Background: Timely commencement of antenatal care (ANC) improves maternal outcomes by reducing complications that often result in death. According to the World Health Organization, 800 women died daily in 2020 from preventable complications related to pregnancy and childbirth, with almost 95% occurring in low and middle-income countries where Rwanda is located. Therefore, this study aimed to determine predictors of delayed first ANC visits in rural areas of Rwanda. Methods: This cross-sectional study utilized the Rwanda Demographic and Health Survey (RDHS) data, enrolling a weighted sample of 5,060 women who had been pregnant within the five years preceding the survey. Logistic regression modeling identified socio-demographic and maternal characteristics associated with delayed first ANC visits. Results: The prevalence of delayed first ANC visits was 40.2%. After adjustment of variables in a multivariate regression model, factors associated with the delays included low wealth index, marital status, maternal age (25-34 and 35-49), having 2-4 or more than 4 children, and occupation. Health insurance coverage was a protective factor against the delays of ANC. Conclusion: The findings highlight the need for interventions at multiple levels to increase timely uptake of the first antenatal care visit, as the study revealed socio-demographic and maternal factors that significantly influence delays in initiating antenatal care.
| Published in | American Journal of Health Research (Volume 14, Issue 1) |
| DOI | 10.11648/j.ajhr.20261401.14 |
| Page(s) | 21-32 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2026. Published by Science Publishing Group |
Antenatal Care, Rwanda Demographic and Health Survey (RDHS), Predictors
CHARACTERISTICS | Frequency | Weighted % |
|---|---|---|
Sex of Household Head | (N=5,060) | (100%) |
Male | 3,935 | 77.8 |
Female | 1,125 | 22.2 |
Wealth Index | ||
Poor | 2,470 | 48.8 |
Middle | 1,126 | 22.3 |
Rich | 1,464 | 28.9 |
Religion | ||
Catholic | 1,794 | 35.5 |
Protestant | 2,434 | 48.1 |
Adventist | 674 | 13.3 |
Muslim | 60 | 1.2 |
Others | 98 | 1.9 |
Province | ||
Kigali | 241 | 4.8 |
South | 1,173 | 23.2 |
West | 1,208 | 23.8 |
North | 899 | 17.8 |
East | 1,539 | 30.4 |
Women age category | ||
15-24 | 884 | 17.5 |
25-34 | 2,336 | 46.1 |
35-49 | 1,840 | 36.4 |
Marital status | ||
Never in Union | 487 | 9.6 |
Married/Living with a partner | 4,133 | 81.7 |
Widow/divorced/separated | 440 | 8.7 |
Women's education level | ||
No formal education | 615 | 12.1 |
Primary | 3,526 | 69.7 |
Secondary/higher education | 919 | 18.2 |
Women’s Occupation | ||
Unemployed | 751 | 14.8 |
Agricultural | 2,366 | 46.8 |
Profession/employed | 113 | 2.2 |
Manuel/work/services | 1,830 | 36.2 |
Distance to Health Facility | ||
Big problem | 1,347 | 26.6 |
Not a big problem | 3,713 | 73.4 |
Covered by Health Insurance | ||
No | 912 | 18.0 |
Yes | 4,148 | 82.0 |
Total Children Ever Born | ||
One child | 1,148 | 22.7 |
2-4 | 2,752 | 54.4 |
Over 4 | 1,160 | 22.9 |
Knowledge of the Ovulation Cycle | ||
None/Not enough | 2,159 | 42.7 |
Yes/Adequate | 2,901 | 57.3 |
Characteristics | Weighted N=5060 | X2 p-Value | |
|---|---|---|---|
N | % | ||
Sex of Household Head | 0.07 | ||
Male | 3935 | 77.8 | |
Female | 1125 | 22.2 | |
Wealth Index | <0.001* | ||
Poor | 2470 | 48.8 | |
Middle | 1126 | 22.2 | |
Rich | 1464 | 29 | |
Religion | 0.164 | ||
Catholic | 1794 | 35.4 | |
Protestant | 2435 | 48.1 | |
Adventist | 673 | 13.3 | |
Muslim | 60 | 1.2 | |
Others | 98 | 2.0 | |
Province of residence | 0.001* | ||
Kigali | 241 | 4.70 | |
South | 1173 | 23.1 | |
West | 1209 | 24.0 | |
North | 898 | 17.7 | |
East | 1539 | 30.4 | |
Women age category | 0.002* | ||
15-24 | 884 | 17.4 | |
25-34 | 2336 | 46.2 | |
35-49 | 1840 | 36.3 | |
Marital status | <0.001* | ||
Never in union | 487 | 9.70 | |
Married/living with a partner | 4133 | 81.6 | |
widowed/divorced/separated | 440 | 8.7 | |
Women's Education | <0.001* | ||
No formal education | 615 | 12.2 | |
Primary | 3527 | 69.7 | |
Secondary or higher | 918 | 18.1 | |
Women Occupation | <0.001* | ||
Unemployed | 751 | 14.8 | |
Agricultural | 2366 | 46.7 | |
