- 1Road Traffic Injury Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
- 2Department of Health Education & Promotion, School of Health, Tabriz University of Medical Sciences, Tabriz, Iran
- 3Department of Psychology, University of Alabama at Birmingham, Birmingham, AL, United States
Background: Pedestrian injury is a global public health concern. Multi-level community-based health education campaigns offer promise to reduce the burden. The current study investigated the effect of a multi-level intervention based on the socio-ecological model (SEM) to improve pedestrian safety by training health worker supervisors in Iran, with the expectation that they would disseminate their learned knowledge more broadly in the population.
Methods: Eighty-two health worker supervisors in Tabriz, Iran were randomized to an intervention or control group, with 41 assigned to each group. Participants in the intervention group received both live pedestrian safety education and offline training through a virtual WhatsApp group. Messages, pictures, and short videos about pedestrian safety were sent to participants, and solutions were discussed in the group settings. The control group had no training. Self-reported pedestrian behavior was assessed before and after the intervention.
Results: At baseline, there were no significant differences between the intervention (82.48 ± 8.54) and control (81.05 ± 8.55) groups in pedestrian behavior scores (t = 2.01, p = 0.001). After the intervention, the average score of pedestrians’ behaviors of the intervention group increased significantly compared to the control group (87.98 ± 5.83 vs. 80.37 ± 9.03), (t = 3.61, p = 0.0002). All five subscale scores of PBQ, including adherence to traffic rules and recommendation, violations, positive behaviors, distraction, and aggressive behaviors showed similar and significant changes in the intervention group compared to control group.
Conclusion: Application of a multi-level intervention based on the socio-ecological model improved self-reported pedestrian behavior of health worker supervisors. Using multi-level interventions by targeting health workers, who then disseminate their learning to the public, could enhance pedestrian safety across society.
Introduction
Motor vehicle crashes (MVCs) are the eighth leading cause of death globally (1). In Iran, the location of the present research, MVCs are the leading cause of years of life lost (YLL) and the second leading cause of death, after cardiovascular disease. Experts estimate that 2.5% of the world’s MVCs occur in Iran (2). Among MVC victims, pedestrians are particularly vulnerable. In fact, over 30% of MVC fatalities in Iran are pedestrians (3, 4). A wide range of factors place pedestrians at risk for MVCs, including distracted behavior while crossing streets, lack of visibility, and pedestrians’ violation of traffic laws (5, 6). Observational data from Iran support the fact that pedestrians take many risks. In one study, almost 60% of the pedestrians committed violations, including crossing in locations without a crosswalk, crossing intersections diagonally, and crossing the street while distracted (7).
Experts suggest several strategies to improve behavior and reduce traffic injuries. One recommendation is implementation and enforcement of legal policies to increase safety in traffic. These have proven effective in many instances, such as a program to increase law enforcement for seat belt use and speed limits along two US highways, which resulted in significant reduction in the number of crashes (8). Another option is to promote safe behaviors through training programs. Zare et al. (9) reported that an educational program was helpful in promoting the street crossing behavior of child pedestrians, for example, and Zhang et al. (10) found that educational campaign for enhancing adult pedestrian safety, improved overall pedestrian behavior, and that the improvement was most significant for places closest to the locations where campaign activities occurred.
A third option is to implement multi-level community-based health education campaigns. These programs are typically based in behavioral theory such as the social-ecological model (SEM), which suggests multi-level change in the individual, social, physical, organizational, and political environments is most likely to successfully influence and change health behaviors (11–20). Such campaigns are frequently used to successfully increase public awareness of healthy behaviors (21, 22) and have proven successful to reduce MVCs (23–25). In the United States, for instance, campaigns were implemented to successfully increase parents’ safety in using child restraint systems (21). Similarly, an educational campaign to raise seat belt use among teenagers was conducted in Colorado for 2 years and resulted in 20% increase in seat belt use (26). Other programs have used community-based educational campaigns to improve motorcycle helmet use in Thailand (27) and Vietnam (28) through strategies like roadside posters and billboards, radio, television, and social media broadcasts.
