paid maternity leave and infant health in 20 low- and middle-income countries joint work with...

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PAID MATERNITY LEAVE AND INFANT HEALTH IN 20 LOW- AND MIDDLE-INCOME COUNTRIES Joint work with Mohammad Hajizadeh, Sam Harper, Erin Strumpf and Jody Heymann Arijit Nandi ([email protected] )

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PAID MATERNITY LEAVE AND INFANT HEALTH IN 20 LOW- AND MIDDLE-INCOME COUNTRIES

 

Joint work with Mohammad Hajizadeh, Sam Harper, Erin Strumpf and Jody Heymann

Arijit Nandi ([email protected])

Topics for discussion

I. Background

II. Data and Empirical methods

III. ResultsIII.I. Infant and neonatal mortalityIII.II. Vaccination uptake

IV. Limitations and discussion

I. Background. Maternity leave and child health

The millennium development goals

The UN Millennium Development Goals (MDGS) represent a global commitment to achieve significant and defined progress in three health areas between 1990 and 2015:

MDG4. Reduce child mortality—Reduce under-five mortality by two-thirds

MDG5. Improve maternity health—Reduce the maternity mortality ratio by three-quarters

MDG6. Combat HIV/AIDS, malaria & other diseases—have halted and begin to reverse the spread of major diseases

The recent Countdown to 2015 report highlights global progress toward achieving MDGS 4 and 5 (child and maternity health)

The Countdown countries comprise 75 countries with >95% of global maternity and child deaths

Tracking progress in the Countdown priority countries

WHO 2012

Evaluating progress toward MDG4: child mortality

According to Countdown: Child mortality has declined

sharply However, only 23 of 74

Countdown countries with available data are on track to achieve MDG goals for reducing child mortality by 2015, whereas 13 have made little or no progress

WHO (2012)

Trends in neonatal mortality About 43% of deaths before age 5 occur in the neonatal period Neonatal mortality has declined in all world regions since 1990 Progress has been slow in areas with the highest rates

Oestergaard (2011)

Maternity and parental leave policies Paid leave for new parents, often specifically designated for new

mothers, is a standard social benefit in most of the world

Over 180 countries have enacted legislation granting paid leave from employment in connection with the birth of a child, either in the form of maternity leave or gender-neutral parental leave

Maternity leave is leave that the country guarantees employed women in connection with the birth of a child1

Heymann et al. (2011)

Availability of paid maternity leave (2014)

Source: UCLA World Policy Analysis Center

Not a DAG!

vaccination child healthpaid maternity leave

About 29% of deaths in children 1-59 months of age are vaccine preventable

uptake of pre- and post-natal health services

prenatal maternity stress

Research suggest that conflicting work schedules are a barrier to parents immunizing their children and, therefore the provision of paid leave may facilitate vaccination uptake by removing the conflict between work and child health1

Other mechanisms might include prenatal maternity stress and uptake of pre and post-natal health services, among others

12

Extant work

Research from high-income countries: Paid maternity and paternal leave policies are consistently associated

with lower infant mortality in high-income countries1-5 Early return to work decreased diphtheria, pertussis, and tetanus

(DPT) and Polio vaccinations in the US6

Tanaka (2005) showed paid parental leave did not affect vaccination uptake in OECD countries4

Research including low- and middle-income countries (LMICs): A global ecological study showed that paid maternity leave was

associated with higher childhood vaccination rates and lower infant mortality in OECD and non-OECD countries1,7

1Heymann et al. (2011); 2Winegarden et al. (1995); 3Ruhm (2000); 4Tanaka (2005); 5Rossin (2011); 6Berge et al. (2006); 7Daku et al. (2012)

Research questions

(1) What is the effect of paid maternity leave on the probability of neonatal and infant death in low- and middle-income countries

vaccination infant and neonatal mortalitypaid maternity leave

(1)

(2)

(2) What is the effect of paid maternity leave on the probability of vaccination uptake in low- and middle-income countries

II. Data and empirical strategy

Data sources Our country-level exposure was the number of full-time equivalent

(FTE) weeks of paid maternity leave provided by each country by year

Sources of information Countries’ labour legislations The Social Security Programs Throughout the World database Other sources:

International Labour Organization’s Maternity Protection Database

Council of Europe Family Policy Database International Review of Leave Policies and Related Research

Time frame: 1995-2012

Measuring paid maternity leave

Maternity leave variables Existence of maternity leave (either paid or unpaid) Length of paid maternity leave in weeks

Includes maternity leave and parental leave (leave that either parent can take) but NO child care leave

