Measurig Cause Specific Mortality Usin g Verbal Autopsy
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Transcript of Measurig Cause Specific Mortality Usin g Verbal Autopsy
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Measuring cause specific mortality:
the use of verbal autopsies
Alan Lopez
Chalapati Rao
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Uses of cause of death data
To study and explain levels, trends and differentials in age
specific mortality (Preston and disciples)
To guide priorities for resource allocation for intervention
programs, biomedical and sociomedical research
To monitor public health programs
To provide clues for epidemiological research
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Sources of national cause-specific mortality data
vital registration systemsGOLD STANDARD
sample registration systems
household surveys
population laboratories and surveillance systems
epidemiological estimates
For deaths registered in these systems, cause of death is
eithercertified by a medical practitioner
based on "verbal autopsies"
not given at all
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VR: Data availability, around 2000
WHO Region Useable dataComplete
enumerationTotal countries in
region
Africa 4 1 46
The Americas 32 14 35
Eastern Mediterranean 7 4 22
Europe 47 39 51
South-East Asia 4 0 11
Western Pacific 21 8 27
World 115 66 192
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Data quality
Quality Criterion used CountriesHigh ICD 9 or 10 coding, and
completeness >90% and ill-defined codes 20%
Albania, Argentina, Armenia, Bahrain, Bosnia and Herzegovina*, Cyprus*,Dominica*, Dominican Republic*, Ecuador, Egypt, Fiji, Greece*, Iran,Jamaica*, Kiribati, Nicaragua, Paraguay, Peru, Poland, Portugal, Qatar, SanMarino, Serbia and Montenegro, South Africa*, Sri Lanka*, Suriname*,Syrian Arab Republic, Tajikistan*, Thailand, Tonga*, Tuvalu
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Strategies to improve COD data availability
Accelerate development of civil registration
SLOW, EXPENSIVE, LOW GOVERNMENT PRIORITY
Introduce / improve physician certification, ICD coding, andstatistical processing of data
CRITICAL, NEEDS BIG WHO PUSH, NO CHAMPIONS
Introduce and develop local applications of verbal autopsyprocedures for data acquisition through
vital registration
sample registration
demographic surveillance systems
household surveys
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What is VA ?
VERBAL AUTOPSY (VA), a two step procedure
Data collection: interview of bereaved relatives to
collect information on symptoms experienced by
deceased before death, using some form of surveyinstrument
COD assignment : methods include
physician review of VA data ICD certification, coding, and tabulation
computerised algorithms for population fractions
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Principles of VA
Based on recall by relatives of symptoms \ illness prior to death,
sometimes difficult for adult deaths (similar symptoms)
Requires identification of clearly distinguishable symptom complexesfor each cause of interest, not available for some adult causes
lung cancer, TB, diabetes, different forms of liver disease etc
So far, found useful and validated for infant and maternal deaths;
deaths due to injuries
Recent experiences suggest utility of gathering information frommedical documents if available within household
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Historical use of VA
Measuring cause specific mortality in populations SCDR / SRS - India
DSP / VRChina
AMMP (Tanzania)
Investigating COD in specific age-sex cause groups infant / child deaths
maternal causes of death
Injury related deaths
Investigating outbreaks / epidemics Ebola fever epidemic in West Africa
Diarrhoeal disease in Bangladesh
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Historical use (contd)
Assessing coverage and effectiveness of disease
specific interventions insecticide impregnated bed nets in Africa
Pneumococcal vaccine trials in Bohol
Home based neonatal care in India
In developed countries
confidential enquiries of maternal mortality Sudden infant death syndrome
QOL / mental health status in terminal illness among elderly
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VA in IndiaSurvey of causes of deathrural (SCDR) 19671998 (1400 PHCs, rep)
Structured instrument, lay assignment of cause, ICD classification since 1996
problems with incomplete coverage, inadequate investigator training /
physician verification of cause
New system being implemented in SRS, covering 8 million
New instruments, field protocols, training support
Five year retrospective survey planned soon
independent field studies by Ind C Med Res in 5 zones, 1 million pop each
Need for integrated approach, involving civil registration systems
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SCDR Results
Leading causes of death, 1996-1998 and GBD 2000 estimates for India
1996 1997 1998 GBD 2000
Ill defined causes 20.6 19 18.4 0
Respiratory (incl TB) 17.8 16.4 17.2 15
Infectious (excl TB) 14.8 13.1 12 16
Cardiovascular (excl stroke) 10.2 12.1 12.5 19
External causes 8.4 8.9 9.6 10.3
Perinatal 7.9 8.7 7.9 8
Neuropsych (incl stroke) 6.2 6.5 6.6 6.6
Cancers 3.6 4.3 4.3 6.9
Anaemia 3.4 3.2 3.3 0.4
Digestive 2 2.1 2.1 3.3
Endocrine 1.2 1.1 1.2 1
Other causes 3.9 4.6 4.9 13.5
Total 100 100 100 100
Deaths 43168 44409 40351 10109157
Year
Cause group
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VA in China
Two mortality statistics systemsNMS, DSP
NMS (VR)medical certification (urban) / lay reporting (rural) 120 m pop
DSP1981, now 145 points, nationally representative, 10 m pop
medical certification / VA for household deaths (80%)
Semi structured instrument, physician COD assignment, ICD classification
since 1987
Household visit by township hospital staff
Much reliance on free text response to What was the cause of death in this
person?
