- Department of Nursing, University of Valencia, Valencia, Spain
Background: Hand hygiene (HH) is a good ally to prevent healthcare-associated infections (HAIs). Nevertheless, its incidence continues to concern global bodies such as the World Health Organization (WHO). Nursing student (NS) education will be crucial to reducing HAIs.
Objective: The aim of this current study was to establish the level of HH knowledge among Spanish NS in order to identify gaps in their understanding. We also evaluated self-efficacy among NS as a key strategy for infection control (IC).
Methods: We conducted a cross-sectional study of 483 NS in their second, third, or fourth years in the Faculty of Nursing at University of Valencia (Spain). Participants were recruited by convenience sampling; we collected their sociodemographic data, information on their level of knowledge regarding HH using a WHO questionnaire, and their self-efficacy in IC using a questionnaire based on the Health Belief Model, previously validated and showing moderate to high reliability (ICC = 0.63).
Results: The mean knowledge score was 63.2%, with fourth-year NS achieving significantly higher scores than second-year NS (p < 0.001). The poorest results were those for the WHO “5 Moments for Hand Hygiene” item: only 10.6% identified the need for HH before injections, 19.2% recognized alcohol-based hand rub as more effective than handwashing, and just 21.4% responded correctly regarding HH after patient environment contact. Only 18% correctly identified the main source of pathogens causing HAIs. Self-efficacy scores increased significantly with academic experience (p < 0.001) and correlated positively with HH knowledge.
Conclusion: In this single-site study, we found that NS had a moderate knowledge of HH, with those in their third or fourth year scoring better than those in their second year. Self-efficacy in IC might play an important role in preventing HAIs and so it is crucial to enhance the effectiveness of HH among NS to improve clinical competence, student self-confidence, and quality of patient care. These data contribute to a body of knowledge that can help improve the NS training curricula endorsed by international organizations with a view to help prevent HAIs.
1 Introduction
Healthcare-associated infections (HAIs), which cause substantial morbidity and mortality, remain a significant global public health concern. They result in longer hospital stays and create substantial economic burdens. It is estimated that over 5 million patients are affected by HAIs each year, leading to around 50,000 deaths (1% of all mortalities) per year (1). According to the latest European Centre for Disease Prevention and Control (ECDC) point-prevalence surveys, approximately 7.1% of hospital patients in Europe had at least one HAI, while 3.1% of residents in long-term care facilities were affected (2). The World Health Organization (WHO) reports that between 7 and 15% of hospitalized patients acquire at least one HAI, and 10% of them die, with 20% of these deaths considered preventable (3). Thus, European and global organizations have stressed the need to promote tools and strategies for HAI prevention (1, 3).
Suggested measures include adopting new protocols, improved university-level training, and greater public awareness of hand hygiene (HH) (3). Current actions to reduce HAIs emphasize simple measures such as standard precautions (SPs), particularly HH and the use of personal protective equipment (PPE) (4). Given that the hands of healthcare workers are a frequent source of hospital-acquired infections (1, 5, 6), HH is a critical element of infection control (IC).
Nurses, who are among the largest group of essential healthcare professionals and work in close contact with patients and families, play a central role in IC and prevention (1, 7). It is therefore essential to monitor both the information they receive and their knowledge in these areas. Equally important are nursing students (NS), the future generation of nurses who will assume responsibility for IC and prevention. Hence, their knowledge must be firmly integrated and form the foundation of their training programs (1, 7).
Healthcare-associated IC among NS can be influenced by variables such as academic year and gender (8–13), thereby requiring a personalized educational approach. Published data indicate that while many students have good knowledge and self-efficacy regarding IC, their attitudes toward these practices often remain weak (14). This gap between knowledge and attitude highlights the importance of designing comprehensive curricula for undergraduate NS that not only impart theoretical information, but also encourage the development of positive attitudes toward adherence to IC measures (15). These clinical training courses should integrate interactive teaching methods with continuous and rigorous assessments to ensure that NS not only understand the theory, but also apply their knowledge in real-world situations (14, 16), thus better preparing them for the challenges of the clinical practice.
In addition, it is crucial to consider the role of self-efficacy—understood as confidence in one’s own ability to perform interventions and procedures—in NS training. Self-efficacy is an essential component of NS motivation and the effective application of knowledge in patient care. Hence, self-efficacy not only facilitates the learning process, but also improves the ability of NS to manage complex clinical situations (17–29). The perception of competence and self-efficacy directly influences the quality of care provided and the effectiveness of interventions carried out by future health professionals (20, 21).
The Health Belief Model (HBM) can be used to better understand the impact of self-efficacy in the context of HH training (22). This theoretical framework helps predict and explain health-related behaviors by considering how individual perceptions of risks and benefits affect health decisions and actions. This model focuses on perceptions of susceptibility to disease, severity, expected benefits of adopting healthy behaviors, and perceived barriers to doing so (23). In the context of HH, the HBM helps assess how perceptions of risk and the effectiveness of HH in preventing HAIs influence the attitudes and practices of NS. In addition, self-efficacy is a central component of this model. High self-efficacy can lead to greater adherence to best practices, while low self-efficacy can limit the effective application of such knowledge in real-world clinical situations (17–19).
Nonetheless, the literature analyzing the relationship between HH knowledge and self-efficacy in NS limited. The factors influencing HH practice in NS (15, 24), patient safety in relation to NS self-efficacy (21), and the self-efficacy of health professionals in implementing HH (25) have been previously studied. However, studies with large sample sizes that specifically explore the relationship between HH knowledge and self-efficacy in NS at different points in their undergraduate education are still scarce (26). Thus, we aimed to establish the level of HH knowledge among Spanish NS in order to identify areas for improvement in nursing curricula endorsed by international organizations which set standards and recommendations for health education (1, 4).
