# Maternal and Child Health Services in Rural Settings of The Gambia: Contextual Determinants of Postnatal Care from Mothers’ Perspectives—A Community-Based Analytical Cross-Sectional Study

Authors: Bakary Kinteh; Amadou Barrow; Musa Nget; Ebrima Touray; Jainaba Touray; Sambou L. S. Kinteh; Mansour Badjie; Solomon P. S. Jatta
Journal: Advances in Public Health
 (2022)

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## Abstract

Background. Maternal and child health in The Gambia is a trending public health burden. The postnatal period is critical and vital to the lives and health of the maternal mothers and their newborns, and pieces of evidence deduced that a majority of maternal and newborn deaths occur during this period. Hence, this research aimed to assess the prevalence and determinants of postnatal care utilization across women in rural Gambia. Methods. A community-based cross-sectional design was conducted in January 2020, with 265 women of childbearing age were recruited from the selected households in rural communities across the Upper River Region (URR), Gambia, using multistage sampling technique. A structured-interview questionnaire was developed to elicit contextual sociodemographic characteristics regarding the use of postnatal care. Percentages, chi-square/Fisher’s exact test for variables with p value ≤0.15 were considered for inclusion into the logistic regression model. The significance level was set at p<0.05. The adjusted odds ratios (aOR) with 95% confidence interval (CI) were computed to declare significance. Results. The study revealed that 90% of women utilize postnatal care (PNC) services in the rural settings of URR, Gambia. Factors such as women’s occupation, location, number of pregnancies, attending in last pregnancy, current uptake of family planning, and complication(s) in last labor were found to be associated with PNC utilization. Women who attended antenatal care (ANC) services in their last pregnancy were 10.8 times (aOR = 10.795, 95% CI: 1.025–113.694), current users of FP were 10.7 times (aOR = 10.708, 95% CI: 1.379–83.152), women’s number of pregnancies increases by a factor of 4.6 times (aOR = 4.649, 95% CI: 1.518–14.243) more likely to utilize PNC while women’s number of children alive were less likely by 76.1% (aOR = 0.239, 95% CI: 0.071–0.810) as compared to those who were not utilizing PNC services. Conclusion. The findings showed that attending ANC services, current uptake of FP, women’s number of pregnancies, and number of children alive were associated with PNC. Strengthening women empowerment and designing responsive ANC programs especially for rural women to improve PNC services are required.


