Prevalence and factors associated with covert contraceptive use in Kenya: a cross-sectional study

Abstract

Background

Family planning (FP) is a key intervention for preventing unplanned pregnancies, unsafe abortions, and maternal death. Involvement of both women and their partners promotes contraceptive acceptance, uptake and continuation, couple communication and gender-equitable attitude. Partner involvement is a key strategy for addressing about 17.5% of the unmet needs in FP in Kenya. This study assessed the prevalence and factors associated with covert contraceptive use (CCU) in Kenya.

Methods

We used data from the sixth and seventh rounds of the performance monitoring for accountability surveys. We defined CCU as “the use of contraceptives without a partner’s knowledge”. We used frequencies and percentages to describe the sample characteristics and the prevalence of CCU and assessed the associated factors using bivariate and multivariable logistic regressions.

Results

The prevalence of CCU was 12.2% (95% CI: 10.4–14.2%); highest among uneducated (22.3%) poorest (18.2%) and 35–49 years-old (12.8%) women. Injectables (53.3%) and implants (34.6%) were the commonest methods among women who practice CCU. In the bivariate analysis, Siaya county, rural residence, education, wealth, and age at sexual debut were associated with CCU. On adjusting for covariates, the odds of CCU were increased among uneducated women (aOR 3.79, 95% CI 1.73–8.31), women with primary education (aOR 1.86, 95% CI 1.06–3.29) and those from the poorest (aOR 2.67, 95% CI 1.61–4.45), poorer (aOR 1.79, 95% CI 1.05–3.04), and middle (aOR 2.40, 95% CI 1.52–3.78) household wealth quintiles and were reduced among those with 2–3 (aOR 0.49, 95% CI 0.33–0.72) and ≥ 4 children (aOR 0.62, 95% CI 0.40–0.96). Age at sexual debut (aOR 0.94, 95% CI 0.89–0.99) reduced the odds of CCU.

Conclusion

About one in 10 married women in Kenya use contraceptives covertly, with injectables and implants being the preferred methods. Our study highlights a gap in partner involvement in FP and calls for efforts to strengthen their involvement to increase contraceptive use in Kenya while acknowledging women’s right to make independent choices.

Introduction

Kenya has a high fertility rate of 3.9 births per woman [1], a teenage pregnancy rate of 18% [1] and over 120,000 unsafe abortions annually [2]. Family planning (FP) is a key intervention for preventing unplanned pregnancies, unsafe abortions, and maternal death [3]. Kenya, in line with sustainable development goal 3, is implementing FP programmes aimed at universal access to sexual and reproductive health services by 2030.

Most FP interventions have been targeted towards women, who are the primary users of contraceptives. The lack of involvement of male partners results in opposition to self or partner’s FP use [4–6] due to their low level or lack of knowledge on FP. In Kenya, fear of side effects and infidelity among women using contraceptives [6, 7], misconceptions and socio-cultural concerns on FP [7] are some of the reasons for male opposition to FP use. Studies show that women often opt to use contraceptives covertly due to non-supportive spouses and relatives [4–6, 8]. However, involving both women and their partners is a strategy that promotes contraceptive acceptance, uptake and continuation [4, 9], couple communication and gender-equitable attitude [10]. Better knowledge on FP by male partners promotes cooperation; especially on the methods requiring male involvement like condoms.

Moreover, women have resorted to covert contraceptive use (CCU) due to fear of reprisal from the partner [11], religious beliefs [12] and withdrawal of support [13]; reasons that may reduce the uptake of FP for some women. Covert contraceptive use may expose women to gender-based violence if discovered [4, 5, 14] and could result in contraceptive discontinuation or change to a less preferred method [15] hence eroding the gains in increasing the contraceptive prevalence rate (CPR). A study in Senegal found that CCU is a barrier to contraceptive continuity with women deprived of appointment reminders [16] making it difficult for women to follow their contraceptive use hence increasing the risk of discontinuation. Similarly, with a rate of discontinuation at 31% [17], Kenya needs to address factors associated with and the role of CCU in discontinuation.

CCU is common in male-dominated settings where women lack the autonomy to make choices on their health [18]. Studies have shown a positive association between women empowerment and autonomy and their use of contraceptives [19–21]. Women should be free to decide and choose their preferred FP method even in settings with better male involvement and spousal communication on FP [22, 23]. However, covert use of contraceptives could highlight the discordance between women’s ability to decide on their sexual reproductive health and societal infringement of their right to choose. Previous studies in sub-Saharan Africa have shown that covert contraceptive use is associated with low levels of education [24, 25], urban residence [24, 26], richest wealth quintile [4, 24, 27] and polygamous marriage [24].