Includes pre-natal leave Includes the basic length, without extensions for multiple births,

complications, etc. Minimum/maximum wage replacement rate (WRR) Length of paid maternity leave in Full Time Equivalency (FTE) weeks

Takes into account the wage replacement wage Always coding for the minimum WRR (e.g., if it varies by occupation) Length of paid leave in weeks * wage replacement wage

Measuring paid maternity leave

Example of maternity leave coding

Rwanda Labour Code, Article 68:• Upon delivery, every employed woman has the right to suspend her

job for a period of 12 consecutive weeks, of which at least 2 weeks are taken before the presumed date of delivery and 6 weeks afterwards

• The employer cannot give the employed woman a notice of lay off during her maternity leave

• The employed woman has the right, during the period of contract suspension, at the charge of the employer, and until the instauration of a social security system that assumes the full responsibility of the matter, to 2/3 of the salary she received before suspending her job

FTE weeks of leave = 12 * 2/3 = 8Min prenatal = 2

Max prenatal = 12 – 6 = 6FTE mandatory prenatal = 2 * 2/3 = 1.3

Data sources Our country-level exposure was the number of full-time equivalent

(FTE) weeks of paid maternity leave provided by each country by year Individual-level data from the Demographic and Health Surveys (DHS)

Nationally representative surveys in 85 different countries, 2+ surveys in 57 (updated to 2012)

Largest surveys are known as Standard DHS, but other surveys also collected e.g. AIDS and malaria indicator surveys

Core DHS questionnaires cover basic demographic and health content, including: marriage, fertility, family planning, reproductive health and child health

Optional DHS modules contain special topics, including: maternity mortality, men’s survey, anthropometry, anaemia blood testing, domestic violence

~ 5000 to 30,000 households Cover women aged 15–49 years / men aged 15–59 years / children

aged 0–59 months.

The Demographic and Health Surveys (DHS)

Data sources Our country-level exposure was the number of full-time equivalent

(FTE) weeks of paid maternity leave provided by each country by year Individual-level data from the Demographic and Health Surveys (DHS) The individual-level outcomes were:

(1) the probability of neonatal (<28 day) and infant (<1 year) death among births to mothers surveyed as part of the DHS

Vital status of live births from the past 5 years

Data sources Our country-level exposure was the number of full-time equivalent

(FTE) weeks of paid maternity leave provided by each country by year Individual-level data from the Demographic and Health Surveys (DHS) The individual-level outcomes were:

(1) the probability of neonatal (<28 day) and infant (<1 year) death among births to mothers surveyed as part of the DHS

(2) vaccination uptake among children that survived

Immunizations for living children <5 years of age The DHS collect information on immunization coverage using

vaccination cards or verbal reporting by mothers Data is collected on: (i) Bacillus Calmette-Guérin (BCG); (2)

Diphtheria, pertussis and tetanus (DPT); and (3) Polio

Immunizations for living children <5 years of age The DHS collect information on immunization coverage using

vaccination cards or verbal reporting by mothers Data is collected on: (i) Bacillus Calmette-Guérin (BCG); (2)

Diphtheria, pertussis and tetanus (DPT); and (3) Polio We excluded all births that occurred less than four months prior to

the survey to allow each child a follow-up period of at least four months to receive the vaccinations recorded by the DHS.

Data sources Our country-level exposure was the number of full-time equivalent

(FTE) weeks of paid maternity leave provided by each country by year Individual-level data from the Demographic and Health Surveys (DHS) The individual-level outcomes were:

(1) the probability of neonatal (<28 day) and infant (<1 year) death among births to mothers surveyed as part of the DHS

(2) vaccination uptake among children that survived Other covariates included:

Individual-level factors, including education, employment, HH wealth, urban residence, relevant birth characteristics

Country-level characteristics, including GDP per capita, female labor force participation, health expenditures

We used birth history data from the DHS to assemble a representative panel of live births in 20 countries from 2001–2008

These data were merged with longitudinal information on the number of FTE weeks of paid maternity leave for each country

Country DHs survey years 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011Honduras 2011 2005 Nepal 2011 2006 Uganda 2011 2006 Bangladesh 2011 2007 2004 Armenia 2010 2005 Cambodia 2010 2005 Colombia 2010 2005 Rwanda 2010 2005 Senegal 2010 2005 Zimbabwe 2010 2005 Malawi 2010 2004 Tanzania 2010 2004 Lesotho 2009 2004 Ghana 2008 2003 Kenya 2008 2003 Madagascar 2008 2003 Nigeria 2008 2003 Philippines 2008 2003 Bolivia 2008 2003 Egypt 2008 2005

