Skip to main content

Knowledge, attitude, and use of protective measures against COVID-19 among nurses: a questionnaire-based multicenter cross-sectional study

Abstract

Background

During this pandemic, nurses have always been on the frontline and are probably the first healthcare providers to interact with patients presenting with symptoms of COVID-19. The main aim of this multicenter study was to assess knowledge, attitude, and use of protective measures against COVID-19 among nurses across the Occupied Palestinian Territory (oPt) during the ongoing pandemic.

Methods

This was a questionnaire-based multicenter cross-sectional study that was conducted in the period between October 2020 to December 2020. The study tool tested knowledge (8-item), attitude (2-item), and use of protective measures against COVID-19 (3-item) among nurses. Associations between nurses’ characteristics and their knowledge, attitude, and use of protective measures were investigated using Student’s t-test, Analysis of Variance, and Pearson’s correlations. To control potentially confounding variables, predictors of higher knowledge, attitude, and use of protective measures were identified using multiple regression analyses.

Results

The study tool was complete by 455 nurses. The mean of knowledge, attitude, and use of protective measures scores were 75.7% (SD:12.4%), 75.1% (SD: 17.7%), and 91.6% (SD: 18.2%), respectively. Multiple linear regression models showed that high knowledge was predicted by being female (p-value = 0.004) and self-rating social status as high (p-value = 0.005). Higher attitude was predicted by being female (p-value = 0.005), self-rating academic achievements as high (p-value = 0.007), and having contracted COVID-19 (p-value = 0.001). Higher use of protective measures was predicted by self-rating academic achievements as high (p-value = 0.010).

Conclusion

Findings of this study suggested that nurses in the oPt had high knowledge, relatively optimistic attitude, and appropriately used protective measures against COVID-19 during the ongoing pandemic. Knowledge, attitude, and use of protective measures among nurses should continuously be updated as information unfold during the ongoing pandemic. More efforts are still needed to ensure protection of healthcare providers including nurses from contracting COVID-19.

Peer Review reports

Introduction

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) or novel coronavirus 2019 (2019-nCoV) that causes coronavirus disease 2019 (COVID-19) was first reported in Wuhan, China in December 2019 [1]. Later, the disease spread to almost every country in the world. On March 11, 2020, the director-general of the World Health Organization (WHO) has declared the outbreak of COVID-19 as a global pandemic [2, 3]. As of December 14, 2020, there were 71,051,805 confirmed cases that included 1,608,648 loss of lives reported to the WHO on a global level [4]. On March 5, 2020, the first case of COVID-19 was diagnosed in the Occupied Palestinian Territory (oPt) [5]. The authorities in the oPt immediately responded by declaring a state of emergency and containment measures that included a lockdown, restricting movement, and closure of all non-essential establishments. As of December 14, 2020, there were 126,205 confirmed cases including 1107 deaths in the oPt according to the statistics of the Palestinian Ministry of Health [6]. With regard to the clinical features, COVID-19 does not seem very significantly different from severe acute respiratory syndrome (SARS) caused by (SARS-CoV). Studies have demonstrated that the fatality rate of COVID-19 was significantly lower than that of SARS (2.3% vs 9.5%) and that of Middle East respiratory syndrome (MERS) (2.3% vs 34.4%) [7]. On the other hand, the reproductive number (R0) and infection kinetics showed that SARS-CoV-2 was more contagious than SARS-CoV (2.0–2.5 vs 1.7–1.9) and MERS-CoV (2.0–2.5 vs < 1) [7, 8]. The main transmission routes of COVID-19 are airborne droplets, direct contact with an infected individual, direct contact with surfaces, and/or objects contaminated by body fluids of an infected person [9].

Because healthcare providers are in direct and prolonged contact with infected patients, they are at an increasing risk of contracting the disease. Infections, need for hospitalization, and/or isolation of healthcare providers have led to depleting the healthcare workforce in different countries around the world [10, 11]. During this pandemic, many healthcare facilities around the world faced shortage of healthcare providers, beds, personal protective equipment, and other medical supplies. As a result, healthcare providers had to face work overload and significant levels of burnout [12,13,14]. In all healthcare systems around the world, nurses are the providers of the largest volume of healthcare services to patients. During the pandemic, nurses in all healthcare system were on the front-line during the fight against COVID-19 [15]. Because nurses are the first healthcare providers to interact with the patients presenting with symptoms, they are at a higher risk for contracting the disease [15,16,17]. Studies from different regions of the world have reported healthcare centers being hit by COVID-19 and many healthcare providers including nurses testing positive [18, 19]. Therefore, there has been many calls to support nurses and protect them from contracting the disease [10, 11, 15, 20,21,22].

Recent studies assessed knowledge, attitude, and use of protective measures against COVID-19 among healthcare providers including nurses in different healthcare systems around the world [23,24,25,26,27,28,29,30,31,32]. A recent study in Jordan showed that the precautionary behavior among medical doctors during the ongoing COVID-19 pandemic was not optimal [33]. Another study showed that Jordanian nurses perceived their role as constructive during the ongoing pandemic [34]. The nurses supported and advocated for the patients and their caregivers despite the increasing workload during the ongoing pandemic.

It has been argued that adequate knowledge supported by positive attitude might lead to appropriate use of protective measures at work. This might subsequently decrease the risk of contracting the disease [35]. Probably, adherence of nurses to using protective measures against COVID-19 might be affected by their knowledge and attitude toward the disease. Therefore, assessing knowledge, attitude, and use of protective measures against COVID-19 among nurses could be of crucial importance. Additionally, understanding factors the affect knowledge, attitude, and use of protective measures against COVID-19 might be important for designing future interventions to protect nurses from contracting COVID-19 and other contagious diseases.

Little is known on knowledge, attitude, and use of protective measures against COVID-19 among nurses in the oPt. The main aim of this multicenter study was to assess knowledge, attitude, and use of protective measures against COVID-19 among nurses during this ongoing pandemic. Another objective was to identify the factors that could be associated with high knowledge, optimistic attitude, and adequate use of protective measures. As protecting healthcare providers, notably, nurses has become a priority, this study was conducted in the context of understanding the current behavior.

Methods

Study design and setting

The oPt has been affected by the ongoing COVID-19 pandemic since March 5, 2020. Later, cases were reported in all regions and governorates. This study was a cross-sectional survey that was conducted among nurses in the oPt from October 2020 to December 2020 utilizing a paper-based questionnaire. The study involved nurses from multiple healthcare centers/hospitals from all governorates in the oPt (Fig. 1). The study is reported in adherence to the guidelines for reporting cross-sectional studies in which a questionnaire was used as the study tool (Supplementary Table S1) [36,37,38].

