| Literature DB >> 24945090 |
Emanuel Troullos1, Lisa Baird, Shyamalie Jayawardena.
Abstract
BACKGROUND: Conducting and analyzing clinical studies of cough and cold medications is challenging due to the rapid onset and short duration of the symptoms. The use of Internet-based surveillance tools is a new approach in clinical studies that is gradually becoming popular and may become a useful method of recruitment. As part of an initiative to assess the safety and efficacy of cough and cold ingredients in children 6-11 years of age, a surveillance program was proposed as a means to identify and recruit pediatric subjects for clinical studies.Entities:
Keywords: common cold; pediatric; sleep; surveillance; symptoms
Mesh:
Year: 2014 PMID: 24945090 PMCID: PMC4090373 DOI: 10.2196/jmir.2868
Source DB: PubMed Journal: J Med Internet Res ISSN: 1438-8871 Impact factor: 5.428
Demographic characteristics of enrolled children (N=248).
| Characteristic | n (%) | |
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| Male | 160 (64.5) |
| Female | 88 (35.5) | |
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| 6 | 36 (14.5) |
| 7 | 60 (24.2) | |
| 8 | 61 (24.6) | |
| 9 | 48 (19.4) | |
| 10 | 23 (9.3) | |
| 11 | 20 (8.1) | |
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| White | 183 (73.8) |
| Black | 34 (13.7) | |
| American Indian or Alaskan native | 6 (2.4) | |
| Asian | 5 (2.0) | |
| Mixed race | 16 (6.5) | |
| Did not answer | 4 (1.6) | |
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| Not Hispanic or Latino | 222 (89.5) |
| Hispanic or Latino | 23 (9.3) | |
| Did not answer | 3 (1.2) | |
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| Austin, TX | 56 (22.6) |
| Boston, MA | 71 (28.6) | |
| Portland, OR | 67 (27.0) | |
| Raleigh, NC | 54 (21.8) | |
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|
| 0 | 72 (29.0) |
| 1 | 31 (12.5) | |
| 2 | 43 (17.3) | |
| ≥3 | 102 (41.1) | |
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| Did not graduate high school | 4 (1.6) |
| High school graduate (or equivalent) | 35 (14.1) | |
| Some college education | 85 (34.3) | |
| Bachelor’s degree | 92 (37.1) | |
| Master’s degree | 26 (10.5) | |
| Doctorate degree | 5 (2.0) | |
| Did not answer | 1 (0.4) | |
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| <$25,000 | 18 (7.3) |
| $25,001–$50,000 | 53 (21.4) | |
| $50,001–$100,000 | 138 (55.6) | |
| >$100,000 | 37 (14.9) | |
| Did not answer | 2 (0.8) | |
Figure 1Average daily severity of individual cold symptoms. Parents of children with colds (n=134) were asked to score symptoms on a scale from 0 (not present) to 3 (severe). To calculate the average daily severity, a value of zero was assigned for those subjects who did not provide a symptom severity rating on a given day during the 10-day follow-up period because the parent was not required to complete the symptom severity questionnaire after all symptoms had resolved.
Figure 2Average daily prevalence of individual cold symptoms. From the day of onset, parents of children with colds (n=134) were asked to report whether a symptom was present or absent.
Parent willingness to participate in clinical study procedures (N=163).
| Procedure | Willing, | Not willing, | |
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| |||
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| Total | 43 (26.4) | 120 (73.6) |
| Before 11 am the next day | 14 (8.6) |
| |
| Before the clinical site closes the next day | 15 (9.2) |
| |
| Within the next 3 days | 21 (12.9) |
| |
| Within the next 5 days | 20 (12.3) |
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| Total | 88 (54.0) | 75 (46.0) |
| Before 11 am the next day | 29 (17.8) |
| |
| Before the clinical site closes the next day | 35 (21.5) |
| |
| Within the next 3 days | 32 (19.6) |
| |
| Within the next 5 days | 30 (18.4) |
| |
| Permit a child to remain out of school to participate in a study | 20 (12.3) | 143 (87.7) | |
| Score symptoms and administer medication to the child at school | 48 (29.4) | 115 (70.6) | |
| Permit a child to remain out of school and/or score symptoms and administer medication to the child at school | 50 (30.7) | 113 (69.3) | |