# Husband Support Rises Women’s Awareness of Preconception Care in Northern Ethiopia

Authors: Mulugeta Woldu Abrha; Tsrity Tadese Asresu; Haftom Gebrehiwot Weldearegay
Journal: The Scientific World Journal
 (2020)

---

## Abstract

Background. Preconception care (PCC) aims to improve pregnancy and health outcomes of mothers and their offspring. However, there is no adequate evidence of awareness on preconception care in Ethiopia. Therefore, the present study was performed to assess the level of awareness and associated factors of preconception care among currently delivered mothers. Method. A community-based cross-sectional study was conducted among 561 mothers in Northern Ethiopia. Data were collected using a pretested, structured questionnaire. Odds ratio presented with 95% confidence interval, and a p value <0.25 at bivariable and p value <0.01 at multivariable logistic regression were used to declare statistical significance. Results. 39.0% of mothers were aware of preconception care. Awareness of preconception care was lower among mothers who did not have joint plan discussion with their partner (AOR = 0.15; 95% CI (0.08, 0.28)); did not have a history of adverse pregnancy outcome (AOR = 0.45; 95% CI (0.25, 0.83)), and did not receive husband support (AOR = 0.10; 95% CI (0.05, 0.19)). Conclusion. Women’s awareness of preconception care remains low. Joint plan discussion with the partner, previous history of adverse pregnancy outcome, and husband support were statistically significant predictors of awareness of preconception care. Thus, informing and sensitizing women and advocating husband support on preconception care are needed.


---

## Body

## 1. Introduction

Today, preconception care (PCC) is internationally recognized, and obstetric care should increasingly focus on prevention of adverse pregnancy outcomes [1]. The preconception period provides an opportunity to alter unhealthy behaviors in time, which could have a lasting positive effect on the (future) health outcomes of both the mother and child [2].Globally, PCC is widely recognized as a way to optimize women’s health and improve pregnancy outcomes [3]. Although there is a growing body of evidence supporting that prepregnancy is a critical period for both maternal and fetal health, preconception care is inconsistent and has not become part of routine practice in all settings. The practice of preconception care is almost nonexistent in developing countries including Ethiopia [4].Furthermore, preconception care is a neglected but a critical component of maternal and a child health care service as it is a cost-effective first-line preventive strategy for birth defects and other pregnancy-related complications. The early years of a child’s life are critical in shaping future health and wider outcomes. National policy now supports a shift in focus to prevention and early intervention in the earliest years, from prebirth onwards. The early year’s framework sets out the need for change from crisis management to prevention, early identification of need, and early intervention through progressive universalism. It highlights the value of healthy pregnancies, positive parenting, and home-learning environments [3, 5–7].Thus, in settings like Ethiopia, where there are imprecise data on awareness of preconception care, promotion of preconception care among the reproductive age group women is important to boost maternal health-care services and to reduce pregnancy-related impediments. Therefore, this study sought to determine the level of women’s awareness and associated factors of preconception-care service in Northern Ethiopia. So, the findings will contribute to the design of effective preventive strategies to grab the rising burden of adverse pregnancy and birth outcomes and flourish programs for better reproductive health services.


## 2. Materials and Methods

### 2.1. Study Design, Setting, and Participants

A community-based cross-sectional study was conducted in Mekelle City, which is the capital city of Tigray Regional state, Northern Ethiopia, from March 15 to April 30, 2018.The source of population was all delivered mothers preceding the study in Mekelle City and all recently delivered mothers in selected ketenas of Mekelle city were the study population.


### 2.2. Sampling Technique and Procedure

The sample size was calculated using a single population formula assuming proportion (P) of preconception care experience of 38.2% conducted at West Shewa, Oromia, Ethiopia [8], a confidence level (CI) of 95%, marginal error (d) 5% and 5% nonresponse, and considering a design effect of 1.5. Considering all the aforementioned assumptions, the abovementioned 564 mothers were included. A multistage cluster sampling technique was employed; in the first stage, three from seven subcities and in the second stage, five tabia (the unit of administration consists of 3 and above or 10–15,000 population) from fourteen tabias (the unit of administration consists of 3 and above or 10–15,000 population) of the selected subcities were randomly selected, and then each two of their respective ketenas (the smallest unit of administration consists of a minimum of 4,000 population, but sometimes depends on the geographical location.) according to the currently used administration were selected again by a simple random sampling technique (SRS).