Fig. 1
figure 1

Healthcare centers/hospitals from where the nurses were recruited (the map was adopted and modified from Wikimedia Commons that can be accessed from: http://commons.wikimedia.org/wiki)

Study participants and sampling

The target population in the present study was nurses who practice their jobs in various healthcare institutions in the oPt during the ongoing pandemic. A sample size calculator that is freely accessible online at (www.raosoft.com) was used to compute the sample size to be recruited in this study. Assuming a maximal population of 20,000 nurses practicing in the oPt during the ongoing pandemic, the sample size was computed at a 95% confidence interval (CI) with a margin of error of ≤5%. The sample size to be included in this study was estimated as 385 nurses. Quota sampling was used to recruit the study participants for this study. Quotas were proportionate to the population of each governorate. The latest statistics of the Palestinian Central Bureau of Statistics were used. To achieve the sample size to be included in this study, it was decided a priori that 500 nurses would be invited to participate in this study. The decision to invite this number of nurses for this study was informed by previous studies conducted among nurses and other healthcare providers [39,40,41].

The study objectives and methodology were explained to the nurses. The nurses had to provide their written informed consent before they could participate in this study. The inclusion criteria were: 1) a practicing nurse, 2) providing written informed consent to participate in this study, and 3) expressing willingness to respond to a questionnaire. Nurses who did not provide a written consent to participate in this study, and those who expressed unwillingness to respond to a questionnaire were excluded from the current study. Participation in this study was voluntary and the nurses were not offered any financial incentives as a compensation for their participation in the current study.

Assessment tool and validity

The study tool was adopted from previous studies that were conducted among healthcare providers [27, 42,43,44]. The paper-based questionnaire was handed to potential participants through a personal contact in the healthcare centers/hospitals. The nurses were instructed that the principal investigator and the personal contacts were available and could be contacted in case the nurses needed to clarify any point. In the first section of the questionnaire used in this study, nurses were asked to report their gender. Previous studies reported differences in knowledge, attitudes, and use of protective measures against COVID-19 among male and female healthcare providers [22, 27, 29, 41, 43, 45,46,47]. The nurses were also asked to self-rate their satisfaction with their financial status, social status, academic achievements, and perceived knowledge about COVID-19 using a Likert-scale of 1–3 (1 = low, 3 = high). Previous studies have shown that satisfaction with financial status, social status, and academic achievements were associated with knowledge, attitudes, and behaviors [48]. During the ongoing pandemic, many healthcare centers suffered shortages of personal protective equipment and healthcare providers had to purchase their own sanitizers, gloves, masks, and other personal protective equipment [49]. Probably, dissatisfaction with one’s financial status might influence purchasing sanitizers, gloves, masks, and other personal protective equipment. Lately, social networks have emerged as an important source of information to the general public as well as to healthcare providers. During the pandemic, the latest news and information about COVID-19 went viral on social media networks [50]. Probably, socially active nurses had larger social networks and could have received more information that influenced their knowledge, attitudes, and use of protective measures against COVID-19. Satisfaction with academic achievements and perceived knowledge about COVID-19 were collected to investigate if there was an association between these variables and performance of the nurses in knowledge, attitudes, and use of protective measures against COVID-19 items. The nurses were also asked to report whether they have contracted COVID-19 before or not. This variable was collected to investigate if contracting COVID-19 affected nurses’ knowledge, attitudes, and use of protective measures against COVID-19. Additionally, nurses were asked to provide their sources of information about COVID-19. In the second section, nurses were asked to respond to a knowledge test of 8 items on the causative agent of COVID-19, signs and symptoms, similarity with flu/cold, treatment, high risk patients, risk for infection, protection, and myths. On each item, the participants had to respond either by true, false, or I do not know. Attitude of nurses was measured using 2 items relevant to finally controlling COVID-19 and confidence in the health authorities in the oPt to win the battle against the disease. On each item, the participants had to choose either disagree, neutral/not sure, or agree. Use of protective measures was examined using 3 items relevant to using soap/sanitizer, physical distancing, and wearing personal protective equipment. On each item, the participants had to report their use either by yes which meant always or most of the time or no which meant not always/most of the time.

The study tool was assessed for face validity by 5 panelists. The panelists who were academician and practicing nurses who had Doctor of Philosophy (PhD) degrees in nursing (n = 3), an epidemiologist, and an infectious diseases specialist were asked to rate each item for suitability on a 5-point Likert-scale (1 = not suitable at all, 5 = highly suitable). All items used in the instrument was rated as either suitable or highly suitable by all panelists.

The questionnaire was pilot tested for readability and comprehension with 12 nurses who did not participate in the full study. In this pilot testing, the nurses read the questionnaire and provided their feedback on the clarity and comprehensibility of the items. Based on the feedback received from the nurses in this pilot, some items were reworded to enhance readability and comprehensibility. To ensure stability of scores over a short period of time, the test-retest method was used. A total of 25 nurses who did not participate in the larger study were asked to respond the questionnaire. After a period of 30 min to 1 h, the same 25 nurses were asked to respond to the questionnaire again. Pearson’s correlations were used to correlate the scores of the 25 nurses in the 2 rounds. It was decided a priori that a correlation coefficient of more than 80% would be needed to ensure stability of scores over the short time period that was let between the 2 rounds [51,52,53]. The Pearson’s correlation coefficient was 0.96 (95% CI of 0.91 to 0.98) with a p value of < 0.001 which indicated excellent stability of scores. The internal consistency of the items in the questionnaire was assessed using Cronbach’s alpha. Internally consistent tools have a Cronbach’s alpha of ≥0.70 [54]. When all items were included, the Cronbach’s alpha was 0.75. When the Cronbach’s alpha was computed for each domain separately, knowledge items had a Cronbach’s alpha of 0.76, attitude items had a Cronbach’s alpha of 0.97, and use of protective measures had a Cronbach’s alpha of 0.87. Which indicated that the items were internally consistent across all domains.

The items used in the knowledge test were psychometrically evaluated by their difficulty index as calculated by the ratios of correct answers for each item [53, 55, 56]. Questions were psychometrically attributed as: 1) 0% ≤ “very difficult” < 30%, 2) 30% ≤ “difficult” < 60%, 3) 60% ≤ “moderate” < 80%, 4) 80% ≤ “easy” < 90%, and 5) 90% ≤ “very easy” < 100% [53].

