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Swift Action for Preventive Oral Health Utilizing Quick Response (qr) Codes - An Exploratory Study

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14 October 2025

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15 October 2025

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Abstract

Background: The integration of Quick Response (QR) codes into healthcare offers a modern solution for efficient and cost-effective information dissemination. Given Saudi Arabia’s high smartphone penetration rate, QR codes hold significant potential for enhancing preventive oral healthcare. Objective: This study aims to assess the effectiveness of QR codes in providing preventive oral health information leaflets (PILs), focusing on patient awareness, ease of use, and preferences compared to traditional paper leaflets. Methods: A questionnaire-based survey was conducted among 118 participants, predominantly middle-aged and well-educated. The study assessed familiarity with QR codes, their actual usage, and patient preferences for accessing healthcare information via mobile technology or paper PILs. Chi-square tests were used to analyze the associations between demographics and preferences. Results: The study found universal awareness of QR codes among participants, with 44.1% reporting prior usage. A majority (91.5%) preferred accessing healthcare information via mobile devices, with 80.5% favoring QR codes over leaflets for their convenience and accessibility. No significant differences were observed in preferences across gender or educational levels, although women were more likely to require assistance. Participants highlighted the ease of sharing healthcare information through QR codes (87.3%). Conclusion: QR codes are widely recognized as effective tools for patient education, particularly in preventive oral healthcare. Their ease of use, accessibility, and strong preference over traditional methods underscore their potential in healthcare communication. Further research is needed to address barriers to broader adoption and assess long-term impacts.

Keywords: 
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1. Introduction

The Kingdom of Saudi Arabia (KSA) ranks third globally in smartphone use. Smartphones have made many aspects of life more manageable and are considered the most used technological tool worldwide [1,2]. Mobile phones have become an integral part of our lives, especially for mobile users in Saudi Arabia [3]. The behavior of mobile users in Saudi Arabia is heavily influenced by the country's cultural, social, and economic factors.
The smartphone has evolved into a multifunctional mobile device with advanced features. Some health-related apps can be beneficial in various clinical areas. The success of using these applications depends on how easily they can be learned and used [4,5,6,7]. A prior study indicated that smartphones give practitioners quick access to medical and health information, which benefits the healthcare system. This technology has lowered medical errors and improved decision-making, boosting telemedicine communication between healthcare workers and patients. [8,9,10].
In 1994, Denso Wave developed quick response (QR) codes to monitor car components during manufacturing and distribution [11], Denso Wave, the patent holder for QR codes, has made this technology freely available, leading to its rapid adoption. These black-and-white pixelated squares can store much more data than traditional barcodes, take up only a tenth of the space, and enable quick, omnidirectional scanning. [12,13,14,15,16].
A wide range of websites offer the ability to create QR codes online. These links can connect to plain text, a website, a template email or text message, initiate a phone call, display a geographical location, or open a PDF or a specific application on a mobile device [17]. The widespread use of smartphones with cameras has resulted in the widespread application of QR codes in various commercial settings, including marketing [6], In transportation ticket management [18], and more recently, social media applications like Snapchat, technology continues to evolve in exciting ways to meet our needs. [19]. QR code technology in Saudi Arabia enables users to pay bills, make money transfers, check in, log in to websites, participate in promotions, exchange information, and more.
The versatility of QR codes has also sparked interest in their application across different healthcare environments. They have been considered for storing case histories in maxillofacial radiology [9], enhancing medication safety for elderly patients [20], and providing patient instructions after orthopedic cast application. [21].
Additionally, these applications are freely available and have minimal technical needs, such as a smartphone and an internet connection. [22]. Since most healthcare workers and patients have access to these facilities, they can be readily created and used to store and access data without incurring any additional costs [23,24,25]. QR codes have numerous applications, including dental education, practice management, and product promotion [26,27,28].
To reinforce the prevention of oral health problems, we advocated for the use of Quick Response (QR) codes in delivering patient information leaflets (PILs), thereby minimizing the need for resources and the spread of infection. However, data on the use of QR codes in pediatric dentistry is minimal. To our knowledge, few studies have examined patients’ use of QR codes, their preferences, efficiency, and the effectiveness of QR codes in providing preventive oral health information leaflets. Therefore, this study aims to explore (1) patient awareness of QR codes and how they use them, (2) the ease of using QR codes as a digital method to deliver patient information, and (3) patient preferences for receiving information electronically versus on paper PILs.

