Abstract
Background
This study assessed international variations in changes in drowning mortality rates and the quality of reporting specific information in death certificates over the past decade.
Methods
Drowning mortality data of 61 countries were extracted from the World Health Organization Mortality Database. We calculated the percentage change (PC) in age-standardized drowning mortality rates and percentage of drowning deaths reported with unspecified codes between 2004 and 2005 and 2014–2015.
Results
Of the 61 countries studied, 50 exhibited a reduction in drowning mortality rates from 2004 to 2005 to 2014–2015. Additionally, five countries—Lithuania, Moldova, Kyrgyzstan, Romania, and El Salvador—with a high mortality rate in 2004–2005 (> 40 deaths per 100,000) showed improvement (PC < − 32%). By contrast, four countries—South Africa, Guyana, Morocco, and Guatemala—exhibited a more than twofold increase in mortality rates. Regarding the quality of reporting, 34 countries exhibited a decrease in the percentage of unspecified codes. Additionally, three countries—Paraguay, Serbia, and Croatia—with moderate and high percentages of unspecified codes (> 40%) exhibited a marked reduction (PC < − 60%), whereas three countries—Malaysia, Belgium, and Nicaragua—exhibited a notable increase.
Conclusions
Large international variations in the extent of changes in drowning mortality rates and the quality of reporting specific information on the death certificate were observed during the study period.
Keywords: Drowning, Accidents, Death certificate, Mortality, International comparisons
Background
According to the Global Burden of Disease 2016 Study (GBD 2016), an estimated 302,900 people died from drowning in 2016, and more than 90% of them were from low- and middle-income countries [1]. According to the Global Report on Drowning, the key risk factors for drowning deaths are lack of barriers controlling exposure to water bodies and lack of adequate supervision for infants and young children. Additionally, poor swimming skills and lack of awareness are contributing factors to drowning deaths. In addition, high-risk behaviour, including consuming alcohol while swimming, may lead to drowning among young individuals and adults. Other risk factors are transport on water and water crossings, lack of safe water supply, and floods [2]. The World Health Organization (WHO), therefore, has suggested 10 effective measures to prevent drowning deaths, ranging from community-based solutions such as day care for children and barriers controlling access to water to effective national policies and legislations regarding water safety including setting and enforcing boating, shipping, and ferry regulations [2].
Fortunately, the age-standardized drowning mortality rate declined from 5.8 (deaths per 100,000 people) in 2006 to 4.2 in 2016, representing a − 27% change [1]. However, little is known regarding international variations in the extent of changes in drowning mortality rates. A recent study using the WHO Mortality Database examined the changes in drowning mortality rates across 21 countries meeting the following four criteria: 1) the death registration system covers 70% of the national population; 2) data are available for 10 years or more for the period between 2000 and 2013; 3) at least 100 drowning deaths have been reported for people under 20 years of age for each year; and 4) the International Classification of Disease, Tenth Edition (ICD-10) was used to code deaths for data analysis. The study reported a reduction in drowning mortality rates in 20 of the 21 countries during 2000–2013 (ranging from − 80% to − 13%) [3]. However, this study investigated only decedents under 20 years of age in 21 countries. In 20 among the total 60 countries studied, more than 50% of the drowning deaths were reported among middle-aged and older adults [4]. The circumstances of exposure to different water body types and implementation of prevention measures varied across different age groups and countries. Therefore, we hypothesize that drowning mortality rates vary when considering all age groups rather than considering only the young age group.
The quality of reported mortality data was investigated in the GBD 2016. The quality of morality data was assessed based on the completeness of death registration, fraction of deaths assigned to “garbage” codes, and fraction of deaths assigned to detailed GBD codes [1]. The GBD 2016 did not define “garbage” codes for drowning deaths. Some investigators have suggested the use of the ICD-10 code W74, “unspecified drowning and submersion,” as an indicator of the quality of reporting specific information on the death certificate [5–7]. A previous study indicated that the percentage of unspecified codes exceeded 50% for 32 of the 69 countries studied [7]. A study revealed an improvement in the quality of reporting specific information in some countries during 2000–2013 but a deterioration in the quality in other countries [3].
In this study, we assessed international variations in drowning mortality rates and the percentage of reporting unspecified codes for drowning deaths among all age groups across countries by using mortality data of the past decade. An international comparison of injury-related mortality rates could identify not only the unique health problem of a country but also successful prevention measures [8–13]. In particular, we aimed to identify the countries previously having high drowning mortality rates and the percentage of unspecified codes that showed a prominent improvement in the two indicators during the past decade, which could help discern some success stories. Additionally, we aimed to identify countries that exhibited a deterioration in the two indicators; drowning should be considered a high-priority public health concern in these countries.
