Table 1

Patient demographics and drowning event timing, stratified by care setting and fatality: Maryland (2016–2019)

All*Non-fatal (outpatient)Non-fatal (inpatient)Fatal (outpatient and inpatient)P value
n=541n=483n=42n=16
Age group0–4 years281 (52%)257 (53%)15 (36%)9 (56%)0.081
5–9 years127 (24%)115 (24%)10 (24%)2 (13%)
10–19 years133 (25%)111 (23%)17 (41%)5 (31%)
SexMale319 (59%)280 (58%)26 (62%)13 (81%)0.16
Female222 (41%)203 (42%)16 (38%)3 (19%)
RaceWhite292 (54%)266 (55%)22 (52%)4 (25%)0.33
African American or black165 (31%)145 (30%)12 (29%)8 (50%)
Asian10 (2%)9 (2%)1 (2%)0 (0%)
AI or Alaska Native5 (1%)5 (1.0%)0 (0%)0 (0%)
Other/unknown50 (9%)41 (9%)5 (12%)4 (25%)
Two or more races19 (4%)17 (4%)2 (5%)0 (0%)
Compressed raceWhite292 (54%)266 (55%)22 (52%)4 (25%)0.058
Non-white249 (46%)217 (45%)20 (48%)12 (75%)
EthnicitySpanish/Hispanic origin49 (9%)42 (9%)3 (7%)4 (25%)0.21
Not Spanish/Hispanic origin471 (87%)422 (87%)38 (91%)11 (69%)
Declined or unknown21 (4%)19 (4%)1 (2%)1 (6%)
CountyUrban449 (83%)400 (83%)36 (86%)13 (81%)0.93
Rural16 (3%)14 (3%)1 (2%)1 (6%)
Other/unknown76 (14%)69 (14%)5 (12%)2 (13%)
Payer 1 categoryPublic220 (41%)194 (40%)19 (45%)7 (44%)0.26
Commercial239 (44%)216 (45%)19 (45%)4 (25%)
Other/self/charity82 (15%)73 (15%)4 (10%)5 (31%)
Year2016140 (26%)122 (25%)15 (36%)3 (19%)0.47
2017152 (28%)136 (28%)12 (29%)4 (25%)
2018135 (25%)120 (25%)11 (26%)4 (25%)
2019114 (21%)105 (22%)4 (10%)5 (31%)
QuarterJanuary–March32 (6%)28 (6%)3 (7%)1 (6%)0.28
April–June221 (41%)198 (41%)13 (31%)10 (63%)
July–September270 (50%)239 (50%)26 (62%)5 (31%)
October–December18 (3%)18 (4%)0 (0%)0 (0%)
  • *Data represented as n (%).

  • AI, American Indian