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## Body

## 1. Background

The postnatal period is critical and vital to the lives and health of the maternal mothers and their newborns, and pieces of evidence deduced that the majority of maternal and newborn deaths occur during this period [1]. Skilled birth attendance is critical for lowering maternal and newborn morbidities and mortalities. The World Health Organization (WHO) recommended initiating postnatal contact within 24 hours of birth and continuing with three additional interactions on day three, from week one to week two, and six weeks following birth [2]. Worldwide, around 295,000 maternal fatalities occurred in 2017 and 2.5 million newborn deaths occurred in 2018; over 94 percent of these deaths occurred in places with limited resources [3, 4]. The majority of these deaths might be avoided with quality services, robust programs, and interventions administered prior to and during pregnancy, all through labor and childbirth, and in the critical times after birth [5]. In developing nations, the percentage of deliveries attended by qualified healthcare staff has risen from 59 percent in 1990 to 80 percent in 2017 [4]. Each year, over a million newly born babies, die on their first day of life [6], with the majority of these deaths occurring in sub-Saharan Africa [7]. Additionally, each day, 800 women and 7700 newborns die due to problems during pregnancy and childbirth, and another 7300 women report a stillbirth in the postnatal period [5]. With a growing percentage of newborns in health facilities, those facilities see an increase in preventable maternal and perinatal mortalities and morbidities [8].The global disparity between low- and middle-income countries as well as rural and urban areas on the deaths of newborns associated with inadequate postnatal care continued to be a significant concern and vision yet unachieved [7, 9]. When neonates are delivered in a facility, they should receive an initial check at birth and a comprehensive clinical assessment approximately one hour following birth and before discharge [2]. The WHO’s 2016 Standards for improving maternity and newborn care quality in public health systems defined the postnatal period as the six weeks following childbirth [8]. Maternal mortality rate can be improved in developing nations by investing in enabling legislation, policies, a supportive environment, extending trained personnel deliveries in rural and neglected areas, and removing financial constraints [10]. Postnatal care should contain essential components such as thermal and cord care, breastfeeding counseling, checking the baby’s temperature, weighing the infant, and educating the mother on newborn danger signs [8]. Thermal and cord care are critical components of newborn care because they help maintain the infants’ temperature and avert hypothermia [11]. Effective cord care is critical for preventing both mother and baby from contracting life-threatening infections [12]. PNC services are known to be among the most neglected MCH initiatives in Africa, as cultural norms frequently define the postpartum period. Understanding these beliefs and practices is essential for ensuring effective and timely postnatal care [13].Maternal and child health in The Gambia is a trending public health burden. The Gambia is ranked 13th, with the highest maternal mortality rate of 597/100,000 in 2017 [14]. Moreover, a hospital-based retrospective study recorded nearly 700 maternal deaths in eight years, with an annual death rate range from over 1400 and 2100 deaths per 100,000 live births with a high burden of neonatal hospitalization [15, 16]. To curb this high maternal death rate, the Ministry of Health developed the health policy of 2015 to 2020 to reduce the MM ratio from 730/100000 to 150/100000 by 2015 [17]. This target was far from reality as it could not be achieved, and maternal mortality is a national predicament [17]. In 2017, The Gambia Government envisaged reducing maternal and newborn mortality from 433 to 315 per 100,000 throughout the country by 2021, as documented in the National Development Plan (NDP) 2018–2021 [18].The multicluster survey conducted in 2018 revealed that women of childbearing age who had last live births in the last two years were 3,472 of which nearly 70% had no postnatal care [19]. As for the child’s postnatal check, nearly 88% of women had their children been checked at the health center [19]. Furthermore, the national postnatal care prevalence was found to be nearly 23% and 27% for women and newborns, respectively, with marked regional variations [20]. Furthermore, the Upper River Region had more than two-thirds of her women, and newborns do not attend PNC in 2018 [20]. There is a need for a concerted effort to promote and maintain postnatal mothers’ health with their newborns as the postpartum period is a critical stage.With high maternal mortality in The Gambia, limited research is conducted on understanding the determinants of PNC within the context of MCH services in rural settings. Hence, this research aims to assess the determinants of PNC among women in rural Gambia. This research would inform policymakers on structural and systematic factors affecting PNC within the bigger picture of MCH services in rural Gambia.


## 2. Methods

### 2.1. Study Area

The study was carried out in the Upper River Region, the seventh and the farthest region in The Gambia. The regional administrative headquarter is located in Basse Mansajang Kunda, about 300 km from Banjul, the country’s capital city. It has a population of more than 200, 000 persons with a population density of 115 persons per square kilometer, and it represents nearly 13% of The Gambia’s population [21]. The region is administered by a Regional Governor and is further divided into seven districts such as Fulladu East, Jimara, Kantora, Sandu, Wuli East, Wuli West, and Tumana, each headed by a District Chief. Furthermore, the region is divided into the northern and southern sides by the river Gambia and has a land size of 20695 km2 [21]. The region has a district hospital, a major health center, 8 minor health centres, and 2 private clinics. URR also has a total of 17 Primary Health Care (PHC) key villages with 110 non-PHC villages. Moreover, the region has seventy-one reproductive child health outreach clinics providing reproductive, maternal, neonatal, adolescent, and child health services [22]. Conversely, URR has recorded 99.3% antenatal visit coverage, 75% facility delivery, and PNC coverage of 18%, which is low [19]. This has created a vacuum in the output of the health service delivery as postnatal care is an important indicator in maternal and newborn health. The study was carried out in January 2020.