Methods
Drowning mortality data for 2004–2005 and 2014–2015 were extracted from the WHO Mortality Database [14]. To ensure stability in comparing the mortality rates between 2004 and 2005 and 2014–2015, only the countries with absolute drowning deaths ≥50 in the same period were included in this study. For some countries, the latest available data might be available for 2012–2013 or 2013–2014. Many countries with high drowning deaths, such as China, India, Bangladesh, Pakistan, Nigeria, and Vietnam, did not submit mortality data to the WHO; therefore, these countries were not included in this study.
We used ICD-10 codes W65–W74 to identify drowning deaths. The age-standardized death rate (deaths per 100,000 people) of each country was calculated based on the world standard population [15]. The quality of reporting specific information on the death certificate was defined as the percentage of drowning deaths with the ICD-10 code W74, “unspecified drowning and submersion.” The higher the percentage, the poorer the reporting quality.
The percentage change (PC) in the age-standardized mortality rate and unspecified codes between 2004 and 2005 and 2014–2015 were calculated to assess the extent of change. Countries were trichotomized as good, fair, and poor in terms of improvement in the two indicators based on the PC. For countries with a drastic increase and decline in drowning mortality rates between 2004 and 2005 and 2014–2015 and countries with a higher ranking during 2014–2015, we further examined the changes in drowning mortality rates by age group.
Data visualization techniques were used to more efficiently illustrate the changes. We used a bubble-scatter plot to contrast the changes in mortality rates and percentage of unspecified codes between 2004 and 2005 (X axis) and 2014–2015 (Y axis), with the size of the bubble indicating the number of drowning deaths in each country during 2014–2015. Subsequently, we used a slopegraph to illustrate the changes in country rankings (the smaller the rank, the lower the mortality rates and percentage of unspecified codes) from 2004 to 2005 to 2014–2015. A downward slope indicates a decline in rankings. The ranking of some countries declined despite the decrease in mortality rates and percentage of unspecified codes. We used different colours to indicate the absolute change in mortality rates and percentages; blue indicates a decrease and orange indicates an increase. The dashboards can be accessed at: https://public.tableau.com/profile/robert.lu#!/vizhome/Drowningmortality/Story with permission.
Results
The numbers of all and unspecified drowning deaths, age-standardised mortality rate, and percentage of unspecified codes for each studied country during 2004–2005 and 2014–2015 as well as the PC from 2004 to 2005 to 2014–2015 are presented in Table 1.
Table 1.
Numbers of all and unspecified (Uspe) drowning deaths, age-standardized mortality rate (deaths per 100,000 people), percentage of unspecified codes (%), and from 2004 to 2005 to 2014–2015 in 61 countries
