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African Population Studies
Union for African Population Studies
ISSN: 0850-5780
Vol. 17, Num. 1, 2002, pp. 83-101
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African Population Studies/Etude de la Population Africaine, Vol. 17, No. 1, May 2002, pp. 83-101
Family Planning Promotion, Contraceptive Use and Fertility
Decline in Ghana
Dr. Nicholas PARR
Demographic Research Group, Macquarie University, Sydney, Australia
Code Number: ep02005
Abstract
The rapid decline in fertility since 1988 in Ghana has coincided with a
marked increase in exposure to family planning messages via radio, television
and print sources, as well as a considerable increase in the levels of education
of women of reproductive age, a marked reduction in infant and child mortality,
and an increase in the degree of urbanisation of the population. Using data
from the 1998 Ghana Demographic and Health Survey, this study investigates the
effects at the individual level of exposure to family planning messages via
radio, television and printed sources on contraceptive use and fertility. Multilevel
logistic regression analyses show that exposure to family planning messages
raises contraceptive use, but that, after controlling for covariates, these
effects do not translate into substantial effects on fertility. A woman's education,
reproductive history and urban residence are shown to be important determinants
of both her contraceptive use and her fertility.
Résumé La
rapide baisse de la fécondité notée depuis 1988 au Ghana a
coïncidé avec un développement important de
l'exposition des populations aux messages sur la planification familiale
par la radio, la télévision et la presse écrite. Pendant
cette même période, le niveau d'instruction des femmes en
âge de procréation a beaucoup augmenté, la mortalité
infantile a beaucoup baissé et le taux d'urbanisation a aussi
augmenté. En utilisant les données de l'EDS du Ghana,
l'auteur de cette étude examine l'impact au niveau
individuel, de l'exposition aux messages radio, télévision
et presse écrite de la planification familiale sur l'utilisation
des contraceptifs et la fécondité. Des analyses de
régression logistique multi-niveaux montrent que l'exposition des
messages de planification familiale augmente le niveau d'utilisation des
contraceptifs mais que, après avoir contrôlé les
co-variances, cet impact ne se traduit pas par des effets importants sur la
fécondité. Les déterminants autrement plus importants de
l'utilisation par les femmes des contraceptifs et de leur
fécondité sont leur éducation, l'historique de la
reproduction et leur résidence dans le milieu
urbain.
Introduction
Fertility has fallen markedly in Ghana in
recent years, with the rate of decline being among the most rapid in sub-Saharan
Africa. The first substantial decline at the national level occurred between the
mid-1980s and the early 1990s (Ghana Statistical Service 1994; Parr 1998).
Piecing together the sub-Saharan African context against which this decline may
be compared is hindered by substantial gaps in the availability of data that are
both reasonably reliable and readily comparable across time and from country to
country. According to Caldwell and Caldwell (1993) the decline in fertility for
black South Africans, beginning in the 1960s and accelerating from the 1970s,
was almost certainly the earliest for a black population in sub-Saharan Africa.
Large and rapid fertility declines emerged during the 1980s and 1990s in
Botswana, Kenya and Zimbabwe (Botswana Central Statistics Office and IRD1989;
Robinson 1992; Central Statistical Office 1994; Blanc and Rutstein 1994;
Zimbabwe Central Statistical Office and Macro International, NCPD et al. 1999).
Much slower declines in fertility in Cameroon and Senegal appear to have been
sustained over a similar period (Salif Ndiaye et al. 1997; Fotso et al. 1999).
In the 1990s evidence of significant national level reductions in fertility
emerged for several other sub-Saharan African countries, including two other
West African states; Cote d'Ivoire and Togo. However, Ghana's total
fertility rate (TFR) in 1998 of 4.6 births per woman is still comfortably the
lowest recorded national level of fertility in West
Africa. Trends in Factors
Affecting Fertility
The reduction in Ghanaian fertility has been accompanied by a rise in contraceptive
use, a move away from marriage, and a shortening of postpartum insusceptibility
[1]. However, for each of these proximate determinants of fertility, the Ghana
Demographic and Health Survey (GDHS) data suggest an uneven, stepped pattern
of change rather than a linear one (Table 1).
Although the percentage of Ghanaian women of reproductive age who were using
a method of contraception rose significantly between 1988 and 1993, the results
of the 1998 GDHS suggest only a slight change occurred between 1993 and 1998,
a trend difficult to reconcile with the substantial drop in fertility between
these dates (Ghana Statistical Service 1989, 1994, 1999). The surprisingly low
rates of contraceptive use recorded by the GDHS may be affected by an underreporting
of contraceptive use, because women either fear the reaction of their husband
and the extended family, or at least would prefer to avoid the criticism, or
even ridicule, that they or their husbands may subjected to if their use of
contraception (and the associated infidelity or premature resumption of postnatal
sexual relations) became known in the community (Awusabo-Asare and Anarfi 1997;
Bawah et al. 1999). Indeed the popularity of using contraceptive injections
among Ghanaian women is attributable in part to women being able to use this
method without their husband, his family or the community knowing about it,
as well as to its greater convenience.
