| Literature DB >> 17276791 |
William C W Wong1, Samuel Y S Wong, Albert Lee, William B Goggins.
Abstract
OBJECTIVES: This study was designed to compare the response and management of severe acute respiratory syndrome (SARS) by the family physicians of the Hong Kong and the Toronto health systems, and to provide evidence to improve health policy and practices in a newly emerging infectious disease.Entities:
Mesh:
Year: 2007 PMID: 17276791 PMCID: PMC7132727 DOI: 10.1016/j.ajic.2006.06.009
Source DB: PubMed Journal: Am J Infect Control ISSN: 0196-6553 Impact factor: 2.918
Comparison of demographic characteristics of tutors from HK and Toronto
| Canadian tutors | HK tutors | Tutors | |||||
|---|---|---|---|---|---|---|---|
| No. | % | No. | % | No. | (%) | Chi-square | |
| Number of doctors | 51 | 137 | 183 | ||||
| N/A | N/A | ||||||
| Age group | |||||||
| Young (under 39) | 19 | 38.0 | 47 | 34.6 | N/A | N/A | |
| Middle (40-49) | 18 | 36.0 | 48 | 35.3 | N/A | ||
| Old (over 50) | 13 | 26.0 | 41 | 30.1 | N/A | ||
| Gender | |||||||
| Male | 17 | 44.7 | 112 | 82.4 | 155 | (84.7) | .57 |
| Female | 21 | 55.3 | 24 | 17.6 | 28 | (15.3) | |
| Post-graduate education | |||||||
| Yes | 41 | 95.3 | 119 | 87.5 | 157 | (85.8) | .66 |
| No | 2 | 4.7 | 17 | 12.5 | 26 | (14.2) | |
| Experience (>10 years) | |||||||
| Experienced | 24 | 57.1 | 106 | 77.9 | 148 | (80.9) | .52 |
| Inexperienced | 18 | 42.9 | 30 | 22.1 | 35 | (19.1) | |
| Primary practice setting | |||||||
| Work in hospital | 29 | 58.0 | NA | 114 | (62.3) | .003 | |
| Not work in hospital | 21 | 42.0 | NA | 18 | (9.8) | ||
| 51 | (27.9) | ||||||
Comparison of responses and management of SARS among primary care doctors from Hong Kong and Toronto
| HK | Canada | |||||
|---|---|---|---|---|---|---|
| No. | % | No. | % | OR | CI | |
| No training in handling infectious diseases in primary care | 116 | 84.6 | 41 | 80.0 | 0.73 | (0.32, 1.68) |
| Feeling confident in dealing with SARS | 92 | 68.1 | 36 | 73.5 | 0.77 | (0.37, 1.60) |
| Having updates of SARS on a daily basis | 74 | 54.0 | 31 | 63.3 | 0.68 | (0.35, 1.33) |
| Satisfied with governments' handling of SARS in the community | 30 | 23.1 | 29 | 72.5 | 0.11 | (0.05, 0.26) |
| Appointment arrangements | ||||||
| Requested more blood tests and/or chest x-rays | 103 | 76.3 | 4 | 7.8 | 37.80 | (12.65, 113.06) |
| Family practice appointments postponed/cancelled | 42 | 31.1 | 37 | 72.5 | 0.17 | (0.08, 0.35) |
| Surgical procedures postponed/cancelled | 32 | 23.7 | 34 | 66.7 | 0.16 | (0.08, 0.31) |
| Longer waiting time for laboratory investigations | 4 | 3.0 | 31 | 60.8 | 0.02 | (0.01, 0.06) |
| Specialist appointments postponed/cancelled | 22 | 16.3 | 41 | 80.4 | 0.05 | (0.02, 0.11) |
| Had difficulties/were unable to make specialist referral | 17 | 12.6 | 35 | 68.6 | 0.07 | (0.03, 0.14) |
| Use of screening tools | ||||||
| Used a SARS screening tool | 87 | 64.9 | 47 | 97.9 | 0.04 | (0.01, 0.30) |
| Screening questions over the phone | 7 | 9.2 | 28 | 54.0 | 0.09 | (0.04, 0.22) |
| Written screening questions in waiting room | 15 | 18.4 | 6 | 10.0 | 2.03 | (0.70, 5.92) |
| Written screening questions at clinic entrance | 8 | 10.3 | 40 | 78.0 | 0.03 | (0.01, 0.09) |
| Receptionist/nurse asked screening questions in office | 53 | 62.1 | 27 | 52.0 | 1.51 | (0.75, 3.05) |
| Agreed that SARS screening tool was helpful | 79 | 90.8 | 47 | 92.2 | 0.84 | (0.24, 2.94) |
| Agreed that SARS screening tool changed too often | 53 | 60.9 | 20 | 40.0 | 2.34 | (1.15, 4.76) |
| Agreed that questions were too difficult for patients | 26 | 29.9 | 9 | 18.0 | 1.94 | (0.83, 4.57) |
| Agreed that language barriers prevented use of a screening tool | 18 | 20.7 | 16 | 34.8 | 0.49 | (0.22, 1.09) |
| Agreed that SARS screening tool was too time consuming | 23 | 26.4 | 17 | 34.0 | 0.70 | (0.33, 1.48) |
| Knew what to do if a patient had failed SARS screening | 68 | 78.2 | 42 | 85.7 | 0.60 | (0.23, 1.54) |
| Incomes | ||||||
| Income was not reduced | 16 | 11.8 | 10 | 19.6 | 0.55 | (0.23, 1.30) |
| Loss of income due to cancelled appointments | 54 | 39.7 | 32 | 62.7 | 0.39 | (0.20, 0.76) |
| Loss of income due to fewer nursing home visits | 2 | 1.5 | 2 | 3.9 | 0.37 | (0.05, 2.67) |
| Loss of income due to Increased overhead costs | 106 | 77.9 | 16 | 31.4 | 7.73 | (3.77, 15.83) |
| Loss of income due to clinic closure | 6 | 4.4 | 14 | 27.5 | 0.12 | (0.04, 0.34) |
| Loss of income due to less emergency room work | 7 | 5.1 | 3 | 5.9 | 0.87 | (0.22, 3.50) |
| Loss of income due to restricted access to the hospital | 11 | 8.1 | 18 | 35.3 | 0.16 | (0.07, 0.38) |
| Loss of income due to staff on sick leave or being quarantined | 2 | 1.5 | 1 | 2.0 | 0.75 | (0.07, 8.41) |
Results of multivariable stepdown logistic regression showing factors associated with anxiety and satisfaction with government measures among family physicians
| Hong Kong - anxiety | |||||
|---|---|---|---|---|---|
| Mean scores | AOR | 95% CI | |||
| Value of sources of SARS information (more: less valuable) | |||||
| HKMA website/circular | 2.8 | 0.74 | (0.55, 0.99) | .043 | |
| TV news/ programs | 2.4 | 1.67 | (1.05, 2.64) | .030 | |
| n | % | AOR | 95% CI | ||
| Loss of income due to cancelled appointments (yes:no) | 54 | 39.7% | 0.46 | (0.26, 1.03) | .048 |
| Gender (female:male) | |||||
| Females | 24 | 17.8% | 2.43 | (0.82, 7.22) | .11 |
| Males | 111 | 82.2% | |||
| Age (per year) | 1.05 | (1.01, 1.10) | .026 | ||
| Formal training in handling infectious diseases in primary care (yes:no) yes | 10 | 20.0% | 5.41 | (1.02, 28.79) | .048 |
Odds ratio is infinity and confidence interval could not be computed, the P value in this case is from the likelihood ratio test.