Utilization of Preconception Care and Its Associated Factors among Pregnant Women of West Guji Zone,Oromia,Ethiopia,2021: A Community-Based Cross-Sectional Study

Abstract

Background

Regardless of its benefit in promoting maternal health, contributing to a healthy pregnancy, little is known concerning the prevalence of utilization of preconception care and its determinant in southern Ethiopia. Hence, this study designed to determine the prevalence of utilization of preconception care and contributing factors among pregnant women in West Guji Zone, Southern Ethiopia, 2021.

Methods

A community-based cross-sectional study was conducted among systematically selected 660 pregnant women in West Guji from June 15 to July 30, 2021. A pretested interviewer-administered structured questionnaire was used to collect the data. Data entry was done in Epidata version3.1 and exported to SPSS version 25 for analysis. Descriptive statistics were used to summarize the data. To identify the factors associated with the utilization of preconception care binary and multivariable logistic regression analysis was performed. Adjusted odds ratios (AOR) with 95% CI were estimated to assess the strength of associations and statistical significance was declared at a p-value < 0.05.

Results

One hundred-forty seven, 22.3% [95% CI (19.2, 25.4)] of mothers utilized preconception care. Being college and above [(AOR = 5.51 95%CI 91.43-21.19)] and secondary [(AOR = 4.46 95%CI (1.38-14.39)] in educational status, rich [(AOR = 4.23 95%CI (1.32-13.55)], having good knowledge about preconception care [AOR = 2.34 95%CI (1.05-5.28)], having a positive attitude towards preconception care [(AOR = 9.99 95%CI (4.25-23.48)] and deciding with her husband regarding maternal health services [(AOR = 4.71 95%CI (1.91-11.56)] were factors positively affecting utilization of preconception care.

Conclusions

The utilization of preconception care in the study area is low. Being college and above and secondary in educational status, rich, good knowledge, positive attitude towards preconception care, and deciding with her husband regarding maternal health services were independent factors promoting the utilization of preconception care. Information, education, and communication activities should be strengthened to increase awareness of mothers about preconception care.

Keywords

preconception care pregnant women associated factors

Introduction

Preconception care is the providing of biomedical, behavioral, and social health interventions to women and couples before conception occurs. It comprises the care earlier the first pregnancy and the care between the succeeding pregnancies.¹

The core preconception care includes the entire range of actions intended to promote the health of the hopeful mother and her child, which contains screening for different diseases, ecological hazards and toxins, illegal drugs, nutrition and folic acid intake, weight management, genetic conditions and family history, tobacco and alcohol use, vaccinations, and, family planning.² It is key to lessen different risk practices, exposures that distress conception, fetal growth, and eventually reduce subsequent adverse outcomes.³ It increases the health of women and men while decreasing the likelihoods that their offspring will experience: prematurity, low birth weight, birth defects, or other birth-related conditions that could delay optimum child development.^4,5 Preconception care is considered an prior chance not just for family planning or to reduce maternal and neonatal mortality, but also to improve continuing outcomes for adolescent girls, women, and children.⁶

The World Health Organization (WHO) recently identified that globally 4 out of 10 women reported that their pregnancies were unintended. As a result, 40% of pregnancies miss the essential health services required before pregnancy.⁷ The Center for Disease Control (CDC) recommends risk identification and counseling for all women of reproductive age as part of primary health care visits to improve pregnancy outcomes.⁸ However, unfortunately, lots of women in the world do not have access to preconception, pregnancy, health services, and childbirth with appropriate quality, especially poor, uneducated women or those in underprivileged areas.⁹

In high income countries, there is a policy for preconception care, whereas preconception care in low income countries is a much disused maternal health care service that requires special consideration. Even though there are high pre-pregnancy risk factors, the intention among men and women to look for preconception care is still inadequate in developing countries.^10,11 The prevalence of utilization of preconception in China, Iran, and Nepal was 40.0%,¹² 47%,¹⁰ and 51%,¹³ respectively. Different studies carried out in Ethiopia found that the level of utilization of preconception care ranges from 9.6%-18.2%^14,15 which is much lower than in other developing countries. Though overall health care has improved in Ethiopia still much needs to be done, for example in the cases of abnormal pregnancy consequences, specifically neural tube-related defects such as anencephaly, spinal bifida, and encephalocele, are increasing at an alarming rate. Moreover, PCC service is provided in both hospitals and health centers in Ethiopia. However, there are concerns about systematic and consistent PCC services provided for all reproductive age group mothers.^16,17

Having appropriate use of preconception care declines maternal and child mortality about by 57% and maternal and child morbidity by 73%.^3,18 Preconception care utilization could also reduce 71% of unintended pregnancies, thereby reducing 22 million unplanned births, 25 million induced abortions, and 7 million miscarriages.^19,20 Lack of preconception care and low folic acid supplementation for women in low income countries might increase the risk of neural tube defect in newborns by four times compared with high income countries, whereas taking folic acid decreases neural tube defects up to 80%.²¹

Preconception care utilization is affected by age, gender, educational status, income, marital status, family planning use, health condition, ANC visits, parity, pregnancy intention, and gravidity.^13,15,22,23 It is expected that the finding of this study will deliver insight for health sector administrators and NGOs working on maternal health and co-sectors, in general, to formulate mechanisms to address preconception care for mothers before conception. In spite of its significance in improving maternal health, leading to a healthy pregnancy, little is known about the magnitude of preconception care utilization and its associated factors in Ethiopia particularly in the study area. Therefore, this study aimed to assess the utilization of preconception care and its associated factors among pregnant women of West Guji Zone, Oromia region, Ethiopia.

