Related Experiment Video
Updated: Jan 29, 2026

A Method for Screening and Validation of Resistant Mutations Against Kinase Inhibitors
Published on: December 7, 2014
Validating a method to assess disease burden from insurance claims
Thomas E Kottke1, Jason M Gallagher, Marcia Lowry
1HealthPartners, 8170 33rd Ave S, MS 21110X, Minneapolis, MN 55425.
Objectives:
To validate a method that estimates disease burden as disability-adjusted life-years (DALYs) from insurance claims and death records for the purpose of identifying the conditions that place the greatest burden of disease on an insured population.
Study Design:
Comparison of the DALYs generated from death records and insurance claims with functional status and health status reported by individuals who were insured with one of HealthPartners' commercial products and completed a health assessment in 2011, 2012, or 2013.
Methods:
We calculated values of Spearman's ρ, the rank-order coefficient of correlation, for the correlation of DALYs with self-reported function and self-reported health. We did the same for the number of medical conditions per member and the cost of claims per member.
Results:
The Spearman's ρ values for the correlation of DALYs with function were -0.241, -0.238, and -0.229 in 2011, 2012, and 2013, respectively (all P <.0001). The respective Spearman's ρ values for the correlation of DALYs with health were -0.197, -0.189, and -0.192 (all P <.0001). These Spearman's ρ values were similar in magnitude to those for the correlation of the number of medical conditions per member with function (-0.212, -0.213, and -0.205) and health (-0.199, -0.196, and -0.198) over the 3 years. The Spearman's ρ values for the correlation of DALYs with function and health were greater than or equal to those for the correlation of cost of claims per member with function (-0.144, -0.193, and -0.186) and greater than those for the cost of claims per member with health (-0.126, -0.150, and -0.151).
Conclusions:
Health plans can use DALYs calculated from their own health insurance claims and death records as a valid and inexpensive method to identify the conditions that place the greatest burden of poor function and ill health on their insured populations.
Related Concept Videos
Testing a Claim about Mean: Known Population SD
Estimating a population mean requires the samples to be distributed normally. The data should be collected from the randomly selected samples having no sampling bias. The sample size needed to be higher than 30, and most importantly, the population standard deviation should be already known.
In most realistic situations, the population standard deviation is often unknown, but in rare circumstances, when it...
Reliability and Validity
Testing a Claim about Population Proportion
There are two methods of testing a claim about a population proportion: (1) Using the sample proportion from the data where a binomial distribution is approximated to the normal distribution and (2) Using the binomial probabilities calculated from the data.
The first method uses normal distribution as an approximation to the binomial distribution. The requirements are as follows: sample size is large...
Testing a Claim about Standard Deviation
The hypothesis testing for the claim of population standard deviation (or variance) requires the data and samples to be random and unbiased. The population distribution also must be normal. There is no specific requirement on the sample size as the estimation is based on the chi-square distribution.
As a first step, the hypothesis (null and alternative) concerning the claim about...
Testing a Claim about Mean: Unknown Population SD
Estimating a population mean requires the samples to be approximately normally distributed. The data should be collected from the randomly selected samples having no sampling bias. There is no specific requirement for sample size. But if the sample size is less than 30, and we don't know the population standard deviation, a different approach is used;...
Data Validation
Key parameters for method validation include:

