Rafferty, Clarke, Coles, Ball, James, McKee and Aiken (2007) conducted a cross sectional analysis combining nursing data collected by surveys and discharge data collected from electronic databases. The study set out to examine the effects of hospital wide nurse staffing levels on patient mortality, nurse job dissatisfactions, burnout, nurse rated quality of care and failure to rescue (Rafferty et al., 2007). This study was performed in England, similar studies have been conducted in North America.
Rafferty et al. (2007) collected nurse and patient data from 30 hospitals in England. Overall the data was collected from three different sources. The information about each hospital structure was obtained from administration database. Data from
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This tool has also been used by many authors in North America including Cimiotti et al, (2012) and Neff et al. (2011). Nurses also reported job dissatisfaction using a 4-point scale ranging from very satisfied and very dissatisfied. As far as the quality of care is concerned, nurses were given the choice to rate the quality of care being provided on their units as excellent, good, fair or poor. Nurses were also asked to rate the quality of care the hospital is providing has been improving, stagnant, or detreating (Rafferty et al., 2007).
Some of the patient data obtained by Rafferty et al. (2007) was from hospital discharge records. Selected patients were between the ages 20-85 and had been discharged from the hospital in 1998 from one of the 30 hospitals selected. Rafferty et al. (2007) wanted to analyze, does having high nurse to patient ratio effect the care of patients that suffer complications while they are in the hospital. So failure to rescue (FTR) was examined by using logistic regression models to see the effect of nurse staffing on patient outcomes mortality and FTR. For data analysis, descriptive statistics were used to show characteristics of the patients and the nurses (Rafferty et al., 2007).
The results from this study which was conducted in England had the same results authors have come up with in North America. Across the 30 hospitals used to in the research article, 3984 nurses responded to the surveys and questionnaires. A little more than
Stanton, M. R. (2004, March). Hospital Nurse Staffing and Quality of Care. Research in Action. Rockville, MD, USA: Agency for Healthcare Research and Quality.
In an article published by Applied Nursing Research the authors point out that nurse staffing is related to patient outcomes, “lower levels of RN staffing are associated with higher rates of OPSN (Outcomes Potentially Sensitive to Nursing) in both medical and surgical patients treated in hospitals, U.S. Medicare, and other publically available administrative data” (Duffield et al., 2011, p. 245). The writer of this paper researched 5 relevant articles regarding the relationship between nurse to patient ratio, morbidity, and mortality, every article related similar information. “A systematic review of 102 studies concluded that increased RN staffing levels are associated with lower rates of morbidity and mortality” (Ball, Murrells, Rafferty, Morrow, & Griffiths, 2013, p. 2).
The sample size was large enough since it brought together 2,545 nurses, from different nursing units. In addition, the selection of four different hospitals ensured that there was no bias and that any similarity in research findings could be considered as part of the study’s objectives (Brewer, 2006, p. 650).
Research Critique, Part 1: Hospital Nurse Staffing and Patient Mortality, Nurse Burnout, and Job Dissatisfaction
Major studies in the last three decades have confirmed an association between the registered nurse to patient ratio and adverse patient outcomes such as mortality, morbidity, length of stay, failure to rescue (Hunt 19). For example, bed sores or patient falls, are considered an adverse outcome because it is a complication that occurred after the patient was admitted to a healthcare facility, Nonetheless, the key to
Nursing to patient ratio can have a direct impact on patient safety. Studies have been done that show that these ratios impact patient outcomes and mortality rates when nurses are understaffed and are given a larger patient load than they can handle safely. Nursing education level has also shown to play a role in patient outcomes. Whether they are an unexperienced nurse or the patients are at a higher acuity and require more time for care, these larger ratios can be detrimental to the nursing quality of care that can be provided. These larger nurse to patient ratios can also play a part in nurse burnout leading to medical errors, negative patient outcomes, and higher health care costs in the future.
For over a decade researchers have been performing studies examining the effects patient-to-nurse ratios have on adverse outcomes, mortality rates, and failure-to-rescue rates of patients and on job dissatisfaction and burnout experiences of nurses. Aiken, Sloane, Sochalski, and Silber (2002) performed a study which showed that each additional patient per nurse increased patient mortality within 30 days of admission by 7% and increased failure-to-rescue by 7% as well. This same study also showed that each additional patient per nurse resulted in a 23% increase in nurse burnout and a 15% increase in job dissatisfaction. Additionally, Rafferty et al. (2007) performed a study in which the results showed that patients in hospitals with higher patient-to-nurse ratios had a 26% higher mortality rate and nurses were twice as likely to have job dissatisfaction and experience burnout. Blegen, Goode, Spetz, Vaughn, and Park (2011) performed a study where results showed that more staffing hours for nurses resulted in lower rates of congestive heart failure morality, infection, and prolonged hospital stays. The same study also showed that increased nursing care from registered nurses resulted in lower infection and failure to rescue rates and fewer cases of sepsis.