Data analysis

For each knowledge item, the nurses were awarded 1 point for each correct answer and 0 for each incorrect/I don’t know answer. Points were summed (possible points could range from 0 to 8) and were transformed into percentages of correct answers (possible percentages could range from 0 to 100%). Nurses could rate each attitude item on a Likert scale of 1–3. The possible raw ratings (scores) on the attitude items could range from 2 to 6. Attitude scores were transformed into percentages. The practice items were dichotomous (no/yes) and scores could range from 0 to 100%. Data obtained in this study were entered and analyzed statistically using IBM SPSS for Windows, version 21.0 (IBM Inc., Armonk, NY). As the sample size was more than 300, normality of distribution was assessed using absolute skewness and kurtosis values [57, 58]. To fulfil the criteria for normal distribution, the absolute skewness had to fall within the range of − 2.0 and + 2.0 and the absolute kurtosis had to fall within the range − 7.0 and + 7.0. As the criteria for normal distribution were fulfilled, the data were expressed as mean (SD). Differences between knowledge, attitude, and use of protective measures scores among the nurses were investigated using either Student’s t-test or Analysis of Variance (ANOVA) with Bonferroni test as appropriate. Knowledge, attitude, and use of protective measures scores were correlated using Pearson’s correlations. To control potentially confounding variables, predictors of higher knowledge, attitude, and use of protective measures were identified using multiple linear regression analyses. The variables with a p-value of < 0.25 in the student’s t-test, ANOVA, and/or Pearson’s correlations were retained in the multiple linear regression models. Enter method was used. For each multiple regression model, the adjusted R-squared with a p-value of < 0.05 was used to evaluate the goodness-of-fit. Tolerance and variance inflation factor (VIF) values were used to assess the multicollinearity of the regression models. Absence of multicollinearity was ensured by tolerance values of > 0.1 and VIF values of close to 1 [59, 60]. In this study, p-values of ≤0.05 were considered statistically significant.

Ethics approval and consent to participate

This study was conducted in adherence with the principles of the Declaration of Helsinki and the ethical principles followed at An-Najah National University. The current study received ethical approval from the Institutional Review Board (IRB) of An-Najah National University. The nurses provided written informed consent before they participated in the current study.

Results

Participants’ characteristics

In this, of the 500 nurses invited, 455 (91.0%) completed the questionnaire. The sociodemographic and other variables of the study participants are shown in Table 1. Of the study participants, 285 (62.6%) were female in gender, 385 (84.6%) self-rated their financial status as moderate or high, 430 (94.5%) self-rated their social status as moderately or highly satisfactory, 355 (78%) self-rated their academic achievements as moderately or highly satisfactory, and 425 (93.4%) self-rated their knowledge about COVID-19 as moderately or highly satisfactory. Of the participants, 40 (8.8%) reported that they have contracted COVID-19.

Table 1 Participants’ characteristics (n = 455)

Sources of knowledge about COVID-19

When the study participate were asked to provide their sources of knowledge about COVID-19, 415 (91.2%) of the participants indicated that they obtained information about COVID-19 through the internet/social media, 230 (50.5%) obtained information about COVID-19 through TV/radio. Friends/family/acquaintances, awareness brochure/leaflet, courses taught at the university, and newspapers/magazines were also cited as sources of information for the participants. Details of the sources of information about COVID-19 are provided in Table 2.

Table 2 Sources of information on COVID-19

Knowledge about COVID-19

The mean knowledge score was 75.7% (SD: 12.4%). Of the nurses, 140 (30.8%) scored 80% and above in the knowledge test. Of the 8 knowledge items, 4 (50.0%) were attributed as “very easy”, 1 (12.5%) was attributed as “easy”, 1 (12.5%) was attributed as “moderate”, and 2 (25.0%) were attributed as “difficult”. No item was attributed as “very difficult”. Of the participants, 390 (85.7%) could correctly identify the causative agent of COVID-19 disease as a virus, 445 (97.8%) could correctly identify the signs and symptoms of COVID-19 disease. However, only 100 (22.0%) of the participants knew that signs and symptoms of COVID-19 disease were similar to those of flu or cold, and 355 (78.0%) knew that there was no current effective treatment for COVID-19 disease. Of the participants, 410 (90.1%) could correctly identify immunocompromised and older individuals as have higher risk for infection and complications of COVID-19, 450 (98.9%) could identify crowded places as source of infection, and 415 (91.2%) knew that using masks appropriately can prevent the spread of COVID-19. However, only 155 (34.1%) knew that antibiotics cannot prevent transmission of COVID-19. Detailed answers of the participants are shown in Table 3.

Table 3 Answers of the participants on the 8-item knowledge test

Attitude of the participants with regard to COVID-19

The mean attitude score was 75.1% (SD: 17.7%). Of the nurses, 215 (47.3%) scored 80% and above on the attitude items. Of the participants, 290 (63.7%) were positive that COVID-19 will finally be successfully controlled and only 115 (25.3%) had confidence that the health authorities in the oPt would win the battle against COVID-19. Detailed responses of the participants are shown in Table 4.

Table 4 Attitude of the participants with regard to COVID-19

Use of protective measures against COVID-19

The mean use of protective measures against COVID-19 score was 91.6% (SD: 18.2%). Of the nurses, 430 (94.5%) scored 80% and above on the practice items. Of the participants, 415 (91.2%) reported using soap or sanitizer to wash their hands and faces, 395 (86.8%) avoided unnecessary close contact and practiced physical distancing, and 440 (96.7%) reported wearing necessary personal protective equipment during interaction with the patients. Detailed responses of the participants are provided in Table 5.

Table 5 Use of protective measures against COVID-19

Correlation between knowledge, attitude, and practice scores

Spearman’s correlations showed that there was a significant low positive correlation between knowledge scores and use of protective measures against COVID-19 (Pearson’s r = 0.27, p value < 0.001). Similarly, there was a significant low positive correlation between attitude scores and use of protective measures against COVID-19 (Pearson’s r = 0.13, p-value = 0.007). Details of the correlations between knowledge, attitude, and use of protective measures against COVID-19 are shown in Table 6.

Table 6 Correlations between knowledge, attitude, and practice scores

Differences in knowledge, attitude, and use of protective measures against COVID-19 among the nurses

Table 7 shows differences in knowledge, attitude, and use of protective measures against COVID-19 among the participants. In this study, knowledge scores were significantly lower for nurses who were male, self-rated their financial status as low, self-rated their social life as low, and self-rated their knowledge about COVID-19 as low compared to nurses who were female and those who self-rated their financial status, social life, and knowledge about COVID-19 differently (Table 7). Attitude scores were significantly lower for nurses who were female, having contracted COVID-19 before, self-rated their financial status as high, self-rated their academic achievements as low, and self-rated their knowledge about COVID-19 as high, compared to nurses who were male, have not contracted COVID-19, self-rated financial status, academic achievements, and knowledge about COVID-19 differently (Table 7). Use of protective measures scores were significantly lower for nurses who self-rated their academic achievements as low and self-rated their knowledge about COVID-19 as low compared to those who self-rated their academic achievements and knowledge about COVID-19 differently (Table 7).