### 2.3. Data Collection Instrument and Quality Management

The data were collected using a face-to-face interview. Prior to data collection, reliability test of the instrument was performed, and it had strong internal consistency (α = 0.76) among a subsample of participants (n = 30). Daily supervision, spot checking, and reviewing the completeness of the questionnaire were conducted to keep the quality of data.


### 2.4. Statistical Analyses

Data were coded and entered into EPi-Info version 7 software. Descriptive analysis was performed. Age was reported as mean ± Standard Deviation (SD), after the Kolmogorov–Smirnov goodness-of-fit test was applied for determining whether the data derived from a normally distributed population. Binary logistic regression and multivariable logistic regression models were used to obtain crude and adjusted odds ratios for the outcome variable, using the SPSS 20™-statistical package. The statistical significance was set atp<0.01.


### 2.5. Ethical Consideration

Ethical clearance was obtained from Mekelle University, college of health sciences; Ethical Review Board. An official letter of cooperation was granted by the Tigray Regional Health Bureau, and written informed consent was warranted from all participants.


## 2.1. Study Design, Setting, and Participants

A community-based cross-sectional study was conducted in Mekelle City, which is the capital city of Tigray Regional state, Northern Ethiopia, from March 15 to April 30, 2018.The source of population was all delivered mothers preceding the study in Mekelle City and all recently delivered mothers in selected ketenas of Mekelle city were the study population.


## 2.2. Sampling Technique and Procedure

The sample size was calculated using a single population formula assuming proportion (P) of preconception care experience of 38.2% conducted at West Shewa, Oromia, Ethiopia [8], a confidence level (CI) of 95%, marginal error (d) 5% and 5% nonresponse, and considering a design effect of 1.5. Considering all the aforementioned assumptions, the abovementioned 564 mothers were included. A multistage cluster sampling technique was employed; in the first stage, three from seven subcities and in the second stage, five tabia (the unit of administration consists of 3 and above or 10–15,000 population) from fourteen tabias (the unit of administration consists of 3 and above or 10–15,000 population) of the selected subcities were randomly selected, and then each two of their respective ketenas (the smallest unit of administration consists of a minimum of 4,000 population, but sometimes depends on the geographical location.) according to the currently used administration were selected again by a simple random sampling technique (SRS).


## 2.3. Data Collection Instrument and Quality Management

The data were collected using a face-to-face interview. Prior to data collection, reliability test of the instrument was performed, and it had strong internal consistency (α = 0.76) among a subsample of participants (n = 30). Daily supervision, spot checking, and reviewing the completeness of the questionnaire were conducted to keep the quality of data.


## 2.4. Statistical Analyses

Data were coded and entered into EPi-Info version 7 software. Descriptive analysis was performed. Age was reported as mean ± Standard Deviation (SD), after the Kolmogorov–Smirnov goodness-of-fit test was applied for determining whether the data derived from a normally distributed population. Binary logistic regression and multivariable logistic regression models were used to obtain crude and adjusted odds ratios for the outcome variable, using the SPSS 20™-statistical package. The statistical significance was set atp<0.01.


## 2.5. Ethical Consideration

Ethical clearance was obtained from Mekelle University, college of health sciences; Ethical Review Board. An official letter of cooperation was granted by the Tigray Regional Health Bureau, and written informed consent was warranted from all participants.


## 3. Results

### 3.1. Sociodemographic Characteristics

Out of the total five hundred and sixty-four mothers who delivered within the last one year, 561 were included in the study. Of the 561 participants, 277 (49.4%) were within the age group between 25 and 34 years and ranged from a minimum of 18 years to a maximum of 43 years. The mean age of the respondents was 31.22 years (SD = 6.04).Four out of ten mothers were housewives, and three-fourth of the participants were married. Regarding participants’ education, 191 (34%) were from secondary school (Table1).Table 1
Sociodemographic characteristics of mothers in North Ethiopia, 2018 (N = 561).
Variable
Frequency
Percent (%)
Age
15–24
88
15.7
25–34
277
49.4
35–49
196
34.9
Mother’s education
Illiterate
74
13.2
Read and write
73
13.0
Elementary school
127
22.6
Secondary school
191
34.0
College/university
96
17.1
Marital status
Married
438
78.1
Single/never married
62
11.1
Divorced
53
9.4
Widowed
8
1.4
Occupation
House wife
232
41.4
Daily worker
94
16.8
Government employee
104
18.5
Private business
129
23.0
Other (student)
2
0.4
Household income in ETB
Less than 500
132
23.5
501–1000
207
36.9
1001–2000
151
26.9
2001 and above
71
12.7


