Literature DB >> 35947610

Missed nursing care before and during the COVID-19 pandemic: A comparative cross-sectional study.

Othman A Alfuqaha1, Fadwa N Alhalaiqa2, Mohammad K Alqurneh1, Ahmad Ayed3.   

Abstract

AIM: This study aimed to compare perception of nurses about missed care for the patients before and during the coronavirus disease 2019 (COVID-19) in Jordan. It also examined how nurses differed in terms of the type of missed care and the factors that contributed to it before and during the COVID-19 pandemic. Additionally, socio-demographic factors, including gender, educational level, length of clinical experience, work position, age, and type of shift, were examined to evaluate their association with missed nursing care.
BACKGROUND: Missed nursing care refers to omission of any aspect of required patient care. Missed care lowers patient satisfaction and also leads to adverse hospital outcomes.
METHODS: We adopted a cross-sectional design among 260 nurses working in medical/surgical wards and intensive care units. Views of 130 nurses before COVID-19 were compared with views of 130 nurses during the COVID-19 pandemic. We used the Arabic version of the MISSCARE survey. Data were collected between November 2019 and May 2020.
RESULTS: During COVID-19, nurses had significantly higher satisfaction levels and lower levels of absence and intention to leave than nurses before the COVID-19 pandemic. Differences were observed between nurses' perceptions of missed care before and during the COVID-19 pandemic. It was observed that missed nursing care increased during COVID-19. The inadequate number of staff nurses was the main reason for missed care activities among both groups. Additionally, age and shift type were significantly associated with an increased reason for missed nursing care among both groups. CONCLUSION AND IMPLICATIONS FOR NURSING: Nurses reported higher satisfaction levels and fewer absences and planned departures during this period. Nurse managers should pay attention by maintaining high satisfaction levels and formulating appropriate policies to reduce missed care levels and thus improve patient care quality.
© 2022 International Council of Nurses.

Entities:  

Keywords:  COVID-19; MISSCARE survey; missed care; nurses; reasons for missed care; satisfaction

Year:  2022        PMID: 35947610      PMCID: PMC9538371          DOI: 10.1111/inr.12795

Source DB:  PubMed          Journal:  Int Nurs Rev        ISSN: 0020-8132            Impact factor:   3.384


INTRODUCTION

Quality nursing care is an essential element for patient safety, as sub standard nursing care directly contributes to adverse effects for patients (Keogh, 2013). Missed care has been associated with preventable adverse events (Henderson et al., 2017; Kalisch & Xie, 2014). Missed nursing care have a negative impact not only on the quality of health care but also on patient outcomes such as patient satisfaction and readmission (Kalisch & Xie, 2014). Missed nursing care is demonstrated to have a tremendous impact on nurses’ health, job commitment, and personal lives and can result in psychological burnout to a certain extent (Alfuqaha et al., 2019; Jiang et al., 2017). Therefore, missed nursing care has become a major hospital problem requiring urgent attention from decision‐makers. Missed nursing care can be illustrated by unfinished duties, delayed and ineffective care that is mainly related to workplace factors, personal factors, and job demand resources (Jones et al., 2015). According to the previous study, there are three reasons for missed nursing care. The reasons include labor resources, material resources, and communication (Kalisch et al., 2012a). Other reasons for missed nursing include issues related to hospital infrastructure, ward working environment, insufficient staffing, time pressure, and excessive hours per shift (Chegini et al., 2020). Workplace factors such as resource level, work system, and head nurse leadership have the greatest impact on missed nursing care (Jangland et al., 2018). Previous studies have linked the socio‐demographic factors of nurses with missed nursing care. These factors included gender, age, qualification, work position, and length of clinical experience (Blackman et al., 2018). However, the effect of these factors on missed nursing care during the COVID‐19 pandemic has not yet been investigated. Quality nursing care for COVID‐19 patients is a great challenge (Kaltwasser et al., 2021). The patients need experienced and competent nurses to provide safe care and ensure that necessary services and equipment are available (Ki et al., 2020; Wang et al., 2020). COVID‐19 contributed to additional workload and psychological challenges resulting in increased risk of missed nursing care. Several studies addressed missed nursing care before the COVID‐19 pandemic (Cho et al., 2020; White et al., 2019). However, little attention has been paid to missed care during COVID‐19.

Aim

The current study aimed to compare the nurses' perceptions of missed patient care before and during the COVID‐19 pandemic in Jordan. It also aimed to comprehensively examine the relationship between missed nursing care and other factors such as job satisfaction, absence, and plans of leaving the current position. Socio‐demographic factors such as gender, educational level, length of clinical experience, work position, age, and the type of shift were also examined to assess their association with missed nursing care.

