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Investigating perceptions and attitude toward telenursing among undergraduate nursing students for the future of nursing education: a cross-sectional study

BMC Nursing volume 23, Article number: 236 (2024) Cite this article

Abstract

Background

Telenursing is poised to emerge as a novel healthcare delivery system in the digital age. Hence, understanding nursing students' perspectives and readiness is pivotal for its effective implementation. This study investigated nursing students' perceptions regarding, and attitudes toward, telenursing and the factors that influenced their attitudes based on the technology acceptance model.

Methods

This study used a cross-sectional descriptive approach. The participants consisted of 188 nursing students (first to fourth year) enrolled in the College of Nursing in Korea. Differences in attitudes toward telenursing were analyzed using independent t-test and one-way analysis of variance. Pearson’s correlation coefficient was used to examine the correlations between the main variables. Factors that influenced attitudes toward telenursing were analyzed using multiple regression.

Results

Of the participants, 65.4% lacked substantial awareness of telenursing and 19.1% had prior telenursing experience. Although prospects on telenursing indicated that 90.4% had an optimistic view, face-to-face nursing was heavily preferred for both satisfactory and favored healthcare delivery. Many cited the Internet as their source of knowledge, and only 18.6% had received telenursing education. Attitude toward telenursing was significantly more positive among those with experience of telenursing, telenursing observation in clinical practice, and telenursing education exposure. The regression model was statistically significant (F = 67.445, p < .000). Factors, such as perceived usefulness, social influence, innovativeness, and self-efficacy, influenced attitudes toward telenursing.

Conclusions

Nursing students exhibited a lack of substantial awareness of telenursing; however, they simultaneously displayed a positive outlook. This lack of comprehensive understanding could stem from the absence of formal education in telenursing. Understanding and utilizing the potential of telenursing could be significantly aided by nursing students' education and knowledge. Thus, it is necessary to include telenursing education in the nursing curriculum. The skills and knowledge required for telenursing clinical practice can be developed through telenursing education. Such preparedness will affect nurses’ attitudes and intentions and the quality of telenursing offered to patients in the future.

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Background

With the advancement of information and communication technology (ICT) and onset of the COVID-19 pandemic, “non-face-to-face” interactions have become prevalent worldwide [1]. This shift has led to a rapid surge in the use of telehealth services. Hence, telenursing has gained significant attention as an innovative paradigm in nursing [2]. Telenursing is defined as “the use of telecommunication and information technology for nursing practice from a distance” [3]. It encompasses a spectrum of activities, ranging from nurses counseling patients over the phone to delivering further complex nursing services at the patient's home via cameras and remote monitoring devices [4]. This approach transcends spatial limitations and enables nurses to promptly offer services based on the patient's needs [5]. Telenursing is positioned to emerge as a pioneering healthcare delivery system in the digital age and poised for substantial growth [6].

During the COVID-19 pandemic, South Korea temporarily allowed teleconsultations, triggering significant discussions on legalizing telemedicine [7]. Subsequently, a national pilot project permitting non-face-to-face consultations during holidays and nighttime has been underway since December 2023, indicating substantial changes in South Korea's telemedicine policies for the future. With robust ICT infrastructure [8] and ownership of the necessary technological framework [9], South Korea has the potential for advancing telehealth [10]. Given telehealth's global trend, it is foreseeable that South Korea will soon embrace the introduction and utilization of telenursing. There are currently no regulations regarding telemedicine for nurses, and no discussions on telenursing have been conducted at all. However, previous studies have shown that 43.1% of home healthcare nurses have experienced telenursing [11], and the proportion of military nurses who have experienced telemedicine is 30.1% [12], indicating that telenursing frequently occurs undetected. Once the legal and institutional barriers are addressed, integration and activation of telenursing, can be expected [13]. In preparation, enhancing future nursing professionals' understanding of telenursing and establishing a robust human infrastructure is pivotal. Receptiveness and adaptability within the nursing domain emerge as crucial factors in shaping the quality of healthcare services through telenursing [14]. Studies have indicated that the lackluster performance of pilot telemedicine collaboration projects in Korea resulted from overlooking the factors that influenced medical staff's acceptance of new technologies, such as perceived ease of use, perceived usefulness, and attitude [15]. Therefore, assessing nursing professionals’ attitudes and perceptions is imperative for the stable integration of innovative nursing technologies.

Nursing students will play crucial roles as essential practical personnel [16]. Understanding undergraduate nursing students' perspectives and receptiveness toward telenursing can significantly influence its integration in the upcoming shift to a telehealth era. However, limited research has delved into the status of nursing students concerning telenursing. Existing research on nursing and medical students in countries such as the United States and Poland has suggested that their perspectives and attitudes toward telehealth and telenursing are positive. However, the studies also revealed a lack of adequate education and perception of knowledge gaps [17,18,19,20,21]. To the best of our knowledge, limited studies have examined the perceptions and attitudes of Korean nursing students toward telenursing, particularly following the COVID-19 pandemic.

Therefore, this study aimed to assess Korean nursing students' perception and attitude toward telenursing, explore their intention to utilize telenursing services in their future practice, and evaluate their perspective on the necessity of integrating telenursing services into the national healthcare system. Additionally, we investigated nursing students' educational status regarding telenursing, and aimed to offer insights into the prospect of telenursing education by examining students' educational needs.

