Sample Answer for NUR 630 Topic 6 DQ 2 Included After Question
NUR 630 Topic 6 DQ 2
Describe at least two limitations to both primary and secondary data and how understanding those limitations can improve your future CQI work.
A Sample Answer For the Assignment: NUR 630 Topic 6 DQ 2
Title: NUR 630 Topic 6 DQ 2
ANGELA
Continuous quality improvement (CQI) is essential to navigate the many changes and challenges in today’s complex health care environment. Although the goal is to ensure the data collected is reliable and accurate, potential limitations exist. For example, in primary data collection Johnson & Sollecito (2018, p. 195) indicated non-sampling errors can arise. Non-sampling errors occur in the data collection process as a result of other issues not related to the sample and is usually seen in health care surveys (Johnson & Sollecito, 2018, p. 195). As Johnson & Sollecito (2018, p. 195) highlighted, this can be problematic due to bias and under-representation of the selected sample.
Because data is acquired from other sources, secondary data collection also has its challenges such as biases and incomplete data (Cole & Trinh, 2017). Therefore, a thorough evaluation is needed to get a broader view of the data. Before initiating a CPI project, it is important to recognize these potential limitations exist.
References
Cole, A. P., & Trinh, Q. (2017). Secondary data analysis. Current Opinion in Urology, 27(4), 354-359. https://doi.org/10.1097/mou.0000000000000407
Johnson, J. K., & Sollecito, W. A. (2018). McLaughlin & Kaluzny’s continuous quality improvement in health care. Jones & Bartlett Learning.
CARIN
Continuous quality improvement (CQI) in healthcare is necessary to ensure that patients are receiving the safest, evidence-based care. As a nursing leader, it is important to be able to conduct and lead research to advance this care. Part of the research includes being versed on both primary and secondary data collection methods and also understand the limitations that may come with each. Some examples of limitations with primary data include a significant time commitment, expense to complete data collection, and the process can be very involved (Benedictine University, 2022). Additionally, Johnson & Sollecito (2020) share that non-response to surveys can result in under-representation of certain sectors of the population data. Secondary data limitations would include: the data being utilized was collected in the past, it may or may not be free of bias, and data that was collected may or may not be exactly the data needed to address the research question (Benedictine University, 2022). Another limitation could be the access to such large quantities of data/information and ensuring that the source is credible prior to putting research into action (Johnson & Sollecito, 2020). Having a knowledge of existing limitations to conducting primary and secondary data collection will allow for strategies to address possible constraints prior to initiation. To effectively advance CQI it will be necessary for researchers to realize which data methodology is appropriate for the research being conducted and account for limitations that could impact quality results.
References
Benedictine University. (2022). Public health research guide: Primary and secondary data definitions. https://researchguides.ben.edu/c.php?g=282050&p=4036581
Johnson, J. K. & Sollecito, W. A. (2020). McLaughlin and Kaluzny’s Continuous Quality Improvement in Health Care (5th edition). Jones & Bartlett Learning.
DEANNA
As we discussed in our last DQ Primary and Secondary data have differing aspects, yet both carry a role in the CQI process. Both primary and secondary data have strengths and weaknesses.
Primary data carries limitations in the fact it is has limitations to the aspect of the narrowed focus of the data being specific to the process it is desired to focus on. This aspect carries an increased cost, limited abilities to gather the data, and limited sample size (Johnson & Sollecito, 2020). Another aspect that can be limiting with primary data is the error of non-sampling data creating a limited sample size by lack of response from subjects. At times primary date can become judgmental or biased if not captured well.
Secondary data is not free from its limitations as well, due to the broadness of the ways of collecting secondary data the ability to ensure the quality of data is limited (Weinclaw,2021). The Broadness of how secondary data is obtained can lead to data being skewed as the data collection may not be pure. Secondary data lacks the ability to control the data and can lead to data that is uncontrollable (Weinclaw, 2021).
Understanding the limitations of data enables one during a CQI process to be prepared for such limitations and block them or understand how to work with them. Limitations exist yet when they can be identified and labeled utilizing the best tool, analysis and preparedness can surpass the limitations (Weinclaw, 2021)
Johnson, J. K., & Sollecito, W. A. (2020). Continuous quality improvement in health care (5th ed.) [e-book]. Jones &Bartlett Learning .
Wienclaw, R. A. (2021). Analysis of Secondary Data. Salem Press Encyclopedia.