METHODS

Study design

The present study adopted a cross‐sectional design to compare the nursing perception of missed care and its factors for the patients before and during the COVID‐19 pandemic. We used the STROBE checklist (22 items) to ensure that we had all the necessary information.

Participants

We conducted the current study among nurses’ population working in a tertiary hospital in Amman, the capital of Jordan. The hospital provides a wide range of services and employs 900 nurses who work in medical/surgical wards, intensive care units (ICUs), operation rooms, outpatient clinics, and nurse management offices. We conveniently selected nurses who worked at medical/surgical wards and ICUs. A total of 500 nurses were working in the selected departments. This study excluded nurses who worked in outpatient clinics, operating rooms, and nurse management offices, such as supervisors and managers. We needed a minimum of 100 nurses to meet the sample size requirement (Hair et al., 2014). Considering the dropout rate, we distributed 300 self‐administered questionnaires at different times (150 vs. 150) to achieve the required sample size. We divided participants into two groups. The first group was from November 2019 to January 2020, and a total of 150 nurses were conveniently surveyed. In Jordan, no cases of COVID‐19 were reported during this period (WHO, 2020). The number of returned valid surveys for analysis was (N = 130), with a response rate of 86.7%. One hundred and fifty self‐administered surveys were also distributed in the second group from March 2020 to May 2020, since the first COVID‐19 case in Jordan was reported in March 2020 (WHO, 2020). The number of returned valid surveys for analysis was (N = 130), with the same response rate as the first group.

Data collection

Invitation letters containing the researchers’ contact details were distributed in the selected departments to explain the purpose of the study. The survey consisted of socio‐demographic factors such as gender, educational level, length of clinical experience, work position, age, and type of shift and background variables such as job satisfaction, absence, and plans of leaving the current position, as well as an Arabic version of the MISSCARE survey. The self‐reported MISSCARE survey was distributed in the early morning and during break time. The researchers obtained written informed consent from participants and assured them that they could withdraw from the study at any time and that their data would remain anonymous and confidential. In both groups, completed surveys were returned to the nursing office in a special box. Questionnaires with missing information were omitted from analysis.

Study tool

Demographic and background variables

Participants were asked to fill in socio‐demographic information such as their gender, educational level, length of clinical experience, work position, age, and type of shift. The background variables of job satisfaction, absence, and plans of leaving the current position were also explored. Job satisfaction was measured using three items that assessed satisfaction with position, profession, and teamwork. Satisfaction with current position implied that nurses were satisfied with their current position and felt valued. Also, satisfaction with the profession involved being a registered nurse or assistant nurse. Satisfaction with teamwork referred to feeling fulfilled among team members within same units or departments. The job satisfaction items were assessed on a 5‐point Likert scale ranging from 5 “Very satisfied” to 1 “Very dissatisfied.” Additionally, participants were asked to indicate their absence levels, from 1 day to more than 6 days. Finally, the plans of leaving the current position item were: no plans of leaving, plans of leaving within the next 6 months, and plans of leaving within the following year.

MISSCARE survey tool

The study used the MISSCARE survey tool, which was developed by Kalisch (2009). The MISSCARE survey has shown good psychometric properties globally in different languages (Nymark et al., 2020; Sönmez et al., 2020). The researchers translated the MISSCARE survey into Arabic language, examined its psychometric properties, and found that the translated MISSCARE survey has good psychometric properties among Jordanian nurses. The translated MISSCARE survey is being considered for publication elsewhere. Therefore, the Arabic version of the MISSCARE survey was used. Cronbach's alpha was 0.92 for all items in the Arabic version of the MISSCARE survey. The MISSCARE survey tool consisted of a 41‐item divided into two sections. The first section contained 24 items and was concerned with missed nursing care activities. The respondents were asked to answer the first section on a 5‐point Likert type scale ranging from 5 “Never missed” to 1 “Always missed.” Lower scores indicate higher levels of missed care based on overall levels using cutoff criteria: low missed care from 3.68 to 5; moderate missed care from 2.34 to 3.67 and high missed care from 1 to 2.33. The second section discussed the factors that contribute to missed nursing care activities. This section consisted of the following dimensions: communication/support subscale, which comprise nine reasons that assess the interrelationships with team members; material resources subscale, which comprised three reasons that assessed the inadequate material in hospitals; labor resources subscale, which included five reasons that assess the increase in patient volume and heavy activities. The second section utilized a 4‐point Likert type scale, ranging from 4 “Significant reason” to 1 “Not a reason for missed care.” Higher scores indicate significant levels for reasons of missed care. The following range was considered as nonsignificant reason scores: 1.00–2.50; meanwhile, the significant reason scores ranged from 2.51 to 4.00.