As part of the internal evaluation of our nursing curricula, we compared HH knowledge among NS at different stages of their nursing degree. We hypothesized that NS self-efficacy would vary depending on their level of HH knowledge and aimed to identify possible knowledge gaps where further training in HH could be useful (1, 4). To gain a deeper understanding of how perceptions of self-efficacy and other beliefs affect the implementation of HH measures, we used the HBM as the theoretical framework. The main objective of this study was to evaluate the relationship between HH knowledge and the academic year of undergraduate NS at the University of Valencia (Spain) in order to identify weaknesses in the curricula that require reinforcement. The secondary objective was to evaluate the association between NS HH knowledge and self-efficacy.
2 Methods
2.1 Study design
A cross-sectional study was carried out to evaluate the level of HH knowledge and self-efficacy among NS in the Faculty of Nursing and Podiatry at the University of Valencia (Spain). The participants were all students enrolled in the second, third, and fourth academic years of the bachelor’s nursing degree who consented to take part after receiving information about the study. Confidentiality and anonymity of the data were guaranteed. The questionnaires, which included sociodemographic data such as age, nationality, gender, and marital status, were sent via a Google Form link to all the students via a virtual classroom message. Similar numbers of students in each academic year were invited to participate in the study: 258 in the second year (response rate n = 188, 72.86%), 247 in the third year (response rate n = 144, 58.29%), and 225 in the fourth year (response rate n = 139, 61.77%).
2.2 Evaluation of hand hygiene knowledge
The WHO hand hygiene knowledge questionnaire for health-care workers (1) was used to evaluate NS knowledge of HH. We employed the Spanish version of this questionnaire, authorized by the Spanish Ministry of Health (30) and previously used with Spanish NS (26, 31), consisting of 10 items. Item 1 covers training in the 3 years prior and item 2 covers compliance with the routine use of an alcohol-based hand rub (ABHR), but these items are excluded from the scoring. Items 3–10 assessed the NS level of knowledge of HH and included 25 questions covering pathogen transmission routes, sources of infection, indications for HH for patients and healthcare workers, the effectiveness of ABHRs, minimum rubbing time required, and clinical situations and risk factors for pathogen colonization. Each correct answer was scored as 1 and each incorrect answer as 0, yielding a total score ranging from 0 to 25, with higher values indicating better knowledge.
2.3 Evaluation of self-efficacy in infection control practices
Self-efficacy in IC practices was measured using a survey based on the Health Belief Model (HBM), a theory-based framework used to predict health-related behaviors and assess the perceptions and knowledge of IC practices among clinical professionals in hospitals. The original instrument comprises 6 subscales that mirror the 6 HBM constructs: (1) susceptibility, (2) severity, (3) benefits, (4) barriers, (5) self-efficacy, and (6) cues to action. Each item is scored on a 5-point Likert scale from 1 (strongly disagree) to 5 (strongly agree), where higher scores reflect stronger self-efficacy in IC.
In our study, we used only the 6 items related to self-efficacy in IC to address our primary study aim. The items were as follows: (1) I engage in good infection control practices; (2) I seek information on infection control practices; (3) Engaging in proper infection control measures is important to me; (4) I follow infection control recommendations regularly; (5) I often use hand sanitiser while working in the health care setting; (6) Hand sanitisers are as effective as hand washing in controlling infections. The total IC self-efficacy score ranges between 6 and 30 points, with higher scores indicating higher self-efficacy.
The validity of the original instrument was previously evaluated by an external review panel (including a licensed nurse, a doctoral-level nurse with IC experience, a medical epidemiologist, and 2 doctoral-level health science professors). The HBM has been shown to be internally reliable and has a Cronbach alpha ranging from 0.65 to 0.81 (32). The 6 items we used were translated according to the procedure recommended by Beaton et al. (33), obtaining a Cronbach alpha of 0.630 (standardized α = 0.684) and an intraclass correlation coefficient (ICC) of 0.630. According to the proposed ICC repeatability thresholds (≥ 0.75 = excellent, 0.4–0.74 = fair to high, and ≤ 0.39 = poor) (34), the scale demonstrated moderate to high repeatability.
2.4 Sample size determination
To calculate the required sample size, we hypothesized, a priori, a moderate association (r = 0.4) between HH knowledge and self-efficacy. A two-tailed test, α = 0.05, 95% confidence interval (95% CI), β = 0.20, and power of (1 − β) = 0.80 were also assumed. Anticipating a 10% dropout rate due to incomplete questionnaires, the required sample size was 52 students. This estimate was based on the classification of coefficients as weak (< 0.3), moderate (0.3–0.7), or strong (> 0.7) (35, 36), and application of the ARCSINUS approximation (37). A posteriori, with the observed correlation coefficient of 0.15, the required sample size was 386; the final sample size achieved was 483 NS.
2.5 Data collection
To simplify data collection and facilitate participation, we designed a self-administered questionnaire using Google Forms. The questionnaire contained three sections: sociodemographic data, HH knowledge (1), and IC-related self-efficacy. We sent an informative e-mail to the second-, third-, and fourth-year NS and posted an explanatory video in their virtual classroom outlining the project and inviting them to complete the anonymous questionnaire. The participants were informed that their involvement in the study would not affect their academic performance. To minimize bias, none of the researchers involved in the study took part in the recruitment of participants, except to provide information about the study. The NS participated between September 2023 and December 2023.
