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Induced abortion: Global trends, local research methods Gilda Sedgh February 2017
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Induced abortion: Global trends, local research methods · ABORTION INCIDENCE IN 2010-2014: 56 million induced abortions occurred each year, on average There were 35 abortions per

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Page 1: Induced abortion: Global trends, local research methods · ABORTION INCIDENCE IN 2010-2014: 56 million induced abortions occurred each year, on average There were 35 abortions per

Induced abortion: Global trends, local research methods

Gilda Sedgh

February 2017

Page 2: Induced abortion: Global trends, local research methods · ABORTION INCIDENCE IN 2010-2014: 56 million induced abortions occurred each year, on average There were 35 abortions per

© Guttmacher Institute 2016 2

WHY ESTIMATE ABORTION INCIDENCE?

To help monitor trends in abortion and unintended pregnancy

To motivate investments in prevention of unintended pregnancy and unsafe abortion

To help ensure an informed discourse on abortion

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© Guttmacher Institute 2016 3

Objectives

PRIMARY:

To calculate subregional, regional and global levels and trends in abortion incidence in 1990 to 2014

SECONDARY:

To calculate the proportion of pregnancies that end in abortion

To examine whether abortion rates vary with the legal status of abortion

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© Guttmacher Institute 2016 4

Key findings

ABORTION INCIDENCE IN 2010-2014:

56 million induced abortions occurred each year, on average

There were 35 abortions per 1,000 women aged 15-44

One in four pregnancies ended in abortion

73% of abortions were obtained by married women

The abortion rate has declined in the developed world, but not in the developing world

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© Guttmacher Institute 2016 5

Methodology

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© Guttmacher Institute 2016 6

Abortion estimation: past and present

BASIS OF PRIOR ABORTION ESTIMATES:

Available abortion data

Informal inference to countries without data

BASIS OF NEW ESTIMATES:

Available abortion data

Data on factors associated with abortion incidence

Hierarchical time series model

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© Guttmacher Institute 2016 7

Total number of abortions

with unmet need for contraception

using contraception (with failure)

with no need for contraception

Conceptual Framework Predictors of overall rates

=

+

+

Abortions among women:

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© Guttmacher Institute 2016 8

Conceptual Framework Predictors of subgroup rates

Abortions to women with unmet need

Frequency of sex

Fecundity

Strength of motivation to avoid an unplanned birth

Ability to act on fertility intentions

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© Guttmacher Institute 2016 9

1990-1994 1995-1999 2000-2004 2005-2009 2010-2014 1990-2014

World 69% 68% 67% 63% 47% 83%

Africa 1 31 10 21 41 57

Asia 75 76 80 70 45 84

LAC 69 5 19 33 3 85

N America 100 100 100 100 100 100

Europe 84 96 89 91 88 98

Oceania 79 77 75 74 12 75

Percent of women 15-44 represented by at least one observation on abortion incidence

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© Guttmacher Institute 2016 10

Findings

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© Guttmacher Institute 2016 11

About 56 million abortions took place each year in 2010-2014

Sedgh et al, Induced abortion 1990 to 2014: Global, regional, and subregional trends, Lancet 2016

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© Guttmacher Institute 2016 12

The global abortion rate fell slightly

Sedgh et al, Induced abortion 1990 to 2014: Global, regional, and subregional trends, Lancet 2016

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© Guttmacher Institute 2016 13

The abortion rate fell significantly in the developed world, but not in the developing world

Sedgh et al, Induced abortion 1990 to 2014: Global, regional, and subregional trends, Lancet 2016

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© Guttmacher Institute 2016 14 Sedgh et al, Induced abortion 1990 to 2014: Global, regional, and subregional trends, Lancet 2016

This is reflected in the regional trends

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© Guttmacher Institute 2016 15 Sedgh et al, Induced abortion 1990 to 2014: Global, regional, and subregional trends, Lancet 2016

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© Guttmacher Institute 2016 16

The percent of pregnancies ending in abortion is increasing in the developing world

Sedgh et al, Induced abortion 1990 to 2014: Global, regional, and subregional trends, Lancet 2016

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The abortion rate is similar in countries grouped by legal status

37 43

33 31 34

0

20

40

60

Prohibitedaltogether or to

save woman's life

Physical health Woman's mentalhealth

Socio-economicgrounds

On request

Sedgh et al, Induced abortion 1990 to 2014: Global, regional, and subregional trends, Lancet 2016

Abor

tions

per

1,0

00 w

omen

15-

44

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© Guttmacher Institute 2016 18

The abortion rate is higher among married women than unmarried women

36

25

33

18

37

27

0

20

40

60

World Developed countries Developing countries

Sedgh et al, Induced abortion 1990 to 2014: Global, regional, and subregional trends, Lancet 2016

