Table 3.

Summary Of Selected Studies Reporting Distributions of Pre-hospital Delay According to Age and Sex

First Author	Men vs Women		Age Groups (%)	Adjusted confounders	Conclusions
Behar et al13	<6 hours (h): 62% vs 47%		NA	No	Women had increased delay (↑)
Sawaya et al24	≤3 h: 41.4% vs 27.3 % 3–6h: 9.6% vs 11.1% 6–12h: 8.1% vs 8.1 % >12h: 34.5% vs 48.5%		NA	No	Women ↑
Isaksson et al19	Age< 65 years (y) <2h: 41.2% vs 41.1% <4h: 20.2% vs 19.8% 4–24h: 27.7% vs 29.2% >24h: 10.9% vs 9.8%	Age≥65years 41.1% vs 40.2% 21.2% vs 20.2% 25.4% vs 27.1% 12.3% vs 12.5%	NA	No	Age<65y: no sex differences Age ≥ 65y: women ↑; Sex differences did not narrow over time
Kaplan et al35	<6h: 82% vs 80%		<6h: <65y: 81% >65y: 59%	No	No sex differences Age differences: marginally significant
Lovlien et al21,22	≤1h: 23% vs 20% 1–2h: 26% vs 27% 2–6h: 25% vs 30% >6h: 26% vs 22%		NA	No	No sex differences
Grace et al17	Delayed*: 84.4% vs 77.8%		NA	No	No sex differences
Lovlien et al20	Patient delay ≥2h: 36% vs 34% Health care delay:≥1h: 50% vs 50%		Health care delay: patients≤50 y <1h: 62%; >1h:37%	No	No sex differences
Bank et al11	Delayed*: 46% vs 54%		NA	No	No sex differences
King et al49	<1h: 26.7% vs 26.7%	<1h: mean age: 66.1y >1h: mean age: 61.2y	No		No age or sex differences
Ting et al39	≥12 h: 7.8% vs 10.5%	≥12 h: <60y: 71% 60–69y: 8.3% 70–79y: 10.1% >79y: 12.0%		NA	NA

NA: Not available;

^*no definition of being delayed was reported