Determinants and impact of joint decision-making on contraceptive use among women in union in Nairobi’s urban informal settlements: a repeated cross-sectional analysis and agent-based microsimulation using the Nairobi Urban Health and Demographic Surveillance System
5 affiliations
- 1African Population and Health Research Center, Nairobi, Kenya
- 2East, Central, and Southern African Health Community, Arusha, Tanzania
- 3University of South Africa, Pretoria, South Africa
- 4Department of Statistics and Actuarial Science, University of Ghana, Accra, Ghana
- 5Institute of Mathematical Sciences, Strathmore University, Nairobi, Kenya
Abstract
Objectives: To estimate the prevalence and determinants of joint decision-making on contraceptive use among women in union in Nairobi’s informal settlements, and to project the contribution of different decision-making patterns to the modern contraceptive prevalence rate (mCPR) over time.
Design: Analysis of repeated cross-sectional surveillance data combined with an agent-based microsimulation (Thanzi la Onse-Nairobi Urban Health and Demographic Surveillance System (NUHDSS). Determinants of joint decision-making were examined using multivariable logistic regression, and model performance was assessed using the likelihood ratio test, the Hosmer-Lemeshow goodness-of-fit test, McFadden pseudo R ² and the area under the receiver operating characteristic curve. The microsimulation projected mCPR from 2012 to 2040 under joint, woman-only and spouse-only decision-making scenarios.
Setting: Two urban informal settlements, Korogocho and Viwandani, in Nairobi, Kenya, covered by the NUHDSS, 2012–2015.
Participants: 2085 women of reproductive age (15–49 years) who were in union, defined as married or living with a male partner, with complete data on the decision-making outcome.
Primary and secondary outcome measures: The primary outcome was joint decision-making on contraceptive use (woman and partner deciding together vs the woman alone or the partner alone). The secondary outcome was the projected mCPR among women in union from 2012 to 2040 under joint, woman-only and spouse-only decision-making scenarios.
Results: Joint decision-making prevalence was 63.7% (95% CI 61.6 to 65.8). In the adjusted model, the odds of joint decision-making were higher in male-headed households (AOR 1.53, 95% CI 1.11 to 2.10, p=0.009), among residents of Viwandani (AOR 1.30, 95% CI 1.04 to 1.64, p=0.024), among women who desired more than five children (AOR 2.27, 95% CI 1.02 to 5.12, p=0.045) and among unemployed women (AOR 1.36, 95% CI 1.09 to 1.69, p=0.006), and lower among women who did not want another child (AOR 0.63, 95% CI 0.48 to 0.82, p<0.001), were undecided about childbearing (AOR 0.62, 95% CI 0.43 to 0.87, p=0.006) or had not discussed family size with their partner (AOR 0.39, 95% CI 0.31 to 0.51, p<0.001). In the microsimulation, the contribution of joint decision-making to mCPR among women in union rose from 40% in 2012 to 52% in 2040, exceeding the contributions of woman-only (13% to 18%) and spouse-only (about 1% to 0.5%) decision-making.
Conclusions: Joint decision-making was associated with higher modern contraceptive use among women in union in Nairobi’s informal settlements, and the microsimulation suggests it may contribute substantially to mCPR over time. Because the design is cross-sectional, these associations should not be interpreted as causal. Programmes that strengthen couple communication, particularly in male-headed households and among unemployed women or couples with undiscussed or discordant fertility preferences, may support progress toward national family planning targets.
