Knowledge, attitudes, and practices related to dengue prevention in Cambodia, John Hustedt March 25, 2014

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Knowledge, attitudes, and practices related to dengue prevention in Cambodia, 2013-2014 John Hustedt March 25, 2014

Background Dengue is a vector-borne viral infection that affects 50-100 million people per year with 17,533 confirmed cases in Cambodia last year An acute, rapid-onset illness with wide spectrum of clinical presentations, including high fever, extreme headaches and exhaustion, muscle and joint pain, and rash Currently no drugs or vaccines available leaving the focus on prevention. Effective and sustainable prevention programs will likely need to encompass all vector borne diseases

Integrated vector management Main objective To assess and strengthen the ability of community and health systems to better prevent the spread of vector-borne diseases, as well as to improve recognition of symptoms, identification, and response to vector-borne outbreaks (particularly dengue) Knowledge, attitudes and practice (KA) survey on prevention Behavior change communication (BCC) by positive deviance Surveillance assessment and outbreak response

KA study methods Conducted in six provinces, which were selected based on a risk assessment by the National Center for arasitology, Entomology and Malaria Control (CNM) 30 villages 26 households per village 780 households

Results Table 1: High levels of knowledge by respondent demographics Dengue symptom knowledge revention of mosquito breeding knowledge revention of mosquito bite knowledge Gender Male 77.2% (66.9%-85.1%) 81.7% (72.7%-88.2%) 80.7% (72.2%-87.1%) * Female 87.0% (82.4%-90.5%) 85.0% (79.4%-89.4%) 83.7% (78.5%-87.8%) Age Under 31 84.9% (78.9%-89.5%) 92.2% (87.2%-95.4%) 91.1% (85.5%-94.6%) 31-49 87.1% (82.6%-90.1%) 83.4% (78.1%-87.7%) ** 81.9% (76.3%-86.5%) 50+ 82.1% (74.1%-88.1%) 79.9% (69.6%-87.2%) 78.4% (71.0%-84.3%) Education Lower 84.5% (79.3%-88.6%) 81.0% (73.8%-86.5%) 79.4% (73.4%-84.3%) *** Higher 85.7% (80.6%-89.6%) 92.7% (88.0%-95.6%) 92.0% (86.8%-95.2%) Wealth Lowest 92.8% (86.8%-96.2%) 92.5% (85.5%-96.3%) 90.7% (84.4%-94.6%) 2nd lowest 80.9% (73.5%-86.7%) 82.2% (71.9%-89.3%) 80.9% (71.5%-87.6%) Middle 84.6% (76.7%-90.2%) *** 80.5% (72.0%-86.8%) * 85.2% (79.2%-89.7%) 2nd highest 90.0% (84.4%-93.7%) 86.8% (78.3%-92.3%) 78.7% (71.1%-84.7%) Highest 72.9% (60.5%-82.4%) 77.3% (65.0%-86.1%) 75.9% (65.2%-84.0%) Statistically significant difference (<0.05) *, (<0.01) **, (<0.001) *** ** *** *

Results Table 1: High levels of knowledge by respondent demographics Dengue symptom knowledge revention of mosquito breeding knowledge revention of mosquito bite knowledge Gender Male 77.2% (66.9%-85.1%) 81.7% (72.7%-88.2%) 80.7% (72.2%-87.1%) * Female 87.0% (82.4%-90.5%) 85.0% (79.4%-89.4%) 83.7% (78.5%-87.8%) Age Under 31 84.9% (78.9%-89.5%) 92.2% (87.2%-95.4%) 91.1% (85.5%-94.6%) 31-49 87.1% (82.6%-90.1%) 83.4% (78.1%-87.7%) ** 81.9% (76.3%-86.5%) ** 50+ 82.1% (74.1%-88.1%) 79.9% (69.6%-87.2%) 78.4% (71.0%-84.3%) Education Lower 84.5% (79.3%-88.6%) 81.0% (73.8%-86.5%) 79.4% (73.4%-84.3%) *** *** Higher 85.7% (80.6%-89.6%) 92.7% (88.0%-95.6%) 92.0% (86.8%-95.2%) Wealth Lowest 92.8% (86.8%-96.2%) 92.5% (85.5%-96.3%) 90.7% (84.4%-94.6%) 2nd lowest 80.9% (73.5%-86.7%) 82.2% (71.9%-89.3%) 80.9% (71.5%-87.6%) Middle 84.6% (76.7%-90.2%) *** 80.5% (72.0%-86.8%) * 85.2% (79.2%-89.7%) * 2nd highest 90.0% (84.4%-93.7%) 86.8% (78.3%-92.3%) 78.7% (71.1%-84.7%) Highest 72.9% (60.5%-82.4%) 77.3% (65.0%-86.1%) 75.9% (65.2%-84.0%) Statistically significant difference (<0.05) *, (<0.01) **, (<0.001) ***