2.6 Statistical analysis
Quantitative variables were expressed as the mean ± standard deviation (SD). Comparisons were made with Student t-tests for parametric data or Mann–Whitney U tests for non-parametric data. Qualitative data were compared using chi-squared tests or Fisher exact tests. Correlations among quantitative variables were examined using Pearson correlation coefficients and Spearman rank correlations. Multiple linear regression analyses were conducted to examine the associations between the total HH knowledge score and the independent variables of interest (age, gender, course year, and IC self-efficacy), while accounting for potential confounding participant characteristics. Results were reported as regression coefficients (β) with their 95% CIs and p-values. Statistical analyses were conducted using SPSS software (version 28, IBM Corp., Armonk, NY), with p < 0.05 considered statistically significant.
3 Results
3.1 Characteristics of the study sample
A total of 483 individuals participated in this study, 188 (38.9%) second year, 146 (30.2%) third year, and 149 (30.8%) fourth year NS. The mean participant age was 22.2 ± 0.26 years (standard error of the mean) and their ages ranged between 18 and 58 years. Regarding their gender, most participants, 406 in total (84.1%), identified as female and 73 (15.1%) identified as male, while a small percentage identified as genderfluid (1; 0.2%), pangender (2; 0.4%), or other (1; 0.2%). In terms of their living arrangements, most (253; 52.4%) lived with their parents, 165 (34.2%) lived in shared housing, 24 (5%) lived with their partners, 18 (3.7%) lived with their partners and children, 3 (0.6%) lived with other family members or close friends, and 7 (1.4%) resided only with their children.
3.2 Hand hygiene knowledge
Table 1 summarizes the correct and incorrect responses given by NS regarding HH knowledge, based on the WHO questionnaire (1). Differences were observed across academic years (p < 0.001, Figure 1), with fourth-year NS scoring significantly higher than second-year NS. The overall mean correct score was 63.2%, though performance varied widely by item.
Table 1. The WHO hand hygiene knowledge questionnaire for health-care workers (1).
Figure 1. Hand hygiene knowledge among nursing students from different undergraduate nursing undergraduate course study years. Comparison of the scores obtained in the hand hygiene knowledge questionnaire from students in the second, third, or fourth-year course of the 4-year bachelor’s degree in nursing at University of Valencia (Spain). Statistically significant differences are indicated by asterisks. ns, non-significant difference. *** (p < 0.001).
The weakest results concerned the WHO ‘5 Moments for Hand Hygiene’ guidelines. For Moment 1 (before touching a patient), only 10.6% recognized that HH is required before administering an injection (item 9b). For Moment 2 (before an aseptic procedure), just 19.2% knew that ABHR is more effective than hand washing with soap and water (item 7c). For Moment 3 (after body fluid exposure risk), 19.3% answered correctly regarding HH immediately after exposure (item 5b), and 27.4% after emptying a bedpan (item 9c). For Moment 4 (after touching a patient), 41.1% identified the need for HH after glove removal (item 9d). For Moment 5 (after touching patient surroundings), only 21.4% responded correctly about HH after contact with the patient’s environment (item 5c). Knowledge was also very limited regarding the main source of germs causing HAIs (item 4), with only 18% answering correctly.
Second-year NS obtained the lowest HH knowledge scores, followed by third-year students. Pearson chi-squared tests revealed significant differences by study year for three items: (1) whether they had received formal training in HH in the 3 years prior (p < 0.001); (2) whether they regularly used an ABHR for HH (p < 0.001); and (3) whether they knew the main route of cross-transmission of potentially pathogenic microorganisms in healthcare settings (p < 0.001).
No significant differences were found for questions (4), (5), or (6) by study year. Question (4) addressed the most frequent source of germs causing HAIs (p = 0.568). Question (5) referred to the HH actions that prevent the transmission of microorganisms to patients (a), before touching a patient (p = 0.977); (b), immediately after the risk of exposure to body fluids (p < 0.065); (c), after contact with the immediate environment of the patient (p = 0.454); and (d), immediately before a clean/aseptic procedure (p = 0.139). Question (6) inquired about the HH actions that prevent the transmission of microorganisms to healthcare professionals. No differences by year were found for items (a), after touching a patient (p = 0.206); (c), immediately before a clean/aseptic procedure (p = 0.129); or (d), after contact with the immediate environment of the patient (p = 0.276). However, significant differences were found for item (b), immediately after the risk of exposure to body fluids (p = 0.040).
For question (7), which asked which statements about using ABHR preparations and washing hands with soap and water were true, significant differences were found in two of the four items by study year: (a), hand rubbing is faster than hand washing (p = 0.035) and (d), whether sequential hand washing and rubbing is recommended (p < 0.001). No significant differences were observed for items (b), regarding whether rubbing causes more dry skin than hand washing (p = 0.220) or (c), whether rubbing is more effective against germs than hand washing (p = 0.166). Significant differences were also observed by NS study year in the responses to question (8), which asked about the minimum rubbing time required with ABHR to eliminate germs from hands (p < 0.001).
Significant differences were again observed by NS study year for question (9), which asked about the type of HH required (rubbing, washing, or none) in different situations: (a), before abdominal palpation (p = 0.001); (b), before administering an injection (p = 0.004); (c) after emptying a bedpan (p < 0.002); (d) after removing gloves (p < 0.001); (e), after making a patient bed (p = 0.003); and (f), after visible exposure to blood (p < 0.001). For question (10), which addressed practices associated with increased risk of hand colonization by pathogenic microorganisms, significant differences by NS study year were noted for (a) wearing jewelry (p = 0.03) and (d) regular use of hand cream (p < 0.001). No significant differences were detected for (b) skin lesions (p = 0.03) or (c) the use of artificial fingernails (p < 0.001).
3.3 Self-efficacy in infection control practices
The mean self-efficacy score was 21.7 (SD = 3.25) in the second year (n = 188), 23.1 (SD = 3.06) in the third year (n = 146), and 23.2 (SD = 2.52) in the fourth year (n = 149; p < 0.001). These findings suggest an upward trend in perceived self-efficacy regarding IC as students progressed through their academic training.