### 2.2. Study Design and Population

A community-based cross-sectional study design was used to collect quantitative data from women of childbearing age. Women residing in those communities during their last pregnancy and who had a history of childbirth within the last twelve months before the fieldwork were included in the study. On the other side, those who were away during the last 12 months preceding the study were excluded.


### 2.3. Sample Size Determination and Selection of Participants

The study sample size was calculated using the Cochrane formula as shown below; a postnatal visit prevalence of 18% in the Upper River Region was adapted from the multicluster indicator survey of 2018 [19].(1)n=pqz∝/2e2.At 95% confidence interval,z-value of alpha is (z = 1.96), p represents the prevalence of postnatal visits from the adapted survey p=0.18, while q is expressed as 1−p (q = 0.776), e represents the margin of error expressed as (d = 0.05), and the total sample size of n = 227. However, the sample size was adjusted to 265 to improve the power of the study.A multistage sampling method was used for the study; firstly, a simple random sampling (SRS) was used to select four districts (two districts from both the northern and southern parts of the region). Secondly, an SRS was used to select three villages from each, while a proportionate sampling was used to compute for each selected village. Thirdly, at the village level, the taxpayers’ list was collected from the Alkalo to select households’ heads randomly, and finally, participants were selected through randomization. Data collectors systematically move to the next household when the selected household has no legible participants.


### 2.4. Data Collection Tools

A pretested, close-ended-structured questionnaire written in English and translated into three local spoken languages: Mandinka, Fula, and Sarahule was used. Women of childbearing age were interviewed in their local language by trained research assistants from the School of Public Health, Gambia College. Data was collected through face-to-face interviews to elicited information on women’s PNC uptake and sociodemographic characteristics. Participants were interviewed in their respective local languages (Fula, Mandinka, and Sarahule) by trained research assistants.


### 2.5. Study Variables

#### 2.5.1. Outcome Variable

Postnatal care served as a dependent variable in this study. Women who had given birth within a year before the study were asked if “they have attended PNC in their last delivery.” If the woman responded to have received PNC, she was coded as Yes = 1, and if she did not receive PNC, coded as No = 0.


### 2.6. Explanatory Variables

A total of thirteen sociodemographic characters of reproductive-age women were considered as independent variables for this study. These included age categorized as 25 years and below, 26 to 35 years and ≥36 years; marital status: unmarried/single mother, in-union/married, and divorced; educational level: no formal education, primary, secondary, tertiary, and Arabic; occupation: not working, housewife, farmer and businesswoman; family type: nuclear, extended, and single parenting; average monthly income: <D1500 ($29) and ≥D1500 (>$29) [23]; number of pregnancies: ≤4 pregnancies and ≥5 pregnancies; and number of children: ≤3 children and ≥4 children. The respondent antenatal care attendance, place of last delivery, and complication after delivery were categorized binomially as yes or no. Lastly, the respondents’ locations were geographically designated as the northern and southern parts of URR.


### 2.7. Data Analysis

The data were analyzed using SPSS version 25.0. A univariate analysis such as descriptive statistics was presented in frequency and percentage to identify the PNC determinants among women of reproductive age using their sociodemographic characteristics. The Pearson chi-square and/or Fisher’s exact test were used to identify the association of PNC utilization with independent variables. Study variables with ap value <0.15 at bivariate analysis level were considered for inclusion into the logistic regression model. Adjusted odds ratios (aORs) and 95% confidence intervals were computed, while p value <0.05 was set for declaration of statistical significance.


### 2.8. Ethical Consideration

An approved ethical clearance was sought from the Gambia College Research Committee (Ref. no. PH08010/2019) before proceeding with this study. Moreover, permission was also sought from the regional authorities such as the Office of the Governor, Regional Health Directorate, and the village Alkalos with their respective village development committees. At the village level, heads of households were informed of the study, and each study participant had to sign or thumbprint the consent form prior to their participation. Women were recruited voluntarily and reserved the right to stop or withdraw from the study at any stage.