| 2004–2005 | 2014–15 | PC (%) | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Countries | All | Uspe | Rate | % | All | Unspe | Rate | % | Rate | Unspe |
| Argentina | 1130 | 720 | 14.3 | 64 | 786 | 458 | 9.1 | 58 | −36 | −9 |
| Australia | 390 | 76 | 9.7 | 19 | 376 | 56 | 7.7 | 15 | −21 | − 24 |
| Austria | 164 | 24 | 8.5 | 15 | 69 | 13 | 2.8 | 19 | − 67 | + 29 |
| Belgium | 151 | 54 | 6.4 | 36 | 152 | 119 | 5.5 | 78 | −13 | + 119 |
| Brazil | 12,602 | 5529 | 33.0 | 44 | 10,530 | 3912 | 25.1 | 37 | −24 | −15 |
| Bulgariaa | 365 | 215 | 22.8 | 59 | 271 | 152 | 17.5 | 56 | −23 | −5 |
| Canadab | 582 | 227 | 9.0 | 39 | 601 | 131 | 8.0 | 22 | −11 | − 44 |
| Chile | 1001 | 874 | 31.0 | 87 | 665 | 561 | 18.0 | 84 | −42 | −3 |
| Colombia | 2134 | 834 | 23.9 | 39 | 1547 | 176 | 16.1 | 11 | −33 | −71 |
| Costa Rica | 275 | 179 | 32.2 | 65 | 212 | 209 | 22.1 | 99 | −31 | + 51 |
| Croatia | 152 | 64 | 14.9 | 42 | 175 | 4 | 15.4 | 2 | + 3 | −95 |
| Cuba | 528 | 6 | 23.7 | 1 | 433 | 5 | 18.6 | 1 | −22 | + 2 |
| Czech | 368 | 200 | 15.8 | 54 | 307 | 94 | 11.8 | 31 | − 25 | −44 |
| Denmark | 85 | 9 | 6.6 | 11 | 59 | 6 | 3.7 | 10 | −44 | −4 |
| Ecuador | 841 | 469 | 31.2 | 56 | 700 | 277 | 21.9 | 40 | −30 | −29 |
| Egypt | 2762 | 934 | 17.5 | 34 | 3555 | 1217 | 18.5 | 34 | + 6 | + 1 |
| El Salvadora | 517 | 517 | 43.6 | 100 | 372 | 294 | 29.6 | 79 | −32 | −21 |
| Estonia | 144 | 44 | 47.8 | 31 | 100 | 8 | 32.6 | 8 | −32 | −74 |
| Finland | 287 | 5 | 22.2 | 2 | 226 | 0 | 14.6 | 0 | −34 | −100 |
| France | 2157 | 1778 | 15.0 | 82 | 1773 | 1450 | 10.5 | 82 | −30 | −1 |
| Georgia | 90 | 43 | 8.9 | 48 | 142 | 80 | 16.9 | 56 | + 90 | + 18 |
| Germany | 801 | 311 | 4.2 | 39 | 833 | 280 | 4.1 | 34 | −2 | −13 |
| Guatemala | 197 | 194 | 7.8 | 98 | 647 | 647 | 20.3 | 100 | + 161 | + 2 |
| Guyanab | 43 | 42 | 28.5 | 98 | 196 | 196 | 133.4 | 100 | + 368 | + 2 |
| Hong Kong | 80 | 14 | 4.9 | 18 | 80 | 4 | 3.9 | 5 | −19 | −71 |
| Hungary | 372 | 60 | 16.5 | 16 | 278 | 12 | 12.7 | 4 | −23 | −73 |
| Israel | 93 | 91 | 6.7 | 98 | 83 | 80 | 4.7 | 96 | −29 | −1 |
| Italy | 759 | 527 | 5.6 | 69 | 696 | 544 | 4.4 | 78 | −21 | + 13 |
| Japan | 11,806 | 1196 | 26.0 | 10 | 14,992 | 1697 | 24.5 | 11 | −6 | + 12 |
| Kyrgyzstan | 539 | 295 | 53.9 | 55 | 422 | 226 | 35.7 | 54 | −34 | −2 |
| Latvia | 435 | 51 | 93.0 | 12 | 301 | 6 | 64.3 | 2 | −31 | − 83 |
| Lithuania | 697 | 17 | 95.6 | 2 | 375 | 32 | 53.2 | 9 | −44 | + 250 |
| Malaysia | 740 | 290 | 13.8 | 39 | 525 | 480 | 8.5 | 91 | −38 | + 133 |
| Mauritius | 70 | 49 | 28.8 | 70 | 86 | 86 | 33.1 | 100 | + 15 | + 43 |
| Mexico | 4452 | 2313 | 20.4 | 52 | 4105 | 1506 | 16.1 | 37 | −21 | −29 |
| Moroccoa | 167 | 99 | 2.8 | 59 | 530 | 392 | 7.6 | 74 | + 177 | + 25 |
| Netherlands | 189 | 116 | 5.4 | 61 | 160 | 71 | 3.9 | 44 | −28 | −28 |
| New Zealandb | 134 | 5 | 16.8 | 4 | 106 | 10 | 11.8 | 9 | −30 | + 153 |
| Nicaragua | 369 | 144 | 35.1 | 39 | 281 | 214 | 23.6 | 76 | −33 | + 95 |
| Norway | 164 | 124 | 15.8 | 76 | 121 | 100 | 9.1 | 83 | −42 | + 9 |
| Panama | 247 | 11 | 36.9 | 4 | 217 | 28 | 27.4 | 13 | −26 | + 190 |