An effective strategy to accomplish multi-level community-based pedestrian education is through the train-the-trainer model, whereby health workers are trained first, and then they disseminate their training to citizens (29–31). Iranian Ministry of Health staff have potential to achieve multi-level behavior change through their extensive ties to social networks and communities, and therefore the Ministry of Health uses health workers to distribute wide-ranging health-related information to the community (21). Health workers in Iran generally focus on a wide range of physical and mental health topics, but traffic safety is surprisingly omitted. Since health care workers are considered the stewards of health-related education by the national road traffic safety education program, it is necessary to train them concerning traffic safety behaviors (24). This study worked to educate health worker supervisors about safe pedestrian behavior with the objective that they would learn the material and then share it with their teams and in the community via a multi-level interventional program we developed based on SEM, the Iranian Pedestrian Safety Program for Health Workers (IPSP-HW). We hypothesized the IPSP-HW intervention would create pedestrian safety behavior change among the targeted health worker supervisors.
Materials and methods
Study design and sampling
Health worker supervisors from Tabriz, East Azerbaijan province, Iran, were recruited for a two-stage randomized controlled trial (RCT). At baseline, the health worker supervisors’ pedestrian behavior was assessed through the self-report Iranian Pedestrian Behavior Questionnaire (PBQ; details below). Then, based on the results of this assessment, an intervention program was designed to improve pedestrian behavior among health worker supervisors, with the expectation they would subsequently distribute safety knowledge and encourage behavior change among the populace. Supervisors at 41 health centers in Tabriz were randomly selected as the intervention group and supervisors at a different 41 health centers were randomly selected as the control group. Random assignment was conducted using the website www.random.org with a 1:1 allocation ratio and block size of 6. Random allocation concealment was used. Participant recruitment was straightforward, as all health worker supervisors in Tabriz health centers were eligible. The main challenge was ensuring participant retention, especially in the intervention group, due to the requirement to attend face-to-face sessions and WhatsApp discussions. To address this, reminders were sent via WhatsApp, and participants who missed sessions were directly contacted. Despite these efforts, three participants from each group were excluded due to non-compliance, but this did not affect randomization. Figure 1 displays the study flowchart.
As detailed below, the SEM-based multi-level IPSP-HW intervention involved development of social networks to discuss pedestrian safety through face-to-face classes and a WhatsApp group. Posters regarding safe pedestrian behavior were displayed in the randomly-determined intervention health centers.
Sample size was calculated using the formula of (32). Assuming a mean change score of 10 in pedestrian safety among the intervention group and no change in the control group, a standard deviation of 21, and a 95% confidence level, a sample size of 34 in each group (68 total) was required to achieve 80% power. Considering there are 82 health centers in Tabriz, the research team enrolled health worker supervisors from each center, yielding a sufficient sample size and allowing for modest attrition. Inclusion criteria included working as the health worker supervisor in a health center, willingness to participate in the study, and the ability to stand and walk without the help of others. Exclusion criteria were minimal: not engaging as a pedestrian in the traffic environment or unwillingness to participate. No participants were excluded for these reasons. We also excluded from analysis any participants in the intervention group who were absent for more than one face-to-face class session or who chose not to participate in virtual discussions and any participants in either group who failed to complete study questionnaires. Three participants were excluded from each group for these reasons. All participants completed informed written consent to participate in the study. The protocol was approved by the Ethics Committee of Tabriz University of Medical Sciences (Reference no. IR.TBZMED.REC.1400.967).
