Purpose: Summarize and appraise an article for bias and validity in a collaborative environment.
Were the results statistically significant, if reported?
What is the clinical significance of the findings?
What are the risks vs. benefits to practice of the findings?
Are the findings feasible to implement?
Running head: BOWEL FUNCTION 1
BOWEL FUNCTION 5
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Student Name:
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Question 1
What is known about the topic is that Spinal cord injury is linked not only with motor and neural deficiencies but also with visceral moto system disablements. This constitutes endangered cardiovascular, respiratory, urinary, gastrointestinal, thermoregulatory and genitive liveliness. Traditional nursing methods for these patients centred on primary care but did not have a satisfactory realization of the condition austerity and personal preferences. With a thorough assessment of the patient’s signs, laboratory and ultrasound reports, a quantitative evaluation-centred nursing approach can distinguish the various critical care requirements and implement personalized treating arbitration to lessen difficulties and improve the disease’s recovery. The research tries to understand the impact of quantitative evaluation-centered nursing mediation on the bowel function and life status of patients having neurogenic bowel dysfunction after spinal cord injury. For the research study, patients were unevenly grouped into observation category (n = 92) and control category (n = 92) through a random digit index. The control group patients were assigned routine nurses, and those in the observation category were provided quantitative assessment-based nursing intervention. Rehabilitation of bowel function, state of life and fulfilment were correlated between the two assortments.
The participants’ sample was patients, including one-hundred and thirteen men and seventy-one women, ranging from the age of 35 to 70 years. Of the total sample, there were three different categories; 73 the first category comprised of total damage and had 73 incidents, the second category comprised of lumbosacral damage with 58 cases, the third group consisted of cervical spinal cord injury and had 40 cases, and the last category thoracic spinal cord injury with 13 cases. The sex, years and nature of spinal cord injury were not notably distinct between the observation and control groups. The follow up was close, and the patients were assigned nurses for monitoring. The control category patients were assigned customary nurses for disease medical learning, psychical care, controlling patients to have more fresh greens, fruits, and special dietary fibre meals. For responses from the sample population, home-made questionnaires were used to ascertain the content of the patients. The questionnaires contained three categories: contentment, overall contentment and non-contented. The contentment percentage shows the portion of patients with overall satisfaction (Zhang et al., 2018).
Question 2
Was the sampling method and inclusion/exclusion criteria adequate to reduce sampling bias? My response is yes. The study applied a fair sampling method as the sample population was allotted at random into the observation group (n = 92) and control group (n = 92), employing a random digit index. Besides, the sample included both female and male. There were 113 females and 71 men. There is a slight difference between the two sizes. If the sampling method was biased, there could be a big difference between the number of women and men who participated in the study.
Do the sample characteristics representative of the target population? Yes, sample characteristics accurately represent the target population. The study targets a population of patients with neurogenic bowel disability following spinal cord damage. The sample population comprises patients with total impairment, lumbosacral fracture, cervical spinal cord damage, and thoracic spinal cord injury courses. Was the sample size adequate? I would say that the sample size was not sufficient. Given that SCI is not a condition that can be easily managed and assessed, the study needed to increase its representation number to effectively desegregate the quantitative evaluation into the treating arbitration procedures since quantitative assessment encompasses patients’ both physical and psychical features. Therefore, studying only one-hundred and eighty-four patients out of the millions suffering from this condition may not accurate results as expected (Taherdoost, 2016). Was there a decrease in sample size? There is no any sample decrease evident in the study. All the patients who began the test all completed it successfully.
How would you rate the sampling procedures’ quality and confidence in drawing inferences to the target population? On a scale of 1 to 10, I would give the sampling procedures a 6 out of 10. When sampling the population for health care studies, I believe the larger the sample, the more accurate the results, especially given that the sample was chosen randomly. Involving a small size of sample could not provide accurate results as expected. Moreover, the study design was not sufficient enough; There were 73 incidents of total damage, 58 samples of lumbosacral fracture, 40 instances of cervical spinal cord damage and 13 samples of thoracic spinal cord damage. As we can see, the numbers under each group differ significantly. I wish the study would have based on equal numbers under each category or a slight difference of not more than ten (HealthKnowledge, 2018).
References
Zhang, Y., Xia, X., & Zhuang X. (2018). Effect of quantitative assessment-based nursing intervention on the bowel function and life quality of patients with neurogenic bowel dysfunction after spinal cord injury. Journal of Clinical Nursing, 27: e1146–e1151.
https://doi.org/10.1111/jocn.14198
HealthKnowledge. (2018). Methods of sampling from a population. Retrieved from
https://www.healthknowledge.org.uk/public-health-textbook/research-methods/1a-epidemiology/methods-of-sampling-population
Taherdoost, Hamed. (2016). Sampling Methods in Research Methodology; How to Choose a Sampling Technique for Research. International Journal of Academic Research in Management. 5, 18-27. 10.2139/ssrn.3205035.
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