### 3.2. Reproductive Health Characteristics

About two-third of the participants had experienced two to four pregnancies. Concerning parity, three-fourth (n = 423) of the participants were multipara. Three hundred and forty-one out of 561 respondents had a history of family planning use. On the subject of previous adverse pregnancy or birth outcome, two out of ten, 118 (21%), of them had a history of adverse pregnancy/birth outcome. Thirty-nine (7.0%) of the respondents had a chronic health problem. Regarding husband support on the preconception care, only 159 (28.3%) of the participants had received husband support during the preconception period and 167 (29.8%) of the subjects have had a joint plan discussion with their partner about preconception care (Table 2).Table 2
Reproductive health characteristics of mothers in North Ethiopia, 2018 (N = 561).
Variable
Frequency
Percent
Gravidity
1 pregnancy
113
20.1
2–4 pregnancies
379
67.6
≥5 pregnancies
69
12.3
Parity
Primipara (1 pregnancy)
138
24.6
Multipara (2 and above pregnancies)
423
75.4
Previous use of family planning
Yes
341
60.8
No
220
39.2
Previous adverse pregnancy/birth outcome
Yes
118
21.0
No
443
79.0
Type of adverse pregnancy outcome (n = 118)
Congenital anomalies
23
19.5
Low birth weight
17
14.4
Preterm
10
8.5
Abortion
67
56.8
Still birth
22
18.6
Neonatal death
7
5.9
Infection
13
11.0
Husband support
Yes
159
28.3
No
402
71.7
Joint plan discussion with partner
Yes
167
29.8
No
394
70.2
Any chronic health problem
Yes
39
7.0
No
522
93.0
Type of chronic health problem (n = 39)
HIV/AIDS
14
35.9
Hypertension
14
35.9
Diabetics mellitus
5
12.8
Others∗
8
20.5
∗Epilepsy, tuberculosis, and anemia.


### 3.3. Awareness of Preconception Care

Two hundred and nineteen (39.0%) of the participants were aware of preconception care (Figure1). According to the source of information, majority of the mothers have heard about PCC from physicians, 103 (47.0%), and twenty-seven (12.3%) of them have heard from health extension workers. Six out of ten mothers were aware of the difference between antenatal care and preconception care services. Moreover, about two-thirds, 153 (69.7%), of mothers were aware of the time a women should start the uptake of preconception care (Table 3).Figure 1
Awareness of mothers on preconception care in Mekelle, North Ethiopia, 2018.Table 3
Awareness on preconception care among mothers in North Ethiopia, 2018 (N = 561).
Variables
Frequency
Percent
Source of information (n = 219)
Physician
103
47.0
Nurse/midwife
81
37.0
Health extension worker
27
12.3
Peer/family
30
13.7
Mass media
62
28.3
Awareness regarding the difference between ANC and PCC (n = 219)
Yes
137
62.6
No
82
37.4
Awareness of the time a women should start the uptake of preconception care (n = 219)
At least one month before conception
153
69.7
During pregnancy
21
9.6
During labor
15
6.8
Do not know
30
13.7Furthermore, from the WHO preconception care package components, about three-fourth, 168 (76.7%), of the mothers were aware of screening and treatment of infectious disease, whereas one out of ten, 30 (13.7%), were aware of optimizing psychological health (Figure2).Figure 2
Level of awareness of mothers on the World Health Organization components of preconception care, 2018.


