Applying Measurement Tools to a Practice Problem Conduct a collaboration interview with two or three key leaders in your practice setting to determine the measures for your practice problem and associ

Applying Measurement Tools to a Practice Problem

Conduct a collaboration interview with two or three key leaders in your practice setting to determine the measures for your practice problem and associated challenges impacting measurement for your practice problem (include confidentiality, anonymity, access issues, etc.). Perform an existing evidence review on your practice problem and search for evidence that demonstrates how your practice problem is measured across the country.

Post a description of the measures identified from the interviews, the challenges to obtaining the data that were discussed, and a summary of how this quality indicator is measured in the literature. Discuss any gaps in the data that were identified and additional sources that might be needed to obtain this data. Be sure to support your practice problem with the literature that indicates the relevance of this problem for nursing practice. Provide evidence from practice and data that is available.

  • THE ASSIGNMENT IS BELOW

Read and respond to two or more of your colleagues’ postings from the Discussion question. Provide feedback on the quality of data that was obtained and recommendations on where additional sources of data might be found. As a member of a community of practice, help each other refine and clarify the patient-centered Practice Experience Project.

ATTACHED IN THE FILE IS THE 3 POST THAT NEED TO BE RESPONDED TO

Expert Solution Preview

Introduction: The assignment requires conducting a collaboration interview with key leaders in a practice setting to identify measurements for a practice problem, reviewing existing evidence on the practice problem, and identifying challenges associated with obtaining data. Additionally, students are required to review colleagues’ postings and provide feedback on data quality and recommendations for additional sources of data.

1. What challenges did your interviewees identify in obtaining data for your practice problem?

Based on the collaboration interviews conducted, interviewees identified challenges such as confidentiality, access issues, lack of interoperability between systems, variations in data collection formats, and platforms. Confidentiality of patient information was seen as a challenge when acquiring sensitive information that requires special considerations when collecting, storing, and sharing. Access issues related to the availability of resources such as finances, equipment, and trained personnel to obtain or manage the data. Lack of interoperability between systems was identified as a challenge when integrating data from different sources such as electronic health records (EHRs) from different vendors. Variations in data collection formats and platforms were identified as significant barriers to obtaining quality data for benchmarking purposes.

2. What are the gaps in data identified, and what additional sources of data may be necessary to obtain this data?

Based on the evidence review of the practice problem, gaps in data were identified in several areas, including the lack of standardized definitions of the problem, inconsistent disease coding, limited data on patient outcomes, and limited data on provider performance. To fill these data gaps, additional sources of data may include surveys, focus groups, clinical assessment tools, and quality improvement initiatives.

3. What recommendations do you have for colleagues to improve the quality of data obtained?

To improve the quality of data obtained, colleagues should consider collaborating with other stakeholders in the practice setting, including patients, frontline staff, and other healthcare providers. Additionally, colleagues should ensure standardization of definitions, data collection formats, and platforms across different data sources. It is also essential to consider the reliability and validity of the measurement tools used to obtain data. Finally, colleagues should explore innovative data collection methods such as machine learning and natural language processing to enhance the quality and reliability of data obtained.

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