Instruments
Outcome data were collected both at baseline and following the intervention in both groups through the self-report Iranian Pedestrian Behavior Questionnaire (PBQ), which was developed by Sadeghi-Bazargani et al. (33). Tailored to Iranian culture, the PBQ contains 29 items, each answered on a 5-point Likert scale, and measures self-reported pedestrian behavior in 5 domains: (1) adherence to traffic safety rules and recommendations (7 items, e.g., I cross the street after all vehicles are stopped and the pedestrian light is green); (2) violations (10 items, e.g., I proceed past signs that say passage forbidden if I feel safe doing so); (3) distraction (4 items, e.g., I cross the street while talking on a cell phone or listening to music with my headphones); (4) positive behavior (6 items, e.g., I let vehicles pass even if I have the right of way); and (5) aggressive behavior (2 items, e.g., If I get angry with a driver’s behavior, I hit or kick their car with my hands or feet). Scores in aggressive behavior, violations, and distraction domains were reversed so that higher scores on all scales reflect safer behaviors. The average content validity coefficient regarding relevancy, clarity, and overall average were 0.86, 0.88, and 0.87, respectively and the questionnaire’s overall Cronbach’s alpha coefficient was 0.84 (33). To calculate the scores presented in Table 1, domain scores were computed by summing the responses for the items within each domain, and the overall pedestrian behavior score was calculated as the sum of these five domain scores. Participants also provided information about their age, level of education, marital status, amount of daily walking, and common methods of transportation.
Intervention program (Iranian pedestrian safety program for health workers: IPSP-HW)
Consistent with SEM, the IPSP-HW intervention was designed to incorporate behavior change from the individual, social, and physical environment levels (see Table 2) (34–36). At the individual level, safe behaviors concerning pedestrian crossing were taught in face-to-face classes and via WhatsApp group. At the social level, social networks were created among health worker supervisors in face-to-face classes and the WhatsApp group. Health worker supervisors encouraged each other to practice safe behaviors. At the physical environment level, posters regarding safe places for pedestrian crossing were installed in health centers.
Baseline questionnaire data were used to identify the risky pedestrian behaviors health worker supervisors reported engaging in most frequently. Six topics were deemed most critical to address in training: (1) using safe methods of pedestrian crossing, such as avoiding diagonal crossing at intersections and squares and negotiating obstacles like bushes and parked cars; (2) selecting safe places to cross, such as using crosswalks and pedestrian bridges; (3) improving visibility while walking, including use of reflectors and the importance of wearing light-colored clothing; (4) transitioning to safe and positive pedestrian behaviors, such as interacting safely with drivers and other pedestrians and avoiding aggressive behaviors; (5) adherence to traffic safety rules and recommendations, including obeying traffic light signals and checking the environment before entering the street; and (6) avoiding use of distracting mobile phones while walking.
The topics were delivered to health worker supervisors in the intervention group through several means over an 8-week intervention period. First, a WhatsApp group, “Pedestrian Safe Behaviors,” was created. Photos, short videos, and text messages regarding the six target topics were posted by the research team in the WhatsApp group. The members of the WhatsApp group discussed their own safe and unsafe traffic behaviors daily. They shared videos and photos of pedestrians’ behaviors and discussed their efforts to improve safety. As anticipated, the health worker supervisors naturally encouraged each other to practice safe traffic behaviors in the WhatsApp group and congratulated each other for successes, creating a social, emotional, and informational support network that promoted safe pedestrian traffic behavior.
Second, the six topics were taught in an interactive and participatory manner to the health worker supervisors in a face-to-face classroom setting. All training was based on a problem-solving approach (37). Problems relevant to the six pedestrian safety topics were introduced to the health worker supervisors in the form of documentary videos taken by police cameras. Health worker supervisors discussed those problems and identified solutions to them. Following the discussion, researchers shared common causes of pedestrian injuries, prevention strategies, and suitable alternatives to preserve safety.
Third, a poster regarding safe pedestrian behavior was installed weekly at the randomly-assigned intervention group health centers. Posters addressed the 6 target topics and were rotated weekly. Additionally, text messages about safe places to cross streets near the intervention center were sent to the health worker supervisors in the intervention group on two occasions, at the start of the intervention period and again in the middle of it. Two months after the IPSP-HW ended, participants in both groups completed the same self-report questionnaire that they had completed at baseline.
