| BMC Public Health | |
| Predictors of knowledge of H1N1 infection and transmission in the U.S. population | |
| Kasisomayajula Viswanath2  Marcia A Testa1  Elena Savoia1  | |
| [1] Department of Biostatistics and Division of Policy Translation and Leadership Development, Harvard School of Public Health, 677 Huntington Avenue, Boston, MA 02115, U.S.A;Department of Society, Health and Human Development, Harvard School of Public Health, and Dana Farber Cancer Institute, 677 Huntington Avenue, Boston, MA 02115, U.S.A | |
| 关键词: Survey; Knowledge gaps; Race; U.S.A.; Neighborhood cohesion; Socioeconomic position; Communication; H1N1; | |
| Others : 1163647 DOI : 10.1186/1471-2458-12-328 |
|
| received in 2011-08-19, accepted in 2012-05-03, 发布年份 2012 | |
PDF
|
|
【 摘 要 】
Background
The strength of a society’s response to a public health emergency depends partly on meeting the needs of all segments of the population, especially those who are most vulnerable and subject to greatest adversity. Since the early stages of the H1N1 pandemic, public communication of H1N1 information has been recognized as a challenging issue. Public communication is considered a critical public health task to mitigating adverse population health outcomes before, during, and after public health emergencies. To investigate knowledge and knowledge gaps in the general population regarding the H1N1 pandemic, and to identify the social determinants associated with those gaps, we conducted a survey in March 2010 using a representative random sample of U.S. households.
Methods
Data were gathered from 1,569 respondents (66.3% response rate) and analyzed using ordered logistic regression to study the impact of socioeconomic factors and demographic characteristics on the individual’s knowledge concerning H1N1 infection and transmission.
Results
Results suggest that level of education and home ownership, reliable indicators of socioeconomic position (SEP), were associated with knowledge of H1N1. Level of education was found to be directly associated with level of knowledge about virus transmission [OR = 1.35, 95% C.I. 1.12-1.63]. Home ownership versus renting was also positively associated with knowledge on the signs and symptoms of H1N1 infection in particular [OR = 2.89, 95% C.I. 1.26-6.66].
Conclusions
Policymakers and public health practitioners should take specific SEP factors into consideration when implementing educational and preventive interventions promoting the health and preparedness of the population, and when designing communication campaigns during a public health emergency.
【 授权许可】
2012 Savoia et al.; licensee BioMed Central Ltd.
【 预 览 】
| Files | Size | Format | View |
|---|---|---|---|
| 20150413111226946.pdf | 215KB |
【 参考文献 】
- [1]Public Health Preparedness Capabilities: National Standards for State and Local Planning. National Standards for State and Local Planning. http://www.cdc.gov/phpr/capabilities/Capabilities_March_2011.pdf webcite (accessed February 2012)
- [2]Maher B: Crisis Communicator. Nature 2010, 463:150-152.
- [3]Hutchins SS, Fiscella K, Levine RS, Ompad DC, McDonald M: Protection of Racial/Ethnic Minority Populations During an Influenza Pandemic. Am J Pub Health 2009, 99(2 S2):261-270.
- [4]Viswanath K: Public communications and its role in reducing and eliminating health disparities. In Examining the Health Disparities Research Plan of the National Institutes of Health: Unfinished Business. Edited by Thomson GE, Mitchell F, Williams MB. Institute of Medicine, Washington D.C.; 2006:215-253.
- [5]Tichenor PJ, Donohue GA, Olien CN: Mass Media Flow and Differential Growth in Knowledge. Colombia University Press, New York; 1970.
- [6]Viswanath K, Finnegan JR: The Knowledge Gap Hypothesis: Twenty Five Years Later. In Communication Yearbook 19. Edited by Burleson B. Sage Publications, Thousand Oaks; 1996:187-227.
- [7]Prus SG: Comparing social determinants of self-rated health across the United States and Canada. Soc Sci Med 2011, 73(1):50-59.
- [8]Gillian K, SteelFisher G, Blendon RJ, Bekheit MM, Lubell K: The Public's Response to the 2009 H1N1 Influenza Pandemic. N Engl J Med 2010, 362:e65.