Research framework

This study is based on the Technology Acceptance Model (TAM), proposed by Davis (1989) [22]. The TAM explores the causal relationships among beliefs, attitudes, and behaviors in the process of technology adoption. It also explores how a user's beliefs affect their attitude, which, in turn, influences their intention to use the technology. This intention ultimately drives actual usage. Specifically, perceived usefulness, belief in technology enhancing job performance, perceived ease of use, and belief in minimal effort required shape a user's attitude, impact their intention to use technology, and subsequently, their actual usage [22]. While various theories attempt to explain and predict technology acceptance, the TAM is recognized as a specific robust model in explaining and predicting technology usage [23]. Previous studies [24, 25] have demonstrated the utility of the TAM across diverse nursing-related phenomena. The inclusion of the “attitude” variable distinguish TAM from other models. Thus it is useful for elucidating the introduction and utilization of new technologies in the nursing field. Building on TAM, our study emphasizes “attitude” variable as pivotal in predicting technology adoption. Attitude encompasses beliefs and significantly impacts one’s cognition and behavior.

A previous meta-analysis study found that the TAM models that incorporated the attitude variable demonstrated higher explanatory power compared with those without [26]. Thus, by expanding on the TAM and incorporating external variables, we established a research framework to identify the factors that influenced nursing students' attitudes toward telenursing.

Our study developed a research framework, which expanded on the TAM, to identify factors that affected nursing students' attitudes toward telenursing. We considered individual factors, technology acceptance factors, and perceptions of telenursing as independent variables, and attitude toward telenursing as the dependent variable (Fig. 1). Specifically, individual factors comprised demographic characteristics, such as age, sex, academic year, residential area, and clinical practice. Furthermore, self-efficacy, innovativeness, and digital literacy were also incorporated, as previous research identified their influence on technology acceptance [27]. Technology acceptance factors consisted of perceived ease of use and usefulness from the TAM theory, complemented by social influence and facilitating conditions from the Unified Theory of Acceptance and Use of Technology [28]. Perceptions of telenursing were defined as awareness of and experience with telenursing, educational exposure, and observation of telenursing during clinical practice.

Fig. 1
figure 1

The research framework of this study

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Methods

Study design

A cross-sectional descriptive survey was conducted using an online questionnaire to investigate attitudes toward telenursing and analyze the factors that influenced them. The participants were nursing students (first to fourth year) enrolled in the College of Nursing in Korea. To determine the required sample size, G-Power 3.1.9.4 software was used. It was calculated with a significance level of 0.05, power(1-β) of 0.8, a medium effect size of 0.15 [29], and 16 variables for the multiple regression analysis, which yielded 143 participants. We considered the potential dropout rates and incomplete responses and added an additional 20%, which resulted in a sample size of 174 [30]. Before the main survey, a pilot test was conducted with 10 participants to verify the questionnaire's validity. The pilot test results were excluded from the final analysis. The main survey was completed by 188 participants.

Measures and scales

To identify the factors that influenced nursing students' attitudes toward telenursing, a structured questionnaire that consisted of 51 items was employed. Survey items were formulated by referencing prior research on perceptions of telenursing along with studies that investigated acceptance factors based on the TAM theory. All measurements were approved for use by their original authors [27, 31,32,33,34,35]. Additionally, all survey items were adapted to the undergraduate nursing student in Korea and reviewed by a nursing professor in community nursing.

Individual factors

Based on previous research on nursing students [21], we developed five questions to explore demographic characteristics, such as sex, age, academic year, residential area, and clinical practice. Self-efficacy was measured via a tool adapted from prior research [31, 32] and comprised two items (e.g., “I could understand and utilize telenursing system.”). Cronbach’s alpha was 0.906. In this study, innovativeness was defined as nursing students’ voluntary willingness to attempt and enjoy the use of new medical technologies. To align with nursing students' characteristics, we adopted and modified two items from the innovativeness instrument (e.g., “I prefer using new technologies.”) [32]. The Cronbach’s alpha was 0.784. Digital literacy toward ICT for learning was assessed via an adapted digital literacy survey tool [27] tailored for this study, which comprised eight items (e.g., “I can learn new technologies easily.”). Cronbach’s alpha was 0.907. The responses of self-efficacy, innovativeness, and digital literacy were provided on a 5-point Likert scale ranging from “Strongly disagree” (1) to “Strongly agree” (5).

Technology acceptance factors

Perceived usefulness was measured via three items adapted from a tool used in a previous study [33], adjusted to suit nursing students' characteristics(e.g., “I expect that using telenursing in my job will increase my productivity.”). Cronbach’s alpha was 0.875. Perceived ease of use was assessed with two modified items (e.g., “I expect that telenursing systems will be easy to use.”). Cronbach's alpha was 0.881. Social influence comprised four items [34] tailored to nursing students (e.g., “People who influences my behaviors (seniors, juniors, and peers) will think that I should use telenursing system.”). Cronbach’s alpha was 0.812. Facilitation conditions, which reflected an individual's belief in organizational and technical support for utilizing new information systems, were measured using four items adapted to suit our target population [34] (e.g., “The telenursing system is not compatible with existing medical information systems.”) Cronbach’s alpha was 0.788. All items were rated on a 5-point Likert scale.

