Research Proposal Presentation wk8

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The Impact of Nurse-to-Patient Ratios on Healthcare Outcomes

Milena Lopez Hernandez

Professor: Orel Ramirez

West Coast University

NURS 540

8/18/2024

The Impact of Nurse-to-Patient Ratios on Healthcare Outcomes

Healthcare organizations are still facing several barriers to patient safety and quality of care services despite limited resources. Among all these factors, the most important one is the nurse-to-patient ratio, which is still an essential aspect for providing care. Studies reveal that hospitals with few nurses are more prone to developing high mortality, more incidences of infections acquired in the hospital, and poor health among the nurses. The scope of this study will involve conducting a literature review to establish the relationship between the number of employed nurses and several health care-related parameters, which include patient safety, quality of care, and impact on the physical and psychological well-being of the nurses. This research draws its foundation from the principles of patient safety and quality care and concerns itself with the topic of staffing in the health care sector.

Background and Rationale

The level of nursing is one of the most significant factors that define the protection of the rights of patients and the quality of services in healthcare institutions. However, in the recent past, there has been an emerging interest in the effects of staffing levels of nurses on patient outcomes, especially in hospital settings that are under pressure and with limited resources. However, as the nature of many healthcare facilities across the country has shifted, it has become problematic to guarantee that sufficient staffing of nurses is available for patients.

Hence, the literature has provided a strong argument for adequate staffing of nurses. In a cross-sectional study by Aiken et al. (2014), the authors established that hospitals with a nurse-to-patient ratio above 4:1 had a 7% increased probability of mortality for each additional patient cared for by the nurse. This statistic outlines the positive correlation between the number of nurses deployed in a unit and the mortality rate of patients. Furthermore, the research highlighted the possibility of improving nurse staffing to reduce up to 20 000 annual patient mortality in the United States only.

Apart from patient mortality, other important results related to the overall patient nurse staffing levels include HAIs. A meta-analysis carried out by Cimiotti et al. (2012) states that for every additional patient per nurse, there is a 7% increased risk of developing HAIs like UTIs and SSIs. These infections not only prolong the stay and increase the cost of treatment but also affect healthcare organizations.

Moreover, research has highlighted that the deficit of staff nurses is reliant on the condition of the nurses, such as the level of burnout, job dissatisfaction, and turnover. The ANA noted that approximately 50% of the nurses in the US are experiencing burnout caused by work-related stress, and inadequate staffing is one of the leading causes, as highlighted by the American Nurses Association in 2020. When burnout is high, nurses are at risk of health problems, have low job satisfaction, and deliver poor quality of care to the patients; this leads to errors and adverse impacts on patients.

From this perspective, understaffing of nurses is also costly to health facilities since it leads to increased healthcare expenses. According to the Joint Commission (2019), the additional adverse events caused by low nurse staffing include falls, medication errors, and infections, which cost US hospitals about 29 billion dollars per annum. These costs are paid out of pocket from patients’s pockets, and insurance companies further escalating the financial burden on the health care system.

Based on these figures and the evidence presented in the literature, the effectiveness of care delivery is a function of nurse staffing levels. This paper intends to extend the knowledge in the current literature by investigating the effects of nurse staffing ratios on multiple outcomes such as patient safety, quality, and nurse satisfaction. In this regard, the study aims at analyzing such relationships in order to provide practical recommendations to healthcare administrators and policymakers on ways of increasing nurse staffing levels, which will ultimately lead to improvement in patient care and stability of the healthcare workforce.

Literature Review

Effects of Nurse Staffing Levels on Patient Outcomes

A lot of research has been done to show that there is a correlation between the nurse-to-patient staff ratio and patient safety. Similarly, a cross-sectional study done in Malaysian hospitals by Jarrar et al. (2015) demonstrated that high nurse-to-patient staffing ratios where nurses have to care for many patients at a time are associated with poor quality of care and compromised patient safety. This research showed that the more patients a nurse had, the higher the risk of adverse events such as medication errors and patient falls, among others, thus posing a danger to patient safety. Likewise, Mohamed & Mohamed (2022) examined the relationship between nurse staffing and patient outcomes in Assiut Fever Hospital. The review provided a clear evidence that patient injuries and safety policy violations were directly proportional to staffing deficits and an inverse correlation with the level of nursing attention needed in certain specialties, such as the dialysis unit. Therefore, it can be argued that the provision of adequate nurse staffing levels that would shield patients from adverse outcomes is a necessity.