Table 1: Total Fertility Rate and Selected Measures of Proximate
Determinants of Fertility: 1988, 1993 and 1998 Ghana Demographic
and Health Surveys |
Determinants
of Fertiltiy |
Selected
Years |
|
1988 |
1993 |
1998 |
Total
Fertility Rate |
6.4 |
5.5 |
4.6 |
Percentage
of Married Women Currently Using a Method of Contraception |
13 |
20 |
22 |
Percentage
of Married Women Currently Using a Modern Method |
5 |
10 |
13 |
Percentage
of All Women Currently Using a Method of Contraception |
12 |
19 |
18 |
Percentage
of All Women Currently Using a Modern Method1 |
5 |
9 |
11 |
Percentage
of All Women Ever Used a Method of Contraception |
34 |
43 |
45 |
Percentage
of All Women Ever Used a Modern Method of Contraception |
21 |
30 |
33 |
Percentage
of Women who are Currently Married |
70 |
70 |
65 |
Percentage
of All Women who have Ever Married |
81 |
81 |
76 |
Median
Duration of Postpartum Insusceptibility (months)+ |
16 |
16 |
14 |
Median
Duration of Postpartum Amenorrhoea (months)+ |
11 |
13 |
11 |
Median
Duration of Postpartum Abstinence (months)+ |
10 |
9 |
9 |
Sources: Ghana Statistical Service 1989,
1994, 1999.
+ Based on current status data. |
The percentage of women who are currently married [2] changed little between
1988 and 1993, but fell markedly between 1993 and 1998 (Ghana Statistical
Service 1989, 1994, 1999). The reduction in the prevalence of marriage reflects
both an increase in the percentage of women of reproductive age who have never
married and an increase in the percentage of women who have not repartnered
following a marital dissolution, with the former accounting for a majority
of the change. Increased premarital sexual activity, increased male and female
participation in education, the economic hardship felt by many men, and an
apparent unwillingness of some men to accept family responsibilities are factors
behind this move away from marriage (Mensch et al. 1999).
The median duration of postpartum insusceptibility did not change at all
between 1988 and 1993, but a marked drop is evident between 1993 and 1998
(Table 1). Some of the reduction in the median duration of postpartum sexual
abstinence is due to contraception being adopted as an alternative means of
ensuring birth spacing. Awusabo-Asare and Anarfi (1997) suggest that rising
HIV/AIDS prevalence in Ghana may also be a factor, because some women may
resume sexual activity with their husband early to reduce the likelihood of
him seeking sexual intercourse elsewhere.
The decline in total fertility in urban areas has been almost double the
decline in rural areas. Between the 1988 and 1993 GDHS the reduction in fertility
was more marked among the more educated women than among women with primary
level or no education, but since 1993 a substantial reduction in fertility
has been common to women of all levels of education. A substantial change
in fertility preferences is evident from the GDHS data (Table 2). The percentage
of women with a preference for two or three children increased dramatically
from 10 % in 1988 to 30 % in 1998, whilst the percentages of women with a
preference for six or more children and women who gave a non-numeric response
declined considerably (Ghana Statistical Service 1989, 1994, 1999). Whilst
preference for a small family size is more widespread in urban areas than
in rural areas, qualitative data collected in the Kassena-Nankana area illustrate
lucidly that a preference for a small family size is now evident even among
some residents of a predominantly rural and traditional region of northern
Ghana (Adongo et al. 1998).
Table 2: Distribution of Women by Ideal Family
Size 1988, 1993 and 1998 Ghana
Demographic and Health Surveys |
Ideal
Family Size |
Selected
Years |
|
1988 |
1993 |
1998 |
Below
2 |
0 |
1 |
1 |
2 |
3 |
11 |
11 |
3 |
7 |
16 |
19 |
4 |
33 |
36 |
36 |
5 |
10 |
9 |
10 |
6+ |
35 |
21 |
17 |
Non-Numeric |
13 |
7 |
7 |
Sources: Ghana Statistical Service 1989,
1994, 1999. |
One of the most marked changes coinciding with Ghana's fertility decline
has been the increase in the exposure to family planning messages via the
media. The percentage of women who had heard family planning messages via
the radio increased from 35 in 1993 to 51 in 1998, whilst the percentage who
had seen family planning messages on television rose from 22 in 1993 to 34
in 1998 (Table 3). A substantial increase in the ownership of electrical goods
can partly account for these changes. The percentage of households possessing
a radio increased from 41 in 1993 and 50 in 1998, whilst the percentage living
in a household with a TV increased from 13 in 1993 to 21 in 1998 (Ghana Statistical
Service 1994, 1999). The 1998 GDHS found that 11 % of women had read a family
planning message in a newspaper or magazine. Almost a third (33 %) had seen
a poster promoting family planning, but only 8 per cent had read a brochure
or a leaflet promoting family planning (Ghana Statistical Service 1999). Other
important sources of information about family planning in Ghana are community
drama, health and family planning workers, and friends and relatives. Condom
promotion aimed primarily at preventing the spread of AIDS has become an increasingly
prevalent form of family planning promotion. The magnitude of the increase
in exposure to family planning messages in Ghana, coupled with the importance
of this factor as a determinant of contraceptive use and fertility in other
sub-Saharan African contexts [3], provide compelling reasons to study the
effects of this factor in the context of Ghana's fertility decline.
Several other changes that might contribute to the explanation of the substantial
reduction in fertility over this period are demonstrated by the GDHS data.
The levels of education of women of childbearing age increased substantially,
whilst the mortality rate of under-fives declined markedly (Table 3). The
percentage of respondents who live in an urban area rose between the 1988
and 1993 surveys, but was slightly lower for the 1998 survey than for 1993.
