Introduction
Potential problems in medical institutions can be monitored using various mechanisms, one way or another, related to the budget. The safety of patients and the quality of services provided often depend largely on financial resources and proper planning. Such mechanisms require a careful approach that combines calculations based on indicators of various types of resources – not only financial, but also human, and, regarding the specifics of inter-institutional collaboration, the number of places to accommodate patients. Knowledge of these skills in forecasting full-time employment needs associated with census changes and variance scenario analysis is critical for any manager in the field.
This work focuses on two types of analysis in the specifics of nursing: personnel budget and variance. In the first scenario, indicators such as ADC, Occupancy Rate, FTE, and ALOS are assessed. They enable caseworkers to accurately assess the current workload and calculate the necessary amount of human resources to deliver quality care without any issues.
In the second case, the indicators volume, quantity, and cost are compared. They, in turn, make it possible to identify significant unfavorable variance and its sources, which become apparent when differentiating omissions in the budget. In both cases, the work is related to medical specifics and aspects of financial resource planning with an eye to other resources, which creates a comprehensive view of the problems described. Each calculation is accompanied by a formula and an explanation of the variables, tailored to the specific conditions of the problem. A potential interpretation is associated with possible real reasons for the obtained results.
Personnel Budget
Sandra Chambers at Potter Regional Medical Center first needs to collect information about budget movements in previous years to track dynamics, changes, and cuts. The HR department can provide up-to-date information on personnel numbers, employee availability, and vacation schedules for more precise planning. Finally, an important point is the study of the organization, mission, and strategy of the medical center’s management, which can reflect the key points of focus for further development. This will help better understand the potential movements of significant financial and human resources.
To calculate the average daily census and occupancy, you must use the following formulas (Imani et al., 2022):
The Unit with an 88% occupancy rate is D. After calculations using the formulas above, the results presented in Table 1 were obtained.
Table 1 – ADC and Occupancy Rate.
For further assessment, it is necessary to refer to the ALOS indicator, which in this case can be calculated using the formula (Imani et al., 2022):
Table 2 shows the calculation results for three units.
Table 2 – ALOS
The ALOS for the unit you identified earlier, at an 88% occupancy rate, is 10.
FTE for unit D can be calculated using the formula (Shin et al., 2019):
In the case of calculating Total FTE including non-productive time, it is also necessary to include this indicator in the numerator of the previous formula, and replace subtraction with addition:
As a result, including nonproductive time in the calculation, it is necessary to increase FTE by 0.24 to cover these conditions fully. A 20% increase in load will require a corresponding adjustment to the formula. In this case, the ADC indicator will change, now equal to 27 * 1.20 = 32.4, or rounded to 32. In this case, the FTE formula will now take the following form, where non-productive hours are not yet taken into account:
Therefore, with a projected 20% increase in occupancy rate, the required FTEs will increase to approximately 52.36 to provide safe and quality care to patients on the unit. Total FTE, by analogy with previous calculations, takes into account non-productive hours, and the formula is modified as follows:
A lack of scheduling could occur for a variety of reasons. Firstly, the medical institution may have undergone personnel changes, or the dynamics of the number of patients may have decreased or increased, which could affect FTE. At the same time, improvements in efficiency or changes in demographic characteristics can lead to process optimization, which usually has a positive effect on this indicator (Shin et al., 2019). Personnel changes could be reflected in the presence of vacancies and a lengthy hiring process.
It is essential to determine the reasons before presenting a final solution to the issue. If some concerns and risks could compromise the safety and quality of work of medical employees, then a request for a budget adjustment is necessary. Still, if there are no such risks, then, depending on the reason, other optimization solutions may be considered, such as increased flexibility in staffing and enhanced productivity with fewer resources.
Variance
The existing report is compiled using the following formulas, and the results are presented in Table 3 (Tran et al., 2019).
Table 3 – Personnel Report
The obtained values make it possible to calculate each of the variances in relation to volume, quantity, and cost using the following formulas (Rundio, 2022):
The volume variance could have been caused by increased costs resulting from actual nursing hours that exceeded the budget. Potential reasons could be an exacerbation or deterioration of patients’ conditions or an increase in the number of their visits during the period under review. The quantitative deviation is caused by the same reasons mathematically – the planned indicator turned out to be too low. Cost variances may be caused by increases in wages, increases in overtime hours, or various allowances.
The impact on current and future budgets occurs in several ways. First, variations in volumes and quantities underscore the need for acuity-based patient numbers to ensure staffing levels are not erroneously low. Second, cost variances necessitate updating the budget with adjustments to reflect actual market conditions and contractual obligations. Finally, the overall budget difference provides essential information about the financial status of the surgical department, enabling an assessment of the discrepancy at the moment and informing considerations for making plans and financial projections. Such a step will require management to make adjustments to the allocation of resources.
Conclusion
In conclusion, monitoring potential problems in healthcare facilities through budgetary mechanisms is critical to ensuring patient safety and quality of care. The availability of financial resources and proper planning play a crucial role in achieving these goals. By carefully considering various indicators such as financial, human, and capacity-related determinants, managers can make informed decisions and effectively forecast full-time employment requirements in response to census changes and variance scenarios. Such an integrated approach to addressing the specific medical needs of nursing enables the achievement of the mission of any organization in providing quality and safe services, in line with the goals of the medical institution itself.
References
Imani, A., Alibabayee, R., Golestani, M., & Dalal, K. (2022). Key indicators affecting hospital efficiency: a systematic review. Frontiers in Public Health, 10, 830102.
Rundio, A. (2022). The nurse manager’s guide to budgeting and finance (3rd ed.). Sigma Theta Tau International.
Shin, S., Park, J. H., & Bae, S. H. (2019). Nurse staffing and hospital‐acquired conditions: A systematic review. Journal of Clinical Nursing, 28(23-24), 4264-4275.
Tran, A., Nguyen, K. H., Gray, L., & Comans, T. (2019). A systematic literature review of efficiency measurement in nursing homes. International Journal of Environmental Research and Public Health, 16(12), 2186.