| Paraguaya | 205 | 149 | 18.0 | 73 | 338 | 79 | 25.5 | 23 | + 41 | −68 |
| Peru | 878 | 750 | 16.4 | 85 | 662 | 605 | 10.7 | 91 | −35 | + 7 |
| Poland | 1998 | 711 | 23.9 | 36 | 1501 | 46 | 17.0 | 3 | −29 | −91 |
| Portugala | 339 | 312 | 14.5 | 92 | 159 | 101 | 6.3 | 64 | − 56 | −31 |
| Korea | 1820 | 677 | 18.9 | 37 | 1153 | 592 | 9.2 | 51 | −51 | + 38 |
| Moldova | 568 | 352 | 77.8 | 62 | 364 | 204 | 47.6 | 56 | −39 | −10 |
| Romania | 2207 | 1143 | 47.9 | 52 | 1362 | 716 | 30.6 | 53 | −36 | + 2 |
| Serbia | 187 | 110 | 11.7 | 59 | 156 | 36 | 9.3 | 23 | −20 | −61 |
| Slovakiaa | 277 | 28 | 24.4 | 10 | 273 | 26 | 21.8 | 10 | −10 | −6 |
| South Africa | 221 | 206 | 2.0 | 93 | 2990 | 2983 | 26.5 | 100 | + 1195 | + 7 |
| Spain | 1066 | 715 | 10.7 | 67 | 864 | 408 | 7.2 | 47 | −33 | −30 |
| Sweden | 197 | 95 | 8.3 | 48 | 204 | 106 | 7.7 | 52 | −7 | + 8 |
| Switzerland | 83 | 59 | 5.3 | 71 | 106 | 81 | 5.4 | 76 | + 3 | + 7 |
| Taiwan | 1136 | 1035 | 24.2 | 91 | 697 | 521 | 12.6 | 75 | − 48 | −18 |
| Thailand | 8660 | 8647 | 68.8 | 100 | 6818 | 6757 | 49.4 | 99 | −28 | −1 |
| U.K. | 420 | 75 | 3.3 | 18 | 535 | 166 | 3.8 | 31 | + 17 | + 74 |
| Uruguay | 146 | 135 | 21.5 | 92 | 153 | 150 | 20.9 | 98 | −3 | + 6 |
| U.S.A. | 6890 | 1580 | 11.8 | 23 | 7008 | 983 | 10.7 | 14 | −10 | − 39 |
| Uzbekistana | 2077 | 1103 | 36.8 | 53 | 1745 | 750 | 28.3 | 43 | −23 | −19 |
| Venezuelab | 1193 | 366 | 22.4 | 31 | 868 | 306 | 14.1 | 35 | − 37 | + 15 |
aLatest available data were for 2013–2014, and the corresponding 10-year-old data were for 2003–2004
bLatest available data were for 2012–2013, and the corresponding 10-year-old data were for 2002–2003
Among the 61 countries studied, 50 exhibited a decline in drowning mortality rates from 2004 to 2005 to 2014–2015, which is indicated by their position below the diagonal line in Fig. 1a. To properly interpret the PC (e.g., some high PCs are attributed to small mortality rates at the 2004–2005 baseline), we classified the countries into high, moderate, and low on the basis of mortality rates (Table 2). Among the countries studied, five countries (Lithuania, Moldova, Kyrgyzstan, Romania, and El Salvador) with high mortality rates during 2004–2005 (> 40 deaths per 100,000) exhibited improvements (PC < − 32%) from 2004 to 2005 to 2014–2015 (Table 2), which can be prominently noted on the right lower side in Fig. 1a, whereas four countries revealed a twofold or more increase in mortality rates, namely South Africa (from 2.0 to 27, + 1195%), Guyana (from 29 to 133, + 368%), Morocco (from 2.8 to 7.6, + 177%), and Guatemala (from 7.8 to 20, + 161%) (Table 2).
Fig. 1.
Bubble-scatter plot: a drowning mortality rates (deaths per 100,000 people) and (b) reporting quality (percentage of drowning deaths with unspecified codes) of the studied countries, 2004–2005 versus 2014–2015 (size of the bubble indicates number of drowning deaths in 2014–2015). https://public.tableau.com/profile/robert.lu#!/vizhome/Drowningmortality/Story with permission
Table 2.