Table 3: Selected Indicators of the Socioeconomic,
Demographic
and Family Planning Promotional Background to Fertility: 1988,
1993 and 1998 Ghana Demographic and Health Surveys. |
FP
Promotinal Background |
Selected
Years |
|
1988 |
1993 |
1998 |
Percentage
of Women who have heard a Family Planning Message over the Radio |
NA |
35 |
51 |
Percentage
of Women who have seen a Family Planning Message on the Television |
NA |
22 |
34 |
Percentage
of Women with Secondary or Higher Education |
44 |
49 |
53 |
Percentage
of Women Living in an Urban Area |
34 |
38 |
36 |
Under
5 Mortality Rate (per 1000 live births) |
155 |
119 |
108 |
Infant
Mortality Rate (per 1000 live births) |
77 |
66 |
57 |
Sources: Ghana Statistical Service 1989,
1994, 1999. NA Not Available |
The increase in women's education, particularly the increase in the percentage
of women with secondary level or higher education, may have contributed to
the reduction in fertility, because women pursuing an education will try to
prevent the disruption of their plans that would result from pregnancy or
childbirth, and because more educated parents are more likely to aspire for
their children to be well educated and restrict their family size to ensure
that adequate funds are available for this purpose. Even the well educated
who are well-off may restrict their fertility in order that their children
may benefit from being sent to the best (and most expensive) schools.
The cultural importance of having adequate numbers of surviving children,
sons and daughters, and, above all, of avoiding being childless, has been
well-documented (Caldwell and Caldwell 1987, 1990). However, recent research
in the Kassena-Nankana area in the Upper East region demonstrates that traditional
religious messages regarding fertility behaviour can be influenced by the
prevailing social and economic climate (Adongo et al. 1998). Increased rates
of child survival may explain some of the reduction in fertility, because
fewer additional children are seen as necessary to ensure being without surviving
children and reaching an adequate number and mix of survivors. Furthermore,
the curtailment of breastfeeding, amenorrhoea and postpartum sexual abstinence
due to infant death is reduced as rates of infant and child survival increase.
The urbanisation of the population may explain some of the reduction in fertility,
because urban dwellers are more likely to restrict their fertility in order
that their children may be educated and provided for adequately. Moreover,
moves by young rural dwellers to find employment in the urban cash economy
may reduce fertility rates in rural areas, because parents are less certain
that in the future children will be a source of farm labour and support in
old age (Phillips et al 2000).
This study examines empirically the effects of women's exposure to family
planning messages by a range of different media, their education, child mortality
and survivorship experiences, place of residence, religion and ethnicity on
their propensity to use contraception, using data from the 1998 GDHS. Particular
attention is paid to the effects of family planning promotion by radio, television,
newspapers or magazines, or posters, brochures or leaflets. The study also
analyses whether these effects translate into effects on a woman's fertility,
and discusses the implications of the findings for the explanation of Ghana's
fertility decline.
Data and Methodology
The 1998 Ghana Demographic and Health Survey Data
The 1998 GDHS interviewed 4483 women aged 15 to 49 years from 6,003 households
about their fertility, use and knowledge of family planning, child health,
nutrition and mortality, breastfeeding and maternity care and awareness of
AIDS and STDs. The interviews were completed between November 1998 and February
1999 (Ghana Statistical Service 1999). The nationally representative, stratified,
two-stage cluster sample design for the 1998 GDHS collected data from 400
census enumeration areas, the same number that was used in the earlier 1993
survey, but a far larger number than for the 1988 survey. The substantial
increase in the number of clusters used may reduce the sampling error associated
with national-level estimates of measures of variables collected as part of
the survey (Kish and Frankel 1974). A disadvantage of a sample design involving
smaller numbers of women being sampled per cluster is the reduced accuracy
of measurements of variables at the cluster level, and the associated difficulties
this creates for contextual analysis (Casterline 1985; Goldstein 1995).
Methodology
Cross-tabulations are presented to describe the extent to which contraceptive
use differs between women who have been exposed to family planing messages
by radio, television, newspapers or magazines, and posters, brochures and
leaflets and women without such exposure. Differentials in exposure to family
planning messages via these four types of media and by demographic, socio-economic,
cultural and locational variables are described, as are differentials in contraceptive
use. A multivariate, multilevel logistic regression analysis is presented
to measure the extent to which the probability of a woman currently using
any method of contraception is affected by exposure to family planning messages
via the radio, television, newspapers or magazines, and posters, brochures
or leaflets, after controlling for other variables likely to affect contraceptive
use. The control variables used are; a woman's age, her highest level of education,
whether she lives in an urban area or a rural area, the region in which she
lives, her religion, her ethno-linguistic group, her number of surviving children,
and the number of children she has given birth to that are now dead. The number
of surviving children and the number of dead children are treated as continuous
variables. Exploratory analyses showed modeling the effects of these variables
as linear effects to be appropriate. The other explanatory variables are treated
as categorical variables. In a bid to ensure careful treatment of variables,
some of the categories of variables available in the DHS data set have been
combined, subject to the combined category being substantively coherent and
the differences between the effects of the original sub-components being not
statistically significant (for example the Asante, Akwapim, Fante and other
Akan were grouped together as "Akan"). Random effects for cluster of residence
are estimated in the models to measure the variables between cluster variance
of residuals, and to improve the accuracy of the assessment of the significance
of coefficients and related goodness-of-fit statistics (Holt and Ewings 1989;
Goldstein 1995). The formulation of the model used is:
where Pij is the probability that woman (i) in community (j) is
using contraception
Xij is a vector of characteristics of woman (i) in community (j)
b is a vector of parameters
Uj is the value of the random effect for community (j)
Differentials in fertility levels by exposure to family planning messages
via the four types of media and by background variables are also presented.
