Skip to content
ALL Metrics
-
Views
-
Downloads
Get PDF
Get XML
Cite
Export
Track
Research Article
Revised

Prevalence and determinants of unmet family planning needs among women of childbearing age in The Gambia: analysis of nationally representative data

[version 2; peer review: 1 approved, 1 approved with reservations]
PUBLISHED 22 Jan 2021
Author details Author details
OPEN PEER REVIEW
REVIEWER STATUS

This article is included in the International Conference on Family Planning gateway.

Abstract

Background: Family planning is imperative in the control of population growth by preventing unintended pregnancies and reducing other pregnancy-related risks. However, the effectiveness of family planning is constrained by unmet needs. This study determined the proportion and identify factors associated with unmet family planning needs among women of childbearing age in The Gambia.
Methods: We utilized cross-sectional population-based Demographic and Health Survey (DHS) data from Gambian women aged 15-49 years in 2013. The outcome measured was the total unmet/met need for FP.  The sample comprised 10,233 women aged 15-49 years old. Chi-square test and multivariable logistic regression analysis were used.
Results: Of the 10,233 eligible women recruited in the study, the mean age was 27.4±9.1 years while 67.5% were married. Overall, 17.6% of women reported unmet FP need, of whom 14.0% and 3.6% reported unmet birth spacing and birth limitation needs, respectively. The women's age, region, ethnicity, number of live children, number of household/family members, the optimal number of children, and husband/partners’ desire for the children were found as significant determinants of unmet FP needs. Furthermore, breastfeeding has been identified as the key reason for the non-use of FP in mothers.
Conclusions: The study findings suggest a need to expand FP programs and related strategic communications especially for younger women in order to improve their contraceptive prevalence. Improving women empowerment and accessibility to FP will help to lessen the current trend towards rising unmet needs in The Gambia.

Keywords

contraceptives, unintended pregnancies, prevalence, breastfeeding

Revised Amendments from Version 1

This revised version address the use of ‘covariates’ instead of ‘factors,’ which was based on the analytical designs used in this paper. We have now reported both the correlation matrix and generalized variance inflation factor, and none established any multicollinearity. Based on this study's objective, it does not require hierarchical structure analysis (multilevel). At the level of the results, based on the DHS recode manual, the “Don’t know” category infers the husbands that felt unconcerned as per desire for the number of children. This was also clearly indicated in this version. Since DHS is a form of large scale cross-sectional study design, we now added recall bias as a potential limitation of the paper.

See the authors' detailed response to the review by Justice Moses K. Aheto

Introduction

Globally, data on unmet needs for family planning (FP) has become a useful tool for the measurement and prediction of contraceptive use, and the needs of a given population. Although, awareness and access to FP services has improved in recent years, unmet need for FP remains high, particularly in low-income countries1. At the global level, 885 million women of reproductive age in developing nations do not want to be pregnant at a particular time, while 214 million of them have an unmet need for FP methods, which accounted for 84% of all unplanned pregnancies in 20172,3. This implies that they have no desire for pregnancy and no access to any FP methods2. In developing countries, there are a high proportion of persons that want to use FP commodities but are not able due to lack of access to modern and up-to-date contraceptive methods4,5. Sub-Saharan Africa (SSA) contributes enormously to the proportion of this FP need among women, with more than 24% in 2015 compared to the global average (25% to 40%)1,6. Inaccessibility to FP services and low awareness levels contribute to high unmet needs for FP in SSA7. It is estimated that there are up to 21 million births which were not planned, 26 million abortions, and 7 million miscarriages not to mention 79,000 and 1.1 million maternal and child deaths respectively, which could be prevented if unmet needs for FP are attended to by FP programs4. Between 2017 and 2030, there is an expected surge in the frequency of FP utilization among women in parts of SSA, including West Africa, from 20% to 29%1. Globally, SSA accounted for 65% of FP needs for spacing, whereas other continents such as Latin America accounted for only 42%8.

Regarding population growth, The Gambia is considered to be among the highest in the sub-region, which can be attributed mainly to low contraceptive utilization with attended high unmet need for FP, with the fertility rate that relatively remains unchanged from 1960 to 20159. The Government of the Gambia aim to reduce the maternal mortality rate from 433/100,000 in 2013 to 315/100,000 and increase the contraceptive prevalence rate from 9% in 2013 to 25% by 202110. Despite the extensive reproductive health programmes, the unmet need for FP in The Gambia is projected at 26.5%, with 6.2% of women not using contraception since they want to cease further childbearing (limiting childbearing) and 20.3% who want to postpone the next birth at least two more years (spacing childbearing) with demand for FP satisfied with modern methods at 33.9%11. There is a high annual population growth rate of 3.3% and a maternal mortality ratio of 433 per 100,000 live births in the Gambia, compared to the 2016 global estimate of 385 deaths to 216 deaths per 100,000 live births12,13. At the national level, the total fertility rate prior to the survey was 4.4: 5.8 in rural areas, and 3.8 in urban areas11. The rural areas recorded higher age-specific fertility rates during their childbearing years. The general fertility rate for women aged 15–49 years is 140 births per 1,000, while the crude birth rate is 33 births per 1,000 population11.