Table 7 Differences in knowledge, attitude, and use of protective measures against COVID-19 among the nurses

Factors predicting higher knowledge, attitude, and use of protective measures

Multiple linear regression showed that higher knowledge scores were predicted by being female (p-value = 0.004) and self-rating social status as high (p-value = 0.005). Attitude scores were predicted by being female (p-value = 0.005), self-rating academic achievement as high (p-value = 0.007), and having contracted COVID-19 (p-value = 0.001) (Table 8). Other variables were no longer significantly associated. Use of protective measures scores were predicted by self-rating academic achievements as high (p-value = 0.010) (Table 8). Other variables were no longer significantly associated. The tolerance values of the regression models were > 0.1 (in the range of 0.88 to 0.99) and the VIF values were in close to 1 (in the range of 1.01 to 1.14). These values indicated absence of multicollinearity among the predictors.

Table 8 Multiple linear regression analyses of association between variables of the participants with knowledge, attitude, and use of protective measures against COVID-19

Discussion

In the present multicenter study, knowledge, attitude, and use of protective measures against COVID-19 among nurses practicing in healthcare centers/hospitals across the West Bank of the oPt during the ongoing pandemic were assessed. The study highlighted some high awareness areas, moderately optimistic attitude, and some adequate use of protective measures against COVID-19 among nurses. Additionally, predictors of high knowledge, positive attitude, and appropriate use of protective measures against COVID-19 were also identified. This is the first study among nurses with regard to COVID-19. The results of this study might shed light on the current behavior of nurses during the ongoing pandemic. Findings of this study are informative to decision makers in healthcare authorities and professional groups for designing measures and appropriate interventions to increase knowledge, positive attitude, and promote adequate use of protective measures against COVID-19 that might protect nurses from contracting COVID-19 during the ongoing global pandemic and other future viral pandemics.

Although it is difficult to define adequate knowledge about COVID-19, less than a third (30.8%) of the nurses scored 80% and above in the knowledge test. Findings of this study might indicate that knowledge about COVID-19 among the majority of the nurses was less than optimal. In this study, the nurses obtained their information on COVID-19 from different sources, notably, the internet/social media and TV/radio. Previous studies reported that healthcare providers including nurses were high users of different social media networks [61]. Healthcare providers including nurses often subscribe to official pages of professional health organizations/societies that could be news outlets for many nurses. Additionally, during the lockdown and “stay at home” orders, people including healthcare providers followed the latest news about the pandemic. Nurses are also increasingly using social media networks to communicate with their peers. Latest information with regard to COVID-19 often go viral on social media networks. Although the power of the internet in spreading knowledge was recognized long time ago, social media networks and different online learning platforms were extensively used during the pandemic by almost all educational institutions during the pandemic [62]. Decision makers might use these platforms or other suitable educational channels to increase knowledge of nurses with regard to COVID-19.

In this study, knowledge scores of female nurses were higher than those of male nurses. This probably meant that female nurses were more knowledgeable about COVID-19 compared to their male counterparts. In a study using similar knowledge items among pharmacists in Pakistan, female pharmacists reported higher knowledge scores compared to their male counterparts [27]. These findings were consistent with those reported in previous studies in which there were differences in knowledge between male and female nurses in different countries including knowledge about COVID-19 [22, 29, 41, 43, 45,46,47]. Traditionally, nursing was viewed as more suitable for female nurses, however, recent qualitative studies have reported that male nurses perceive the profession equally suitable compared to their female counterparts [63]. Probably, more studies are needed to understand why female nurses tend to score more in knowledge tests compared to male nurses and how to improve knowledge of male nurses in certain domains to thrive in their professional development. In this study, nurses who self-rated their social life as high had higher scores than nurses who did not self-rated their social life as high. Probably, socially active nurses have larger networks of acquaintances to interact with and exchange information about COVID-19. Such interactions might have expanded their knowledge of COVID-19 through knowledge seeking behavior and exposure to information about COVID-19 [64,65,66,67]. Findings of this study were consistent with those reported among healthcare providers [27, 29].

Less than half (47.3%) of the nurses who participated in this study scored 80% and above on the attitude items. Healthcare providers in Pakistan, China, and Jordan generally expressed positive attitudes with regard to containing the pandemic [27, 42, 43, 47, 68, 69]. Nurses who contacted COVID-19 were less positive in this regard compared to the nurses who did not contract the disease. In this study, severity of the symptoms experienced by those who contracted the disease was not assessed. This precluded investigating whether severe symptoms might have affected attitudes of the nurses or not. More than half of the nurses (63.7%) agreed that COVID-19 will finally be successfully controlled. When the nurses were asked about their confidence that health authorities in the oPt could win the battle against COVID-1, the majority of the nurses (74.8%) either disagreed or were neutral/not sure. In this study, the nurses seemed to have more faith in the global efforts to contain COVID-19 compared to the efforts of the health authorities in the oPt. Nurses who self-rated their academic achievements as high expressed more positive attitude compared to nurses who did not self-rate their academic achievements as high. During their academic program, nurses are offered courses in pathology, pharmacology, microbiology/immunology/virology, and public health. Additionally, nurses receive higher volumes of hospital-based training as they progress into later stages of their nursing program. Therefore, nurses are expected to gain more knowledge relevant to diseases, viruses, signs and symptoms of infections, treatments, disease related risk factors, and infection control techniques [70]. This might help developing positive attitude toward science-based containment efforts.

Use of protective measures against COVID-19 positively correlated with knowledge and attitude scores. Taken together, these results might at least in part indicate that good knowledge supported by positive attitude might promote adequate use of protective measures against COVID-19 among nurses. Probably, appropriately designed educational interventions might be helpful in improving awareness of nurses on COVID-19 and similar viruses, increasing positive attitude toward containment approaches, and promoting adequate use of protective measures against COVID-19. Additionally, improving financial and social life conditions of nurses could also improve knowledge, attitude, and use of adequate protective measures against COVID-19 and similar viruses.

Strengths and limitations of the study

This is the first study among nurses in general and among healthcare providers in the oPt with regard to their knowledge, attitude, and use of protective measures against COVID-19 during the ongoing pandemic. In this study, the response rate was 91.0%. The response rate obtained in this study was high when compared to response rates reported in previous studies in which a questionnaire was used as a study tool among healthcare providers including nurses [39, 41, 48, 52]. Interestingly, the number of nurses who responded to the questionnaire was larger than the sample size needed for this study. This should have minimized the potential bias associated with low response rates. Additionally, the nurses who responded in this study were from both genders and had variable financial, social life, academic achievements, and self-rated knowledge of COVID-19. The sample also included nurses who previously contracted COVID-19. This diversity might have added validity, depth, and width to the findings of this study. Although the tool used in this study was adopted from previous studies, the tool was revalidated in a pilot testing using appropriate tests [27, 42,43,44]. Findings of the pilot testing phase indicated that the tool was suitable to be used to assess knowledge, attitude, and use of protective measures against COVID-19 nurses [51,52,53]. This might have allowed exposing the current knowledge, attitude, and use of protective measures against COVID-19 among nurses practicing across the healthcare centers/hospitals in the West Bank of the oPt.