## 2.1. Study Area

The study was carried out in the Upper River Region, the seventh and the farthest region in The Gambia. The regional administrative headquarter is located in Basse Mansajang Kunda, about 300 km from Banjul, the country’s capital city. It has a population of more than 200, 000 persons with a population density of 115 persons per square kilometer, and it represents nearly 13% of The Gambia’s population [21]. The region is administered by a Regional Governor and is further divided into seven districts such as Fulladu East, Jimara, Kantora, Sandu, Wuli East, Wuli West, and Tumana, each headed by a District Chief. Furthermore, the region is divided into the northern and southern sides by the river Gambia and has a land size of 20695 km2 [21]. The region has a district hospital, a major health center, 8 minor health centres, and 2 private clinics. URR also has a total of 17 Primary Health Care (PHC) key villages with 110 non-PHC villages. Moreover, the region has seventy-one reproductive child health outreach clinics providing reproductive, maternal, neonatal, adolescent, and child health services [22]. Conversely, URR has recorded 99.3% antenatal visit coverage, 75% facility delivery, and PNC coverage of 18%, which is low [19]. This has created a vacuum in the output of the health service delivery as postnatal care is an important indicator in maternal and newborn health. The study was carried out in January 2020.


## 2.2. Study Design and Population

A community-based cross-sectional study design was used to collect quantitative data from women of childbearing age. Women residing in those communities during their last pregnancy and who had a history of childbirth within the last twelve months before the fieldwork were included in the study. On the other side, those who were away during the last 12 months preceding the study were excluded.


## 2.3. Sample Size Determination and Selection of Participants

The study sample size was calculated using the Cochrane formula as shown below; a postnatal visit prevalence of 18% in the Upper River Region was adapted from the multicluster indicator survey of 2018 [19].(1)n=pqz∝/2e2.At 95% confidence interval,z-value of alpha is (z = 1.96), p represents the prevalence of postnatal visits from the adapted survey p=0.18, while q is expressed as 1−p (q = 0.776), e represents the margin of error expressed as (d = 0.05), and the total sample size of n = 227. However, the sample size was adjusted to 265 to improve the power of the study.A multistage sampling method was used for the study; firstly, a simple random sampling (SRS) was used to select four districts (two districts from both the northern and southern parts of the region). Secondly, an SRS was used to select three villages from each, while a proportionate sampling was used to compute for each selected village. Thirdly, at the village level, the taxpayers’ list was collected from the Alkalo to select households’ heads randomly, and finally, participants were selected through randomization. Data collectors systematically move to the next household when the selected household has no legible participants.


## 2.4. Data Collection Tools

A pretested, close-ended-structured questionnaire written in English and translated into three local spoken languages: Mandinka, Fula, and Sarahule was used. Women of childbearing age were interviewed in their local language by trained research assistants from the School of Public Health, Gambia College. Data was collected through face-to-face interviews to elicited information on women’s PNC uptake and sociodemographic characteristics. Participants were interviewed in their respective local languages (Fula, Mandinka, and Sarahule) by trained research assistants.


## 2.5. Study Variables

### 2.5.1. Outcome Variable

Postnatal care served as a dependent variable in this study. Women who had given birth within a year before the study were asked if “they have attended PNC in their last delivery.” If the woman responded to have received PNC, she was coded as Yes = 1, and if she did not receive PNC, coded as No = 0.


## 2.5.1. Outcome Variable

Postnatal care served as a dependent variable in this study. Women who had given birth within a year before the study were asked if “they have attended PNC in their last delivery.” If the woman responded to have received PNC, she was coded as Yes = 1, and if she did not receive PNC, coded as No = 0.


## 2.6. Explanatory Variables

A total of thirteen sociodemographic characters of reproductive-age women were considered as independent variables for this study. These included age categorized as 25 years and below, 26 to 35 years and ≥36 years; marital status: unmarried/single mother, in-union/married, and divorced; educational level: no formal education, primary, secondary, tertiary, and Arabic; occupation: not working, housewife, farmer and businesswoman; family type: nuclear, extended, and single parenting; average monthly income: <D1500 ($29) and ≥D1500 (>$29) [23]; number of pregnancies: ≤4 pregnancies and ≥5 pregnancies; and number of children: ≤3 children and ≥4 children. The respondent antenatal care attendance, place of last delivery, and complication after delivery were categorized binomially as yes or no. Lastly, the respondents’ locations were geographically designated as the northern and southern parts of URR.