Abor

tions

per

1,0

00 w

omen

15-

44 Married Unmarried

*

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© Guttmacher Institute 2016 19

Married women account for the majority of abortions

73

27

69

31

73

27

0

20

40

60

80

100

World Developed countries Developing countries

Sedgh et al, Induced abortion 1990 to 2014: Global, regional, and subregional trends, Lancet 2016

Perc

ent o

f abo

rtio

ns

Married Unmarried

* * *

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© Guttmacher Institute 2016 20

ADDITIONAL FINDINGS

88% of abortions were obtained in the developing world

The decline in the abortion rate in the developed world occurred mostly among married women

Prior global abortion estimates were conservatively low

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© Guttmacher Institute 2016 21

Findings in context (Discussion)

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© Guttmacher Institute 2016 22

UNMET NEED FOR CONTRACEPTION

225 million women in the developing world want to avoid getting pregnant but are not using a modern method of contraception

Women’s reasons for not using a method include:

o Concerns side effects and health risks of methods

o Thinking they can avoid pregnancy without a method

o Stigma related to not being married

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UNSAFE ABORTION: DEFINITION AND MEASUREMENT

WHO definition of unsafe abortion:

– Abortions done by untrained persons or in hygienic settings

Method for estimating unsafe abortions, 1990-2008:

– Unsafe abortions are illegal abortions

Method for estimating unsafe abortions, 2010-2014:

– Safety is related to strength of health care systems, gender equity, access to misoprostol

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© Guttmacher Institute 2016 24

OUTCOMES OF UNSAFE ABORTION

Treated complications:

– 6.9 million women in developing countries are treated for complications from unsafe abortion each year

– 1 out of every 5 abortions in the developing world leads to a treated complication

Maternal deaths:

– At least 22,000 women died from unsafe abortion in 2014

– Abortion case fatality rate: TBD

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© Guttmacher Institute 2016 25

POLICY RECOMMENDATIONS

Address barriers to contraceptive use in developing countries

o Improve the quality of family planning services

Ensure women have access to safe abortion care

o Abortion is prevalent throughout the world

Ensure access to post-abortion care

o Millions of women experience complications from unsafe abortions

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© Guttmacher Institute 2016 26

UK Government Dutch Ministry of Foreign Affairs

Norwegian Agency for Development Cooperation

UNDP/UNFPA/UNICEF/WHO/World Bank Special Programme of Research, Development and Research

Training in Human Reproduction

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© Guttmacher Institute 2016 27

Estimating abortion incidence in a country with clandestine

abortion

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© Guttmacher Institute 2016 28

Background National and subnational estimates of abortion incidence are

needed to:

– Inform policy decisions – Monitor progress towards achieving goals – Assessing the impacts of relevant policies

With the advent of medication abortion (MA), new estimation methods are needed

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© Guttmacher Institute 2016 29

Approaches A few approaches to estimating abortion incidence in

restrictive settings have been used:

– Direct estimation approaches ask women about their abortion experiences, but tend to suffer from underreporting.

– Indirect approaches use data on treatment for post-abortion care to infer the total number of abortions

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© Guttmacher Institute 2016 30

Research aims

Apply novel methods and some prevailing approaches to estimating abortion incidence in one country (Ghana)

Compare the different approaches with respect to potential sources of bias and the magnitude of these biases

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© Guttmacher Institute 2016 31

Current methods for estimating abortion incidence

Direct questioning

Abortion Incidence Complications Methodology (AICM)

Sealed envelope method

Randomized response technique

Prospective studies

The residual method

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© Guttmacher Institute 2016 32

Innovative methods for estimating abortion incidence

The List Experiment (LE)

The Best Friend Approach (BFA)

The Anonymous Third Party Reporting Method (ATPR)

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© Guttmacher Institute 2016 33

1. AICM

The AICM involves two surveys:

a nationally representative survey of health facilities – to estimate the number of induced abortion complications treated in

facilities

a survey of experts knowledgeable about abortion – to estimate, for each complication reaching a facility, how many induced

abortions occur without complications or with untreated complications

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© Guttmacher Institute 2016 34

1. AICM Strengths:

Provides estimates of abortion incidence, incidence of treated & untreated complications, providers women use, inequities in access to safe abortion and to postabortion care (PAC)

Most commonly used method in current abortion incidence studies, so useful for comparison

Limitations:

Proportion of abortions that are treated may be overestimated if women are increasingly having medication abortions without help from health professionals.