Ethical considerations

The Jordanian hospital's institutional review board approved this study (No. 10/2018/5746) to collect data from nurses. The study tool was accompanied with a consent form that included a clear statement about free participation and withdrawal without penalty. The participant's rights (e.g., confidentiality, privacy) were confirmed. The collected data were password‐protected and stored using an ID number on the principal's investigator desktop.

Data analysis

The normal distribution of data was verified by the Kolmogorov–Smirnov test. Pearson's chi‐square and descriptive statistics were performed to examine missed nursing care before and during the COVID‐19 pandemic. Next, an independent sample t test was used to explore the differences in missed nursing care, reasons for missed care, and background variables such as job satisfaction, absence, and plans of leaving the current position. Finally, binary logistic regression analysis was performed with nurses’ reasons for missed care (significant reason, not a reason).

RESULTS

Demographic and background variables

Valid self‐administered surveys were completed by 260 nurses in the selected hospital. The Kolmogorov–Smirnov test showed that the data follow a normal distribution since there were no significant differences between the two samples of nurses. Table 1 also displays the sample characteristics of the selected group of nurses. The percentages of nurses between 25 and 34 years old in both groups exceeded two thirds. Fifty percent of nurses in both groups were female, held bachelor's degrees, worked on the medical/surgical floor, and had a rotation between A (7 a.m.–3 p.m.), B (2 p.m.–9.30 p.m.), and C‐shift (9 p.m.–7.30 a.m.).
TABLE 1

Demographic and background variables of the study sample (N = 260)

VariablesDescriptiveBefore COVID‐19 (n = 130) Frequency (%) or M ± SDDuring COVID‐19 (n = 130) Frequency (%) or M ± SDChi‐square value/t test P value
GenderMale61 (46.9)46 (35.4)80.520.31
Female69 (53.1)84 (64.6)
Educational levelDiploma degree27 (20.8)42 (32.3)
Bachelor's degree92 (70.8)80 (61.5)152.930.42
Postgraduate11 (8.5)8 (6.2)
Length of clinical experience (years)<1 year5 (3.8)4 (3.1)
1–5 years43 (33.1)56 (43.1)
>5 to 10 years54 (41.5)50 (38.5)247.290.15
>10 years28 (22.3)20 (15.4)
Work positionFloor (medical/surgical)102 (78.5)92 (70.8)78.760.36
Intensive care units28 (21.5)38 (29.2)
Age≤ 24 years9 (6.9)15 (11.5)
25–34 years107 (82.3)94 (72.3)139.380.72
35–44 years14 (10.8)21 (16.2)
Shift typeA‐shift (7 am–3 pm)44 (33.8)70 (53.8)229.190.41
B‐shift (2 pm–9.30 pm)13 (10)11 (8.5)
C‐shift (9 pm–7.30 am)6 (4.6)7 (5.4)
Rotates between (A, B, C)67 (51.5)42 (32.3)
Satisfaction levelQ1: Position3.06 ± 0.983.51 (0.96)
Q2: Role3.20 ± 0.933.62 (0.86)4.32<0.001***
Q3: Profession3.18 ± 0.953.55 (0.94)
AbsenceNon3.76 ±0.743.44 ± 0.74
1 day3.53 ± 0.703.47 ± 0.51
2–3 days3.51 ± 0.833.05 ± 0.833.29<0.001***
4–6 days3.47 ± 0.733.47 ± 0.63
More than 6 days4.14 ± 0.783.56 ± (‐)
Plans for leaving the current position1. Next 6 months3.26 ± 0.683.03 ± 0.83
2. Next year3.45 ± 0.693.44 ± 0.583.31<0.001*** *
3. No plans for leaving3.84 ± 0.733.41 ± 0.74

Abbreviations: n, number; Q, question; M ± SD, mean ± standard deviation.

P < 0.001.

Demographic and background variables of the study sample (N = 260) Abbreviations: n, number; Q, question; M ± SD, mean ± standard deviation. P < 0.001. The results of the t test indicated a significant difference (P < 0.001) between the total score of satisfaction level, absence level, and plans of leaving the current position level among nurses before and during the COVID‐19 pandemic (Table 1). Nurses during the COVID‐19 pandemic were more satisfied, had lower absenteeism, and had lower turnover rates.

