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Clinical Trial Details — Status: Not yet recruiting

Administrative data

NCT number NCT04961983
Other study ID # 2021.03.1.0515
Secondary ID
Status Not yet recruiting
Phase N/A
First received
Last updated
Start date September 1, 2021
Est. completion date January 31, 2022

Study information

Verified date July 2021
Source Udayana University
Contact Ni Made Sri Nopiyani, MD, MPH
Phone +6281236327788
Email sri.nopiyani@unud.ac.id
Is FDA regulated No
Health authority
Study type Interventional

Clinical Trial Summary

This is a field trial with a randomized pre-test post-test control group design. This trial is the second phase of an exploratory mixed methods research. Prior to this trial, a qualitative study through in-depth interviews to tour guides from 11 language divisions and also policy makers of Indonesian Tour Guide Association Bali branch (HPI Bali). The education model for tour guides were developed based on the integration of theory of planned behavior (TPB) and identity theory. This educational model is expected to improve the behavior of tour guides in providing travel health information to tourists they serve, which is currently still lacking. However, due to the COVID-19 pandemic, the measurement of behavior can not be conducted. Therefore, this trial aims to test the efficacy of the comprehensive education model to improve the indirect and direct determinants of the behavior namely attitude, subjective norms, perceived behavioral control, role identity, actual behavioral control and behavioral intention. The research hypothesis are: 1. The comprehensive travel health education model improves the attitude of tour guides towards providing travel health information to tourists? 2. The comprehensive travel health education model improves the subjective norms of tour guides towards providing travel health information to tourists? 3. The comprehensive travel health education model improves the perceived behavioral control of tour guides in providing travel health information to tourists? 4. The comprehensive travel health education model improves the role identity of tour guides as a travel health promoter for tourists? 5. The comprehensive travel health education model improves the actual behavioral control of tour guides in providing travel health information to tourists? 6. The comprehensive travel health education model improves the intention of tour guides to provide travel health information to tourists?


Description:

1. Study design: This is a field trial with a randomized pre-test post-test control group design. This trial is the second phase of an exploratory mixed methods research. 2. Study setting: Data collection will be conducted in Bali, Indonesia, started from September 2021 to February 2022. 3. Study population: The target population in this study are all general tour guides in Bali, Indonesia. The accessible population are general tour guides who are registered as members of HPI Bali who can be reached during the data collection period. 4. Sample size: The calculation of the minimum sample size in this study was carried out with the assistance of the WHO Sample Size Determination software using the hypothesis test formula for the mean difference of two populations (one-sided). Based on the sample size calculation with the above formula, the minimum sample size for each group is 69 tour guides. Taking into account the drop-out rate of 10%, the number of samples for each group is 76 tour guides. Thus, the total number of samples for intervention and comparison groups in this study is 152 tour guides. 5. Sample selection: The sample selection was carried out with disproportionate stratified random sampling using a sampling frame namely the list of tour guides who are registered as the members of Indonesian Guides Association (HPI) Bali Branch from 11 language divisions. The number of samples in each division for intervention and control group ranged from 5 to 8 subjects. 6. Sample allocation: Permuted block randomization. 7. Study variables: 1. Dependent variable is comprehensive travel health education model. 2. Intermediate variables are: - attitude towards providing travel health information to tourists, - subjective norms towards providing travel health information to tourists, - perceived behavioral control of providing travel health information to tourists, - role identity, - actual behavioral control. 3. Dependent variable is intention to provide travel health information to tourists. 4. Controll variables are: Controlled by design: - history of formal health education, - ownership of a smartphone or laptop with WhatsApp and Zoom application, - familiarity with Zoom usage, - familiarity with WhatsApp usage. Controlled by analysis: - age, - sex, - education, - length of work, - employment status, - tourists' country of origin, - type of tourism activities, - employer's policy. 8. Research instrument: The instrument that will be used in this study is a questionnaire. The measurement using questionnaire will be conducted before the intervention (pre-test) and after the intervention (post-test). The developed questionnaire consists of several parts, namely the identity or socio-demographic characteristics of the subjects, job characteristics, characteristics of tourists served, attitudes, subjective norms, perceived behavioral control, role identity, actual behavior control and behavioral intentions. The questionnaire was developed based on the guidelines for developing a questionnaire for TPB-based interventions and the results of the qualitative study. The assessment for each statement item on the attitude, subjective norm, perceived behavioral control and role identity, uses a Likert scale consisting of seven scales, namely: 1 = strongly disagree, 2 = disagree; 3 = disagree, 4 = undecided, 5 = somewhat agree, 6 = agree; 7 = strongly agree. The questionnaire on the actual behavior control section consists of questions related to knowledge about prevention and first aid for tourism health problems. Questions to measure knowledge were developed based on the material provided during the intervention. The correct answer for each knowledge question will get a score 1, while the wrong or 'do not know' answer will be given a score 0. The questionnaire on the behavioral intention section is also written in statement format. The assessment for each statement item uses a Likert scale consisting of seven scales, namely: a scale of 1 = strongly not intending, 2 = not intending; 3 = lack of intention, 4 = undecided, 5 = somewhat intend, 6 = intend; 7 = very intent. The validity and reliability of the questionnaire will be tested before it being used in data collection. Twenty tour guides will be involved in the pilot test of the questionnaire. If necessary, improvements will be made to the questionnaire based on the test results. The questionnaire is self-administered and will be given to the subjects in digital format. 9. Data analysis: 1. Descriptive statistic Quantitative data obtained from the questionnaire will be analyzed descriptively by calculating the frequency distribution for data on a categorical scale and by calculating the total value, mean, median, standard deviation and range of values from minimum to maximum on continuous scale data. On the variables of attitude, subjective norm, perceived behavioral control, and role identity, a positive statement will get a score of 1 = strongly disagree; 1 = strongly disagree; 2 = disagree; 3 = disagree; 4 = doubtful; 5 = somewhat agree; 6 = agree; 7 = strongly agree. As for negative statements, the score given is the opposite, namely a score of 7 = strongly disagree; 6 = disagree; 5 = disagree; 4 = doubtful; 3 = somewhat agree; 2 = agree; 1 = strongly agree. The actual behavioral control score was 1 for correct answer and 0 for wrong answer and 'do not know' answer. 2. Chi square test Comparison of sample characteristics in the intervention and control groups in terms of control variables (age, gender, education, length of work, employment status, tourists' country of origin, type of tourism activities and employer's policy) was also carried out using the chi square test. Through this test, it will be known whether there are differences in the two groups based on these variables. If the p value > 0.05, the two groups are the same (comparable), whereas if p value ≤ 0.05 then the two groups are different in terms of the variables tested. Variables that have a p value ≤ 0.05 will be tested in multivariate analysis. 3. Normality test Data normality test is conducted to determine whether or not the data on attitude, subjective norms, perceived behavioral control, actual behavior control, role identity and behavioral intentions scores are normally distributed, as a prerequisite for being able to perform parametric statistical tests. Based on the sample size, the normality test will be carried out using the Kolmogorov-Smirnov test. If the normality test produces a p value > 0.05 then the data distribution is normally distributed. On the other hand, the data is not normally distributed if the p ≤ 0.05. 4. Homogeneity test The purpose of the homogeneity test is to find out whether the two groups to be compared have the same variance. According to the sample size, homogeneity test will be carried out using Levene's test. If the results of the homogeneity test show a p value > 0.05 then the variance between groups is homogeneous. On the other hand, if the p value ≤ 0,05, the variance of the two groups is not homogeneous. 5. Mean comparison test The mean comparison test will be conducted to determine whether there is a difference in the mean between the intervention and the control group (difference in the mean of two independent samples). The mean comparison procedure used in this study is the independent samples t test. However, testing with independent samples t test is a parametric test which assumes the data is normally distributed and both groups have the same variance. The interpretation of the test results is that Ho is accepted if the p value > 0.05 or the zero value lies within the confidence interval for the difference in the mean, on the other hand Ho is rejected if the p value ≤ 0,05 or the zero value lies outside the confidence interval for the mean difference of the two groups. If the data is not normally distributed, the data will be transformed. Furthermore, if the transformation cannot make the data normally distributed, the data will be analyzed by non-parametric statistical tests, namely the Mann Whitney U test. In addition to the comparison of the mean between the intervention and comparison groups, a comparison test of the means was also carried out for the control variables. For categorical-scale control variables with two categories, a t-test was performed, such as a comparative analysis of the mean for the intervention and control groups. Meanwhile, for control variables that have more than two categories, an analysis of variance (ANOVA) test will be carried out. If the assumptions for the parametric statistical test are not met, the Kruskal-Wallis test is performed. 6. Multivariate analysis After the bivariate analysis, a multivariate analysis was carried out which aims to control the inter-correlation between the variables under study. In multivariate analysis, all dependent variables are tested simultaneously. If the assumptions for parametric statistical analysis are met, the statistical test used is multivariate analysis of variance (MANOVA). MANOVA is chosen because there is more than one continuous-scale dependent variable to be tested and more than one categorical-scale independent variable with two or more categories. If the assumptions are not met, then a non-parametric MANOVA statistical test is performed.