Covert contraceptive use is widespread in sub-Saharan Africa, with a prevalence of 2.6–53% [24–26, 28, 29]. In Kenya, previous studies based on the 2008/09 [24] and 2014 [1] demographic health survey (DHS), and in Nyanza region [30] found that 8.7, 7.8 and 9% of married women used contraceptives without their partners’ knowledge, but did not explore the associated factors. However, these studies reported lack of partners involvement [31], male partners resistance to contraceptive use [32], differences in fertility intentions [32] and unsupportive spouses [8] to be the reason for the CCU.

While covert use of contraceptives may contribute to the overall increase in modern contraceptive prevalence rate in Kenya, which currently stands at 58.1% [33], it could also indicate the barriers Kenyan women encounter in deciding and using FP methods and may be contributing to the 18.6% unmet need for FP [33]. With the paucity of information on CCU in Kenya, it is important to provide up to date evidence on the extent of CCU and associated factors to help in understanding contraceptive use in Kenya and contribute to informing FP interventions and policies towards Kenya’s FP goal of modern CPR of 66% by 2030 [34]. Furthermore, these findings could contribute to addressing CCU by promoting partner involvement hence reducing the risk of gender-based violence resulting from non-disclosure of contraceptive use, allaying fears of side effects, infidelity, misconceptions, and socio-cultural concerns on FP and overall increasing partners’ knowledge on FP and contraceptive use.

Methods

Data source and study population

We utilised data from sixth [35] and seventh [36] rounds of Kenya’s performance monitoring for accountability (PMA) surveys. The surveys used a multi-stage stratified cluster design that involved urban-rural and 11 counties (Nairobi, Bungoma, Kericho, Kiambu, Kilifi, Kitui, Nandi, Nyamira, Siaya, Kakamega and West Pokot) as strata, 151 enumeration areas (EA) sampled from the KNBS master sampling frame, 42 randomly selected households in each EA. All consenting females 15–49 years in the selected household were interviewed. Round 6 included 6106 households and 5876 females (99% response rate) while round 7 had 6097 households and 5671 females (99.1% response rate). Data were collected by trained interviewers using standardised questionnaires in November and December of 2017 and 2018 [35, 36].

Measures

CCU, the outcome variable, was defined as “the use of contraceptives without a male partner’s knowledge” [37]. It was measured based on the question: “Does your partner/husband know that you are using family planning?” among women currently using FP and in-a-union, for which they responded either ‘yes’ or ‘no’.

The independent variables were selected based on a review of the literature on FP and the availability of the variables in the dataset. They included the county of residence, locality of residence, age in years, education levels, wealth quintiles, parity, desire for more children and age at sexual debut in years. The county of residence included the 11 counties sampled in the survey (Nairobi, Bungoma, Kericho, Kiambu, Kilifi, Kitui, Nandi, Nyamira, Siaya, Kakamega and West Pokot) while the locality of residence was either rural or urban, based on the classification by the KNBS master sampling framework [35, 36]. Respondents were asked how old they were on their last birthday and responses were categorized into 15–19, 20–34 and 35–49 years [27] and their highest level of education (no formal, primary, secondary and tertiary) [25, 27, 38]. Five wealth quintiles (poorest, poorer, middle, richer, richest) were computed based on wealth index generated using principal component analysis of the household assets, walls, flooring and roofing materials and type of water access and sanitation facilities [39]. Parity was assessed based on the question “How many times have you given birth?” and the response recoded as 0, 1, 2–3 and 4+ [25]. Women’s age at sexual debut was assessed based on the question “How old were you when you first had sexual intercourse?” and the response recorded in years [40]. Women were also asked whether they wanted more children, to which they responded with either ‘yes’, ‘no’ or ‘infertile’ [29].

Statistical analysis

We described the sample characteristics and the prevalence of CCU using frequencies and percentages. Factors associated with CCU were assessed using bivariate and multivariable logistic regressions. All variables in the bivariate analysis were included in the multivariable analysis. Stata 13.0 was used for analyses [41], which were adjusted for the sampling design and stratification using survey weight provided in the datasets. Statistical significance was set at p-value = 0.05.