Differences in missed nursing care between the two nurses’ samples

Perceived missed care of nurses before and during the COVID‐19 pandemic is offered in Table 2. The t test exhibited a significant difference (P < 0.001) in missed nursing care activities between both nurses’ groups. The percentage of missed nursing care activities during COVID‐19 was 32.6%, while it was 22.8% before COVID‐19. During the COVID‐19 pandemic, more than three quarters (78%) of nurses expressed many significant reasons for missing care, compared with 72% before COVID‐19. The total score of the reasons for missed nursing activities during COVID‐19 was statically higher (P < 0.001) than before the COVID‐19 pandemic.
TABLE 2

Differences in missed nursing care among both samples (N = 260)

VariablesSample 1M ± SD (%)Overall levelSample 2M ± SD (%)Overall level t test P value
Missed nursing care activities3.68 ± 0.75 (22.8%)Low missed care3.37 ± 0.72 (32.6%)Moderate missed care3.40<0.001***
Reasons of missed nursing care activitiesCommunication2.74 ± 0.60Significant reason3.02 ± 0.54Significant reason3.95<0.001***
Material resources2.85 ± 0.78Significant reason3.19 ± 0.63Significant reason3.87<0.001***
Labor resources3.20 ± 0.62Significant reason3.26 ± 0.55Significant reason0.830.41
Total2.90 ± 0.55 (72%)Significant reason

3.12 ± 0.49 (78%)

Significant reason3.41<0.001***

Sample 1: Before COVID‐19 (n = 130). Sample 2: During COVID‐19 (N = 130). Overall level category: low level from 3.68 to 5; moderate level from 2.34 to 3.67; and high level from 1 to 2.33. Abbreviations: M ± SD: Mean ± standard deviation.

P < 0.001.

Differences in missed nursing care among both samples (N = 260) 3.12 ± 0.49 (78%) Sample 1: Before COVID‐19 (n = 130). Sample 2: During COVID‐19 (N = 130). Overall level category: low level from 3.68 to 5; moderate level from 2.34 to 3.67; and high level from 1 to 2.33. Abbreviations: M ± SD: Mean ± standard deviation. P < 0.001. We also examined the lowest and highest average scores of all items in the MISSCARE survey. The highest and lowest items of missed care activities were surprisingly the same before and during the COVID‐19 pandemic. The item (Ambulation three times per day or as ordered) exhibited the highest average score, and the item (Bedside glucose monitoring as ordered) had the lowest average score. Also, the item (Inadequate number of staff) is the top reason for missed nursing care activities before and during the COVID‐19 pandemic. The items (Caregiver off unit or unavailable) and (Nursing assistant did not communicate that care was not provided) are the lowest reason for missed care before and during the COVID‐19. Finally, statistical differences (P < 0.001) were discovered in 19 items of the missed care survey. For more detailed results, see Appendix A.

Factors associated with missed nursing care

To evaluate the association of socio‐demographic factors including gender, educational level, length of clinical experience, work position, age, and shift type with the reason of missed nursing care (significant reason, not a reason), binary logistic regression analysis was performed with both nurses’ groups before and during the COVID‐19, and Table 3 shows the result.
TABLE 3

Binomial regression analysis for reason of missed nursing care among both samples (N = 260)

VariablesBefore COVID‐19 Adjusted OR (n = 130) (95% CI) P valueDuring COVID‐19 (n = 130) Adjusted OR (95% CI) P value
Gender
Male1.00 (reference)1.00 (reference)
Female1.53 (0.57–4.13)0.391.20 (0.34–4.25)0.77
Educational level
Diploma degree1.00 (reference)1.00 (reference)
Bachelor's degree0.34 (0.02–5.05)0.430.71 (0.05–11.14)0.81
Postgraduate0.38 (0.03–4.67)0.453.35 (0.25–45.62)0.37
Length of clinical experience (years)
<1 year1.00 (reference)1.00 (reference)
1–5 years0.04 (0.01–0.71)0.02* 0.32 (0.01–7.28)0.47
>5–10 year0.09 (0.01–0.60)0.01** 0.65 (0.09–4.59)0.67
>10 years0.23 (0.04–1.38)0.111.15 (0.17–7.98)0.88
Work position
Floor (medical/surgical)1.00 (reference)0.381.00 (reference)0.40
Intensive care units0.52 (0.12–2.31)0.57 (0.15–2.15)
Age
≤ 24 years1.00 (reference)1.00 (reference)
25–34 years66.51 (3.81–1161.91)0.01** 10.72 (0.55–209.03)0.12
35–44 years14.65 (3.10–69.21)0.01** 9.70 (2.07–45.46)0.001***
Shift type
A‐shift1.00 (reference)1.00 (reference)
B‐shift0.21 (0.06–0.67)0.01** 8.65 (1.78–42.12)0.001***
C‐shift0.47 (0.07–2.95)0.421.65 (0.22–12.33)0.62
Rotates between (A, B, C)0.15 (0.02–1.04)0.05* 1.31 (0.15–11.48)0.81

Dependent variable: reason for missed nursing care. Abbreviations: P value of the Wald Chi‐square statistics.