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BibTeX
@article{chepkemoi2026determinants,
title = {{Determinants and impact of joint decision-making on contraceptive use among women in union in Nairobi’s urban informal settlements: a repeated cross-sectional analysis and agent-based microsimulation using the Nairobi Urban Health and Demographic Surveillance System}},
author = {Sharon Chepkemoi and Emmanuel Mnjowe and Reinpeter Momanyi and Tatenda Kavu and Steve Cygu and Samuel Iddi and Agnes Kiragga and Evans Omondi},
journal = {BMJ Open},
year = {2026},
month = oct,
doi = {10.1136/bmjopen-2025-110099},
url = {https://bmjopen.bmj.com/lookup/doi/10.1136/bmjopen-2025-110099},
note = {CC BY-NC 4.0},
}
RIS
TY - JOUR
TI - Determinants and impact of joint decision-making on contraceptive use among women in union in Nairobi’s urban informal settlements: a repeated cross-sectional analysis and agent-based microsimulation using the Nairobi Urban Health and Demographic Surveillance System
AU - Sharon Chepkemoi
AU - Emmanuel Mnjowe
AU - Reinpeter Momanyi
AU - Tatenda Kavu
AU - Steve Cygu
AU - Samuel Iddi
AU - Agnes Kiragga
AU - Evans Omondi
PY - 2026
DA - 2026/10/05
JO - BMJ Open
DO - 10.1136/bmjopen-2025-110099
UR - https://bmjopen.bmj.com/lookup/doi/10.1136/bmjopen-2025-110099
AB - Objectives: To estimate the prevalence and determinants of joint decision-making on contraceptive use among women in union in Nairobi’s informal settlements, and to project the contribution of different decision-making patterns to the modern contraceptive prevalence rate (mCPR) over time. Design: Analysis of repeated cross-sectional surveillance data combined with an agent-based microsimulation (Thanzi la Onse-Nairobi Urban Health and Demographic Surveillance System (NUHDSS). Determinants of joint decision-making were examined using multivariable logistic regression, and model performance was assessed using the likelihood ratio test, the Hosmer-Lemeshow goodness-of-fit test, McFadden pseudo R ² and the area under the receiver operating characteristic curve. The microsimulation projected mCPR from 2012 to 2040 under joint, woman-only and spouse-only decision-making scenarios. Setting: Two urban informal settlements, Korogocho and Viwandani, in Nairobi, Kenya, covered by the NUHDSS, 2012–2015. Participants: 2085 women of reproductive age (15–49 years) who were in union, defined as married or living with a male partner, with complete data on the decision-making outcome. Primary and secondary outcome measures: The primary outcome was joint decision-making on contraceptive use (woman and partner deciding together vs the woman alone or the partner alone). The secondary outcome was the projected mCPR among women in union from 2012 to 2040 under joint, woman-only and spouse-only decision-making scenarios. Results: Joint decision-making prevalence was 63.7% (95% CI 61.6 to 65.8). In the adjusted model, the odds of joint decision-making were higher in male-headed households (AOR 1.53, 95% CI 1.11 to 2.10, p=0.009), among residents of Viwandani (AOR 1.30, 95% CI 1.04 to 1.64, p=0.024), among women who desired more than five children (AOR 2.27, 95% CI 1.02 to 5.12, p=0.045) and among unemployed women (AOR 1.36, 95% CI 1.09 to 1.69, p=0.006), and lower among women who did not want another child (AOR 0.63, 95% CI 0.48 to 0.82, p<0.001), were undecided about childbearing (AOR 0.62, 95% CI 0.43 to 0.87, p=0.006) or had not discussed family size with their partner (AOR 0.39, 95% CI 0.31 to 0.51, p<0.001). In the microsimulation, the contribution of joint decision-making to mCPR among women in union rose from 40% in 2012 to 52% in 2040, exceeding the contributions of woman-only (13% to 18%) and spouse-only (about 1% to 0.5%) decision-making. Conclusions: Joint decision-making was associated with higher modern contraceptive use among women in union in Nairobi’s informal settlements, and the microsimulation suggests it may contribute substantially to mCPR over time. Because the design is cross-sectional, these associations should not be interpreted as causal. Programmes that strengthen couple communication, particularly in male-headed households and among unemployed women or couples with undiscussed or discordant fertility preferences, may support progress toward national family planning targets.
SN - 2044-6055
SN - 2044-6055
ER -