Use of supportive medical documentation available at home / from hospital
records
Needs to be tested for reliability, and if possible, validity
Research projects underway (UQ, Harvard)
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DSP Results
5q0 45q15 Males 45q15 Fem
DSP 17.3 122 75
GBD 2000Leading causes of death in 2000Cause DSP 2000 GBD 2000
Stroke 18.7 17.7
COPD 12.9 13.7
Other cardiac diseases 8.2 2.6
IHD 6.3 7.5
Ill-defined diseases 5.0
Trachea, bronchus and lung cancers 3.9 3.5
Liver cancer 3.8 3.6
Hypertensive heart disease 3.6 2.3
Stomach cancer 3.5 4.5
Lower respiratory infections 3.0 3.3
Self-inflicted injuries 2.7 3
Road traffic accidents 2.3 2.6
Oesophagus cancer 2.1 2.4
Other malignant neoplasms 2.0 0.6
All other causes 22.1 32.7
Total deaths 45716 875873
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VA in Tanzania
Adult morbidity and mortality project in 3 districts 1992 onwards
Instruments developed by LSHTMAMMP
Physician assignment of cause
Non ICD mortality classification
Recent introduction of ICD certification / coding (2003) Validation study underway (UQ, Harvard, LSHTM)
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AMMP results - 2000
Cause Percent
TB/AIDS 21.4
Acute febrile illnesses 20.4
Ill defined causes 11.2
Cardiovascular 8.3
Perinatal (incl stillbirths) 7.9
Others 7.4
Acute respiratory infections 6.1
External causes 5.2
Diarrhoea 5.0
Neoplasms 4.3
Digestive 2.8
Total 100.0
Deaths 3721
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Important issues in VA Standard survey instruments including modules for
Free text narrative Structured questions
Recording household medical document information
Interviewer Education background, training
Choice of respondent Proximity to deceased, education, age and sex, cultural factors
Recall periods Minimum and maximum intervals
Cause of death assignment and ICD coding Physician / trained health professional review using standard protocols
Computerized programs
ICD mortality tabulation lists
Validation studies
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Validation studies
To develop standard verbal autopsy instruments andprocedures that are applicable in different epidemiologicaland cultural settings with minimal modifications
To measure biases in community cause of death patternswhen using VA instruments validated in hospital basedstudies
To improve understanding of quality of cause of deathinformation for estimating global and regional mortality
patterns
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Methods
VA validation study in Tanzania
VA validation and mortality statistics evaluation
study in China
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Study design - Tanzania
For each death
3000 deaths
Medical record Verbal autopsy
DC/ underlyingcause
from reviewer 1
MR Underlying cause VA Underlying cause
Agreement
Verbal autopsy validation
DC/ underlying causefrom reviewer 2
Disagreementreconciled by
consensus
DC/ underlying causefrom reviewer 1
Agreement
DC/ underlying causefrom reviewer 2
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Study design - China
Medical recordDeath certificate
Verbal autopsydeath
certificate
Verbal autopsy
validation
Routinesystem death
certificate
Routine system
reliability
rural areas
Routine system
validation urban
areas
1900 deaths 3500 deaths
2700 deaths
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Future research
Gates proposal Africa, Bangladesh, Philippines
New UQ sites in Indonesia, Thailand
Egypt, Syria, other EMRO countries ?
Expression of interest by Indian SRS to adopt WHOVA methodology ?
Other opportunities in Africa through PEPFAR?
l i
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Conclusions
Information on symptoms could be combined with available clinicalevidence for judging cause of death at individual level
Scope for application of Bayesian principles in deriving population levelcause specific mortality fractions from data gathered in surveys
For adult deaths, could be useful for understanding broad cause groupmortality at population level
A measure of discriminatory power of individual questions / algorithms foridentifying specific causes of adult deaths would be useful
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Conclusions (contd)
Need to evaluate biases from VA instrument validation in hospitalstudies, and cross cultural comparability of responses to specificquestionnaire items
Need for standardization of protocols for both data collection andcause of death assignment
All VA implementation should contain elements of validation
Examples of potential application
Sentinel sites in northern Brazil
Representative sites in Tanzania
Data quality improvement in Thailand, China
No other option to rapidly increase usability of cause ofdeath data from developing countries