evaluate outcomes such as HCRU, diagnoses and costs. These findings raise hypotheses about deferment of health care and increased mental distress during the caregiving period. |
format | Online Article Text |
id | pubmed-8406769 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-84067692021-08-31 Health and resource burden of a cancer diagnosis on the caregiver: an analysis of administrative claims data Hess, Lisa M Wong-Jacobson, Siew Hoong Peterson, Patrick M BMC Health Serv Res Research PURPOSE: Cancer diagnosis is known to affect the family; however, administrative claims data are not commonly used to evaluate the broader impact of cancer diagnosis. This study was designed to evaluate the feasibility of using claims data to explore the impact of cancer diagnosis on the caregiver. METHODS: IBM Marketscan data were used to identify eligible cancer patients, who were required to have a second adult over the age of 18 (defined as “caregiver” for this study) covered by the same the healthcare policy. Eligible control pairs included any two adults in the same policy with no evidence of cancer; for each pair one adult was randomly assigned to be the “patient control” while their partner was assigned as “caregiver control”. Probabilistic stratified sampling was used select control pairs for analysis by matching the relative frequencies within sex and age group strata to those of patient/caregiver pairs. Eligible control pairs were probabilistically sampled without replacement until the stratum with at least 0.5 % relative frequency had been completely sampled. Caregiver and caregiver control healthcare resource utilization (HCRU), new diagnoses, and healthcare costs were compared during the 12-month post-diagnosis period. Subgroup analyses were conducted by cancer subtypes (breast, colorectal, lung, gastric, sarcoma) and by sex of the patient and caregiver. RESULTS: A total of 62,893 patient/caregiver pairs and 449,177 control pairs were included. Overall, caregivers used slightly fewer healthcare resources and expended less costs during the 12-month period after the cancer diagnosis than controls (physician visits; 85.8 % vs. 95.7 %; hospitalizations 5.4 % vs. 7.0 %; emergency room visits 15.7 % versus 16.2 %, all p ≤ 0.001). This finding was consistent in all subgroup analyses. New diagnoses were lower in the caregiver cohort, except for mental disorders, which were higher than controls (14.3 % vs. 9.9 %, p < 0.0001). Psychotherapeutic/antidepressant utilization occurred among 21.0 % of caregivers versus 17.2 % of caregiver controls during this period. CONCLUSIONS: It is feasible to use administrative claims data to evaluate the impact of a cancer diagnosis on the caregiver to evaluate outcomes such as HCRU, diagnoses and costs. These findings raise hypotheses about deferment of health care and increased mental distress during the caregiving period. BioMed Central 2021-08-30 /pmc/articles/PMC8406769/ /pubmed/34461888 http://dx.doi.org/10.1186/s12913-021-06938-8 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Hess, Lisa M Wong-Jacobson, Siew Hoong Peterson, Patrick M Health and resource burden of a cancer diagnosis on the caregiver: an analysis of administrative claims data |
title | Health and resource burden of a cancer diagnosis on the caregiver: an analysis of administrative claims data |
title_full | Health and resource burden of a cancer diagnosis on the caregiver: an analysis of administrative claims data |
title_fullStr | Health and resource burden of a cancer diagnosis on the caregiver: an analysis of administrative claims data |
title_full_unstemmed | Health and resource burden of a cancer diagnosis on the caregiver: an analysis of administrative claims data |
title_short | Health and resource burden of a cancer diagnosis on the caregiver: an analysis of administrative claims data |
title_sort | health and resource burden of a cancer diagnosis on the caregiver: an analysis of administrative claims data |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8406769/ https://www.ncbi.nlm.nih.gov/pubmed/34461888 http://dx.doi.org/10.1186/s12913-021-06938-8 |
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