Table 1.
Socio-demographic characteristics of survey respondents who completed the entrance only or both entrance and exit surveys
| Completed Only Entrance Survey (N=655) % (n) |
Completed Both Surveys (N=544) % (n) |
P-value | ||
|---|---|---|---|---|
| Gender | Female | 19.5% (120) | 13.1% (69) | 0.0040* |
| Male | 80.5% (496) | 86.9% (459) | ||
|
| ||||
| Age | Years, mean ± SD | 34.1 ± 9.8 | 35.5 ± 9.5 | 0.0074* |
| median (IQR) | 33.0 (25.0-42.0) | 35.0 (27.0-43.0) | ||
|
| ||||
| Educationa | High School or less | 35.9% (226) | 34.9% (184) | 0.7578 |
| Some College or more | 64.1% (404) | 65.2% (344) | ||
|
| ||||
| Employment | Employed | 57.5% (307) | 63.2% (281) | 0.0770 |
| Not employed | 42.5% (227) | 36.9% (164) | ||
|
| ||||
| Incomeb | <$ 25,000 | 47.0% (263) | 47.9% (230) | 0.8033 |
| >$25,000 | 53.0% (297) | 52.1% (250) | ||
|
| ||||
| Race | Asian | 27.1% (162) | 27.5% (138) | 0.0153* |
| Black or African | 25.8% (154) | 22.3% (112) | ||
| White or Caucasian | 36.6% (219) | 43.8 % (220) | ||
| Mixed or Other | 10.5% (63) | 6.4 % (32) | ||
|
| ||||
| Marital Status | Divorced | 9.4% (59) | 10.3% (54) | 0.6609 |
| Separated | 1.9% (12) | 1.7% (9) | ||
| Single | 71.1% (446) | 68.0% (355) | ||
| Married | 17.5% (110) | 19.9% (104) | ||
|
| ||||
| Type of Community | City | 59.7% (374) | 56.9% (300) | 0.6291 |
| Rural | 8.8% (55) | 10.6% (56) | ||
| Small town | 12.4% (78) | 13.7% (72) | ||
| Suburban | 19.1% (120) | 18.8% (99) | ||
|
| ||||
| Proximity from Study Site | Within 20 miles | 38.9% (243) | 35.2% (186) | 0.1995 |
| >20 miles | 61.1% (381) | 64.8% (342) | ||
|
| ||||
| Type of Healthcare Coveragec | Public/Government | 43.0% (195) | 37.0% (129) | 0.3268 |
| Private | 15.4% (71) | 16.7% (57) | ||
| Other | 6.4% (29) | 5.9% (20) | ||
| None/Out of pocket | 35.2% (160) | 40.5% (138) | ||
|
| ||||
| Health Status | Excellent | 68.2% (426) | 71.0% (370) | |
| Fair | 1.8% (11) | 0.6% (3) | 0.3656 | |
| Good | 30.1% (188) | 28.2% (147) | ||
| Poor | 0 | 0.2% (1) | ||
|
| ||||
| Participation in Previous Studies | None | 36.6% (218) | 21.2% (107) | <0.0001* |
| At least 1 | 63.4% (377) | 78.8% (398) | ||
|
| ||||
| Geographic Region | Belgium | 30.7% (201) | 37.3% (203) | 0.0185* |
| Singapore | 24.7% (162) | 25.6% (139) | ||
| US | 44.6% (292) | 37.1% (202) | ||
| Completed Exit Survey (n=654) | ||||
| Q: [Considering what I had to do,] I thought the amount of money was: | More than fair | 11.9% (76) | ||
| Fair/just about right | 71.1% (456) | |||
| Unfair/too low | 17.0% (109) | |||
| Q: Would you say that being in this research study was: | Better than I expected | 30.9% (198) | ||
| About the same | 65.2% (418) | |||
| Worse than I expected | 3.9% (25) | |||
For all data, percentages (%) are based on the total number of responses to each question as the denominator, which may vary. Age was not approximately normally distributed; thus, median and inter-quartile range (IQR) are reported in addition to mean and standard deviation (SD).
Levels of education were specific to each region (i.e., Belgium, Singapore, or the US); responses are reported according to US categories.
Income ranges were specific to each region’s respective currency (e.g., Euros in the Belgian questionnaire; Singapore $ in Singapore) and are reported in US categories.
Participants in Singapore and the U.S. (but not Belgium) were asked how they paid for their health care; participants were asked to select all that apply, so multiple options were applicable.
statistically significant at p<0.05