### 3.4. Factors Associated with Awareness of Preconception Care Service

In bivariable analysis, maternal age, educational status, occupation, household income, history of family planning use, experience of adverse pregnancy or birth outcome, joint plan discussion with their partner, and husband support were associated with awareness of preconception care. Finally, multivariable analysis showed that experience of adverse pregnancy or birth outcome, joint plan discussion with their partner, and husband support were independently affecting maternal awareness of preconception care service.Mothers who had not experienced adverse birth outcomes were 55% times (AOR = 0.45; 95% CI (0.25, 0.83)) less likely to be aware of preconception care service than mothers who had had a history of adverse pregnancy or birth outcome.There were lower odds (AOR = 0.15; 95% CI (0.08, 0.28)) of preconception care service awareness among mothers who have not had joint plan discussion with their partner as compared with mothers who had had joint plan discussion with their partner.Furthermore, this study revealed that experience of husband support has a significant association on awareness of preconception care, which means mothers who had not received husband support were 90% times (AOR = 0.10; 95% CI (0.05, 0.19)) less likely to be aware of preconception care service as compared with mothers who had received support from their husbands (Table4).Table 4
Factors of women’s awareness on preconception care.
Variable
Awareness on preconception care
Odds ratio and 95% CI
Aware (%)
Not aware (%)
Crude
Adjusted
Age (in years)
15–24
45 (100.0%)
43 (48.9%)
3.14 (1.84–5.33)∗
25–34
125 (45.1%)
152 (54.9%)
2.47 (1.65–3.68)∗
35–49
49 (25.0%)
147 (75.0%)
1
NS
Mother’s education
No education
39 (26.5%)
108 (73.5%)
0.23 (0.13–0.39)
Primary education
47 (37.0%)
80 (63.0%)
0.37 (0.21–0.64)
Secondary education
74 (38.4%)
117 (61.3%)
0.40 (0.24–0.66)
More than secondary
59 (61.5%)
37 (38.5%)
1
NS
Household income in ETB
<500
62 (47.0%)
70 (53.0%)
0.49 (0.46–1.45)
501–1000
62 (30.0%)
145 (70.0%)
0.39 (0.23–0.68)∗
1001–2000
58 (38.4%)
93 (61.6%)
0.57 (0.32–1.01)
≥2001
37 (52.1%)
34 (47.95%)
1
NS
Parity
Primipara (1 pregnancy)
52 (37.7%)
86 (62.3)
0.93 (0.62–1.38)
Multipara (2 and above)
167 (39.5%)
256 (60.5%)
1
NS
Gravidity
One pregnancy
43 (38.1%)
70 (61.9%)
1.51 (0.79–2.87)
2–4 pregnancies
156 (41.2%)
223 (58.5%)
1.71 (0.98–2.99)
5 and above pregnancies
20 (29%)
49 (71%)
1
NS
Previous family planning use
No
65 (29.5%)
155 (70.5%)
0.51 (0.36–0.73)∗
Yes
154 (45.2%)
187 (54.8%)
1
NS
Previous adverse pregnancy outcome
No
284 (64.1%)
159 (35.9%)
0.54 (0.36–0.82)∗
0.45 (0.25–0.83)
∗
∗
Yes
58 (49.2%)
60 (50.8%)
1
1
Having joint plan discussion with partner
No
79 (20.1%)
315 (79.9%)
0.05 (0.03–0.08)∗
0.15 (0.08–0.28)
∗
∗
Yes
140 (83.8%)
27 (16.2%)
1
1
Husband support
No
82 (20.4%)
320 (79.6%)
0.04 (0.03–0.07)∗
0.10 (0.05–0.19)
∗
∗
Yes
137 (86.2%)
22 (13.8%)
1
1
Having any chronic diseases
No
191 (36.6%)
331 (63.4%)
0.23 (0.11–0.47)
Yes
28 (71.8%)
11 (28.2%)
1
NS
∗
p value; ∗p value < 0.05; ∗∗p value < 0.001, NS: nonsignificant.