Data analysis
Data were summarized with mean and standard deviation (quantitative measures) or frequency and percentage (qualitative data). To assure randomization created similar groups, chi-square test was used to compare characteristics of the two groups at the beginning of the study. Primary hypotheses were tested with two series of t-tests, paired samples t-tests to compare change in outcome measures within the two randomly-assigned groups and independent samples t-tests to compare results between the two groups at the end of the study. Stata version 17 was used for all data analyses.
Results
Table 3 shows demographic characteristics of the participants. As expected through randomization, there were no significant differences between the intervention and control groups. The sample was entirely women, which matches typical demographics of health worker supervisors in Iran.
Table 1 shows PBQ data for both groups and at both time points, as well as paired-sample t-test results evaluating change over time within groups and independent samples t-test results comparing the two randomly-assigned groups. At baseline, independent samples t-tests confirmed no statistically significant differences between the intervention and control groups in overall pedestrian behavior scores (82.48 ± 8.54 vs. 81.05 ± 8.55, t = 1.13, p = 0.466) or in any of the five subscales (p-values ranging from 0.108 to 0.917). This indicates that randomization successfully created comparable groups before the intervention.
Following the intervention, paired sample t-tests indicate change over time in the intervention group but not in the control group. As shown, in the intervention group both overall pedestrian behavior (from 82.48 ± 8.54 to 87.98 ± 5.83, t = 2.01, p = 0.001) and all 5 PBQ subscales (p values range from 0.008 to 0.048) showed significant change from baseline to post-intervention. There were no significant changes in the control group for the overall pedestrian behavior score (from 81.05 ± 8.55 to 80.37 ± 9.03, t = −1.37, p = 0.181) or any of the 5 subscales (p values range from 0.184 to 0.832).
Independent samples t-test results comparing the two randomly-assigned groups were statistically significant at all post-intervention assessment points, both for the overall pedestrian safety score (87.98 ± 5.83 in IPSP-HW intervention group vs. 80.37 ± 9.03 in control group, t = 3.61, p = 0.0002) and for all 5 PBQ subscales (p values range from 0.001 to 0.016). As expected, the comparison between randomly-assigned groups was not significant at baseline for the overall pedestrian behavior score (82.48 ± 8.54 in IPSP-HW vs. 81.95 ± 8.55 in control, t = 1.13, p = 0.466) or for any of the 5 subscales (p values range from 0.126 to 0.917). Figure 2 displays changes in the total pedestrian behavior score graphically.

Figure 2. Changes of overall pedestrian behavior across the two study groups and over time. P1: p-value of paired samples t-tests in the intervention group, P2: p-value of paired samples t-tests in the control group, P3: p-value of independent samples t-tests at the post-intervention stage.
Discussion
Our results suggest the SEM-based IPSP-HW intervention was effective in improving pedestrian safety behaviors among Iranian health worker supervisors. The average pedestrian behavior scores were similar across randomly-assigned groups at baseline (p = 0.466) and statistically different after the intervention (p = 0.0002), with scores in the IPSP-HW intervention group increasing an average of over 5 points (p = 0.001). The most substantial improvements were observed in the “adherence to traffic safety rules and recommendations” and “violations” subscales. These two domains showed the highest increases in mean scores post-intervention, indicating that participants in the intervention group exhibited significantly safer behaviors in following traffic rules and reducing pedestrian violations. Other subscales, including “distraction,” “positive behavior,” and “aggressive behavior,” also showed statistically significant improvements, but the effect sizes were comparatively smaller.
Our findings replicate previous research suggesting multi-level education is effective to alter health risk behavior among a target group (38, 39). At the individual level, we were successful in training health worker supervisors to refrain from crossing streets distracted and adhere to traffic regulations. At the physical environmental level, we successfully introduced information concerning safe locations for pedestrians to cross the street. At the social environment level, we were successful in training health worker supervisors to engage in positive pedestrian behaviors such as interacting safely with drivers and avoiding aggressive behavior. The various levels of a multi-level interventions have synergistic effects and can be jointly effective in enhancing health behaviors (5, 11, 12, 14, 18–20).
