The study sample included 252 couples, married or living in union. As shown in Table 1, women were on average younger and slightly less educated than men. About half of the men and only 2.9% of the women were active military members. Most individuals had completed at least secondary education (83.2% of women and 90.3 % of men) and educational achievements were similar within 57.0% of couples, whereas a quarter of men (25.9%) were more educated and 17.1% of women were more educated than their partner (See Table 1 below). Observed discrepancies in marital status, with men disproportionately reporting being married and with a slightly higher number of living children most likely come from the fact that their live-in partner in the camp is not always their official or primary spouse. Regardless, all family planning questions were asked in relation to said live-in partner, who was also the person interviewed as the other half of the couple.
Table 1
Demographic characteristics of the couples in the study (N = 252)
|
Women (%)
|
Men (%)
|
Age
|
< 20
|
8.6
|
1.2
|
20–24
|
15.6
|
4.9
|
25–29
|
18.2
|
7.9
|
30–34
|
20.9
|
15.3
|
35–39
|
16.0
|
15.2
|
>=40
|
20.7
|
55.5
|
Education
|
|
Never/primary
|
16.8
|
9.7
|
secondary
|
64.6
|
68.8
|
higher
|
18.6
|
21.5
|
Education difference
|
|
|
Same
|
57.0
|
n/a
|
Man has more education
|
25.9
|
n/a
|
Woman has more education
|
17.1
|
n/a
|
Active military service
|
2.9
|
56.2
|
Married
|
45.8
|
73.2
|
In union
|
54.0
|
26.8
|
Mean number of living children
|
2.5
|
2.9
|
In Table 2, we compare male partner’s approval of contraceptive use with women’s perception of their partner’s approval. When asked separately, 59.8% of men stated they disapproved of their female partners using contraception, but a larger proportion of women (73.4%) perceived disapproval. When women were mistaken in their perception of their partner’s approval, it was more likely that thy perceived that he disapproved when he in fact approved, instead of vice-versa: a quarter (24.9%) of women erroneously thought their partner disapproved of contraceptive use (false negative). On the other hand, 11.3% of women stated their partner approved of contraceptive use, when he in fact did not (false positive). Overall, the woman’s perception of their partner (dis)approval was correct 63.8% of the time. (See Table 2 below)
Table 2
Percentage of women who correctly or incorrectly perceive approval and disapproval
|
Male partner’s approval
|
Approves (N)
|
Disapproves (N)
|
Total (N)
|
Female partner’s perception
|
Perceives approval
|
15.3% (47)
S1
|
11.3% (32)
S4
|
26.6% (79)
|
Perceives disapproval
|
24.9% (61)
S3
|
48.5% (112)
S2
|
73.4% (173)
|
Total
|
40.2% (108)
|
59.8% (144)
|
100.0% (252)
|
We then looked at the association between the scenarios in Table 1 (i.e., the combination of partner’s actual opinion and woman’s perception of her partner’s approval or disapproval) and modern contraceptive use by the couple (Table 3). As would be expected, modern contraceptive use is highest (41.3%) when the man approves of it and his female partner correctly perceives his approval and is lowest (19.4%) when the woman correctly perceives her partner’s disapproval (p-value approaches significance at 0.05).
Our results however indicate that modern contraceptive use is similarly high and low regardless of the man’s actual opinion, provided that the female partner perceives it as approval or disapproval, and the associations are much more significant. Modern contraceptive use is 41.3% (p-value < 0.05) for women who believe their partner approve of it, and 19.5% (p-value < 0.05) for those who believe their partner disapproves. In fact, 38.7% of women who incorrectly perceive their partner’s approval (false positive) use modern contraception (p < 0.1), only 2.6 percentage points less than women who correctly believe their partner’s support their use of a modern method. At the other end of the spectrum, women who incorrectly perceive their partner’s disapproval (false negative) are among the lowest users of modern contraception, although the relationship is not significant.