Profession/employed | 113 | 2.4 | |
Manual work/services | 1830 | 36.1 | |
Distance to Health Facility | 0.004* | ||
Big problem | 1347 | 26.6 | |
Not a big problem | 3713 | 73.4 | |
Covered by health insurance | <0.001* | ||
No | 912 | 18.1 | |
Yes | 4148 | 81.9 | |
Total children ever born | <0.001* | ||
One child | 1148 | 22.7 | |
2-4 children | 2752 | 54.4 | |
Over 4 children | 1160 | 22.9 | |
Knowledge of the ovulatory cycle | 0.948 | ||
None/Not enough | 2159 | 42.7 | |
Yes/Adequate | 2901 | 57.3 | |
Full model | Adjusted model | |||||
|---|---|---|---|---|---|---|
COR | 95% CI | P-Value | AOR | 95% CI | P-Value | |
Characteristics | ||||||
Sex of the house | ||||||
Male | Ref | |||||
Female | 0.98 | [0.84-1.13] | 0.79 | - | - | - |
Wealth Index | ||||||
Poor | 1.7 | [1.46-1.97] | <0.001 | 1.47 | [1.23-1.76] | <0.001** |
Middle | 1.29 | [1.08-1.55] | 0.04 | 1.15 | [0.93-1.49] | 0.186 |
Rich | Ref | Ref | ||||
Religion | ||||||
Catholic | Ref | |||||
Protestants | 1 | [0.80-1.14] | 0.92 | _ | _ | _ |
Adventist | 1.18 | [0.98-1.43] | 0.07 | _ | _ | _ |
Muslim | 1.37 | [0.76-2.49] | 0.29 | _ | _ | _ |
Others | 1 | [0.63-1.58] | 0.99 | _ | _ | _ |
Province | ||||||
Kigali | Ref | Ref | ||||
south | 0.45 | [032-0.62] | <0.001 | 0.34 | [0.19-0.60] | <0.001 |
West | 0.55 | [0.39-0.75] | <0.001 | 0.41 | [0.23-0.73] | 0.002 |
North | 0.54 | [0.39-0.75] | <0.001 | 0.43 | [0.24-0.76] | 0.004 |
East | 0.49 | [0.36-0.68] | <0.001 | 0.38 | [0.22-0.67] | 0.001 |
Women age category | ||||||
15-24 | Ref | Ref | ||||
25-34 | 0.82 | [0.65-0.97] | 0.02 | 1.20 | [1.02-1.51] | 0.033* |
35-49 | 1.04 | [0.87-1.23] | 0.01 | 1.30 | [1.04-1.70] | 0.023* |
Marital status | ||||||
Married/Living with a partner | Ref | Ref | ||||
Never in Union | 1.7 | [1.40-2.08] | <0.001 | 2.20 | [1.70-2.62] | <0.001*** |
Widow/divorced/separated | 1.08 | [0.86-1.34] | 0.48 | 1 | [0.72-1.25] | 0.737 |
Women's education level | ||||||
No formal education | 1.86 | [1.47-2.34] | <0.001 | 1.20 | [0.93-1.57] | 0.158 |
Primary | 1.5 | [1.26-1.77] | <0.001 | 1.10 | [0.95-1.40] | 0.145 |
Secondary/higher education | Ref | Ref | ||||
Women's Occupation | ||||||
Unemployed | 3.43 | [1.95-6.02] | <0.001 | 2.10 | [1.16-3.95] | 0.014* |
Agricultural | 3.84 | [2.22-6.62] | <0.001 | 2.40 | [1.33-4.27] | 0.003* |
Profession/employed | Ref | Ref | ||||
Manuel/work/services | 4.15 | [2.40-7.18] | <0.001 | 2.46 | [1.37-4.44] | 0.003* |
Distance to Health Facility | ||||||
Big problem | 1.21 | [1.06-1.39] | 0.004 | 1.10 | [0.95-1.27] | 0.198 |
Not a big problem | Ref | Ref | ||||
Covered by Health Insurance | ||||||
No | Ref | Ref | ||||
Yes | 0.6 | [0.51-0.70] | <0.001 | 0.77 | [0.60-0.86] | <0.001*** |
Total Children Ever Born | ||||||
One child | Ref | Ref | ||||
Two- four | 1,06 | [0.91-1.23] | <0.001 | 1.30 | [1.11-1.59] | 0.001** |
Over 4 | 1.75 | [1.46-2.09] | <0.001 | 2.30 | [1.79-3.04] | <0.001*** |
Knowledge about the ovulatory cycle | ||||||
None/Not enough | 1 | [0.88-1.13] | 0.94 | _ | _ | _ |
Yes/Adequate | Ref | |||||
WHO | World Health Organization |
ANC | Antenatal Care |
MMR | Maternal Mortality Rate |
RDHS | Rwanda Demographic Health Survey |
AOR | Adjusted Odds Ratio |
COR | Crude Odds Ratio |
EAs | Enumeration Areas |
CI | Confidence Interval |
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APA Style
Ishimwe, J., Niyibizi, O., Tuyishime, A., Imanishimwe, J., Mugisha, J., et al. (2026). Predictors for Delayed First Antenatal Care Visit in Rural Area of Rwanda: Evidence from Rwanda Demographic Health Survey 2019-2020. American Journal of Health Research, 14(1), 21-32. https://doi.org/10.11648/j.ajhr.20261401.14
ACS Style
Ishimwe, J.; Niyibizi, O.; Tuyishime, A.; Imanishimwe, J.; Mugisha, J., et al. Predictors for Delayed First Antenatal Care Visit in Rural Area of Rwanda: Evidence from Rwanda Demographic Health Survey 2019-2020. Am. J. Health Res. 2026, 14(1), 21-32. doi: 10.11648/j.ajhr.20261401.14
@article{10.11648/j.ajhr.20261401.14,
author = {Japhet Ishimwe and Odille Niyibizi and Aphrodis Tuyishime and Joseph Imanishimwe and John Mugisha and Absolomon Gashaija and Raphael Ndahimana and Roger Muragire and Marie Colombe Munezero and Gad Binayisa and Kevin Nwanna Uchechukwu},
