| Literature DB >> 30060535 |
Greta Tam1, Zhe Huang2, Emily Ying Yang Chan3,4.
Abstract
Disaster awareness and household preparedness are crucial for reducing the negative effects of a disaster. This study aims to examine the citizens' preparedness level in the event of a general disaster or outbreak of infectious disease and to identify suitable channels for community disease surveillance and risk communication. We used a stratified random design to conduct a digit-dialed telephone survey in Hong Kong during February 2014. Level of disaster preparedness was examined according to the possession of disaster kit items. Associations between socio-demographic factors and good household preparedness were assessed using multiple logistic regression models. Preferences for infectious disease surveillance were collected and analyzed. There were 1020 respondents. Over half of the respondents (59.2%) had good household preparedness. After adjustment, female respondents, having higher education and higher household income were significantly associated with good household preparedness. Television and telephone were the preferred channels to obtain and report infectious disease information, respectively. In conclusion, general and specific infectious-disease household preparedness levels in Hong Kong were generally good. Tailored preparedness programs targeted to specific communities are necessary for those lacking preparedness. Risk communication and public health surveillance should be conducted through television and telephone, respectively.Entities:
Keywords: disaster; household preparedness; infectious diseases
Mesh:
Year: 2018 PMID: 30060535 PMCID: PMC6121418 DOI: 10.3390/ijerph15081598
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Figure 1Study flow of the telephone survey.
Figure 2Definition of household preparedness levels and items.
Socio-demographic characteristics of respondents and the general population in Hong Kong 2011.
| Demographics | Sample Population | Hong Kong Population 2011 | Sample vs. Census | |
|---|---|---|---|---|
|
| % | % | ||
| Age ( | ||||
| 15–24 | 143 | 14.0 | 14.0 | 0.99 |
| 25–44 | 348 | 34.1 | 35.5 | |
| 45–64 | 363 | 35.6 | 35.4 | |
| ≥65 | 166 | 16.3 | 15.1 | |
| Gender ( | ||||
| Male | 461 | 45.2 | 46.0 | 1.00 |
| Female | 559 | 54.8 | 54.0 | |
| Education ( | ||||
| Primary education or below | 138 | 13.5 | 22.7 | 0.18 |
| Secondary education | 517 | 50.7 | 50.0 | |
| Post-secondary education (including diploma and certificate) | 364 | 35.7 | 27.3 | |
| Occupation ( | ||||
| White collar | 411 | 40.9 | NA | |
| Blue collar | 96 | 9.5 | NA | |
| Housewife, retired or unemployed | 393 | 39.1 | NA | |
| Students | 106 | 10.5 | NA | |
| Area of residence ( | ||||
| Hong Kong Island | 185 | 18.1 | 18.0 | 1.00 |
| Kowloon | 308 | 30.2 | 29.8 | |
| New Territories | 527 | 51.7 | 52.2 | |
| Marital status ( | ||||
| Single | 355 | 34.9 | 42.2 | 0.36 |
| Married | 663 | 65.1 | 57.8 | |
| Household income ( | ||||
| <$10,000 | 135 | 13.9 | 23.8 | 0.30 |
| $10,000–19,999 | 220 | 22.7 | 23.8 | |
| $20,000–39,999 | 346 | 35.7 | 29.0 | |
| ≥$40,000 | 268 | 27.7 | 23.5 | |
| Type of housing ( | ||||
| Public housing | 387 | 38.1 | 30.3 | 0.61 b |
| Subsidized homeownership housing | 160 | 15.7 | 15.9 | |
| Private permanent housing | 455 | 44.7 | 52.3 | |
| Others | 15 | 1.5 | 1.4 | |
a Chi-square test was used to measure the overall difference in proportions between this survey and the 2011 Hong Kong Population Census data. p-Value < 0.05 indicates a significant difference. b Fisher-exact test p-value was used.
Figure 3Proportion of respondents with household preparedness items (general and specific).
Socio-demographic characteristics of respondents associated with good household preparedness.
| Characteristics | Household Preparedness | a COR (95% CI) | b | c AOR (95% CI) | b | |
|---|---|---|---|---|---|---|
| Poor | Good | |||||
| N (%) | N (%) | |||||
|
| ||||||
|
| ||||||
| Male | 214 (46.4) | 247 (53.6) | 1 | 1 | ||
| Female | 202 (36.1) | 357 (63.9) | 1.53 (1.19, 1.97) |
| 1.63 (1.25, 2.21) |
|
|
| ||||||
| White collar | 156 (38.0) | 255 (62.0) | 1 | |||
| Blue collar | 56 (58.3) | 40 (41.7) | 0.44 (0.28, 0.69) |
| ||
| Unemployed | 162 (41.2) | 231 (58.8) | 0.87 (0.66, 1.16) | 0.34 | ||
| Student | 38 (35.8) | 68 (64.2) | 1.09 (0.70, 1.71) | 0.69 | ||
|
| ||||||
| Primary education or below | 75 (54.3) | 63 (45.6) | 1 | 1 | ||
| Secondary education | 213 (41.2) | 304 (58.8) | 1.70 (1.16, 2.48) |
| 1.68 (1.12, 2.53) |
|
| Post-secondary education (including diploma and certificate) | 127 (34.9) | 237 (65.1) | 2.22 (1.49, 3.31) |
| 1.92 (1.21, 3.02) |
|
|
| ||||||
| Public housing | 176 (45.5) | 211 (54.5) | 1 | |||
| Subsidized home ownership housing | 71 (44.4) | 89 (55.6) | 1.05 (0.72, 1.51) | 0.81 | ||
| Private permanent housing | 164 (36.0) | 291 (64.0) | 1.48 (1.12, 1.95) |
| ||
|
| ||||||
| <$10,000 | 70 (51.9) | 65 (48.1) | 1 | 1 | ||
| $10,000–19,999 | 104 (47.3) | 116 (52.7) | 1.20 (0.78, 1.84) | 0.40 | 1.12 (0.78, 1.73) | 0.60 |
| $20,000–39,999 | 140 (40.5) | 206 (59.5) | 1.58 (1.06, 2.36) |
| 1.40 (0.93, 2.11) | 0.11 |
| ≥$40,000 | 83 (31.0) | 185 (69.0) | 2.40 (1.57, 3.67) |
| 2.01 (1.27, 3.17) |
|
|
| ||||||
| 1 | 38 (61.3) | 24 (38.7) | 1 | |||
| 2 | 80 (40.8) | 116 (59.2) | 2.30 (1.28, 4.12) |
| ||
| 3–4 | 233 (39.9) | 351 (60.1) | 2.39 (1.39, 4.08) |
| ||
| ≥5 | 65 (36.5) | 113 (63.5) | 2.75 (1.52, 4.99) |
| ||
a COR: Crude odds ratio; b Boldface indicates statistical significance; c AOR: Adjusted odds ratio; model was adjusted with gender, occupation, education, living quarters, household income, family size, and area of residence.
Figure 4Preferred channels to obtain infectious disease information according to age groups.