key: cord-0851527-6wpj5tz8
authors: Sheppard, Katherine N.; Runk, Barbara G.; Maduro, Ralitsa S.; Fancher, Monica; Mayo, Andrea N.; Wilmoth, Donna D.; Morgan, Merri K.; Zimbro, Kathie S.
title: Nursing Moral Distress and Intent to Leave Employment During the COVID-19 Pandemic
date: 2021-09-17
journal: J Nurs Care Qual
DOI: 10.1097/ncq.0000000000000596
sha: b9f7c385700836de3c6559131790e0996266f374
doc_id: 851527
cord_uid: 6wpj5tz8

Complexity in nursing practice creates an intense and stressful environment that may lead to moral distress (MD) and registered nurses (RNs) seeking other employment. LOCAL PROBLEM: In 2020, the RN turnover rate was 8%, with postpandemic turnover projected to reach 13%. METHODS: The Measure of Moral Distress for Health Care Professionals (MMD-HP) was used to measure the frequency and level of RNs' MD. RESULTS: t tests showed significant differences for 16 of 27 MMD-HP items in RN intent to leave. RNs had 2.9 times the odds of intent to leave (P = .019) due to perceived issues with patient quality and safety and 9.1 times the odds of intent to leave (P < .001) due to perceived issues with the work environment. Results explained 40.3% of outcome variance. CONCLUSIONS: MD related to work environment or patient quality and safety were significant factors in RN intent to leave their position.

W hile moral distress (MD) prevalence varies across practice areas, it is a phenomenon ubiquitous to health care that needs to be addressed. 1 The complexity of today's nursing practice, in addition to the COVID-19 pandemic, creates an intense and stressful work environment 2 contributing to physical and mental fatigue for registered nurses (RNs) who must balance patient care demands while managing their feelings. 3 In our geographic region, COVID-19 cases remained relatively stable in the early months of the pandemic, with a 7-day average between 1.9 and 3.6 cases per 100 000 population. 4 Cases increased significantly between July and August 2020, with a high 7-day average of 18 cases per 100 000 population. 4 RNs argued this increase in cases, within a resource-restricted environment, may exacerbate MD and impact RNs' intent to seek employment elsewhere. In 2020, RN turnover in our Magnet and IBM Watson Health Top 100 Hospital was 8%, projected to increase to 13% in 2021, costing our organization $2.4 million in turnover expense. The turnover expense represents RN replacement salary (overtime and agency labor), recruitment (advertise, interview, and preemployment), and onboarding (orientation and training). Therefore, our RNs believed exploring factors influencing MD in our practice environment was critical to reversing the projected RN turnover. expanded to include internal (eg, nurses' belief systems) and external constraints (eg, lack of time, institutional policy, legal considerations, and supervisory reluctance). 9 Predictors of MD include staffing limitations, budget constraints, and higher patient acuity, which may be expressed through frustration, dissatisfaction, and burnout. 10, 11 MD has a direct relationship with RN turnover and quality of patient care. 12 RNs with high MD are more likely to leave the organization, than those with low or moderate MD. [13] [14] [15] [16] [17] [18] One potential reason for RN turnover is the ongoing need to cope with moral dilemmas routinely experienced in nursing practice. 10 Work environment is also a strong predictor of nursing burnout [19] [20] [21] and MD. 3, 22 MD contributes to burnout and decreased job satisfaction, compounding patient quality and safety concerns. 9, 11, 23, 24 Continuous stressors such as increasing patient acuity and suboptimal staffing resources drain RNs' physical and emotional resources, 25 which impact the quality of care RNs deliver. Quality of care is further diminished when MD is present as RNs may not address issues for fear of retaliation. 7 Lack of a healthy nurse-patient relationship can negatively affect the quality and safety of patient care. 26 Workplace stressors may prompt RNs to evaluate reasons to remain in the position and profession versus finding other less taxing opportunities. 15 

The Measure of Moral Distress for Health Care Professionals (MMD-HP) was used to explore MD among RNs in our hospital. 7 The MMD-HP 7 was adapted from the Moral Distress Scale-Revised. 27 Revisions by Epstein et al 7 included enhancements in assessing team-level and system-level root causes of MD.

The main aim of this study was to explore the level of MD among RNs in our practice environment and inform our nurse leaders about the impact of MD on nursing turnover.