The Ministry of Health is considered the primary steward of traffic safety behavior training in Iran’s national road traffic safety education program (24), and health workers offer a unique strategy to train the populace in pedestrian safety behaviors (40). In Iran, it is common to teach people health-related behaviors through health workers and the train-the-trainer model. The model has been demonstrated effective in a range of settings and on a range of topics (29–31). MVCs are the second leading cause of death in Iran, but health care workers do not typically offer training in safe traffic behaviors. The results of the present study suggest the training of health worker supervisors has potential to affect their traffic behavior. With broad training, health worker supervisors could train the employees working under them in public health worker offices, who could then spread training for safe traffic behaviors among the public (29–31). Repeated research suggests people change their behavior to match the behavior of others. Through initiation of safe behavior by some individuals, especially respected individuals like health workers, society-wide behavior change can be created (5, 11, 12, 14, 16–19).
The WhatsApp-based virtual training in the intervention proved effective due to several key factors. It offered flexibility, allowing participants to engage with content at their own pace, which was essential for busy health worker supervisors. The platform fostered social support, where participants shared experiences, creating a sense of accountability and motivation. Continuous engagement was maintained through regular updates and peer discussions, which reinforced learning. Additionally, participants shared positive examples of safe behaviors, promoting peer modeling. The cost-effectiveness and scalability of WhatsApp-based training enabled widespread reach with minimal logistical effort, contributing to the intervention’s success. Given its effectiveness, we can consider this platform in future projects as a scalable and cost-efficient tool for health behavior interventions. Scaling up the WhatsApp-based virtual training may face barriers such as limited access to technology in some regions, cultural and linguistic differences, health literacy challenges, and resistance to technology, especially among older adults. Resource constraints, insufficient training capacity, and the need for continuous engagement also pose challenges. Additionally, adapting the intervention to local contexts, including traffic regulations and safety issues, will be essential for its effectiveness.
The current study offers several strengths. It introduced a comprehensive, theory-based multi-level intervention to alter the traffic behavior of health worker supervisors and intervened to promote safe traffic behaviors among them. The training was problem-based and both individualized and socially interactive. The study also had limitations. First, we relied entirely on self-report questionnaires to assess outcomes. Future research should consider behavioral or observational measures of pedestrian behavior to assess intervention effectiveness. Second, our sample was entirely women. Although this is consistent with the composition of health workers in Iran, future research may consider ways to incorporate training of men into the program.
Conclusion
The present study improved the self-reported pedestrian behavior of health worker supervisors in Iran using a theory-based intervention, IPSP-HW that incorporated training of safe pedestrian behaviors, creating and developing social networks, leveraging virtual networks to increase social support for safe behaviors, and identifying safe locations for pedestrian crossing. Utilization of multi-level interventions by targeting health workers, who then disseminate their learning to the public through a train-the-trainers model, could improve pedestrian safety across society.
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
The studies involving humans were approved by Ethics Committee of Tabriz University of Medical Sciences. 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.
Author contributions
SH-J: Methodology, Writing – original draft, Formal analysis, Software, Writing – review & editing, Data curation. MV: Conceptualization, Writing – original draft, Investigation, Data curation. DS: Writing – review & editing, Investigation. HS-b: Conceptualization, Data curation, Supervision, Writing – review & editing. FA: Writing – review & editing, Conceptualization, Methodology, Supervision, Writing – original draft. HA: Writing – review & editing.
Funding
The author(s) declare that no financial support was received for the research and/or publication of this article.
Acknowledgments
The authors express their gratitude to the Tabriz University of Medical Sciences and the staff of the Road Traffic Injury Research Center for their cooperation.
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.
Publisher’s note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
References
1. Lozano, R, Naghavi, M, Foreman, K, Lim, S, Shibuya, K, Aboyans, V, et al. Global and regional mortality from 235 causes of death for 20 age groups in 1990 and 2010: a systematic analysis for the global burden of disease study 2010. Lancet. (2012) 380:2095–128. doi: 10.1016/S0140-6736(12)61728-0
2. Seif, M, Edalat, S, Shirazi, AMA, Alipouri, S, and Bayati, M. Prediction of the burden of road traffic injuries in Iran by 2030: prevalence, death, and disability-adjusted life years. Chin J Traumatol. (2024) 27:242–8. doi: 10.1016/j.cjtee.2024.02.004
3. Rahimi, A, Kazemi, M, and Movaghari, H. An accident prediction model for fatalities in rural areas. Traffic Manage Stud. (2012) 6:29–46.