3.4 Relationship between HH knowledge and self efficacy in infection control
When analyzing the differences in IC self-efficacy among NS by study year (Figure 2), fourth-year students scored significantly higher (p < 0.001) than those in the second or third years. In addition, as shown in Figure 3, there were significant correlations between the HH knowledge survey results and IC self-efficacy score (Rho = 0.148, p < 0.001, Spearman correlations).
Figure 2. Infection control self-efficacy in nursing students from different undergraduate nursing course years. Comparison of the scores obtained in the infection control self-efficacy questionnaire from students in the second, third, or fourth year course of the 4-year bachelor’s degree in nursing at University of Valencia (Spain). Statistically significant differences are indicated by asterisks. ns, non-significant difference. *** (p < 0.001).
Figure 3. Correlation between self-efficacy related to infection control and HH knowledge. The association between scores obtained in the hand hygiene knowledge questionnaire and the infection control self-efficacy questionnaire from all the students participating in the study. The rho correlation coefficient and p-values are indicated.
3.5 Linear analysis
A linear regression was conducted to examine associations between HH knowledge survey scores and potential predictors (age, gender, course year, and IC self-efficacy). The study year was significantly associated with HH knowledge (β = 0.74, p < 0.001, 95% CI [0.51, 0.96]). No significant associations were found with age (β = −0.03, p = 0.069, 95% CI [−0.06, 0.002]), gender (β = −0.33, p = 0.087, 95% CI [−0.70, 0.05]), or IC self-efficacy score (β = 0.06, p = 0.055, 95% CI [−0.001, 0.13]).
A second regression examined HH knowledge in relation to the six individual IC self-efficacy items (Table 2). Significant associations were observed for two items: the belief that it is important for NS to adopt appropriate IC measures (β = 0.39, p = 0.037, 95% CI [0.02, 0.76]) and frequent use of hand sanitizer in healthcare settings (β = 0.38, p = 0.003, 95% CI [0.13, 0.63]). No significant associations were found for the remaining items.
4 Discussion
The aim of this study was to establish the level of HH knowledge among Spanish NS and identify areas of deficiency that warrant greater attention in nursing curricula endorsed by international organizations. In addition, perceived self-efficacy in hand washing as a key IC strategy was evaluated, providing information that can guide training to reinforce both theoretical knowledge and confidence in applying appropriate practices.
Spanish NS acquire skills and knowledge over their four-year undergraduate program. In the first 2 years, learning is largely theoretical, complemented by simulations, practical classroom activities, and basic clinical practice. In the third and fourth years, NS apply their knowledge in real-world settings, carrying out more advanced care practices. This progression ensures that, by the end of their training, these future professionals are capable of implementing correct hygiene and hand washing behaviors.
In this work, the overall mean score across all study years was moderate (63.2%), comparable to those reported in Greek NS (60.4%) (38) and Saudi NS (68.7%) (39). Our findings highlight variation in NS HH knowledge across course years and survey items, and also in its relationship with IC-related self-efficacy. NS with more experience (third and fourth years) reported higher rates of HH training in the preceding 3 years (96.6 and 98.0%, respectively) compared to only 63.3% of second-year NS. Similar patterns have been observed elsewhere: Blomgren et al. reported increasing HH knowledge across semesters among Swedish NS (40), and a study of second- to fourth-year NS Turkey found that Hand Hygiene Practices Inventory scores improved across course years (27). In Norwegian nursing homes during the COVID-19 pandemic, lower education levels were associated with decreased HH adherence among healthcare workers, suggesting a link between staff training duration and HH compliance (41).
In our study, NS knowledge regarding question 4 of the WHO questionnaire—“the most frequent source of germs responsible for healthcare-associated infections”—was insufficient, with few students in any academic year answering correctly and an overall mean correct response rate of only 18%. This clearly indicates that NS were not fully aware of key HAI prevention and IC measures. Similarly, Rafaqat and Ahmed (42) also found inadequate HAI and IC knowledge, noting that participants lacked sufficient information. Another study recommended improving compliance with healthcare guidelines by increasing NS awareness of the high incidence and costs of HAIs (43). In summary, knowledge in this critical area was low and requires reinforcement.
Despite high knowledge rates regarding HH before patient contact or after an aseptic procedure—with correct response rates exceeding 92% across all three course years—gaps were evident in situations involving contact with potentially risky fluids or patient environments. In these cases, correct response rates were very low, ranging from 13.3 to 24.8% depending on the course year. Adherence to HH after contact with patient environments was particularly insufficient, suggesting that NS often neglect HH in these situations. This is concerning given the evidence that hospital environments play a key role in HAI transmission (44–46, 65). Previous studies have also shown that HH following contact with patient surroundings is among the most commonly missed HH moments for healthcare professionals, with compliance rates of only 36% (44, 45). These findings underscore the need to reinforce both awareness and training in this critical aspect of infection control (46, 65).
Our data also highlight misconceptions about the use and effectiveness of ABHR, with many students believing that handwashing is more effective for eliminating germs (the overall mean correct response rate for this item was only 19%). Nevertheless, we observed that ABHR use increased as NS advanced through their training, suggesting, as noted by Kingston et al. (47), that knowledge gaps may be a key barrier to adoption. Misconceptions should therefore be corrected by emphasizing WHO guidance that ABHR should be applied for 20–30 s when hands are not visibly soiled, and that routine use does not cause skin damage. Incorporating a dedicated module on correct ABHR technique and indications into HH curricula could reinforce both NS self-efficacy and compliance.