Results Table 1: High levels of knowledge by respondent demographics Dengue symptom knowledge revention of mosquito breeding knowledge revention of mosquito bite knowledge Gender Male 77.2% (66.9%-85.1%) 81.7% (72.7%-88.2%) 80.7% (72.2%-87.1%) * Female 87.0% (82.4%-90.5%) 85.0% (79.4%-89.4%) 83.7% (78.5%-87.8%) Age Under 31 84.9% (78.9%-89.5%) 92.2% (87.2%-95.4%) 91.1% (85.5%-94.6%) 31-49 87.1% (82.6%-90.1%) 83.4% (78.1%-87.7%) ** 81.9% (76.3%-86.5%) ** 50+ 82.1% (74.1%-88.1%) 79.9% (69.6%-87.2%) 78.4% (71.0%-84.3%) Education Lower 84.5% (79.3%-88.6%) 81.0% (73.8%-86.5%) 79.4% (73.4%-84.3%) *** *** Higher 85.7% (80.6%-89.6%) 92.7% (88.0%-95.6%) 92.0% (86.8%-95.2%) Wealth Lowest 92.8% (86.8%-96.2%) 92.5% (85.5%-96.3%) 90.7% (84.4%-94.6%) 2nd lowest 80.9% (73.5%-86.7%) 82.2% (71.9%-89.3%) 80.9% (71.5%-87.6%) Middle 84.6% (76.7%-90.2%) *** 80.5% (72.0%-86.8%) * 85.2% (79.2%-89.7%) * 2nd highest 90.0% (84.4%-93.7%) 86.8% (78.3%-92.3%) 78.7% (71.1%-84.7%) Highest 72.9% (60.5%-82.4%) 77.3% (65.0%-86.1%) 75.9% (65.2%-84.0%) Statistically significant difference (<0.05) *, (<0.01) **, (<0.001) ***

90% High Levels of revention ractices by Dengue Knowledge ercent with High Levels of revention ractices (9+) 80% 70% 60% 50% 40% 30% 20% 10% 0% Dengue symptoms revent mosquitoes from breeding revent mosquitoes from biting Knowledge Categories High-Level (2+) Low-Level (<2)

Results Table 2: Logistic regression on number of prevention practices OR SE B revent mosquito bites 1.93 0.614* revent mosquitoes from breeding 1.78 0.614* Dengue symptoms 1.89 0.542* Male 0.87 0.239 Education 1.15 0.107 Age 0.016 0.009 Wealth 1.11 0.072 Svay Rieng 0.30 0.160* Kampong Cham 0.44 0.110*** Kandal 0.80 0.184 reah Vihear 0.55 0.094*** rey Veng 0.33 0.060*** Cons 0.38 0.249 R 2 = 0.13, Statistically significant difference (<0.05*, <0.01 **, <0.001 ***)

Behaviour Change Communication ositive deviance pilot in Banteay Mean Chey Baseline/endline surveys Focus group discussions and in-depth interviews Volunteer training Monthly meetings Seminar

Conclusions Correlation between high levels of knowledge and number of prevention practices used within a Cambodian household Reinforces need for continued dissemination of dengue prevention messaging Need to develop practical and compelling vector borne disease BCC material Innovative ways of providing those materials more frequently and more effectively should be explored

Way forward Continue supporting programs to improve neglected tropical disease projects by conducting: Monitoring and evaluation activities Surveillance assessment and outbreak response Behavior Change Communication

Supported by: Acknowledgements

www.malariaconsortium.org Thank you