Results

Sample characteristics

Of the 11,753 sampled women, 3943 were in a union and currently using contraceptives. We included 3892 women after excluding 49 women (1.3%) who did not respond to the question on their partner’s knowledge of their contraceptive use (Fig. 1). Most participants were 20–34 years (62.9%), lived in rural areas (65.3%) mainly Bungoma (11.6%) and Kitui (11.4%) counties, and had primary level of education (51.2%) and two or more children (82.3%). The mean age at first sexual encounter was 17.3 years (standard deviation: 3.0) (Table 1). Injectables (43.7%) and implants (35%) were the commonest method of contraceptives used.

Fig. 1.

Flowchart of the study sample

Table 1.

Sample characteristics, and prevalence and factors associated with covert contraceptive use in Kenya (N = 3892)

Characteristics	Sample	Prevalence of covert contraceptive use		Bivariate logistic regression analysis		Multivariable logistic regression analysis
	n (%)	n	% [95% CI]	COR [95% CI]	p-value	AOR [95% CI]	p-value
County
Nairobi	394 (10.1)	36	9.9 [7.5–14.1]	1 (Ref)		1 (Ref)
Bungoma	452 (11.6)	56	12.8 [9.0–17.9]	1.27 [0.75–2.17]	0.376	0.44 [0.21–0.93]	0.031
Kericho	406 (10.4)	76	16.7 [9.6–27.7]	1.75 [0.84–3.64]	0.135	0.68 [0.27–1.70]	0.404
Kiambu	313 (8.0)	29	9.5 [5.6–15.4]	0.90 [0.46–1.74]	0.749	0.96 [0.47–1.94]	0.900
Kilifi	268 (6.9)	27	10.1 [6.3–15.8]	0.97 [0.52–1.82]	0.931	0.31 [0.13–0.69]	0.005
Kitui	441 (11.3)	48	11.2 [71–18.4]	1.14 [0.59–2.17]	0.698	0.41 [0.20–0.90]	0.025
Nandi	386 (9.9)	28	7.2 [4.3–11.1]	0.65 [0.35–1.21]	0.177	0.23 [0.10–0.53]	0.001
Nyamira	410 (10.5)	44	9.2 [6.9–15.0]	0.99 [0.57–1.74]	0.979	0.37 [0.17–0.81]	0.013
Siaya	288 (7.4)	62	22.9 [16.7–28.1]	2.43 [1.49–3.95]	< 0.001	0.72 [0.36–1.46]	0.363
Kakamega	415 (10.7)	45	13.1 [7.8–19.6]	1.25 [0.66–2.36]	0.496	0.42 [0.20–0.88]	0.021
West Pokot	119 (3.1)	14	9.7 [4.2–18.6]	0.87 [0.35–2.12]	0.752	0.30 [0.11–0.84]	0.022
Residence
Urban	1348 (34.6)	110	8.5 [6.7–10.8]	1 (Ref)		1 (Ref)
Rural	2544 (65.4)	355	13.7 [11.4–16.3]	1.70 [1.22–2.36]	0.002	1.60 [0.99–2.58]	0.055
Age, years
15–19	60 (1.5)	4	10.4 [3.0–30.2]	0.79 [0.22–2.91]	0.691	0.46 [0.10–2.18]	0.329
20–34	2446 (62.9)	282	11.9 [9.9–14.1]	0.92 [0.73–1.16]	0.528	0.92 [0.66–1.30]	0.647
35–49	1386 (35.6)	179	12.8 [10.7–15.2]	1 (Ref)		1 (Ref)
Education
No formal	90 (2.3)	20	22.8 [14.9–33.3]	5.46 [2.67–11.2]	< 0.001	3.79 [1.73–8.31]	0.001
Primary	1997 (51.3)	302	15.0 [12.3–18.3]	3.28 [1.97–5.46]	< 0.001	1.86 [1.06–3.29]	0.032
Secondary	1234 (31.7)	116	9.8 [7.8–12.2]	2.01 [1.31–3.09]	0.002	1.50 [0.93–2.40]	0.093
Tertiary	571 (14.7)	27	5.1 [3.4–7.7]	1 (Ref)		1 (Ref)
Wealth index
Poorest	813 (20.9)	105	18.1 [14.5–22.2]	3.18 [2.16–4.68]	< 0.001	2.67 [1.61–4.45]	< 0.001
Poorer	809 (20.8)	119	13.3 [10.7–16.4]	2.21 [1.47–3.34]	< 0.001	1.79 [1.05–3.04]	0.032
Middle	820 (21.1)	120	15.1 [11.7–19.3]	2.57 [1.71–3.86]	< 0.001	2.40 [1.52–3.78]	< 0.001
Richer	869 (22.3)	72	8.5 [6.5–11.2]	1.35 [0.89–2.05]	0.162	1.19 [0.75–1.89]	0.453
Richest	579 (14.9)	48	6.5 [4.7–8.8]	1 (Ref)		1 (Ref)
Parity
0–1	640 (17.6)	79	13.1 [10.3–16.4]	1 (Ref)		1 (Ref)
2–3	1798 (46.2)	162	9.0 [7.1–11.3]	0.66 [0.47–0.91]	0.013	0.49 [0.33–0.72]	< 0.001
4+	1409 (36.2)	224	15.6 [13.0–18.6]	1.23 [0.91–1.65]	0.167	0.62 [0.40–0.96]	0.033
Desire for more children
No	1815 (50.0)	240	13.3 [11.0–16.1]	1 (Ref)		1 (Ref)
Yes	1755 (48.3)	189	11.2 [9.2–13.6]	0.82 [0.64–1.05]	0.112	0.88 [0.63–1.22]	0.434
Infertile	62 (1.7)	8	11.3 [5.9–20.7]	0.83 [0.39–1.78]	0.632	0.71 [0.31–1.63]	0.420
Age at sexual debut (mean, SD)	17.3 (3.0)		16.6 (2.9)	0.90 [0.86–0.95]	< 0.001	0.94 [0.89–0.99]	0.029