Beyond misconceptions about ABHR, many participants did not correctly differentiate between the indications for hand rubbing versus hand washing, reflecting broader gaps in knowledge about the appropriate application of each technique. Importantly, these results represent knowledge scores rather than observed compliance so they cannot be directly equated with behavioral adherence. In our sample, higher knowledge scores were obtained for HH after contact with blood (80.1 and 85.2% correct among third- and fourth-year students, compared with 62.8% among second-year students).
Similar patterns of self-reported compliance have been described in previous studies, such as Sundal et al. (48), Kingston et al. (46), and Ceylan et al. (27). In contrast, our students showed the greatest uncertainty regarding HH after administering an injection, removing gloves, or making a patient bed, consistent with findings from Nair et al. (49) and Thakker & Jadhav (50). These specific gaps—particularly those related to WHO Moment 5 (“after contact with patient surroundings”)—suggest that interventions should go beyond general HH training to include targeted, scenario-based education and practical reinforcement in the situations most frequently neglected.
Regarding the role of self-efficacy, we found a significant association with HH knowledge, suggesting that the more prepared and educated NS are, the better their ability to apply HH correctly and manage complex clinical situations. However, the correlation coefficient (r = 0.148) between these factors indicated only a small effect, which should be interpreted with caution until potential moderating variables are identified that could strengthen this relationship. Consistent with our findings, Lewis & Thompson (51) reported that NS perceived proper HH as positively influencing IC, benefiting patients, hospitals, and the students themselves. Similarly, a study of Korean NS found a positive correlation between HH knowledge and HH performance (52).
This is crucial, as perceiving these benefits encourages students to adopt appropriate IC practices. Self-efficacy also influences academic success (53–55), enhancing the ability of NS to overcome challenges in clinical practice, achieve goals, and deliver high-quality patient care (56). Conversely, self-efficacy is linked to burnout and exhaustion, reducing the likelihood of academic success (57). Evidence suggests that self-efficacy in NS can be strengthened through mastery experiences, vicarious learning, social persuasion, and awareness of psychological states—approaches that build confidence in problem solving and clinical competence (54).
It is essential to address the development of NS self-efficacy during training, particularly given reports of rising burnout in the nursing profession (58). Strengthening NS self-efficacy can enhance safety and confidence in clinical settings. In our study, self-efficacy appeared to reflect the confidence and willingness of NS to perform IC practices, with significant associations observed for two of the six scale items: recognizing the importance of adopting adequate IC measures and frequently using ABHR in healthcare settings. This contrasts with findings from Jeong et al. (59). To foster good healthcare practice, a solid theoretical foundation in HH and HAI prevention must be provided in early in nursing curricula, followed by skills development and reinforcement through practical training (60). In this sense, various researchers have proposed different methodological strategies to consolidate IC-related knowledge and promote the development of self-efficacy in this domain (38, 46, 61–64).
The main limitations of this study are that it was conducted at a single university and employed a cross-sectional design, which does not allow causal inferences to be made. In addition, the use of convenience sampling limits the generalisability of the findings because the participants may not fully represent the broader student population and so the results should be interpreted with caution. A participation rate of 72% was obtained from second-year students, 58.29% from third-year students, and 61.77% from fourth-year students, meaning that more than half of all nursing courses were represented. Non-responder bias was acceptable for second- and fourth-year NS, but moderate for third-year NS, which limits the generalisability of comparisons across study years.
This study relied exclusively on self-reported data, which may be affected by social desirability bias. This makes it difficult to determine the accuracy of responses without observational or objective measures of HH. Thus, while our findings identify gaps in HH knowledge and perceived self-efficacy in IC, they cannot be taken as direct evidence of actual adherence. Therefore, future research should incorporate observational methods to assess whether these factors translate into consistent HH behavior.
Another limitation lies in the translation and adaptation of the self-efficacy scale for IC practices in our context. In addition, the relatively low internal consistency observed for the self-efficacy subscale (Cronbach α = 0.63) warrants caution. This may be partly explained by the reduced number of items in the subscale and the specific characteristics of the study population. Nevertheless, the intraclass correlation coefficient (ICC = 0.63) indicated moderate-to-high repeatability, suggesting that the construct retains a reasonable level of stability. Future studies should therefore employ random sampling to improve generalisability, involve multiple universities, and adopt longitudinal designs that allow causal relationships to be established.
5 Conclusion
This study showed that NS at the University of Valencia (Spain) had a moderate level of HH knowledge. Students in the latter part of the nursing undergraduate degree (third and fourth years) scored better than those at the beginning of their training. This indicates that the knowledge of HH acquired throughout the degree is generally solid, although there are aspects that should be improved, such as knowledge about the appropriate use of ABHR and the importance reinforcing HH practice after contact with patient environments to prevent HAIs.
In addition, there was a significant link between self-efficacy and IC, highlighting the importance of enhancing self-efficacy among NS, thereby benefitting their clinical competence, self-confidence, and capacity to deliver high-quality of patient care. Considering that NS are future healthcare professionals, it is vital that they acquire adequate knowledge during undergraduate training. Thus, we encourage implementing new university-level strategies to improve learning regarding HH, IC, and HAI prevention, thereby better preparing students for professional practice.
Data availability statement
The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding author.
Ethics statement
Permission to conduct this study was granted by the Human Research Ethics Committee at the University of Valencia (UV-INV_ETICA-2724568 on 1 June 2023). The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study. Written informed consent was obtained from the individual(s) for the publication of any potentially identifiable images or data included in this article.
Author contributions
AM-M: Conceptualization, Data curation, Investigation, Methodology, Software, Writing – original draft, Writing – review & editing. OC: Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Project administration, Software, Supervision, Validation, Writing – original draft, Writing – review & editing. MG-E: Conceptualization, Data curation, Investigation, Methodology, Software, Writing – original draft, Writing – review & editing. CB: Conceptualization, Data curation, Investigation, Methodology, Software, Writing – original draft, Writing – review & editing.