There is a close relationship between population growth and FP. The majority of countries use FP to balance population growth with economic growth. In order to reduce the rate of unmet needs among women of childbearing age in the West African sub-region, there is a need for a proper understanding of various factors associated with unmet needs. Considering the limited available literature on this phenomenon, some identified determinants were majorly focusing on factors operating at individual and household levels. These have systematically taken away attention from the community factors instead of an integrated approach for better outcomes.

However, the lack of empirical research evidence is required to explain the current unprecedented population-based reproductive health challenges. This phenomenon resulted in examining the predictors of unmet need among reproductive-age women in The Gambia. To date, little attention has been paid to understanding the nexus of unmet need for FP in the Gambia, especially among low-income urban residents5. However, there is limited research that has explored the undercurrents of unmet needs for the FP concentrating on community-level issues and the incorporation of individuals, households, and communities in The Gambia. Therefore, the paper attempts to examine the prevalence and determinants of unmet FP needs among reproductive-age women in The Gambia.

Methods

Data source

This study utilized data from the 2013 Gambia Demographic and Health Survey (GDHS) from a population-based sample, created with the use of a stratified two-stage cluster sampling design. In the first stage, 281 clusters/Enumerated Areas (EAs) were selected in accordance with the probability proportional to the size of the EAs. In the second stage, 25 households were selected from each cluster/EA with an equal probability of systematic selection. The initial sample of 11,279 women aged 15–49 were identified from the 25 households, and 10,233 of them were eventually interviewed successfully. This yields a response rate of 91% which was considered for detailed analysis. The data used in this study were collected through interviews with women aged 15–49 years12.

Variable selection and measurement

Outcome variables. The outcome measured was unmet needs, which was expressed as 1 for those women who had an unmet need for FP and 0 for those who did not have an unmet need for FP. Women who did not have a need for FP were the percentage of all fertile women who were married or living in a union at the time of the interview and were considered sexually active. Although these group of women do not know if they want another child or when to have it or do not want more children at all, and/or want to delay their next child’s conception for more years, they do not use any contraceptive method for prevention of pregnancy1416.

Controlled variables. Information on independent variables include socio-demographics (age, educational level, ethnicity, place of residence, religion, wealth index, etc.) and related variables (number of live children, number of household/family members, partner’s desire on number of children, the optimal number of children, etc.). In terms of wealth index as a factor in this study, this was computed by DHS based on the households data that includes ownership of certain consumer items which ranges from ownership of car or bicycle to television, availability of clean drinking water, type of material used in building house especially the floor material, the type of and availability of sanitation facilities, and other dwelling characteristics12. The household score for each member of the respective household was formed using the national level wealth quintiles (that is, from lowest wealth to highest wealth) after the index was computed. Each person in the population was ranked with that score, while the ranking was divided into five categories comprising of 20% each12. However, the wealth index was further considered as low (poorest + second category), middle (middle category alone), and high (fourth + richest category) based on the specifications earlier highlighted and also cited in some previous studies16,17. The data file succinctly reported both limiting of children bearing and unmet need for spacing including some other related variables. The unaddressed need to restrict child bearing and spacing was added such that the total unmet need for FP was obtained. The other related variables of the said category were summed up to form the total number of met needs category1618.

Ethical approval

This study utilized a population-based datasets that are readily available in the public domain/online. Specific variables that could be used to identify study participants were removed for confidentiality purpose. Seeking individual-level consent of the participants was not applicable, since the authors used The Gambia DHS 2013 Survey dataset which was coordinated and collected by GBoS and ICF International. Permission to use the datasets was granted by MEASURE DHS/ICF International. The DHS project received the requisite ethical approvals from the related Research Ethics Committee in The Gambia, West Africa, prior to the survey.