Perceptions of telenursing

Perception of telenursing was influenced by various factors, such as experience, specific conditions treated, and individual preferences [35]. In this study, perceptions of telenursing were defined as awareness of and experience with telenursing, educational exposure, and observation of telenursing during clinical practice. We included three items that examined telenursing experiences (e.g., “Do you have telenursing experience?”), five items that addressed telenursing education (e.g., “Have you received education on telenursing?”), and six items that evaluated perceptions and other individual understandings associated with telenursing (e.g., “Which way do you think is more satisfactory, telenursing or face-to-face nursing?”). In addition, one item assessed participants' awareness of telenursing by asking whether they know telenursing.

Attitude toward telenursing

Attitude toward telenursing was assessed via six items adapted from the tool utilized in previous research [33] and tailored to nursing students' characteristics(e.g., “Using telenursing is a good idea for nurses.”). The responses were provided on a 5-point Likert scale ranging from “Strongly disagree” (1) to “Strongly agree” (5). Cronbach’s alpha was 0.852.

Data collection

The survey, conducted via Google Mobile Survey, adopted a self-reported approach and spanned from August 1 to September 31, lasting for two months. Convenience sampling was employed by recruiting participants through campus community notices and online postings.

Data analysis

Collected data were analyzed via SPSS/WIN version 26.0. Participants’ demographic characteristics and their perceptions of telenursing were described as frequencies and percentages. The main variables were analyzed and described as means and standard deviations. Normal distribution was confirmed via the normality test. Differences in attitudes toward telenursing based on participants’ general characteristics and perceptions of telenursing were analyzed via a chi-squared test, independent t-test, and one-way analysis of variance (ANOVA). Pearson’s correlation coefficient was used to examine the correlation between the main variables. Multiple regression analysis was conducted to identify the factors that influenced attitudes toward telenursing. To assess the normality, homoscedasticity, and linearity of residuals, histograms and normal probability plots (P-P plots) of standardized residuals, as well as scatter plots, were examined.

Ethical considerations

This research was approved by the Institutional Review Board of Seoul National University on July 2, 2023 (IRB No. 2307/001–012). The study's purpose was thoroughly explained via the mobile questionnaire to ensure participants' understanding of the consent form. Only individuals who fully comprehended the study and consented to participate were invited to respond to the survey. The authors highlighted the assurance of maintaining participants’ confidentiality and anonymity. A mobile gift card was presented to the participants who completed the online survey as a token of appreciation and to increase the reliability of the survey responses. All procedures were performed in accordance with the relevant guidelines and regulations.

Results

Participants’ general characteristics

This study included 188 participants. Table 1 presents the participants’ general characteristics. Among the participants, there were 174 females (92.6%) and 14 males (7.4%), which indicated a higher proportion of females. Participants were aged 18–47 years (average age: 22.49 ± 4.20 years).

Table 1 Participants’ general characteristics (N = 188)
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Perceptions of telenursing

Table 2 presents the results regarding perceptions of telenursing. Regarding awareness of telenursing, 11.2%, 23.4%, 48.4%, and 17.0% claimed to be “very knowledgeable,” “knowledgeable,” “Heard of but not knowledgeable,” and “unknowledgeable,” respectively. Essentially, 65.4% lacked substantial awareness of telenursing and 19.1% had prior experience with telenursing. Of those who underwent clinical practice, 18.3% stated they observed telenursing practices at their clinical sites. We analyzed responses from participants with telenursing experience and found that 86.2% encountered the real-time or synchronous model. Most reported instances of consultations via telephone, particularly during the COVID-19 period. Cases of communication via telephone with isolated patients were reported in Residential Treatment Centers and negative pressure isolation rooms within hospital wards. In addition, two cases were reported for the “store & forward” or asynchronous type, which involved a later reporting of blood glucose and test results to nurses via home devices and transmission of health-related data through monitoring devices at home. For the “telemonitoring” or “remote monitoring” type, tracking exercise routes and times via GPS during health center exercise sessions (one case) and monitoring activity levels through sensor-equipped watches (one case) were reported. Finally, for the “mobile health” type, reports included responding to mobile health questionnaires via applications and daily health status reporting (three cases) and engagement in an artificial intelligence-internet of things–-based diabetes management program (one case). This study investigated the satisfactory way of delivering healthcare and found that 72.3% favored face-to-face nursing and 13.3% preferred telenursing, while 14.4% chose both. Similarly, regarding delivering healthcare, 75.5% opted for face-to-face, 14.9% chose telenursing, and 9.6% preferred both. Of the participants, 90.4% expressed an optimistic viewpoint regarding the prospect of telenursing. Among those who responded “pessimistic” toward the prospects of telenursing, specific opinions were solicited. Responses included various considerations, such as “considered nursing as requiring direct contact,” “difficult for older adults to use,” and “lack of accessibility for low-income and rural areas.”

