Assignment: Climate Change on Marine Biodiversity Evaluation of Research Ethics Speech Paper

Assignment: Climate Change on Marine Biodiversity Evaluation of Research Ethics Speech Paper

Assignment Climate Change on Marine Biodiversity Evaluation of Research Ethics Speech Paper

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Article Analysis 1

Article Citation and Permalink (APA format) Article 1

Lai, Y. F., Lim, Y. W., Kuan, W. S., Goh, J., Soong, J. T. Y., Shorey, S., & Ko, S. Q. (2021). Asian Attitudes and Perceptions Toward Hospital-At-Home: A Cross-Sectional Study. Frontiers in public health, 1013. https://doi.org/10.3389/fpubh.2021.704465

Article 2

Le, N., Rahman, T., Kapralik, J. L., Ibrahim, Q., Lear, S. A., & Van Spall, H. G. (2022). The Hospital at Home Model vs Routine Hospitalization for Acute Heart Failure: A Survey of Patients’ Preferences. CJC open4(3), 263-270. https://doi.org/10.1016/j.cjco.2021.10.005

Article 3

Arsenault-Lapierre, G., Henein, M., Gaid, D., Le Berre, M., Gore, G., & Vedel, I. (2021). Hospital-at-home interventions vs in-hospital stay for patients with chronic disease who present to the emergency department: a systematic review and meta-analysis. JAMA network open4(6), e2111568-e2111568. doi:10.1001/jamanetworkopen.2021.11568

Point Description Description Description
Broad Topic Area/Title The article focuses on a cross-sectional study aiming to explore the attitudes and perceptions among patients and patients on HaH in Singapore. This study proposes a hypothetical context through exploiting HaH in addressing various fundamental questions, such as what would happen when compared to the current state of HaH remains unutilized, as seen in Asia. Besides, the authors also dwell on the question of the ways that cited HaH reduces healthcare costs, increases patient satisfaction, and improves clinical outcomes. The increased patient satisfaction also signifies the effective approach to HaH that gives all patients with chronic illness to focus on education and integrated healthcare that meets healthcare. This article provides more information on the impact of HaH on reducing the cost of healthcare and allowing for the culture of many people in Asia. Authored by Le et al. (2022), this article examines the preference of heart failure patients to accept the HaH program compared to the recurrent hospitalizations. The study focused on safety, perceived effectiveness, convenience, and ability to accept the HaH model. The choice of the model is affected by the cost and better health outcomes that heart failure patients get from the HaH program. HaH programs are also linked to better services that increase nurse confidence in safety. The errors in hospitals might be easy to identify because they can turn into a death trap or an injury menace to patients who are constantly hospitalized. HaH enhances the ability of the patients to receive the desired care. Therefore, the objective of this article is to highlight more the significance of HaH on patients with heart failure. This source is valid and reliable besides adequately addressing the research on HaH. This study focused on examining how HaH interventions are associated with better patient outcome for an adult suffering from chronic disease who presents an emergency at the department. The authors examine the cost of examinations and their increased risk in creating an adverse event that might lead to complications or severe death. Consequently, the study comes with HaH as an option having a positive impact on these patients in terms of reducing hospitalization costs and adverse effects that come from hospitalizations. The study further alludes that HaH is cost-effective because it allows caregivers to have a positive perception of care, and the patients on the other end would receive improved care. Employing HaH offers better care services that reduce the cost of healthcare. This source is valid and reliable besides adequately addressing the research on HaH.
Identify Independent and Dependent Variables and Type of Data for the Variables In this study, Hospital-at-Home (HaH) was the dependent variable, while the perception of caregivers and patients remained the dependent variable in the study. The dependent variable in this study was the acceptability of HaH model patients diagnosed with heart failure. Independent variables included perceived effectiveness, convenience, and safety of the HF patients. The dependent variable in this study is HaH interventions, while the independent variables reduced the risk of readmission and reduced the risk of long-term care admission.
Population of Interest for the Study 101 patients participated in the study, and 19 caregivers responded on behalf of other patients. 269 patients participated in the survey by completing the provided questionnaire. The study included 9 randomized trials that included 959 adult patients with chronic diseases.
Sample 158 patients were eligible. 297 are eligible for the study. 959 patients
Sampling Method The cross-sectional quantitative study was used. The cross-sectional quantitative study was used. RCTs
Descriptive Statistics (Mean, Median, Mode; Standard Deviation)

Identify examples of descriptive statistics in the article.

The mean age of the patients included in the study was 53.9 years. 87 patients representing 72.5% expressed acceptance towards HaH model care. Conversely, 28.7% and 44.6% indicated their willingness to joining in HaH program. The mean age was 76.2 with and SD of 12.3 years. 48.3% were females and 70.5% resided in their own homes with a relative caregiver of 67.9%. Out of the considered sample 211 (78.5%) found HaH as acceptable with 169 (62.8%) preferring HaH over routine hospitalization. The study found that the mean length of treatment for the hospitalized patients were 5.4 days. This implies that all the patients with chronic conditions spent not less than fives days in hospital. Besides, 26% of the patients had lower risk of readmission and long-term care. The median age was 71.0 years with an interquartile range of 70.0-79.9. 63.1% of the male and 36.1% of the females participated in the study.
Inferential Statistics

Identify examples of inferential statistics in the article.