Funding
The author(s) declare that no financial support was received for the research and/or publication of this article.
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
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Abbreviations
ABHR, Alcohol-based hand rub; CI, Confidence intervals; ECDC, European Centre for Disease Prevention and Control; HAI, Healthcare-associated infection; HBM, Health Belief Model; HH, Hand hygiene; IC, Infection Control; NS, Nursing Student; OR, Odds ratio; PPE, Personal Protective Equipment; SP, Standard Precautions; UV, University of Valencia; WHO, World Health Organization.
References
1. World Health Organization. WHO guidelines on hand hygiene in health care: First global patient safety challenge clean care is safer care. Geneva: World Health Organization (2009).
2. European Centre for Disease Prevention and Control. Point prevalence survey of healthcare-associated infections and antimicrobial use in European long-term care facilities, 2023–2024. Stockholm: ECDC (2025).
3. World Health Organization. Global report on infection prevention and control: Executive summary. 1st ed. Geneva: World Health Organization (2022).
4. European Centre for Disease Prevention and Control. Point prevalence survey of healthcare-associated infections and antimicrobial use in European acute care hospitals, 2022–2023. Stockholm: ECDC (2024).
6. Ministry of Health. Social services and equality. Spanish patient safety strategy 2015–2020. Madrid: Ministry of Health (2015).
7. Amavasi, B, and Zimmerman, PA. Infection prevention and control continuous education and training in pre-registration nursing programmes. Nurse Educ Today. (2024) 133:106051. doi: 10.1016/j.nedt.2023.106051
8. Tumala, RB, Almazan, J, Alabdulaziz, H, Felemban, EM, Alsolami, F, Alquwez, N, et al. Assessment of nursing students’ perceptions of their training hospital’s infection prevention climate: a multi-university study in Saudi Arabia. Nurse Educ Today. (2019) 81:72–7. doi: 10.1016/j.nedt.2019.07.003
9. Mitchell, BG, Say, R, Wells, A, Wilson, F, Cloete, L, and Matheson, L. Australian graduating nurses’ knowledge, intentions and beliefs on infection prevention and control: a cross-sectional study. BMC Nurs. (2014) 13:43. doi: 10.1186/s12912-014-0043-9
10. Kim, H, and Park, H. Compliance with infection prevention and control practice among prospective graduates of nursing school in South Korea. Int J Environ Res Public Health. (2021) 18:2373. doi: 10.3390/ijerph18052373
11. Choi, JS, and Kim, KM. Factors influencing nursing students’ intention to comply with infection control practices. Am J Infect Control. (2018) 46:717–9. doi: 10.1016/j.ajic.2017.12.010
12. Alriyami, M, Al Omari, O, Al-Daken, L, Alriyami, T, Al Rashdi, R, Al Shukaili, S, et al. Assessing knowledge of nosocomial infection among Omani student nurses: a cross-sectional study. Br J Nurs. (2022) 31:66–70. doi: 10.12968/bjon.2022.31.2.66
13. Ratcliffe, S, and Smith, J. Factors influencing glove use in student nurses. Nurs Times. (2014) 110:18–21.
14. Rahiman, F, Chikte, U, and Hughes, GD. Nursing students’ knowledge, attitude and practices of infection prevention and control guidelines at a tertiary institution in the Western cape: a cross-sectional study. Nurse Educ Today. (2018) 69:20–5. doi: 10.1016/j.nedt.2018.06.021
15. Jeong, SY, and Kim, KM. Influencing factors on hand hygiene behavior of nursing students based on theory of planned behavior: a descriptive survey study. Nurse Educ Today. (2016) 36:159–64. doi: 10.1016/j.nedt.2015.09.014
16. Heidari, H, Beni, ZHM, and Deris, F. Using kern model to design, implement, and evaluate an infection control program for improving knowledge and performance among undergraduate nursing students: a mixed methods study. BMC Med Educ. (2023) 23:795. doi: 10.1186/s12909-023-04775-3
17. Abusubhiah, M, Walshe, N, Creedon, R, Noonan, B, and Hegarty, J. Self-efficacy in the context of nursing education and transition to practice as a registered practitioner: a systematic review. Nurs Open. (2023) 10:6650–67. doi: 10.1002/nop2.1931
18. Masoudi Alavi, N. Self-efficacy in nursing students. Nurs Midwifery Stud. (2014) 3:e258–e25881. doi: 10.17795/nmsjournal25881
19. Shorey, S, and Lopez, V. Self-efficacy in a nursing context In: G Haugan and M Eriksson, editors. Health promotion in health care – Vital theories and research. Cham: Springer International Publishing (2021). 145–58.