A multilevel, logistic analysis of a measure of current fertility is presented
to show whether the effects of the explanatory variables on contraceptive
use translate into effects on fertility. The measure of current fertility
analysed is a binary variable; whether a woman gave birth in the 12 months
before she was interviewed. The coefficients of the analysis may be affected
to some degree by reverse causality, because the response variable was measured
over a period of time that precedes the point in time at which most of the
explanatory variables were measured. However, restricting the time period
over which fertility was measured to one year before the survey, rather a
longer period, should minimise such effects. The explanatory variables used
are identical to those used for the analysis of contraceptive use, except
that, in order to avoid an overlap with the response variable, the number
of surviving children and the number of child deaths have been calculated
for the start of the year before the interview.
Results
Differentials in Exposure to Family Planning Messages, Contraceptive
Use and Fertility
Women who have heard or seen family planning messages via the radio, television,
newspapers or magazines, or posters, brochures or leaflets are considerably
more likely to be using contraception than women who have not heard or seen
such messages (Table 4). However, differences in contraceptive use rates between
women with different types of media exposure to family planning messages are
slight. Some of the correlation between exposure to family planning via posters,
brochures or leaflets and contraceptive use is due to the exposure of contraceptive
users to posters, brochures and leaflets at hospitals, family planning clinics,
pharmacies, drug stores and other sources of contraceptive supply.
The percentage of women who have given birth over the last year is lower
among women who have been exposed to family planning messages by the radio,
television or newspapers or magazines than among women who have not been exposed
to them. The small number of women who have seen messages about family planning
in newspapers or magazines have a particularly low level of fertility. The
fertility of women who have seen information about family planning on a poster
or in a brochure or leaflet differs little from the national average. This
in part reflects that some of the exposure to posters, brochures or leaflets
occurs when women attend antenatal or postnatal classes; fertility causes
some exposure to family planning posters, brochures and leaflets. Thus, the
effect that seeing family planning posters, brochures or leaflets has in reducing
fertility is offset by the effect fertility has in increasing exposure to
these types of family planning messages.
Some of higher contraceptive use and the lower fertility of women who have
been exposed to family planning messages via the media may be attributable
to their tending to have other characteristics that are associated with relatively
high levels of contraceptive use and relatively low fertility. For example,
Table 5 shows that exposure to family planning is markedly greater among more
highly educated women than among less educated women. Differences in literacy
rates are a factor behind the greater exposure to family planning messages
via the visual media of the more educated. The greater wealth of and hence
ability to afford radios, televisions, newspapers and magazines of the more
educated would be another factor. As women's highest level of education increases,
contraceptive use increases and fertility declines (Table 4). Thus, some or
all of the higher contraceptive use rates and lower fertility of women who
have been exposed to family planning messages may be attributable to their
educational profile.
Table 4: Percentage Currently Using Contraception
and
Percentage who Gave Birth in Last 12 Months by Exposure to
Family Planning Messages by Type of Media and Background
Variables: 1998 Ghana Demographic and Health Survey |
Characteristic |
Percentage
Currently Using Contraception |
Percentage
Gave Birth in Last Year |
n |
Exposure
to Family Planning Messages by Media |
Radio |
23.3 |
12.8 |
2334 |
Television |
25.8 |
11.1 |
1504 |
Newspaper
or Magazine |
26.8 |
8.3 |
470 |
Poster,
Brochure or Leaflet |
23.9 |
13.7 |
1505 |
Age |
|
|
|
15-19 |
7.9 |
5.8 |
889 |
20-24 |
17.8 |
19.2 |
887 |
25-29 |
19.8 |
23.3 |
857 |
30-34 |
21.6 |
20.1 |
661 |
35-39 |
21.5 |
13.6 |
627 |
40-44 |
18.0 |
11.6 |
484 |
45-49 |
11.6 |
1.4 |
438 |
Type
of Place of Residence |
|
|
|
Rural |
13.8 |
17.2 |
3258 |
Urban |
23.0 |
9.0 |
1585 |
Region |
|
|
|
Western |
14.6 |
13.3 |
519 |
Central |
14.8 |
14.3 |
447 |
Greater
Accra |
24.1 |
9.0 |
692 |
Volta |
18.7 |
13.4 |
439 |
Eastern |
21.3 |
13.1 |
550 |
Ashanti |
19.1 |
15.7 |
629 |
Brong
Ahafo |
21.0 |
17.2 |
309 |
Northern |
9.6 |
20.3 |
355 |
Upper
West |
11.4 |
20.0 |
350 |
Upper
East |
8.5 |
14.8 |
553 |
Education |
|
|
|
None |
10.3 |
19.9 |
1737 |
Primary |
15.3 |
16.4 |
813 |
Secondary
or Higher |
22.1 |
10.5 |
2293 |
Religion |
|
|
|
Christian |
19.2 |
13.2 |
3499 |
Moslem |
14.3 |
16.0 |
642 |
Traditional,
Other or None |
7.3 |
19.4 |
702 |
Ethnicity |
|
|
|
All Akan |
19.4 |
12.9 |
2240 |
Ga-Adangbe |
23.6 |
11.3 |
344 |
Ewe |
18.0 |
12.7 |
646 |
Guan |
15.5 |
18.3 |
71 |
Mole-Dagbani |
12.0 |
16.5 |
510 |
Other
|
10.8 |
19.0 |
1032 |
Source: 1998 Ghana Demographic and Health
Survey Data.
|
Exposure to family planning messages is far greater among women who live
in an urban area than among rural women. The higher percentages of women who
live in households that have a radio or a television and the greater availability
of newspapers and magazines in urban areas are reasons for the greater exposure
of urban women to family planning messages via these media. The higher contraceptive
use and lower fertility of urban women (Table 4) may explain some of the higher
contraceptive use and lower fertility of women who have been exposed to family
planning messages, and vice versa.