Statistical analysis

Socio-demographic and related factors of the study sample were presented as percentages. Distributions between women who reported unmet needs and those who reported non-unmet needs for FP were compared using Chi-squared test. The results of Chi-square test between the categorical outcome variable (unmet need for FP and no unmet need) and background-independent variables (selected socio-demographic and related factors) were cross-checked for p<0.20 in order to be included for further analysis in the multivariable logistic regression model. The collinearity testing approach utilized the generalized variance inflation factor to detect interdependence between variables. Variance inflation factor cut-off of ≥10 was used to examine multicollinearity known to cause major concerns19. However, no variable was removed from the model due to a lack of multicollinearity. The multivariable logistic regression model was used to identify the associated factors with unmet FP needs, in which adjusted odds ratios (ORs) and their 95% confidence intervals (CIs) were computed. At the level of the analysis, variables with p values of >0.05 were considered statistically significant. Data analysis was performed using IBM SPSS version 25.

Results

Socio-demographic characteristics of women of reproductive-age in The Gambia

A total of 10,233 women of reproductive age were involved in the study and Table 1 shows their socio-demographic characteristics. The participant mean age was 27.4 years (standard deviation ±9.1). Almost half of the participants were within 15–24 years age group, which constituted 44.6% of the sample. More than half of the participants were from rural areas. Moreover, 2,366 (33.2%) of women were Mandinka by ethnicity and 5,079 (49.6%) were illiterate. Of the study participants, 6,905 (67.5%) were currently married, while 852 (8.3%) were reported to be pregnant at the time of the study. In total, 4,474 (43.8%) were currently working, 4,913 (48.0%) had household members aged between 1–10 years and 6,089 (59.5%) had 0–2 children living in a household.

Table 1. Women’s socio-demographic characteristics, GDHS 2013.

VariablesFrequency
(n)
Percent
(%)
Age of women
   15–24456444.6
   25–34323531.6
   35+243423.8
   Mean (SD): 27.4 (±9.1)
Place of residence
   Urban449844.0
   Rural573556.0
Region
   Brikama183317.9
   Kanifing150614.7
   Kerewan144814.2
   Basse126912.4
   Banjul107310.5
   Mansakonko104110.2
   Kuntaur103910.2
   Janjanbureh102410.0
Ethnicity
   Mandinka336633.2
   Fula247024.3
   Wollof138713.7
   Jola8518.4
   Serahuleh7447.3
   Non-Gambian4794.7
   Serere3883.8
   Manjago1431.4
   Bambara1231.2
   Other1051.0
   Creole880.9
Religion
   Islam991697.0
   Christianity3023.0
Highest level of educational
   No education507949.6
   Primary143814.1
   Secondary326831.9
   Higher4484.4
Wealth index
   Low439542.9
   Middle199119.5
   High384737.6
Currently pregnant
   No or unsure938191.7
   Yes8528.3
Current marital status
   Never in union286628.0
   Married690567.5
   Separate4624.5
Women work status
   No573256.2
   Yes447443.8
Number of living children
   0 – 2608959.5
   3+414440.5
   Mean (SD): 2.4 (±2.5)
Number of household members
   1 – 10491348.0
   11 – 20361235.3
   21+170816.7
   Mean (SD): 13.8 (±10.7)

Prevalence and reasons for the unmet need for FP among Gambian women

Table 2 presents the prevalence and reasons for the unmet FP need among participants Overall, the prevalence of unmet need for FP was 1,800 (17.6%) while the unmet need for spacing and limiting of the number of births was 1,432 (14.0%) and 368 (3.6%), respectively. Therefore, the total unmet need was found to be 8,412 (82.4%). The main reasons for lack of FP use among Gambian women were breastfeeding (n=1,240, 37.1%), respondent opposed to FP (n=747, 22.4%), partner opposed to FP (n=372, 11.1%), fatalistic outlook (n=344, 10.3%), postpartum amenorrhoea (n=321, 9.6%), and afraid of side effects/health issues (n=273, 8.2%).

Table 2. Prevalence and reasons for unmet need for family planning among fertile women, GDHS 2013.

VariablesFrequency (n)Percent (%)
Unmet need (n=10212)
   Never had sex244223.9
   Unmet need for spacing143214.0
   Unmet need for limiting3683.6
   Using for spacing5024.9
   Using for limiting1821.8
   Spacing failure170.2
   Limiting failure10.0
   No unmet need361135.4
   Not married and no sex in the last 30 days4974.9
   Infecund, menopausal116011.4
Total unmet need
   unmet need (spacing and/or limiting)180017.6
   No unmet need841282.4
Reason for not using FP*
   Breastfeeding124037.1
   Respondent opposed74722.4
   Husband/partner opposed37211.1
   Fatalistic34410.3
   Postpartum amenorrheic3219.6
   Afraid of side effects/health issues2738.2
   Not having sex2718.1
   Infrequent sex2417.2
   Religious prohibition1996.0
   Knows no method1715.1
   Not married1594.8
   Knows no source1103.3
   Menopausal/hysterectomy962.9
   Subfecund/infecund491.5
   Lack of access/too far351.0
   Interferes with the body’s processes331.0
   Others opposed90.3
   Inconvenient to use90.3
   Costs too much80.2
   No method available70.2
   Preferred method not available10.0