Countries classified according to drowning mortality rate in 2004–2005 and the PC from 2004 to 2005 to 2014–2015
| Improvement of mortality rates based on the PC from 2004 to 05 to 2014–15 | ||||
|---|---|---|---|---|
| Good (PC < − 32%) | Fair (PC − 32 to − 20%) | Poor (PC > − 20%) | ||
| Drowning mortality rate in 2004–2005, deaths per 100,000 people | High (> 24) |
Lithuania (96 to 53, − 44%); Moldova (78 to 48, −39%); Kyrgyzstan (54 to 36, − 34%); Romania (48 to 31, − 36%); El Salvador (44 to 30, − 32%); Nicaragua (35 to 24, − 33%); Chile (31 to 18, − 42%); Taiwan (24 to 13, −48%) |
Latvia (93 to 64, − 31%); Thailand (69 to 49, − 28%); Estonia (48 to 33, − 32%); Panama (37 to 27, − 26%); Uzbekistan (37 to 28, − 23%); Brazil (33 to 25, − 24%); Costa Rica (32 to 22, − 31%); Ecuador (31 to 22, − 30%) | Mauritius (29 to 33, + 15%); Guyana (29 to 133, + 368%)*; Japan (26 to 25, − 6%); Slovakia (24 to 22, − 10%) |
| Moderate (12–24) | Colombia (24 to 16, − 33%); Venezuela (22 to 14, − 37%); Finland (22 to 15, − 34%); Korea (19 to 9, − 51%); Peru (16 to 11, − 35%); Norway (16 to 9, − 42%); Portugal (14 to 6, − 56%)*; Argentina (14 to 9, − 36%); Malaysia (14 to 9, − 38%) | Poland (24 to 17, − 29%); Cuba (24 to 19, − 22%); Bulgaria (23 to 17, − 23%); Mexico (20 to 16, − 21%); New Zealand (17 to 12, − 30%); Hungary (16 to 13, − 23%); Czech (16 to 12, − 25%); France (15 to 11, − 30%) | Uruguay (22 to 21, − 3%); Paraguay (18 to 25, + 41%); Egypt (18 to 19, + 6%); Croatia (15 to 15, + 3%) | |
| Low (< 12) | Spain (11 to 7, − 33%); Austria (8 to 3, − 67%); Denmark (7 to 4, − 44%) | Serbia (12 to 9, − 20%); Australia (10 to 8, − 21%); Israel (7 to 5, − 29%); Italy (6 to 4, − 21%); Netherlands (5 to 4, − 28%) | U.S.A. (12 to 11, − 10%); Canada (9 to 8, − 11%); Georgia (9 to 17, + 90%); Sweden (8 to 8, − 7%); Guatemala (8 to 20, + 161%); Belgium (6 to 6, − 13%); Switzerland (5 to 5, + 3%); Hong Kong (5 to 4, − 19%); Germany (4 to 4, − 2%); U.K. (3 to 4, + 17%); Morocco (3 to 8, + 177%)*; South Africa (2 to 27, + 1195%) | |
Despite 50 countries exhibiting a decline in drowning mortality rates, only 38 countries were ranked higher during 2014–2015 than during 2004–2005 (Fig. 2). We also found that among the 10 top-ranking (first to tenth) countries in 2014–2015, nine were European countries. Notably, although some countries exhibited a decline in ranking (downward slope) (i.e., Germany [fourth to sixth], Belgium [ninth to tenth], Sweden [thirteenth to fifteenth], Serbia [nineteenth to twenty-first], Uruguay [thirty-fifth to forty-first], and Japan [forty-fourth to forty-sixth]), their mortality rates showed a decreasing trend (blue line).
Fig. 2.
Slopegraph: changes in the ranking of the studied countries with respect to drowning mortality rates (deaths per 100,000 people) from 2004 to 2005 to 2014–2015 (blue indicates a decrease in mortality rates and orange indicates an increase in mortality rates). https://public.tableau.com/profile/robert.lu#!/vizhome/Drowningmortality/Story with permission
Regarding the reporting quality, 34 countries exhibited a reduction in the percentage of unspecified codes (Fig. 1b). The countries were classified on the basis of their percentage of unspecified codes during 2004–2005 and the PC from 2004 to 2005 to 2014–2015 (Table 3). Three countries (i.e., Paraguay [from 73 to 23, − 68%], Serbia [from 59 to 23, − 61%], and Croatia [from 42 to 2, − 95%)] with moderate and high percentages of unspecified codes (> 40%) during 2004–2005 exhibited a notable reduction (PC < − 60%), which can be prominently noted on the right lower side in Fig. 1b. By contrast, countries with a notable increase in the percentage were Malaysia (from 39 to 91, + 133%), Belgium (from 36 to 78, + 119%), and Nicaragua (from 39 to 76, + 95%) (Table 3).
Table 3.