This study used an exploratory design to measure the frequency of MD and the level of MD related to situations RNs encounter. A global email was sent to 359 RNs in our hospital inviting them to complete the online, anonymous survey. Data were collected from 129 RNs who completed the survey. In addition to the MMD-HP, demographic data were collected. Targeted participants included RNs who were currently employed and between the ages of 18 and 89 years. Those who did not hold a valid RN license or did not meet the age requirement were excluded. The electronic survey software link was open between July 2020 and August 2020, only a few months into the COVID-19 pandemic within our geographic region. Reminders were sent every 3 weeks to encourage a higher response rate.

The MMD-HP is a valid and reliable tool (Cronbach α = 0.93) comprising 27 Likert-type items to measure MD for health care providers. 7 The types of items include how often a situation occurs in practice (frequency: 0 = never, 4 = very frequently) and how distressing the situation is when it occurs (distress: 0 = none, 4 = very distressing). To generate a composite item score, the frequency score and distress scores for each item are multiplied, with item scores ranging from 0 to 16. The composite item scores are summed to obtain a total MD composite score. The resulting score based on 27 items ranges between 0 and 432. The higher the composite score totals, the higher the MD the provider experiences. 7 Example scale items measuring both frequency and level of distress include "Experience lack of administrative action and support for a problem that is compromising patient care" and "Fear retribution if I speak up." 7

We used the Statistical Package for the Social Sciences, version 24.0 (IBM Corp, Armonk, New York) to characterize the study sample and explore group differences. Inferential statistical assumptions were checked before performing analyses. Independent samples t tests explored whether there was statistical evidence that the MMD-HP item and total score means differed significantly based on the responses of 107 direct care nurses, 41 of which were thinking about leaving and 66 were not.

Next, we performed an exploratory factor analysis (EFA) to provide orderly simplification of interrelated measures. Specifically, the EFA was used to explore the possible underlying 30

Journal of Nursing Care Quality factor structure of the set of 27 observed composite score variables without imposing a preconceived structure on the outcome. We used knowledge of the theoretical constructs and expert clinical face validity assessment to explore factor structure. We identified 2 factors according to the common item themes: (1) patient quality and safety and (2) work environment. Finally, to test the predictive ability of our 2 new factors, we ran a stepwise binary logistic regression examining the odds of RNs answering yes on the intent-to-leave question. For interpretability, we categorized the participant answers on the 2 factors as either average or below = 0 or above average = 1. We derived the average values by using frequency distributions (patient quality and safety average for this sample = 5; work environment average for this sample = 4).

The current study was approved by the local institutional review board.

Respondents were predominately female (90.7%) and White (92.5%), with 29% reporting nursing as a second career. The mean age for respondents was 44. There were statistically significant differences in MD composite scores based on whether the respondent provides direct care at least 51% of the time (n = 107) and those who do not (n = 22). For that reason, the following analyses were done only with respondents who provide direct care at least 51% of the time. Scale reliability for this study was excellent with the Cronbach α = 0.92, consistent with the literature. 7

Intent to leave due to moral distress Significant differences between those who reported intent to leave versus those who did not are presented in the Table. Our results found that respondents who considered leaving their positions had significantly higher (t = −5.62, P < .001) MMD-HP mean composite scores (n = 41, M = 170.85) than those who did not (n = 66, M = 100.00).

We performed a parallel 1-to 3-factor EFA using an oblique rotation method allowing for correlation between factors. Our criteria for model consideration were eigenvalues larger than 1 and pattern matrix coefficients that round up to 0.7 or greater. We tested 1-factor, 2-factor, and 3-factor solutions, with a 1-factor solution yielding the worst result due to items of the scale not correlating with each other. The 3-factor solution had 2 acceptable factors and 1 factor with items that did not fit together well. Therefore, we chose the 2-factor solution as it contained pattern matrix coefficients that met our inclusion criteria (see Supplemental Digital Content, Table 1 , available at: http://links.lww.com/ JNCQ/A903).

Our models were adjusted for age and years of nursing experience due to their significant relationship with our outcome on the binary level. In step 1, when considered together, age is not a significant predictor for the intent-to-leave question, while years of experience is (P = .02), with more experienced RNs having lower odds for selecting "yes" on intent to leave.