4. Sadeghi-Bazargani, H, Samadirad, B, and Moslemi, F. A decade of road traffic fatalities among the elderly in north-West Iran. BMC Public Health. (2018) 18:111. doi: 10.1186/s12889-017-4976-2
5. Aghdam, FB, Ghasemi, M, Zarghami, F, Jadidi, SH, Sadeghi-Bazargani, H, Ponnet, K, et al. The role of socioeconomic and cognitive status in determining traffic behaviour of elderly pedestrians in Iran: a cross-sectional study. J Road Saf. (2024) 35:40–51. doi: 10.33492/JRS-D-24-1-2124916
6. Luoma, J, and Peltola, H. Does facing traffic improve pedestrian safety? Accid Anal Prev. (2013) 50:1207–10. doi: 10.1016/j.aap.2012.09.023
7. BakhtariAghdam, F, Aliasgharzadeh, S, Sadeghi-Bazargani, H, and Harzand-Jadidi, S. Pedestrians’ unsafe road-crossing behaviors in Iran: an observational-based study in West Azerbaijan. Traffic Inj Prev. (2023) 24:638–44. doi: 10.1080/15389588.2023.2237152
8. Rezapour Mashhadi, MM, Saha, P, and Ksaibati, K. Impact of traffic enforcement on traffic safety. Int J Police Sci Manage. (2017) 19:238–46. doi: 10.1177/1461355717730836
9. Zare, H, Niknami, S, Heidarnia, A, and Fallah, MH. Improving safe street-crossing behaviors among primary school students: a randomized controlled trial. Health Promot Perspect. (2018) 8:308–14. doi: 10.15171/hpp.2018.44
10. Zhang, Y, Gawade, M, Lin, PS, and McPherson, T. Educational campaign for improving pedestrian safety: a university campus study. Procedia Soc Behav Sci. (2013) 96:2756–66. doi: 10.1016/j.sbspro.2013.08.309
11. Aghdam, FB, Ahmadzadeh, S, Hassanalizadeh, Z, Ebrahimi, F, Sabzmakan, L, and Javadivala, Z. The effect of maternal employment on the elementary and junior high school students’ mental health in Maku. Global J Health Sci. (2015) 7:379. doi: 10.5539/gjhs.v7n2p379
12. Aghdam, FB, Alamdari, ZD, Nadrian, H, Jafarabadi, MA, and Dehghanzadeh, R. Personal, social, and environmental factors associated with the behavior of plastic bag use among urban residents: a study with socioecological approach. Int J Prev Med. (2019) 10:160. doi: 10.4103/ijpvm.IJPVM_341_17
13. Aghdam, FB, Moghaddam, MHB, Jafarabadi, MA, Allahverdipour, H, Nikookheslat, SD, and Nourizadeh, R. Explaining the role of personal, social and physical environment factors on employed women's physical activity: a structural equation analysis. Global J Health Sci. (2013) 5:189. doi: 10.5539/gjhs.v5n4p189
14. Aghdam, FB, Sadeghi-Bazargani, H, Shahsavarinia, K, Jafari, F, Jahangiry, L, and Gilani, N. Investigating the COVID-19 related behaviors in the public transport system. Arch Public Health. (2021) 79:1–8. doi: 10.1186/s13690-021-00702-4
15. Baghianimoghaddam, MH, Bakhtari-Aghdam, F, Asghari-Jafarabadi, M, Allahverdipour, H, Dabagh-Nikookheslat, S, and Nourizadeh, R. The effect of a pedometer-based program improvement of physical activity in Tabriz university employees. Int J Prev Med. (2016) 7:50. doi: 10.4103/2008-7802.177897
16. Aghdam, FB, Alizadeh, N, Nadrian, H, Augner, C, and Mohammadpoorasl, A. Effects of a multi-level intervention on hookah smoking frequency and duration among Iranian adolescents and adults: an application of socio-ecological model. BMC public health. (2021) 21:1–9. doi: 10.1186/s12889-021-10219-8
