Cargando…

Cost-Effectiveness of Antihypertensive Deprescribing in Primary Care: a Markov Modelling Study Using Data From the OPTiMISE Trial

BACKGROUND: Deprescribing of antihypertensive medications for older patients with normal blood pressure is recommended by some clinical guidelines, where the potential harms of treatment may outweigh the benefits. This study aimed to assess the cost-effectiveness of this approach. METHODS: A Markov...

Descripción completa

Detalles Bibliográficos
Autores principales: Jowett, Sue, Kodabuckus, Shahela, Ford, Gary A., Hobbs, F.D. Richard, Lown, Mark, Mant, Jonathan, Payne, Rupert, McManus, Richard J., Sheppard, James P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8997697/
https://www.ncbi.nlm.nih.gov/pubmed/35266409
http://dx.doi.org/10.1161/HYPERTENSIONAHA.121.18726
_version_ 1784684764683304960
author Jowett, Sue
Kodabuckus, Shahela
Ford, Gary A.
Hobbs, F.D. Richard
Lown, Mark
Mant, Jonathan
Payne, Rupert
McManus, Richard J.
Sheppard, James P.
author_facet Jowett, Sue
Kodabuckus, Shahela
Ford, Gary A.
Hobbs, F.D. Richard
Lown, Mark
Mant, Jonathan
Payne, Rupert
McManus, Richard J.
Sheppard, James P.
author_sort Jowett, Sue
collection PubMed
description BACKGROUND: Deprescribing of antihypertensive medications for older patients with normal blood pressure is recommended by some clinical guidelines, where the potential harms of treatment may outweigh the benefits. This study aimed to assess the cost-effectiveness of this approach. METHODS: A Markov patient-level simulation was undertaken to model the effect of withdrawing one antihypertensive compared with usual care, over a life-time horizon. Model population characteristics were estimated using data from the OPTiMISE antihypertensive deprescribing trial, and the effects of blood pressure changes on outcomes were derived from the literature. Health-related quality of life was modeled in Quality-Adjusted Life Years (QALYs) and presented as costs per QALY gained. RESULTS: In the base-case analysis, medication reduction resulted in lower costs than usual care (mean difference £185), but also lower QALYs (mean difference 0.062) per patient over a life-time horizon. Usual care was cost-effective at £2975 per QALY gained (more costly, but more effective). Medication reduction resulted more heart failure and stroke/TIA events but fewer adverse events. Medication reduction may be the preferred strategy at a willingness-to-pay of £20 000/QALY, where the baseline absolute risk of serious drug-related adverse events was ≥7.7% a year (compared with 1.7% in the base-case). CONCLUSIONS: Although there was uncertainty around many of the assumptions underpinning this model, these findings suggest that antihypertensive medication reduction should not be attempted in many older patients with controlled systolic blood pressure. For populations at high risk of adverse effects, deprescribing may be beneficial, but a targeted approach would be required in routine practice.
format Online
Article
Text
id pubmed-8997697
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Lippincott Williams & Wilkins
record_format MEDLINE/PubMed
spelling pubmed-89976972022-04-13 Cost-Effectiveness of Antihypertensive Deprescribing in Primary Care: a Markov Modelling Study Using Data From the OPTiMISE Trial Jowett, Sue Kodabuckus, Shahela Ford, Gary A. Hobbs, F.D. Richard Lown, Mark Mant, Jonathan Payne, Rupert McManus, Richard J. Sheppard, James P. Hypertension Original Articles BACKGROUND: Deprescribing of antihypertensive medications for older patients with normal blood pressure is recommended by some clinical guidelines, where the potential harms of treatment may outweigh the benefits. This study aimed to assess the cost-effectiveness of this approach. METHODS: A Markov patient-level simulation was undertaken to model the effect of withdrawing one antihypertensive compared with usual care, over a life-time horizon. Model population characteristics were estimated using data from the OPTiMISE antihypertensive deprescribing trial, and the effects of blood pressure changes on outcomes were derived from the literature. Health-related