Validity and reliability of an instrument assessing the associated factors for preventive behavior towards dengue

Authors

  • Noraini Abdul Ghafar Department of Community Health, Faculty of Medicine, National University of Malaysia
  • Shamsul Azhar Shah Department of Community Health, Faculty of Medicine, National University of Malaysia

DOI:

https://doi.org/10.18203/2394-6040.ijcmph20170252

Keywords:

Dengue, Preventive behavior, Reliability, Validity

Abstract

Background: Dengue is one of the most important vector-borne diseases in Malaysia. Government efforts alone are not sufficient in preventing the disease if people continue to allow the widespread mosquito breeding in their housing compound. Individual or community behavior is an important factor in the prevention of dengue. However, there is no standard instrument to measure the associated factors of dengue preventive behavior. This study commenced to validate and assess the reliability of a newly developed instrument for the constructs measuring factors associated with dengue preventive behavior.

Methods: A total of 327 respondents involved in this pilot study, which is a preliminary study to a larger scale study. Exploratory factor analysis (EFA) was employed to explore underlying constructs of the latent variables.

Results: From the EFA, 10 factors (knowledge regarding dengue, behavior toward dengue prevention, fear and awareness toward dengue, motivation to adopt preventive behavior, medical practices for dengue fever, cooperation in dengue prevention, perceived susceptibility of dengue, perceived severity of dengue, perceived benefit from practicing dengue preventive behavior, and perceived barrier toward dengue preventive behavior) emerged contributing 63.1 percent of the total variance with the reliability of 0.791.

Conclusions: The questionnaire is valid and reliable to measure the associated factors of preventive behavior toward dengue.

References

Ang KT, Satwant S. Epidemiology and new initiatives in the prevention and control of dengue in Malaysia. Dengue bulletin. 2001;25:7-14.

Barrera R, Amador M, MacKay AJ. Population dynamics of Aedes aegypti and dengue as influenced by weather and human behavior in San Juan, Puerto Rico. PLOS Negl Trop Dis. 2011;5(12):1-9.

Abdo Radman S, Ganasegeran K, Alwan MR, Ahmed M, Saif-Ali R. factors affecting dengue fever: knowledge, attitudes and practices among selected urban, semi-urban and rural communities in Malaysia. Southeast Asian. J Trop Med Public Health. 2010;44(1):37-49.

Naing C, Wong YR, Chan YM, Koh PF, Chua Q, Choo NN, et al. Awareness of dengue and practice of dengue control among the semi-urban community: a cross sectional survey. J Comm Health. 2011;36(6):1044-9.

Rozita WWM, Yap BW, Veronica S, Muhammad AK, Lim KH, Sumarni MG. Knowledge, attitude and practice (KAP) survey on dengue fever in an urban Malay residential area in Kuala Lumpur. Malaysian J Public Health Med. 2006;6(2):62-7.

Ministry of Health Malaysia. Press Statement by Director General of Health Malaysia on Dengue Fever Situation in year 2011 in Malaysia for Week 52/2011 (25th to 31st December 2011). Available at: moh.gov.my/modules_resources/ english/ database_stores/.../78.pdf Assessed 10th February 2014.

Ministry of Health Malaysia. Press Statement by Director General of Health Malaysia on Dengue Fever Situation in 2012 in Malaysia for Week 52/2012 (23rd to 29th December 2012). Available at: www.moh.gov.my/index.php/ database_stores/attach.../337/567. Assessed 10th February 2014.

Ministry of Health Malaysia. Press Statement by Deputy Director General of Health Malaysia (Public Health) on Dengue Fever Situation in 2013 in Malaysia for Week 52/2013 (22nd to 28th December 2013). Available at: www.moh.gov.my/index.php/database_stores/attach.../337/458. Assessed 12th February 14.

Ministry of Health Malaysia. Press Statement by Deputy Director General of Health Malaysia (Public Health) on Dengue Fever Situation in 2014 in Malaysia for Week 52/2014 (14th to 20th December 2014). Available at: www.moh.gov.my/index.php/database_stores/attach.../337/448 Assessed 3rd March 2015.

Mudin RN. Dengue incidence and the prevention and control program in Malaysia. Int Med J Malaysia. 2015;14(1):5-9.

Zaki MAH, Brett J, Ismail E, Azou ML. Epidemiology of dengue disease in Malaysia (2000-2012): a systematic literature review. PLOS Neglected Tropical Diseases. 2014;8(11):1-9.

Hemingway H, Marmot M. Psychosocial factors in the aetiology and prognosis of coronary heart disease: systematic review of prospective cohort studies. BMJ. 1999;318:1460-7.

Rosenblueth A, Wiener N, Bigelow J. Behavior, purpose and teleology. Philosophy Sc. 2008;10(1): 18-24.

Janz NK, Becker MH. The Health Belief Model: a decade later. Health education quarterly. 1984; 11(1):1-47.

Strategic planning for dengue prevention and control 2009-2013. Ministry of Health Malaysia. 12-14.