COR Crude odds ratio, AOR Adjusted odds ratio, SD Standard deviation, Ref Reference category: Bold: Significant at p = 0.05

Prevalence of covert contraceptive use

The weighted prevalence of CCU was 12.2% (465/3892, 95% CI: 10.4–14.2%). It was highest among uneducated (22.8%), poorest (18.1%) and older (35–49 years, 12.8%) women; and among those living in rural areas (13.7%) and neither had children (20.8%) nor wanted for more children (13.3%). Among the counties, Siaya (21.9%), Kericho (16.8%) and Kakamega (12.6%) counties had the highest CCU prevalence (Table 1). Injectables (53.3%) and implants (34.6%) were the commonest methods of contraceptives used among covert contraceptive users (Fig. 2).

Fig. 2.

Method of contraceptive used by women with or without partners’ knowledge

Factors associated with covert contraceptive use

Siaya county, rural residence, education, wealth, and age at sexual debut were associated with CCU in the bivariate analysis. In the multivariable logistic regression, counties, rural residence, education, wealth, parity, and age at sexual debut were associated with CCU (Table 1). Uneducated women and those with primary education had 3.8- and 1.9-fold higher odds of CCU respectively, compared to those with tertiary education. Women from the poorest, poorer, and middle household wealth quintiles had 2.7-, 1.8- and 2.4-times higher odds of CCU compared to those from the richest quintile. Compared to women in Nairobi County, those in Kitui, Bungoma, Nyamira, West Pokot, Kilifi and Nandi counties had between 58 and 77% lower odds of CCU. Women with two or more children and those with four or more children had 51 and 38% lower odds of CCU compared to those with no children. The odds of CCU were lower by a factor of 0.94 for every year increase in age at sexual debut (Table 1).

Discussion

The present study found a 12.2% prevalence of CCU among married women in Kenya. The prevalence was high among older, uneducated, poorest, and rural women, and among women who neither had children nor wanted for more children. The commonest methods of contraceptives used covertly were injectables and implants. Education levels, wealth, county of residence, rural residence, parity, and age at sexual debut were associated with CCU.

The prevalence of CCU in SSA ranges from 2.6 to 20.2% [24]. In our study, about one in ten women used contraceptives covertly, which signified an increase in the prevalence of CCU from 8.7%% [24] and 7.8% [1] reported in DHS of 2008/09 and 2014 respectively. The CCU prevalence is also higher than the 9% reported in a previous study in the Nyanza region of Kenya [30]. The high and increased prevalence of CCU observed in this study depicts a gap in partner involvement in contraceptive use and difficulty in communication on contraception [31, 32, 37], which are some of the main drivers of CCU in Kenya [37]. Moreover, our prevalence was higher than in Ethiopia (8.7%) [28] but lower than in Uganda (22.1%) [25]. The practice of CCU could be due to societal perception of women using contraceptive as being promiscuous [9, 12, 29, 32], patriarchy [5, 32], fear of intimate partner violence [11, 42, 43], disagreement on the number of children [32], religious beliefs [12] and limited male involvement [9, 44]. CCU could reflect women empowerment and autonomy in decision making [43] but also indicate male dominance in decision making and create a barrier to increasing contraceptive coverage [5]. The increased prevalence of CCU highlights the need for targeted interventions to improve spousal involvement in their partners’ reproductive health choices especially among the uneducated, poorest, and rural women, which will ultimately increase FP uptake and address the unmet need for FP.