Additionally, the study found that a high patient to nurse ratio resulted in greater emotional exhaustion and greater job dissatisfaction amongst nurses. Each additional patient per nurse was associated with a 23% increase in the likelihood of nurse burnout, and a 15% increase in the likelihood of job dissatisfaction. Moreover, 40% of hospital nurses have burnout levels exceeding the normal level for healthcare workers, and job dissatisfaction among hospital nurses is four times greater than the average for all US workers. 43% of nurses involved in this study that reported job dissatisfaction intended to leave their job within the upcoming year. (Aiken et al.)
with recommendations for changes needed in nursing. This was a response for the need to assess
Nurses are crucial in providing quality care in the health care industry. It is imperative to maintain the proper staffing ratio to ensure that nurses can maintain high quality care for their patients. Studies have shown that the increasing workload of nurses can be linked to increased patient deaths, medical errors, hospital-acquired infections, longer hospital stays, and many other complications. (National Nurses United n.d. ) Leaders and managers play a vital role in developing
Nursing-sensitive indicators can be an important tool in identifying patient care issues that could potentially arise during a hospital stay. By analyzing the data on specific nursing-sensitive indicators, the quality of patient care can be optimized and patient satisfaction can be improved. The American Nurses Association (ANA) and the National Database of Nursing Quality Indicators (NDNQI) are two sources of information and guidelines for nurses and nurse managers to use in planning patient care and workloads for each nursing unit. The use of available resources, staffing by acuity and patient needs, appropriate referral indicators, and cooperation
Inconsistent nurse-patient ratios are a concern in hospitals across the nation because they limit nurse’s ability to provide safe patient care. Healthcare professionals such as nurses and physicians agree that current nurse staffing systems are inadequate and unreliable and not only affect patient health outcomes, but also create job dissatisfaction among medical staff (Avalere Health, 2015). A 2002 study led by RN and PhD Linda Aiken suggests that "forty percent of hospitals nurses have burnout levels that exceed the norms for healthcare workers" (Aiken, Clarke, Sloane, Sochalski & Silber, 2002). These data represents the constant struggle of nurses when trying to provide high quality care in a hospital setting.
Nurse staffing and how it relates to the quality of patient care has been an important issue in the field of nursing for quite some time. This topic has been particularly popular recently due to the fact that there is an increasing age among those who make up the Baby Boomer era in the United States. There will be a greater need for nurse staffing to increase to help accommodate the higher demand of care. Although nursing is “the top occupation in terms of job growth,” there are still nursing shortages among various hospitals across America today. The shortage in nurses heavily weighs on the overall quality of care that each individual patient receives during their hospital stay (Rosseter, 2014).
Over the last decades both public and private hospitals have been experiencing severe financial situations (Everhart, Neff, Al-Amin, Nogle, & Weech-Maldonado, 2013). The financial shortage is associated with delay or even lack of governmental sponsorship and competition from their rivals. Enacting the policy will mount financial pressure on these hospitals that are on cost-cutting strategies. The salaries and wages of nurses are dominating the costs of operation in the hospitals and therefore adding more staff to correct the understaffing will be like creating another problem (Goddard, 2003). Contrary, Empirical studies prove that adequate nurse staffing produces better outcomes for both the staffs and the patients (Donaldson & Shapiro, 2010). These do not mean that the financial performance of the health centers will be at stake. Quality is associated with profitability. Understaffing leads to increased workloads, fatigue and job dissatisfaction. These situations that can be corrected on the implementation of proper staffing policies (Everhart, Neff, Al-Amin, Nogle, & Weech-Maldonado, 2013). The policy aims at offering quality service, reasonable patient-doctor ratios, reducing high mortality rates, improving the health of patients through proper examination and disease diagnosis among other
Staffing deficits pose a direct threat of manifesting negative outcomes associated with the delivery of patient care. Anything or anyone that compromises patient care should be eradicated immediately. This author believes that staffing deficits remain a consistent issue due to lack of solutions that actively address the issue. This author believes that inadequate staffing is a major concern due to the degree of harm it can impose on patients. Adverse events associated with