Creating a panel of live births

Trends in paid maternity leave (FTE weeks)

Armen

ia

Bangla

desh

Bolivia

Cambodia

Colom

bia

Egypt

Ghan

a

Honduras

Kenya

Lesoth

o

Mad

agas

car

Mal

awi

Nepal

Niger

ia

Philippin

es

Rwan

da

Seneg

al

Tanza

nia

Uganda

Zimbab

we

0

5

10

15

20

25

2000 2001 2002 2003 2004 2005 2006 2007 2008

FT

E/W

ee

ks

General empirical strategy: regression with fixed effects We were concerned about unmeasured confounding of the effect of a

change in paid leave on the probability of infant death Linear probability regression model of general form:

where β1 measures the effect of an increase in maternity leave on our outcomes of interest: neonatal death, infant death, and vaccination, Yijt

Fixed effects for country (αj) and year (λt) to control for unobserved time-invariant confounders that vary across countries, and any shared temporal trends in neonatal mortality, respectively

Incorporated respondent-level sampling weights and robust standard errors to account for clustering

III.I. Results. Neonatal and infant mortality

Colom

bia

Armenia

Honduras

Egypt

Philippin

es

Nepal

Bolivia

Madagasc

ar

Ghana

AVERAGE

Zimbabwe

Senegal

Bangladesh

Tanzania

Kenya

Cambodia

Mala

wi

Uganda

Rwanda

Nigeria

Lesoth

o0.00

1.00

2.00

3.00

4.00

5.00

6.00

7.00

8.00

9.00

10.00

Deaths before 28 days after birth per 100 live births Deaths between 28 days and 1 year after birth per 100 live births

Rates of infant mortality/100 births for 20 LMICs

DHS years, sample sizes, and rates of neonatal and infant mortality

Effects of an increase in paid maternity leave, measured by an additional FTE month of paid leave, on the probability of neonatal death, DHS, 2001-2008

Effects of an increase in paid maternity leave, measured by an additional month of any paid leave, on the probability of neonatal death, DHS, 2001-2008

Effects of an increase in paid maternity leave, measured by an additional FTE month of paid leave, on the probability of infant death, DHS, 2001-2008

Effects of an increase in paid maternity leave, measured by an additional month of any paid leave, on the probability of infant death, DHS, 2001-2008

Effect of a one-month increase in paid maternity leave on the probability of neonatal mortality

Additional FTE month Additional month of any leave

-0.35

-0.3

-0.25

-0.2

-0.15

-0.1

-0.05

0

-0.3 -0.3

Additional FTE month Additional month of any leave

-0.8

-0.7

-0.6

-0.5

-0.4

-0.3

-0.2

-0.1

0

-0.3

-0.7

Effect of a one-month increase in paid maternity leave on the probability of infant mortality

Average rates of neonatal and infant mortality over the study period were 3.1 and 5.5 per 100 live births, respectively

Each additional month of paid maternity leave was associated with 0.3 fewer neonatal deaths per 100 live births (95% confidence interval (95%CI)=-0.6, 0)

Similarly, an additional month of paid maternity leave was associated with between 0.3 (95%CI=-1, 0.4) and 0.7 (95%CI=-1.2, -0.1) fewer infant deaths per 1000 live births, respectively, depending on whether maternity leave was measured in full time equivalent units or irrespectively of the wage replacement rate

Estimates were robust to adjustment for individual, household, and country-level confounders and inclusion of fixed effects

Summary

III.II. Results. Vaccination uptake

Descriptive statistics for analysis of vaccine uptakeVariable Mean Std. Dev.Outcome Variables

BCG 0.89 0.31DPT1 0.86 0.34DPT2 0.83 0.38DPT3 0.76 0.43Polio1 0.91 0.29Polio2 0.86 0.35Polio3 0.74 0.44

Exposure variableFTE/week 9.93 3.44

Control variablesCountry-level covariates

GDP/cap-log 6.43 0.77Total health expenditure/cap-log 4.55 0.78Government health expenditure/cap-log 3.75 0.90Female labor-force participation 52.81 18.59

Household-level covariatesMother's education/ year 5.29 4.50Household size 6.65 4.02Urban 0.30 0.46

Birth characteristicsMale 0.51 0.50Female (ref.) 0.49 0.50Birth order # 1 0.26 0.44Birth order # 2 0.22 0.41Birth order # 3 and above (ref.) 0.52 0.50Mother's age at birth - 19 and below 0.12 0.33Mother's age at birth - 20 to 39 (ref.) 0.83 0.38Mother's age at birth - 40 and above 0.05 0.22