The findings of this study should also be interpreted considering the following limitations. First, this study was a cross-sectional study. The findings might change with time and knowledge might increase as the pandemic continue unfolding. Additionally, the findings could have been more interesting should an intervention to improve knowledge, attitude, and use of protective measures was attempted. However, findings of this study might be informative to decision makers who wish to intervene by designing appropriate measures aiming to protect future nurses by improving knowledge, correcting attitude, and promoting adequate use of protective measures against COVID-19 among nurses. Second, the self-rated financial status, self-rated social status, self-rated academic achievements, and self-rated knowledge about COVID-19 were measured using a three-point Likert scale. Although the Likert scale is popularly used in medical research, the number of scale points to be used is still highly controversial [71]. Previous studies have used Likert scales with a number of points that ranged from 3 to 11. In a previous study, Leung administered the Rosenberg Self-Esteem Scale among 1217 students in Macau using different number of points and showed that there were no significant differences in Cronbach’s alpha, item–item correlations, item–total correlations, factor loadings, mean scores, and standard deviation of the scores [71]. Although the study of Leung advocated the use of large number of points (> 6 points), five-point Likert scales are commonly used in medical research. In this study, the use of a three-point Likert scale might have influenced the number of nurses who self-rated their financial status, social status, academic achievements, and knowledge about COVID-19 as moderate. This could have limited generalization and/or comparison of the findings to other settings. Third, the number of items measuring knowledge, attitude, and use of protective measures against COVID-19 among nurses with regard to COVID-19 was relatively small. Additionally, attitudes of the nurses were measured using only 2 items. However, the tool was previously used to assess knowledge, attitudes, and practice among healthcare providers in other settings studies [27, 42,43,44]. Despite the inherent disadvantages, the use of small number of items in a questionnaire has many advantages including increasing participation, avoiding participant fatigue, and saving the time of the participants [72, 73]. Additionally, the items used to assess knowledge ranged from very easy to difficult. However, no question was attributed as very difficult in this study. Fifth, the use of protective measures against COVID-19 items collected perceived practice behavior. Although, social desirability bias cannot be excluded, it is noteworthy mentioning that the study participants were nurses who cared for infected patients during an ongoing pandemic. This could also, at least in part, explain the reportedly high use of use of protective measures against COVID-19. Finally, a nonprobability sampling technique was used to recruit the nurses to this study. Compared to probability sampling, nonprobability sampling techniques are inherently biased. This might limit generalization of the findings to the entire population of nurses. Fourth, knowledge of the nurses might have been underestimated as a results of recall bias. During the pandemic, nurses as well as other healthcare providers were exhausted and had to work for extended shifts. Previous studies conducted elsewhere including neighboring Jordan have reported high prevalence of burnout among healthcare providers [12,13,14, 74]. It is possible that the exhaustive work conditions during the pandemic have affected the results.

Conclusion

Findings of this study suggested that nurses in the oPt had adequate knowledge, relatively optimistic attitude, and appropriately used protective measures against COVID-19 during the ongoing pandemic. Knowledge, attitude, and use of protective measures against COVID-19 among nurses should continuously be updated as information unfold during the ongoing pandemic. More efforts are still needed to ensure protection of healthcare providers including nurses from contracting COVID-19.

Availability of data and materials

All data relevant to this study are included within the manuscript or provided as supplementary materials.

Abbreviations

2019-nCoV:

Novel coronavirus 2019

CI:

Confidence interval

COVID-19:

Coronavirus disease 2019

IQR:

Interquartile range

IRB:

Institutional Review Board

MERS:

Middle East respiratory syndrome

R0 :

Reproductive number

SARS:

Severe acute respiratory syndrome

SARS-CoV-2:

Severe acute respiratory syndrome coronavirus 2

VIF:

Variance inflation factor

WHO:

World Health Organization

References

  1. Tian H, Liu Y, Li Y, Wu C-H, Chen B, Kraemer MUG, et al. An investigation of transmission control measures during the first 50 days of the COVID-19 epidemic in China. Science. 2020;368(6491):638–42. https://doi.org/10.1126/science.abb6105.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  2. Cucinotta D, Vanelli M. WHO declares COVID-19 a pandemic. Acta Biomed. 2020;91(1):157–60. https://doi.org/10.23750/abm.v91i1.9397.

    Article  PubMed  PubMed Central  Google Scholar 

  3. Kolifarhood G, Aghaali M, Mozafar Saadati H, Taherpour N, Rahimi S, Izadi N, et al. Epidemiological and clinical aspects of COVID-19; a narrative review. Arch Acad Emerg Med. 2020;8(1):e41.

    PubMed  PubMed Central  Google Scholar 

  4. WHO Coronavirus Disease (COVID-19) Dashboard [https://covid19.who.int/]. Accessed 8 July 2021.

  5. State of Emergency. Palestine’s COVID-19 Response Plan [http://www.emro.who.int/images/stories/palestine/documents/Palestine_Authority_COVID-19_Response_Plan_Final_26_3_2020.pdf?ua=1]. Accessed 8 July 2021.

  6. COVID19 Surveillance System [http://site.moh.ps/index/covid19/LanguageVersion/0/Language/ar]. Accessed 8 July 2021.

  7. Petrosillo N, Viceconte G, Ergonul O, Ippolito G, Petersen E. COVID-19, SARS and MERS: are they closely related? Clin Microbiol Infect. 2020;26(6):729–34. https://doi.org/10.1016/j.cmi.2020.03.026.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  8. Liang K. Mathematical model of infection kinetics and its analysis for COVID-19, SARS and MERS. Infect Genet Evol. 2020;82:104306.

    Article  CAS  Google Scholar 

  9. Khurshid Z, Asiri FYI, Al Wadaani H. Human Saliva: Non-Invasive Fluid for Detecting Novel Coronavirus (2019-nCoV). Int J Environ Res Public Health. 2020;17(7):2225.

    Article  CAS  Google Scholar 

  10. Schwartz J, King C-C, Yen M-Y. Protecting healthcare workers during the coronavirus disease 2019 (COVID-19) outbreak: lessons from Taiwan’s severe acute respiratory syndrome response. Clin Infect Dis. 2020;71(15):858–60. https://doi.org/10.1093/cid/ciaa255.

    Article  CAS  PubMed  Google Scholar 

  11. Fusco FM, Pisaturo M, Iodice V, Bellopede R, Tambaro O, Parrella G, et al. COVID-19 among healthcare workers in a specialist infectious diseases setting in Naples, southern Italy: results of a cross-sectional surveillance study. J Hosp Infect. 2020;105(4):596–600. https://doi.org/10.1016/j.jhin.2020.06.021.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  12. Alrawashdeh HM, Al-Tammemi AB, Alzawahreh MK, Al-Tamimi A, Elkholy M, Al Sarireh F, et al. Occupational burnout and job satisfaction among physicians in times of COVID-19 crisis: a convergent parallel mixed-method study. BMC Public Health. 2021;21(1):811. https://doi.org/10.1186/s12889-021-10897-4.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  13. Roslan NS, Yusoff MS, Asrenee AR, Morgan K. Burnout Prevalence and Its Associated Factors among Malaysian Healthcare Workers during COVID-19 Pandemic: An Embedded Mixed-Method Study. Healthcare. 2021;9(1):90.

