discussion replies

Finance class: respond to the four colleagues by offering supporting ideas you believe they should address, alternative solutions to the issue, or specific financial, budgetary, or other challenges you believe their approach should address. Please include at least 2 references each

Yolanda:

Budgeting and Variance Analysis

A budget is a financial blueprint that details how you plan to make and spend money. A deviation from the proposed budget is considered a variance. A variance can have a positive or negative effect on a budget. A variance analysis is used to monitor the deviations and aid in determining the cause and solutions to promote favorable outcomes (Woodruff, 2019). 

Variance Discussion Case

The variance case presented a hospital budget plan highlighting surgical services. The money coming into the organization was calculated from the gift shop (+$1000), surgery (+$263,250), and parking (+$2000). The total of the three areas of revenue was $266,250, and all were considered favorable according to the formula, actual minus budget. The surgical volume was budgeted at 2,300, and the actual was 2,600. This could be regarded as favorable in some cases because the organization brought in more cases than expected. Still, it could also be considered unfavorable because an increase in patient volume equals an increase in other costs, such as labor and supplies. According to Dexter et al. (2001), the increased volume could increase surgical wait times, resulting in dissatisfied customers leaving without receiving planned surgical interventions.  

Expenses equal money being spent. In this case, the expenses listed were from the pharmacy (-$39,000), supplies (-$727,600), and fixed overhead costs (-$58,000). The company's total expenses for the three areas were $824,600 over the budgeted amount. According to the formula, budget minus actual this is considered unfavorable in all areas. Patient days were budgeted at 26,000, and the actual number was 25,000. This is favorable if referring to the length of stay. According to Caminiti et al. (2013), inappropriate or prolonged bed use in the hospital equals an increase in supplies needed and, therefore, an increase in spending.

The findings of this case suggest that the hospital is operating in the red or negative. The proposed budget will need to be re-evaluated. Although the money coming into the organization was $266,550, the money going out of the organization was $824,600. The revenue will be needed to cover the expenses, but that still leaves the organization $558,050 in debt. Volume contributed to both revenues and expenses. The more patients in the building, the more money is spent in the gift shop, parking, and surgeries. The more patients hospitalized, the more drugs and supplies are being used. However, price increases in the economy could also affect the cost of drugs and supplies. Fixed overhead costs will likely increase due to rate changes. Without a viable solution and restructuring of the budget, this organization will not be able to remain open for business.  

General Budget Control Strategies

There has been a significant increase in hospital expenses over the past two years. Much of the increase is due to rising labor, drug, and supply costs, increased patient acuity, and length of hospital stay (American Hospital Association, 2023). For surgical procedures, Simon et al. (2018) suggest compiling a standardized list of operating supplies, reducing waste by only opening items when ready to use, and investing in reusable items as appropriate to promote cost containment. Due to the significant deviation from the budget in the case, detailed research into the supply issue is warranted.  

Budget Control Strategies for the RQI Program 

My proposed healthcare product is implementing the Resuscitation Quality Improvement (RQI) program into the school system. Because this program has fixed overhead costs, the proposed budget versus actual expenses must be carefully outlined. My return on investment (ROI) must be clearly stated to convince my financial investors that this program benefits the organization.  

Amber: 

"Variance analysis compares a standard of performance against actual results and investigates those differences that are felt to be the result of inefficient performance" (Robbins & Jacobs, 1985). For the case study, the first question, the answer would be a favorable value of 300. The hospital performed more surgeries than anticipated since the actual surgical volume was higher than the planned amount. The answer to the second question would be an unfavorable variance of -1,000, indicating that the hospital had fewer patient days than expected. The third question answer to the case study would be surgical volume and patient days, which are variances due to changes in volume. The favorable surgical volume variance may impact surgery revenues, pharmacy expenses, and miscellaneous supplies expenses. Gift shop and parking revenues vary due to rate changes or other factors. 

Many practices and strategies, such as financial planning, monitoring, decision-making, and control, can help manage budget variances (Naranjee et al., 2019). It is essential to regularly monitor the budget and actuals because it allows for early identification, correction of variances, and prevention of significant issues. It is vital to implement flexible budgeting based on changing circumstances and utilizing variance analysis to systematically identify and address the causes of variances. Establish clear communication channels so that there is effective communication between departments. Lastly, solid financial controls to ensure that expenses are properly authorized and monitored to avoid overspending or misuse of funds. 