Exposure to family planning messages is considerably greater among residents
of the Greater Accra region, the region with the highest contraceptive use
and the lowest fertility, than in the other regions of Ghana. The particularly
low fertility of women who have been exposed to family planning messages by
newspapers or magazines would in part be attributable to their concentration
in the Greater Accra region. Women in Ashanti region also have relatively
high levels of exposure to family planning messages, with exposure via the
radio or television in Kumasi being much higher than in other parts of Ashanti.
Brong Ahafo is the region with the highest percentage of women who have seen
posters, leaflets or brochures promoting family planning. Women in the Northern,
Upper East, Upper West and Volta regions tend to have relatively low levels
of exposure to family planning messages. Low contraceptive use and high fertility
are found in the first three of these regions (Table 4). The regional pattern
of exposure to family planning messages via radio and television reflects
regional differences in the range of radio and television stations whose broadcasts
can be accessed, as well as regional differences in the prevalence of radios
and television sets. The low levels of exposure to family planning messages
in the north of the country may be partly due to some broadcasts being in
languages which are understood by only a minority of the population, for example
Hausa.
Of the main religious groups, women with a primary allegiance to Christianity
have the highest rates of exposure to family planning messages via each of
the four media types. Women with traditional beliefs, other non-Christian,
non-Islamic religions, or no religion have the lowest exposure to family planning
messages by radios, televisions and posters, brochures or leaflets. However,
Muslims have the least exposure to family planning by newspapers or magazines.
There are fairly large differences in exposure to family planning between
ethno-linguistic groups, with Akan and Ga-Adangbe women having relatively
high levels of exposure. The concentration of the latter in the Greater Accra
region would partly explain their relatively high exposure to family planning
messages. The ethno-linguistic groups that are concentrated in northern Ghana
have relatively low levels of exposure to family planning messages. Both for
religion and for ethnicity a pattern of groups with relatively high levels
of exposure to family planning messages also tending to have relatively high
contraceptive use and relatively low fertility is evident. However, although
differences in contraceptive use and fertility by a woman's age are considerable,
with women at the ends of the female reproductive age span tending to have
the lowest contraceptive use and the lowest fertility, differences in exposure
to family planning messages by age are fairly slight.
Table 5: Exposure to Family Planning Messages by Type of Media
and by Background Variables |
Characteristic |
Radio |
Television |
Newspaper
or Magazine |
Poster,
Brochure
or Leaflet |
Age |
|
|
|
|
15-19 |
40.8 |
29.0 |
11.6 |
26.2 |
20-24 |
48.6 |
33.3 |
10.2 |
35.3 |
25-29 |
54.6 |
34.2 |
10.5 |
32.5 |
30-34 |
50.5 |
33.7 |
14.2 |
33.4 |
35-39 |
49.4 |
30.3 |
9.9 |
30.5 |
40-44 |
49.8 |
32.3 |
13.2 |
31.0 |
45-49 |
44.8 |
26.5 |
13.0 |
27.8 |
Type
of Place of Residence |
|
|
|
|
Rural |
39.5 |
18.3 |
4.3 |
25.0 |
Urban |
66.1 |
57.3 |
20.9 |
43.8 |
Region |
|
|
|
|
Western |
46.1 |
25.8 |
6.8 |
23.5 |
Central |
47.9 |
31.1 |
6.5 |
33.1 |
Greater
Accra |
71.2 |
68.6 |
28.6 |
41.6 |
Volta |
33.0 |
10.3 |
6.6 |
15.5 |
Eastern |
52.4 |
37.8 |
10.6 |
35.5 |
Ashanti |
62.3 |
42.1 |
9.7 |
44.7 |
Brong
Ahafo |
50.2 |
30.8 |
3.2 |
59.7 |
Northern |
35.2 |
17.0 |
4.5 |
16.7 |
Upper
West |
25.4 |
9.1 |
2.6 |
27.1 |
Upper
East |
35.3 |
10.9 |
4.7 |
12.3 |
Education |
|
|
|
|
None |
31.6 |
12.1 |
6.4 |
16.7 |
Primary |
46.7 |
29.4 |
4.0 |
30.2 |
Secondary
or Higher |
61.3 |
46.0 |
18.6 |
42.4 |
Religion |
|
|
|
|
Christian |
53.7 |
36.5 |
12.3 |
36.5 |
Moslem |
47.2 |
29.2 |
5.8 |
24.4 |
Traditional,
Other or None |
21.9 |
6.0 |
7.1 |
10.6 |
Ethnicity |
|
|
|
|
All Akan |
56.6 |
39.5 |
11.3 |
39.5 |
Ga-Adangbe |
60.9 |
54.7 |
22.5 |
38.3 |
Ewe |
46.0 |
26.9 |
10.4 |
24.2 |
Guan |
32.4 |
23.9 |
8.5 |
39.4 |
Mole-Dagbani |
42.6 |
18.8 |
3.7 |
18.9 |
Other |
31.1 |
15.8 |
4.6 |
20.6 |
Source: 1998 Ghana Demographic and Health
Survey Data. |
Multivariate Analysis of Current Use of Contraception
The multilevel logistic regression analysis shows that exposure to family
planning messages raises contraceptive use significantly (Table 6). Of the
various types of message, exposure to family planning messages by the radio
has the greatest impact. Exposure to family planning messages by television
and by posters, brochures or leaflets both also substantially increase the
probability of a woman using contraception. However, after controlling for
other variables, exposure to family planning messages via newspapers has no
significant effect on women's propensity to use contraception. That women
who have seen posters, brochures or leaflets promoting family planning have
an increased rate of contraceptive use in part reflects the exposure to family
planning posters, brochures and leaflets of contraceptive users at sources
of contraceptive supply, referred to earlier.
