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A Novel Method: Super-selective Adrenal Venous Sampling
Published on: September 15, 2017
Preferences for Subtyping Primary Aldosteronism: A Discrete Choice Experiment.
Maame Esi Woode1,2, Winston Chong3,4, Elisabeth Ng5
1Centre for Health Economics, Monash Business School, Monash University, Caulfield East, VIC 3145, Australia.
Hypertension patients prefer less invasive, faster, and cheaper primary aldosteronism (PA) subtyping methods. Accuracy is key, but cost and waiting time significantly influence choices for diagnosing unilateral vs. bilateral PA.
Area of Science:
- Endocrinology
- Cardiovascular Medicine
- Health Economics
Background:
- Primary aldosteronism (PA) affects 10-15% of hypertensive individuals, increasing cardiovascular risk.
- Accurate differentiation between unilateral and bilateral PA is crucial for optimal treatment, often necessitating adrenal vein sampling (AVS).
- Emerging subtyping strategies include predictive algorithms and nuclear imaging, offering potential alternatives to AVS.
Purpose of the Study:
- To investigate the preferences of hypertensive individuals regarding different primary aldosteronism (PA) subtyping strategies.
- To understand patient priorities concerning test accuracy, waiting time, adverse effects, and out-of-pocket costs for PA diagnosis.
Main Methods:
- Two discrete choice experiments (DCEs) were employed to assess preferences for PA subtyping methods.
- Latent class conditional logit (LCL) modeling was used to segment participants based on preferences.
- Policy simulation analyses examined how age, sex, and income influence subtyping uptake.
Main Results:
- 85% of 583 hypertensive Australian adults were willing to undergo PA subtyping.
- Participants prioritized accuracy, followed by shorter waiting times, minimal adverse effects, and lower costs.
- Algorithm-based methods showed the highest initial uptake (~54%), increasing to 68% when cost was considered.
Conclusions:
- Patient preferences for PA subtyping are significantly influenced by cost, invasiveness, and waiting time.
- Less-invasive, faster, and low-cost methods are favored, even with slightly lower accuracy than AVS.
- Further research should focus on optimizing algorithm accuracy and clinical implementation of preferred subtyping methods.
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