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Related Experiment Video

Updated: May 24, 2026

Inverse Probability of Treatment Weighting (Propensity Score) using the Military Health System Data Repository and National Death Index

Inverse Probability of Treatment Weighting (Propensity Score) using the Military Health System Data Repository and National Death Index

Published on: January 8, 2020

Balancing cost and precision in hospital accountability sampling.

Rocco J Perla¹, Bradford D Allen

¹Center for Innovation and Transformational Change, UMass Memorial Medical Center, USA. Rocco.Perla2@umassmemorial.org

Journal for Healthcare Quality : Official Publication of the National Association for Healthcare Quality

|March 15, 2012

Summary

Balancing sample size and cost is crucial for hospital accountability measures. Evaluating the marginal benefit against the cost of larger samples ensures efficiency and avoids wasted resources.

Related Experiment Videos

Last Updated: May 24, 2026

Inverse Probability of Treatment Weighting (Propensity Score) using the Military Health System Data Repository and National Death Index

Inverse Probability of Treatment Weighting (Propensity Score) using the Military Health System Data Repository and National Death Index

Published on: January 8, 2020

Area of Science:

Health Services Research
Healthcare Management
Biostatistics

Background:

Hospital accountability measures rely on data collection, often involving sampling.
The cost-effectiveness of different sample sizes in healthcare settings is not always fully considered.
Optimizing data collection strategies is essential for efficient healthcare management.

Purpose of the Study:

To analyze the relationship between sample size and associated costs within hospital accountability initiatives.
To introduce a benefit-to-cost ratio framework for evaluating sample size decisions in healthcare.
To highlight the importance of cost-benefit analysis in optimizing sampling strategies for accountability.

Main Methods:

Review of cost-benefit principles applied to sampling in healthcare.
Conceptual framework development for assessing marginal benefits of increased sample sizes.
Analysis of efficiency gains through balanced cost-sampling schemes.

Main Results:

Larger sample sizes in hospital accountability measures incur significant costs.
A benefit-to-cost ratio is a viable tool for sample size determination.
Failure to balance sampling costs and benefits leads to inefficiencies.

Conclusions:

Decisions regarding sample size must incorporate a thorough assessment of marginal benefits versus costs.
Implementing cost limits and recognizing the expenses of various sampling techniques are vital for efficiency.
Optimizing sample size selection enhances the cost-effectiveness of hospital accountability measures.