    Article  Google Scholar 

  14. Morgantini LA, Naha U, Wang H, Francavilla S, Acar Ö, Flores JM, et al. Factors contributing to healthcare professional burnout during the COVID-19 pandemic: a rapid turnaround global survey. PLoS One. 2020;15(9):e0238217. https://doi.org/10.1371/journal.pone.0238217.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  15. Al Thobaity A, Alshammari F. Nurses on the frontline against the COVID-19 pandemic: an integrative review. Dubai Med J. 2020;3(3):87–92.

    Article  Google Scholar 

  16. Hartmann S, Rubin Z, Sato H, Yong KO, Terashita D, Balter S. Coronavirus Disease 2019 (COVID-19) Infections Among Healthcare Workers, Los Angeles County, February–May 2020. Clin Infect Dis. 2020;ciaa1200. https://doi.org/10.1093/cid/ciaa1200. Online ahead of print.

  17. Alajmi J, Jeremijenko AM, Abraham JC, Alishaq M, Concepcion EG, Butt AA, et al. COVID-19 infection among healthcare workers in a national healthcare system: the Qatar experience. Int J Infect Dis. 2020;100:386–9. https://doi.org/10.1016/j.ijid.2020.09.027.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  18. Magnavita N, Tripepi G, Di Prinzio RR. Symptoms in Health Care Workers during the COVID-19 Epidemic. A Cross-Sectional Survey. Int J Environ Res Public Health. 2020;17(14):5218.

    Article  CAS  Google Scholar 

  19. Erdem H, Lucey DR. Healthcare worker infections and deaths due to COVID-19: a survey from 37 nations and a call for WHO to post national data on their website. Int J Infect Dis. 2021;102:239–41. https://doi.org/10.1016/j.ijid.2020.10.064.

    Article  CAS  PubMed  Google Scholar 

  20. Qi B, Peng H, Shou K, Pan Z, Zhou M, Li R, et al. Protecting healthcare professionals during the COVID-19 pandemic. Biomed Res Int. 2020;2020:8469560.

    PubMed  PubMed Central  Google Scholar 

  21. Chirico F, Nucera G, Magnavita N. COVID-19: protecting healthcare workers is a priority. Infect Control Hosp Epidemiol. 2020;41(9):1117. https://doi.org/10.1017/ice.2020.148.

    Article  PubMed  Google Scholar 

  22. Zaheer R, Khan M, Tanveer A, Farooq A, Khurshid Z. Association of Personal Protective Equipment with De Novo Headaches in Frontline Healthcare Workers during COVID-19 Pandemic: A Cross-Sectional Study. Eur J Dent. 2020;14(S 01):S79–s85.

    Article  Google Scholar 

  23. Tadesse DB, Gebrewahd GT, Demoz GT. Knowledge, attitude, practice and psychological response toward COVID-19 among nurses during the COVID-19 outbreak in northern Ethiopia, 2020. New Microbes New Infect. 2020;38:100787. https://doi.org/10.1016/j.nmni.2020.100787.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  24. Limbu DK, Piryani RM, Sunny AK. Healthcare workers’ knowledge, attitude and practices during the COVID-19 pandemic response in a tertiary care hospital of Nepal. PLoS One. 2020;15(11):e0242126. https://doi.org/10.1371/journal.pone.0242126.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  25. Hesaraki M, Akbarizadeh M, Ahmadidarrehsima S, Moghadam MP, Izadpanah F. Knowledge, attitude, practice and clinical recommendations of health care workers towards COVID-19: a systematic review. Rev Environ Health. 2020; 000010151520200099.

  26. Alrubaiee GG, Al-Qalah TAH, Al-Aawar MSA. Knowledge, attitudes, anxiety, and preventive behaviours towards COVID-19 among health care providers in Yemen: an online cross-sectional survey. BMC Public Health. 2020;20(1):1541. https://doi.org/10.1186/s12889-020-09644-y.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  27. Hussain I, Majeed A, Saeed H, Hashmi FK, Imran I, Akbar M, et al. A national study to assess pharmacists’ preparedness against COVID-19 during its rapid rise period in Pakistan. PLoS One. 2020;15(11):e0241467. https://doi.org/10.1371/journal.pone.0241467.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  28. Okello G, Izudi J, Teguzirigwa S, Kakinda A, Van Hal G. Findings of a cross-sectional survey on knowledge, attitudes, and practices about COVID-19 in Uganda: implications for public health prevention and control measures. Biomed Res Int. 2020;2020:5917378.

    Article  Google Scholar 

  29. Tariq R, Hamid H, Mashood S, Tariq Y, Tariq S, Asiri FYI, et al. Common misconceptions regarding COVID-19 among health care professionals: an online global cross-sectional survey. J Oral Res. 2020; Covid-19 SpecialDO - 1017126/joralres2020049 2020.

  30. Saadeh D, Sacre H. Knowledge, attitudes, and practices toward the coronavirus disease 2019 (COVID-19) among nurses in Lebanon; 2020.

    Book  Google Scholar 

  31. Hua F, Qin D, Yan J, Zhao T, He H. COVID-19 related experience, knowledge, attitude, and behaviors among 2,669 orthodontists, orthodontic residents, and nurses in China: a cross-sectional survey. Front Med. 2020;7:481. https://doi.org/10.3389/fmed.2020.00481.

    Article  Google Scholar 

  32. Hofmeyer A, Taylor R, Kennedy K. Knowledge for nurses to better care for themselves so they can better care for others during the Covid-19 pandemic and beyond. Nurse Educ Today. 2020;94:104503. https://doi.org/10.1016/j.nedt.2020.104503.

    Article  PubMed  PubMed Central  Google Scholar 

  33. Ramadan M, Hasan Z, Saleh T, Jaradat M, Al-hazaimeh M, Bani Hani O, et al. Beyond knowledge: evaluating the practices and precautionary measures towards COVID-19 amongst medical doctors in Jordan. Int J Clin Pract. 2021;75(6):e14122. https://doi.org/10.1111/ijcp.14122.

    Article  CAS  PubMed  Google Scholar 

  34. Abuhammad S, AlAzzam M, Mukattash T. The perception of nurses towards their roles during the COVID-19 pandemic. Int J Clin Pract. 2021;75(4):e13919. https://doi.org/10.1111/ijcp.13919.