2. Materials and Methods

We developed a specific questionnaire after receiving ethical approval from the Standing Committee of Bioethics Research (SCBR-172/2023) at Prince Sattam Bin Abdulaziz University (PSAU). This questionnaire(Table 1) assesses patients’ understanding of QR codes, their scanning methods, the convenience of using this digital option compared to traditional paper leaflets, and their preferences. All parents or guardians accompanying pediatric patients are invited to participate. We collected their demographics and compared those who scanned the QR codes. The study sample consisted mainly of well-educated, middle-aged parents attending only one university hospital. This makes the sample homogeneous, severely limiting the generalizability of the findings to the broader population.
The QR codes were generated using the free web application QR Stuff, linking to a PDF-format digital Patient Information Leaflet (PIL) containing essential preventive oral health information, optimized for mobile viewing, and accessible throughout the study period.

2.1. Sample size calculation

Post hoc statistical power analysis was conducted, assuming a null hypothesis of 0.5 for the proportion of patients using the QR code, with a difference of 0.65, at a significance level of α = 0.05 and a power of 0.9. This calculation yielded a sample size of 107, rounded up to 118. Additionally, our sample size was guided by a previous study that involved 79 participants assessing familiarity and use of QR codes (Ozkaya et al., 2015). [27].

2.2. Generating the QR code

The process of creating a QR code involves reformatting three PILs into an A4 PDF to make them easier for smartphone users. Our photography team generates QR codes using a free web-based application. Laminated sheets of these QR codes are then placed in accessible areas throughout all cubicles. The parents accompanying the child are then gently guided to scan this visual code and are kindly asked to compare it with the PIL. Afterwards, we invite the person who scanned the QR code to complete a brief questionnaire through the provided link, helping us prevent cross-contamination smoothly. The age and gender of the individual scanning the QR code are also documented, and the collected data are organized within a Microsoft Excel database. Furthermore, descriptive analyses are performed utilizing SPSS version 26.0 (SPSS Inc., Chicago, IL, USA).