Other Attendance of skilled health personnel 0.50 0.50

Trends in vaccination rates over time

2001 2002 2003 2004 2005 2006 2007 20080.65

0.7

0.75

0.8

0.85

0.9

0.95

BCG DPT1 DPT2 DPT3 Pol1 Pol2 Pol3

Effect of an additional FTE week of paid maternity leave on BCG vaccination

BCG DPT 1 DPT 2 DPT 3 Polio 1 Polio 2 Polio 30.00

0.50

1.00

1.50

2.00

2.50

0.10

1.71 1.74

1.94

0.00

0.18 0.23

Effect of an additional FTE week of paid maternity leave on the probabilities of BCG, DPT, and Polio vaccinations

Extending the duration of paid maternity had a positive effect on DPT immunization rates; each additional week of paid maternity leave increased the proportion of DPT1, 2 and 3 coverage by 1.71 (95% CI = 1.46, 1.96), 1.74 (CI = 1.45, 2.04) and 1.95 (CI = 1.52, 2.39)

Estimates were robust to adjustment for birth characteristics, household-level covariates, attendance of skilled health personnel and time-varying country-level covariates

We found no evidence for an effect of maternity leave on the probability of receiving vaccinations for BCG and Polio

Summary

IV. Concluding remarks

Not a RCT—always the potential unmeasured confounding, specifically by other policies or programs that coincided with changes in maternity leave policy and also influenced infant health

Our maternity leave variable is calculated based on the legislated maternity leave and does not account for other leave (i.e., parental leave)

Subnational variation in maternity leave policies Employment history of women around time of birth not available in DHS Time-varying covariates in our analysis are subject to measurement error

because they are taken at the time of interview and assigned to all prior births (e.g., mother’s education)

Use of mothers' recall for determination of child vaccination status when vaccination cards were not available [these data may still be valid: Valadez & Weld (1992), AbdelSalam & Sokal (2004)]

Results may not be generalizable beyond the sampled countries, where labor conditions, including women’s labor force participation, may vary

Limitations

Strengths Perhaps the first multilevel study of the effect of maternity leave

policies on infant health in LMICs Cross-national design and inclusion of survey weights Control for confounding, including fixed effects for country and year Extensive robustness checks

Alternative measures of the exposure Leads and lags Control for country-specific time trends

Estimating effects of social policies is hard.

http://machequity.com

Thank you.

Appendix Vaccination and Maternity Leave Data

Effect of 1 additional FTE week of paid maternity leave on DPT1

Note: Bold indicates statistical significance at 5 percent or less. Standard errors in parentheses. Findings are robust to the use of Poisson regression models and an alternate measure of maternity leave based on the ILO convention

paid maternity leave: LPM results.

 Model 1 Model 2 Model 3 Model 4 Model 5 Model 6 Model 7

DPT1 (First Dose)

FTE0.0214 (0.0006)

0.0318 (0.001)

0.033 (0.0011)

0.034 (0.0011)

0.0336 (0.0011)

0.0336 (0.0011)

0.0335 (0.0011)

Country-level covariates

  GDP/cap-log0.1199 (0.0208)

0.054 (0.0257)

0.0315 (0.0253)

0.0297 (0.0252)

0.0141 (0.0252)

  Total health expenditure/cap-log0.0801 (0.0113)

0.0815 (0.011)

0.0812 (0.011)

0.0694 (0.0109)

  Government health expenditure/cap-log0.0377 (0.0089)

0.0428 (0.0086)

0.043 (0.0086)

0.0489 (0.0086)

  Female labor-force participation0.006 (0.0005)

0.0053 (0.0005)

0.0055 (0.0005)

0.0054 (0.0005)

0.0049 (0.0005)

Household-level covariates              

  Mother's education0.0136 (0.0003)

0.0133 (0.0003)

0.013 (0.0003)

0.0105 (0.0003)

  Household size-0.0009 (0.0004)

-0.0009 (0.0004)

-0.0008 (0.0004)

  Urban 0.013 (0.0033)

0.0124 (0.0033)

-0.005 (0.0032)

Birth characteristics              

  Gender/Male-0.0006 (0.0014)

-0.0011 (0.0014)

  Birth order

    Birth order # 10.0096 (0.0022)

-0.0002 (0.0022)

    Birth order # 20.0076 (0.0019)

0.0038 (0.0019)

  Mother's age at birth

    19 and below-0.0248 (0.0029)

-0.0206 (0.0028)

    40 and above0.0064 (0.004)

0.005 (0.0039)

Other              

 Attendance of skilled health personnel 

           0.0807 (0.0027)