There is clear evidence that larger numbers of surviving children increase
the likelihood of contraceptive use. The greater use of contraception among
women with more surviving children reflects use for birth spacing, as well
as, and possibly to a greater extent than, use for stopping. In fact, some
of them are opposed to the concept of stopping childbearing (Nazzar et al.
1995). After the effects of other variables have been controlled for, the
number of children a woman has had that are now dead has no effect on her
subsequent likelihood of using contraception. The effects of age have an "n"
shape, with the peak childbearing ages between 20 and 29 having the greatest
values, and the low fertility 15 to 19 and 40 to 49 age groups the least.
The lower percentage of 15 to 19 year olds who are sexually active and the
higher percentage of the 40 to 49 year olds who are infecund would explain
the reduced contraceptive use in these age ranges.
A woman's level of education has a substantial effect on her contraceptive
use, with women with secondary level education or higher education being much
more likely to use contraception than less educated women. Women with no formal
education are the least likely to use contraception. Some of the effects of
secondary level or higher education is due to sexually active women who are
still students using contraception to prevent their education being disrupted
by pregnancy or childbirth. However, even after education has been completed,
secondary or higher education continues to raise contraceptive use because
the more educated women (and their husbands) wish to restrict their number
of children to ensure all are educated and provided for adequately. They also
have fewer socio-cultural inhibitions relating to the use of modern contraception.
Living in an urban area raises the probability of contraceptive use significantly.
This would reflect urban women (and their husbands) having smaller family
size preferences, shorter periods of postpartum sexual abstinence, fewer socio-cultural
inhibitions about using contraception, and easier access to hospitals, clinics,
pharmacies, drug stores and other contraceptive supply outlets (Tawiah 1997).
The greater range of educational opportunities for their children is a factor
behind their smaller preferred family sizes. The effects of region of residence
also are statistically significant, with the large positive effect of residence
in the Volta region being their most prominent feature. The significant cluster
level variance parameter indicates there are considerable variations in contraceptive
use rates between places of residence that are not captured by the variables
included in the model.
Table 6: Multilevel Logistic Regression
of Whether a Woman is
Currently Using a Method of Contraception |
|
Coefficient |
Standard
Error |
Constant |
-3.53** |
0.24 |
Exposure
to Family Planning Messages by Media |
|
|
Radio |
0.48** |
0.11 |
Television |
0.22* |
0.11 |
Newspaper |
-0.04 |
0.14 |
Poster,
Leaflet or Brochure |
0.28** |
0.10 |
Age
|
|
|
15-19 |
0.00 |
|
20-24 |
0.84** |
0.16 |
25-29 |
0.81** |
0.17 |
30-34 |
0.74** |
0.19 |
35-39 |
0.51* |
0.20 |
40-44 |
0.21 |
0.23 |
45-49 |
-0.37 |
0.26 |
Number
of Surviving Children |
0.21** |
0.03 |
Number
of Dead Children |
0.02 |
0.06 |
Education
|
|
|
None |
0.00 |
|
Primary |
0.25 |
0.15 |
Secondary
or Higher |
0.66** |
0.13 |
Type of
Place of Residence |
|
|
Rural |
0.00 |
|
Urban
|
0.33** |
0.11 |
Region |
|
|
Greater
Accra |
0.00 |
|
Western |
-0.16 |
0.21 |
Central |
-0.30 |
0.21 |
Volta |
0.47* |
0.23 |
Eastern |
0.06 |
0.18 |
Ashanti |
-0.18 |
0.19 |
Brong
Ahafo |
0.13 |
0.23 |
Northern |
-0.50 |
0.28 |
Upper
West |
-0.09 |
0.29 |
Upper
East |
-0.42 |
0.28 |
Religion
|
|
|
Christian |
0.00 |
|
Muslim |
-0.04 |
0.17 |
Traditional,
Other or None |
-0.54** |
0.18 |
Ethnicity |
|
|
Akan |
0.00 |
|
Ga-Adangbe |
0.17 |
0.17 |
Ewe |
-0.16 |
0.17 |
Guan |
-0.11 |
0.38 |
Mole-
Dagbani |
0.30 |
0.26 |
Other |
0.04 |
0.20 |
Cluster
Level Variance |
0.15** |
0.05 |
Source: 1998 Ghana Demographic and Health
Survey Data
** p <" 0.01 * 0.01<
0.05 |
Primary adherence to Christianity or to Islam is associated with higher contraceptive
use than is found among women who adhere to some other religion, traditional
beliefs or to no religion. The lower contraceptive use of adherents to traditional
religious beliefs reflects the higher proportion of these women who are abstaining
from sexual intercourse postpartum or for other reasons, and to a wider prevalence
of socio-cultural inhibitions relating to contraceptive use (Caldwell and
Caldwell 1990). After controlling for other variables, differences in contraceptive
use between ethnic groups are slight and not statistically significant.