- [9]Viswanath K, Minsky S, Ramamurthi D, Kontos EZ: Communication under uncertainty. Communication behaviors of diverse audiences during the A (H1N1) incidence of Spring and Summer 2009. 2009. http://www.lawrencemhtf.org/files/special/LAMPS_Report_CommunicationUnderUncertainty_10_09_09.pdf webcite (accessed February 2012)
- [10]Disogra C: Addressed-based sampling nets success for knowledge panel recruitment and sample representation. 2010. http://www.knowledgenetworks.com/accuracy/spring2010/disogra-spring10.html webcite (accessed February 2012)
- [11]Dennis JM: KnowledgePanel®: Processes & Procedures Contributing to Sample Representativeness & Tests for Self-Selection Bias. 2010. http://www.knowledgenetworks.com/ganp/docs/KnowledgePanelR-Statistical-Methods-Note.pdf webcite (accessed February 2012)
- [12]Krieger N, Williams D, Moss N: Measuring social class in US public health research: concepts, methodologies, and guidelines. Annu Rev Publ Health 1997, 18:341-378.
- [13]Buka SL, Brennan RT, Rich-Edwards JW, Raudenbush SW, Earls F: Neighborhood support and the birth weight of urban infants. Am J Epidemiol 2003, 157(1):1-8.
- [14]Sampson RJ, Raudenbush SW, Earls F: Neighborhood and Violent Crime: A Multilevel Study of Collective Efficacy. Science 1997, 277(5328):918-924.
- [15]Lessler JT, Kalsbeek WD: Nonsampling Errors in Surveys. Wiley, New York; 1992.
- [16]Galarce EM, Minsky S, Viswanath K: Socioeconomic status, demographics, belief and A(H1N1) vaccine uptake in the United States. Vaccine 2011, 18; 29(32):5284-5289.
- [17]Santos C, Fiaccone RL, Oliveira NF, et al.: Estimating adjusted prevalence ratio in clustered cross-sectional epidemiological data. BMC Med Res Meth 2008, 8:80.
- [18]Zochetti C, Consonni D, Bertazzi PA: Relationship between prevalence rate ratios in cross sectional studies. Int J Epidemiol 1997, 26:220-223.
- [19]Van der Weerd W, Timmermans DRM, Beaujean DJMA, Oudhoff J, Van Steenbergen JE: Monitoring the level of government trust, risk perception and intention of the general public to adopt protective measures during the influenza A (H1N1) pandemic in the Netherlands. BMC Public Health 2011, 11:575.
- [20]Kiviniemi MT, Ram PK, Kozlowski LT, Smith KM: Perceptions of and willingness to engage in public health precautions to prevent 2009 H1N1 influenza transmission. BMC Public Health 2011, 11:152.
- [21]Fogarty AS, Holland K, Imison M, Blood RW, Chapman S, Holding S: Communicating uncertainty - how Australian television reported H1N1 risk in 2009: a content analysis. BMC Public Health 2011, 11:181.
- [22]Macintyre S, Ellaway A, Hiscock R, et al.: What features of the home and the area might help to explain observed relationships between housing tenure and health? Evidence from the west of Scotland. Health Place 2003, 9:207-218.
- [23]Hiscock R, Macintyre S, Kearns A, et al.: Residents and residence: factors predicting the health disadvantage of social renters compared to owner-occupiers. J Soc Issues 2003, 59:527-546.
- [24]Dalsttra JA, Kunst AE, Mackenbach JP: A comparative appraisal of the relationship of education, income and housing tenure with less than good health among the elderly in Europe. Soc Sci Med 2006, 62:2046-2060.
- [25]Lim S, Chung W, Kim H, Lee S: The influence of housing tenure and marital status on smoking in South Korea. Health Policy 2010, 94(2):101-110.
- [26]Viswanath K, Finnegan JR, Rooney B, Potter J: Community ties and the use of newspapers and cable TV in a rural Midwestern community. Eval Program Plann 1990, 67:899-911.
PDF