Question

1. 3M has developed a composite measure, a 3M™ Value Index Score, which provides a standard metric to assess accountable value in health care. This index score is a composite measure based on six critical primary care domains derived from 16 measures of key processes and outcomes that effect value in health care. According to 3M, this Value Index Score can increase the understanding of provider and system performance thereby accelerating and prioritizing the areas where improvement is needed. This measure can be used by both providers and payers to help improve patient outcomes and to control costs. Suppose you were asked to develop a sampling plan for a study to determine the value of the index, usage rates of the index, and general attitudes toward the index, what sampling plan would you use? What is the target population (or are there multiple target populations)? What might you use for the frame(s)? Which of the four types of random sampling discussed in the chapter would you use and why? If you were to use stratified random sampling, what would be your strata?

Please provide a different answer than the previously asked question. Be sure to include all aspect of the question such as frames and target populations. Please type answer.

Answer 1

Answer:

• The most ideal approach to approach this issue is to go with either stratified or bunch testing.

• Among the two bunch sampling ought to be the marginally favored alternative

• Populace in human services is various in nature, and a wide range of classes regarding age gathering, body types and so on need social insurance administrations, in this way making a great deal of sub-gatherings.

• To counter this issue, stratified bunching should be possible, where in different sub-bunches taxi be clubbed together, in light of similitudes between them, to make a solitary sub-gathering.

• Such an action would make stratas and components for examining would then be able to be chosen arbitrarily chose from different stratas. This outcomes in stratified inspecting.

• My stratas for this situation would be founded on age gatherings, i.e., 20-30, 30-40....70-80. The objective populace would be individuals in the age gathering of 20-80 years.

• In the event of irregular testing, I would go for bunch examining. Bunch testing is near stratified inspecting with the exception of that it chooses few sub-bunches haphazardly (rather than utilizing all the sub-gatherings), and afterward study every one of the substances in those sub-gatherings.

• Such an action would guarantee, that there's no mistake at the lower level as I am studying every one of the elements in a sub-gathering.