P < 0.05.

P < 0.01.

P < 0.001. 95% CI = 95% confidence interval.

Binomial regression analysis for reason of missed nursing care among both samples (N = 260) Dependent variable: reason for missed nursing care. Abbreviations: P value of the Wald Chi‐square statistics. P < 0.05. P < 0.01. P < 0.001. 95% CI = 95% confidence interval. We used the following variables as reference levels, length of experience less than one year, age variable less than or equal to 24 years, and work type of A‐shift. The results revealed that the following were significantly associated with an increased reason for missed nursing care before the COVID‐19 pandemic including 1–5 years’ length of experience (odds ratio [OR] 0.04, 95 confidence interval [CI] 0.01–0.71, P = 0.02), 5–10 years’ length of experience (OR 0.09, CI 0.01–0.60, P < 0.01), age between 25 and 34 (OR 66.51, CI 3.81‐1161.91, P < 0.01), age between 35 and 44 years (OR 14.65, CI 3.10–69.21, P < 0.01), B‐shift work type from 2 p.m. to 9.30 p.m. (OR 0.21, CI 0.06–0.67, P < 0.01); and rotates between types of work A, B, and C (OR 0.15, CI 0.02–1.04, P = 0.05). During the pandemic period, age between 35 and 44 years (OR 9.70, CI 2.07–45.46, P < 0.001) and B‐shift work type (OR 8.65, CI 1.78‐42.12, P < 0.001) were significantly associated with an increased reason for missed nursing care (Table 3).