## 3.1. Sociodemographic Characteristics

Out of the total five hundred and sixty-four mothers who delivered within the last one year, 561 were included in the study. Of the 561 participants, 277 (49.4%) were within the age group between 25 and 34 years and ranged from a minimum of 18 years to a maximum of 43 years. The mean age of the respondents was 31.22 years (SD = 6.04).Four out of ten mothers were housewives, and three-fourth of the participants were married. Regarding participants’ education, 191 (34%) were from secondary school (Table1).Table 1
Sociodemographic characteristics of mothers in North Ethiopia, 2018 (N = 561).
Variable
Frequency
Percent (%)
Age
15–24
88
15.7
25–34
277
49.4
35–49
196
34.9
Mother’s education
Illiterate
74
13.2
Read and write
73
13.0
Elementary school
127
22.6
Secondary school
191
34.0
College/university
96
17.1
Marital status
Married
438
78.1
Single/never married
62
11.1
Divorced
53
9.4
Widowed
8
1.4
Occupation
House wife
232
41.4
Daily worker
94
16.8
Government employee
104
18.5
Private business
129
23.0
Other (student)
2
0.4
Household income in ETB
Less than 500
132
23.5
501–1000
207
36.9
1001–2000
151
26.9
2001 and above
71
12.7


## 3.2. Reproductive Health Characteristics

About two-third of the participants had experienced two to four pregnancies. Concerning parity, three-fourth (n = 423) of the participants were multipara. Three hundred and forty-one out of 561 respondents had a history of family planning use. On the subject of previous adverse pregnancy or birth outcome, two out of ten, 118 (21%), of them had a history of adverse pregnancy/birth outcome. Thirty-nine (7.0%) of the respondents had a chronic health problem. Regarding husband support on the preconception care, only 159 (28.3%) of the participants had received husband support during the preconception period and 167 (29.8%) of the subjects have had a joint plan discussion with their partner about preconception care (Table 2).Table 2
Reproductive health characteristics of mothers in North Ethiopia, 2018 (N = 561).
Variable
Frequency
Percent
Gravidity
1 pregnancy
113
20.1
2–4 pregnancies
379
67.6
≥5 pregnancies
69
12.3
Parity
Primipara (1 pregnancy)
138
24.6
Multipara (2 and above pregnancies)
423
75.4
Previous use of family planning
Yes
341
60.8
No
220
39.2
Previous adverse pregnancy/birth outcome
Yes
118
21.0
No
443
79.0
Type of adverse pregnancy outcome (n = 118)
Congenital anomalies
23
19.5
Low birth weight
17
14.4
Preterm
10
8.5
Abortion
67
56.8
Still birth
22
18.6
Neonatal death
7
5.9
Infection
13
11.0
Husband support
Yes
159
28.3
No
402
71.7
Joint plan discussion with partner
Yes
167
29.8
No
394
70.2
Any chronic health problem
Yes
39
7.0
No
522
93.0
Type of chronic health problem (n = 39)
HIV/AIDS
14
35.9
Hypertension
14
35.9
Diabetics mellitus
5
12.8
Others∗
8
20.5
∗Epilepsy, tuberculosis, and anemia.


## 3.3. Awareness of Preconception Care

Two hundred and nineteen (39.0%) of the participants were aware of preconception care (Figure1). According to the source of information, majority of the mothers have heard about PCC from physicians, 103 (47.0%), and twenty-seven (12.3%) of them have heard from health extension workers. Six out of ten mothers were aware of the difference between antenatal care and preconception care services. Moreover, about two-thirds, 153 (69.7%), of mothers were aware of the time a women should start the uptake of preconception care (Table 3).Figure 1
Awareness of mothers on preconception care in Mekelle, North Ethiopia, 2018.Table 3
Awareness on preconception care among mothers in North Ethiopia, 2018 (N = 561).
Variables
Frequency
Percent
Source of information (n = 219)
Physician
103
47.0
Nurse/midwife
81
37.0
Health extension worker
27
12.3
Peer/family
30
13.7
Mass media
62
28.3
Awareness regarding the difference between ANC and PCC (n = 219)
Yes
137
62.6
No
82
37.4
Awareness of the time a women should start the uptake of preconception care (n = 219)
At least one month before conception
153
69.7
During pregnancy
21
9.6
During labor
15
6.8
Do not know
30
13.7Furthermore, from the WHO preconception care package components, about three-fourth, 168 (76.7%), of the mothers were aware of screening and treatment of infectious disease, whereas one out of ten, 30 (13.7%), were aware of optimizing psychological health (Figure2).Figure 2
Level of awareness of mothers on the World Health Organization components of preconception care, 2018.