Recruitment information / eligibility

Status Not yet recruiting
Enrollment 152
Est. completion date January 31, 2022
Est. primary completion date December 31, 2021
Accepts healthy volunteers Accepts Healthy Volunteers
Gender All
Age group 20 Years to 54 Years
Eligibility Inclusion Criteria: 1. Active members of HPI Bali, 2. Age less than 55 years old, 3. Have worked as a tour guide for one year or more, 4. Have a smart phone or laptop that equipped with Zoom and WhatsApp application, 5. Familiar with Zoom meeting, 6. Using WhatsApp actively. Exclusion Criteria: 1. Holding a structural position at HPI Bali, 2. Unwilling to work as a tour guide after the re-opening of tourism, 3. Have a formal health education background, 4. Unwilling to participate in this study.

Study Design


Related Conditions & MeSH terms


Intervention

Behavioral:
Comprehensive Travel Health Education Model
The comprehensive travel health education model consists of: Online training: 10 hours (2 days) online education via Zoom. The topics that will be delivered during the training includes: The potential roles of tour guides in tourists' health, The importance of travel health information for tourists, Assessment of tourist's health risks, Prevention and first aid of various travel health problems Topics related to tour guides will be delivered by the tourism experts, while topics related to travel health will be provided by travel medicine experts, Faculty of Medicine, Udayana University. Participants will also receive a travel health guide book. Weekly travel health Information sharing through WhatsApp group for 2 months.

Locations

Country Name City State
n/a

Sponsors (1)

Lead Sponsor Collaborator
Udayana University

References & Publications (46)

Ajzen I. The theory of planned behaviour is alive and well, and not ready to retire: a commentary on Sniehotta, Presseau, and Araújo-Soares. Health Psychol Rev. 2015;9(2):131-7. doi: 10.1080/17437199.2014.883474. Epub 2014 Feb 12. — View Citation

Ajzen I. The theory of planned behaviour: reactions and reflections. Psychol Health. 2011 Sep;26(9):1113-27. doi: 10.1080/08870446.2011.613995. — View Citation

Alqahtani AS, Tashani M, Heywood AE, Booy R, Rashid H, Wiley KE. Exploring Australian Hajj Tour Operators' Knowledge and Practices Regarding Pilgrims' Health Risks: A Qualitative Study. JMIR Public Health Surveill. 2019 May 23;5(2):e10960. doi: 10.2196/10960. — View Citation

Armitage CJ, Conner M. Efficacy of the Theory of Planned Behaviour: a meta-analytic review. Br J Soc Psychol. 2001 Dec;40(Pt 4):471-99. — View Citation

Avcikurt C, Koroglu O, Koroglu A, Avcikurt AS. HIV/AIDS awareness and attitudes of tour guides in Turkey. Cult Health Sex. 2011 Feb;13(2):233-43. doi: 10.1080/13691058.2010.522733. — View Citation

Bauer I. The health impact of tourism on local and indigenous populations in resource-poor countries. Travel Med Infect Dis. 2008 Sep;6(5):276-91. doi: 10.1016/j.tmaid.2008.05.005. Epub 2008 Aug 9. Review. — View Citation

