Literature DB >> 20374660

Quality of cause-of-death reporting using ICD-10 drowning codes: a descriptive study of 69 countries.

Tsung-Hsueh Lu1, Philippe Lunetta, Sue Walker.   

Abstract

BACKGROUND: The systematic collection of high-quality mortality data is a prerequisite in designing relevant drowning prevention programmes. This descriptive study aimed to assess the quality (i.e., level of specificity) of cause-of-death reporting using ICD-10 drowning codes across 69 countries.
METHODS: World Health Organization (WHO) mortality data were extracted for analysis. The proportion of unintentional drowning deaths coded as unspecified at the 3-character level (ICD-10 code W74) and for which the place of occurrence was unspecified at the 4th character (.9) were calculated for each country as indicators of the quality of cause-of-death reporting.
RESULTS: In 32 of the 69 countries studied, the percentage of cases of unintentional drowning coded as unspecified at the 3-character level exceeded 50%, and in 19 countries, this percentage exceeded 80%; in contrast, the percentage was lower than 10% in only 10 countries. In 21 of the 56 countries that report 4-character codes, the percentage of unintentional drowning deaths for which the place of occurrence was unspecified at the 4th character exceeded 50%, and in 15 countries, exceeded 90%; in only 14 countries was this percentage lower than 10%.
CONCLUSION: Despite the introduction of more specific subcategories for drowning in the ICD-10, many countries were found to be failing to report sufficiently specific codes in drowning mortality data submitted to the WHO.

Entities:  

Mesh:

Year:  2010        PMID: 20374660      PMCID: PMC2858216          DOI: 10.1186/1471-2288-10-30

Source DB:  PubMed          Journal:  BMC Med Res Methodol        ISSN: 1471-2288            Impact factor:   4.615


Background

Drowning is an important but neglected global health issue [1-4]. The systematic collection of high-quality mortality data about the environmental events and circumstances leading to a case of drowning is a prerequisite to designing relevant drowning prevention programmes [5,6]. Almost all countries collect, classify and tabulate cause-of-death data according to the same standard procedure (i.e., using the International Statistical Classification of Diseases and Related Health Problems (ICD) published by the World Health Organization (WHO)) [7]. The update from the Ninth Revision (ICD-9) to the Tenth Revision (ICD-10) entailed significant changes in the classification of unintentional drowning [8]: the ICD-9 emphasised details regarding the nature of the recreational activity undertaken at the time of the event; in contrast, the ICD-10 highlights details about the nature of the body of water (e.g., bathtub, swimming pool or natural water) and the mechanism of drowning (e.g., while in water versus following a fall into water) (Table 1).
Table 1

Sub-categories of ICD-9 and ICD-10 codes for unintentional drowning (online ICD-10 codes can be accessed at http://apps.who.int/classifications/apps/icd/icd10online).

ICD-9 codeICD-10 code
E910Accidental drowning and submersionW65--W74Drowning and submersion
 E910.0while water-skiingW65while in bathtub
 E910.1while engaged in other sport or recreational activity with diving equipmentW66following fall into bathtub
 E910.2while engaged in other sport or recreational activity without diving equipmentW67while in swimming pool
 E910.3while swimming or diving for purposes other than recreation or sportW68following fall into swimming pool
 E910.4in bathtubW69while in natural water
 E910.8OtherW70following fall into natural water
 E910.9unspecified place of occurrence codeW73other specified
W74unspecified

In the ICD-10, the following fourth-character sub-divisions serve to identify the place of occurrence of the external cause where relevant:

.0 Home

.1 Residential institution

.2 School, other institution, or public administrative area

.3 Sports and athletics area

.4 Street or highway

.5 Trade and service area

.6 Industrial or construction area

.8 Other specified place

.9 Unspecified place

Sub-categories of ICD-9 and ICD-10 codes for unintentional drowning (online ICD-10 codes can be accessed at http://apps.who.int/classifications/apps/icd/icd10online). In the ICD-10, the following fourth-character sub-divisions serve to identify the place of occurrence of the external cause where relevant: .0 Home .1 Residential institution .2 School, other institution, or public administrative area .3 Sports and athletics area .4 Street or highway .5 Trade and service area .6 Industrial or construction area .8 Other specified place .9 Unspecified place Despite the innovative expansion of the classification scheme in the ICD-10 for unintentional drowning, little is known about the current quality of cause-of-death reporting using ICD-10 codes in most countries. As noted in the World Report on Child Injury, even in relatively advanced countries, information regarding the place in which drowning occurs is poorly documented on death certificates [[9], p.61]. A recent study also indicates that of the 52 countries in the WHO European region, only 23 use 4th-character subdivisions and only 3 countries had high-quality data on the place of occurrence of injuries [10]. This present study aimed to assess the quality (i.e., level of specificity) of cause-of-death reporting using ICD-10 drowning codes across countries.