*Multiple responses

Factors influencing the unmet FP need among Gambian women

Table 3 shows a cross-tabulation with frequencies and percentages of each variable. The results shows that all background variables (age of women, place of residence, region, ethnicity, religion, educational level, wealth index, women current work status, number of live children, number of household/family members, ideal/optimal number of children and husband/partner desire for children) were significantly different among those with unmet FP need and those with no unmet need at p<0.05. The study shows that 7.2% of women aged 25–34 years had the highest proportion of unmet FP needs while those aged 15–24 years had the lowest unmet need for FP across all the age categories. Rural areas have a higher proportion of overall unmet FP need which accounted for 11.3%, while the communities of Brikama and Kerewan have a higher overall unmet FP need when compared to other regions in The Gambia.

Table 3. Factors associated with unmet family planning needs among Gambian women.

Socio-demographic factorsTotal unmet need for FPChi-square
test
p-value
Yes n (%)No n (%)
Age of women
   15–24453 (4.4)4107 (40.1)340.538<0.001*
   25–34739 (7.2)2492 (24.4)
   35+608 (5.9)1813 (17.7)
Place of residence
   Urban647 (6.3)3843 (37.6)57.099<0.001*
   Rural1153 (11.3)4569 (44.7)
Region
   Banjul145 (1.4)926 (9.1)77.634<0.001*
   Kanifing220 (2.2)1282 (12.6)
   Brikama310 (3.0)1517 (14.9)
   Mansakonko158 (1.5)880 (8.6)
   Kerewan299 (2.9)1149 (11.3)
   Kuntaur188 (1.8)850 (8.3)
   Janjanbureh259 (2.5)762 (7.5)
   Basse221 (2.2)1046 (10.2
Ethnicity
   Mandinka577 (5.7)2784 (27.5)22.6170.012*
   Wollof277 (2.7)1107 (10.9)
   Jola137 (1.4)711 (7.0)
   Fula470 (4.6)1997 (19.7)
   Serere54 (0.5)334 (3.3)
   Serahuleh127 (1.3)613 (6.1)
   Creole/Aku 7 (0.1)81 (0.8)
   Manjago22 (0.2)121 (1.2)
   Bambara19 (0.2)104 (1.0)
   Other14 (0.1)90 (0.9)
   Non-Gambian79 (0.8)398 (3.9)
Religion
   Islam1757 (17.2)8139 (79.8)4.0130.045*
   Christianity40 (0.4)261 (2.6)
Highest educational level
   No education1140 (11.2)3922 (38.4)212.816<0.001*
   Primary268 (2.6)1169 (11.4)
   Secondary350 (3.4)2915 (28.5)
   Higher42 (0.4)406 (4.0)
Wealth index
   Low871 (8.5)3514 (34.4)48.283<0.001*
   Middle381 (3.7)1605 (15.7)
   High548 (5.4)3293 (32.2)
Currently pregnant
   No or unsure1659 (16.2)7701 (75.4)0.7430.389
   Yes141 (1.4)711 (7.0)
Women current work status
   No891 (8.7)4832 (47.4)38.636<0.001*
   Yes906 (8.9)3557 (34.9)
Number of living children
   0 – 2610 (6.0)5472 (53.6)597.737<0.001*
   3+1190 (11.7)2940 (28.8)
Number of household/family members
   0–10777 (7.6)4128 (40.4)24.6<0.001*
   11–20669 (6.6)2934 (28.7)
   21+354 (3.5)1350 (13.2)
Ideal/optimal number of
children
   0 – 5687 (6.7)3944 (38.6)45.478<0.001*
   >51113 (10.9)4468 (43.8)
Husband's desire for
children
   Both want same277 (4.1)986 (14.4)13.2770.004*
   Husband wants more771 (11.3)2137 (31.3)
   Husband wants fewer20 (0.3)61 (0.9)
   Don't know/unconcerned700 (10.3)1873 (27.4)
Husband/partner's
education level
   No education1127 (15.4)3460 (47.2)1.9930.737
   Primary93 (1.3)276 (3.8)
   Secondary373 (5.1)1235 (16.9)
   Higher116 (1.6)378 (5.2)
   Don't know60 (0.8)207 (2.8)