Multivariate Analysis of Current Fertility
The effects on fertility levels of exposure to family planning messages by
radio, television, newspapers and magazines, and posters, brochures and leaflets
are all small and not statistically significant, after the effects of other
variables have been controlled for (Table 7). At first blush this finding may
seem inconsistent with the substantial effects of exposure to family planning
messages via the radio, television, and posters, brochures and leaflets on contraceptive
use, described earlier. However, the findings are not necessarily anomalous
because contraceptive use measured at the time of the survey does not coincide
with the conception window for fertility in the year before the survey [4].
The GDHS data show that for most of those women who were using contraceptive
at the time of the survey the length of the spell of contraceptive use had been
short [5]. The correlation between use of contraception at the time of the survey
and use of contraception in the conception window would therefore be a relatively
weak one. In a culture that emphasises the importance of birth spacing, a significant
component of contraceptive use is for the purposes of achieving birth spacing
(Nazzar et al. 1995; Phillips et al 2000). With a substantial component of contraceptive
use replacing postpartum abstinence and some use coinciding with postpartum
amenorrhoea, the effect of contraceptive use on subsequent fertility is reduced
(Phillips et al 2000). That women who are not currently using contraception
have much lower levels of recent sexual activity than women who are currently
using contraception, a pattern that would reflect the effects of postpartum
sexual abstinence among the non-contraceptors, and also the greater prevalence
among non contracepting women of not being married, spousal separation, sexual
abstinence following stillbirth, miscarriage or abortion, sexual abstinence
related to fear of AIDS, the rotation of sexual activity among polygynously
married women, and the effects of infecundity, would also reduce the subsequent
differences in fertility. That for some women a recent birth, and the subsequent
need to ensure child spacing, may be seen as a cause of her use of contraception
[6] is further reason for the weakness of the correlation between childbearing
in the year before the survey and contraceptive use at the time of the survey.
An underreporting of contraceptive use for the reasons described by Bawah et
al (1999) may further weaken the correlation between recent fertility and reported
contraceptive use. The multicollinearity between the four different types of
exposure also helps to explain the lack of significance of the effects of type
of media individually.
Table 7: Multilevel Logistic Regression of Whether a
Woman Gave Birth in the Last Year |
|
Coefficient |
Standard Error |
Constant
|
-2.53** |
0.28 |
Exposure
to Family Planning Messages by Media |
|
|
Radio |
-0.08 |
0.11 |
Television
|
-0.03 |
0.13 |
Newspaper |
-0.23 |
0.20 |
Poster,
Leaflet or Brochure |
0.06 |
0.11 |
Age |
|
|
15-19 |
0.00 |
|
20-24 |
1.36** |
0.18 |
25-29 |
1.65** |
0.18 |
30-34 |
1.44** |
0.21 |
35-39 |
0.93** |
0.23 |
40-44 |
0.66* |
0.27 |
45-49 |
-1.66** |
0.48 |
Number
of Surviving Children |
-0.03 |
0.03 |
Number
of Dead Children |
0.15** |
0.06 |
Education |
|
|
None |
0.00 |
|
Primary |
-0.10 |
0.14 |
Secondary
or Higher |
-0.44** |
0.13 |
Type
of Place of Residence |
|
|
Rural |
0.00 |
|
Urban |
-0.60** |
0.13 |
Region |
|
|
Greater
Accra |
0.00 |
|
Western |
-0.08 |
0.24 |
Central |
0.09 |
0.24 |
Volta |
-0.11 |
0.26 |
Eastern |
0.02 |
0.22 |
Ashanti |
0.26 |
0.22 |
Brong
Ahafo |
0.26 |
0.26 |
Northern |
0.07 |
0.27 |
Upper
West |
0.06 |
0.28 |
Upper
East |
-0.35 |
0.28 |
Religion |
|
|
Christian |
0.00 |
|
Muslim |
-0.08 |
0.16 |
Traditional,
Other or None |
0.05 |
0.14 |
Ethnicity |
|
|
Akan |
0.00 |
|
Ga-Adangbe |
0.10 |
0.22 |
Ewe |
0.05 |
0.19 |
Guan |
0.34 |
0.37 |
Mole-
Dagbani |
0.16 |
0.24 |
Other |
0.27 |
0.19 |
Cluster Level
Variance |
0.06 |
0.05 |
Sources: 1998 Ghana Demographic and Health
Survey Data.
** p < 0.01 * 0.01 < p <
0.05 |
The effects of age are marked and follow an "n" shape, rising to a peak in
the 25 to 29 age range, and falling rapidly towards the ends of the female
reproductive age span. The lower percentage of teenage women who are sexually
active and the higher percentage of older women who are infecund, explain
this pattern. Fertility rates tend to rise with the number of child deaths
a woman has experienced. Health concerns may motivate some women who have
had large numbers of children die from producing additional children. For
some women a continuing pattern of short birth intervals may explain their
having both large numbers of infant and child deaths and high birth probabilities.
In addition, some of the effects of child mortality on fertility may be explained
by the curtailment of the most recent periods of postpartum amenorrhoea and
abstinence by the death of the most recent infant. Despite its importance
as an explanatory variable for current use of contraception, the number of
surviving children a woman has does not appear to affect her subsequent fertility.
