Theoretical Model Framework

Theoretical Model Framework

PICOT ; What is the rate of success of the LACE index tool on predicting 30 day hospital readmissions on inpatient > 65 diagnosed with HF, Heart Attack, COPD, Pneumonia, CAB?			

Select the specific theoretical framework that you will use with your project (education). Describe how the theory that you chose aligns with your capstone project. Include the following information:

Describe the key features of the selected theoretical framework/model. What are its major components?

Identify specific research approaches appropriate for use with the theoretical model or framework and how it fits with your intended project.
Does the model lend itself to quantitative or qualitative methods or both?
What kind of quantitative/qualitative methods would be most appropriate? (record review, survey, etc.)
Describe how the theoretical framework might be used to evaluate the program/project and critique how well the model fits the program or project.
What aspects of the model works well and what aspects do not?
Why?
Expectations

Due: Monday, 11:59 pm PT
Length: 2-3 pages  not including references
Citations: Scholarly reference(s) from within the last 5 years.
Format: APA 7th ed.
Use the title “Theoretical Model Framework.”

 





References

 Centrella-Nigro, A. (2016). The Readmitted Patient with Heart Failure. MEDSURG Nursing, 25(3), 163–167.
	
Damery, S., & Combes, G. (2017). Evaluating the predictive strength of the LACE index in identifying patients at high risk of hospital        	readmission following an inpatient episode: a retrospective cohort study. BMJ open, 7(7), e016921. doi:10.1136/bmjopen-2017-016921

	
Delaney, K. A. (2014). Using the LACE index to predict hospital readmissions in congestive heart failure patients. BMC cardiovascular     	disorders, 14, 97. doi:10.1186/1471-2261-14-97

	

Robinson, R., & Hudali, T. (2017). The HOSPITAL score and LACE index as predictors of 30 day readmission in a retrospective study 	at 	a university-affiliated community hospital. PeerJ, 5, e3137. doi:10.7717/peerj.3137 Wang, H., Robinson, R. D., Johnson, C., Zenarosa, 	N. R., Jayswal, R. D., Keithley, J.
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