When adding patient quality and safety in step 2, we found that RNs who scored above average in MD due to perceived issues with patient quality and safety had 2.9 times the odds of replying that they are considering leaving their position due to MD (P = .019). The covariates are no longer statistically significant at step 2.

Finally, adding work environment in step 3 explained most of the variance in our model and the covariates and patient quality and safety are no longer significant predictors. In this final step, we found that RNs who score above average in MD due to perceived issues with work environment have 9.1 times the odds of replying that they are considering leaving their position due to MD (P < .001). Results of the final logistic regression are presented in Supplemental Digital Content, 

Our main aim was to assess MD within the nursing practice environment to help nurse leaders mitigate nursing turnover. The total score and individual items of the MMD-HP were significant predictors of RNs considering leaving their position. When looking at the item-level results, we found that our RNs often experienced MD when they feel pressured by family and/or physicians to carry out what they believe to be aggressive or unnecessary treatment. Moreover, many of the issues related to quality and safety were ethical in nature. These results suggest that our RNs may not be aware of our current ethics consultation processes. Further investigation into RNs' knowledge and use of this process may provide valuable insight into how to integrate ethics consultation into practice and reduce MD. We identified 2 main factors using EFAs: work environment and patient quality and safety. RNs who perceived their work environment as morally distressing had 9 times the odds of considering intent to leave their position compared with their corespondents. RNs who perceived our hospital's quality and safety practices as morally distressing had almost 3 times the odds of intent to leave. importance of work environment in RN retention. 20 Specifically, through the support of coworkers and nurse leaders, direct care RNs can learn and grow professionally and develop a sense of belongingness at work. 11 A work environment where MD is minimized encourages RNs to feel united, share experiences, and learn coping strategies from each other and fosters an environment where the feelings of powerlessness shift and RNs begin to thrive. 10 To our knowledge, this is the first study examining MD and RN turnover during the COVID-19 pandemic. The pandemic contributed to environmental constraints within our practice environment beyond our control, yet the relationships between the variables, MD and intent to leave, were like those of studies conducted before the pandemic. 7, 9 It is unknown whether our staff experienced higher MD due to the pandemic or whether MD develops over a longer period and thus is less vulnerable to external threats such as a global pandemic. Therefore, we recommended a longitudinal evaluation of MD for RNs within our hospital along with 11 more hospitals within our health system.

This study had a few limitations. A convenience sample of RNs employed at one hospital may limit the generalizability of the findings. While the demographics were reflective of the RNs at our hospital, most respondents were White and female. Future research should allow for a more diverse RN population across geographic regions. Also, a larger sample confirmatory factor analysis (CFA) is needed to verify the 2-factor structure identified by the EFA performed in this study. The CFA would allow the researchers to test the hypothesis that a relationship between observed variables and their underlying latent constructs exists.

Our nurse executive reviewed study results and provided insightful action plans to work toward an enhanced healthy work environment. Aligned with the American Nurses Credentialing Center, 28 our nurse executive planned individual meetings with RNs to address resource adequacy, practice autonomy, quality of care, leader responsiveness, interprofessional relationships, professional development, and RN-to-RN collegiality. During those conversations, our nurse executive explored areas of MD and communicated management strategies while ensuring a safe and nonjudgmental space. Staff were encouraged to contact the hospital ethics committee when an MD situation arises. Trained ethicists are on call 24/7 to help nurses explore their feelings and discuss solutions.

The nurse executive worked to ensure critical resources are readily available upon request, especially regarding personal protective equipment during the pandemic. Leveraging additional support staff to enhance the time RNs are available to engage each patient was a priority. This study highlighted concerns with patient quality and safety providing an opportunity for staff to become more engaged in ethical education and consultation. In late 2020, the nurse executive began check-in and stay interviews individually with new RNs to gain insight into experiences and maintain a transparent transformational leadership.

In conclusion, with the identification that the work environment has a high impact on RN retention, nurse leaders can work on additional support methods for their RNs. Interventions can be implemented to reduce the frequency and level of MD. Moreover, nurse leaders can assist with sustainability to improve the work environment by offering additional support to help RNs cope with moral dilemmas routinely experienced in their practice. Employee assistance programs can encourage RNs to communicate their feelings through difficult ethical decisions, balancing patient care demands while managing their feelings.

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