3. Results

The demographic characteristics of the study participants (N = 118) provide a comprehensive view of the sample composition. The gender distribution shows that 39.8% of the participants (47 individuals) were male, while 60.2% (71 individuals) were female, indicating a majority of female representation [Figure 1].
Figure 2 shows that the largest group of participants (52.5%) was aged 35–50, followed by 32.2% under 35 and 15.3% over 50, indicating a middle-aged demographic likely relevant to the study's focus. Gender comparisons reveal differences in age distribution: 55.3% of males are 35–50, 38.3% under 35, and 6.4% over 50. Among females, 50.7% are 35–50, 28.2% are under 35, and 21.1% are over 50. Overall, the 35–50 age group makes up 52.5% of the sample, with 32.2% under 35 and 15.3% over 50. A chi-square value of 5.046 and a p-value of 0.080 suggest no significant association between gender and age group distribution (p > 0.05), indicating observed differences are not statistically significant. [Table 2].
Figure 3 depicts that most participants (56.8%) held a Bachelor’s degree, while 26.3% completed an intermediate or high school certificate. Fewer participants attained a Master’s degree (9.3%), and only 7.6% had primary, middle, or secondary certification. This indicates a predominantly educated participant pool, potentially influencing familiarity with study-related tools. The demographic profile suggests a diverse sample leaning towards educated, middle-aged females, affecting the study's findings. Comparing education levels between genders shows notable patterns: 53.2% of males hold a Bachelor's degree, followed by 25.5% with an intermediate or high school certificate, 12.8% with a Master’s, and 8.5% with a lower certification. Among females, 59.2% hold a Bachelor's degree, 26.8% have an intermediate high school certificate, 7.0% have a Master’s degree, and 7.0% have a lower certification. Overall, females hold slightly more Bachelor's degrees than males, whereas males have a higher representation in Master's degrees. This distribution reflects a well-educated sample with minor variations in higher education attainment. [Table 3].
The study's participants (N=118) provide insights into their familiarity with QR codes. All participants (100%) knew about QR codes, indicating widespread awareness. However, only 44.1% had used them, while 55.9% had not, revealing a gap between familiarity and usage [Figure 4].
Table 4 shows that while 100% of the participants reported familiarity with QR codes, only 44.1% had actually used them, with 100% familiarity among male (47) and female (71) participants, totaling 118. The chi-square and p-values are NA, indicating uniform responses, making statistical testing unnecessary. This consistent awareness supports further analysis of QR code usage preferences.
Table 5 and Figure 5 analyze QR code usage by gender. Among males, 59.6% (28) reported never using a QR code, while 40.4% (19) did. For females, 53.5% (38) had not used one, whereas 46.5% (33) had. Overall, 55.9% (66) of participants never used QR codes, compared to 44.1% (52) who had [Figure 4].
The chi-square value is 0.420 with a p-value of 0.517, signaling no significant association between gender and QR code usage (p > 0.05). This indicates a slight difference in usage between genders but no substantial variation within this sample.
Have you ever used a QR code?
Table 6 and Figure 6 illustrate gender preferences for mobile technology use. Among males, 89.4% (42) preferred mobile, while 10.6% (5) did not. For females, 93.0% (66) preferred mobile, with 7.0% (5) having no preference. Overall, 91.5% of participants (108) favored mobile access, with 8.5% (10) preferring otherwise. The chi-square value of 0.471 and p-value of 0.492 indicate no significant association between gender and mobile preference (p > 0.05), suggesting both genders strongly favor mobile access with minor differences between them.
Do you prefer to have access to helpful information via mobile technology?
Table 7 and Figure 7 analyze QR code assistance needs by gender. Among males, 63.8% (30) reported no need for help, while 36.2% (17) required assistance. In contrast, 42.3% (30 women) did not need help, compared to 57.7% (41) who did. Overall, 50.8% of participants (60) felt no assistance was necessary, whereas 49.2% (58) needed help. The chi-square test showed a value of 5.268 and a p-value of 0.022*, indicating a significant association between gender and QR code assistance needs (p < 0.05). This indicates that females are more likely than males to need help, highlighting a potential gender disparity in comfort with this technology.
Table 8 and Figure 8 examine perceptions of QR codes versus leaflets by gender. Among males, 72.3% (34) preferred QR codes, while 27.7% (13) did not. In contrast, 85.9% of females (61) preferred QR codes, with 14.1% (10) favoring leaflets. Overall, 80.5% of participants (95) preferred QR codes, while 19.5% (23) did not. The chi-square value is 3.321 with a p-value of 0.068, indicating no significant association between gender and preference (p > 0.05). Although females show a stronger preference for QR codes, the difference is not statistically meaningful. This suggests a general trend toward QR codes without significant gender context distinction.
Table 9 and Figure 9 show participants' preferences for QR codes versus leaflets by gender. Among males, 85.1% (40) preferred QR codes, while 14.9% (7) did not. For females, 91.5% (65) favored QR codes, and 8.5% (6) chose not to. Overall, 89.0% (105) preferred QR codes, compared to 11.0% (13) for leaflets [Figure 10]. A chi-square test found no significant association between gender and QR code preference (p = 0.274), indicating both genders favor QR codes with minor differences. This highlights QR codes as preferred over traditional leaflets (Figure 10)
Table 10 and Figure 10 evaluate the ease of sharing healthcare information via QR codes by gender. Among males, 85.1% (40) found it easy, while 14.9% (7) did not. For females, 88.7% (63) reported ease, with 11.3% (8) finding it challenging. Overall, 87.3% (103) found sharing easy, compared to 12.7% (15) who did not [Figure 11]. The chi-square test value of 0.335 and p-value of 0.563 show no significant association between gender and the perceived ease of sharing (p > 0.05). This indicates both genders largely agree on QR code convenience for sharing healthcare information, with minor response variations, demonstrating QR codes' effectiveness for information dissemination.
Table 11 and Figure 11 show that most respondents across all age groups find sharing healthcare information via QR codes easy. Among 118 participants, 87.3% answered "Yes" and 12.7% "No." Specifically, 94.7% of those under 35, 85.5% aged 35-50, and 77.8% over 50 find QR codes easy to use. A chi-square value of 3.549 and a p-value of 0.170 indicate no significant age difference in perceptions of QR code ease. Overall, participants strongly agree that QR codes effectively share healthcare information, regardless of age.