Bertman V, Petracca F, Makunike-Chikwinya B, Jonga A, Dupwa B, Jenami N, Nartker A, Wall L, Reason L, Kundhlande P, Downer A. Health worker text messaging for blended learning, peer support, and mentoring in pediatric and adolescent HIV/AIDS care: a case study in Zimbabwe. Hum Resour Health. 2019 Jun 7;17(1):41. doi: 10.1186/s12960-019-0364-6. — View Citation

Broglio K. Randomization in Clinical Trials: Permuted Blocks and Stratification. JAMA. 2018 Jun 5;319(21):2223-2224. doi: 10.1001/jama.2018.6360. — View Citation

Cooke R, Dahdah M, Norman P, French DP. How well does the theory of planned behaviour predict alcohol consumption? A systematic review and meta-analysis. Health Psychol Rev. 2016 Jun;10(2):148-67. doi: 10.1080/17437199.2014.947547. Epub 2014 Sep 17. Review. — View Citation

Dunleavy G, Nikolaou CK, Nifakos S, Atun R, Law GCY, Tudor Car L. Mobile Digital Education for Health Professions: Systematic Review and Meta-Analysis by the Digital Health Education Collaboration. J Med Internet Res. 2019 Feb 12;21(2):e12937. doi: 10.2196/12937. — View Citation

Gautret P, Angelo KM, Asgeirsson H, Lalloo DG, Shaw M, Schwartz E, Libman M, Kain KC, Piyaphanee W, Murphy H, Leder K, Vincelette J, Jensenius M, Waggoner J, Leung D, Borwein S, Blumberg L, Schlagenhauf P, Barnett ED, Hamer DH; GeoSentinel Global Surveillance Network. Rabies post-exposure prophylaxis started during or after travel: A GeoSentinel analysis. PLoS Negl Trop Dis. 2018 Nov 13;12(11):e0006951. doi: 10.1371/journal.pntd.0006951. eCollection 2018 Nov. — View Citation

Giovanetti F. Methanol poisoning among travellers to Indonesia. Travel Med Infect Dis. 2013 May-Jun;11(3):190-3. doi: 10.1016/j.tmaid.2013.03.013. Epub 2013 Apr 6. — View Citation

Grech V, Grech P, Fabri S. A risk balancing act - Tourism competition using health leverage in the COVID-19 era. Int J Risk Saf Med. 2020;31(3):121-130. doi: 10.3233/JRS-200042. Review. — View Citation

Hirata K, Ogawa T, Fujikura H, Ogawa Y, Hirai N, Nakagawa-Onishi T, Uno K, Takeyama M, Kasahara K, Nakamura-Uchiyama F, Konishi M, Mikasa K. Characteristics of health problems in returned overseas travelers at a tertiary teaching hospital in a suburban area in Japan. J Infect Chemother. 2018 Aug;24(8):682-685. doi: 10.1016/j.jiac.2018.02.003. Epub 2018 Mar 2. — View Citation

Horvath LL, Murray CK, DuPont HL. Travel health information at commercial travel websites. J Travel Med. 2003 Sep-Oct;10(5):272-8. — View Citation

Hsu SH, Huang HL, Lu CW, Cheng SY, Lee LT, Chiu TY, Huang KC. Tour leaders with detailed knowledge of travel-related diseases play a key role in disease prevention. Medicine (Baltimore). 2018 Feb;97(6):e9806. doi: 10.1097/MD.0000000000009806. — View Citation

Ivatts SL, Plant AJ, Condon RJ. Travel health: perceptions and practices of travel consultants. J Travel Med. 1999 Jun;6(2):76-80. — View Citation

Johansson Århem KM, Gysin N, Nielsen HV, Surya A, Hellgren U. Low and Declining Risk for Malaria in Visitors to Indonesia: A Review of Local Indonesian and European Travelers' Data and a Suggestion for New Prophylactic Guidelines. J Travel Med. 2015 Nov-Dec;22(6):389-95. doi: 10.1111/jtm.12233. Epub 2015 Oct 13. — View Citation

