Self-reported anticipated compliance with physician advice to stay home during pandemic (H1N1) 2009: Results from the 2009 Queensland Social Survey

Brown, Lawrence H., Aitken, Peter, Leggat, Peter A., and Speare, Richard (2010) Self-reported anticipated compliance with physician advice to stay home during pandemic (H1N1) 2009: Results from the 2009 Queensland Social Survey. BMC Public Health, 10. pp. 1-6.

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Abstract

Background One strategy available to public health officials during a pandemic is physician recommendations for isolation of infected individuals. This study was undertaken during the height of the Australian pandemic (H1N1) 2009 outbreak to measure self-reported willingness to comply with physician recommendations to stay home for seven days, and to compare responses for the current strain of pandemic influenza, avian influenza, seasonal influenza, and the common cold.

Methods Data were collected as part of the Queensland Social Survey (QSS) 2009, which consisted of a standardized introduction, 37 demographic questions, and research questions incorporated through a cost-sharing arrangement. Four questions related to respondents' anticipated compliance with a physician's advice to stay home if they had a common cold, seasonal influenza, pandemic (H1N1) 2009 influenza or avian influenza were incorporated into QSS 2009, with responses recorded using a balanced Likert scale ranging from "very unlikely" to "very likely." Discordance between responses for different diseases was analysed using McNemar's test. Associations between demographic variables and anticipated compliance were analysed using Pearson's chi-square or chi-square for linear-by-linear association, and confirmed using multivariate logistic regression; p < 0.05 was used to establish statistical significance.

Results Self-reported anticipated compliance increased from 59.9% for the common cold to 71.3% for seasonal influenza (p < .001), and to 95.0% for pandemic (H1N1) 2009 influenza and 94.7% for avian influenza (p < 0.001 for both versus seasonal influenza). Anticipated compliance did not differ for pandemic (H1N1) 2009 and avian influenza (p = 0.815). Age and sex were both associated with anticipated compliance in the setting of seasonal influenza and the common cold. Notably, 27.1% of health and community service workers would not comply with physician advice to stay home for seasonal influenza.

Conclusions Ninety-five percent of people report they would comply with a physicians' advice to stay home for seven days if they are diagnosed with pandemic (H1N1) 2009 or avian influenza, but only 71% can be expected to comply in the setting of seasonal influenza and fewer still can be expected to comply if they are diagnosed with a common cold. Sub-populations that might be worthwhile targets for public health messages aimed at increasing the rate of self-imposed isolation for seasonal influenza include males, younger people, and healthcare workers.

Item ID: 11751
Item Type: Article (Refereed Research - C1)
Keywords: influenza human; public health; patient isolation
Additional Information:

© 2010 Brown et al; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

ISSN: 1471-2458
Date Deposited: 18 Aug 2010 04:26
FoR Codes: 11 MEDICAL AND HEALTH SCIENCES > 1103 Clinical Sciences > 110309 Infectious Diseases @ 30%
11 MEDICAL AND HEALTH SCIENCES > 1117 Public Health and Health Services > 111716 Preventive Medicine @ 30%
16 STUDIES IN HUMAN SOCIETY > 1605 Policy and Administration > 160510 Public Policy @ 40%
SEO Codes: 92 HEALTH > 9201 Clinical Health (Organs, Diseases and Abnormal Conditions) > 920109 Infectious Diseases @ 30%
92 HEALTH > 9204 Public Health (excl. Specific Population Health) > 920412 Preventive Medicine @ 40%
92 HEALTH > 9202 Health and Support Services > 920208 Health Inequalities @ 30%
Citation Count from Web of Science Web of Science 7
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