20. Cabrera-Aguilar, E, Zevallos-Francia, M, Morales-García, M, Ramírez-Coronel, AA, Morales-García, SB, Sairitupa-Sanchez, LZ, et al. Resilience and stress as predictors of work engagement: the mediating role of self-efficacy in nurses. Front Psych. (2023) 14:1202048. doi: 10.3389/fpsyt.2023.1202048
21. De Miguel, MS, de Elguea, JO, Gómez-Gastiasoro, A, Urcola, F, Cid-Expósito, MG, Torres-Enamorado, D, et al. Patient safety and its relationship with specific self-efficacy, competence, and resilience among nursing students: a quantitative study. Nurse Educ Today. (2023) 121:105701. doi: 10.1016/j.nedt.2022.105701
22. Singh, A, and Barnard, TG. Health science students’ perceptions of hand hygiene education and practice in a south African university: introducing the university hand hygiene improvement model. Healthcare. (2023) 11:2553. doi: 10.3390/healthcare11182553
23. Guidry, JPD, O’Donnell, NH, Austin, LL, Coman, IA, Adams, J, and Perrin, PB. Stay socially distant and wash your hands: using the health belief model to determine intent for COVID-19 preventive behaviors at the beginning of the pandemic. Health Educ Behav. (2021) 48:424–33. doi: 10.1177/10901981211019920
24. Zimmerman, PAP, Sladdin, I, Shaban, RZ, Gilbert, J, and Brown, L. Factors influencing hand hygiene practice of nursing students: a descriptive, mixed-methods study. Nurse Educ Pract. (2020) 44:102746. doi: 10.1016/j.nepr.2020.102746
25. Pereira, EBS, de Andrade, D, Haas, VJ, Watanabe, E, Cunha, CM, and Lopes de Sousa, AF. Measuring the self-efficacy of health professionals for practicing hand hygiene and using gloves: development and validation of an instrument. Sustainability. (2022) 14:9486. doi: 10.3390/su14159486
26. Linnik, L, Turan, N, Polat Dünya, C, Lahtinen, K, Franck, T, Valta, M, et al. Association between hand hygiene knowledge and self-efficacy in nursing students: a multicenter cross-sectional study within the framework of the Erasmus project. Nurs Rep. (2024) 14:1973–86. doi: 10.3390/nursrep14030147
27. Ceylan, B, Gunes, U, Baran, L, Ozturk, H, and Sahbudak, G. Examining the hand hygiene beliefs and practices of nursing students and the effectiveness of their handwashing behaviour. J Clin Nurs. (2020) 29:4057–65. doi: 10.1111/jocn.15430
28. Birgili, F, and Ugurlu, NB. Evaluation of nursing students’ knowledge, belief, and practice of hand hygiene. Int J Med Res Health Sci. (2019) 8:48–58.
29. Maras, GB, Kocacal, E, and Bahar, A. Healthcare professionals’ hand hygiene: perspectives of nursing students in patients/relatives role. Acta Paul Enferm. (2024) 37:eAPE000003511. doi: 10.37689/acta-ape/2024AO000003511
30. Ministerio de Sanidad. Seguridad del paciente – Instrumentos de recogida de información. Madrid: Ministerio de Sanidad (2025).
31. Morán Cortés, JF, Gimeno Benítez, A, Martínez Redondo, E, and Sánchez Vega, J. Conocimiento de la higiene de manos en estudiantes de enfermería. Enferm Glob. (2014) 13:136–47.
32. Kretzer, EK, and Larson, EL. Behavioral interventions to improve infection control practices. Am J Infect Control. (1998) 26:245–53. doi: 10.1016/S0196-6553(98)80008-4
33. Beaton, DE, Bombardier, C, Guillemin, F, and Ferraz, MB. Guidelines for the process of cross-cultural adaptation of self-report measures. Spine. (2000) 25:3186–91. doi: 10.1097/00007632-200012150-00014
34. Shrout, PE, and Fleiss, JL. Intraclass correlations: uses in assessing rater reliability. Psychol Bull. (1979) 86:420–8. doi: 10.1037/0033-2909.86.2.420
35. Kraemer, HC. Correlation coefficients in medical research: from product moment correlation to the odds ratio. Stat Methods Med Res. (2006) 15:525–45. doi: 10.1177/0962280206070650
36. Mukaka, MM. Statistics corner: a guide to appropriate use of correlation coefficient in medical research. Malawi Med J. (2012) 24:69–71.
37. Institut Municipal d’Investigació Mèdica. GRANMO: sample size calculator. Barcelona: IMIM (2025).
38. Bounou, L, Katelani, S, Panagiotopoulou, KI, Skouloudaki, AI, Spyrou, V, Orfanos, P, et al. Hand hygiene education of Greek medical and nursing students: a cross-sectional study. Nurse Educ Pract. (2021) 54:103130. doi: 10.1016/j.nepr.2021.103130
39. Cruz, JP, and Bashtawi, MA. Predictors of hand hygiene practice among Saudi nursing students: a cross-sectional self-reported study. J Infect Public Health. (2016) 9:485–93. doi: 10.1016/j.jiph.2015.11.010
40. Blomgren, PO, Leo Swenne, C, Lytsy, B, and Hjelm, K. Hand hygiene knowledge among nurses and nursing students-a descriptive cross-sectional comparative survey using the WHO'S "hand hygiene knowledge questionnaire". Infect Prev Pract. (2024) 6:100358. doi: 10.1016/j.infpip.2024.100358
41. Sandbekken, IH, Hermansen, Å, Utne, I, Grov, EK, and Løyland, B. Students’ observations of hand hygiene adherence in 20 nursing home wards, during the COVID-19 pandemic. BMC Infect Dis. (2022) 22:156. doi: 10.1186/s12879-022-07143-6
42. Rafaqat, R, and Ahmed, M. Knowledge and self-perceived practice regarding infection control among nursing students of civil hospital Karachi. Support Care Cancer. (2013) 21:S76–7. doi: 10.1007/s00520-013-1798-3
43. van de Mortel, T. Development of a questionnaire to assess health care students’ hand hygiene knowledge, beliefs and practices. Aust J Adv Nurs. (2009) 26:9–16. doi: 10.37464/2009.263.1757