Countries classified according to the percentage of unspecified codes in 2004–2005 and the PC from 2004 to 2005 to 2014–2015
| Improvement of quality of reporting based on the PC from 2004 to 05 to 2014–15 | ||||
|---|---|---|---|---|
| Good (PC < − 20%) | Fair (PC − 20 to + 7%) | Poor (PC > + 7%) | ||
| Percent of unspecified code in 2004–2005,% | High (> 62) | El Salvador (100 to 79, − 21%); Portugal (92 to 64, − 31%); Paraguay (73 to 23, − 68%); Spain (67 to 47, − 30%) | Thailand (100 to 99, − 1%); Guatemala (98 to 100, + 2%); Israel (98 to 96, − 1%); Guyana (98 to 100, + 2%); Uruguay (92 to 98, + 6%); Taiwan (91 to 75, − 18%); Chile (87 to 84, − 3%); Peru (85 to 91, + 7%); France (82 to 82, − 1%); Argentina (64 to 58, − 9%) | South Africa (93 to 100, + 7%); Norway (76 to 83, + 9%); Switzerland (71 to 76, + 7%); Mauritius (70 to 100, + 43%); Italy (69 to 78, + 13%); Costa Rica (65 to 99, + 51%) |
| Moderate (37–62) | Netherlands (61 to 44, − 28%); Serbia (59 to 23, − 61%); Ecuador (56 to 40, − 29%); Czech (54 to 31, − 44%); Mexico (52 to 37, − 29%); Croatia (42 to 2, − 95%); Colombia (39 to 11, − 71%); Canada (39 to 22, − 44%) | Moldova (62 to 56, − 10%); Bulgaria (59 to 56, − 5%); Kyrgyzstan (55 to 54, − 2%); Uzbekistan (53 to 43, − 19%); Romania (52 to 53, + 2%); Brazil (44 to 37, − 15%); Germany (39 to 34, − 13%) | Morocco (59 to 74, + 25%); Sweden (48 to 52, + 8%); Georgia (48 to 56, + 18%); Malaysia (39 to 91, + 133%)*; Nicaragua (39 to 76, + 95%); Korea (37 to 51, + 38%) | |
| Low (< 37) | Poland (36 to 3, −91%); Estonia (31 to 8, − 74%); U.S.A. (23 to 14, − 39%); Australia (19 to 15, − 24%); Hong Kong (18 to 5, − 71%); Hungary (16 to 4, − 73%); Latvia (12 to 2, − 83%); Finland (2 to 0, − 100%)* | Egypt (34 to 34, + 1%); Denmark (11 to 10, − 4%); Slovakia (10 to 10, − 6%); Cuba (1 to 1, + 2%) | Belgium (36 to 78, + 119%); Venezuela (31 to 35, + 15%); U.K. (18 to 31, + 74%); Austria (15 to 19, + 29%); Japan (10 to 11, + 12%); Panama (4 to 13, + 190%); New Zealand (4 to 9, + 153%)*; Lithuania (2 to 9, + 250%)* | |
Despite 34 countries exhibiting a reduction in the percentage of unspecified codes, only 28 countries exhibited higher rankings during 2014–2015 than during 2004–2005 (Fig. 3). Similarly, during 2014–2015, of the 10 top-ranking (first to tenth) countries, seven were European countries. Notably, although some countries exhibited a decline in rankings (downward slope), namely, Slovakia (from sixth to eleventh), Denmark (from eighth to twelfth), Australia (from fourteenth to seventeenth), United States (from fifteenth to sixteenth), Germany (from twenty-second to eleventh), and Kyrgyzstan (from thirty-fifth to thirty-sixth), the percentage of unspecified codes showed a decreasing trend (blue line).
Fig. 3.
Slopegraph: changes in the ranking of the studied countries in terms of the reporting quality (percentage of drowning deaths with unspecified codes) from 2004 to 2005 to 2014–2015 (blue indicates a decrease in the percentage and orange indicates an increase in the percentage). https://public.tableau.com/profile/robert.lu#!/vizhome/Drowningmortality/Story with permission
For countries reporting a drastic increase in drowning mortality rates during the study period (South Africa, Guyana, Morocco, and Guatemala), we further analysed the mortality changes by age group (Table 4). We found that the mortality changes showed a drastic increase across all the age groups. For the three countries (Austria, Portugal, and Korea) showing the largest decline in drowning mortality rates, we found that the extent of the decline was similar in each age group. A total of four European countries (Austria, Demark, the United Kingdom, and the Netherlands) with the highest ranking (lowest mortality rates) in 2014–2015 showed the largest decline for children aged ≤14 years; however, the magnitude of the decline was less prominent for middle-aged and older adults and even increased for people aged 15 years and older in the United Kingdom.
Table 4.