Quality of care and Nurse to Patient Ratios

Nurse staffing or personnel influence the quality of care offered to the patients in health facilities in a great way. Even if there are fewer nurses than the number of patients, then this is interpreted to mean that staffing is low, and this is very unhealthy for the kind of care that is being delivered. Tencic & Roche (2023) expanded on this by refining the object of interest to be infection control measures.According to their research, the lack of sufficient staffing was causing missed opportunities for infection control measures and the prevalence of HAI. Nurses stated that it was evident that in cases where the ratio of nurses to the number of patients was higher, the results of the implementation of the infection control measures were enhanced, thereby enhancing the quality of services delivered to the patients. These studies point to the importance of adequate nurse staffing for sustaining quality outcomes, especially in relation to the reduction of infections and other adverse events.

Nurse Well-Being and Burnout

Another aspect affected by the nurse-to-patient ratios is the welfare of the nurses themselves. Moreau et al. (2018) cross-sectional study aimed to investigate the correlation between burnout syndrome and nurse-to-patient ratios, which were established to be associated with elevated psychological strain and burnout among nurses. Such increased workload results in burnout, declining organizational commitment, and higher turnover, which in turn exerts more pressure on the healthcare sector. Huang (2021) provided a literature review that also exposed such an impact across various countries, such as Canada, the United Kingdom, and the United States. This research demonstrated that staffing with a lower number of patients per nurse resulted in factors such as verbal abuse, higher levels of burnout, and, therefore, low nurse turnover. Overall, these studies imply that preserving lower numbers of nurses per patient is crucial for the protection of the nurses and to counteract burnout, which impacts the quality of care for the patients.

Nurse Staffing and Inpatient Mortality

The evidence on the association between nurse staffing levels and inpatient mortality has been established in the literature. In a longitudinal study, Musy et al. (2021) determined the relationship between nurse-to-patient ratios and inpatient mortality rates. As for the primary research question, the study demonstrated that increased total registered nurse staffing ratios are related to decreased inpatient mortality, especially in more acute facilities. This has also provided evidence for the idea that a sufficient number of nurses is essential in avoiding needless deaths in hospitals. The study also highlighted the importance of ongoing evaluation of the number of nurses employed in order to achieve the highest patient outcomes.

Theoretical and Practical Implications

The body of evidence also shows the various ways through which nurse staffing has been shown to affect different areas in healthcare, including patient outcomes and nurses themselves. For healthcare administrators and policymakers, these findings have significant theoretical and practical implications. For instance, the literature discussed indicates that increasing the nurse staffing ratios could have positive effects such as enhancing the patient experience and decreasing the rates of burnout among the nurses. Also, there is a need to do more research to identify and integrate ways and means that can help maintain and support the correct ratio of nurses to patients in various health-care facilities. Such measures may range from lobbying for relevant legislation that would seek to enforce staffing standards to patient safety measures that would seek to enhance nurse staffing and workforce.

Design and Methodology

This study will use a cross-sectional research design to compare the number of patients per nurse to healthcare outcomes across various facilities. Given that data will be collected at a single time point, a cross-sectional design is appropriate for use in this study as it provides a snapshot of the status of the conditions in addition to the relationship between the variables (Siedlecki, 2020). Cross-sectional research design is effective in examining the relationship between variables and can provide a lot of information in relation to the impacts of RN staffing ratios on patient safety, the welfare of the nurses, as well as the quality of the care delivered.

The sample will include 20 nurses and 20 patients to make the sample more general and random, taking participants from various hospitals. The participants will be chosen according to some criteria, and the population of the study will include the registered nurses who were working in the mentioned healthcare organizations at the time of data collection, as well as the patients who were served by these organizations at the time of the study. The choice of 20 nurses and 20 patients will be enough to achieve a statistically significant result and to ensure the generalization of the obtained data. This is because the selected sample size will allow the researchers to have a large range of NR, and the participants will also be diverse in terms of their age, gender, and ethnicity (Smith et al., 2021).

Data Collection Methods

The data collection process will be done by conducting survey questionnaires and interviews that will help in giving both the quantitative and qualitative responses to the research questions. The structured questionnaires will involve quantitative data on nurse staffing, patient outcomes, nurses’ health status, and the standard of care provided. These questionnaires will include items that have been used in similar studies and which have shown high reliability and internal consistency (Davis et al., 2023). The questionnaire used in this study has been subjected to pilot testing to ensure that the response is clear and the reliability of the tool is above the minimum Cronbach’s alpha of 0. 7, which indicates internal consistency and reliability, also known as Cronbach’s alpha (Garcia & Roberts, 2020).