title = {Predictors for Delayed First Antenatal Care Visit in Rural Area of Rwanda: Evidence from Rwanda Demographic Health Survey 2019-2020},
journal = {American Journal of Health Research},
volume = {14},
number = {1},
pages = {21-32},
doi = {10.11648/j.ajhr.20261401.14},
url = {https://doi.org/10.11648/j.ajhr.20261401.14},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajhr.20261401.14},
abstract = {Background: Timely commencement of antenatal care (ANC) improves maternal outcomes by reducing complications that often result in death. According to the World Health Organization, 800 women died daily in 2020 from preventable complications related to pregnancy and childbirth, with almost 95% occurring in low and middle-income countries where Rwanda is located. Therefore, this study aimed to determine predictors of delayed first ANC visits in rural areas of Rwanda. Methods: This cross-sectional study utilized the Rwanda Demographic and Health Survey (RDHS) data, enrolling a weighted sample of 5,060 women who had been pregnant within the five years preceding the survey. Logistic regression modeling identified socio-demographic and maternal characteristics associated with delayed first ANC visits. Results: The prevalence of delayed first ANC visits was 40.2%. After adjustment of variables in a multivariate regression model, factors associated with the delays included low wealth index, marital status, maternal age (25-34 and 35-49), having 2-4 or more than 4 children, and occupation. Health insurance coverage was a protective factor against the delays of ANC. Conclusion: The findings highlight the need for interventions at multiple levels to increase timely uptake of the first antenatal care visit, as the study revealed socio-demographic and maternal factors that significantly influence delays in initiating antenatal care.},
year = {2026}
}
TY - JOUR T1 - Predictors for Delayed First Antenatal Care Visit in Rural Area of Rwanda: Evidence from Rwanda Demographic Health Survey 2019-2020 AU - Japhet Ishimwe AU - Odille Niyibizi AU - Aphrodis Tuyishime AU - Joseph Imanishimwe AU - John Mugisha AU - Absolomon Gashaija AU - Raphael Ndahimana AU - Roger Muragire AU - Marie Colombe Munezero AU - Gad Binayisa AU - Kevin Nwanna Uchechukwu Y1 - 2026/01/29 PY - 2026 N1 - https://doi.org/10.11648/j.ajhr.20261401.14 DO - 10.11648/j.ajhr.20261401.14 T2 - American Journal of Health Research JF - American Journal of Health Research JO - American Journal of Health Research SP - 21 EP - 32 PB - Science Publishing Group SN - 2330-8796 UR - https://doi.org/10.11648/j.ajhr.20261401.14 AB - Background: Timely commencement of antenatal care (ANC) improves maternal outcomes by reducing complications that often result in death. According to the World Health Organization, 800 women died daily in 2020 from preventable complications related to pregnancy and childbirth, with almost 95% occurring in low and middle-income countries where Rwanda is located. Therefore, this study aimed to determine predictors of delayed first ANC visits in rural areas of Rwanda. Methods: This cross-sectional study utilized the Rwanda Demographic and Health Survey (RDHS) data, enrolling a weighted sample of 5,060 women who had been pregnant within the five years preceding the survey. Logistic regression modeling identified socio-demographic and maternal characteristics associated with delayed first ANC visits. Results: The prevalence of delayed first ANC visits was 40.2%. After adjustment of variables in a multivariate regression model, factors associated with the delays included low wealth index, marital status, maternal age (25-34 and 35-49), having 2-4 or more than 4 children, and occupation. Health insurance coverage was a protective factor against the delays of ANC. Conclusion: The findings highlight the need for interventions at multiple levels to increase timely uptake of the first antenatal care visit, as the study revealed socio-demographic and maternal factors that significantly influence delays in initiating antenatal care. VL - 14 IS - 1 ER -