## 2.7. Data Analysis

The data were analyzed using SPSS version 25.0. A univariate analysis such as descriptive statistics was presented in frequency and percentage to identify the PNC determinants among women of reproductive age using their sociodemographic characteristics. The Pearson chi-square and/or Fisher’s exact test were used to identify the association of PNC utilization with independent variables. Study variables with ap value <0.15 at bivariate analysis level were considered for inclusion into the logistic regression model. Adjusted odds ratios (aORs) and 95% confidence intervals were computed, while p value <0.05 was set for declaration of statistical significance.


## 2.8. Ethical Consideration

An approved ethical clearance was sought from the Gambia College Research Committee (Ref. no. PH08010/2019) before proceeding with this study. Moreover, permission was also sought from the regional authorities such as the Office of the Governor, Regional Health Directorate, and the village Alkalos with their respective village development committees. At the village level, heads of households were informed of the study, and each study participant had to sign or thumbprint the consent form prior to their participation. Women were recruited voluntarily and reserved the right to stop or withdraw from the study at any stage.


## 3. Results

### 3.1. Sociodemographic and Related Characteristics

A total of 265 reproductive-age women were recruited for this study with a response rate of 100%. About half of women were 26 to 35 years of age with a mean age of 27.5 years and standard deviation of ±6.0. The majority of the women (95%) were married, and almost half of these women had no formal education. Slightly more than one-third of these women reported being farmers. At the household level, 80% were from the extended family system, while Mandinkas formed the majority at 78.1%. A little above half of these women (55.1%) earned less than 1500 ($29) per month. The following variables were reported to be statistically associated with PNC service utilization: women’s occupation, location, number of pregnancies, attended ANC in last pregnancy, current uptake of family planning, and had complication(s) in last labor as shown in Table1.Table 1
Sociodemographic and related characteristics of reproductive age women in URR, Gambia.
Variablesn (%)Postnatal care for motherP valueNo,n (%)Yes,n (%)Age of respondents0.78525 and below110 (41.5)11 (10.0)99 (90.0)26–35132 (49.8)14 (10.6)118 (89.4)36 and above23 (8.7)1 (4.3)22 (95.7)Marital status0.882Single9 (3.4)1 (11.1)8 (88.9)Married251 (94.7)25 (10.0)226 (90.0)Divorced5 (1.9)0 (0.0)5 (100.0)Educational level0.551Nonformal education130 (49.1)11 (8.5)119 (91.5)Primary52 (19.6)8 (15.4)44 (84.6)Secondary40 (15.1)2 (5.0)38 (95.0)Tertiary4 (1.5)1 (25.0)3 (75.0)Arabic39 (14.7)4 (10.3)35 (89.7)Occupation of respondent0.001∗Not working53 (20.0)3 (5.7)50 (94.3)Housewife91 (34.3)4 (4.4)87 (95.6)Farmer104 (39.2)18 (17.3)86 (82.7)Business17 (6.4)1 (5.9)16 (94.1)Family types0.117Nuclear46 (17.4)1 (2.2)45 (97.8)Extended212 (80.0)25 (11.8)187 (88.2)Single parent7 (2.6)0 (0.0)7 (100.0)Ethnicity0.223Mandinka207 (78.1)24 (11.6)183 (88.4)Fula43 (16.2)2 (4.7)41 (95.3)Serahule15 (5.7)0 (0.0)15 (100.0)Location in URR0.049∗Northern region104 (39.2)13 (12.5)91 (87.5)Southern region161 (60.8)13 (8.1)148 (91.9)Average monthly income (in dalasi)0.257<1500146 (55.1)13 (8.9)133(91.1)≥1500119 (44.9)13 (10.9)106 (89.1)Number of pregnancies0.013∗4 and below148 (55.8)12 (8.1)136 (91.9)5 and above117 (44.2)14 (12.0)103 (88.0)Number of children alive0.0893 and below174 (65.7)19 (10.9)155 (89.1)4 and above91 (34.3)7 (7.7)84 (92.3)Attended ANC in last pregnancy<0.001∗Yes260 (98.1)21 (8.6)224 (91.4)No5 (1.9)5 (25.0)15 (75.0)Place of last delivery0.218Home51 (19.2)9 (17.6)42 (82.4)Health facility214 (80.8)17 (7.9)197 (92.1)Currently using family planning0.008∗No198 (74.7)25 (12.6)173 (87.4)Yes67 (25.3)1 (1.5)66 (98.5)Had complication(s) in last labor0.014∗Yes123 (46.4)10 (8.1)113 (91.9)No142 (53.6)16 (11.3)126 (88.7)∗Statistical significance at p<0.05.