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© Guttmacher Institute 2016 35

2. Modified AICM

Survey of experts is replaced by community-based survey of women (CBS)

The proportion of all abortions that are treated in facilities is obtained from treatment rates among women’s self-reported abortions in the CBS

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© Guttmacher Institute 2016 36

2. Modified AICM

Strengths:

Potentially provides more accurate estimates of incidence of abortion, especially uncomplicated abortions

Can yield rich contextual information not available from conventional AICM, such as characteristics of women who have abortions

Limitations:

Assumes that women are not more likely to report abortions that had complications or that received treatment

Women may over-report complications from MA (but not treatment rates)

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© Guttmacher Institute 2016 37

3. List experiment

Involves reading respondents a list of four non-sensitive events, and asking them how many of these events they have experienced (in the last 3 years), but not which ones.

In half of the sample, abortion will be added as one of the items.

To increase power, we will use the “double list experiment”.

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© Guttmacher Institute 2016 38

3. List experiment

Strengths:

Protects the respondent’s confidentiality and increases likelihood of honest responses.

Can estimate subregional and subgroup abortion rates

Limitations:

May still underestimate incidence if respondents are reluctant to include abortion in their item count

Cannot obtain characteristics of women who have abortions, sources of abortion, incidence of complications

Can’t tell us when the abortion happened in the last 3 years

Doesn’t capture multiple abortions

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© Guttmacher Institute 2016 39

4. Three best friends approach

Hybrid of the ATPR and Best Friend approaches that capitalizes on the strengths of each

We will ask each respondent to think about the three women she is closest to and whether each woman has had an abortion in the past 3 years

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© Guttmacher Institute 2016 40

4. Three best friends approach

Strengths:

Asking about the respondent’s three best friends will triple the sample size relative to the best friend approach and self-reports.

We also avert the key limitation of the confidante approach

Can report multiple abortions

Limitations:

Assumes that the social networks of women who have and have not had abortions are similar.

Medical abortions might be missed. However women might tell their best friends about their abortions, even if they do not tell a health professional.

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© Guttmacher Institute 2016 41

5. Self-reports

We will ask women directly about their abortions, in their lifetime and in the past 3 years

However, we know that women underreport their abortions in surveys

Self-reports will represent the minimum standard against which to compare other approaches

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© Guttmacher Institute 2016 42

Comparing methods

Compare methodologies on their conceptual merits:

– AICM – Modified AICM

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© Guttmacher Institute 2016 43

Comparing methods

Compare methodologies on their conceptual merits:

– AICM – Modified AICM

Rank estimates from methods known to be prone to underreporting:

– Modified AICM – List Experiment – 3 Best Friend Approach – Self reporting

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© Guttmacher Institute 2016 44

Comparing methods

Ask about other sensitive behaviors for which a gold standard exists

– Example: ask women about their best friends’ contraceptive use and compare results with data from DHS or PMA

Compare components of the estimates against a gold standard:

– Example: compare incidence of treatment for miscarriage + abortion (combined) in surveys of women with estimates from surveys of facilities

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© Guttmacher Institute 2016 45

Comparing methods

Rank them on precision/power

– Direct reporting

– List Experiment

– 3 BFA

– AICM and mAICM – hardest to compute

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© Guttmacher Institute 2016 46

AICM

Modified AICM List

experiment

3 best friends

Self-reports

Questions and comments?

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© Guttmacher Institute 2016 48

Calculating abortion incidence

X _____ AICM/ modified AICM: # abortion complications seen in facilities

Proportion of all abortions with treated complications (AICM: from survey of experts)

(Modified AICM: from survey of women)

___________________________________________ 1000

Women 15-49

List experiment a: (mean # events reported by treatment gp) – (mean # events reported by control gp)

Number of women in CBS *3 __________________________________________________________________ X 1000

Number of best friends * 3 _______________________________________________ 1000 X # abortions reported by best friends in past 3 years 3BF a:

a: annualized over 3 years

# abortions reported by women in past 3 years # women in CBS* 3

X 1000 __________________________________________ Self-reports a:

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© Guttmacher Institute 2016 49

Comparing and validating estimates APPROACH Potential bias and

strength of bias (*) Potential impact of MA

Subgroup estimates

Measures Reference period

AICM May underestimate % of abortions with no complications ***

Increase bias, underestimate incidence

Region Incidence; ratio; complication rate; treatment rate

1 year Modified AICM

May underestimate % of abortions with no complications **

No impact (effects cancel out)

List experiment

** May under-report abortions (but not over-report) ****

Unclear

Region; urban/rural; age group

Incidence 3 years

Self-reports Incidence; complication rate; treatment rate

3 years Lifetime

3 best friends

May not capture uncomplicated abortions OR may overestimate % of friends who had abortion *

May underestimate incidence if MA less visible

Region; urban/rural

Incidence; complication rate; treatment rate

1 year 3 years Lifetime