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Table 2 Participant demographics, overall and by recruitment strategy

From: Cost analysis and efficacy of recruitment strategies used in a large pragmatic community-based clinical trial targeting low-income seniors: a comparative descriptive analysis

Demographic

TOTAL N (% of total enrolled, 95% CI)

Pharmacies N (% of total enrolled by the strategy, 95% CI)

Health professionals N (% of total enrolled by the strategy, 95% CI)

Canada Post mail-out N (% of total enrolled by the strategy, 95% CI)

Coronary angiogram registry N (% of total enrolled by the strategy, 95% CI)

Contact after hospital discharge N (% of total enrolled by the strategy, 95% CI)

Media N (% of total enrolled by the strategy, 95% CI)

Seniors outreach N (% of total enrolled by the strategy, 95% CI)

Word of mouth N (% of total enrolled by the strategy, 95% CI)

Total enrolled by the strategy

4013

1217

310

198

630

530

350

252

476

Residing location1

 Rural

1350 (34%, 32–35)

411 (34%, 31–37)

81 (26%, 21–31)

97 (49%, 42–56)

262 (42%, 38–46)

192 (36%, 32–41)

98 (28%, 23–33)

60 (24%, 19–30)

140 (29%, 25–34)

English understanding

 Does not understand English

466 (12%, 11–13)

269 (22%, 20–25)

33 (11%, 7.4–15)

12 (6%, 3.2–10)

8 (1.3%, 0.64–2.5)

19 (4%, 2.2–5.5)

24 (7%, 4.4–10)

18 (7%, 4.3–11)

78 (16%, 13–20)

Annual household income

 < $15,000

418 (10%, 9.5–11)

186 (15%, 13–17)

44 (14%, 11–19)

9 (5%, 2.1–8.5)

27 (4%, 2.8–6.2)

30 (6%, 3.9–8.0)

16 (5%, 2.6–7.3)

28 (11%, 7.5–16)

69 (14%, 12–18)

 $15,000–$29,999

1873 (47%, 45–48)

577 (47%, 45–50)

159 (51%, 46–57)

83 (42%, 35–49)

238 (38%, 34–42)

194 (37%, 33–41)

199 (57%, 52–62)

160 (63%, 57–69)

243 (51%, 47–56)

 ≥ $30,000

1722 (43%, 41–44)

454 (37%, 35–40)

107 (35%, 29–40)

106 (54%, 46–61)

365 (58%, 54–62)

306 (58%, 53–62)

135 (39%, 33–44)

64 (25%, 20–31)

164 (34%, 30–39)

Education

 < High school

1041 (26%, 25–27)

379 (31%, 29–34)

65 (21%, 17–26)

57 (29%, 23–36)

138 (22%, 19–25)

103 (19%, 16–23)

61 (17%, 14–22)

60 (24%, 19–30)

166 (35%, 31–39)

 High school

1140 (28%, 27–30)

351 (29%, 26–32)

87 (28%, 23–33)

56 (28%, 22–35)

187 (30%, 26–33)

144 (27%, 23–31)

98 (28%, 23–33)

68 (27%, 22–33)

135 (28%, 24–33)

 Post-secondary

1832 (46%, 44–47)

487 (40%, 37–43)

158 (51%, 45–57)

85 (43%, 36–50)

305 (48%, 44–52)

283 (53%, 49–58)

191 (55%, 49–60)

124 (49%, 43–56)

175 (37%, 32–41)

Age category

 65–70 years

1364 (34%, 33–36)

555 (46%, 43–49)

152 (49%, 43–55)

55 (28%, 22–35)

75 (12%, 9.5–15)

106 (20%, 17–24)

137 (39%, 34–45)

105 (42%, 36–48)

166 (35%, 31–39)

 71–80 years

1922 (48%, 46–50)

503 (41%, 39–44)

119 (38%, 33–44)

106 (54%, 46–61)

372 (59%, 55–63)

316 (60%, 55–64)

159 (45%, 40–51)

102 (40%, 34–47)

218 (46%, 41–50)

 > 80 years

727 (18%, 17–19)

159 (13%, 11–15)

39 (13%, 9.1–17)

37 (19%, 14–25)

183 (29%, 26–33)

108 (20%, 17–24)

54 (15%, 12–20)

45 (18%, 13–23)

92 (19%, 16–23)

Medications2

 Not on either

328 (8%, 7.3–9.1)

80 (7%, 5.2–8.1)

36 (12%, 8.3–16)

14 (7%, 3.9–12)

30 (5%, 3.2–6.7)

55 (10%, 7.9–13)

33 (9%, 6.6–13)

29 (12%, 7.8–16)

46 (10%, 7.2–13)

 On only one

1308 (33%, 31–34)

385 (32%, 29–34)

92 (30%, 25–35)

82 (41%, 34–49)

176 (28%, 25–32)

186 (35%, 31–39)

132 (38%, 33–43)

78 (31%, 25–37)

161 (34%, 30–38)

 On both

2377 (59%, 58–61)

752 (62%, 59–65)

182 (59%, 53–64)

102 (52%, 44–59)

424 (67%, 64–71)

289 (55%, 50–59)

185 (53%, 47–58)

145 (58%, 51–64)

269 (57%, 52–61)

Gender

 Women

1868 (47%, 45–48)

601 (49%, 47–52)

147 (47%, 42–53)

86 (43%, 36–51)

188 (30%, 26–34)

220 (42%, 37–46)

178 (51%, 45–56)

143 (57%, 50–63)

288 (61%, 56–65)

Quality of life scores3 Mean (95% CI)

0.653 (0.649–0.657)

0.653 (0.645–0.661)

0.637 (0.621–0.653)

0.658 (0.639–0.677)

0.686 (0.676–0.696)

0.635 (0.635–0.636)

0.658 (0.645–0.671)

0.617 (0.599–0.636)

0.649 (0.649–0.650)

  1. Strategies with individual substrategies that had large enough sample sizes to be analyzed separately or were successful at targeting different demographics were differentiated
  2. 1Urban areas were classified as having a population ≥ 25,000
  3. 2Two categories of medications were important to this study: statins and ACEs/ARBs. Participants were classified as being prescribed or not prescribed these groups of medications
  4. 3Quality of life scores were calculated using the EQ-5D-5 L scoring system