### 3.2. Postnatal Care Services and Its Determinants

The study revealed that 90% of women utilize PNC services in the rural settings of URR, The Gambia, as shown in Figure1.Figure 1
Postnatal care for mothers in URR, Gambia.A logistic regression analysis results revealed that women’s odds ratio of utilizing PNC increases by 4.6 times (aOR = 4.649, 95% CI: 1.518–14.243) for a unit increase in the number of pregnancies a woman has after controlling for location, ANC attendance, current use of FP, number of children alive, occupation, family types, and last complication in labor. For a unit increase in the women’s number of children alive, the odds ratio of their PNC utilization decreases by 76.1% (aOR = 0.239, 95% CI: 0.071–0.810) after controlling for confounders: location, ANC attendance, current use of FP, number of pregnancies, occupation, family types, and last complication in labor, as shown in Table2. Women who attended ANC services in their last pregnancy were 10.8 times (aOR = 10.795, 95% CI: 1.025–113.694) more likely to utilize PNC as compared to those who do not attend ANC in their last pregnancy after controlling for location, current use of FP, number of pregnancies, occupation, family types, children alive, and complication in last labor. Women who were currently using FP were 10.7 times (aOR = 10.708, 95% CI: 1.379–83.152) more likely to utilize PNC compared to those who were not using FP after controlling for confounders.Table 2
Factors associated with postnatal care for mothers in URR, Gambia.
95% CI for aORp valuePredictorsaORLowerUpperNumber of pregnancies4.6491.51814.2430.007∗Number of children alive0.2390.0710.810.022∗Attended ANC in last pregnancyYes10.7951.025113.6940.048∗No (ref)1Currently using FPYes10.7081.37983.1520.023∗No (ref)1Ref = reference category; aOR = adjusted odds ratio; CI = confidence interval; and∗ = statistical significance at p<0.05. The model was adjusted for occupation, family types, location, number of pregnancies, number children alive, attending ANC in last pregnancy, current FP uptake, and having complication in last pregnancy.