Community guidelines on Communication for Behavioral Impact (COMBI) Community guidelines: Strategy in social mobilization and communication for dengue prevention and control. Health Education Department, Ministry of Health Malaysia. 18-21.

Egan M, Tannahill C, Petticrew M, Thomas S. Psychosocial risk factors in home and community settings and their associations with population health and health inequalities: A systematic meta-review. BMC Public Health. 2008;8:239-52.

Koenraadt CM, Tuten W, Sithiprasasna R, Kijchalao U, Jones JW, Scott TW. Dengue knowledge and practices and their impact on Aedes aegypti populations in Kamphaeng Phet, Thailand. Am J Trop Med Hyg. 2006;74(4):692-700.

Phuanukoonnon P, Brough M, Bryan JH. Folk Knowledge about dengue mosquitoes and contributions of Health Belief Model in dengue control promotion in northeast Thailand. J Acta Tropica. 2006.

Toledo ME, Baly A, Vanlerberghe E, Rodriguez M, Benitez JR, Duvergel J, Stuyf PV. The unbearable lightness of technocratic efforts at dengue control. Trop Med Int Health. 2008;13(5):728-36.

Vanlerberghe V, Toledo ME, Rodriguez M, Gomez D, Baly A, Benitez JR, Stuyft PV. Community involvement in dengue vector control: cluster randomised trial. BMJ. 2009;338-346.

Weissfeld JL, Brock BM, Kirscht JP, Hawthorne VM. Reliability of Health Belief indexes: Confirmatory Factor Analysis in sex, race, and age subgroups. Health Serv Res. 1987;21(6):777-793.

Winch PJ, Leontsini E, Perez JG, Mervin RP, Clark GG, Gubler DJ. Community-based dengue prevention programs in Puerto Rico: Impact on knowledge, behavior, and residential mosquito infestation. Am J Trop Med Hygiene. 2002;67(4): 363-70.

Wong LP, Sazaly AB. Health beliefs and practices related to dengue fever: a focus group study. PLOS Neg Trop Dis. 2013;7(7):1-9.

Costello AB, Osborne JW. Best practices in Exploratory Factor Analysis: four recommendations for getting the most from your analysis. Prac Assessment Res Eval. 2005;10(7):1-9.

MacCallum RC, Widaman KF, Preacher DK, Hong SH. Sample size in factor analysis: The role of model error. Multivariate Beh R. 2001;36(4):611-37.

Rattray J, Jones MC. Essential elements of questionnaire design and development. J Clin Nursing. 2005;16:234-43.

Parsa P, Kandiah M, Mohd Nasir MT, Hejar AR, Nor Afiah MZ. Reliability and validity of Champion’s Health Belief Model scale for breast cancer screening among Malaysian women. Singapore Med J. 2008;49(11):897-903.

Williams B, Brown T, Onsman A. Exploratory factor analysis: a five-step guide for novices. Australasian J Para. 2012;8(3):1-14.

Yong AG, Pearce A. Beginner’s guide to factor analysis: focusing on Exploratory Factor Analysis. Tutorials in Quantitative Methods for Psychology. 2013;2:79-94

Awang Z. A Handbook on Structural Equation Modeling for Academicians and Practitioners. 1st ed. Bangi, MY: MPWS; 2012:50-78.

Tabachnick BG, Fidell LS. Using multivariate statistics in Experimental designs using ANOVA. 1st ed. California State University, USA: Northridge; 2007. 30-32.

Florindo AA, Rosario MD. Validation and reliability of the Baecke questionnaire for the evaluation of habitual physical activity in adult men. Rev Brasillian Med Exp. 2003;9(3):129-35.

Osborne JW. What is rotating in Exploratory Factor Analysis. Prac Assessment, Res & Eval. 2015;20(2):1-7.

Bryman A, Cramer D. Quantitative data analysis with SPSS for windows: A guide for social scientists. 2nd ed. London, UK: Routledge; 1998:23-6.

Clark CJ, Henderson KM, Mendes de Leon CF, Guo H, Scott L, Evans DA, Rose SA. Latent constructs in psychosocial factors associated with cardiovascular disease: an examination by race and sex. Frontiers in Psyc. 2012;3(5):1-9.

Kamisah O, Lilia H, Subahan MM. Instrument construction to identify perceived currents needs of science teachers in Malaysia. J Teachers Teaching. 2006;21:101-13.

Karatza E, Kourou D, Galanakis M, Varvogli L, Darviri C. Validation of the Greek version of Perceived Stress Questionnaire: Psychometric properties and factor structure in a population-based survey. Psychology. 2014;5:1268-84.

Nunnally JC. Psychometric theory. 2nd edition. New York, USA: McGraw-Hill. 1978:12-4.

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Published

2017-01-25

How to Cite

Ghafar, N. A., & Shah, S. A. (2017). Validity and reliability of an instrument assessing the associated factors for preventive behavior towards dengue. International Journal Of Community Medicine And Public Health, 4(2), 340–347. https://doi.org/10.18203/2394-6040.ijcmph20170252

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Original Research Articles