* Statistically significant at 0.05 level

Those of Mandinka ethnicity had the highest total unmet FP needs (5.7%) followed by Fula at 4.6%). Adeherents to Islam recorded the highest unmet FP needs at 17.2%. In terms of the educational background of the participants, women who never been to school or lower educational levels have the highest level (11.2%) of overall unmet FP needs. The percentage decreased as the degree of schooling rose. The prevalence of total unmet FP need was high for both participants who are currently working (8.9%) and reported an ideal number of children more than 5 by 10.9% with low wealth index at 8.5%. Women with more than 3 living children had 11.7% prevalence rate of total unmet FP need while those with 0–2 living children had a rate of 6.0%. The proportion of total unmet FP need was highest among husbands/partners who desired to have more children (11.3%) and lowest for those who want fewer children.

Predictors of unmet need for FP among reproductive-age women in The Gambia

The model is shown in Table 4 where seven variables have p-value <0.05 at least in one of the specific categories in each predictor variable. However, place of residence, religion, women’s level of education, wealth index, and women’s current work status were not significant predictors of unmet need for FP. Women in the age group 15–24 were 22.5% less likely to have unmet FP needs as compared to those at age 35 and above. However, women aged 25–34 were 6.1% less likely to have unmet FP needs than women aged 35 and over. Compared to women in Basse region, there is less likelihood of having unmet FP needs for those in Banjul (44.8%), Kanifing (44.8%), Brikama (29.9%), Kerewan (31.3%) and Janjanbureh (48.9%). The likelihood reduces for women that are Mandinka, Wollof, Jola, and Fula by 32.4%, 34.0%, 29.1%, and 31.5%, respectively, as compared to non-Gambian/foreign women. Furthermore, the likelihood of women who had 0–2 living children increased significantly by a factor of 2.148 (OR: 2.148, 95% CI: (1.843, 2.504)) compared to those with 3 or more living children during the study.

Table 4. Determinants of unmet family planning need among Gambian women.

VariablesB (Regression
coefficient)
Odds
Ratio
95% C.I. for ORp-value
LowerUpper
Age of women 0.031
   15–24-0.2540.7750.6390.9410.010*
   25–34-0.0630.9390.8201.0750.364
   35+ (Ref)1
Residence
   Urban0.1701.1860.9661.4560.103
   Rural (Ref)1
Region 0.000
   Banjul-0.5930.5520.3980.7660.000***
   Kanifing-0.5950.5520.4100.7420.000***
   Brikama-0.3560.7010.5510.8900.004**
   Mansakonko-0.0010.9990.7731.2920.995
   Kerewan-0.3750.6870.5470.8630.001**
   Kuntaur-0.0590.9430.7391.2030.634
   Janjanbureh-0.6710.5110.4060.6430.000***
   Basse (Ref)1
Ethnicity 0.333
   Mandinka-0.3910.6760.5110.8950.006**
   Wollof-0.4160.6600.4890.8900.006**
   Jola-0.3440.7090.5080.9890.043*
   Fula-0.3780.6850.5160.9110.009*
   Serere-0.2500.7790.5171.1740.233
   Serahuleh-0.3020.7390.5251.0420.084
   Creole/Aku0.1961.2170.3903.7960.735
   Manjago-0.6280.5340.2691.0570.072
   Bambara-0.4680.6260.3431.1420.127
   Other-0.1570.8550.4401.6630.644
   Non-Gambians (Ref)1
Religion
   Islam0.2281.2550.7722.0410.359
   Christianity (Ref)1
Highest education 0.076
   No education-0.1080.8970.6141.3120.577
   Primary-0.2920.7470.5021.1110.149
   Secondary-0.2460.7820.5331.1480.209
   Higher (Ref)1
Wealth index 0.595
   Low-0.0300.9710.7841.2010.784
   Middle-0.0930.9110.7381.1250.388
   High (Ref)1
Respondent currently
working
   No-0.0530.9490.8441.0660.376
   Yes (Ref)1
Number of living
children
   0 – 20.7652.1481.8432.5040.000***
   3+ (Ref)1
Number of household
members
0.049
   0–10-0.1770.8380.6851.0250.085
   11–20-0.2230.8000.6700.9570.014*
   21+ (Ref)1
Ideal number of
children
   0 – 50.1621.1761.0361.3340.012*
   >5 (Ref)1
Husband's desire for
children
0.002
   Both want same0.3271.3871.1721.6400.000***
   Husband wants more0.0631.0650.9371.2110.333
   Husband wants fewer0.1971.2170.7192.0600.464
   Don't know/
unconcerned (Ref)
1

Ref = Reference category, CI (Confidence Interval)

* P<0.05

** P<0.01

*** P<0.001

However, the probability that women with 11–20 household members to have unmet FP needs declined by 20% relative to those with more than 20 household members. Women who see 0–5 children as the ideal number were 1.176 (OR: 1.176, 95% CI: (1.036, 1.334)) more likely to have unmet FP needs when compared with women with more than 5 ideal number of children. Furthermore, participants who reported to share the same desire for the number of children with their husbands/partners were 1.387 (OR: 1.387, 95% CI: (1.172, 1.640)) relative to those who reported that they don’t know their partners desire for children or husband felt unconcerned about the desired number of children.