Methods

Data were extracted from the WHO mortality database for analysis [11]. As of August 2009, 146 countries submitted mortality data to the WHO, of which 17 used only 3-character ICD-10 codes and 84 used 4-character ICD-10 codes. The ICD-10 codes for unintentional drowning are W65-W74 (Table 1). We excluded suicide by drowning (ICD-10 code X71), homicide by drowning (ICD-10 code X92), and cases of drowning of undetermined intent (ICD-10 code Y21), because no specific sub-categories exist for these codes in the ICD-10. To ensure statistical stability in the calculation of percentages, we included only those countries with more than 20 reported unintentional drowning deaths; thus, a total of 69 countries were included in the final analysis. To illustrate the magnitude of the mortality rates of unintentional drowning for each country, we first computed the age-adjusted drowning death rate (deaths per 100 000 people) for each country using the WHO standard population structure. The age groups used for computing age-adjusted death rates were 0-14, 15-24, 25-44, 45-64 and 65+ years of age. Of the 69 countries included in the analysis, only 43 countries had population data from which the death rate could be calculated. We then calculated two indicators of the quality (i.e., level of specificity) of cause-of-death reporting using ICD-10 codes for cases of unintentional drowning. The first indicator was the proportion of unintentional drowning deaths (ICD-10 codes W65-W74) coded as unspecified at the 3-character level (ICD-10 code W74) (Table 1); the second was the proportion of unintentional drowning deaths in which the place of occurrence was unspecified at the 4th character (.9) (Table 1). In other words, the higher the percentage of cases in which an unspecified code is reported, the poorer the quality of cause-of-death reporting.

Results

Of the 43 countries with population data available for the calculation of age-adjusted death rates, five countries had a drowning death rate higher than 5 per 100 000: 9.8 in Lithuania, 9.6 in Latvia, 7.1 in Thailand, 6.9 in the Republic of Moldova, and 5.4 in Kyrgyzstan (Table 2). In 32 of the 69 countries studied in total, the percentage of cases of unintentional drowning coded as unspecified at the 3-character level exceeded 50%, and in 19 countries, this percentage exceeded 80%; in contrast, this proportion was lower than 10% in only 10 countries. In 21 of the 56 countries that report 4-character codes, the proportion of unintentional drowning deaths in which the place of occurrence was unspecified at the fourth character exceeded 50%, and in 15 countries, the percentage exceeded 90%; in only 14 countries was this percentage lower than 10%. We found a large discrepancy between countries with regard to the unspecified codes at the 3-character level and the 4th character code; for example 99% vs. 0% respectively in El Salvador, and, in contrast, 0% versus 100% in New Zealand.
Table 2

Number and age-adjusted death rate (per 100 000 people) of unintentional drowning deaths and the proportion of drowning deaths coded as 'unspecified' in each country, ranked by the percentage of 'unspecified' cases at the 3-character level according to the WHO mortality database, August 2009.

CountryThe latest available yearNo. of deaths from unintentional drowningAge-adjusted drowning death rate% of drowning deaths classified as unspecified at the 3-character level% of drowning deaths classified as unspecified at the 4th character
Suriname200534NA10094
Kuwait2002201.710090
Guatemala200687NA10061
Thailand200242187.1100100
Peru2000656NA10096
El Salvador2006238NA990
Guyana200590NA99100
Israel2005480.798100
Belize200141NA98100
Mauritius2007383.197100
Uruguay200471NA9744
South Africa2005147NA96NA
Costa Rica2006132NA946
Taiwan20074861.989NA
Georgia2001450.989NA
Chile2005488NA891
Bahamas200242NA8652
Serbia and Montenegro, Former2002941.28411
France200610081.38253
Réunion200520NA8055
Italy20063780.67549
Paraguay200499NA6921
Spain20054941.06647
Haiti2003206545
Norway2006651.163100
Argentina2005563NA6017
Republic of Moldova20072616.9600
Kyrgyzstan20062705.45723
Netherlands2007760.4573
Egypt20001591NA54NA
Uzbekistan200510423.952NA
Azerbaijan2007620.852NA
Romania20079924.45018
Serbia20071151.446NA
Mexico20062310NA4621
Colombia20051019NA4416
Ecuador2006521NA4421
Czech Republic20071821.54431
Denmark2006460.743100
Germany20064180.44331
Brazil20056171NA4226
Republic of Korea20067571.540NA
Venezuela2005590NA3817
Sweden20061060.938100
Nicaragua2005196NA3797
Belgium1999540.537NA
Poland200610312.53452
Canada20042510.832100
Croatia2006781.33236
Austria2007750.82721
United Kingdom20072240.4242
United States of America200535821.22310
Puerto Rico200537NA190
Australia20041981.01912
Estonia2005594.117NA
Hungary20051921.7142
Trinidad and Tobago2002443.41411
Dominican Republic200429NA10100
Ireland2007511.1104
Japan200759662.597
Slovenia2007281.17NA
Hong Kong SAR200743NA70
Slovakia20051382.47NA
Lithuania20073819.861
Panama2006120NA59
Cuba2006253NA12
Latvia20072379.61NA
Finland20071432.11100
New Zealand2005561.40100
Number and age-adjusted death rate (per 100 000 people) of unintentional drowning deaths and the proportion of drowning deaths coded as 'unspecified' in each country, ranked by the percentage of 'unspecified' cases at the 3-character level according to the WHO mortality database, August 2009.

