| Literature DB >> 28962575 |
Jiaying Zhao1,2, Edward Jow-Ching Tu3, Chi-Kin Law4,5.
Abstract
BACKGROUND: Valid and comparable cause of death (COD) statistics are crucial for health policy analyses. Variations in COD assignment across geographical areas are well-documented while socio-institutional factors may affect the process of COD and underlying cause of death (UCD) determination. This study examines the comparability of UCD statistics in Hong Kong and Shanghai, having two political systems within one country, and assesses how socio-institutional factors influence UCD comparability.Entities:
Mesh:
Year: 2017 PMID: 28962575 PMCID: PMC5622574 DOI: 10.1186/s12963-017-0155-z
Source DB: PubMed Journal: Popul Health Metr ISSN: 1478-7954
Comparison of institutional structures of death registration systems in Hong Kong and Shanghai
| Data compilation process | Hong Kong | Shanghai | |
|---|---|---|---|
| Coverage | Compulsory registration of death events | Yes | Yes |
| Required time for registration after death | 24 hours | Before cremation | |
| Coverage | De-facto (All deaths within the territory) | De-jure (permanent residents of Shanghai based on household register) | |
| Number of physicians per 10,000 population in 2008 | 18 | 27 | |
| Data initiation | Who certifies death for those dying in hospital | Attending doctors | Attending doctors |
| Who certifies death for those dying outside hospital without a doctor attending | Coroners | Non-criminal: community doctors; Criminal: police | |
| CODa coding | Coding rule of COD | ICD-10 (ACME)b | ICD-10 (Manual) |
| Data audit | Clinical record review for COD | If person dies from infectious disease; deaths with insufficient information to determine UCD | Case of death when the causal sequence is not specific or only the mechanism of death is reported |
| Training for physicians to certify death | No | Yes | |
aCause of death
bAutomated Classification of Medical Entries
Sources of data: Shanghai Municipal Statistical Bureau, National Bureau of Statistics Survey (Shanghai Groups) (2009) [18]; The Hong Kong Council of Social Service (2016) [19]; Zhao (2013) [20].
Fig. 1Certification and registration of cause of death in Hong Kong
Fig. 2Certification and registration of cause of death in Shanghai
Age-standardized death rates (ASDR) and odds ratios by selected underlying cause of death (UCD) in Hong Kong (2005–2008) and Shanghai (2005–2007)a
| UCD | ASDR | Adjusted odds ratioc | ||||
|---|---|---|---|---|---|---|
| Hong Kong | Shanghai | Hong Kong vs. Shanghai | ||||
| ASDR (per 100,000) | % of overall ASDRb | ASDR (per 100,000) | % of overall ASDRb | Estimate | 95%CI | |
| Septicemia (A40-A41) | 6.3 | 1.8 | 0.02 | 0.0 |
|
|
| Malignant neoplasms (C00-C97) | 118.6 | 33.2 | 123.3 | 30.2 |
|
|
| Diabetes mellitus (E10-E14) | 4.7 | 1.3 | 15.1 | 3.7 |
|
|
| Ischemic heart diseases (I20-I25) | 36.0 | 10.1 | 40.2 | 9.9 |
|
|
| Cerebrovascular diseases (I60-I69) | 29.8 | 8.3 | 74.1 | 18.2 |
|
|
| Pneumonia (J12-J18) | 37.6 | 10.5 | 2.1 | 0.5 |
|
|
| Chronic lower respiratory diseases (J40-J47) | 17.5 | 4.9 | 38.8 | 9.5 |
|
|
| Renal failure (N17-N19) | 11.2 | 3.1 | 1.2 | 0.3 |
|
|
| External causes (V01-Y89) | 21.6 | 6.0 | 28.6 | 7.0 |
|
|
| All causes | 357.7 | 100 | 408.1 | 100 |
|
|
aFigures in bold indicate a significance level of 0.05.