Table 2 Perceptions of telenursing (N = 188)
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Status of education regarding telenursing

Table 3 presents the status of education regarding telenursing. This study investigated education exposure to telenursing and found that 18.6% had undergone telenursing education, while 81.4% had not. The most prevalent source of information for telenursing was the Internet, constituting 28.7%, followed by mass media and formal educational programs, both of which accounted for 18.5%. Furthermore, 14.7% reported learning telenursing through social media platforms, such as YouTube, Facebook, and Instagram, while 3.0% acquired knowledge from academic books or other literature. Additionally, 15.5% stated they were unaware of telenursing. In cases where respondents had experienced telenursing education, the types of education included regular academic programs (45.3%), one-time sessions, such as seminars or conferences (18.9%), and additional information provided by instructors outside the curriculum (35.9%). When the necessity and interest in telenursing education were assessed, necessity scored an average of 4.26 ± 0.702 out of 5, with a 0% response rate for “disagree” or “strongly disagree” options. Interest in telenursing education averaged 4.04 ± 0.786 out of 5, and no respondents selected “not at all” Differences in digital literacy based on the type of education experience of telenursing revealed statistically significant higher levels of digital literacy among those who received education through regular academic programs (F = 2.058, p = 0.041) (Additional file 1).

Table 3 Status of education regarding telenursing (N = 188)
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Descriptive statistics of the main variables

Table 4 shows the main variables rated on a 5-point Likert scale. We compared the variables’ mean values (obtained by dividing the total score of each variable by the number of items) and found that attitude toward telenursing and perceived ease of use had the highest and lowest mean scores of 4.06 ± 0.61 and 3.57 ± 0.98, respectively. Attitude toward telenursing, measured with six items on a 5-point scale, had an average score of 24.35 ± 3.677.

Table 4 Descriptive statistics of the main variables (N = 188)
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Attitude toward telenursing and main variables

An independent t-test and one-way ANOVA were performed to investigate the factors that influenced attitudes toward telenursing and main variables according to participants’ general characteristics (Additional file 2) and perceptions of telenursing (Table 5). Attitudes toward telenursing significantly differed regarding experiences of telenursing (t = 2.746, p = 0.007) and telenursing observations in clinical practice (t = 4.002, p < 0.000). No significant differences were observed among sex (t = -1.070, p = 0.286), age groups (F = 2.589, p = 0.054), academic year (F = 1.449, p = 0.230), residential area (t = 1.479, p = 0.141), or clinical practice experiences (t = 0.502, p = 0.616). Post-hoc Scheffe’s test concerning attitudes toward telenursing with age groups revealed significantly higher scores for the “24 < N≦29” group compared with the “29 < N” group (p = 0.023). Furthermore, there was a tendency for telenursing awareness to influence attitudes toward nursing (F = 2.482, p = 0.062); however, it was not statistically significant. Participants with telenursing experience and those with telenursing observations in clinical practice showed significantly higher scores in most variables, which included attitudes toward nursing. The group exposed to education in telenursing showed significant differences in all the variables.

Table 5 Differences in main variables according to perceptions of telenursing (N = 188)
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Correlations between the main variables

Pearson’s correlation analysis was conducted to examine the correlations between the main variables (Table 6). A statistically significant positive correlation was confirmed for each main variable. Specifically, social influences exhibited strong correlations with perceived usefulness (r = 0.697, p < .001), facilitating conditions (r = 0.689, p < .001), and attitudes toward telenursing (r = 0.693, p < .001). Additionally, perceived usefulness showed a significant correlation with attitudes toward telenursing (r = 0.675, p < .001). Innovativeness was significantly correlated with digital literacy (r = 0.693, p < .001), and correlation coefficients ranged from 0.65–0.7.

Table 6 Correlations between the main variables (N = 188)
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Factors that affected the attitude toward telenursing

A multiple regression analysis was performed to identify the factors that affected the attitude toward telenursing. Among the individual factors that led to significant differences in participants’ attitudes toward telenursing, “experience of telenursing” and “exposure to telenursing education” were selected as independent variables. Although the telenursing observation in clinical practice significantly influenced attitudes toward telenursing, further cross-analysis via a chi-squared test demonstrated a strong correlation with experiences of telenursing (p < .001). Consequently, this variable was subsequently excluded from the analysis.

Table 7 presents the results of the multiple regression analysis. The regression model demonstrated statistical significance (F = 67.445, p < .001). The adjusted R2, which represented the model’s explanatory power, was 0.587. The Durbin-Watson statistic of 2.131 was approximately 2, which indicated that there was no problem with assuming the independence of the residuals. Additionally, all variance inflation factors were below 10, which indicated no multicollinearity problems. Significant coefficients were found for perceived usefulness (β = 0.353), social influence (β = 0.330), self-efficacy (β = 0.131), and innovativeness (β = 0.125), which revealed a positive influence on attitudes toward telenursing. Figure 2 depicts the factors that affected the attitude toward telenursing.

Table 7 Associated factors of attitude toward telenursing (N = 188)
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Fig. 2
figure 2

Associated factors of attitude toward telenursing

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Discussion

Our findings revealed that nursing students demonstrated a lack of substantial awareness of telenursing; however, they also simultaneously displayed a positive outlook. Although the current provision of telenursing education was severely deficient, majority of the students recognized its necessity and showed high interest in telenursing education. Nursing students' attitudes toward telenursing were independent of demographic factors. However, it was associated with telenursing experience and education and observation of telenursing during clinical practice. These factors showed notable associations with attitudes and most of the main variables, such as perceived usefulness, perceived ease of use, social influences, facilitating conditions, innovativeness, self-efficacy, and digital literacy. In particular, the four factors, perceived usefulness, social influences, self-efficacy, and innovativeness, significantly influenced attitudes toward telenursing sequentially.