Changes in drowning mortality rates by age group in selected countries
| Countries | Age, years | 2004–2005 | 2014–2015 | % change |
|---|---|---|---|---|
| Countries with largest increase in mortality rates | ||||
| South Africa | All ages | 2.0 | 26.5 | + 1195% |
| <=14 | 5.2 | 39.0 | + 644% | |
| 15–24 | 0.8 | 22.6 | + 2740% | |
| 25–44 | 0.7 | 20.2 | + 2605% | |
| 45–64 | 0.9 | 23.3 | + 2580% | |
| > = 65 | 1.9 | 25.2 | + 1215% | |
| Guyana | All ages | 28.5 | 133.4 | + 368% |
| <=14 | 22.0 | 55.3 | + 152% | |
| 15–24 | 27.3 | 139.9 | + 413% | |
| 25–44 | 38.4 | 167.3 | + 336% | |
| 45–64 | 15.3 | 202.0 | + 1216% | |
| > = 65 | 48.2 | 83.3 | + 73% | |
| Morocco | All ages | 2.8 | 7.6 | + 177% |
| <=14 | 2.5 | 7.1 | + 180% | |
| 15–24 | 4.4 | 14.0 | + 220% | |
| 25–44 | 1.8 | 7.6 | + 316% | |
| 45–64 | 0.8 | 3.9 | + 374% | |
| > = 65 | 8.0 | 5.2 | + − 36% | |
| Guatemala | All ages | 7.8 | 20.3 | + 161% |
| <=14 | 4.8 | 14.0 | + 189% | |
| 15–24 | 11.5 | 25.8 | + 124% | |
| 25–44 | 7.9 | 22.1 | + 180% | |
| 45–64 | 9.6 | 19.6 | + 103% | |
| > = 65 | 4.5 | 24.3 | + 438% | |
| Countries with largest decline in mortality rates | ||||
| Austria | All ages | 8.5 | 2.8 | −67% |
| <=14 | 4.5 | 0.8 | −82% | |
| 15–24 | 7.4 | 4.0 | −47% | |
| 25–44 | 5.8 | 1.1 | −81% | |
| 45–64 | 14.3 | 3.5 | −76% | |
| > = 65 | 18.7 | 11.7 | −38% | |
| Portugal | All ages | 14.5 | 6.3 | −56% |
| <=14 | 9.2 | 2.0 | −79% | |
| 15–24 | 14.4 | 8.1 | −44% | |
| 25–44 | 13.4 | 5.7 | −57% | |
| 45–64 | 17.9 | 9.3 | −48% | |
| > = 65 | 27.2 | 11.6 | −57% | |
| Korea | All ages | 18.9 | 9.2 | −51% |
| <=14 | 18.0 | 4.4 | −75% | |
| 15–24 | 16.4 | 5.8 | −65% | |
| 25–44 | 13.4 | 5.9 | −56% | |
| 45–64 | 20.0 | 13.0 | −35% | |
| > = 65 | 43.3 | 34.2 | −21% | |
| Countries with highest ranking (lowest mortality rates) in 2014–2015 | ||||
| Denmark | All ages | 6.6 | 3.7 | −44% |
| <=14 | 3.0 | 0.5 | −82% | |
| 15–24 | 6.7 | 2.1 | −69% | |
| 25–44 | 3.2 | 2.5 | −24% | |
| 45–64 | 12.9 | 8.0 | −38% | |
| > = 65 | 14.7 | 11.4 | −23% | |
| U.K. | All ages | 3.3 | 3.8 | + 17% |
| <=14 | 2.4 | 1.8 | −24% | |
| 15–24 | 3.5 | 4.9 | + 40% | |
| 25–44 | 3.1 | 4.0 | + 29% | |
| 45–64 | 4.0 | 4.9 | + 23% | |
| > = 65 | 4.6 | 4.9 | + 6% | |
| Netherlands | All ages | 5.4 | 3.9 | −28% |
| <=14 | 7.2 | 3.5 | −51% | |
| 15–24 | 2.6 | 2.2 | −15% | |
| 25–44 | 3.0 | 2.7 | −11% | |
| 45–64 | 6.8 | 5.0 | −27% | |
| > = 65 | 10.7 | 10.3 | −4% | |
Discussion
The findings of this study indicate that most of the studied countries (50/61) showed a decline in drowning mortality rates during the past decade. However, only half of the studied countries (34/61) exhibited an improvement in the quality of reporting specific information on the death certificate. Some countries demonstrated a larger PC in the two indicators, which could provide insights for preventing drowning deaths.
One possible explanation for the decline in drowning mortality rates in many countries is the proposal and implementation of several evidence-based drowning prevention interventions during the past decade [2, 16–19]. However, Towner et al. indicated that countries with the widest range of injury prevention legislations and strongest enforcements have not made relative progress in reducing child injury deaths since the 1970s [11]. In a historical study, Staines and Ozanne–Smith highlighted other key factors of the reduction in drowning mortality rates (i.e., infrastructural development [e.g., the development of a piped water supply system eliminated the need for reliance on hazardous water supplies or storage systems], urbanization, and mandatory schooling [thereby reducing the amount of time that children were unsupervised and in hazardous environments]) [20].