Multivariate logistic regression was used to determine if there were any factors influencing the program acceptance. The study did not find any statistical significance between dependent variables of HaH acceptance and common economic determinants. Household income was significantly inclined to the acceptance of the program. (P=0.004) Perceive convenience has a p-value of 0.57 at level of significance of p<0.001. Safety had a p-value of 0.37. All these two were significantly related to HaH acceptability. However, perceived effectiveness was not significant at a p-value of 0.14 and level of significance of p=0.021. Education level was highly associated with HaH acceptability. The hospital at home group showed a reduced risk of long-term care admission that the in-hospital care group (RR, 0.16; 95% CI, 0.03-0.74; I2 = 0%). Besides, the patients who went through HaH program showed lower depression and anxiety compared to those who remained in the hospital. However, there was no difference in the functional status.

 

References

Arsenault-Lapierre, G., Henein, M., Gaid, D., Le Berre, M., Gore, G., & Vedel, I. (2021). Hospital-at-home interventions vs in-hospital stay for patients with chronic disease who present to the emergency department: a systematic review and meta-analysis. JAMA network open4(6), e2111568-e2111568. doi:10.1001/jamanetworkopen.2021.11568

Lai, Y. F., Lim, Y. W., Kuan, W. S., Goh, J., Soong, J. T. Y., Shorey, S., & Ko, S. Q. (2021). Asian Attitudes and Perceptions Toward Hospital-At-Home: A Cross-Sectional Study. Frontiers in public health, 1013. https://doi.org/10.3389/fpubh.2021.704465

Le, N., Rahman, T., Kapralik, J. L., Ibrahim, Q., Lear, S. A., & Van Spall, H. G. (2022). The Hospital at Home Model vs Routine Hospitalization for Acute Heart Failure: A Survey of Patients’ Preferences. CJC open4(3), 263-270. https://doi.org/10.1016/j.cjco.2021.10.005

Topic 4 DQ 2

Describe the difference between research and quality improvement. Provide a workplace example where qualitative and quantitative research is applied and how it was used within your organization. When replying to peers, discuss how these research findings might be incorporated into another health care setting.

REPLY TO DISCUSSION

Read

While research leads to Quality Improvements (QI), the purpose of performing analysis is to find new knowledge about the effect of a medicine, treatment, or procedure. (Helbig 2018) QI then is developed a plan and initiating into a program. The reason for QI is to provide cost-efficient and better care to our clients. QI is data-driven and usually done to improve the quality of care provided to patients(Helbig, 2018)

Six Sigma is a way to streamline the process to increase favorable outcomes. This has two main focuses. The first focus is the waste reduction in the process that increases processing times.

The second focus is on the elimination of defects or risk reduction.

My ER housed our blood culture bottles in our locked pharmacy room behind the nurses’ station. IV supplies are housed in carts

Assignment Climate Change on Marine Biodiversity Evaluation of Research Ethics Speech Paper
Assignment Climate Change on Marine Biodiversity Evaluation of Research Ethics Speech Paper

throughout the department. When the nurse or tech plans to start an IV and obtain diagnostic lab draws, all collections are housed on the coaches. If the provider requested to have blood culture samples removed, the person had to walk across the unit to access the locked pharmacy room and pick up the blood culture bottles. This added extra time and a delay in obtaining the time-sensitive lab draw. I timed myself through the day and realized I was wasting 5 minutes per blood culture dray per person. I then multiply this by four staff members and the total times an average of 15 patients in a 12-hour shift for one day. The entire time wasted was 400 minutes for one day shift in our ER.

I brought this to our Clinical Manager and showed her the rough data collected and the impact of time that could be spent better well served. She evaluated the data and then moved the culture bottles to the IV start cart to decrease this time. The additional time is better spent at the bedside caring for our patients.

References

Helbig, J. (2018). Applied Statistics for Health Care. Grand Canyon University. https://lc.gcumedia.com/hlt362v/applied-statistics-for-health-care/v1.1/#/chapter/4

Unread

Irene,

Your “The first focus is the waste reduction in the process that increases processing times” and “The second focus is on the elimination of defects or risk reduction” examples were remarkable.

An example of the use of quantitative study in that is health-related is an investigation to determine the educational and psychological effects of of the pandemic on US medical students and their reactions to the AAMC recommendation to pause medical students clinical rotations with in-person patient care. The authors sent a cross-sectional survey via email to medical students in their clinical training years at six clinical schools during the initial peak phase of the COVID-19’s impact on medical education; ethical obligations during a pandemic; infection risk; anxiety and burnout; willingness and needed preparations to return to clinical rotations.

Reference

 

Stokes, D., (2020). Senior medical students in COVID-19 response: an opportunity to be proactive. Acad Emerg Med. 2020;27(4):343-5.