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Running Head: PSYCHOLOGICAL INTERVENTION OF NURSES 1

PSYCHOLOGICAL INTERVENTION OF NURSES 5

Psychological Intervention of Nurses

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Date

1. It is clear that percutaneous coronary interference is connected to the rising risk of post-sequential distress and depression. On the other hand, it is not clear whether the intervention of nurses psychologically lowers uneasiness and depression and enhances the value of life after percutaneous coronary intervention. The gap that the study intends to fill is that related to care which should be provided to those in the rural areas.

The design used in this research is a randomized control trial; its setting is rural and remote areas in China. The purpose of the study is to determine whether the nurse-led psychological intervention has an impact on anxiety, depression, and quality of life through coronary intervention via the skin.

The sample size was eighty patients who are then divided into two halves where one would be the control group and the other one the intervention group. The method used on the control group was pre-procedure data from a nurse who educated them on the process of being hospitalized, percutaneous coronary interference, and post-sequential care. On the other hand, the intervention group received structured counseling for thirty minutes from nurse consultants qualified in psychological therapy and counseling a day before and twenty-four hours after coronary intervention. Follow-ups are done after three months.

The sample included participants who had been selected from a single medical Centre in rural and remote areas in China from January to December 2014. It is to say that the recruitment process was done for 12months. Inclusion criteria included those patients between the age of eighteen years and above. Exclusion criteria included those who are not able to provide an informed opinion in written form, those who are not able to involve themselves in continuous follow-ups at the hospital clinics (Patino & Ferreira, 2018). Patients with a history of psychological disorders or mental illness were also excluded. Those with a history of chronic diseases such as heart failure were also excluded. Participants were arranged randomly to ensure no difference statistically in age, sex, clinical data recorded on the baseline, and disease status between the two scores in terms of health.

2. The sampling method was simple random where participants are recruited from a single medical center by chance and this is a better way to reduce bias and prejudice in research and other studies (Plourde & Congalton, 2003). The inclusion criteria also reduced bias by ensuring anyone above the age of eighteen years is included in the sample and not patients of a particular age group only. The exclusion criteria also reduced bias in those patients who has a history of psychological or mental disorders is not included in the sample as they may not be in a stable mind to answer the questions asked to them by qualified counselors. Those with a history of chronic illness can give wrong opinions which would lead to bias

Characteristics of the sample was a good representative population as it was in line with both the inclusion and exclusion criteria. Being put into groups would save time when it comes to counseling sessions where it is done for thirty minutes for each group unlike when one individual is counseled after the other.

The sample size was reasonable as it would the researcher get more information on the influence of nurses on psychological anxiety and depression. The fact that it was dived into the control and intervention group would yield good results since they were counseled by different nurses. The sample size did not decrease but remained to be 20 females and 40 males who were actively involved in the research till the end. Even though the sample size did not decrease it would be best if the number of men was equal to that of women to ensure good results (Hernandez et al. 2006)

References

Hernandez, P. A., Graham, C. H., Master, L. L., & Albert, D. L. (2006). The effect of sample size and species characteristics on performance of different species distribution modeling methods. Ecography, 29(5), 773-785.

Patino, C. M., & Ferreira, J. C. (2018). Inclusion and exclusion criteria in research studies: definitions and why they matter. Jornal Brasileiro de Pneumologia, 44, 84-84.

Plourde, L., & Congalton, R. G. (2003). Sampling method and sample placement. Photogrammetric Engineering & Remote Sensing, 69(3), 289-297.