Discussion

In this paper, we examined the prevalence and determinants of unmet FP needs in women who were within the age of reproduction in The Gambia. The prevalence of unmet FP needs was 17.6,% with 14.0% for spacing and 3.6% for limiting the number of live births. The results revealed that the age of women, region, ethnicity, number of living children, number of household members, ideal parity, and husband/partners’ desire for more children were significant determinants of unmet FP needs. The most significant reason given by the women who had unmet needs as the barrier to the use of contraceptive methods was breastfeeding. We observed very low unmet need among women who were within the age bracket of 15–24 years, with peak in women in their late 20s to early 30s, and a decline was observed among those in their 40s. This indicates that there is a lower likelihood of unmet need among the studied female population as their age increases. That may be due to the fact that older women must have been in a marriage for a longer period than the younger women and therefore, may have gained experience in contraceptive use. This may have been a contributory factor to the reduction in the unmet observed among Gambian women. This result is in accordance with published studies from Myanmar20 and Bangladesh21.

However, the results are in contrast to the study conducted in Mumbai22 on the prevalence of unmet need for FP, which showed a rate of 40.6%, while in Nigeria, Okonofua23 reported that the prevalence was less than 20%. Several studies such as The Gambia MICS report 201024 (22%), (18.7%) for South India25, and (22.1%) in Nagpur26 were found to be slightly higher than the reported prevalence for this study. However, the findings of this study were slightly lower than The Gambia DHS 2013 for overall unmet need for FP which was 24.9%. Furthermore, the unmet need prevalence as well as birth spacing and limiting as observed in this study were found to be slightly higher than that reported from an Ethiopia study in 2016. That study showed that the unmet need for FP prevalence was 16.2%, with 10.2% and 6.0% for child spacing and birth limiting unmet needs, respectively27. These disparities could be attributed to cultural and religious variations, as well as the nature of the health systems in individual countries for the delivery of FP services. The fear of adverse effects, child sex preference and religious prohibitions were among the major deterrents for FP uptake in these studies.

The findings of this study show that urban women had a lower unmet need relative to those in the rural settings of The Gambia we attributed this to the availability of better healthcare services which supposedly is more available and accessible in urban settings than rural areas. Moreso, urban settings in the Gambia are assumed to have better facilities for health care services, and are more exposed in terms of access to information and education (in terms of adequate availability of various mass media services/programs), and the current trend in global health issues. Women from urban areas, as opposed to those from rural areas, could be more progressive and may have more autonomy to be independent in reproductive health decision making and utilization28. Improved FP education and the systematic empowerment of rural women could lead to a reduction in the rate of unmet need in the rural parts of the Gambia.

The results of this study show that the educational status of the studied women is positively associated with a reduction in unmet need in The Gambia. Other studies have revealed a similar pattern of improved FP use and maternal health service utilization in better-educated women28,29. Women with higher levels of education could enable them to better understand the need for FP in reducing fertility, related maternal and child morbidities, and mortalities. The sum of births or living children among the studied women is a predictor of the prevalence of contraception in The Gambia. This study revealed that the increase in the number of living children among the studied women brings about a decrease in unmet need for FP, which was also seen in studies conducted in Ghana30, Uganda28, and Burkina Faso31. Higher parity women may have gained more experience on the probable adverse effects of FP methods either by consulting service providers or reading different publications about the side effect of contraceptive methods which increased their consistent use.

The reported prevalence for unmet need for FP in this paper is slightly below 25%, as compared to DHS 2013 cumulative percentage12,24,32 which could be due to slight variation in the estimation methods used (reproductive-age group versus married women)33. Currently working and pregnant women had higher levels of unmet need for FP, which supported our initial postulation that unmet need for FP would be higher among women with a higher number of living children, and those that are unsure about their pregnancy status, as several studies3437 have revealed. As a result of the socio-cultural settings, these women lives in, they could not decide on their own to prevent further pregnancies38,39. In this study, almost one in five women in the rural areas that were in a marriage experienced an unmet FP need. This further suggests that the issue of unmet needs is still a huge problem and therefore requires urgent action from all concerned agencies.