Perceptions of telenursing

Most nursing students demonstrated a lack of substantial awareness regarding telenursing. Despite their notably positive outlook on telenursing, the preferred and prioritized method of healthcare delivery was face-to-face nursing. This indicated that they had limited receptiveness toward it. Previous studies on nursing students also reported simultaneous positive prospects alongside negative perceptions toward telenursing, which were associated with a lack of awareness [20, 36]. Prior research findings also indicated that the negative perceptions stemmed from concerns, such as reduced patient-nurse interaction, impracticality, service inconvenience, and apprehensions regarding service imbalances [36, 37]. In this study, a similar finding was observed as participants who held negative prospects of telenursing also mentioned its impracticality compared to face-to-face nursing, lack of patient contact, challenges faced by older individuals, and accessibility issues for low-income or rural residents. However, such negative opinions were a contrast to those of recent research that indicated telenursing resolved various issues of face-to-face nursing, surpassed spatial and temporal constraints to enhance accessibility, and demonstrated high satisfaction levels [38]. This limited perception was presumed to stem from the absence of formal education in telenursing [39]. Another previous study reported the availability of technology, access to the Internet, and lack of telemedicine training as the most significant factors that influenced healthcare providers' perception of telenursing [40]. Hence, providing nursing students with telenursing education could serve as a significant facilitator in understanding and harnessing it [20]. However, only one-fifth of the respondents reported education in telenursing, even though the students recognized its necessity and exhibited a strong interest.

Factors affecting attitude toward telenursing

Attitudes of nursing students toward telenursing showed a significant association with telenursing experience, observation of telenursing during clinical practice, and exposure to telenursing education. These experiences notably influenced their perception and willingness toward telenursing [17]. Additionally, these factors demonstrated associations with crucial variables, such as perceived usefulness, ease of use, social influences, facilitating conditions, innovativeness, self-efficacy, and digital literacy. These variables affected attitudes and also influenced intentions to use and actual future utilization. Lack of knowledge and awareness could impede the recognition and utilization of telehealth services and potentially hinder the broader adoption of these advancements [41]. These insights underscore the need to implement programs aimed at augmenting knowledge and practical exposure. Through such initiatives, we can markedly enhance their understanding and readiness to embrace telenursing.

In particular, perceived usefulness, social influences, innovativeness, and self-efficacy were identified as key determinants in shaping nursing students' attitudes toward telenursing. Similar results were also identified in previous studies [33, 42]. Perceived usefulness, which referred to the belief in telenursing's capacity to enhance work performance [28], was the most significant factor that influenced attitudes toward telenursing. Telenursing offered various benefits, such as improved medical accessibility and efficient healthcare management, and recognizing these advantages exerted significant influence [38]. Social influences emerged as the second most influential factor that affected attitudes toward telenursing. Shared understanding among nursing students and senior nurses regarding the usefulness and necessity of utilizing telenursing could positively influence attitudes toward telenursing and also its intention and actual utilization [43]. This study's findings also emphasized the significance of individual factors, such as innovativeness and self-efficacy. These factors represented the importance of nursing students' perception of their capability and willingness to use telenursing. Previous studies suggested that voluntariness exerted the most significant influence on the intention to utilize telehealth services [12]. This implied that individual recognition and willingness held more significance in fostering the utilization of telehealth or telenursing than external environmental factors that could induce non-voluntary use. By equipping students with practical proficiency, they could develop personal aspects, such as innovativeness and self-efficacy.

Implication and necessity of telenursing education

All the aforementioned findings emphasized the need for telenursing education. Nursing students need telenursing education as part of their preparation for future roles. Such education could enhance their knowledge and also cultivate a favorable attitude toward it [44]. Individuals exposed to telehealth education demonstrate a significantly improved understanding of its utility and role [45]. A nurse's expertise, which requires the seamless integration of various skills, such as information technology, nursing proficiency, and communication skills, should be cultivated through education [46, 47]. In addition, experiential education programs could augment crucial factors, such as perceived usefulness, self-efficacy, and innovativeness, by deepening understanding of telenursing's effectiveness and implications [47]. However, previous studies have reported the inadequacy of telehealth education within nursing programs [43]. Furthermore, the undergraduate nursing informatics curriculum was reported to be insufficient, and there was scarce information on telenursing education in Korean nursing universities [48]. The lack of nursing informatics education may result in challenges for nursing students in fostering information technology competencies, potentially leading to difficulties in comprehending and utilizing telenursing. Therefore, it is necessary to include practical telenursing education in the nursing curriculum. This ensures that nursing students have access to fundamental telenursing education to prepare them adequately for their forthcoming roles.. Additionally, the quantity and quality of nursing informatics education should be improved. Nursing informatics education would elevate their telenursing competency by equipping nursing students with the necessary knowledge and skills in information technology.

Further research should focus on the integration of formal education curricula on telenursing and the provision of experiential-based learning opportunities, such as simulation education. Moreover, investigation into the intentions and actual usage of telenursing among nursing students transitioning into healthcare professionals is warranted. Such research endeavors can contribute to establishing effective education on telenursing, initiating educational efforts promptly, and advocating to raise awareness of its benefits.

Strengths and limitations

This study had several limitations. First, the participants could have had pre-existing positive or negative opinions of telenursing, which could have influenced their responses. Second, we focused only on factors that influenced attitudes toward telenursing and did not directly explain whether these had an impact on the intention or actual usage of telenursing. Third, the participants were selected through convenience sampling. Hence, our results should be interpreted and generalized with caution.

