The impact of prescription drug insurance on cost related non-adherence to medications in Canada: A Heckman sample selection approach
Unlike some other high-income counties, Canada does not provide universal prescription drug coverage. The various extent of coverage may left some Canadians vulnerable to cost-related non-adherence (CRNA) to medications. Using data from the 2015 national cycle of the Canadian Community Health Survey...
Autores principales: | , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10411745/ https://www.ncbi.nlm.nih.gov/pubmed/37556420 http://dx.doi.org/10.1371/journal.pone.0289776 |
_version_ | 1785086735695216640 |
---|---|
author | Zhang, Qi Laporte, Audrey |
author_facet | Zhang, Qi Laporte, Audrey |
author_sort | Zhang, Qi |
collection | PubMed |
description | Unlike some other high-income counties, Canada does not provide universal prescription drug coverage. The various extent of coverage may left some Canadians vulnerable to cost-related non-adherence (CRNA) to medications. Using data from the 2015 national cycle of the Canadian Community Health Survey, we examine the impact of having private and public drug coverage on mitigating the risk of CRNA with a logit model and a Heckman selection model. CRNA was only observed in respondents who had prescriptions to fill, and respondents did not randomly make decisions on whether to get a prescription. This results in a classic sample selection problem. We found a higher estimated probability of reporting CRNA for uninsured respondents from the Heckman selection model than from the logit model. Respondents with government coverage only had a slightly higher probability of reporting CRNA relative to respondents with private coverage. These findings suggest that, without accounting for sample selection, the risk of not having drug insurance coverage is likely to be underestimated. Moreover, despite covering a less healthy cohort of respondents, the government insurance plans reduce risk of CRNA to a comparable level with private insurance. |
format | Online Article Text |
id | pubmed-10411745 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-104117452023-08-10 The impact of prescription drug insurance on cost related non-adherence to medications in Canada: A Heckman sample selection approach Zhang, Qi Laporte, Audrey PLoS One Research Article Unlike some other high-income counties, Canada does not provide universal prescription drug coverage. The various extent of coverage may left some Canadians vulnerable to cost-related non-adherence (CRNA) to medications. Using data from the 2015 national cycle of the Canadian Community Health Survey, we examine the impact of having private and public drug coverage on mitigating the risk of CRNA with a logit model and a Heckman selection model. CRNA was only observed in respondents who had prescriptions to fill, and respondents did not randomly make decisions on whether to get a prescription. This results in a classic sample selection problem. We found a higher estimated probability of reporting CRNA for uninsured respondents from the Heckman selection model than from the logit model. Respondents with government coverage only had a slightly higher probability of reporting CRNA relative to respondents with private coverage. These findings suggest that, without accounting for sample selection, the risk of not having drug insurance coverage is likely to be underestimated. Moreover, despite covering a less healthy cohort of respondents, the government insurance plans reduce risk of CRNA to a comparable level with private insurance. Public Library of Science 2023-08-09 /pmc/articles/PMC10411745/ /pubmed/37556420 http://dx.doi.org/10.1371/journal.pone.0289776 Text en © 2023 Zhang, Laporte 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 author and source are credited. |
spellingShingle | Research Article Zhang, Qi Laporte, Audrey The impact of prescription drug insurance on cost related non-adherence to medications in Canada: A Heckman sample selection approach |
title | The impact of prescription drug insurance on cost related non-adherence to medications in Canada: A Heckman sample selection approach |
title_full | The impact of prescription drug insurance on cost related non-adherence to medications in Canada: A Heckman sample selection approach |
title_fullStr | The impact of prescription drug insurance on cost related non-adherence to medications in Canada: A Heckman sample selection approach |
title_full_unstemmed | The impact of prescription drug insurance on cost related non-adherence to medications in Canada: A Heckman sample selection approach |
title_short | The impact of prescription drug insurance on cost related non-adherence to medications in Canada: A Heckman sample selection approach |
title_sort | impact of prescription drug insurance on cost related non-adherence to medications in canada: a heckman sample selection approach |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10411745/ https://www.ncbi.nlm.nih.gov/pubmed/37556420 http://dx.doi.org/10.1371/journal.pone.0289776 |
work_keys_str_mv | AT zhangqi theimpactofprescriptiondruginsuranceoncostrelatednonadherencetomedicationsincanadaaheckmansampleselectionapproach AT laporteaudrey theimpactofprescriptiondruginsuranceoncostrelatednonadherencetomedicationsincanadaaheckmansampleselectionapproach AT zhangqi impactofprescriptiondruginsuranceoncostrelatednonadherencetomedicationsincanadaaheckmansampleselectionapproach AT laporteaudrey impactofprescriptiondruginsuranceoncostrelatednonadherencetomedicationsincanadaaheckmansampleselectionapproach |