The shorter periods of postpartum sexual abstinence practised in some ethnic
groups by women with more children may offset the effect of their higher rates
of contraceptive use (Awusabo-Asare and Anarfi 1997).
Women with secondary level or higher education have significantly lower fertility
than their less educated counterparts. The effect of having primary education,
as opposed to no education, on fertility is negative, but not statistically
significant. The substantial effect of female education, particularly to secondary
level or above, in raising contraceptive use can partly explain this pattern.
The effects of secondary and higher education in promoting smaller family
size preferences, delaying first marriage, and increasing use of abortion
are other explanatory factors (Lamptey et al. 1985).
Women who live in urban areas have much lower fertility than their rural
counterparts, even after controlling for the other variables. The importance
of urban residence as a factor raising contraceptive use, described earlier,
would explain some of its fertility-reducing effect. A greater use of induced
abortion in urban areas is probably another proximate determinant. The effects
of region of residence are small and not statistically significant. The small
and statistically insignificant cluster level variance parameter shows that
virtually all the between-cluster variation in fertility levels can be accounted
for by the explanatory variables used in the analysis.
The effects of differences in primary religious adherence are insignificant,
after the effects of other variables are controlled for, a finding perhaps
supporting the view of Adongo et al. (1998), that traditional religion is
more a reflection of socioeconomic determinants than a factor that affects
fertility independently. Similarly, the effect of ethnicity is small and not
statistically significant.
Conclusions and Discussion
This study demonstrates that in Ghana exposure to family planning messages
increases a woman's likelihood of using contraception. Whilst significant
positive effects on contraceptive use of exposure to family planning messages
by the radio, television, and posters, brochures or leaflets are evident,
the effect of exposure to messages via newspapers or magazines is small and
not significant. This could signal a need to review the effectiveness of newspaper
and magazine family planning promotion, or for a revision of the promotional
mix used for family planning. A revised promotional mix might devote fewer
resources to newspaper and magazine advertising and more to publicity via
radio, television and posters, brochures and leaflets.
Whilst exposure to family planning messages raises contraceptive use significantly,
it does little to explain differences in fertility levels between women. The
lack of an effect of exposure to family planning messages on fertility may
be explained by the prevalence of other fertility inhibiting practices among
women who have not been exposed to family planning messages, particularly
traditional birth spacing practices involving lengthy periods of breastfeeding,
postpartum amenorrhoea and postpartum sexual abstinence (Phillips et al. 2000).
Also relevant is that some exposure to family planning messages, especially
exposure to posters, brochures and leaflets, occurs because of pregnancy and
childbearing, for example due to exposure during antenatal and postnatal classes.
Thus the multilevel logistic analysis captures the effect of exposure to family
planning messages on fertility net of an effect of fertility on exposure to
family planning messages. The study also finds substantial effects of a woman's
age, education and urban or rural residence on her contraceptive use and her
fertility. In addition, a Ghanaian woman's religion and number of surviving
children are found to be important predictors of her likelihood of using contraception,
and her children's mortality is an important predictor of her fertility.
The 1998 GDHS data show that the durations of contraceptive use among women
who are currently using contraception tend to be short. The effects of family
planning promotion on contraceptive use would be affected by much of the use
of contraception in Ghana being to provide a brief respite from pregnancy
and childbearing, a pattern reflecting the importance placed on birth spacing.
The collection of contraceptive history data and of analyses of patterns of
discontinuation of contraceptive use would greatly enhance our understanding
of the patterns of current use of contraception. Data on duration of contraceptive
use in Ghana and other West African countries and analyses of changes in the
patterns may also greatly enhance our understanding of the emerging West African
fertility transition. Another change to data collection that would sharpen
our understanding of the effects of family planning promotion on contraceptive
use and fertility would be to distinguish clearly between condom promotion
designed primarily to prevent the spread of HIV/AIDS and other forms of family
planning promotion. Other data that may help to enhance our understanding
of the causes of Ghana's fertility transition would be on the economic adversity
felt by many Ghanaians. A reason frequently given by Ghanaians for either
not wanting more children or for aspiring to a small family size is the difficulty
they may have in providing adequately for more children (Adongo et al. 1998).
Underlying this sentiment are the combined pressures on finances posed by
economic adversity, rising aspirations to provide for children, especially
to educate them, and increased rates of child survival [7].
Notes
Postpartum insusceptibility is the period of protection from pregnancy following
a birth due to the combined effects of postpartum amenorrhoea and postpartum
sexual abstinence.
2. The number of women who are "currently married" includes unmarried women
who are cohabiting with their partners.
Analyses of Kenyan and Nigerian DHS data have found significant effects of
exposure to family planning messages on contraceptive use and fertility preferences,
even after controlling for a range of socio-economic variables (Westoff and
Rodriguez 1995; Bankole et al. 1996).
The conception window for childbearing in this period is roughly 9 to 21 months
before the survey.
5. For 47.4% of the women who were using contraception at the time of the
survey the duration of the current period of contraceptive use was 0 to 9 months
and for 63.3% the duration was less than 21 months.
As noted earlier, recent fertility is also a cause of exposure to family
planning messages during antenatal and postnatal classes.
Scholars who have speculated that economic hardship may contribute to the
explanation of fertility decline in other African countries include Mbamaonyeukwu
(2000) for Nigeria and Hinde and Mturi (2000) for Tanzania.
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