However, despite these limitations, this study was significant as the first investigation into the perceptions and attitudes of Korean nursing students toward telenursing following the COVID-19 pandemic. Previous studies predominantly targeted healthcare professionals and telehealth, which left a significant gap in research focusing on telenursing among nursing students. This study highlighted the status of nursing students concerning telenursing and provided insights into the necessary preparations for nurturing future telenursing professionals.

Conclusion

This study revealed that nursing students had limited awareness of telenursing. However, they displayed a positive outlook toward it. The students' attitudes toward telenursing were associated not only with factors such as perceived usefulness, social influence, self-efficacy, and innovativeness but also with their experiences in telenursing, observations during clinical practice, and exposure to telenursing education. Ultimately, telenursing education played a crucial role in the development of specialized knowledge required for clinical telenursing practice. Nursing students require access to formal telenursing education to prepare for their future nursing roles. This education enhances students' competency and also nurtures a positive attitude conducive to the seamless integration of telenursing into the forthcoming digital healthcare era.

Availability of data and materials

Datasets used and analyzed in this study are available from the corresponding author upon reasonable request.

Abbreviations

ANOVA:

Analysis of Variance

TAM:

Technology Acceptance Model

References

  1. Daly R. Consumers expect expanded telehealth to remain post-COVID-19, survey finds. Healthcare financial management association. https://www.hfma.org/technology/consumers-expect-expanded-telehealth-to-remain-post-covid-19-su/. Accessed 2 Sept 2023.

  2. Afik A, Pandin MG. Telenursing as a new nursing paradigm in the 21 century: a literature review. Preprints 2021030704 [Preprint]. 2021. https://doi.org/10.20944/preprints202103.0704.v1

  3. Kumar S, Snooks H, editors. Telenursing. Berlin/Heidelberg: Springer Science & Business Media; 2011.

  4. Gogia S, editor. Fundamentals of telemedicine and telehealth. Cambridge, MA: Academic Press; 2019.

    Google Scholar 

  5. McVey C. Telenursing: a concept analysis. Comput Inform Nurs. 2023;41(5):275–80. https://doi.org/10.1097/CIN.0000000000000973.

    Article  PubMed  Google Scholar 

  6. Naditz A. Telenursing: front-line applications of telehealthcare delivery. Telemed J E Health. 2009;15(9):825–9. https://doi.org/10.1089/tmj.2009.9938.

    Article  PubMed  Google Scholar 

  7. OECD. The COVID-19 pandemic and the future of telemedicine. OECD Health Policy Studies. Paris: OECD Publishing. 2023. https://doi.org/10.1787/ac8b0a27-en. Accessed 21 Mar 2024.

  8. Massaro M, Kim S. Why is South Korea at the forefront of 5G? Insights from technology systems theory. Telecommun Policy. 2022;46(5):102290.

    Article  Google Scholar 

  9. Kim J, Jiyeon I, Juhyun K. A Study on the current status of telemedicine policies and response strategies. J Korean Med Assoc. 2022;36:1–191.

    Google Scholar 

  10. Kim HS, Kim H, Lee S, Lee KH, Kim JH. Current clinical status of telehealth in Korea: categories, scientific basis, and obstacles. Healthc Inform Res. 2015;21:244–50. https://doi.org/10.4258/hir.2015.21.4.244.

    Article  PubMed  PubMed Central  Google Scholar 

  11. Park Y, Heo H, Woo K. Status of Telenursing and future use intentions in home health care in the post-COVID-19 era. Home Health Care Manag Pract. 2024;0(0):10848223241228436. https://doi.org/10.1177/10848223241228435.

    Article  Google Scholar 

  12. Park S, Woo K. Military doctors’ and nurses’ perceptions of telemedicine and the factors affecting use intention. Telemed J E Health. 2023;29(9):1412–20. https://doi.org/10.1089/tmj.2022.0430. Epub 2023 Jan 24 PMID: 36695673.

    Article  PubMed  Google Scholar 

  13. Kim H, Kim S-W, Park E, Kim JH, Chang H. The role of fifth-generation mobile technology in prehospital emergency care: an opportunity to support paramedics. Health Policy Technol. 2020;9:109–14. https://doi.org/10.1016/j.hlpt.2020.01.002.

    Article  Google Scholar 

  14. Honey M, Collins E, Britnell S. Education into policy: embedding health informatics to prepare future nurses-New Zealand case study. JMIR Nurs. 2020;3(1):e16186. https://doi.org/10.2196/16186.

    Article  PubMed  PubMed Central  Google Scholar 

  15. Lee WS, Pyun L. Study on emergency medical care teleconsultation network in vulnerable areas. Korean Health Econ Rev. 2019;25:59–81.

    Article  Google Scholar 

  16. Kim IJ, Kim MS, Jeon MK. Exploring nursing students’ perspectives on telenursing using Q-methodology. Comput Inform Nurs. 2021;39(12):1007–16. https://doi.org/10.1097/CIN.0000000000000767.

    Article  PubMed  Google Scholar 

  17. Malhotra P, Ramachandran A, Chauhan R, Soni D, Garg N. Assessment of knowledge, perception, and willingness of using telemedicine among medical and allied healthcare students studying in private institutions. Telehealth Med Today. 2020;5.