European countries showed high ranking in both the indicators, for example, nine of the ten highest ranked (lowest mortality rates) countries during 2014–2015 were European countries (Fig. 2). Most of the decline in drowning mortality rates from 2004 to 2005 to 2014–2015 in these countries were attributed to the reductions in child drowning mortality rates and possibly due to the Tools to Address Childhood Trauma, Injury and Children’s Safety funding and partnership coordinated by the European Child Safety Alliance [21]. On July 14, 2008, the European Child Safety Alliance, EuroSafe, launched a new resource titled “Protecting children and youth in water recreation: safety guidelines for service providers” [22]. This water safety resource is particularly optimized for people working in the water recreation and tourism sectors to assist them in offering safe water-related activities and services for children and families throughout Europe.
We found that four countries (South Africa, Guyana, Morocco, and Guatemala) exhibited the highest increases in drowning mortality rates from 2004 to 2005 to 2014–2015, in which an increase occurred in each age group. According to the report of The Global Facility for Disaster Reduction and Recovery, we found tsunami and flood were the possible causes of the increase in the drowning mortality rates in these four countries [23].
Regarding the improvement in the reporting quality of Paraguay, Serbia, and Croatia, we are expecting that some studies may be performed to understand if there were any interventions or efforts implemented during the past decade. The coding for drowning deaths as unspecified may result from various factors, such as lack of specific information on the circumstances that led to the drowning, inadequate collection of primary data owing to insufficient police and medico-legal investigations, and incompleteness or errors during the death certification and coding processes [7]. Information on the concerned water body is paramount in designing relevant prevention programs. For example, in Japan, the main water body for drowning deaths among older adults is the bathtub [24], for which the prevention measures would be quite different from measures required for preventing children from drowning in swimming pools.
Several limitations should be considered while interpreting the findings of this study. First, some countries with high drowning death rates, such as China, India, Bangladesh, Pakistan, Nigeria, and Vietnam, were not included in this study because of the unavailability of recent data or details in the WHO Mortality Database. Second, only two time points (2004–2005 and 2014–2015) were used to examine the changes, and some countries with a relatively small number of drowning deaths might exhibit large fluctuations in mortality rates. To avoid the improper interpretation of the changes, we further analysed the yearly mortality rates to examine whether the pattern of the mortality trend was linear or nonlinear. Third, we did not have detailed contextual information on drowning mortality rates and the reporting quality in each studied country, which impeded a reliable explanation of the changes.
Conclusions
The study findings indicate large international variations in the extent of changes in drowning mortality rates and the quality of reporting specific information on the death certificate during the past decade. Additional studies are required to thoroughly understand the reasons for the drastic improvement or deterioration in both the indicators.
Acknowledgments
The authors thank Ms. Pai-Huan Lin for the data analysis.
Abbreviations
- GBD
Global burden of disease
- ICD-10
International Classification of Diseases Tenth Revision
- WHO
World Health Organization
Authors’ contributions
C-YL and T-HL conceived the study, guided the analyses, and wrote the article draft. L-YW collected and analysed the data and critically revised the draft. C-YL and T-HL are the guarantors of the study. All authors have read and approved the manuscript, and ensure that this is the case.
Funding
This study was funded by the Ministry of Science and Technology of Taiwan under grants MOST 104–2627-M-006-008, MOST 105–2627-M-006-008, and MOST 106–2627-M-006-008. The study content is solely the responsibility of the authors and does not necessarily represent the official views of the (Ministry of Science and Technology MOST). The MOST did not play any role in the design of the study and collection, analysis, and interpretation of data and in writing the manuscript.
Availability of data and materials
The WHO Mortality Database in which this study used can be freely accessed at https://www.who.int/healthinfo/statistics/mortality_rawdata/en/ We declare that the calculation and interpretation of the mortality rates derived from WHO Mortality Database were those of the authors not the WHO.
Ethics approval and consent to participate
This study was reviewed by the Institutional Review Boards of National Cheng Kung University Hospital, and ethical review was exempted because of the use of open data.
Consent for publication
Not applicable.
Competing interests
The authors declare that they have no competing interests.
Footnotes
Publisher’s Note
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Contributor Information
Ching-Yi Lin, Email: cshy114w@yahoo.com.tw.
Liang-Yi Wang, Email: lywang@mail.ncku.edu.tw.
Tsung-Hsueh Lu, Email: robertlu@mail.ncku.edu.tw.
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
The WHO Mortality Database in which this study used can be freely accessed at https://www.who.int/healthinfo/statistics/mortality_rawdata/en/ We declare that the calculation and interpretation of the mortality rates derived from WHO Mortality Database were those of the authors not the WHO.