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. 2023 Dec;40(12):1143-1155.
doi: 10.1007/s40266-023-01077-7. Epub 2023 Nov 22.

A Trial-Based Cost-Utility Analysis of a Medication Optimization Intervention Versus Standard Care in Older Adults

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A Trial-Based Cost-Utility Analysis of a Medication Optimization Intervention Versus Standard Care in Older Adults

Eirin Guldsten Robinson et al. Drugs Aging. 2023 Dec.

Abstract

Background: Older adults are at greater risk of medication-related harm than younger adults. The Integrated Medication Management model is an interdisciplinary method aiming to optimize medication therapy and improve patient outcomes.

Objective: We aimed to investigate the cost effectiveness of a medication optimization intervention compared to standard care in acutely hospitalized older adults.

Methods: A cost-utility analysis including 285 adults aged ≥ 70 years was carried out alongside the IMMENSE study. Quality-adjusted life years (QALYs) were derived using the EuroQol 5-Dimension 3-Level Health State Questionnaire (EQ-5D-3L). Patient-level data for healthcare use and costs were obtained from administrative registers, taking a healthcare perspective. The incremental cost-effectiveness ratio was estimated for a 12-month follow-up and compared to a societal willingness-to-pay range of €/QALY 27,067-81,200 (NOK 275,000-825,000). Because of a capacity issue in a primary care resulting in extended hospital stays, a subgroup analysis was carried out for non-long and long stayers with hospitalizations < 14 days or ≥ 14 days.

Results: Mean QALYs were 0.023 [95% confidence interval [CI] 0.022-0.025] higher and mean healthcare costs were €4429 [95% CI - 1101 to 11,926] higher for the intervention group in a full population analysis. This produced an incremental cost-effectiveness ratio of €192,565/QALY. For the subgroup analysis, mean QALYs were 0.067 [95% CI 0.066-0.070, n = 222] and - 0.101 [95% CI - 0.035 to 0.048, n = 63] for the intervention group in the non-long stayers and long stayers, respectively. Corresponding mean costs were €- 824 [95% CI - 3869 to 2066] and €1992 [95% CI - 17,964 to 18,811], respectively. The intervention dominated standard care for the non-long stayers with a probability of cost effectiveness of 93.1-99.2% for the whole willingness-to-pay range and 67.8% at a zero willingness to pay. Hospitalizations were the main cost driver, and readmissions contributed the most to the cost difference between the groups.

Conclusions: According to societal willingness-to-pay thresholds, the medication optimization intervention was not cost effective compared to standard care for the full population. The intervention dominated standard care for the non-long stayers, with a high probability of cost effectiveness.

Clinical trial registration: The IMMENSE trial was registered in ClinicalTrials.gov on 28 June, 2016 before enrolment started (NCT02816086).

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Conflict of interest statement

Eirin Guldsten Robinson, Hanna Gyllensten, Jeanette Schultz Johansen, Kjerstin Havnes, Anne Gerd Granas, Trine Strand Bergmo, Lars Småbrekke, Beate Hennie Garcia, and Kjell H. Halvorsen have no conflicts of interest that are directly relevant to the content of this article.

Figures

Fig. 1
Fig. 1
Study flowchart showing the EuroQol 5-dimension 3-level questionnaire (EQ-5D-3L) completed or not completed at discharge, 1 month, 6 months, and 12 months in the study follow-up period. CUA cost-utility analysis
Fig. 2
Fig. 2
Cost-effectiveness plane with 1000 pairwise bootstrapped incremental cost-effectiveness ratios [ICERs] (left side) and the cost-effectiveness acceptability curve showing the probability of cost effectiveness at different willingness-to-pay thresholds for the intervention (right side) for the a full population (percentage of ICERs in the north-east quadrant [NE]: 80.80%, percentage of ICERs in the south-east quadrant [SE]: 6.20%, percentage of ICERs in the north-west quadrant [NW]: 12.70%, percentage of ICERs in the south-west quadrant [SW]: 0.03%), b non-long stayers (NE: 32.20%, SE: 67.80%, NW: 0.01%, SW: 0.00%), and c long stayers (NE: 0.07%, SE: 0.08%, NW: 57.30%, SW: 41.20%), respectively. The dotted lines represent minimum and maximum willingness to pay for the Norwegian setting (€27,067–81,200). QALY quality-adjusted life year

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