Lana Alhalaseh1, Hanan Fayoumi2, Bayan Khalil2. 1. Department of Family and Community Medicine, School of Medicine, University of Jordan. Amman, Jordan. Electronic address: l.halaseh@ju.edu.jo. 2. Department of Family and Community Medicine, School of Medicine, University of Jordan. Amman, Jordan.
Abstract
BACKGROUND: Theories of health behavior change are being inadequately adopted to understand the reasons behind low influenza vaccination rates among healthcare workers (HCWs). The Theory of Planned Behavior (TPB) is being used to predict intention-behavior relationship while the Health Belief Model (HBM) is being employed to predict actual behavior. The purpose of this study was to test a conceptual model based on the HBM's constructs to predict Jordanian HCWs' intentions for influenza vaccine uptake as an alternative to the TPB. METHOD: A cross-sectional questionnaire-based study was conducted in 2016 in a tertiary teaching hospital in Amman-Jordan including a convenience sample of 477 HCWs with direct patient contact. The study instrument was tested for validity and reliability. A conceptual regression model was proposed incorporating the constructs of the primary HBM with some modifications in the threat construct as well as an additional variable about explicit past vaccination behavior (in the past year and/or any previous history of influenza vaccine uptake). RESULTS: Almost all the constructs of the HBM demonstrated significant differences between participants intending and those who did not intend to vaccinate against influenza. After adjusting for the confounding variables in the final conceptual regression model, past vaccination behavior (OR= 4.50, 95%Confidence Interval 3.38-6.00, P< 0.0005) and the perceived benefit scale (OR= 1.19, 95% Confidence Interval 1.11-1.28, P< 0.0005) were the only significant predictors of intentions to vaccinate against influenza in the next season. CONCLUSION: Taking into consideration the altruistic beliefs of HCWs and their explicit past vaccination history augments the utility of the original HBM tool in predicting HCWs' intentions to vaccinate against influenza in a way that is consistent with the predictive ability of the Theory of Planned Behavior.
BACKGROUND: Theories of health behavior change are being inadequately adopted to understand the reasons behind low influenza vaccination rates among healthcare workers (HCWs). The Theory of Planned Behavior (TPB) is being used to predict intention-behavior relationship while the Health Belief Model (HBM) is being employed to predict actual behavior. The purpose of this study was to test a conceptual model based on the HBM's constructs to predict Jordanian HCWs' intentions for influenza vaccine uptake as an alternative to the TPB. METHOD: A cross-sectional questionnaire-based study was conducted in 2016 in a tertiary teaching hospital in Amman-Jordan including a convenience sample of 477 HCWs with direct patient contact. The study instrument was tested for validity and reliability. A conceptual regression model was proposed incorporating the constructs of the primary HBM with some modifications in the threat construct as well as an additional variable about explicit past vaccination behavior (in the past year and/or any previous history of influenza vaccine uptake). RESULTS: Almost all the constructs of the HBM demonstrated significant differences between participants intending and those who did not intend to vaccinate against influenza. After adjusting for the confounding variables in the final conceptual regression model, past vaccination behavior (OR= 4.50, 95%Confidence Interval 3.38-6.00, P< 0.0005) and the perceived benefit scale (OR= 1.19, 95% Confidence Interval 1.11-1.28, P< 0.0005) were the only significant predictors of intentions to vaccinate against influenza in the next season. CONCLUSION: Taking into consideration the altruistic beliefs of HCWs and their explicit past vaccination history augments the utility of the original HBM tool in predicting HCWs' intentions to vaccinate against influenza in a way that is consistent with the predictive ability of the Theory of Planned Behavior.