DISCUSSION

This study provides evidence of the perceived level of missed care and highlights the nuances of the differences in missed nursing care activities that affected nurses before and during the COVID‐19 pandemic. In the present study, the researchers assessed the differences between nurses before and during COVID‐19 in relation to missed nursing care, satisfaction level, absence level, and plans of leaving a profession level, and the results revealed important differences between the two groups. Our results indicate that nurses had higher satisfaction levels during the COVID‐19 pandemic than before. When confronted with a stressful situation, the increase in the satisfaction level among nurses depends on several factors, such as less workload and high commitment (Alfuqaha et al., 2020; Zeleníková et al., 2019a). Thus, outbreaks could be said to have a positive impact on nurse satisfaction. This study disagrees with a recent study that found high job dissatisfaction among healthcare providers, claiming that satisfaction depends on management's appreciation and communication during the COVID‐19 outbreak (Afulani et al., 2021). The present study found that nurses, during the pandemic, reported fewer absences and planned departures than nurses before the COVID‐19 pandemic. This demonstrates the impact of the pandemic on reducing nurse absenteeism. This could be rationalized by feeling more sense of commitment and responsibility toward the community during the critical situation of spreading COVID‐19 cases. In contrast, a recent study found that the COVID‐19 pandemic has negative consequences on job satisfaction, teamwork climate, and work conditions among Polish nurses (Malinowska‐Lipień et al., 2022). Our results revealed that percieved missed nursing care activities before and during the COVID‐19 pandemic by Jordanian nurses were relatively low compared to the Czech Republic and Slovakian nurses (Zeleníková et al., 2019a), Turkish nurses, and US nurses (Kalisch et al., 2012a). This might have been due to the  differences in participants’ demographic characteristics in both studies. Additionally, our participants established a balanced level of satisfaction, which was negatively associated with the missed care activities, which increased when nurses reported less satisfaction (Schmidt, 2018; Zeleníková et al., 2019b). Low perceived levels of missed nursing care may be associated with fear of ethical and legal responsibilities and obligations that prevented nurses from reporting the omission or missing nursing care or related to family members who provide basic nursing care. The present study highlights differences in perceptions of missed care between nurses before and during the COVID‐19 pandemic. It was found that participating nurses during the pandemic obviously reported moderate missed nursing care activities (32.6%) compared with a sample of nurses before the pandemic (22.8%). Potential explanations for more missed care during an outbreak include difficult situations caused by not controlling outbreaks and increased nurse exposure to critical situations, resulting in many nurses failing to provide the most effective care for patients. These results are also similar to those found before the COVID‐19 outbreak, where nurses in the USA had higher levels of missed care (56.4%) due to job dissatisfaction and burnout (Clark & Lake, 2020). Psychological burnout negatively influences nurses’ psychological status (Alfuqaha & Alsharah, 2018). Interestingly, a quantitative study in Sweden revealed that missed nursing care during the COVID‐19 pandemic has not differed from the reference sample (Vogelsang et al., 2021). This similarity was related to maintaining the nurse‐to‐patient ratio, patient dependency levels, and meeting staff needs. A review study of 14 articles conducted by Ogboenyiya et al. (2020) found several associated factors with missed nursing care such as excessive work and nurses’ characteristics. We found that 70% of nurses reported significant reasons for missed care before COVID‐19, compared with 78% of nurses during the pandemic, with significant differences. The labor construct had the highest average score for missed nursing care among both groups, which is consistent with previous studies (Saqer & AbuAlRub, 2018). It is inevitable that the COVID‐19 pandemic would increase nurses’ workload due to an increased number of infected cases, staff shortage, and acuity of cases. This consequently could affect the type of services provided. Usually, nurses prioritize physiological needs over psychological needs (Jones et al., 2015), clearly represented in Abraham Maslow's pyramid of human needs. According to our qualitative data, the main reason for missed nursing care is staff shortage. This issue has been observed in previous studies (Kalisch et al., 2012c; Schmidt, 2018). Health management should seriously address this issue, especially during the crisis, to provide appropriate care and eliminate missed nursing care. On the other hand, the ambulation item had the highest score in missed nursing care activities, which is similar to previous studies (Chapman et al., 2017; Kalisch et al., 2012b; Smith et al., 2018). The main predictors of reasons for missed nursing care before the COVID‐19 pandemic were length of clinical experience, the B‐shift type of work, and age. Meanwhile, age and type of shift work were the predictors of missed care reasons during the COVID‐19 pandemic. Higher workloads and responsibilities in the B‐shift type of work represent higher missed nursing care among both groups, making nurses fall into mistakes. Nurses who worked on this shift had a higher ratio of getting missed care than those who worked in the morning (A‐shift), which is consistent with previous studies that found working on night shifts (e.g., B and C) increased the missed nursing care (Ball et al., 2014; Schmidt, 2018). Surprisingly, nurses from 35 to 44 years old have more missed care than other age categories in both groups. This could be due to interactions with other responsibilities and obligations (role in the family) or being concerned about their families becoming infected with COVID‐19. According to Longhini et al. (2021), as nurses age, their clinical experience increases, which is associated with fewer missed nursing care days. Previous studies have revealed other factors that lead to missed care before COVID‐19, such as gender and number of patients under care (Chegini et al., 2020), break time (Min et al., 2020), and less than five years of nursing clinical experience (Phelan et al., 2018).

Limitation

The current study findings are limited in that the data were collected from a single setting using self‐reported questionnaires, which may have serious implications concerning possible bias. Another limitation might come from nurses' willingness to reply in a manner that protects them from any obligations and in a way that is favorable to their management. The results of this study show the perceived levels, differences, and predictors of missed nursing care before and during the COVID‐19 pandemic, rather than causality, that should be overcome in future studies. We have translated the MISSCARE survey into Arabic, so its feasibility in responding to the biggest health emergencies, such as COVID‐19, remains to be tested. However, the results show a significant difference in the perception of missed care between the two samples of nurses.

CONCLUSIONS AND IMPLICATIONS FOR NURSING

During the COVID‐19 pandemic, nurses reported higher satisfaction levels and fewer absences and planned departures. Missed nursing care during the biggest health emergency in 2019 was noted; therefore, nurse managers should pay attention by maintaining high satisfaction levels, formulating appropriate policies, and preserving adequate staff nurses to eliminate/reduce missed care levels and consequently improve patient care quality. Identifying missed nursing care activities and reasons helps nurse leaders initiate special training programs for nurses to prevent them. Missed care is seen as an important source of patient mortality (Ball et al., 2018). Hence, assertive strategies by the directors should be adopted to improve adherence to nursing intervention policies. This study provides insights for further research on missed care during potential crises in the future.

CONFLICTS OF INTEREST

No conflict of interest has been declared by the authors.

FUNDING STATEMENT

This research received no specific grant from any funding agency in the public, commercial, or not‐for‐profit sectors.