  18. Abraham C, Jensen C, Rossiter L, Dittman Hale D. Telenursing and remote patient monitoring in cardiovascular health. Telemed J E Health. 2023;30(3):771–9. https://doi.org/10.1089/tmj.2023.0187. Epub ahead of print. PMID: 37682280.

    Article  PubMed  Google Scholar 

  19. El- Said Abdellatif A, Mohamedsobhyelsayed D, Hamidoabosree T. Knowledge and attitude of faculty of nursing students regarding telenursing. J Nurs Sci Benha Univ. 2023;4:677–89.

    Article  Google Scholar 

  20. Khraisat OMA, Al-Bashaireh AM, Alnazly E. Telenursing implications for future education and practice: nursing students’ perspectives and knowledge from a course on child health. PLoS ONE. 2023;18(11):e0294711. https://doi.org/10.1371/journal.pone.0294711.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  21. Glinkowski W, Pawłowska K, Kozłowska L. Telehealth and telenursing perception and knowledge among university students of nursing in Poland. Telemed J E Health. 2013;19(7):523–9. https://doi.org/10.1089/tmj.2012.0217.

    Article  PubMed  PubMed Central  Google Scholar 

  22. Davis FD. Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Q. 1989;13:319–40.

    Article  Google Scholar 

  23. Chuttur M. Overview of the technology acceptance model: origins, developments and future directions. AIS Electronic Library. 2009;9(37):290. https://aisel.aisnet.org/sprouts_all/290/?utm_source=aisel.aisnet.org%2Fsprouts_all%2F290&utm_medium=PDF&utm_campaign=PDFCoverPages.

  24. Strudwick G. Predicting nurses’ use of healthcare technology using the technology acceptance model: an integrative review. Comput Inform Nurs. 2015;33(5):189–98. https://doi.org/10.1097/CIN.0000000000000142. PMID: 25974361 quiz E1.

    Article  PubMed  Google Scholar 

  25. Rahimi B, Nadri H, Lotfnezhad Afshar H, Timpka T. A systematic review of the technology acceptance model in health informatics. Appl Clin Inform. 2018;9(3):604–34. https://doi.org/10.1055/s-0038-1668091. Epub 2018 Aug 15. PMID: 30112741; PMCID: PMC6094026.

    Article  PubMed  PubMed Central  Google Scholar 

  26. Ingham J, Cadieux J, Mekki Berrada AM. e-Shopping acceptance: a qualitative and meta-analytic review. Inf Manag. 2015;52:44–60.

    Article  Google Scholar 

  27. Kim S, Jeon J. Factors influencing eHealth literacy among Korean nursing students: a cross-sectional study. Nurs Health Sci. 2020;22(3):667–74. https://doi.org/10.1111/nhs.12711.

    Article  PubMed  Google Scholar 

  28. Venkatesh V, Morris MG, Davis GB, Davis FD. User acceptance of information technology: toward a unified view. MIS Q. 2003;27:425–78.

    Article  Google Scholar 

  29. Cohen J. Statistical power analysis for the behavioral sciences. Cambridge, MA: Academic Press; 1978.

    Google Scholar 

  30. In J, Kang H, Kim JH, Kim TK, Ahn EJ, Lee DK, et al. Tips for troublesome sample-size calculation. Korean J Anesthesiol. 2020;73:114–20.

    Article  PubMed  PubMed Central  Google Scholar 

  31. Heo E-J, Jung M-S. A study on nurses’ behavioral intention to use the 4th Industry-based new medical industry: focusing on the expanded TAM. Korea Assoc Bus Educ. 2018;33:365–85.

    Article  Google Scholar 

  32. Hwang J, Hong SY. A study of factors affecting the intention to use a mobile easy payment service: an integrated extension of TAM with perceived risk. J Inf Technol Archit. 2016;13:291–306.

    Google Scholar 

  33. An MH, You SC, Park RW, Lee S. Using an extended technology acceptance model to understand the factors influencing telehealth utilization after flattening the COVID-19 curve in South Korea: cross-sectional survey study. JMIR Med Inform. 2021;9:e25435. https://doi.org/10.2196/25435.

    Article  PubMed  PubMed Central  Google Scholar 

  34. Kim S, Lee CW. Usage intention of u-healthcare service using unified theory of technology adoption and usage. J Korea Contents Assoc. 2013;13:379–88.

    Article  Google Scholar 

  35. Lee Y-K, Park J-Y, Rho MJ, Wang B-R. In-young choi, doctors’ perception and intention of the U-Healthcare service. J Korea Contents Assoc. 2012;12:349–57.

    Article  Google Scholar 

  36. Emikpe BO, Asare DA, Emikpe AO, Folitse RD, Botchway LN. Knowledge and perception of veterinary students in Ghana on telemedicine. Niger J Physiol Sci. 2021;36(1):115–21 PMID: 34987249.

    PubMed  Google Scholar 

  37. Kayyali R, Hesso I, Mahdi A, Hamzat O, Adu A, Nabhani GS. Telehealth: misconceptions and experiences of healthcare professionals in England. Int J Pharm Pract. 2017;25(3):203–9. https://doi.org/10.1111/ijpp.12340.

    Article  PubMed  Google Scholar 

  38. Mun M, Park Y, Hwang J, Woo K. Types and effects of telenursing in home health care: a systematic review and meta-analysis. Telemed J E Health. 2023. https://doi.org/10.1089/tmj.2023.0188.