Budgeting control strategies are essential since budgeting affects" patient care, organizational success, and public health; it is ever more critical for healthcare professionals to understand the fundamental principles of budgeting" (Zhang & Bohlen, 2023). Regarding how this involves the product, it is essential to perform market research to estimate demand, pricing, and costs. As well as having roles clearly defined and responsibilities within the organization to ensure proper budgeting and financial management. Furthermore, developing contingency plans to address potential variances, such as regulation changes, reimbursement rates, or market conditions. Additionally, investing in technology and process improvements increases efficiency, reduces costs, and improves patient outcomes. Lastly, continuously improving and learning to adapt the budget and financial management practices as needed.

Hannah:

When analyzing budget variances in healthcare, it is crucial to identify favorable and unfavorable variances (Sorochuk et al., 2023). For instance, a favorable variance in Surgical Volume indicates increased demand for surgeries, which could lead to higher revenue. On the other hand, an unfavorable variance in Patient Days suggests that the hospital had fewer patients staying overnight than anticipated, which could negatively impact both revenue and expenses. To manage budget variances effectively, healthcare organizations must implement best practices and strategies for budget control. Regular monitoring and review of budget performance are critical, which involves comparing actual results to budgeted figures on an ongoing basis to identify variances promptly. In addition, healthcare organizations must use forecasting techniques to develop realistic budget assumptions, considering historical data and potential changes in patient demographics or healthcare trends (Piccialli et al., 2021). Moreover, a proactive approach to budget management involves variance analysis to understand the root causes of variances. Once the cause is identified, corrective actions can be taken. For instance, in the case of the unfavorable Patient Days variance, healthcare organizations could assess the reasons behind the lower patient volume and explore strategies to increase patient admissions or reduce patient turnover. In this regard, effective communication and collaboration between departments and stakeholders within the healthcare organization are vital (Kaplan & Gallani, 2022). Each department should be responsible for managing its budget, and department heads should regularly report on their budget performance (Wagner et al., 2021). This makes it easier to spot variances early and address them collectively. Finally, implementing technology solutions for budgeting and financial management can significantly enhance budget control. Healthcare organizations can invest in specialized healthcare financial software that allows for real-time tracking of expenses, revenues, and patient data (Al-Jaroodi et al., 2020). These systems can facilitate more accurate budgeting, streamline financial processes, and provide insights into areas where cost savings can be applicable. In summary, managing budget variances in healthcare requires careful budget planning, continuous monitoring, variance analysis, and effective communication. Implementing technology solutions and fostering a culture of financial responsibility and accountability can go a long way in controlling budgets effectively and ensuring the financial health of healthcare organizations.

manabi:

Determine the total variance between the planned and actual budgets for Surgical Volume. Is the variance favorable or unfavorable?

In the given scenario the actual number of surgical volumes shows a favorable increase. The budgeted volume is 2300, whereas the actual number of surgeries performed was 2600, increasing the volume by 300. The increase in volume can favorably impact the organization. It is also important to note that with the increase in volume, the need for supplies, on call surgeons, nurses and surgical technicians also increases, and it may also increase over time. The increase in volume does not always translate to profitability as other expenses in multiple areas will increase. When discussing surgical volume, it is pertinent to also understand the types of surgeries performed- elective surgeries have higher profit margin. Increasing elective surgical volume will help maximize profit. The contribution surgery has to a hospital’s cash flow is essential in maintaining financial solvency (Mazzaferro et al., 2022).

In brief, the increase in volume is favorable, but other expenses must be considered to determine if the increase in volume had a positive financial impact or not.

Determine the total variance between the planned and actual budgets for Patient Days. Is the variance favorable or unfavorable?