Discussion

Using the percentage of cases coded as unspecified as an indicator of the quality of cause-of-death reporting for unintentional drowning deaths using ICD-10 codes, our findings indicate that in one in seven of the countries studied the quality of cause-of-death reporting was less than acceptable. Factors associated with the coding of unintentional drowning deaths as unspecified may result from different factors, such as a lack of specific information regarding the circumstances that led to the drowning, the inadequate collection of primary data owing to insufficient police and medico-legal investigation, and incompleteness or errors during the death certification and coding process. In addition, countries may focus on different aspects of drowning for their prevention programmes and therefore require differing levels of specificity in the ICD-10 codes. For example, El Salvador may require more details about the place of occurrence of the drowning at the 4th character code level and place less emphasis on the body of water, whereas in New Zealand the focus may be more on coding information about the body of water involved and less on the place of occurrence. Additionally, the use of a national modification of the ICD-10 in New Zealand may have had an effect on reporting of place of occurrence, as the modification utilizes different codes compared with the international version of the ICD-10. An international comparison study indicated that the main reason for which injury-related deaths are coded as unspecified is that medical certifiers (including medical examiners and coroners) fail to report sufficiently detailed information on the death certificates to allow coders to assign specific codes [12]. Another study also indicated that despite the legal requirement that all unnatural deaths be subjected to forensic investigation by a physician in Thailand, the cause of death is usually described in terms of symptoms rather than attributed to a specific underlying cause, because physicians are reluctant to provide specifics and risk involvement in legal proceedings [13]. Parish also suggests that a lack of standardised methods and inadequate training for certifiers, medical examiners and coroners in addition to a lack of adequate resources for conducting investigations of deaths results in variations in the quality of mortality data for injury surveillance [14]. More efforts should focus on training medical certifiers to report specific information relevant to injury prevention on death certificates. The circumstances and environments that result in drowning deaths differ between countries according to the reported ICD codes. The differentiation of mechanisms of drowning deaths into 'while in water' from 'following a fall into water' is one of the important changes in the ICD-10. The two circumstances have different implications for injury prevention. For instance, drowning while in water would mandate the promotion of personal flotation devices and ensuring adequate supervision, whereas drowning following a fall into water would underscore the value of effective barriers. A percentage of drowning deaths coded as unspecified that was high and skewed to one particular mechanism of drowning would bias comparisons of mortality between the two mechanisms. We recommend caution in interpreting the possible effects of unspecified coding on the comparison of international drowning mortality data by sub-category. One of the limitations of this study was our use of secondary mortality data from the WHO, which lacks metadata about how each country collects information concerning circumstances resulting in and the mechanisms of unintentional drowning as well as the process of death certification and coding. The second limitation was that many countries do not yet use the ICD-10, and some countries had no available population data; having such data available would have contributed to a more complete picture of the global status. The third limitation was the difficulty in defining 'high quality' according to the percentage of cases coded as unspecified; in this study, we used a cut-off of 10%. There is no internationally recognized standard to calculate the quality of coded data. This study is simply an initial assessment of the global status of the provision of specific information in cases of death due to unintentional drowning, and further studies are needed to explore the exact reasons for the high number of cases of unintentional drowning coded as unspecified in various countries.

Conclusion

In conclusion, despite the introduction of more specific subcategories for drowning in the ICD-10, which would provide better information for the design of prevention programmes, the findings of this study illustrate that many countries fail to report sufficiently specific codes in drowning mortality data submitted to the WHO.

Competing interests

The authors declare that they have no competing interests.

