Applying measurement tools | Nursing homework help

  

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One example of a measurement tool is the Healthcare Effectiveness Data and Information Set (HEDIS) comprehensive care measures. Review the components of HEDIS comprehensive diabetes care; then consider the following scenario.

You are a staff nurse working in a private primary care practice. It is a small practice with 2 MDs (internists), 2 nurses, 1 medical assistant, and an office staff for billing. There are approximately 1,000 patients in the practice. You have had no EHR until the last year, but all charts are manual, historically. Your physicians are starting to inquire about quality incentives, particularly regarding patients with diabetes. 

Take on the role of the staff nurse in the scenario, and post an explanation of how you would go about finding out how many diabetics are in your practice and how many meet all components of HEDIS comprehensive diabetes care.

Support your response with references from the professional nursing literature. Your posts need to be written at the capstone level (see checklist).

Notes Initial Post: This should be a 5-paragraph (at least 550 words) response. Be sure to use evidence from the readings and include in-text citations. Utilize essay-level writing practice and skills, including the use of transitional material and organizational frames. Avoid quotes; paraphrase to incorporate evidence into your own writing. A reference list is required. Use the most current evidence (usually ≤ 5 years old).

Spath, P. (2018). Introduction to healthcare quality management (3rd ed.). Chicago, IL: Health Administration Press.

  • Chapter 3, “Measuring      Performance” (pp. 35-78)
  • Chapter 4, “Evaluating Performance” (pp.      79-118)

Yoder-Wise, P. S. (2019). Leading and managing in nursing (7th ed.). St. Louis, MO: Mosby.

  • Chapter 23, “Managing      Quality and Risk” (pp. 406-427)
  • Chapter 24, “Translating Research Into      Practice” (pp. 427-449)

Perla, R. J., Provost, L. P., & Murray, S. K. (2011). The run chart: A simple analytical tool for learning from variation in healthcare processes. BMJ Quality and Safety, 20(1), 46–51. 

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