Surveys such as the Consumer Assessment of Healthcare Providers and Systems (CAHPS) are based on sound research principles such as with randomized sampling, high response rates, and other systems to reduce bias. What are some of the types of bias, and how might bias distort data reporting? In your own words, please post a response to the Discussion Board, and comment on other postings. You will be graded on the quality of your postings. For assistance with your assignment, please use your text, Web resources, and all course materials.

Surveys such as the Consumer Assessment of Healthcare Providers and Systems (CAHPS) are based on sound research principles such as with randomized sampling, high response rates, and other systems to reduce bias. What are some of the types of bias, and how might bias distort data reporting? In your own words, please post a response to the Discussion Board, and comment on other postings. You will be graded on the quality of your postings. For assistance with your assignment, please use your text, Web resources, and all course materials.

Some of the types of bias that are concerning the Consumer Assessment of Healthcare Providers and Systems (CAHPS) include low response rates and outcome reporting biases. Low response rates impacts on the validity and reliability of the study and would make the findings of the survey not apply to the entire study population.

The outcome reporting biases would also be misleading to the stakeholders of a medical facility, especially where favorable outcomes of the survey to the facility are published. The biases also have the capability of distorting data reporting. Publication bias is likely to take place. The studies that tend to have favorable reporting would have higher chances of being published by the institution while those with negative findings would take a relatively longer duration to be released.

As a response to the feedback on the discussion board, there it is indeed accurate to state that biases would often interfere with the validity and reliability of any given study. The time lag bias is often evident when medical facilities would not want to publish the results of the consumer assessment surveys on the account that they do not provide the results that are wanted by the facility. Such could lead to the presentation of information to the target clients of the facility that would be misleading, thus, neither valid for reliable for utilization when examining the market share of the facility.

References

Drury, M., & Whalen, M. (2018). Managed care: practice and progress. CRC Press.

Graban, M. (2016). Lean hospitals: improving quality, patient safety, and employee engagement. Productivity Press.

Launer, J. (2017). Narrative-based primary care: a practical guide. CRC Press.

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