17. Bakhtari, F, Mohammadpoorasl, A, Nadrian, H, Alizadeh, N, Jahangiry, L, and Ponnet, K. Determinants of hookah smoking among men in the coffee houses: an application of socio-ecological approach. Subst Abuse Treat Prev Policy. (2020) 15:1–6. doi: 10.1186/s13011-020-00305-2
18. Bakhtari, F, Nadrian, H, Matlabi, H, Sarbakhsh, P, and Bidar, M. Personal, interpersonal, and organizational predictors of the mode of delivery among urban women: a prospective study with socio-ecological approach. Clin Nurs Res. (2019) 28:280–97. doi: 10.1177/1054773817740530
19. Harzand-Jadidi, S, Sadeghi-Bazargani, H, Ponnet, K, Jamali-Dolatabad, M, Minuzzo, B, Kamrani, A, et al. Parents’ knowledge and socio-demographic determinants toward child’s restraint system use. BMC Pediatr. (2023) 23:1–10. doi: 10.1186/s12887-023-04136-5
20. van Zijl, S, Morroni, C, and van der Spuy, Z. A survey to assess knowledge and acceptability of the intrauterine device in the Family Planning Services in Cape Town, South Africa. J Fam Plann Reprod Health Care. (2010) 36:73–8. doi: 10.1783/147118910791069367
21. Ebel, BE, Koepsell, TD, Bennett, EE, and Rivara, FP. Use of child booster seats in motor vehicles following a community campaign: a controlled trial. JAMA. (2003) 289:879–84. doi: 10.1001/jama.289.7.879
22. Temsah, M-H, Aljamaan, F, Alhaboob, A, Almosned, B, Alsebail, R, Temsah, R, et al. Enhancing parental knowledge of childhood and adolescence safety: an interventional educational campaign. Medicine. (2022) 101:e28649. doi: 10.1097/MD.0000000000028649
23. Alonso Plá, FM, Esteban Martínez, C, Useche, SA, and Manso, PV. Determinants and stakeholders influencing children's road safety education. Int J Elem Educ. (2016) 5:63–8. doi: 10.11648/j.ijeedu.20160506.12
24. Bakhtari Aghdam, F, Sadeghi-Bazargani, H, Azami-Aghdash, S, Esmaeili, A, Panahi, H, Khazaee-Pool, M, et al. Developing a national road traffic safety education program in Iran. BMC Public Health. (2020) 20:1–13. doi: 10.1186/s12889-020-09142-1
25. Kitamura, Y, Hayashi, M, and Yagi, E. Traffic problems in Southeast Asia featuring the case of Cambodia's traffic accidents involving motorcycles. IATSS Res. (2018) 42:163–70. doi: 10.1016/j.iatssr.2018.11.001
26. Akbari, M, Lankarani, KB, Tabrizi, R, Heydari, ST, Vali, M, Motevalian, SA, et al. The effectiveness of mass media campaigns in increasing the use of seat belts: a systematic review. Traffic Inj Prev. (2021) 22:495–500. doi: 10.1080/15389588.2021.1921168
27. Akbari, M, Lankarani, KB, Tabrizi, R, Vali, M, Heydari, ST, Motevalian, SA, et al. The effect of motorcycle safety campaign on helmet use: a systematic review and meta-analysis. IATSS Res. (2021) 45:513–20. doi: 10.1016/j.iatssr.2021.06.001
28. Parker, L, Son, MTH, Parker, EM, Moore, MR, Sidik, M, and Draisin, N. Evaluation of an integrated multisector campaign to increase child helmet use in Vietnam. Inj Prev. (2019) 25:206–10. doi: 10.1136/injuryprev-2017-042517
29. Marks, B, Sisirak, J, and Chang, YC. Efficacy of the HealthMatters program train-the-trainer model. J Appl Res Intellect Disabil. (2013) 26:319–34. doi: 10.1111/jar.12045