    Article  CAS  PubMed  Google Scholar 

  35. McEachan R, Taylor N, Harrison R, Lawton R, Gardner P, Conner M. Meta-Analysis of the Reasoned Action Approach (RAA) to Understanding Health Behaviors. Ann Behav Med. 2016;50(4):592–612.

    Article  Google Scholar 

  36. Turk T, Elhady MT, Rashed S, Abdelkhalek M, Nasef SA, Khallaf AM, et al. Quality of reporting web-based and non-web-based survey studies: what authors, reviewers and consumers should consider. PLoS One. 2018;13(6):e0194239. https://doi.org/10.1371/journal.pone.0194239.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  37. Sharma A, Minh Duc NT, Luu Lam Thang T, Nam NH, Ng SJ, Abbas KS, et al. A consensus-based checklist for reporting of survey studies (CROSS). J Gen Intern Med. 2021. https://doi.org/10.1007/s11606-021-06737-1.

  38. von Elm E, Altman DG, Egger M, Pocock SJ, Gotzsche PC, Vandenbroucke JP, et al. The strengthening the reporting of observational studies in epidemiology (STROBE) statement: guidelines for reporting observational studies. PLoS Med. 2007;4(10):e296. https://doi.org/10.1371/journal.pmed.0040296.

    Article  Google Scholar 

  39. Shawahna R. Agreement of Palestinian nursing students with recommendations to eliminate epilepsy stigma and change perception of the general public about epilepsy: a cross-sectional study. Epilepsy BehavB. 2020;109:107126. https://doi.org/10.1016/j.yebeh.2020.107126.

    Article  Google Scholar 

  40. Shawahna R, Jaber M. Crossword puzzles improve learning of Palestinian nursing students about pharmacology of epilepsy: results of a randomized controlled study. Epilepsy Behav. 2020;106:107024. https://doi.org/10.1016/j.yebeh.2020.107024.

    Article  PubMed  Google Scholar 

  41. Shawahna R, Jaber M. Assessing knowledge and attitudes of Palestinian undergraduate nursing students toward epilepsy and patients with epilepsy: a cross-sectional study. Epilepsy Behav. 2020;102:106811. https://doi.org/10.1016/j.yebeh.2019.106811.

    Article  PubMed  Google Scholar 

  42. Zhong BL, Luo W, Li HM, Zhang QQ, Liu XG, Li WT, et al. Knowledge, attitudes, and practices towards COVID-19 among Chinese residents during the rapid rise period of the COVID-19 outbreak: a quick online cross-sectional survey. Int J Biol Sci. 2020;16(10):1745–52. https://doi.org/10.7150/ijbs.45221.

    Article  PubMed  PubMed Central  Google Scholar 

  43. Khader Y, Al Nsour M. Dentists’ Awareness, Perception, and Attitude Regarding COVID-19 and Infection Control: Cross-Sectional Study Among Jordanian Dentists. JMIR Public Health Surveill. 2020;6(2):e18798.

    Article  Google Scholar 

  44. Khasawneh AI, Humeidan AA, Alsulaiman JW, Bloukh S, Ramadan M, Al-Shatanawi TN, et al. Medical Students and COVID-19: Knowledge, Attitudes, and Precautionary Measures. A Descriptive Study From Jordan. Front Public Health. 2020;8:253.

    Article  Google Scholar 

  45. Aldohyan M, Al-Rawashdeh N, Sakr FM, Rahman S, Alfarhan AI, Salam M. The perceived effectiveness of MERS-CoV educational programs and knowledge transfer among primary healthcare workers: a cross-sectional survey. BMC Infect Dis. 2019;19(1):273. https://doi.org/10.1186/s12879-019-3898-2.

    Article  PubMed  PubMed Central  Google Scholar 

  46. Napolitano F, Bianco A, D'Alessandro A, Papadopoli R, Angelillo IF. Healthcare workers’ knowledge, beliefs, and coverage regarding vaccinations in critical care units in Italy. Vaccine. 2019;37(46):6900–6. https://doi.org/10.1016/j.vaccine.2019.09.053.

    Article  PubMed  Google Scholar 

  47. Zhang M, Zhou M, Tang F, Wang Y, Nie H, Zhang L, et al. Knowledge, attitude, and practice regarding COVID-19 among healthcare workers in Henan, China. J Hosp Infect. 2020;105(2):183–7. https://doi.org/10.1016/j.jhin.2020.04.012.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  48. Shawahna R, Hattab S, Al-Shafei R, Tab'ouni M. Prevalence and factors associated with depressive and anxiety symptoms among Palestinian medical students. BMC Psychiatry. 2020;20(1):244. https://doi.org/10.1186/s12888-020-02658-1.

    Article  PubMed  PubMed Central  Google Scholar 

  49. Livingston E, Desai A, Berkwits M. Sourcing personal protective equipment during the COVID-19 pandemic. JAMA. 2020;323(19):1912–4. https://doi.org/10.1001/jama.2020.5317.

    Article  CAS  PubMed  Google Scholar 

  50. Tsao S-F, Chen H, Tisseverasinghe T, Yang Y, Li L, Butt ZA. What social media told us in the time of COVID-19: a scoping review. Lancet Digital Health. 2021;3(3):e175–94. https://doi.org/10.1016/S2589-7500(20)30315-0.

    Article  PubMed  Google Scholar 

  51. Shawahna R, Fahed B, Qadri D, Sharawi L, Soroghli M, Dweik M. Awareness and knowledge of autism Spectrum disorders among pharmacists: a cross-sectional study in Palestinian pharmacy practice. J Autism Dev Disord. 2017;47(6):1618–27. https://doi.org/10.1007/s10803-017-3085-5.

    Article  PubMed  Google Scholar 

  52. Shawahna R, Atrash A, Jebril A, Khalaf A, Shaheen E, Tahboosh H. Pharmacists’ knowledge of issues in pharmacotherapy of epilepsy using antiepileptic drugs: a cross-sectional study in Palestinian pharmacy practice. Epilepsy Behav. 2017;67:39–44. https://doi.org/10.1016/j.yebeh.2016.11.027.

    Article  PubMed  Google Scholar 

  53. Shawahna R, Atrash A, Jebril A, Khalaf A, Shaheen E, Tahboosh H. Evaluation of pharmacists’ knowledge of women's issues in epilepsy: a cross-sectional study in Palestinian pharmacy practice. Seizure. 2017;46:1–6. https://doi.org/10.1016/j.seizure.2017.01.002.

    Article  PubMed  Google Scholar 

  54. Streiner DL. Starting at the beginning: an introduction to coefficient alpha and internal consistency. J Pers Assess. 2003;80(1):99–103. https://doi.org/10.1207/S15327752JPA8001_18.

    Article  PubMed  Google Scholar 

  55. Shawahna R, Samaro S, Ahmad Z. Knowledge, attitude, and practice of patients with type 2 diabetes mellitus with regard to their disease: a cross-sectional study among Palestinians of the West Bank. BMC Public Health. 2021;21(1):472. https://doi.org/10.1186/s12889-021-10524-2.