AUTHORSHIP STATEMENT

Study design: OAA, AA, FNA; data collection: OAA, MKA; data analysis: OAA, FNA; study supervision: OAA; manuscript writing: OAA, MKA, AA, FNA; critical revisions for important intellectual content: OAA, FNA.

STATEMENT OF ETHICAL APPROVAL

The authors have sought permission from the Institution Review Boards of Jordan University Hospital (No. 10/2018/5746) to allow the collection of data from nurses.

RESEARCH STATEMENT

The research conforms to the provisions of the Declaration of Helsinki. All researchers gave informed consent for the research, and their anonymity was preserved.

PERMISSIONS STATEMENT

Permission has been received from the copyright holder to use the employed scale in this study.

RESEARCH REPORTING GUIDELINES EQUATOR

The authors adhere to an EQUATOR research reporting checklist and have been attached.
ItemsOrderBefore COVID‐19 (N = 130) M ± SDLevelOrderDuring COVID‐19 (N = 130) M ± SDLevel
Ambulation three times per day or as ordered13.23 ± 1.29Moderate missed care12.85 ± 0.89Moderate missed care
Mouth care23.26 ± 1.18Moderate missed care43.14 ± 1.07Moderate missed care
Turning patient every 2 hours33.28 ± 1.13Moderate missed care22.97 ± 0.99Moderate missed care
Patient teaching about illness, tests, and diagnostic studies43.30 ± 1.14Moderate missed care53.16 ± 1.05Moderate missed care
Emotional support to patient and/or family53.42 ± 1.15Moderate missed care33.09 ± 1.07Moderate missed care
Attend interdisciplinary care conferences whenever held63.46 ± 1.10Moderate missed care83.25 ± 0.98Moderate missed care
Setting up meals for patient who feeds themselves73.55 ± 1.01Moderate missed care113.34 ± 1.07Moderate missed care
Patient bathing/skincare83.58 ± 1.01Moderate missed care123.35 ± 1.07Moderate missed care
Assess effectiveness of medications93.58 ± 1.05Moderate missed care103.33 ± 1.07Moderate missed care
Assist with toileting needs within 5 minutes of request103.63 ± 0.99Moderate missed care93.30 ± 1.15Moderate missed care
Patient discharge planning and teaching113.65 ± 1.26Moderate missed care153.48 ± 1.17Moderate missed care
Medications administered within 30 minutes before or after scheduled time123.66 ± 1.16Moderate missed care163.49 ± 1.12Moderate missed care
Focused reassessments according to patient condition133.67 ± 1.12Moderate missed care73.20 ± 0.98Moderate missed care
Feeding patient when the food is still warm143.68 ± 1.12Low missed care63.19 ± 0.99Moderate missed care
Response to call light is initiated within 5 minutes153.71 ± 1.14Low missed care133.42 ± 1.15Moderate missed care
PRN medication requests acted on within 15 minutes163.77 ± 1.10Low missed care213.62 ± 1.05Moderate missed care
Skin/wound care173.79 ± 1.05Low missed care173.52 ± 1.16Moderate missed care
Patient assessments performed each shift183.81 ± 1.20Low missed care193.60 ± 1.14Moderate missed care
Full documentation of all necessary data193.97 ± 0.99Low missed care143.48 ± 1.06Moderate missed care
Hand washing203.97 ± 1.12Low missed care183.55 ± 1.24Moderate missed care
Vital signs assessed as ordered213.98 ± 1.13Low missed care233.78 ± 1.06Low missed care
IV/central line site care and assessments according to hospital policy224.02 ± 0.94Low missed care203.62 ± 1.01Moderate missed care
Monitoring intake/output234.09 ± 1.07Low missed care223.68 ± 1.16Low missed care
Bedside glucose monitoring as ordered244.09 ± 1.09Low missed care243.78 ± 1.11Low missed care
Total missed care Before 3.68 ± 0.75 (77.2%) Low missed care During 3.37 ± 0.72 (67.4%) Moderate missed care
ItemsOrderBefore COVID‐19 M ± SDOrderDuring COVID‐19 M ± SD
Inadequate number of staff13.51 ± 0.8013.68 ± 0.71
Heavy admission and discharge activity23.24 ± 0.8373.13 ± 0.86
Inadequate number of assistive and/or clerical personnel (e.g., nursing assistants, techs, unit secretaries, etc.)33.15 ± 0.7793.08 ± 0.80
Unexpected rise in patient volume and/or acuity on the unit43.13 ± 0.8363.15 ± 0.75
Urgent patient situations (e.g., a patient's condition worsening)53.02 ± 0.8333.25 ± 0.75
Supplies/ equipment not functioning properly when needed62.93 ± 0.9083.11 ± 0.78
Unbalanced patient assignments72.90 ± 0.86133.05 ± 0.83
Supplies/ equipment not available when needed82.85 ± 0.9243.17 ± 0.72
Tension or communication breakdowns with other ancillary/support departments92.82 ± 0.83103.07 ± 0.78
Other departments did not provide the care needed (e.g., physical therapy did not ambulate)102.81 ± 0.80162.95 ± 0.76
Medications were not available when needed112.80 ± 0.9723.28 ± 0.93
Tension or communication breakdowns with the medical staff122.79 ± 0.86113.05 ± 0.72
Lack of backup support from team members132.76 ± 0.88123.05 ± 0.76
Inadequate hand‐off from previous shift or sending unit142.71 ± 0.8653.16 ± 0.80
Tension or communication breakdowns within the nursing team152.70± 0.86143.04 ± 0.80
Nursing assistant did not communicate that care was not provided162.60 ± 0.86172.85 ± 0.78
Caregiver off unit or unavailable172.58 ± 0.92152.98 ± 0.83
Total reasons of missed care Before 2.90 ± 0.55 (72%) During