The study findings are reminiscent of the assumption that the multidimensional nature of unmet need may not have any association with the infrastructural variances across quarters and regions, rather it may be as a result variation in women age, regional differences, educational level, women working status, marital status and number of children living, number of household members, the ideal sum of children and partners’ desire for children across these settings. The authors have also acknowledged that the observed associations in unmet need and selected explanatory variables in this study may actually be dependent on the context and therefore may change when other outcome variables are manipulated. Since secondary data was used for this study, authors did not have control over them, there may be limitations to the intended analysis and therefore cannot change the original questions the researchers would want to answer. Another major limitation is reporting bias because most of the variables used are based on recall from the respondents.

Policy implications

Firstly, since uneducated women were found to be at higher risk of experiencing an unmet need for FP, there should be a continuous increase in the level of education which ultimately increases the chances of women using contraceptive methods. Therefore, the promotion of female education across primary, secondary, and tertiary levels should be institutionalized. Effective formulation of robust reproductive health policy with a clear strategy for its successful implementation among women (15–34 years) of age is highly required.

Secondly, the uptake of FP is very low among Mandinka and Wollof peoples, especially those from the rural areas of The Gambia. This could be as a result of fear of side effects, fertility preference, and partner desires for children. Therefore, the government together with development partners should provide adequate, timely, and reliable information to these women across the country. Thus, improving the skills and competence of service providers will enhance the consumption level of FP commodities in the Gambia.

Thirdly, spousal communication should be strengthened as both partners’ desire for children, the number of living children and the ideal number of children were found to be significant predictors of unmet need for FP in The Gambia. Advocacy for male involvement through raising their awareness of the benefits associated with various contraceptive methods should be prioritized and intensified.

Conclusion

The study revealed that about one in five women experiences an unmet FP needs in rural areas in The Gambia, largely due to selected adverse socio-demographic and related characteristics. The prevalence of unmet FP needs in The Gambia is still very high (17.6%) and there are more unmet spacing needs (14.0%) than limited (3.6%). Thus, some determinants of unmet FP need, such as women’s age, region, ethnicity, living children, number of household members, the ideal number of children and partner’s desire for children and effective community-based FP interventions, should be designed to reinforce the existing provision in order to spread to a larger amount of females38,40. Breastfeeding was found to be the foremost cause of non-use of contraceptives across women with an unmet need for FP. The study findings suggest the need to expand FP programs and related strategic communications especially for younger women, including those in their late 20s and early 30s in order to improve their contraceptive prevalence. Improving women’s access to FP and the empowerment of women will help to lessen the current trend towards rising unmet need in The Gambia.

Data availability

Underlying data

Data for this study were sourced from Demographic and Health surveys (DHS), Gambia 2013, and available here: http://dhsprogram.com/data/available-datasets.cfm.

Access to the dataset requires registration, and is granted to those that wish to use the data for legitimate research purposes. A guide for how to apply for dataset access is available at: https://dhsprogram.com/data/Access-Instructions.cfm.

Comments on this article Comments (0)

Version 2
VERSION 2 PUBLISHED 02 Sep 2020
Comment
Author details Author details
Competing interests
Grant information
Copyright
Download
 
Export To
metrics
Views Downloads
Gates Open Research - -
PubMed Central
Data from PMC are received and updated monthly.
- -
Citations
CITE
how to cite this article
Barrow A, Jobe A and Okonofua F. Prevalence and determinants of unmet family planning needs among women of childbearing age in The Gambia: analysis of nationally representative data [version 2; peer review: 1 approved, 1 approved with reservations] Gates Open Res 2021, 4:124 (https://doi.org/10.12688/gatesopenres.13175.2)
NOTE: it is important to ensure the information in square brackets after the title is included in all citations of this article.
track
receive updates on this article
Track an article to receive email alerts on any updates to this article.