Decrease in patient days or length of stay has many positive impacts. Decreasing patient days indicates improved length of stay, optimizing operations to financial and clinical outcomes, and decreasing risks associated with an increased length of stay. In the given scenario, the actual patient days decreased by 1,000 when compared to the planned budget for patient days. Briefly, the decrease may seem unfavorable, but the decrease is favorable to the organization as it reduces the risk of costs associated with adverse impact of increased length of stay such as healthcare acquired infection, fall related injuries, and hospital acquired infections. Reduction in the number of inpatient days results in decreased risk of infection and medication side effects, improvement in the quality of treatment, and increased hospital profit with more efficient bed management (Baek et al., 2018).

Consider which variances are potentially due to change in volume and which variances are potentially due to change in rates or other factors.

It is pertinent to understand inpatient surgical care represents nearly 50% of hospital expenditures and 30% of overall healthcare costs (Kaye et al., 2020). It is evident that the expenses related to pharmacy cost and miscellaneous costs are related to increased surgery volume. It is expected for pharmacy costs to rise in conjunction with the surgery volume as more pharmacy supplies are required for the surgeries. The budget for miscellaneous expenses is extremely low, compared to the actual expense. Considering miscellaneous expenses for the new fiscal budget will be beneficial to close the gap in variance, the miscellaneous cost could be related to increased overtime, on call hours, surgery supplies or adverse patient outcomes, the budget analysis does not clearly describe what the expenses are related to. Parking and gift shop volume increased by a minute amount, relating the this increase to the increase in surgery volume is justified.

Research class: respond to  the four colleagues in one or more of the following ways: (provide at least 2 references each colleague response)

· Ask a probing question, substantiated with additional background information, evidence, or research.

· Share an insight from having read your colleagues’ postings, synthesizing the information to provide new perspectives.

· Offer and support an alternative perspective using readings from the classroom or from your own research in the Walden Library.

· Validate an idea with your own experience and additional research.

· Suggest an alternative perspective based on additional evidence drawn from readings or after synthesizing multiple postings.

· Expand on your colleagues’ postings by providing additional insights or contrasting perspectives based on readings and evidence.

precious:

Quantitive Analysis and Interpretation: T-Test ANOVA in Clinical Practice

A study by Donovan and Payne in 2021 called "Organizational commitment of nurse faculty teaching in accelerated baccalaureate nursing programs" used nurse faculty members who taught in accelerated baccalaureate nursing programs as their sample group. This group of nurses is especially relevant to the discussion of organizational commitment because they teach new nurses and have a big impact on the nursing field as a whole.

Data for the study was collected using an online survey. The method of data collection described has numerous benefits, particularly when dealing with a sizable cohort. Online polls are a highly convenient, inexpensive, and readily accessible method for obtaining feedback and disseminating information (Nayak & Narayan, 2019). Furthermore, they guarantee that participants will maintain their anonymity, potentially fostering greater honesty. Utilizing an online survey questionnaire is an effective method for examining the level of commitment within the group of nurse professors. Subsequently, the acquired numerical data can be readily analyzed using inferential statistical techniques.

T-tests were used for inferential statistical analysis in the study paper. Statisticians use T-tests to find differences between the means of two groups that are statistically significant (Mishra et al., 2019). With t-tests, the researchers were able to see if there were changes in organizational commitment that were statistically significant between the groups of nurse faculty members who taught in rapid bachelor's nursing programs. The study found that teachers at accelerated baccalaureate nursing schools were very committed to their jobs. The data shows that most nursing staff members are very dedicated and happy with their job and the school as a whole. Eslami and Gharakhani (2012) found a link between organizational commitment and higher job happiness, better performance, and lower employee turnover.

Other specific findings and trends found in the study include differences in organizational commitment based on age, level of education, and length of employment. The study discovered that nurse teachers with more education were more committed to their jobs than those with less education. Also, staying with the same company longer and being older were both linked to more organizational engagement.

Inferential statistics, especially t-tests, made the research study more useful because they let the researchers find important differences in how committed different groups of nurse professors were to their jobs. Researchers used t-tests to find out what factors affect organizational commitment. Some of these factors are age, educational level, and length of work. This information is very helpful for nurse educators and administrators because it lets them customize interventions and strategies to boost faculty commitment to the organization and work satisfaction.