Kemp N, Grieve R. Face-to-face or face-to-screen? Undergraduates' opinions and test performance in classroom vs. online learning. Front Psychol. 2014 Nov 12;5:1278. doi: 10.3389/fpsyg.2014.01278. eCollection 2014. — View Citation

Kolars JC. Rules of the road: a consumer's guide for travelers seeking health care in foreign lands. J Travel Med. 2002 Jul-Aug;9(4):198-201. — View Citation

Kwong JC, Druce JD, Leder K. Zika virus infection acquired during brief travel to Indonesia. Am J Trop Med Hyg. 2013 Sep;89(3):516-7. doi: 10.4269/ajtmh.13-0029. Epub 2013 Jul 22. — View Citation

Leder K, Borwein S, Chanthavanich P, Chatterjee S, Htun K, Marma ASP, Nakatani I, Ok JJ, Pakasi L, Pandey P, Piyaphanee W, Rupali P, Schwartz E, Shinozuka T, Phu PTH, Watanabe H, Visser J, Wilder-Smith A, Zhang M, McGuinness SL. Travel medicine perspectives of select travel medicine experts practicing in the Asia-Pacific region. J Travel Med. 2017 Jul 1;24(4). doi: 10.1093/jtm/tax012. — View Citation

Leggat PA, Zwar NA, Hudson BJ; Travel Health Advisory Group, Australia. Hepatitis B risks and immunisation coverage amongst Australians travelling to southeast Asia and east Asia. Travel Med Infect Dis. 2009 Nov;7(6):344-9. doi: 10.1016/j.tmaid.2009.03.008. Epub 2009 May 9. — View Citation

Lestelle C, Aymeric S, Maakaroun-Vermesse Z, Pouliquen A, Bernard L, Chandenier J, Grammatico-Guillon L. Impact of advice given to travelers concerning the main infectious risks associated with traveling in the tropics. Med Mal Infect. 2015 Jun;45(6):222-8. doi: 10.1016/j.medmal.2015.04.007. Epub 2015 May 27. — View Citation

Liu Q, Peng W, Zhang F, Hu R, Li Y, Yan W. The Effectiveness of Blended Learning in Health Professions: Systematic Review and Meta-Analysis. J Med Internet Res. 2016 Jan 4;18(1):e2. doi: 10.2196/jmir.4807. Review. — View Citation

MacDougall LA, Gyorkos TW, Leffondré K, Abrahamowicz M, Tessier D, Ward BJ, MacLean JD. Increasing referral of at-risk travelers to travel health clinics: evaluation of a health promotion intervention targeted to travel agents. J Travel Med. 2001 Sep-Oct;8(5):232-42. — View Citation

MacIntyre CR, Karki S, Sheikh M, Zwar N, Heywood AE. The role of travel in measles outbreaks in Australia - An enhanced surveillance study. Vaccine. 2016 Aug 17;34(37):4386-91. doi: 10.1016/j.vaccine.2016.07.023. Epub 2016 Jul 19. — View Citation

Marchand C, Merrina F, Gagnayre R, Bouchaud O. A descriptive study of advising practices during travel health consultations in France. J Travel Med. 2017 Sep 1;24(5). doi: 10.1093/jtm/tax042. — View Citation

Masyeni S, Yohan B, Somia IKA, Myint KSA, Sasmono RT. Dengue infection in international travellers visiting Bali, Indonesia. J Travel Med. 2018 Aug 1;25(1). doi: 10.1093/jtm/tay061. — View Citation

McDermott MS, Oliver M, Svenson A, Simnadis T, Beck EJ, Coltman T, Iverson D, Caputi P, Sharma R. The theory of planned behaviour and discrete food choices: a systematic review and meta-analysis. Int J Behav Nutr Phys Act. 2015 Dec 30;12:162. doi: 10.1186/s12966-015-0324-z. Review. — View Citation

Muller JM, Simonet AL, Binois R, Muggeo E, Bugnon P, Liet J, Duong M, Chavanet P, Piroth L. The respect of recommendations provided in an international travelers' medical service: far from the cup to the lips. J Travel Med. 2013 Mar-Apr;20(2):78-82. doi: 10.1111/j.1708-8305.2012.00675.x. Epub 2012 Nov 27. — View Citation