Open Peer Review

Current Reviewer Status: ?
Key to Reviewer Statuses VIEW
ApprovedThe paper is scientifically sound in its current form and only minor, if any, improvements are suggested
Approved with reservations A number of small changes, sometimes more significant revisions are required to address specific details and improve the papers academic merit.
Not approvedFundamental flaws in the paper seriously undermine the findings and conclusions
Version 2
VERSION 2
PUBLISHED 22 Jan 2021
Revised
Views
5
Cite
Reviewer Report 11 Feb 2021
Justice Moses K. Aheto, Department of Biostatistics, School of Public Health, College of Health Sciences, University of Ghana, Accra, Ghana 
Approved with Reservations
VIEWS 5
The actors responded to most of the queries, but the authors did not provide a satisfactory answer to one of the critical issues raised in my earlier review. In my earlier review, one of the issues I raised is below: 
... Continue reading
CITE
CITE
HOW TO CITE THIS REPORT
Aheto JMK. Reviewer Report For: Prevalence and determinants of unmet family planning needs among women of childbearing age in The Gambia: analysis of nationally representative data [version 2; peer review: 1 approved, 1 approved with reservations]. Gates Open Res 2021, 4:124 (https://doi.org/10.21956/gatesopenres.14442.r30248)
NOTE: it is important to ensure the information in square brackets after the title is included in all citations of this article.
Version 1
VERSION 1
PUBLISHED 02 Sep 2020
Views
13
Cite
Reviewer Report 29 Sep 2020
Justice Moses K. Aheto, Department of Biostatistics, School of Public Health, College of Health Sciences, University of Ghana, Accra, Ghana 
Approved with Reservations
VIEWS 13
Barrow and colleagues examined prevalence and determinants of unmet family planning needs among women aged 15-49 years in The Gambia using secondary data based on the 2013 Gambia DHS datasets. They attempt to address an important public health issue. Studies ... Continue reading
CITE
CITE
HOW TO CITE THIS REPORT
Aheto JMK. Reviewer Report For: Prevalence and determinants of unmet family planning needs among women of childbearing age in The Gambia: analysis of nationally representative data [version 2; peer review: 1 approved, 1 approved with reservations]. Gates Open Res 2021, 4:124 (https://doi.org/10.21956/gatesopenres.14374.r29475)
NOTE: it is important to ensure the information in square brackets after the title is included in all citations of this article.
  • Author Response 22 Jan 2021
    Amadou Barrow, Department of Public and Environmental Health, School of Medicine & Allied Health Sciences, University of The Gambia, Kanifing, The Gambia
    22 Jan 2021
    Author Response
    Response to Reports:

    "Barrow and colleagues examined prevalence and determinants of unmet family planning needs among women aged 15-49 years in The Gambia using secondary data based on the ... Continue reading
COMMENTS ON THIS REPORT
  • Author Response 22 Jan 2021
    Amadou Barrow, Department of Public and Environmental Health, School of Medicine & Allied Health Sciences, University of The Gambia, Kanifing, The Gambia
    22 Jan 2021
    Author Response
    Response to Reports:

    "Barrow and colleagues examined prevalence and determinants of unmet family planning needs among women aged 15-49 years in The Gambia using secondary data based on the ... Continue reading
Views
6
Cite
Reviewer Report 14 Sep 2020
Erin M. Reynolds, University of Southern Indiana, Evansville, IN, USA 
Approved
VIEWS 6
The current work provides details regarding the unmet need for family planning in the Gambia. The study is done using the Gambian DHS survey and includes expanded analysis of the variables related to FP with the use of t-test, chi-squared, ... Continue reading
CITE
CITE
HOW TO CITE THIS REPORT
Reynolds EM. Reviewer Report For: Prevalence and determinants of unmet family planning needs among women of childbearing age in The Gambia: analysis of nationally representative data [version 2; peer review: 1 approved, 1 approved with reservations]. Gates Open Res 2021, 4:124 (https://doi.org/10.21956/gatesopenres.14374.r29473)
NOTE: it is important to ensure the information in square brackets after the title is included in all citations of this article.

Comments on this article Comments (0)

Version 2
VERSION 2 PUBLISHED 02 Sep 2020
Comment
Alongside their report, reviewers assign a status to the article:
Approved - the paper is scientifically sound in its current form and only minor, if any, improvements are suggested
Approved with reservations - A number of small changes, sometimes more significant revisions are required to address specific details and improve the papers academic merit.
Not approved - fundamental flaws in the paper seriously undermine the findings and conclusions

Are you a Gates-funded researcher?

If you are a previous or current Gates grant holder, sign up for information about developments, publishing and publications from Gates Open Research.

You must provide your first name
You must provide your last name
You must provide a valid email address
You must provide an institution.

Thank you!

We'll keep you updated on any major new updates to Gates Open Research

Sign In
If you've forgotten your password, please enter your email address below and we'll send you instructions on how to reset your password.

The email address should be the one you originally registered with F1000.

Email address not valid, please try again

You registered with F1000 via Google, so we cannot reset your password.

To sign in, please click here.

If you still need help with your Google account password, please click here.

You registered with F1000 via Facebook, so we cannot reset your password.

To sign in, please click here.

If you still need help with your Facebook account password, please click here.

Code not correct, please try again
Email us for further assistance.
Server error, please try again.