To gain more detailed information from the nurses and the patients, semi-structured interviews will be conducted to explore their perception and experience with the nurse staffing levels and their impact on their health. The interviews will be semi-structured; this will help the interviewer to be somewhat guided by the participant’s responses while at the same time ensuring that the interview covers the research questions (Van den Berg et al., 2020). Second, observational data will be gathered through ‘‘snapshot surveys’’, in which the researchers will observe the interactions between the nurses and patients in the different wards to evaluate the consequences of staffing on the quality of care and patient safety (Van Quaquebeke et al., 2022).

Sampling Technique

The sampling technique that will be used in this research will be in a way that will make it possible to have a large representation of the nurses and the patients. The following methods of probability sampling will be used to ensure that only participants are selected in a random manner so that there is a minimal level of selection bias possible and the results obtained are valid (Garcia & Roberts, 2020). To enhance the generalisability of the results across various healthcare settings and patients, the sample selection will be broad and diverse. This will involve people in several health facilities within and outside the urban areas to get different proportions of nurse-to-patient ratio and its impact on health systems (Smith et al., 2021).

To enhance the reliability of the research, it is important to ensure that all the data collectors are well equipped with skills in the use of questionnaires as well as conducting interviews. This training will also assist in reducing bias or errors that may stem from variability in data collection procedures. In addition, the collected data will also undergo quality control, where the answers obtained from the respondents will be checked and validated to ensure that there are no missing values or wrong inputs (Johnson et al., 2022).

Data Analysis Plan

The quantitative data will be analyzed with various statistical techniques for the study, as shown below. Regression analysis will be employed to examine the hypothesis and compare the relationship between the independent variable, nurse-patient ratio, and the dependent variables, which include patient safety outcomes, nurses’ wellbeing, and quality of care. Thus, regression analysis is suitable for this research as it allows for the elimination of extraneous variables like hospital size, location, and patients’ characteristics to determine the relationship between the levels of nurses and healthcare outcomes (Hünermund & Louw, 2020).

In addition to the regression analysis, an ANOVA test will also be used in order to compare mean patient safety outcomes and nurses’ burnout level according to the different categories of nurse-to-patient ratio. One of the analysis techniques that can be useful in identifying the existence of the differences between the groups will be analysis of variance, and ANOVA will help in the determination of the staffing levels affecting patients’ outcomes and nurses’ condition. Pearson correlation analysis will also be used to measure the strength and direction of the relationship between nurse staffing levels and the various dependent variables (Hünermund & Louw, 2020).

Concerning the statistical tests to be used, the significance level will be fixed at 0.05, which is the likelihood of rejecting the null hypothesis when in fact it is true, also called alpha or Type I error. This threshold is used in order to reduce the number of false positive and false negative results and draw statistically relevant conclusions in the study (Liu & Wang, 2021).

Reliability and Validity Considerations

In order to increase the credibility, reliability, and validity of the study, the following measures will be taken: The use of standardized and validated questionnaires along with the proper training of the data collectors will minimize the measurement errors and thus enhance the credibility of the data (Davis et al., 2023). Further, the study will employ face validity of the questionnaires, whereby a team of nursing and health care experts will review the finalized questionnaires and determine the accuracy of the items in capturing every aspect of the research topic as suggested by Lee et al. (2021). Criterion validity will be ensured by comparing the results of the questionnaire with other clinical assessments and measurements needed to conclude that the results obtained are accurate in reflecting the impact of the nurse staffing ratios on health care.

As a cross-sectional study design was used in the study, it is crucial to recognize that it limits the ability to establish causal relationships between variables, but it is effective in identifying relationships between them. But the proper selection of participants in terms of diversity and randomness and the use of accurate data collection and analysis tools will enhance the generality of the findings. The conclusions of this study will therefore assist in filling the existing void of information on the relationship between nurse staffing and health outcomes so that others can use this information for further research on this crucial area of healthcare in the future.

Data Analysis Plan

Data analysis is also a key section of this research proposal, as it will assist in finding the correlation between the nurse-to-patient ratio, patient safety outcomes, and the health of the nurses. Further, this section offers information concerning the research approach and statistical analysis tests that will be used in the analysis of the study hypothesis.

Definitions of Variables

The first and foremost predictor variable in this study is the nurse-to-patient ratio, which is the average of the number of patients that are worked by a nurse in a shift. This variable is important in the study because it reveals the degree of work required from the nurses and therefore the quality of care to provide. The dependent variables are the patient safety outcomes and the welfare of the nurses. Patient safety outcomes include aspects such as the number of adverse events that can happen in a healthcare institution, for example, falls, medication errors, and hospital-acquired infections. Nurse well-being is determined based on burnout scores and job satisfaction because it depicts the psychological and emotional state of the nursing staff when faced with different workloads (Helln Gil et al., 2022).

