Table 3

Drowning patient demographics, stratified by setting and age groups: Maryland (2016–2019)

OutpatientInpatient
0–4 years*5–9 years10–19 yearsP value
0–4 years5–9 years10–19 yearsP value
(n=266)(n=116)(n=112)(n=15)(n=11)(n=21)
SexMale150 (56%)70 (60%)69 (62%)0.58
9 (60%)7 (64%)14 (67%)0.92
Female116 (44%)46 (40%)43 (38%)6 (40%)4 (36%)7 (33%)
RaceWhite173 (65%)54 (47%)42 (38%)<0.001




12 (80%)2 (18%)9 (43%)0.099




Black57 (21%)44 (38%)49 (44%)2 (13%)7 (64%)6 (29%)
Asian4 (2%)2 (2%)3 (3%)0 (0%)0 (0%)1 (5%)
AI or Alaska Native2 (1%)2 (2%)1 (1%)0 (0%)0 (0%)0 (0%)
Other/unknown17 (6%)11 (9%)16 (14%)0 (0%)2 (18%)4 (19%)
Two or more13 (5%)3 (3%)1 (1%)1 (7%)0 (0%)1 (5%)
Compressed raceWhite173 (65%)54 (47%)42 (38%)<0.001
12 (80%)2 (18%)9 (43%)0.006
Non-white93 (35%)62 (53%)70 (63%)3 (20%)9 (82%)12 (57%)
EthnicitySpanish/Hispanic19 (7%)10 (9%)16 (14%)0.13

0 (0%)0 (0%)4 (19%)0.14

Not Spanish/Hispanic238 (90%)102 (88%)89 (80%)15 (100%)11 (100%)16 (76%)
Unknown9 (3%)4 (3%)7 (6%)0 (0%)0 (0%)1 (5%)
CountyUrban228 (86%)100 (86%)82 (73%)0.039

13 (87%)9 (82%)17 (81%)0.57

Rural7 (3%)2 (2%)5 (5%)0 (0%)0 (0%)2 (10%)
Other/unknown31 (12%)14 (12%)25 (22%)2 (13%)2 (18%)2 (10%)
Median charge†4284567300.0024586679011 2240.003
Health insurancePublic105 (40%)46 (40%)46 (41%)0.32

8 (53%)6 (55%)9 (43%)0.71

Commercial122 (46%)55 (47%)42 (38%)6 (40%)5 (46%)9 (43%)
Other/self/charity39 (15%)15 (13%)24 (21%)1 (7%)0 (0%)3 (14%)
  • *Data represented as n (%).

  • †Median charge reported in dollars.

  • AI, American Indian