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

Author:

Jowett Sue1ORCID,Kodabuckus Shahela1,Ford Gary A.2ORCID,Hobbs F.D. Richard3ORCID,Lown Mark4,Mant Jonathan5,Payne Rupert6ORCID,McManus Richard J.3ORCID,Sheppard James P.3ORCID,

Affiliation:

1. Institute of Applied Health Research, University of Birmingham, United Kingdom (S.J., S.K.).

2. Oxford University Hospitals NHS Foundation Trust and University of Oxford, United Kingdom (G.A.F.).

3. Nuffield Department of Primary Care Health Sciences, University of Oxford, United Kingdom (F.D.R.H., R.J.M., J.P.S.).

4. Primary Care Research Centre, University of Southampton, Southampton, United Kingdom (M.L.).

5. Primary Care Unit, Department of Public Health & Primary Care, University of Cambridge, United Kingdom (J.M.).

6. Centre for Academic Primary Care, Population Health Sciences, University of Bristol, United Kingdom (R.P.).

Abstract

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.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Internal Medicine

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