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