## 3.1. Sociodemographic and Related Characteristics

A total of 265 reproductive-age women were recruited for this study with a response rate of 100%. About half of women were 26 to 35 years of age with a mean age of 27.5 years and standard deviation of ±6.0. The majority of the women (95%) were married, and almost half of these women had no formal education. Slightly more than one-third of these women reported being farmers. At the household level, 80% were from the extended family system, while Mandinkas formed the majority at 78.1%. A little above half of these women (55.1%) earned less than 1500 ($29) per month. The following variables were reported to be statistically associated with PNC service utilization: women’s occupation, location, number of pregnancies, attended ANC in last pregnancy, current uptake of family planning, and had complication(s) in last labor as shown in Table1.Table 1
Sociodemographic and related characteristics of reproductive age women in URR, Gambia.
Variablesn (%)Postnatal care for motherP valueNo,n (%)Yes,n (%)Age of respondents0.78525 and below110 (41.5)11 (10.0)99 (90.0)26–35132 (49.8)14 (10.6)118 (89.4)36 and above23 (8.7)1 (4.3)22 (95.7)Marital status0.882Single9 (3.4)1 (11.1)8 (88.9)Married251 (94.7)25 (10.0)226 (90.0)Divorced5 (1.9)0 (0.0)5 (100.0)Educational level0.551Nonformal education130 (49.1)11 (8.5)119 (91.5)Primary52 (19.6)8 (15.4)44 (84.6)Secondary40 (15.1)2 (5.0)38 (95.0)Tertiary4 (1.5)1 (25.0)3 (75.0)Arabic39 (14.7)4 (10.3)35 (89.7)Occupation of respondent0.001∗Not working53 (20.0)3 (5.7)50 (94.3)Housewife91 (34.3)4 (4.4)87 (95.6)Farmer104 (39.2)18 (17.3)86 (82.7)Business17 (6.4)1 (5.9)16 (94.1)Family types0.117Nuclear46 (17.4)1 (2.2)45 (97.8)Extended212 (80.0)25 (11.8)187 (88.2)Single parent7 (2.6)0 (0.0)7 (100.0)Ethnicity0.223Mandinka207 (78.1)24 (11.6)183 (88.4)Fula43 (16.2)2 (4.7)41 (95.3)Serahule15 (5.7)0 (0.0)15 (100.0)Location in URR0.049∗Northern region104 (39.2)13 (12.5)91 (87.5)Southern region161 (60.8)13 (8.1)148 (91.9)Average monthly income (in dalasi)0.257<1500146 (55.1)13 (8.9)133(91.1)≥1500119 (44.9)13 (10.9)106 (89.1)Number of pregnancies0.013∗4 and below148 (55.8)12 (8.1)136 (91.9)5 and above117 (44.2)14 (12.0)103 (88.0)Number of children alive0.0893 and below174 (65.7)19 (10.9)155 (89.1)4 and above91 (34.3)7 (7.7)84 (92.3)Attended ANC in last pregnancy<0.001∗Yes260 (98.1)21 (8.6)224 (91.4)No5 (1.9)5 (25.0)15 (75.0)Place of last delivery0.218Home51 (19.2)9 (17.6)42 (82.4)Health facility214 (80.8)17 (7.9)197 (92.1)Currently using family planning0.008∗No198 (74.7)25 (12.6)173 (87.4)Yes67 (25.3)1 (1.5)66 (98.5)Had complication(s) in last labor0.014∗Yes123 (46.4)10 (8.1)113 (91.9)No142 (53.6)16 (11.3)126 (88.7)∗Statistical significance at p<0.05.


## 3.2. Postnatal Care Services and Its Determinants

The study revealed that 90% of women utilize PNC services in the rural settings of URR, The Gambia, as shown in Figure1.Figure 1
Postnatal care for mothers in URR, Gambia.A logistic regression analysis results revealed that women’s odds ratio of utilizing PNC increases by 4.6 times (aOR = 4.649, 95% CI: 1.518–14.243) for a unit increase in the number of pregnancies a woman has after controlling for location, ANC attendance, current use of FP, number of children alive, occupation, family types, and last complication in labor. For a unit increase in the women’s number of children alive, the odds ratio of their PNC utilization decreases by 76.1% (aOR = 0.239, 95% CI: 0.071–0.810) after controlling for confounders: location, ANC attendance, current use of FP, number of pregnancies, occupation, family types, and last complication in labor, as shown in Table2. Women who attended ANC services in their last pregnancy were 10.8 times (aOR = 10.795, 95% CI: 1.025–113.694) more likely to utilize PNC as compared to those who do not attend ANC in their last pregnancy after controlling for location, current use of FP, number of pregnancies, occupation, family types, children alive, and complication in last labor. Women who were currently using FP were 10.7 times (aOR = 10.708, 95% CI: 1.379–83.152) more likely to utilize PNC compared to those who were not using FP after controlling for confounders.Table 2
Factors associated with postnatal care for mothers in URR, Gambia.
95% CI for aORp valuePredictorsaORLowerUpperNumber of pregnancies4.6491.51814.2430.007∗Number of children alive0.2390.0710.810.022∗Attended ANC in last pregnancyYes10.7951.025113.6940.048∗No (ref)1Currently using FPYes10.7081.37983.1520.023∗No (ref)1Ref = reference category; aOR = adjusted odds ratio; CI = confidence interval; and∗ = statistical significance at p<0.05. The model was adjusted for occupation, family types, location, number of pregnancies, number children alive, attending ANC in last pregnancy, current FP uptake, and having complication in last pregnancy.