Pavli A, Silvestros C, Patrinos S, Lymperi I, Maltezou HC. Pre-travel preparation practices among business travellers to tropical and subtropical destinations: results from the Athens International Airport Survey. Travel Med Infect Dis. 2014 Jul-Aug;12(4):364-9. doi: 10.1016/j.tmaid.2013.12.004. Epub 2013 Dec 24. — View Citation

Peng Y, Wu X, Atkins S, Zwarentein M, Zhu M, Zhan XX, Zhang F, Ran P, Yan WR. Internet-based health education in China: a content analysis of websites. BMC Med Educ. 2014 Jan 27;14:16. doi: 10.1186/1472-6920-14-16. — View Citation

Raby E, Dyer JR. Endemic (murine) typhus in returned travelers from Asia, a case series: clues to early diagnosis and comparison with dengue. Am J Trop Med Hyg. 2013 Apr;88(4):701-3. doi: 10.4269/ajtmh.12-0590. Epub 2013 Jan 28. — View Citation

Rodriguez-Garcia R. The health-development link: travel as a public health issue. J Community Health. 2001 Apr;26(2):93-112. Review. — View Citation

Rolling T, Mühlenpfordt M, Addo MM, Cramer JP, Vinnemeier CD. Pre-travel advice at a crossroad: Medical preparedness of travellers to South and Southeast-Asia - The Hamburg Airport Survey. Travel Med Infect Dis. 2017 Jul - Aug;18:41-45. doi: 10.1016/j.tmaid.2017.07.008. Epub 2017 Jul 18. — View Citation

Rowe SL, Thevarajan I, Richards J, Gibney K, Simmons CP. The Rise of Imported Dengue Infections in Victoria, Australia, 2010-2016. Trop Med Infect Dis. 2018 Jan 21;3(1). pii: E9. doi: 10.3390/tropicalmed3010009. — View Citation

Sniehotta FF, Presseau J, Araújo-Soares V. Time to retire the theory of planned behaviour. Health Psychol Rev. 2014;8(1):1-7. doi: 10.1080/17437199.2013.869710. Epub 2014 Jan 2. — View Citation

Sohail A, McGuinness SL, Lightowler R, Leder K, Jomon B, Bain CA, Peleg AY. Spectrum of illness among returned Australian travellers from Bali, Indonesia: a 5-year retrospective observational study. Intern Med J. 2019 Jan;49(1):34-40. doi: 10.1111/imj.13993. — View Citation

Steffen R, deBernardis C, Baños A. Travel epidemiology--a global perspective. Int J Antimicrob Agents. 2003 Feb;21(2):89-95. — View Citation

Tappe D, Nemecek A, Zipp F, Emmerich P, Gabriel M, Günther S, Dobler G, Schmidt-Chanasit J, Stich A. Two laboratory-confirmed cases of Japanese encephalitis imported to Germany by travelers returning from Southeast Asia. J Clin Virol. 2012 Jul;54(3):282-5. doi: 10.1016/j.jcv.2012.03.004. Epub 2012 Mar 31. — View Citation

Thomson CA, Gibbs RA, Giele C, Firth MJ, Effler PV. Health Seeking Behaviours and Knowledge of Infectious Disease Risks in Western Australian Travellers to Southeast Asian Destinations: An Airport Survey. Trop Med Infect Dis. 2016 Jul 18;1(1). pii: E3. doi: 10.3390/tropicalmed1010003. — View Citation

Topa G, Moriano JA. Theory of planned behavior and smoking: meta-analysis and SEM model. Subst Abuse Rehabil. 2010 Dec 6;1:23-33. doi: 10.2147/SAR.S15168. eCollection 2010. Review. — View Citation

Wirawan IMA, Putri WCWS, Kurniasari NMD, Mulyawan KH, Hendrayana MA, Suharlim C. Geo-mapping of hazards, risks, and travel health services in Bali: Results from the first stage of the integrated travel health surveillance and information system at destination (TravHeSID) project. Travel Med Infect Dis. 2020 Sep - Oct;37:101698. doi: 10.1016/j.tmaid.2020.101698. Epub 2020 Apr 28. — View Citation