3.12 ± 0.49 (78%)

  33 in total

1.  Missed nursing care, staffing, and patient falls.

Authors:  Beatrice J Kalisch; Dana Tschannen; Kyung Hee Lee
Journal:  J Nurs Care Qual       Date:  2012 Jan-Mar       Impact factor: 1.597

2.  Nurse staffing, nurses prioritization, missed care, quality of nursing care, and nurse outcomes.

Authors:  Sung-Hyun Cho; Ji-Yun Lee; Sun Ju You; Kyung Ja Song; Kyung Jin Hong
Journal:  Int J Nurs Pract       Date:  2019-12-18       Impact factor: 2.066

3.  Association between nurses' breaks, missed nursing care and patient safety in Korean hospitals.

Authors:  Ari Min; Yea Seul Yoon; Hye Chong Hong; Young Man Kim
Journal:  J Nurs Manag       Date:  2019-08-19       Impact factor: 3.325

Review 4.  Errors of Omission: Missed Nursing Care.

Authors:  Beatrice J Kalisch; Boqin Xie
Journal:  West J Nurs Res       Date:  2014-04-29       Impact factor: 1.967

5.  The reliability and validity of the Turkish version of the MISSCARE Survey-Patient.

Authors:  Betül Sönmez; Öznur İspir; Buse Türkmen; Sergül Duygulu; Aytolan Yıldırım
Journal:  J Nurs Manag       Date:  2019-10-16       Impact factor: 3.325

6.  Nurse and nurse assistant perceptions of missed nursing care: what does it tell us about teamwork?

Authors:  Beatrice J Kalisch
Journal:  J Nurs Adm       Date:  2009-11       Impact factor: 1.737

7.  Inadequate environment, resources and values lead to missed nursing care: A focused ethnographic study on the surgical ward using the Fundamentals of Care framework.

Authors:  Eva Jangland; Therese Teodorsson; Karin Molander; Åsa Muntlin Athlin
Journal:  J Clin Nurs       Date:  2017-12-06       Impact factor: 3.036

Review 8.  Unfinished nursing care, missed care, and implicitly rationed care: State of the science review.

Authors:  Terry L Jones; Patti Hamilton; Nicole Murry
Journal:  Int J Nurs Stud       Date:  2015-02-23       Impact factor: 5.837

9.  Evaluating Polish nurses' working conditions and patient safety during the COVID-19 pandemic.

Authors:  Iwona Malinowska-Lipień; Tadeusz Wadas; Teresa Gabryś; Maria Kózka; Agnieszka Gniadek; Tomasz Brzostek; Allison Squires
Journal:  Int Nurs Rev       Date:  2021-10-29       Impact factor: 3.384

10.  Translation, culture adaption and psychometric testing of the MISSCARE Survey-Swedish version.

Authors:  Carolin Nymark; Katarina E Göransson; Fredrik Saboonchi; Ann-Charlotte Falk; Ann-Christin von Vogelsang
Journal:  J Clin Nurs       Date:  2020-10-01       Impact factor: 3.036

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  1 in total

1.  Missed nursing care before and during the COVID-19 pandemic: A comparative cross-sectional study.

Authors:  Othman A Alfuqaha; Fadwa N Alhalaiqa; Mohammad K Alqurneh; Ahmad Ayed
Journal:  Int Nurs Rev       Date:  2022-08-10       Impact factor: 3.384

  1 in total

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