3.1. Familiarity with QR Codes

QR codes are familiar across all education levels. From primary to higher education, individuals recognize QR codes, highlighting their presence in modern life. Notably, respondents with Master’s, Bachelor’s, and intermediate degrees show equal familiarity, indicating that QR codes are a mainstream technology understood across diverse demographics. [Figure 12 and Table 12].

3.1. Usage of QR Codes

The usage of QR codes varies by educational level. In the group with a primary, middle, or secondary certificate, 55.6% used QR codes, but 44.4% did not. This indicates that while QR codes are recognized, actual usage is less prevalent in this group. Among those with an intermediate or high school certificate, 45.2% have used QR codes, with 54.8% not using them. In contrast, respondents with a Bachelor’s degree show a higher rate of non-usage (61.2%), though 38.8% still engage with QR codes. This trend is even more pronounced in the Master’s degree group, where 63.6% have used QR codes, showcasing a higher usage rate in individuals with advanced education. 44.1% of the respondents have used QR codes, and 55.9% have not, indicating a notable gap between familiarity and active usage [Figure 13 and Table 12].

3.3. Preference for Mobile Technology

Mobile technology is highly preferred for accessing information across all education levels. Among those with primary, middle, or secondary certificates, 88.9% favor it. This trend continues with 87.1% of intermediate or high school graduates, 94% of Bachelor’s degree holders, and 90.9% of Master’s alumni. This showcases mobile devices as the top choice for information access in today’s digital age, irrespective of education level. [Figure 14 and Table 12 ]

3.4. Need for Assistance to Use QR Codes

Most respondents reported not needing assistance with QR codes. In the primary, middle, and secondary certificate groups, 77.8% are comfortable using them. The intermediate or high school group is close behind at 67.7%. Among Bachelor’s degree holders, 65.7% can use QR codes independently, while 63.6% of Master’s degree holders show similar autonomy. Overall, 49.2% of participants can use QR codes without help, indicating they have become intuitive for many. [Figure 15 and Table 12].
(Responses: 'Yes' = assistance required, 'No' = no assistance required)". 

3.5. Comparison to Leaflets

When comparing QR codes to traditional leaflets, a noticeable preference is observed for QR codes, especially among the intermediate or high school certificate group, where 87.1% prefer QR codes over leaflets. Bachelor’s degree holders also strongly preferred QR codes at 79.1%, and Master’s degree holders showed a higher preference at 90.9%. Even in the primary, middle, or secondary certificate group, 55.6% favor QR codes, although a smaller proportion (44.4%) still prefer leaflets. Overall, 80.5% of all participants prefer QR codes over leaflets, indicating that QR codes are increasingly more efficient, accessible, and convenient for accessing information than traditional printed materials. [Figure 16 and Table 12].

3.6. Preference for QR Codes Over Leaflets

Most participants preferred QR codes over leaflets. In the primary, middle, or secondary certificate group, 88.9% favored QR codes despite some preference for leaflets. Similarly, 87.1% in the intermediate or high school group and 89.6% in the Bachelor’s group also chose QR codes, rising to 90.9% in the Master’s group. This trend highlights the shift to digital, as QR codes offer convenience and accessibility that leaflets often lack. [Figure 17 and Table 12].

3.7. Ease of Sharing Healthcare Information Using QR Codes

QR codes for sharing healthcare information are positively received across all education levels. Among primary and secondary certificate holders, 88.9% find it easy to use QR codes, similar to 90.3% in the intermediate and high school group. For Bachelor’s degree holders, 86.6% agree, and 81.8% of Master’s degree holders share this view. Overall, 87.3% of participants seek QR codes for easy healthcare information sharing, highlighting their role in efficient dissemination in healthcare contexts. [Figure 18 and Table 12].