Authors' contributions

THL initiated this study and conducted the primary data analyses. THL, PL and SW participated equally in the interpretation of the results and critically commented upon and drafted the manuscript. All the authors have read and approved the final version of the manuscript.

Pre-publication history

The pre-publication history for this paper can be accessed here: http://www.biomedcentral.com/1471-2288/10/30/prepub
  8 in total

1.  Coding the circumstances of injury: ICD-10 a step forward or backwards?

Authors:  J D Langley; D J Chalmers
Journal:  Inj Prev       Date:  1999-12       Impact factor: 2.399

2.  Childhood drowning is a global concern.

Authors:  Ruth A Brenner
Journal:  BMJ       Date:  2002-05-04

Review 3.  Drowning: a review of epidemiology, pathophysiology, treatment and prevention.

Authors:  Frédéric Salomez; Jean-Louis Vincent
Journal:  Resuscitation       Date:  2004-12       Impact factor: 5.262

4.  A critical assessment of mortality statistics in Thailand: potential for improvements.

Authors:  Viroj Tangcharoensathien; Pinij Faramnuayphol; Waranya Teokul; Kanitta Bundhamcharoen; Suwit Wibulpholprasert
Journal:  Bull World Health Organ       Date:  2006-03-22       Impact factor: 9.408

5.  Proportion of injury deaths with unspecified external cause codes: a comparison of Australia, Sweden, Taiwan and the US.

Authors:  T H Lu; S Walker; R N Anderson; K McKenzie; C Bjorkenstam; W H Hou
Journal:  Inj Prev       Date:  2007-08       Impact factor: 2.399

6.  Mortality due to injuries by place of occurrence in the European region: analysis of data quality in the WHO mortality database.

Authors:  I Suárez-García; D Sethi; A Hutchings
Journal:  Inj Prev       Date:  2009-08       Impact factor: 2.399

7.  Drowning--a major but neglected child health problem in rural Bangladesh: implications for low income countries.

Authors:  A Rahman; S M Giashuddin; L Svanström; F Rahman
Journal:  Int J Inj Contr Saf Promot       Date:  2006-06

8.  The epidemiology of drowning worldwide.

Authors:  M M Peden; K McGee
Journal:  Inj Control Saf Promot       Date:  2003-12
  8 in total
  11 in total

1.  Immersion deaths and drowning: issues arising in the investigation of bodies recovered from water.

Authors:  Roger W Byard
Journal:  Forensic Sci Med Pathol       Date:  2014-04-22       Impact factor: 2.007

Review 2.  Brain resuscitation in the drowning victim.

Authors:  Alexis A Topjian; Robert A Berg; Joost J L M Bierens; Christine M Branche; Robert S Clark; Hans Friberg; Cornelia W E Hoedemaekers; Michael Holzer; Laurence M Katz; Johannes T A Knape; Patrick M Kochanek; Vinay Nadkarni; Johannes G van der Hoeven; David S Warner
Journal:  Neurocrit Care       Date:  2012-12       Impact factor: 3.210

3.  Therapeutic Approaches and Mortality in Acute Respiratory Failure due to Drowning.

Authors:  Selin Çakmakcı; Begüm Ergan; Bilgin Cömert; Ali Necati Gökmen
Journal:  Turk Thorac J       Date:  2021-11

4.  Prevalence of alcohol-related pathologies at autopsy: Estonian Forensic Study of Alcohol and Premature Death.

Authors:  Jana Tuusov; Katrin Lang; Marika Väli; Kersti Pärna; Mailis Tõnisson; Inge Ringmets; Martin McKee; Anders Helander; David A Leon
Journal:  Addiction       Date:  2014-08-28       Impact factor: 6.526

5.  The Hidden Tragedy of Rivers: A Decade of Unintentional Fatal Drowning in Australia.

Authors:  Amy E Peden; Richard C Franklin; Peter A Leggat
Journal:  PLoS One       Date:  2016-08-12       Impact factor: 3.240

6.  Using a retrospective cross-sectional study to analyse unintentional fatal drowning in Australia: ICD-10 coding-based methodologies verses actual deaths.

Authors:  Amy E Peden; Richard C Franklin; Alison J Mahony; Justin Scarr; Paul D Barnsley
Journal:  BMJ Open       Date:  2017-12-21       Impact factor: 2.692

7.  The burden of unintentional drowning: global, regional and national estimates of mortality from the Global Burden of Disease 2017 Study.