Table 3
Association between perception of partner's approval and modern contraceptive use
|
Freq.
|
Modern contraceptive use (%)
|
P-value*
|
Partner approves/ Wife perceive approval (S1)
|
47
|
41.3
|
0.0828
|
Wife perceives approval
(Regardless of partner’s true opinion)
|
79
|
40.2
|
0.0116
|
Partner disapproves/ Wife perceive approval (False positive S4)
|
32
|
38.7
|
0.0730
|
Male partner approves (regardless of wife’s perception)
|
108
|
27.9
|
0.5541
|
Male partner disapproves (regardless of wife’s perception)
|
144
|
23.1
|
0.5541
|
Partner agrees/ Wife perceive disapproval (False negative S3)
|
61
|
19.6
|
0.1672
|
Wife perceives disapproval
(Regardless of partner’s true opinion)
|
173
|
19.5
|
0.0116
|
Partner disagrees/ Wife perceive disagreement (S2)
|
112
|
19.4
|
0.1201
|
* Based on the chi-square test. |
To further test the association of approval/perception scenarios with modern contraceptive use after controlling for socio-demographic characteristics of men and women, we performed a multivariate logistic regression on modern contraceptive use. Results from this analysis confirm the much more significant role of the woman’s perception of her partner’s approval as a determinant of contraceptive use. When their partner disapproved of contraceptive use, women who incorrectly perceived approval had 2.52 times greater odds of using a modern method than women who correctly read their partner’s opinion, and the relationship was highly significant (p-value = 0.007). Conversely women who erroneously perceived their partner’s disapproval (false negative) appeared slightly less likely to use modern contraception, but the relationship was not significant (OR = 0.92, p-value = 0.805).
Among other individual characteristics of women and men, few were significantly associated with modern contraceptive use: odds ratio for contraceptive use declined with age and women over 40 were significantly less likely to use a modern method (OR = 0.21, p-value < 0.05). Women whose partner was in active military were also significantly less likely to use a modern method (OR = 0.44, p-value < 0.1). On the other hand, women who had four or more living children were three times more likely to use a modern method (OR = 3.01, p-value < 0.05). Differences in educational status, fertility desire variables such as either partner wanting more children and ideal family size or having discussed the desired number of children were not significantly associated with modern contraceptive use.
Table 4
Association of individual and couple variables with modern contraceptive use
Modern contraceptive use (0,1)
|
Odds Ratio
|
SE
|
P-value
|
Actual and perceived approval of contraceptive use
|
Husband disagrees/ Wife perceive disagreement (S2)
|
Ref.
|
|
|
Husband approves/ Wife perceive approval (S1)
|
1.93
|
1.04
|
0.256
|
Husband disapproves/ Wife perceive approval (S4)
|
2.52***
|
0.67
|
0.007
|
Husband agrees/ Wife perceive disagreement (S3)
|
0.92
|
0.31
|
0.805
|
Woman's age
|
|
|
|
< 20
|
Ref.
|
|
|
20–24
|
1.59
|
0.66
|
0.295
|
25–29
|
1.58
|
0.48
|
0.165
|
30–34
|
0.76
|
0.44
|
0.644
|
35–39
|
0.53
|
0.24
|
0.193
|
>=40
|
0.21**
|
0.12
|
0.027
|
Educational difference
|
|
Same education
|
Ref.
|
|
|
Man has more education
|
1.16
|
0.49
|
0.728
|
Woman has more education
|
0.89
|
0.29
|
0.722
|
Number of living children
|
|
0–1
|
Ref.
|
|
|
2–4
|
1.10
|
0.71
|
0.887
|
> 4
|
3.11**
|
1.52
|
0.045
|
Man is in active military service
|
|
|
No
|
Ref.
|
|
|
yes
|
0.44*
|
0.19
|
0.092
|
Man wants more children
|
|
|
|
No
|
|
|
|
yes
|
0.79
|
0.46
|
0.699
|
Woman wants more children
|
|
|
|
No
|
|
|
|
yes
|
1.14
|
0.48
|
0.773
|
Man discussed ideal number of children with his partner
|
No
|
Ref.
|
|
|
yes
|
1.28
|
0.27
|
0.273
|
Woman discussed ideal number of children with her partner
|
No
|
Ref.
|
|
|
yes
|
0.75
|
0.33
|
0.536
|
Man's ideal size of family
|
1.05
|
0.06
|
0.389
|
Since perception of their partner’s approval is so significantly associated with contraceptive use by the women, it seems important to determine whether specific individual and couple profiles were associated with (in)correct perceptions, as well as false positive and false negative perceptions. To achieve that goal, we introduced three logistic regression models (see Table 5) testing the associations between women and couples’ characteristics and three specific scenarios. We chose the scenarios based on the strong association found in the previously shown model (Table 4): (1) woman incorrectly perceives her partner’s opinion (36.2% of our sample), (2) woman perceives approval regardless of her partner’s opinion (26.6% of our sample), and (3) woman incorrectly perceives disapproval on her partner’s part (false negative = 24.9% of our sample). Because only a small number of women fell into the false positive category, we did not perform a multivariate regression analysis for this outcome.