4. Discussion

The survey conducted across various educational levels reveals that individuals from diverse backgrounds widely recognize and use QR codes. Regardless of education level, most respondents are familiar with QR codes, with 100% familiarity observed across all groups. While 44.1% of the respondents have used QR codes, a majority, 91.5%, prefer mobile technology for accessing information, indicating a shift away from traditional methods. The survey also shows that most participants do not need assistance using QR codes, suggesting general proficiency. Regarding preference, 80.5% of respondents favor QR codes over leaflets, highlighting their efficiency and convenience, especially in sharing healthcare information, which 87.3% find easy to do using QR codes. The Chi-Square tests show no significant differences in responses across educational levels, indicating that the acceptance and use of QR codes are consistent across all groups. Overall, QR codes are increasingly seen as a valuable tool for information dissemination, particularly in mobile and healthcare contexts, with no significant variations based on educational background.
A strong preference for accessing helpful information via mobile technology was evident, with 91.5% of participants favoring this method. Despite this, a nearly equal split was observed in the need for assistance to use QR codes, with 50.8% not requiring help and 49.2% indicating they needed guidance. When comparing QR codes to traditional leaflets, 80.5% of participants preferred QR codes, reflecting an apparent inclination towards digital solutions. Similarly, 89% expressed a willingness to use QR codes again rather than leaflets in the future.
Previous studies have highlighted the versatile applications of QR codes in various domains, particularly in healthcare and education, reinforcing the current study's findings. Karia et al. (2019) emphasized QR codes’ ability to facilitate quick access to learning materials, supporting the observed preference (80.5%) for QR codes over traditional methods in this study [28]. Similarly, Chien and Lin (2016) demonstrated their effectiveness in improving patient feedback through web-based surveys, aligning with the current findings of ease in information sharing (87.3%) and a preference for digital solutions across educational levels [29]. Jamu et al. (2016) highlighted QR codes’ flexibility and accessibility in multi-professional learning, resonating with the current observation of widespread recognition and usage across educational backgrounds [30]. Lai et al. (2023) showcased their utility in hands-on forensic training for medical students, complementing this study’s evidence of QR codes bridging knowledge gaps [31]. However, Walcott-Bedeau et al. (2020) noted limitations in QR code adoption without adequate training, paralleling the nearly equal split in this study between those needing assistance (49.2%) and those proficient (50.8%) [32]. Alshehri et al. (2022) and Sharara and Radia (2022) explored QR codes’ practical applications in dental care and patient information delivery during the COVID-19 pandemic, respectively, which aligns with this study’s findings of their utility in healthcare [33,34]. Bartnicka and Lara (2019) further emphasized the role of QR codes in streamlining dental clinic processes, reflecting their efficiency and reduced reliance on traditional methods, as observed in the current study [35].
This study's limitations include a small, homogeneous sample mainly from a single university hospital, limiting generalizability across age, education, and location. Its cross-sectional design prevents causal or long-term impact analysis of QR code use on patient education. Selection bias may exist since participants were already familiar with healthcare tech, possibly affecting their preferences. Although most knew QR codes, many needed help, highlighting adoption barriers for future research.
Future research should include larger, diverse samples and longitudinal studies to understand QR codes' lasting effects on patient behavior and health outcomes. Researchers should also explore obstacles to adoption, especially among older adults or less tech-savvy individuals, and compare QR codes with other digital tools like health apps or SMS interventions. Studying QR codes' direct impact on health, such as improving adherence and health literacy, can deepen understanding of their role in healthcare communication.

5. Conclusions

In conclusion, the survey highlights that QR codes are universally familiar and highly preferred across all educational levels. Mobile technology is preferred for accessing useful information, and most respondents find QR codes easy to use and preferable over leaflets, especially for sharing healthcare information. While the overall familiarity and ease of use with QR codes are consistent across different educational backgrounds, the preference for QR codes over traditional leaflets and their role in facilitating the sharing of healthcare information stand out. The Chi-Square analysis confirms that these patterns are primarily uniform across educational levels, indicating widespread acceptance of QR codes as a modern, convenient tool.