    Article  PubMed  Google Scholar 

  39. Chike-Harris KE, Durham C, Logan A, Smith G, DuBose-Morris R. Integration of telehealth education into the health care provider curriculum: a review. Telemed J E Health. 2021;27(2):137–49. https://doi.org/10.1089/tmj.2019.0261.

    Article  PubMed  Google Scholar 

  40. Assaye BT, Belachew M, Worku A, Birhanu S, Sisay A, Kassaw M, Mekonen H. Perception towards the implementation of telemedicine during COVID-19 pandemic: a cross-sectional study. BMC Health Serv Res. 2023;23(1):967. https://doi.org/10.1186/s12913-023-09927-1.

    Article  PubMed  PubMed Central  Google Scholar 

  41. Li J, Talaei-Khoei A, Seale H, Ray P, MacIntyre CR. Health care provider adoption of eHealth: systematic literature review. Interact J Med Res. 2013;2:e7.

    Article  PubMed  PubMed Central  Google Scholar 

  42. Chang M-Y, Kuo F-L, Lin T-R, Li C-C, Lee T-Y. The intention and influence factors of nurses’ participation in telenursing. Informatics. 2021;8:35. https://doi.org/10.3390/informatics8020035.

    Article  Google Scholar 

  43. Ali NS, Carlton KH, Ali OS. Telehealth education in nursing curricula. Nurse Educ. 2015;40:266–9. https://doi.org/10.1097/NNE.0000000000000149.

    Article  PubMed  Google Scholar 

  44. Pit SW, Velovski S, Cockrell K, Bailey J. A qualitative exploration of medical students’ placement experiences with telehealth during COVID-19 and recommendations to prepare our future medical workforce. BMC Med Educ. 2021;21(1):431. https://doi.org/10.1186/s12909-021-02719-3.

    Article  PubMed  PubMed Central  Google Scholar 

  45. Wong CJ, Nath JB, Pincavage AT, Bird A, Oyler JL, Gill K, et al. Telehealth attitudes, training, and preparedness among first-year internal medicine residents in the COVID-19 era. Telemed J E Health. 2022;28(2):240–7. https://doi.org/10.1089/tmj.2021.0005.

    Article  PubMed  Google Scholar 

  46. Kappes M, Espinoza P, Jara V, Hall A. Nurse-led telehealth intervention effectiveness on reducing hypertension: a systematic review. BMC Nurs. 2023;22(1):19. https://doi.org/10.1186/s12912-022-01170-z.

    Article  PubMed  PubMed Central  Google Scholar 

  47. Van Houwelingen CT, Moerman AH, Ettema RG, Kort HS, Ten Cate O. Competencies required for nursing telehealth activities: a Delphi-study. Nurse Educ Today. 2016;39:50–62. https://doi.org/10.1016/j.nedt.2015.12.025.

    Article  PubMed  Google Scholar 

  48. Park M, Dlamini BB, Kim J, Kwak MJ, Cho I, Choi M, Lee J, Min YH, Park BK, Lee S. Development of a standardized curriculum for nursing informatics in Korea. Healthc Inform Res. 2022;28(4):343–54. https://doi.org/10.4258/hir.2022.28.4.343.

    Article  PubMed  PubMed Central  Google Scholar 

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Acknowledgements

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Funding

MM and SC received a scholarship from the BK21 Education Program (Center for Human-Caring Nursing Leaders for the Future). The funding source had no role in the conducting of this study, study design, data collection, and management, and analysis, interpretation of the results, preparation and review of the manuscript, and decision to publish.

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Authors and Affiliations

  1. College of Nursing, Seoul National University, 103 Daehak-Ro, Jongno-Gu, Seoul, Republic of Korea

    Minji Mun, Subin Choi & Kyungmi Woo

  2. Research Institute of Nursing Science, College of Nursing, Seoul National University, 103 Daehak-Ro, Jongno-Gu, Seoul, 03080, South Korea

    Kyungmi Woo

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  1. Minji Mun
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Contributions

MM and KW conceptualized and developed the research framework. MM and SC recruited the participants and collected the data. MM analyzed the data and interpreted it. MM and SC drafted the manuscript. KW provided supervision. MM, SC, and KW provided critical revision.

Corresponding author

Correspondence to Kyungmi Woo.

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Ethics approval and consent to participate

All methods used in this study involving participants and data analysis were conducted in accordance with the Declaration of Helsinki and its future amendments. This research was approved by the Institutional Review Board of Seoul National University on 2nd July 2023 (IRB No. 2307/001–012). The study's purpose was thoroughly explained via the mobile questionnaire to ensure participants' understanding of the consent form. Only individuals who fully comprehended the study and consented to participate were invited to respond to the survey. Informed consent was obtained from all the participants. The authors highlighted the assurance of maintaining participants’ confidentiality and anonymity.

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The authors declare no competing interests.

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Supplementary Information

Additional file 1: Table S1.

Differences in digital literacy based on the type of education experience of telenursing.

Additional file 2: Table S2.

Differences in the main variables according to general characteristics.

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Mun, M., Choi, S. & Woo, K. Investigating perceptions and attitude toward telenursing among undergraduate nursing students for the future of nursing education: a cross-sectional study. BMC Nurs 23, 236 (2024). https://doi.org/10.1186/s12912-024-01903-2

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Keywords

BMC Nursing

ISSN: 1472-6955

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