## 3.4. Factors Associated with Awareness of Preconception Care Service

In bivariable analysis, maternal age, educational status, occupation, household income, history of family planning use, experience of adverse pregnancy or birth outcome, joint plan discussion with their partner, and husband support were associated with awareness of preconception care. Finally, multivariable analysis showed that experience of adverse pregnancy or birth outcome, joint plan discussion with their partner, and husband support were independently affecting maternal awareness of preconception care service.Mothers who had not experienced adverse birth outcomes were 55% times (AOR = 0.45; 95% CI (0.25, 0.83)) less likely to be aware of preconception care service than mothers who had had a history of adverse pregnancy or birth outcome.There were lower odds (AOR = 0.15; 95% CI (0.08, 0.28)) of preconception care service awareness among mothers who have not had joint plan discussion with their partner as compared with mothers who had had joint plan discussion with their partner.Furthermore, this study revealed that experience of husband support has a significant association on awareness of preconception care, which means mothers who had not received husband support were 90% times (AOR = 0.10; 95% CI (0.05, 0.19)) less likely to be aware of preconception care service as compared with mothers who had received support from their husbands (Table4).Table 4
Factors of women’s awareness on preconception care.
Variable
Awareness on preconception care
Odds ratio and 95% CI
Aware (%)
Not aware (%)
Crude
Adjusted
Age (in years)
15–24
45 (100.0%)
43 (48.9%)
3.14 (1.84–5.33)∗
25–34
125 (45.1%)
152 (54.9%)
2.47 (1.65–3.68)∗
35–49
49 (25.0%)
147 (75.0%)
1
NS
Mother’s education
No education
39 (26.5%)
108 (73.5%)
0.23 (0.13–0.39)
Primary education
47 (37.0%)
80 (63.0%)
0.37 (0.21–0.64)
Secondary education
74 (38.4%)
117 (61.3%)
0.40 (0.24–0.66)
More than secondary
59 (61.5%)
37 (38.5%)
1
NS
Household income in ETB
<500
62 (47.0%)
70 (53.0%)
0.49 (0.46–1.45)
501–1000
62 (30.0%)
145 (70.0%)
0.39 (0.23–0.68)∗
1001–2000
58 (38.4%)
93 (61.6%)
0.57 (0.32–1.01)
≥2001
37 (52.1%)
34 (47.95%)
1
NS
Parity
Primipara (1 pregnancy)
52 (37.7%)
86 (62.3)
0.93 (0.62–1.38)
Multipara (2 and above)
167 (39.5%)
256 (60.5%)
1
NS
Gravidity
One pregnancy
43 (38.1%)
70 (61.9%)
1.51 (0.79–2.87)
2–4 pregnancies
156 (41.2%)
223 (58.5%)
1.71 (0.98–2.99)
5 and above pregnancies
20 (29%)
49 (71%)
1
NS
Previous family planning use
No
65 (29.5%)
155 (70.5%)
0.51 (0.36–0.73)∗
Yes
154 (45.2%)
187 (54.8%)
1
NS
Previous adverse pregnancy outcome
No
284 (64.1%)
159 (35.9%)
0.54 (0.36–0.82)∗
0.45 (0.25–0.83)
∗
∗
Yes
58 (49.2%)
60 (50.8%)
1
1
Having joint plan discussion with partner
No
79 (20.1%)
315 (79.9%)
0.05 (0.03–0.08)∗
0.15 (0.08–0.28)
∗
∗
Yes
140 (83.8%)
27 (16.2%)
1
1
Husband support
No
82 (20.4%)
320 (79.6%)
0.04 (0.03–0.07)∗
0.10 (0.05–0.19)
∗
∗
Yes
137 (86.2%)
22 (13.8%)
1
1
Having any chronic diseases
No
191 (36.6%)
331 (63.4%)
0.23 (0.11–0.47)
Yes
28 (71.8%)
11 (28.2%)
1
NS
∗
p value; ∗p value < 0.05; ∗∗p value < 0.001, NS: nonsignificant.