Authors:  Richard Charles Franklin; Amy E Peden; Erin B Hamilton; Catherine Bisignano; Chris D Castle; Zachary V Dingels; Simon I Hay; Zichen Liu; Ali H Mokdad; Nicholas L S Roberts; Dillon O Sylte; Theo Vos; Gdiom Gebreheat Abady; Akine Eshete Abosetugn; Rushdia Ahmed; Fares Alahdab; Catalina Liliana Andrei; Carl Abelardo T Antonio; Jalal Arabloo; Aseb Arba Kinfe Arba; Ashish D Badiye; Shankar M Bakkannavar; Maciej Banach; Palash Chandra Banik; Amrit Banstola; Suzanne Lyn Barker-Collo; Akbar Barzegar; Mohsen Bayati; Pankaj Bhardwaj; Soumyadeep Bhaumik; Zulfiqar A Bhutta; Ali Bijani; Archith Boloor; Félix Carvalho; Mohiuddin Ahsanul Kabir Chowdhury; Dinh-Toi Chu; Samantha M Colquhoun; Henok Dagne; Baye Dagnew; Lalit Dandona; Rakhi Dandona; Ahmad Daryani; Samath Dhamminda Dharmaratne; Zahra Sadat Dibaji Forooshani; Hoa Thi Do; Tim Robert Driscoll; Arielle Wilder Eagan; Ziad El-Khatib; Eduarda Fernandes; Irina Filip; Florian Fischer; Berhe Gebremichael; Gaurav Gupta; Juanita A Haagsma; Shoaib Hassan; Delia Hendrie; Chi Linh Hoang; Michael K Hole; Ramesh Holla; Sorin Hostiuc; Mowafa Househ; Olayinka Stephen Ilesanmi; Leeberk Raja Inbaraj; Seyed Sina Naghibi Irvani; M Mofizul Islam; Rebecca Q Ivers; Achala Upendra Jayatilleke; Farahnaz Joukar; Rohollah Kalhor; Tanuj Kanchan; Neeti Kapoor; Amir Kasaeian; Maseer Khan; Ejaz Ahmad Khan; Jagdish Khubchandani; Kewal Krishan; G Anil Kumar; Paolo Lauriola; Alan D Lopez; Mohammed Madadin; Marek Majdan; Venkatesh Maled; Navid Manafi; Ali Manafi; Martin McKee; Hagazi Gebre Meles; Ritesh G Menezes; Tuomo J Meretoja; Ted R Miller; Prasanna Mithra; Abdollah Mohammadian-Hafshejani; Reza Mohammadpourhodki; Farnam Mohebi; Mariam Molokhia; Ghulam Mustafa; Ionut Negoi; Cuong Tat Nguyen; Huong Lan Thi Nguyen; Andrew T Olagunju; Tinuke O Olagunju; Jagadish Rao Padubidri; Keyvan Pakshir; Ashish Pathak; Suzanne Polinder; Dimas Ria Angga Pribadi; Navid Rabiee; Amir Radfar; Saleem Muhammad Rana; Jennifer Rickard; Saeed Safari; Payman Salamati; Abdallah M Samy; Abdur Razzaque Sarker; David C Schwebel; Subramanian Senthilkumaran; Faramarz Shaahmadi; Masood Ali Shaikh; Jae Il Shin; Pankaj Kumar Singh; Amin Soheili; Mark A Stokes; Hafiz Ansar Rasul Suleria; Ingan Ukur Tarigan; Mohamad-Hani Temsah; Berhe Etsay Tesfay; Pascual R Valdez; Yousef Veisani; Pengpeng Ye; Naohiro Yonemoto; Chuanhua Yu; Hasan Yusefzadeh; Sojib Bin Zaman; Zhi-Jiang Zhang; Spencer L James
Journal:  Inj Prev       Date:  2020-02-20       Impact factor: 2.399

8.  Mapping Trends in Drowning Research: A Bibliometric Analysis 1995-2020.

Authors:  Justin-Paul Scarr; Jagnoor Jagnoor
Journal:  Int J Environ Res Public Health       Date:  2021-04-16       Impact factor: 3.390

9.  Unintentional drowning mortality, by age and body of water: an analysis of 60 countries.

Authors:  Ching-Yih Lin; Yi-Fong Wang; Tsung-Hsueh Lu; Ichiro Kawach
Journal:  Inj Prev       Date:  2014-06-18       Impact factor: 2.399

10.  Changes in drowning mortality rates and quality of reporting from 2004-2005 to 2014-2015: a comparative study of 61 countries.

Authors:  Ching-Yi Lin; Liang-Yi Wang; Tsung-Hsueh Lu
Journal:  BMC Public Health       Date:  2019-10-28       Impact factor: 3.295

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.