Causes elimination of specific causes of death

among registered migrants to Thailand from Myanmar,

the Lao PDR, and Cambodia

Nucharee Srivirojana

Writing Workshop, 2009

Target Journal: Asia pacific population journal

Introduction Increasing migration from GMS increases health

burden on Thailand

3 D jobs intensify migrant’s risk of mortality

Migrant’s mortality differs from morality of native Thai

Different migrant’s cause of death will affect Thai health implementation program.

Rationales (Puzzle)

Many studies on migrant health but less studies on migrant death

Techniques applied for mortality estimation did not taken into account competing risk

Unclear understanding on actual risk of one cause on distortion of other causes will effect development of health intervention program

No cause elimination studies on migrant’s death in Thailand

Research Question & Objective

How are differences in actual risk in one causes of death on other causes among migrants from Myanmar, the Laos PDR and Cambodia residing in Thailand?

------------------

To find out differences in actual risk in one causes of death on other causes among migrants from Myanmar, the Laos PDR and Cambodia residing in Thailand

What will we learn?

Estimation of registered migrant life expectancy and probability to survive in Thailand from vital registration data

Competing risk of migrant death due to different causes.

Background

Situation on different cause of death among migrants in other countries

Differences in migrant’s survival probability and life expectancy due to different causes of death among migrants in other countries

Cause elimination concept

Studies on cause elimination on different causes of death among migrants in other countries

Data

Migrant registration data, Ministry of Interior, 2006 (Age & sex structure of migrants)

Number of registered migrant death cases from vital registration, Ministry of Interior, 2006

Study Design (Methodology)

Descriptive statistics

Cause elimination life table Multiple decrement life table Survival probability Life expectancy Partial elimination

Findings/Results (1)

88,000

90,000

92,000

94,000

96,000

98,000

100,000

102,000

Age

num

ber o

f sur

vivi

ng p

er 1

00,0

00

birth

lx,-Acci lx,-Heart lx,-Septic cemia lx,-other

0.0

10.0

20.0

30.0

40.0

50.0

60.0

70.0

80.0

age

Life

exp

ecta

ncy

ex ex,-Acci ex,-Heart ex,-Septic cemia ex,-other

Findings/Results (2)

0.00000

0.20000

0.40000

0.60000

0.80000

1.00000

1.20000

0

1-4

5-9

10-

14

15-

19

20-

24

25-

29

30-

34

35-

39

40-

44

45-

49

50-

54

55-

59

60-

64

65-

69

70+ Age

Pro

bab

ilit

y o

f su

rviv

ing

npx,-acci,0.95 npx,-acci,0.90 npx,-acci,0.80 npx,-acci,0.50

0.00000

0.20000

0.40000

0.60000

0.80000

1.00000

1.20000

0

1-4

5-9

10-

14

15-

19

20-

24

25-

29

30-

34

35-

39

40-

44

45-

49

50-

54

55-

59

60-

64

65-

69

70+ Age

Pro

babi

lity

of s

urvi

ving

npx,-heart, 0.95 npx,-heart, 0.90

npx,-heart, 0.80 npx,-heart, 0.50

0.00000

0.20000

0.40000

0.60000

0.80000

1.00000

1.20000

0

1-4

5-9

10-

14

15-

19

20-

24

25-

29

30-

34

35-

39

40-

44

45-

49

50-

54

55-

59

60-

64

65-

69

70+ Age

Pro

bab

ilit

y o

f su

rviv

ing

npx,-septic, 0.95 npx,-septic, 0.90npx,-septic, 0.80 npx,-septic, 0.50

0.00000

0.20000

0.40000

0.60000

0.80000

1.00000

1.20000

Age

Pro

babi

lity

of s

urvi

ving

npx,-other, 0.95 npx,-other, 0.90npx,-other, 0.80 npx,-other, 0.50

Conclusion Accident, heart disease, and septicemia are the major causes of

migrant’s death

Accident has the highest competing risk among other causes

Life expectancy (70.97) and probability of surviving of the GMS migrants is lower than native Thai (75.47).

The more percentages of partial elimination applied for each disease, the more people will survive

The patterns of probability of surviving after applying partial elimination are the same for all diseases.

Discussion

Results reflect that registered migrants still vulnerability to health problems.

Results did not contradicted with other researches due to statistically immortality.

Due to incompleteness and under-enumeration of migrant’s mortality data, undocumented migrants have not been covered.

New methodological development to estimate migrant mortality especially among undocumented migrants are needed