Similar to previous studies in Ethiopia [28], Ghana [29], Kenya [1, 24] and Nigeria [4], injectables and implants were the commonest methods of contraceptives used overtly and covertly by married women. Injectables and implants are easy-to-use and effective [43] modern reversible contraceptives lasting 3 months, and three or 5 years, respectively [3]. Injectables are widely available and accessible in most health facilities and pharmacies, and are concealable [32] and do not require male cooperation hence promote CCU [43]. This finding highlights the need for continued support for partner involvement in FP use to promote open FP use and to ensure married women can use contraceptives that are suitable for them and not just the concealable ones. Also, a consistent availability of FP commodities in all healthcare facilities and training of health professionals to provide support to clients could help improve FP use in general.

Girls’ education delays early marriages, reduces the age at sexual debut and improves girls’ and women’s self-esteem [45], which is likely to improve communication with their partners. This could explain the observed lower odds of CCU with an increase in age at sexual debut. Women who delay their sexual debut could have a reduced need for contraceptives but also a high likelihood to use contraceptives with their partner’s knowledge. Married women with children are more likely to be involved in decision making about the desired number of children and birth spacing [25, 46] hence the lower odds of CCU among women with two or more children compared to those with none. This is consistent with a study in Ghana where women with no children were more likely to use contraceptives covertly compared to those with children [29].

We also found that women in rural areas were more likely to practice CCU compared to those in urban areas, though not statistically significant. Married urban women may be more involved in decision making on children and FP due to their high level of knowledge on contraceptive and gender-equitable attitude [23]. On the contrary, our study found that women from the rural counties of Kitui, Nyamira, West Pokot, Kilifi, Bungoma and Nandi were less likely to use contraceptives covertly compared to women in urban cosmopolitan Nairobi County. The reason for this is not clear but it may be due to perceived male dominance, reduced women autonomy cultural practices that may hinder FP uptake in general.

Our study is one of the first to explore the practice of CCU in Kenya. We used the most recent nationally representative cross-sectional data from 11 out of the 47 counties of Kenya, which makes our findings generalizable to the country. The major strength of this study is that it focuses on women-in-a-union and excludes women not-in-a-union who we could not ascertain whether they had partners. Our study findings are, therefore, important for informing immediate FP policies and interventions that focus on married couples. However, based on the cross-sectional nature of the data we could not infer causation. Also, some key determinants of CCU such as duration of the marriage, years of schooling, decision making and exposure to FP messages in the media were not collected. Regardless, our findings are comparable to those of similar settings and provide the most recent preliminary evidence on the extent and factors associated with CCU in Kenya.

Conclusion

Our study shows that about one in 10 married women in Kenya use contraceptive covertly, with injectables and implants being the preferred methods. County of residence, education levels and rural residence were positively associated with CCU while wealth parity and age at sexual debut were negatively associated with CCU. CCU could reflect both increased or decreased women autonomy and independence in decision making on their health. While it is important to promote open contraceptive use among married couples, women should be supported to use contraceptives in whichever way they prefer. Importantly, FP programmes should promote couple’s communication and foster male involvement in FP to improve overall contraceptive use. Further research is needed to explore the reasons for CCU in Kenya, the role of unmarried women in CCU studies and whether unmarried women have the moral obligation to communicate their use of FP to their sexual partners.

Abbreviations

aOR

Adjusted odds ratio

CCU

Covert contraceptive use

cOR

Crude odds ratio

FP

Family planning

PMA

Performance Monitoring for Accountability

mCPR

Modern contraceptive prevalence rate

SD

Standard deviation

SSA

Sub-Saharan Africa

Authors’ contributions

CA conceptualized and acquired data for the study. CA, JOO and SMG designed the study, analysed the data, discussed, and agreed on the results and wrote the first draft. All the authors critically reviewed, read, and approved the manuscript.

Funding

This work did not receive any funding.

Availability of data and materials

Data used in this study can be accessed from the Performance Monitoring for Accountability (PMA2020) website at https://www.pmadata.org/data/request-access-datasets

Declarations

Ethics approval and consent to participate

The study used secondary data from the Performance Monitoring for Accountability (PMA2020) surveys that were approved by the Kenyatta National Hospital-University of Nairobi Ethics Research Committee [47]. We obtained permission from PMA to access and use these datasets for this study.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interest.