30. Poitras, M-E, Bélanger, E, Vaillancourt, VT, Kienlin, S, Körner, M, Godbout, I, et al. Interventions to improve trainers' learning and behaviors for educating health care professionals using train-the-trainer method: a systematic review and meta-analysis. J Contin Educ Health Prof. (2021) 41:202–9. doi: 10.1097/CEH.0000000000000375
31. Peck, J. A train-the-trainer programme to deliver high quality education for healthcare providers. Anti-traffick rev. (2021) 17:140–7. doi: 10.14197/atr.201221179
32. Kim, H. Statistical notes for clinical researchers: sample size calculation 1. Comparison of two independent sample means. Restor Dent Endod. (2016) 41:74–8. doi: 10.5395/rde.2016.41.1.74
33. Bazargan, HS, Haghighi, M, Heydari, ST, Soori, H, Shahkolai, FR, Motevalian, SA, et al. Developing and validating a measurement tool to self-report pedestrian safety-related behavior: the pedestrian behavior questionnaire (PBQ). Bull Emerg Trauma. (2020) 8:229. doi: 10.30476/beat.2020.86488
34. Assailly, J. Road safety education: what works? Patient Educ Couns. (2017) 100:S24–9. doi: 10.1016/j.pec.2015.10.017
35. Haghighi, M, Nadrian, H, Sadeghi-Bazargani, H, Hdr, DB, and Bakhtari, AF. Challenges related to pedestrian safety: a qualitative study identifying Iranian residents’ perspectives. Int J Inj Control Saf Promot. (2020) 27:327–35. doi: 10.1080/17457300.2020.1774621
36. Zavareh, DK, Bohm, K, Khankeh, H, Talebian, MT, Mohammadi, R, Bigdeli, M, et al. Why should being visible on the road? A challenge to prevent road traffic injuries among pedestrians in Iran. J Inj Violence Res. (2015) 7:93. doi: 10.5249/jivr.v7i2.490
37. Shaheian, K, Sadeghi-Bazargani, H, Kousha, A, Ponnet, K, and Jahangiry, L. Drivers' unsafe behaviors in Iran: an investigation in West Azerbaijan. Front Public Health. (2022) 10:10. doi: 10.3389/fpubh.2022.815380
38. Ebrahimi Ghavam, S, Delavar, A, Momeni, E, Rafie, H-R, and Zoghi, L. Developing a training package on traffic behavior and determining its effectiveness on first-grade elementary school children's learning. Police Knowl J. (2017) 19:96–117.
39. Zare, H, Niknami, S, Heidarnia, A, and Fallah, MH. Traffic safety education for child pedestrians: a randomized controlled trial with active learning approach to develop street-crossing behaviors. Transport Res F: Traffic Psychol Behav. (2019) 60:734–42. doi: 10.1016/j.trf.2018.10.021
Keywords: traffic accident, pedestrians, safe behavior, health workers, socio-ecological model, multi-level intervention
Citation: Harzand-Jadidi S, Vatandoost M, Schwebel DC, Sadeghi-bazargani H, Bakhtari Aghdam F and Allahverdipour H (2025) Effects of a multi-level intervention on pedestrians’ behavior among Iranian health worker supervisors: a randomized controlled trial. Front. Public Health. 13:1485934. doi: 10.3389/fpubh.2025.1485934
Edited by:
Mustapha Amoadu, University of Cape Coast, GhanaReviewed by:
Abbas Sheykhfard, Texas Southern University, United StatesXianyang Chen, Bao Feng Key Laboratory of Genetics and Metabolism, China
Copyright © 2025 Harzand-Jadidi, Vatandoost, Schwebel, Sadeghi-bazargani, Bakhtari Aghdam and Allahverdipour. 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: Fatemeh Bakhtari Aghdam, ZmF0ZW1laC5iYWtodGFyaUBnbWFpbC5jb20=