The results of this study add to evidence-based practice by giving us a better picture of the things that make nurse educators in accelerated bachelor's degree programs committed to their jobs. For nursing schools to make better decisions, this information can help them create focused programs that create a positive work environment, improve teacher support and recognition, and create opportunities for professional growth. Strategies based on evidence that aim to boost organizational commitment could have a positive effect on the retention of nurse faculty, job happiness, and, in the end, the quality of nursing education students receive.

            This study is more applicable to evidence-based practice within the framework of inferential statistics because it uses t-tests. Researchers analyzed the data using t-tests and found that various groups had significantly varying levels of commitment to the organization. A more thorough and robust analysis of the data was made possible by this statistical technique. Age, education level, and length of employment are some of the factors that impact organizational commitment, and the researchers used this data to pinpoint these factors. This data is crucial for nursing schools that want to base their decisions on facts since it emphasizes certain places where changes can be made to boost organizational commitment and make things better for nurse educators overall.

For example, the discovery that highly educated nurse educators demonstrated greater organizational dedication can inform the design of professional development opportunities and programs. Finding that older and more tenured faculty members are more invested in their work should also inform strategies to increase job satisfaction and engagement among younger or more recent recruits. The evidence-based interventions can be tailored to match the specific characteristics and demands of the nursing faculty. All three of these metrics—staff happiness, retention, and nursing education quality—will rise as a result.

Because of this, the use of inferential statistics, especially t-tests, makes this work more useful for evidence-based practice. In accelerated bachelor's degree nursing programs, these statistical analyses help to give nurse educators and managers useful information and suggestions they can use to get nurse teachers more committed to their jobs.

Grace:

T-Tests and ANOVA in Clinical Practice

Burnout among nurses is a severe problem in the healthcare industry that impacts both individual and organizational outcomes. Burnout among nurses is a severe healthcare industry problem that affects personal and corporate development. An article by Zhang et al. (2020) thoroughly summarizes systematic reviews and meta-analyses that concentrate on therapies meant to reduce burnout among medical professionals, especially Registered Nurses. The research integrates data from other studies to give a more comprehensive knowledge of efficient methods for addressing burnout in healthcare workers. The article examines a variety of treatments and how they affect burnout mitigation, providing insights into evidence-based approaches that may enhance the well-being of medical professionals and nurses.

Summary and Purpose of the Article

The article by Zhang et al. (2020) aimed to provide a comprehensive overview of interventions to reduce burnout among physicians and nurses. They examined 22 papers published between 2014 and 2019 and dealt with various treatments, including integrated methods, individual-focused (emotion regulation, self-care workshops), and structural or organizational (workload management, stress management training). The Maslach Burnout Inventory (MBI) was a popular tool for evaluating burnout. The studies' methodological quality and bias risk ranged from moderate to high. The study highlights the complexity of burnout and recommends a multifaceted approach to intervention. With an emphasis on the necessity of immediate implementation and ongoing assessment, the findings are intended to assist clinical managers and health policymakers in developing measures that effectively address burnout among healthcare personnel .

APA CITATION

Zhang, X. J., Song, Y., Jiang, T., Ding, N., & Shi, T. Y. (2020). Interventions to reduce burnout of physicians and nurses: An overview of systematic reviews and meta-analyses.  Medicine, 99(26), e20992. https://doi.org/10.1097/MD.0000000000020992

Data Sources

The data sources were primary research articles from several databases, including PubMed, Scopus, and Web of Science. The researchers used inferential statistics, such as meta-analysis, to synthesize the data from the included studies. The article review followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines.

Purpose and Value of Research

The purpose of this research study was to provide a comprehensive review of the existing evidence on interventions for reducing burnout among healthcare professionals. The value of this study lies in its potential to inform the development and implementation of effective strategies for burnout reduction in healthcare settings.

Use of Inferential Statistics in Evidence-Based Practice

Inferential statistics in this study strengthened its application to evidence-based practice. By synthesizing the data from multiple studies, the researchers were able to provide a more robust and reliable estimate of the effectiveness of different interventions. This approach enhances the generalizability of the findings and provides a solid evidence base for decision-making in healthcare practice.

Strengths and Weaknesses of Inferential Statistics

We may infer information about the entire population from a small sample size, which saves time and money when using inferential statistics. For example, analyzing a small sample of people is far more efficient than examining the complete male population of an area to determine the average male height of that region. In principle, the entire population may have been studied in the scenario above. Researching the whole population is only sometimes feasible. We obviously cannot test every bulb a factory produces, for instance, if we wish to determine the mean life of the lights made by that firm. Such models need the collection of a representative sample.