    Article  PubMed  PubMed Central  Google Scholar 

  56. Wauters M, Azermai M, Perehudoff K, Versluys K, Steeman E, Petrovic M. Development and validation of the psychotropic education and knowledge (PEAK) test on psychotropic drugs for nurses in an acute geriatric care setting. Eur Geriatr Med. 2016;7(2):135–41. https://doi.org/10.1016/j.eurger.2016.02.002.

    Article  Google Scholar 

  57. Kim H-Y. Statistical notes for clinical researchers: assessing normal distribution (2) using skewness and kurtosis. Restor Dent Endod. 2013;38(1):52–4. https://doi.org/10.5395/rde.2013.38.1.52.

    Article  PubMed  PubMed Central  Google Scholar 

  58. West S, Finch J, Curran P. Structural equation models with nonnormal variables: problems and remedies. In: Hoyle R, editor. Structural equation models structural equation modeling concepts, issues, and applications, vol. 19. Newbery Park: Sage; 1995.

    Google Scholar 

  59. Collinearity. In: The Concise Encyclopedia of Statistics. Dodge Y (end). New York: Springer. https://doi.org/10.1007/978-0-387-32833-1_66.

  60. Daoud JI. Multicollinearity and regression analysis. J Phys Conf Ser. 2017;949:012009. https://doi.org/10.1088/1742-6596/949/1/012009.

    Article  Google Scholar 

  61. Shawahna R, Hamdan A. Use and preference of information technology and social media networks in medical sciences education in the West Bank of Palestine. In: 2017 8th International Conference on Information Technology (ICIT): 17–18 May 2017 2017; 2017. p. 230–5.

    Chapter  Google Scholar 

  62. Haslam MB. What might COVID-19 have taught us about the delivery of nurse education, in a post-COVID-19 world? Nurse Educ Today. 2021;97:104707. https://doi.org/10.1016/j.nedt.2020.104707.

    Article  PubMed  Google Scholar 

  63. Mao A, Cheong PL, Van IK, Tam HL. “I am called girl, but that doesn’t matter” -perspectives of male nurses regarding gender-related advantages and disadvantages in professional development. BMC Nurs. 2021;20(1):24. https://doi.org/10.1186/s12912-021-00539-w.

    Article  PubMed  PubMed Central  Google Scholar 

  64. Dee C, Stanley EE. Information-seeking behavior of nursing students and clinical nurses: implications for health sciences librarians. J Med Library Assoc. 2005;93(2):213–22.

    Google Scholar 

  65. O'Leary DF, Mhaolrúnaigh SN. Information-seeking behaviour of nurses: where is information sought and what processes are followed? J Adv Nurs. 2012;68(2):379–90. https://doi.org/10.1111/j.1365-2648.2011.05750.x.

    Article  PubMed  Google Scholar 

  66. Lin D, Friedman DB, Qiao S, Tam CC, Li X, Li X. Information uncertainty: a correlate for acute stress disorder during the COVID-19 outbreak in China. BMC Public Health. 2020;20(1):1867. https://doi.org/10.1186/s12889-020-09952-3.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  67. Hernández-García I, Giménez-Júlvez T. Assessment of health information about COVID-19 prevention on the internet: Infodemiological study. JMIR Public Health Surveill. 2020;6(2):e18717. https://doi.org/10.2196/18717.

    Article  PubMed  PubMed Central  Google Scholar 

  68. Saqlain M, Munir MM, Rehman SU, Gulzar A, Naz S, Ahmed Z, et al. Knowledge, attitude, practice and perceived barriers among healthcare workers regarding COVID-19: a cross-sectional survey from Pakistan. J Hosp Infect. 2020;105(3):419–23. https://doi.org/10.1016/j.jhin.2020.05.007.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  69. Abolfotouh MA, Almutairi AF, BaniMustafa AA, Hussein MA. Perception and attitude of healthcare workers in Saudi Arabia with regard to Covid-19 pandemic and potential associated predictors. BMC Infect Dis. 2020;20(1):719. https://doi.org/10.1186/s12879-020-05443-3.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  70. Lam SKK, Kwong EWY, Hung MSY, Pang SMC, Chiang VCL. Nurses’ preparedness for infectious disease outbreaks: a literature review and narrative synthesis of qualitative evidence. J Clin Nurs. 2018;27(7–8):e1244–55. https://doi.org/10.1111/jocn.14210.

    Article  PubMed  Google Scholar 

  71. Leung S-O. A comparison of psychometric properties and normality in 4-, 5-, 6-, and 11-point Likert scales. J Soc Serv Res. 2011;37(4):412–21. https://doi.org/10.1080/01488376.2011.580697.

    Article  Google Scholar 

  72. Richardson LJ, Bélanger JJ. COVID-19 Knowledge Test: An Assessment Tool for Health Educators During the COVID-19 Pandemic. Front Public Health. 2020;8(657):580204.

    Article  Google Scholar 

  73. Singh AK, Agrawal B, Sharma A, Sharma P. COVID-19: assessment of knowledge and awareness in Indian society. J Public Aff. 2020:e2354. https://doi.org/10.1002/pa.2354. [Epub ahead of print].

  74. Algunmeeyn A, El-Dahiyat F, Altakhineh MM, Azab M, Babar ZU. Understanding the factors influencing healthcare providers’ burnout during the outbreak of COVID-19 in Jordanian hospitals. J Pharm Policy Pract. 2020;13(1):53. https://doi.org/10.1186/s40545-020-00262-y.

    Article  PubMed  PubMed Central  Google Scholar 

Download references

Acknowledgements

Author would like to thank the study participants. An-Najah National University is acknowledged for making this study possible.

Funding

This study did not receive any specific funding.

Author information

Authors and Affiliations

Authors

Contributions

RS was involved in the conception and design of the work, analysis and interpretation of data, drafting and final approval the manuscript.

Corresponding author

Correspondence to Ramzi Shawahna.

Ethics declarations

Ethics approval and consent to participate

This study was conducted in adherence with the principles of the Declaration of Helsinki and the ethical principles followed at An-Najah National University. The current study received ethical approval from the Institutional Review Board (IRB) of An-Najah National University. The nurses provided written informed consent before they participated in the current study.

Consent for publication

Not applicable.

Competing interests

The author reports no competing interests.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Additional file 1: Supplementary Table S1.

Adherence to the guidelines of reporting of cross-sectional studies in which a questionnaire was used as the study tool [1,2,3].

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Shawahna, R. Knowledge, attitude, and use of protective measures against COVID-19 among nurses: a questionnaire-based multicenter cross-sectional study. BMC Nurs 20, 163 (2021). https://doi.org/10.1186/s12912-021-00689-x

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12912-021-00689-x

Keywords