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Extraneous Variables
In addition to the main variables, including the readmission level of people with congestive heart failure (CHF) and patient well-being, some extraneous criteria may also be taken into account. In particular, the degree of exercise as one of the components of the intervention can be considered. According to Fukuta, Goto, Wakami, and Ohte (2016), patients with this ailment are often elderly and their primary chronic symptom is severe exercise intolerance that results in a reduced quality of life (p. 79). The control of this variable may be carried out by assessing the physical abilities of the target group and by observations carried out by researchers.
Another variable that deserves attention is the number of medications taken. As Bayati et al. (2014) note, the danger of drug abuse is a significant problem when it comes to potent remedies used in the course of enhanced therapy. Therefore, it is required to take into account this criterion and to consider the cases of drug abuse as one of the factors complicating the healing process.
Instruments
As tools for intervention, educational programs will be used. In particular, these are training courses aimed at improving the literacy of patients with CHF regarding the hazards of the disease and its attendant complications. The validity of such a program is the importance of exercising. In order to prove the relevance of this approach, the literature review of relevant academic sources can be performed. For instance, Fukuta et al. (2016) argue that training frequency is the component of work that reduces the likelihood of developing heart attacks and other problems. Therefore, a literature review may be a valuable instrument for determining the validity of the approach under consideration.
The reliability of such a method can be justified by supporting statistical data on the benefits of interventions aimed at educating patients and stimulating their physical activity. For this purpose, it is required to study academic sources and highlight results that prove the relevance of such a principle. Positive feedback will help to assess the reliability of this approach and put it into practice.
Description of the Intervention
The planned intervention will be based on studying the health information of patients with CHF included in the target group and analyzing their parameters based on the training provided. The aforementioned variables will be used as criteria for evaluating working efficiency. According to the collected data, statistical reports will be compiled, including information on the level of patient readmission and the impact of these procedures on their health status.
Potential limitations will be considered, for example, the possibility of interventions for patients of different ages. The obtained data can be displayed both in a narrative form and in tables for the convenience of the perception of the calculations.
Data Collection Procedures
The process of data collection may take place in different conditions, and researchers can interview the target group of participants both at medical facilities and at home. Also, in case of emergency, conversations can be carried out via telephones. A list of questions should be prepared before the full group of research members is assembled. The whole process will take about two weeks, which will be required to get acquainted with the list of participants and their problems and conduct surveys. Based on the data obtained, statistical tables can be compiled with relevant information.
References
Bayati, M., Braverman, M., Gillam, M., Mack, K. M., Ruiz, G., Smith, M. S., & Horvitz, E. (2014). Data-driven decisions for reducing readmissions for heart failure: General methodology and case study. PloS One, 9(10), e109264. Web.
Fukuta, H., Goto, T., Wakami, K., & Ohte, N. (2016). Effects of drug and exercise intervention on functional capacity and quality of life in heart failure with preserved ejection fraction: A meta-analysis of randomized controlled trials. European Journal of Preventive Cardiology, 23(1), 78-85. Web.
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