## 4. Discussion

Disseminating information concerning the services given during conception care will improve the maternal and child health in general, leading to positive reproductive outcome. PCC describes education that targets the preconception and early pregnancy periods and addresses optimizing current health status and relevant lifestyle behaviors. Therefore, this community-based cross-sectional study revealed that previous adverse pregnancy or birth outcome, having joint plan discussion with the partner, and husband support were the identified factors influencing awareness of preconception care among mothers who gave birth during the last one year in Mekelle town, North Ethiopia.This study revealed that there was low awareness level of respondents regarding preconception care. This is lower than the findings conducted in Jordan 50% [9] and Nigeria which revealed that 63.5% women had been aware of preconception care [10]. The possible reason for this discrepancy might be due to access of information, communication, and socioeconomic status difference which showed that there is a need to health education and promotion strategy to raise the low level of awareness in our setting. The main source of information of preconception care in this study were the health-care providers, mainly physicians, 47.0%, and this was in line with a survey carried out in Ontario where 78.4% claimed to deliver preconception care awareness by family physicians [11]. Fulfilling the right to health requires health systems to become fully responsive to women and girls, offering higher quality and more comprehensive and readily accessible services. Societies at large must end practices that critically endanger women’s health and well-being among them and all forms of gender-based violence. Sustainable Development Goal (SDG) number three puts a target to reduce the global maternal mortality ratio to less than 70 per 100,000 live births and newborn mortality at least as low as 12 per 1000 live births by the year 2030 [12]. Preconception care has a positive impact on reduction in mortality and decreases the risk of adverse health effects for the woman, fetus and neonates by optimizing the woman’s health and knowledge before planning and conceiving a pregnancy [13].The study also revealed that husband support is a significant predictor of preconception care awareness. This is in line with a study done in Bayelsa state, Nigeria, which showed that mothers who had received husband support are more likely to be aware of preconception care. In other words, mothers who had not received husband support were less likely to be aware of preconception care as compared with subjects who received support from their husbands [14]. However, most women kept their pregnancy intent private between their partner and themselves and rarely sought support from family and friends during the preconception period in developing countries [15].Another finding was that adverse pregnancy or birth outcome of the mother also has a significant positive association with the awareness of preconception care. This study corroborates the finding of a study conducted in Los Angeles, which indicated that a previous adverse infant outcome was associated with an increased odds of awareness and uptake of preconception care in the most recent pregnancy. This might be due to the fact that those mothers who had an experience of adverse pregnancy outcome or complication in their life were more concerned about the health status of their next pregnancy and getting a chance to consult health-care providers than those who have not had complications [16]. If a woman has appropriate awareness of preconception health and care, she can seek or easily attend the preconception care service. This can help her easily identify and effectively control the underlying risk condition that leads to abnormal birth outcome. Health-care providers participated in one research which reported poor awareness or knowledge of preconception health and care as a barrier to the uptake and delivery of preconception care [17]. Also, another study indicates that preterm birth during delivery was significantly lower among women who received preconception care compared with those who did not [18]. Hence, intervention should preferentially be conducted during the preconception period, and efforts should be made to recognize potentially treatable causes early to reduce the risk of adverse birth outcomes.Finally, this study noted that mothers who have not had joint plan discussion with their partners were 90% times less likely to be aware of the preconception care when compared with their counter parts. This study agrees with the guideline of Centers for Disease Control and Prevention and the U.S. Department of Health and Human Services indicating that a woman’s reproductive plan should be discussed with her own partner [19] and study conducted in Ethiopia [20] and Brazil [21]. This is because all women/couples have a reproductive life plan (e.g., whether or when they wish to have children and how they will maintain their reproductive health) and are influenced by interests of one to each other to reduce the occurrences of unplanned pregnancy and pregnancy-related complications. In addition, reproductive age women who planned their pregnancy are expected to know their healthiness correlated to maternal health care and may thus also have a better awareness of issues correlated to preconception care.


## 5. Conclusion

Findings of this research indicated that women’s level of awareness on preconception care remains low. Joint plan discussion with the partner, previous experience of adverse pregnancy or birth outcome, and husband support were statistically significant factors of awareness of preconception care. Thus, this finding suggests that there is a need to informing and sensitizing women of reproductive age and advocating husband’s support on preconception care to raise the level of awareness. There is a need for policymakers in health ministries in Ethiopia as well as relevant stakeholders to advocate for incorporation of preventive medical clinics comprising risk assessment, risk prevention, or modification for couples in general in the existing health-care delivery system.



---

*Source: 3415795-2020-01-22.xml*