## 4. Discussion

The study assessed the determinants of PNC services among women of childbearing age in rural communities of URR, Gambia. The findings from the study revealed that 90% of the respondents had attended postnatal care in their last delivery. This finding is higher than other studies including DHS 2020, MICs 2019, and [19, 20, 24]. The high prevalence of PNC among women could be attributed to the interventions of the health services through efficient and effective RCH services and programme intervention of Maternal and Child Health Nutrition and Reproduction Project (MCHNRP). PNC is an important indicator for both the health services and the project as financial incentives are provided for health facilities as result-based financing from the scores of their indicators.Some of the critical determinants of PNC utilization were women’s ANC attendance during last pregnancy and current use of FP. This finding aligns with several studies that showed a significant association between ANC visits and PNC utilization [20, 25–27]. Traditionally, one of the most significant benefits of ANC has been the health education or counseling provided to women during their visits. This type of health education or counseling contributes to women’s increased utilization of maternal health care. Women are taught good healthcare-seeking behaviors during counseling in order to reduce preventable maternal and infant death. Indeed, women who do not receive counseling or health education during their prenatal care sessions would be unaware of the relevance and benefits of PNC [28]. As a result, it is unsurprising that women who had no or few ANC visits during their previous pregnancies experienced a large decrease in PNC in rural Gambia. Improved prenatal care visits have been linked to an increased likelihood of PNC [29, 30]. This may account for the association between PNC and previous attendance of ANC during last pregnancies.Additionally, the study identified number of pregnancies and number of children alive to be significantly associated with PNC in the region. Women’s odds of utilizing PNC increase with their number of pregnancies, which is in agreement with a study done in Ghana that indicated that 80% of women who had given birth two times attended PNC [31]. Furthermore, a study in sub-Saharan Africa has identified parity as a significant factor in PNC utilization; thus, PNC visits decrease with parity increases [26]. Individuals with more awareness are more enabled to embrace PNCs. Therefore, women with experience in pregnancies have increased tendencies of utilizing PNC services, especially in rural settings. Furthermore, we also identified that number of children alive to a woman has a reduced influence on PNC utilization. These could be attributed to structural and systemic factors, such as the attitude of healthcare workers towards maternal women, deplorable conditions of healthcare services at rural facilities, and quality of care, especially in labor and complication management. These findings agreed with results from previous studies [7, 20, 28, 32–35].


### 4.1. Strength and Limitation

This is among the few studies done in rural areas of Gambia to assess the prevalence and determinants of PNC in rural context. The exact PNC services used by reproductive-age women, infants and children, on the other hand, were not collected. Additionally, this study established merely a relationship, not causality.


## 4.1. Strength and Limitation

This is among the few studies done in rural areas of Gambia to assess the prevalence and determinants of PNC in rural context. The exact PNC services used by reproductive-age women, infants and children, on the other hand, were not collected. Additionally, this study established merely a relationship, not causality.


## 5. Conclusion

The study showed a considerable high proportion of PNC utilization. It further identified women’s attendance of ANC services, current uptake of FP, women’s number of pregnancies, and number of children alive as associated factors with PNC in rural Gambia. On the basis of these results, it is advised that additional research be performed to ascertain the reasons for using or not using PNC services. Strengthening women empowerment and designing responsive ANC programs especially for rural women to improve PNC services are required.



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*Source: 3558676-2022-01-04.xml*