44. FitzGerald, G, Moore, G, and Wilson, APR. Hand hygiene after touching a patient’s surroundings: the opportunities most commonly missed. J Hosp Infect. (2013) 84:27–31. doi: 10.1016/j.jhin.2013.01.008
45. Randle, J, Firth, J, and Vaughan, N. An observational study of hand hygiene compliance in paediatric wards. J Clin Nurs. (2013) 22:2586–92. doi: 10.1111/j.1365-2702.2012.04103.x
46. Kingston, LM, O’Connell, NH, and Dunne, CP. A comparative study of hand hygiene and alcohol-based hand rub use among Irish nursing and medical students. Nurse Educ Today. (2018) 63:112–8. doi: 10.1016/j.nedt.2018.01.022
47. Kingston, LM, O’Connell, NH, and Dunne, CP. Survey of attitudes and practices of Irish nursing students towards hand hygiene, including handrubbing with alcohol-based hand rub. Nurse Educ Today. (2017) 52:57–62. doi: 10.1016/j.nedt.2017.02.015
48. Sundal, JS, Aune, AG, Storvig, E, Aasland, JK, Fjeldsaeter, KL, and Torjuul, K. The hand hygiene compliance of student nurses during clinical placements. J Clin Nurs. (2017) 26:4646–53. doi: 10.1111/jocn.13811
49. Nair, SS, Hanumantappa, R, Hiremath, SG, Siraj, MA, and Raghunath, P. Knowledge, attitude, and practice of hand hygiene among medical and nursing students at a tertiary health care Centre in Raichur, India. ISRN Prev Med. (2014) 2014:608927. doi: 10.1155/2014/608927
50. Thakker, VS, and Jadhav, PR. Knowledge of hand hygiene in undergraduate medical, dental, and nursing students: a cross-sectional survey. J Family Med Prim Care. (2015) 4:582–6. doi: 10.4103/2249-4863.174298
51. Lewis, KL, and Thompson, JM. Health care professionals’ perceptions and knowledge of infection control practices in a community hospital. Health Care Manag. (2009) 28:230–8. doi: 10.1097/HCM.0b013e3181b3ea8b
52. Oh, HS. Knowledge, perception, and performance of hand hygiene and their correlation among nursing students in Republic of Korea. Healthcare (Basel). (2021) 9:913. doi: 10.3390/healthcare9070913
53. Bulfone, G, Iovino, P, Mazzotta, R, Sebastian, M, Macale, L, Sili, A, et al. Self-efficacy, burnout and academic success in nursing students: a counterfactual mediation analysis. J Adv Nurs. (2022) 78:3217–24. doi: 10.1111/jan.15231
54. Bandura, A. Self-efficacy: toward a unifying theory of behavioral change. Psychol Rev. (1977) 84:191–215. doi: 10.1037/0033-295X.84.2.191
55. Bouih, A, Nadif, B, and Benattabou, D. Assessing the effect of general self-efficacy on academic achievement using path analysis: a preliminary study. J Engl Lang Teach Appl Linguist. (2021) 3:18–24. doi: 10.32996/jeltal.2021.3.4.3
56. Yu, M, Tong, H, Li, S, Wu, XV, Hong, J, and Wang, W. Clinical competence and its association with self-efficacy and clinical learning environments among Chinese undergraduate nursing students. Nurse Educ Pract. (2021) 53:103055. doi: 10.1016/j.nepr.2021.103055
57. Madigan, DJ, and Curran, T. Does burnout affect academic achievement? A meta-analysis of over 100,000 students. Educ Psychol Rev. (2021) 33:387–405. doi: 10.1007/s10648-020-09533-1
58. Xie, D, Zhu, X, Zhang, X, Jiang, Z, Wang, X, and Liu, T. Research on the correlation between clinical nurses’ self-efficacy, future time perspective, and occupational burnout. Front Public Health. (2024) 12:1363450. doi: 10.3389/fpubh.2024.1363450
59. Jeong, D, Park, C, and Eun, Y. Effects of infection control education program using flipped learning based on the ARCS model for nursing students: a mixed method. Healthcare (Basel). (2023) 11:2731. doi: 10.3390/healthcare11202731
60. Skodova, M, Gimeno Benítez, A, Jiménez Romano, MR, and Gimeno Ortiz, A. Evaluación de formación y destreza de la asepsia de manos empleando lámpara ultravioleta. Index Enferm. (2014) 23:144–8. doi: 10.4321/S1132-12962014000200006
61. Tavolacci, M-P, Ladner, J, Bailly, L, Merle, V, Pitrou, I, and Czernichow, P. Prevention of nosocomial infection and standard precautions: knowledge and source of information among healthcare students. Infect Control Hosp Epidemiol. (2008) 29:642–7. doi: 10.1086/588683
62. Huang, Y, Xie, W, Zeng, J, Law, F, and Ba-Thein, W. Limited knowledge and practice of Chinese medical students regarding health-care associated infections. J Infect Dev Ctries. (2013) 7:144–51. doi: 10.3855/jidc.3099
63. Meza Sierra, CU, Perez Jaimes, GA, and Rueda Díaz, LJ. Interventions to improve knowledge or compliance to hand hygiene in nursing students: a scoping review. J Infect Prev. (2023) 24:30–44. doi: 10.1177/17571774221127696
64. Purssell, E, and Gould, D. Teaching health care students hand hygiene theory and skills: a systematic review. Int J Environ Health Res. (2022) 32:2065–73. doi: 10.1080/09603123.2021.1937580
Keywords: hand hygiene, infection control, nursing, self-efficacy, education
Citation: De Maya-Martínez A, Cauli O, Giménez-Espert MC and Buigues C (2025) The impact of hand hygiene knowledge on self-efficacy among Spanish nursing students: a cross-sectional study. Front. Public Health. 13:1669928. doi: 10.3389/fpubh.2025.1669928
Edited by:
Yupin Aungsuroch, Chulalongkorn University, ThailandReviewed by:
Jordan Llego, University of Luzon, PhilippinesTatiana Areas Da Cruz, University of São Paulo, Brazil
Copyright © 2025 De Maya-Martínez, Cauli, Giménez-Espert and Buigues. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: María del Carmen Giménez-Espert, bWFyaWEuYy5naW1lbmV6QHV2LmVz