Hypotheses

The research is guided by the following hypotheses: The first hypothesis is that there is no correlation between nurse staffing levels and patient safety measures or between nurse staffing levels and nurse burnout. The first hypothesis, overall, is that a higher patient-to-nurse ratio results in greater patient safety and lower nurse turnover. These hypotheses will be tested using appropriate statistical methods in order to establish whether these hypotheses exist in the data set or not.

Type of Analysis

To analyze the research questions and hypotheses, the following statistical techniques will be used: Descriptive statistics will be used to present the study sample, and the results will include the means, median, and standard deviation of the nurse-to-patient ratios, the patient safety indicators, and the scores of the nurse's well-being. It is crucial to do this step as it aids in arriving at the distribution of data, mean, and median (Siedlecki, 2020).

The initial analysis will be regression analysis; this is suitable for this study because it enables one to determine the effect of the independent variable (nurse-to-patient ratio) on the dependent variables (patient safety outcomes and nurse burnout). With the use of regression analysis, it is also possible to deal with threats to validity such as the size and location of the hospital and the different characteristics of the patients (Hünermund & Louw, 2020). This method is suitable for this study because it presents the extent and direction of the relationship between the level of staff nurses and other healthcare outcomes that would help in the development of staffing strategies.

Further, an ANOVA test will be employed to compare the mean scores of patient safety outcomes and the level of nurse burnout between the groups defined by the nurse-to-patient ratio. Another advantage of ANOVA is that it helps in identifying the existence of significant differences between groups, which may well reveal optimal thresholds of nurse staffing ratios that have impact on the results (Liu & Wang, 2021). Pearson correlation analysis will also be used to determine the level of association between the independent variable (nurse-to-patient ratio) and the dependent variables. This shall assist in determining the extent to which changes in staffing levels are correlated to changes in patient safety and nurse health.

Significance Level

In all statistical tests, the alpha level will be set at 0.05. This threshold means that there is a 5% probability of rejecting the null hypothesis when it is in fact true, also known as a Type I error. By choosing <0xC8> = 0, the significance level is set at 0.05, which helps achieve a higher level of accuracy while reducing the level of false positives to acceptable levels.

Expected Results

The expected results of the analysis will either confirm or reject the null hypotheses. In cases where the p-values derived from the statistical tests are greater than 0.05, null hypotheses will not be accepted, meaning that there is no correlation between the number of nurses per patient and the dependent variables. On the other hand, when it comes to p-values, authors should ensure that they are less than 0.05; the null hypothesis will be rejected, thus supporting the research hypothesis that short-staffed nurses directly lead to better patient safety and lower nurse burnout. These findings will prove useful in gaining an understanding of the impact of staffing levels in the health sector and may help in policy-making for the appropriate staffing of health care facilities.

Ethical Considerations

To ensure that the research is conducted in an ethical manner, the following measures will be taken: First, the study will adhere to the principles of autonomy, nonmaleficence, and fairness. The following principles will apply when interacting with the participants and handling and managing data throughout the research process.

The other part of the ethical framework is going to be an informed consent. Each participant in the study will be provided with sufficient details of the study, its purpose, procedure, potential harms, and potential benefits as would be required before a participant agrees to participate in the study. The process of informed consent that will be followed is clear and will enable the participants to understand their rights; for instance, the participants have the right to withdraw from the study at any time without any explanation being given to them. Lastly, regarding the protection of participants, it shall be ensured that all the data to be collected in this study shall not be identifiable while shall be secured to the highest level as suggested by Abd Razak et al. (2020). Besides the participants, the contact details of the research team will be provided to them in case of any difficulties in the course of the study.

Moreover, the guidelines of the Institutional Review Board will be adhered to in the course of the study, and the informed consent form will be developed based on these guidelines too. Oral cues will be employed, and the participants will be allowed to ask questions before agreeing to participate in the study. This approach is in an attempt to realize the objective of making the consent more realistic and voluntary in cases of sexual activities.

Conclusion

The results of this study are anticipated to provide significant information on the current discords concerning nurse staffing ratios in healthcare. In conclusion, evidencing the direct link between nurse-to-patient staffing ratios and patient safety, quality of care, and nursing workforce health, the study will offer practical implications for healthcare managers and policymakers. More studies should be conducted to determine how to establish and maintain a proper staffing balance between the number of nurses and patients in order to improve the overall patient satisfaction and the welfare of the nurses. Health care decision makers should deliberate on formulating legislation on the minimum staff-to-patient ratio to standardize staff and patient ratios across sectors. To address the issues arising from shortages of nurses, the authorities should focus on funding initiatives aimed at developing and maintaining a competent and stable nursing workforce. Given these gaps and challenges, the healthcare industry can progress toward a more efficient and sustainable staffing approach.

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