Author Contributions

Conceptualization, O.A. and A.A.( AlWaleed Abushanan); methodology, K.A.; software, R.B.S.; validation, M.A. (Maram Alagla), F.B. and K.A.; formal analysis, A.A. ( AlWaleed Abushanan); investigation, R.B.S.; resources, D.V.; data curation, M.A. (Maram Alagla); writing—original draft preparation, H.G. and A.A(Abdulfatah AlAzmah); writing—review and editing, A.A.; visualization, R.B.S.and D.V.; supervision, O.A. and M.A (Mazin Algahtani).; project administration, F.B. and H.G.; funding acquisition, R.B.S. All authors have read and agreed to the published version of the manuscript.

Funding

This study is supported by the Prince Sattam bin Abdulaziz University project number (2025/03/33724).

Institutional Review Board Statement

The study was conducted in accordance with the Declaration of Helsinki and approved by the Standing Committee of Bioethics Research (SCBR),at Prince Sattam bin Abdulaziz University (PSAU), with approval number SCBR-172/2023 dated 22-10-2023.

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

Available upon suitable request.

Acknowledgments

The authors thank the Deanship of Scientific Research, Prince Sattam bin Abdulaziz University, Al-Kharj, Saudi Arabia, for funding the study via project number (PSAU/2025/R/1446 )& (2025/03/33724).

Conflicts of Interest

The authors declare no conflict of interest.

Abbreviations

QR - Quick Response; PILs - Patient Information Leaflets; KSA - Kingdom of Saudi Arabia; SCBR - Standing Committee of Bioethics Research; PSAU - Prince Sattam Bin Abdulaziz University; SPSS - Statistical Package for the Social Sciences; Stata - Statistical Software; SPS; Inc - SPSS Inc. (Software company); Chi-square - Statistical Test used in the study; GEE - Generalized Estimating Equations