The results of this regression indicate that among all characteristics included in the model, number of living children was strongly associated with perception of approval for contraceptive use: women with 2 to 4 children and women with more than 4 children were twice to five times more likely to declare that their partner approved of their contraceptive use (OR = 2.81 and 6.62 respectively, p-value < 0.05). The same was true of women who stated that they wanted more children (OR = 2.13, p-value < 0.05)
On the other hand, educational differences were negatively associated with perceiving one’s partner’s approval: women who were more educated than their husband significantly less likely to perceive approval (OR = 0.35, p-value < 0.05). This last variable was also significantly associated with incorrect perception of their partner approval (OR = 1.9 p-value < 0.05) and even more so with incorrect perception of his disapproval: women who were more educated than their partner were almost three times more likely to fall in a “false negative” scenario (OR = 2.84, p-value < 0.01)
Having discussed the number of desired children made women less likely to hold an incorrect perception of their partner’s approval (OR = 0.69, p-value < 0.1), and the likelihood of a “false negative” decreased significantly when the man had discussed his desired number of children (OR = 0.27, p-value < 0.01)
Table 5
Multivariate logistic regression analysis of correct and incorrect perceptions of partner's approval of contraceptive use
|
Incorrect perception
|
Perceives approval
|
Incorrect perception of disapproval
(false negative)
|
Woman's age
|
< 20
|
Ref.
|
|
|
20–24
|
2.03
|
0.69
|
3.57
|
25–29
|
0.52
|
0.27
|
1.40
|
30–34
|
1.39
|
0.15*
|
5.72
|
35–39
|
0.79
|
0.13
|
2.20
|
>=40
|
0.72
|
0.08
|
2.01
|
Education difference
|
Same education
|
Ref.
|
|
|
Man has more education
|
1.64
|
1.73*
|
1.14
|
Woman has more education
|
1.91**
|
0.35**
|
2.84***
|
Number of living children
|
0–1
|
Ref.
|
|
|
2–4
|
1.90
|
2.81**
|
1.46
|
> 4
|
1.25
|
6.62**
|
1.03
|
Man is active military service
|
|
|
No
|
Ref.
|
|
|
yes
|
1.51
|
0.58
|
1.65
|
Man wants more children
|
|
|
|
No
|
Ref.
|
|
|
yes
|
0.84
|
0.45
|
1.50
|
Woman wants more children
|
|
|
|
No
|
Ref.
|
|
|
yes
|
1.15
|
2.13**
|
0.95
|
Man discussed ideal number of children with his partner
|
No
|
Ref.
|
|
|
yes
|
0.56
|
4.67*
|
0.27***
|
Woman discussed ideal number of children with his partner
|
No
|
Ref.
|
|
|
yes
|
0.67
|
0.73
|
0.74
|
Man's ideal size of family
|
0.93
|
0.99
|
0.92
|
* Significant at P < 0.1 ** Significant at p < 0.05 *** Significant at p < 0.01 |
Difference between man and woman ideal family size, ever or current use of modern contraception were initially added to the model but did not yield any meaningful results.
Since differences in educational attainment and having discussed desired number of children were strongly associated with (in-)correct perception of partner’s approval of contraceptive use, we ran a separate analysis to assess whether educational level was associated with increased communication about fertility desires. (Table 6 below) While higher level of individual education for either partner was associated with the likelihood of having discussed the desired number of children (p-value < 0.1), educational difference did not have a significant bearing on this outcome. Thus, women who were more educated than their partner were not more or less likely to be more informed about his actual fertility desires.
Table 6
Association between individual education level and educational difference and likelihood of having discussed desired number of children
|
Male discussed ideal number of children (%)
|
Male education
|
|
P = 0.0883*
|
Never/Primary
|
32.56
|
|
Secondar
|
56.63
|
|
Tertiary
|
74.94
|
|
|
Female discussed ideal number of children (%)
|
Female education
|
|
P = 0.0815*
|
Never/Primary
|
57.26
|
|
Secondar
|
61.66
|
|
Tertiary
|
74.25
|
|
|
Male discussed ideal number of children
|
Education difference
|
|
P = 0.4641*
|
Same
|
62.88
|
|
Man is more educated
|
58.9
|
|
Woman is more educated
|
41.8
|
|
|
Female ideal number of children
|
Education difference
|
|
P = 0.1990*
|
Same
|
64.36
|
|
Man is more educated
|
57.35
|
|
Woman is more educated
|
68.57
|
|
* Based on the chi-square test |