Inferential statistics in the review strengthened the study's application to evidence-based practice by providing quantifiable measures of intervention effectiveness (Nayak & Narayan, 2019). For instance, conducting a meta-analysis could have offered more robust conclusions by statistically combining results from various studies, enhancing the credibility and applicability of the findings. However, even without direct inferential statistics, the review's value remains high in guiding healthcare practitioners toward potentially effective interventions to mitigate burnout among Registered Nurses in acute care settings. However, additional scrutiny of the studies included in the review may be required to assess their methodological rigor and reliability.

Conclusion

The research by Zhang et al. (2020) addressed various contexts and highlighted the variety of treatments that may help guide future investigations. The current analysis clarified the data supporting physician and nurse burnout reduction, which gives clinical managers or health policymakers a foundation to build workable, low-complexity solutions to guarantee clinical safety while reducing physician and nurse stress.

Iretioluwa:

Topic Selected: The impact of intentional rounding

Broad Topic: Intentional Rounding versus Standard of Care for Patients Hospitalised in Internal Medicine Wards

The research is addressing the problem of patient falls. The aim of the study is to identify if the practice of intentional rounding reduces patient fall incidences.

Independent Variable: The use of intentional rounding

Type: It was a type of nominal variable as the use of intentional rounding was defined as Yes or No

Dependent Variable: The dependent variable for this research is the patient fall incidences.

Type: This was an ordinal variable as the patient fall incidences were defined from Low to High

A sample of 485 patients was selected for this research work and The convenience sampling method was used. The data was collected through the electronic health record data of patients in the health care setting as all the health records were analyzed to identify the fall incidences. The quantitative data analysis was done and data was analyzed with the help of SPSS software. Two tailed test was performed. In addition, Wilcoxon-type tests were performed for continuous variables and the Pearson chi-square test, or Fisher’s exact test, whichever was appropriate, was performed for categorical ones. The study supports the usefulness of Intentional Rounding in a complex and vulnerable population such as that hospitalized in internal medicine units. The use of inferential statistics add to the insights laid out from the study. Limitation of the study, it is probably not trivial to consider that the patients in the intervention group had a higher rate of falls and lower functional ability than patients in the control group.

Brittani:

Burnout is commonly found in the nursing community; it is physical, mental and psychological exhaustion related to chronic, work-related stress. Long hours, high workloads and a physically and emotionally demanding job such as nursing all contributes to burnout. Acupuncture and Acupressure has been used to improve a variety of stress related symptoms for people for years; in attempting to find strategies to help mitigate the risk of burnout the use of acupuncture and acupressure were thought of and studied.

Data Collection & Results

The study began as a randomized trial on a 334-bed pediatric trauma center. Those who wanted to participate were randomly placed in three different study groups; 1. Auricular acupuncture, 2. Auricular seed acupressure, and 3. Auricular massage. Pre-study and post- study each participant was surveyed using the Self-reported State-Trait Anxiety Inventory (STAI), Professional Quality of Life (ProQOL), and Caring Ability Inventory (CAI) scores (Afrasiabi, et al., 2021). Analysis of variance, Fisher’s exact test and univariate analysis were used to analyze study results. Seed acupressure treatment led to a reduction in burnout (ANOVA, p=.04) and post-traumatic stress (ANOVA, p=.05). In conclusion, the ANOVA test for burnout suggests there is not enough evidence to reject the null hypothesis to conclude a significant difference between each group and its effect on burnout and post-traumatic stress.   

Ultimately, this study concluded that although auricular acupressure and acupuncture are safe and effective ways to help prevent and reduce burnout and stress although there is no difference between the types of acupressure/acupuncture on its effects.

ANOVA and t-tests are commonly used to find significant relationships between data points and aid in the acceptance and rejection of a null hypothesis. This study provides context to healthcare facilities on different ways managers can implement self-care to prevent burnout in their units. This study can help display the effects on burnout on patients and employees and also gives ways to help prevent and fix burnout.