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Figure 1. Demographic characteristics of the study participants. 
Figure 1. Demographic characteristics of the study participants. 
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Figure 2. Age group. 
Figure 2. Age group. 
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Figure 3. Education level. 
Figure 3. Education level. 
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Figure 4. Familiarity with QR codes. 
Figure 4. Familiarity with QR codes. 
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Figure 5. Use of QR codes by gender. 
Figure 5. Use of QR codes by gender. 
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Figure 6. Participants' preferences for accessing useful information through mobile technology. 
Figure 6. Participants' preferences for accessing useful information through mobile technology. 
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Figure 7. Do you need any assistance to use the QR code? 
Figure 7. Do you need any assistance to use the QR code? 
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Figure 8. : How did you feel about the use of the QR code compared to the leaflet? 
Figure 8. : How did you feel about the use of the QR code compared to the leaflet? 
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Figure 9. Would you prefer to use a QR code rather than a leaflet again? 
Figure 9. Would you prefer to use a QR code rather than a leaflet again? 
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Figure 10. Is sharing this health care information to you friends easy with QR code categorized by gender? 
Figure 10. Is sharing this health care information to you friends easy with QR code categorized by gender? 
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Figure 11. :Is sharing this health care information with your friends easy with a QR code categorized by Age group? 
Figure 11. :Is sharing this health care information with your friends easy with a QR code categorized by Age group? 
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Figure 12. Are you familiar with QR codes? 
Figure 12. Are you familiar with QR codes? 
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Figure 13. Have you ever used QR codes? 
Figure 13. Have you ever used QR codes? 
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Figure 14. Do you prefer to have access to helpful information via mobile technology? 
Figure 14. Do you prefer to have access to helpful information via mobile technology? 
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Figure 15. "Do you need assistance to use QR codes? 
Figure 15. "Do you need assistance to use QR codes? 
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Figure 16. How did you feel about the use of the QR code compared to the leaflet? 
Figure 16. How did you feel about the use of the QR code compared to the leaflet? 
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Figure 17. Would you prefer to use a QR code rather than a leaflet again? 
Figure 17. Would you prefer to use a QR code rather than a leaflet again? 
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Figure 18. Is sharing this healthcare information with your friends easy with a QR code? 
Figure 18. Is sharing this healthcare information with your friends easy with a QR code? 
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Table 1. Questionnaire of the Study. 
Table 1. Questionnaire of the Study. 
Question No. Question Options
1 Age
2 Gender
3 Education level
4 Are you familiar with QR codes? A. Yes; B. No
5 Have you ever used QR codes? A. Yes; B. No
6 Do you prefer to have access to useful information by mobile technology? A. Yes; B. No
7 Do you need any assistance to use QR code? A. Yes; B. No
8 How did you feel the use of QR code compared to leaflet? A. Yes; B. No
9 Would you prefer using QR code again rather than a leaflet? A. Yes; B. No
10 Is sharing this healthcare information with your friends easy using QR codes? A. Yes; B. No
Table 2. Comparison of gender with different variables using the chi-square test. 
Table 2. Comparison of gender with different variables using the chi-square test. 
Age group Total
Less than 35 years old Between 35-50 years Larger than 50 years old
Gender Male Count 18 26 3 47
% within Gender 38.3% 55.3% 6.4% 100.0%
Female Count 20 36 15 71
% within Gender 28.2% 50.7% 21.1% 100.0%
Total Count 38 62 18 118
% within Gender 32.2% 52.5% 15.3% 100.0%
Chi square value: 5.046                                p value: 0.080
Table 3. Education Level Comparison Table. 
Table 3. Education Level Comparison Table. 
Education level Total
Primary, middle or secondary certificate Intermediate or high school certificate Bachelor's Master's
Gender Male Count 4 12 25 6 47
% within Gender 8.5% 25.5% 53.2% 12.8% 100.0%
Female Count 5 19 42 5 71
% within Gender 7.0% 26.8% 59.2% 7.0% 100.0%
Total Count 9 31 67 11 118
% within Gender 7.6% 26.3% 56.8% 9.3% 100.0%
Chi square value: 1.267                                p value: 0.737
Table 4. Comparison of gender with different variables using chi-square test. 
Table 4. Comparison of gender with different variables using chi-square test. 
Are you familiar with QR codes? Total
Yes
Gender Male Count 47 47
% within Gender 100.0% 100.0%
Female Count 71 71
