Reducing Catheter-Associated Urinary Tract Infection
The impact of Routine Screening in the Geriatric Hip Fracture Population. The geriatric hip fracture population are prone to complications during hospitalization. One of the common complications is the catheter associated urinary infections (CAUTIs). These complications always result in long time hospital stay and increase cost of care for both patients and institutions (Singh, et al., 2021). The study sample were stratified into two groups based on whether or not UTI is dragonized on admission. What are the goals and purposes of the research study that the article describes? The study was to determine the occurrence of positive UTI on admission among elderly hip fracture patients and whether routine screening for UTI or predisposing factors at presentation resulted in reduced rates of CAUTI and looked at a specific patient population with two important characteristics that deem them at substantial risk for UTI at admission or postadmission: age and fractured hip. How is linear or logistic regression used in the study? What are the results of its use? Data were collected on a study of geriatric hip fracture patients between January 2017 to December 2018. It was shown that there was a statistically significant increase in ICU length of stay in those patients with UTI on admission compared to patient without UTI (Centers for Disease Control and Prevention (CDC), 2021) What other quantitative and statistical methods could be used to address the research issue discussed in the article? For this article the other statistical Analysis used is the descriptive statistics which were used to summarize the demographic and clinical variables of the sampling. Mean, standard deviation, frequency, and percentages were calculated using continuous summary. What are the strengths and weaknesses of the study? One of the research weaknesses is that it does not have a control group, data are collected by analyzing medical records, which lends to systematic bias. The sample size is too small Then, explain potential remedies to address the weaknesses that you identified for the research article that you selected. Analyze the importance of this study to evidence-based practice, the nursing profession, or society. Be specific and provide examples. This article brings forward the need to adopt this common practice to reduce the likelihood of a CAUTI being attributed to institutions, given the high risk of infection/colonization in the geriatric population. Therefore, it is recommended that all elderly hip fracture patients be screened at admission with a UA and be treated appropriately (Singh, et al., 2021) References Baker, S., Shiner, D., Stupak, J., Cohen, V., & Stoner, A. (2022). Reduction of Catheter-Associated Urinary Tract Infections: A Multidisciplinary Approach to Driving Change. Critical Care Nursing Quarterly, 45(4), 290–299. Centers for Disease Control and Prevention. (2021). Urinary tract infections (UTI) events. Retrieved from https://www.cdc.gov/ nhsn/psc/uti/ Mangal, S., Carter, E., & Arcia, A. (2022). Developing an educational resource for parents on pediatric catheter-associated urinary tract infection (CAUTI) prevention. American Journal of Infection Control, 50(4), 400–408. Singh, S., Angus, L. D. G., Munnangi, S., Shaikh, D., Digiacomo, J. C., Angara, V. C., Brown, A., & Akadiri, T. (2021). Reducing Catheter-Associated Urinary Tract Infection: The Impact of Routine Screening in the Geriatric Hip Fracture Population. Journal of Trauma N 2ND POST The Relationship between Income and Morbidity—Longitudinal Findings from the German Ageing Survey. I was quite resonated with this research after going reading this article and after realizing its desire to expatiate more on the relationship between income and morbidity even though it focused more on longitudinal findings from German aging survey. Whether I was taken aback at their findings was a big thought process. It is often insinuated that higher income contributes to physical health. There are huge amount of research showing a strong significant association between income and health. it is a generally viewed concept that high income equates or rather paves way for a decrease in morbidity. The question to be answered is: What are the goals and purposes of the research study that the article describes? This study aims to examine the association between the income and morbidity of individuals over time. On the other hand, this article’s goals and purposes is to examine the association or relationship between income and morbidity of individuals mostly amongst the German status quo. How is linear or logistic regression used in the study? What are the results of its use? Data from a total of four waves (year 2008 to year 2017) of the nationally representative German ageing survey was analyzed by linear fixed-effects regressions. The used equivalized income was based on the respondents’ monthly net household income. To obtain a comprehensive picture of the dependent variable morbidity, self-reported diseases, current symptoms, and physician-diagnosed diseases were examined. The results depicts that the analyses showed no significant association between percentage changes in income and morbidity in the total sample. Even after considering selected socioeconomic groups in further subgroup analyses, there was no significant within-person association found over time. In a nutshell, the unexpected results of this study suggest that the previously assumed link between income and health may be called into question and because of this findings, further research based on longitudinal studies is, therefore, required. What other quantitative and statistical methods could be used to address the research issue discussed in the article. The methods used here is a sample data analysis study method from the German aging survey using the access provided by the German center of Gerontology. Hence, we are inferring Quantitative measure, the method utilized here is a structured interview which I believe is good enough method needed to address the research issues discussed in this article. What are the strengths and weaknesses of the study? In lieu of the strength of this study, it is one of the few studies that have examined the relationship between income changes and morbidity over time, and it is the first one to use data from a German panel survey to investigate this issue. A lot of studies use cross sectional data, this study utilized longitudinal data because this allowed the researchers to have control over any unobserved time-constant individual factors (both observed and unobserved), thus having greater explanatory power than with the use of cross-sectional data (Gunasekaran F.et al., 2012). Weaknesses: The weakness or rather the downside of this article is that the sample includes only community-dwelling persons but excludes individuals from nursing facilities. Explain potential remedies to address the weaknesses that you identified for the research article that you selected. Analyze the importance of this study to evidence-based practice, the nursing profession, or society. Be specific and provide examples. The potential remedies to address the weaknesses identified for this research study is to include collecting data from individuals in nursing facilities. Collecting data from the nurses will help in making this research study a complete one because nurses deal with these patients daily and will have much to contribute mostly in relational to patients’ morbidity issues. The importance of this evidence-based practice to the nursing profession, or even the society should not be overlooked. For instance, we have often insinuated that good income comes with good health, but this study is trying to refute that. This finding will reiterate our thoughts that the issue of morbidity, should be seen on the context of morbidity and not relational or equated to patient’s income or status quo. References: Gunasekara F.et al., (2012). The relationship between income and health using longitudinal data from New Zealand. J. Epidemiol. Community Health. 2012;66:e12. doi: 10.1136/jech.2010.125021. Huber J., Mielck A. (2010). Morbidity and healthcare differences between insured in the statutory (“GKV”) and private health insurance (“PKV”) in Germany. Review of empirical studies. Bundesgesundheitsblatt Gesundh. Gesundh. 2010;53:925–938. doi: 10.1007/s00103-010-1119-7. Reche, E, Kong, H, Hajek, A. (2021) The Relationship between Income and Morbidity—Longitudinal Findings from the German Aging Survey Int J Environ Res Public Health. 2021 Dec; 18(23): 12365. Published online 2021 Nov 24. doi: 10.3390/ijerph182312365 Reche, E (2012). Department of Health Economics and Health Services Research, University Medical Center Hamburg-Eppendorf, Martinistr. 52, 20246 Hamburg, Germany: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8656553/