b% of overall ASDR for a certain UCD=ASDR for the UCD/ASDR for all causesa100%
c Adjusted by sex and age using logistic regression. Shanghai is the reference group
Data Sources:
Department of Health, HKSAR Government (Hong Kong); Shanghai Center for Disease Control and Prevention (Shanghai)
Number and proportion of deaths by selected underlying cause of death (UCD) by locations of death in Hong Kong and Shanghai
| UCD | Hong Kong | Shanghai | ||||||
|---|---|---|---|---|---|---|---|---|
| At hospital | At other locationsa | At hospital | At other locationsa | |||||
| Number | % | Number | % | Number | % | Number | % | |
| Septicemia (A40-A41) | 2,904 | 2.0 | 7 | 0.1 | 2 | 0.0 | 2 | 0.0 |
| Malignant neoplasms (C00-C97) | 46,949 | 32.1 | 2,226 | 20.0 | 58,274 | 36.5 | 32,074 | 22.5 |
| Diabetes mellitus (E10-E14) | 2,104 | 1.4 | 63 | 0.6 | 6,785 | 4.3 | 5,226 | 3.7 |
| Ischemic heart diseases (I20-I25) | 15,536 | 10.6 | 1,214 | 10.9 | 19,736 | 12.4 | 13,239 | 9.3 |
| Cerebrovascular diseases (I60-I69) | 13,555 | 9.3 | 385 | 3.5 | 29,450 | 18.5 | 30,826 | 21.7 |
| Pneumonia (J12-J18) | 18,653 | 12.7 | 303 | 2.7 | 987 | 0.6 | 526 | 0.4 |
| Chronic lower respiratory diseases (J40-J47) | 7,857 | 5.4 | 527 | 4.7 | 15,286 | 9.6 | 16,794 | 11.8 |
| Renal failure (N17-N19) | 5,100 | 3.5 | 58 | 0.5 | 598 | 0.4 | 346 | 0.2 |
| External causes (V01-Y89) | 4,037 | 2.8 | 3,694 | 33.2 | 6,152 | 3.9 | 11,470 | 8.1 |
| All causes | 146,466 | 100.0 | 11,125 | 100.0 | 159,530 | 100.0 | 142,360 | 100.0 |
aInclude all deaths outside hospital
Data sources:
Department of Health, HKSAR Government (Hong Kong); Shanghai Center for Disease Control and Prevention (Shanghai)
Factors affecting UCD determinations in Hong Kong and Shanghai: Extracts from interviews
| Themes | Study areas | Quotations |
|---|---|---|
| Location of death | Hong Kong |
|
| Shanghai |
| |
| Physicians’ and coders’ perceptions of causal sequence of morbid events leading to death | Hong Kong |
|
| Shanghai |
| |
| Implications of the selected UCD for the professional performance of doctors | Hong Kong |
|
| Shanghai |
| |
| Institutional influence on the procedure of quality control of cause of death statistics | Hong Kong |
|
| Shanghai |
|
Age-standardized death rates (ASDR) in Hong Kong (2005–2008) and Shanghai (2005–2007), compared to selected East Asian and Western Populations (2008)
| Cause | Australia | England & Wales | France | Germany | Japan | Korea | Sweden | Hong Kong | Shanghai | SDa | Meanb | Ratio (SD/M) |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Septicemia (A40-A41) | 3.0 | 1.9 | 3.0 | 4.0 | 2.8 | 2.5 | 3.5 | 6.3 | 0.02 | 1.7 | 3.0 | 0.6 |
| Malignant neoplasms (C00-C97) | 118.7 | 132.4 | 127.7 | 124.4 | 109.5 | 117.9 | 112.1 | 118.6 | 123.3 | 7.2 | 120.5 | 0.1 |
| Diabetes mellitus (E10-E14) | 10.5 | 4.6 | 7.5 | 10.5 | 4.3 | 17.8 | 8.7 | 4.7 | 15.1 | 4.8 | 9.3 | 0.5 |
| Ischemic heart diseases (I20-I25) | 56.8 | 63.8 | 25.2 | 63.6 | 21.8 | 22.4 | 65.9 | 36.0 | 40.2 | 18.7 | 44.0 | 0.4 |
| Cerebrovascular diseases (I60-I69) | 26.9 | 33.6 | 20.0 | 28.6 | 33.9 | 49.6 | 31.1 | 29.8 | 74.1 | 16.2 | 36.4 | 0.4 |
| Pneumonia (J12-J18) | 3.8 | 19.8 | 6.1 | 9.8 | 26.4 | 10.2 | 7.7 | 37.6 | 2.1 | 11.9 | 13.7 | 0.9 |
| Chronic lower respiratory diseases (J40-J47) | 15.8 | 22.4 | 6.0 | 12.9 | 4.7 | 13.4 | 12.0 | 17.5 | 38.8 | 10.1 | 15.9 | 0.6 |
| Renal failure (N17-N19) | 5.8 | 2.1 | 3.6 | 6.0 | 5.4 | 6.4 | 2.4 | 11.2 | 1.2 | 3.0 | 4.9 | 0.6 |
| External causes (V01-Y89) | 32.9 | 24.3 | 37.9 | 24.6 | 35.7 | 54.1 | 32.9 | 21.6 | 28.6 | 9.8 | 32.5 | 0.3 |
| All causes | 380.5 | 442.7 | 395.6 | 441.6 | 339.3 | 440.1 | 402.2 | 357.7 | 408.1 | 37.2 | 400.9 | 0.1 |
| Life expectancy at birth (years) | 81 | 80 | 81 | 80 | 83 | 80 | 81 | 82 | 81 | -- | -- | -- |
a: standard deviation for ASDR in nine listed populations.
b: mean for ASDR in nine listed populations.
Data Sources:
ASDR in Australia, England & Wales, France, Germany, Japan, Korea, and Sweden was from WHO mortality database. Life expectancy was from the World Bank Data, http://data.worldbank.org/indicator/SP.DYN.LE00.IN?name_desc=true. Accessed 30 Oct 2016.