Wirawan IMA, Wirawan DN, Kurniasari NMD, Merati KTP. Travel agent and tour guide perceptions on travel health promotion in Bali. Health Promot Int. 2020 Feb 1;35(1):e43-e50. doi: 10.1093/heapro/day119. — View Citation

Zimmermann R, Hattendorf J, Blum J, Nüesch R, Hatz C. Risk perception of travelers to tropical and subtropical countries visiting a swiss travel health center. J Travel Med. 2013 Jan-Feb;20(1):3-10. doi: 10.1111/j.1708-8305.2012.00671.x. Epub 2012 Nov 26. — View Citation

* Note: There are 46 references in allClick here to view all references

Outcome

Type Measure Description Time frame Safety issue
Primary Mean score of attitude Attitude is a psychological tendency expressed by tour guides towards the behavior of providing travel health information to tourists. Attitude will be measured through a self-administered questionnaire developed based on the TPB questionnaire development guideline. The data measurement scale is ordinal which is expressed on a Likert scale (1 = strongly disagree, 2 = disagree; 3 = disagree, 4 = neutral, 5 = somewhat agree, 6 = agree; 7 = strongly agree). Data will be analysed in interval scale. 3 months
Primary Mean score of subjective norm Subjective norm is the perception of tour guides on the extent to which the behavior of providing health information to tourists is a behavior that is expected by the tourists, by their employers, HPI, and the community. Subjective norms will be measured through a self-administered questionnaire which was developed based on TPB questionnaire development guideline. The measurement scale is ordinal which is expressed on a Likert scale (1 = strongly disagree, 2 = disagree; 3 = disagree, 4 = neutral, 5 = somewhat agree, 6 = agree; 7 = strongly agree). Data will be analysed in interval scale. 3 months
Primary Mean score of perceived behavioral control Perceived behavioral control is the confidence of tour guides in their ability to carry out the behavior of providing information to tourists regarding prevention and first aid of health problems. Perceived behavioral control will be measured through a self-administered questionnaire which was developed based on the TPB questionnaire development guideline. The measurement scale is ordinal which is expressed on a Likert scale (1 = strongly disagree, 2 = disagree; 3 = disagree, 4 = neutral, 5 = somewhat agree, 6 = agree; 7 = strongly agree). Data will be analysed in interval scale. 3 months
Primary Mean score of actual behavioral control Actual behavioral control is tour guide's knowledge about the prevention of travel health problems and first aid to tourists who experience health problems. Actual behavioral control will be measured through a self-administered questionnaire. The measurement scale is ordinal which is expressed on a Likert scale (1 = strongly disagree, 2 = disagree; 3 = disagree, 4 = neutral, 5 = somewhat agree, 6 = agree; 7 = strongly agree). Data will be analysed in interval scale. Knowledge measurement scale is interval. The correct answer for each knowledge question will get a score = 1, while the question with the wrong answer or do not know gets a score = 0. Data will be analysed in interval scale. 3 months
Primary Mean score of role identity Role identity is tour guide's perception of the extent to which the provision of information related to the prevention and first aid of tourism health problems to tourists is a part of the tour guide's role. Role identity will be measured through a self-administered questionnaire.The measurement scale is ordinal which is expressed on a Likert scale (1 = strongly disagree, 2 = disagree; 3 = disagree, 4 = neutral, 5 = somewhat agree, 6 = agree; 7 = strongly agree). Data will be analysed in interval scale. 3 months
Primary Mean score of behavioral intention Behavioral intention is the willingness of tour guides to convey information related to the prevention and first aid of travel health problems to the tourists they serve. Intention will be measured through a self-administered questionnaire which was developed based on the TPB questionnaire development guideline. The data measurement scale is ordinal which is expressed on a Likert scale (1 = strongly disinterested, 2 = not intending; 3 = lack of intention, 4 = neutral, 5 = somewhat intend, 6 = intend; 7 = very intend). Data will be analysed in interval scale. 3 months
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