quality of life was modeled in Quality-Adjusted Life Years (QALYs) and presented as costs per QALY gained. RESULTS: In the base-case analysis, medication reduction resulted in lower costs than usual care (mean difference £185), but also lower QALYs (mean difference 0.062) per patient over a life-time horizon. Usual care was cost-effective at £2975 per QALY gained (more costly, but more effective). Medication reduction resulted more heart failure and stroke/TIA events but fewer adverse events. Medication reduction may be the preferred strategy at a willingness-to-pay of £20 000/QALY, where the baseline absolute risk of serious drug-related adverse events was ≥7.7% a year (compared with 1.7% in the base-case). CONCLUSIONS: Although there was uncertainty around many of the assumptions underpinning this model, these findings suggest that antihypertensive medication reduction should not be attempted in many older patients with controlled systolic blood pressure. For populations at high risk of adverse effects, deprescribing may be beneficial, but a targeted approach would be required in routine practice. Lippincott Williams & Wilkins 2022-03-10 2022-05 /pmc/articles/PMC8997697/ /pubmed/35266409 http://dx.doi.org/10.1161/HYPERTENSIONAHA.121.18726 Text en © 2022 The Authors. https://creativecommons.org/licenses/by/4.0/Hypertension is published on behalf of the American Heart Association, Inc., by Wolters Kluwer Health, Inc. This is an open access article under the terms of the Creative Commons Attribution (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution, and reproduction in any medium, provided that the original work is properly cited.
spellingShingle Original Articles
Jowett, Sue
Kodabuckus, Shahela
Ford, Gary A.
Hobbs, F.D. Richard
Lown, Mark
Mant, Jonathan
Payne, Rupert
McManus, Richard J.
Sheppard, James P.
Cost-Effectiveness of Antihypertensive Deprescribing in Primary Care: a Markov Modelling Study Using Data From the OPTiMISE Trial
title Cost-Effectiveness of Antihypertensive Deprescribing in Primary Care: a Markov Modelling Study Using Data From the OPTiMISE Trial
title_full Cost-Effectiveness of Antihypertensive Deprescribing in Primary Care: a Markov Modelling Study Using Data From the OPTiMISE Trial
title_fullStr Cost-Effectiveness of Antihypertensive Deprescribing in Primary Care: a Markov Modelling Study Using Data From the OPTiMISE Trial
title_full_unstemmed Cost-Effectiveness of Antihypertensive Deprescribing in Primary Care: a Markov Modelling Study Using Data From the OPTiMISE Trial
title_short Cost-Effectiveness of Antihypertensive Deprescribing in Primary Care: a Markov Modelling Study Using Data From the OPTiMISE Trial
title_sort cost-effectiveness of antihypertensive deprescribing in primary care: a markov modelling study using data from the optimise trial
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8997697/
https://www.ncbi.nlm.nih.gov/pubmed/35266409
http://dx.doi.org/10.1161/HYPERTENSIONAHA.121.18726
work_keys_str_mv AT jowettsue costeffectivenessofantihypertensivedeprescribinginprimarycareamarkovmodellingstudyusingdatafromtheoptimisetrial
AT kodabuckusshahela costeffectivenessofantihypertensivedeprescribinginprimarycareamarkovmodellingstudyusingdatafromtheoptimisetrial
AT fordgarya costeffectivenessofantihypertensivedeprescribinginprimarycareamarkovmodellingstudyusingdatafromtheoptimisetrial
AT hobbsfdrichard costeffectivenessofantihypertensivedeprescribinginprimarycareamarkovmodellingstudyusingdatafromtheoptimisetrial
AT lownmark costeffectivenessofantihypertensivedeprescribinginprimarycareamarkovmodellingstudyusingdatafromtheoptimisetrial
AT mantjonathan costeffectivenessofantihypertensivedeprescribinginprimarycareamarkovmodellingstudyusingdatafromtheoptimisetrial
AT paynerupert costeffectivenessofantihypertensivedeprescribinginprimarycareamarkovmodellingstudyusingdatafromtheoptimisetrial
AT mcmanusrichardj costeffectivenessofantihypertensivedeprescribinginprimarycareamarkovmodellingstudyusingdatafromtheoptimisetrial
AT sheppardjamesp costeffectivenessofantihypertensivedeprescribinginprimarycareamarkovmodellingstudyusingdatafromtheoptimisetrial