% within Gender 100.0% 100.0%
Total Count 118 118
% within Gender 100.0% 100.0%
Chi square value: NA                                p value: NA
Table 5. Comparison of Gender and Prior QR Code Usage. 
Table 5. Comparison of Gender and Prior QR Code Usage. 
Have you ever used QR code? Total
No Yes
Gender Male Count 28 19 47
% within Gender 59.6% 40.4% 100.0%
Female Count 38 33 71
% within Gender 53.5% 46.5% 100.0%
Total Count 66 52 118
% within Gender 55.9% 44.1% 100.0%
Chi square value: 0.420                                p value: 0.517
Table 6. Access to helpful information by mobile technology? 
Table 6. Access to helpful information by mobile technology? 
Do you prefer to have access to useful information by mobile technology? Total
No Yes
Gender Male Count 5 42 47
% within Gender 10.6% 89.4% 100.0%
Female Count 5 66 71
% within Gender 7.0% 93.0% 100.0%
Total Count 10 108 118
% within Gender 8.5% 91.5% 100.0%
Chi square value: 0.471                                p value: 0.492
Table 7. Do you need any assistance to use QR code? 
Table 7. Do you need any assistance to use QR code? 
Do you need any assistance to use QR code? Total
No Yes
Gender Male Count 30 17 47
% within Gender 63.8% 36.2% 100.0%
Female Count 30 41 71
% within Gender 42.3% 57.7% 100.0%
Total Count 60 58 118
% within Gender 50.8% 49.2% 100.0%
Chi square value: 5.268                                p value: 0.022*
(p < 0.05 - Significant*, p < 0.001 - Highly significant**). 
Table 8. Participants' perceptions of using QR codes. 
Table 8. Participants' perceptions of using QR codes. 
How did you feel the use QR code compare to leaflet? Total
No Yes
Gender Male Count 13 34 47
% within Gender 27.7% 72.3% 100.0%
Female Count 10 61 71
% within Gender 14.1% 85.9% 100.0%
Total Count 23 95 118
% within Gender 19.5% 80.5% 100.0%
Chi square value: 3.321                                p value: 0.068
Table 9. Participants' preferences for using QR codes again instead of traditional leaflets, analyzed by gender. 
Table 9. Participants' preferences for using QR codes again instead of traditional leaflets, analyzed by gender. 
Would you prefer using QR code again rather than a leaflet? Total
No Yes
Gender Male Count 7 40 47
% within Gender 14.9% 85.1% 100.0%
Female Count 6 65 71
% within Gender 8.5% 91.5% 100.0%
Total Count 13 105 118
% within Gender 11.0% 89.0% 100.0%
Chi square value: 1.197                                p value: 0.274
Table 10. Ease of sharing healthcare information with friends using QR codes, categorized by gender. 
Table 10. Ease of sharing healthcare information with friends using QR codes, categorized by gender. 
Is sharing this health care information to you friends easy with QR code? Total
No Yes
Gender Male Count 7 40 47
% within Gender 14.9% 85.1% 100.0%
Female Count 8 63 71
% within Gender 11.3% 88.7% 100.0%
Total Count 15 103 118
% within Gender 12.7% 87.3% 100.0%
Chi square value: 0.335                                p value: 0.563
Table 11. Is sharing this health care information with your friends easy with a QR code, categorized by Age group? 
Table 11. Is sharing this health care information with your friends easy with a QR code, categorized by Age group? 
Is sharing this health care information to you friends easy with QR code? Total
No Yes
Age group Less than 35 years old Count 2 36 38
% within Age group 5.3% 94.7% 100.0%
Between 35-50 years Count 9 53 62
% within Age group 14.5% 85.5% 100.0%
Larger than 50 years old Count 4 14 18
% within Age group 22.2% 77.8% 100.0%
Total Count 15 103 118
% within Age group 12.7% 87.3% 100.0%
Chi square value: 3.549                                p value: 0.170
Table 12. QR CODE Survey Results. 
Table 12. QR CODE Survey Results. 
Education Level Are you familiar with QR codes? Have you ever used QR codes? Do you prefer to have access to useful information by mobile technology? Do you need any assistance to use QR code? How did you feel the use of QR codes compare to leaflets? Would you prefer using QR code again rather than a leaflet? Is sharing healthcare information with friends easy using QR codes? Chi-Square Value & p-Value
Primary, middle or secondary certificate Yes (9, 100%) No (4, 44.4%)/Yes (5, 55.6%) No (1, 11.1%)/Yes (8, 88.9%) No (2, 22.2%)/Yes (7, 77.8%) No (4, 44.4%)/Yes (5, 55.6%) No (1, 11.1%)/Yes (8, 88.9%) No (1, 11.1%)/Yes (8, 88.9%) p-value: NA
Intermediate or high school certificate Yes (31, 100%) No (17, 54.8%)/Yes (14, 45.2%) No (4, 12.9%)/Yes (27, 87.1%) No (10, 32.3%)/Yes (21, 67.7%) No (4, 12.9%)/Yes (27, 87.1%) No (4, 12.9%)/Yes (27, 87.1%) No (3, 9.7%)/Yes (28, 90.3%) p-value: 0.398
Bachelor's Yes (67, 100%) No (41, 61.2%)/Yes (26, 38.8%) No (4, 6%)/Yes (63, 94%) No (44, 65.7%)/Yes (23, 34.3%) No (14, 20.9%)/Yes (53, 79.1%) No (7, 10.4%)/Yes (60, 89.6%) No (9, 13.4%)/Yes (58, 86.6%) p-value: 0.153
Master's Yes (11, 100%) No (4, 36.4%)/Yes (7, 63.6%) No (1, 9.1%)/Yes (10, 90.9%) No (4, 36.4%)/Yes (7, 63.6%) No (1, 9.1%)/Yes (10, 90.9%) No (1, 9.1%)/Yes (10, 90.9%) No (2, 18.2%)/Yes (9, 81.8%) p-value: 0.981
Total Yes (118, 100%) No (66, 55.9%)/Yes (52, 44.1%) No (10, 8.5%)/Yes (108, 91.5%) No (60, 50.8%)/Yes (58, 49.2%) No (23, 19.5%)/Yes (95, 80.5%) No (13, 11%)/Yes (105, 89%) No (15, 12.7%)/Yes (103, 87.3%) p-value: 0.170 (Not significant)
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