Methods and Materials

Study Area, Design, and Period

A community-based cross-sectional study was conducted in West Guji Zone, Oromia Region. Bule Hora town is the capital city of West Guji Zone which is located 467 km from Addis Ababa, the capital city of Ethiopia, and 194 km from Hawassa. West Guji zone has nine woredas and two town administrations in the Zone. It has also 196 kebele, as the lower administrative unit; of these 166 are rural kebeles whereas 30 are urban kebeles. It has an estimated total population of 1,389,821 of whom 681,012 are males and 708,809 are females. The Zone has one General Hospital, 3 primary hospitals, 42 health centers, and 166 health posts. The total number of pregnant women as projected from the total population of West Guji Zone in 2019 was 48234.

Study Participants, Inclusion and Exclusion Criteria

The source population was all pregnant women living in West Guji Zone. On the other hand, all pregnant women living in randomly Selected Districts and towns of West Guji Zone for the period of the data collection were the study population. All pregnant women who were living in West Guji Zone for less than 6 months and those women who were seriously ill or unable to give the required information were excluded.

Sample Size Determination and Sampling Procedure

A single population proportion formula was used to determine the sample size. Considering the prevalence of preconception care utilization of 13.4% found from a previous study done in Debre Berhan Town,²³ a 95% confidence interval and a margin of error of 4%, a design effect of 1.5% and 10% non-response rate was also considered. The final calculated sample size became 461. A double population proportion was used to determine a sample size for the second objective using Epi-info version 7.1 by considering the power of the study of 80%, CI of 95%, knowledge of PCC as a significant variable as of a earlier study done in Northern Ethiopia¹⁵ with a proportion of PCC utilization among unexposed of 11.6% and AOR of 2.21 which yields a sample size of 677. Therefore, the biggest sample size calculated from the second objective 677 has been taken.

A study participant from west Guji Zone was selected by using a multistage sampling technique. Firstly, from a total of nine districts and two town administrations of West Guji Zone, three districts and one town administration were selected by simple random sampling technique by using the lottery method. Then the study kebeles were selected by simple random sampling and for each kebele, a proportional allocation to sample size was performed. Finally, Study Participants from each kebeles were selected by using a systematic sampling technique. Every 11^nth pregnant woman was questioned.

Study Variables

The dependent variable of the study was the utilization of preconception care. Independent variables were: Socio-demographic factors (the mothers age, educational status of the mother, educational status of husband, marital status, religion, ethnicity, occupation of the mother, occupation of husband, household’s wealth status and family size). Obstetric and reproductive health service utilization (Gravidity, parity, number of children, ANC visit, family planning use, place of childbirth, mode of delivery and PNC visit). Medical conditions and adverse birth outcome variables (chronic illness, history of adverse birth outcome). Knowledge and attitude related factors (knowledge regarding PCC and attitude towards PCC). Parental and health facility related factors (husband support, participants of women in a community meeting regarding maternal health, availability of essential medications and laboratory services, and distance of health facilities from home).

Operational Definition and Terms

Preconception care utilization

If women received at least one type of intervention, either advice or treatment, and lifestyle modification care (screen for any disease and get treatment, take folic acid, take vaccine, get counseling, modify diet, cessation of alcohol, cessation of cigarette smoking, stop taking of illegal drugs, plan pregnancy, create healthy environment) at least once before being pregnant will be considered as mother utilized PCC.²³

Good knowledge regarding PCC

Participants who scored above the mean score about preconception care knowledge questions were regarded as having good knowledge.

Good attitude towards PCC

Participants who scored above the mean score about attitude questions were regarded as having a good attitude.

Data Collection Procedures and Quality Assurance

A data from a pregnant woman was collected by using a structured interviewer-administered questionnaire. The questionnaire was constructed by adapting from previous literature and the questionnaire was amended to fit the research objective and the local condition. The questionnaire was initially prepared in English and then translated into Afaan Oromo (local language) by different language experts of both languages and then to English to check its consistency.

Data was collected by sixteen trained degree nurses who are fluent speakers in the local language and supervised by four master’s public health professionals. A face-to-face interview technique was conducted at the study participants’ house. The training was provided for both data collectors and supervisors on how to manage the data collection process. The questionnaire was pretested two weeks before the actual data collection with 5% of the sample size (34 pregnant women) in Borena Zone and the necessary amendment was done on the questionnaire per pretest result. The overall activities of data collection were supervised and coordinated by the investigators. The collected data were checked for consistency, completeness, and relevance daily during the entire data collection by the supervisors and principal investigator. The collected data also was checked for missed values and outliers.

Data Processing and Analysis

The collected data were coded, entered, and cleaned by Epidata version 3.1 and exported to Statistical Package for Social Science (SPSS) version 23.0 for analysis. Descriptive statistics were done to describe the data. The household wealth index was computed by using a composite indicator by considering properties, like selected household assets, and analyzed by using Principal Component analysis. Final factors were ranked into three categories (poor, rich and medium). Binary logistic regression analysis was employed to examine the statistical association between utilization of preconception care and every single independent variable. Variables that showed statistical significance during Bivariable analysis at (p-value <0. 25) were entered into multivariable logistic regression to identify statistically significant variables. Multicollinearity was tested by using the variance inflation factor and tolerance test. The Hosmer-Lemeshow test was used to check the model fitness for analysis. Adjusted odds ratios (AOR) with 95% CI were estimated to assess the strength of associations and statistical significance was declared at a p-value < 0.05. Tables, figures, and text were used to present results.

Results

Sociodemographic Characteristics of Mothers

Out of 677 pregnant women initially included in this study, 660 (97.5%) have replied to the interview. The majority of the study participants 347 (52.6%) were in the youth age group of (15 to 24) years. The mean (±SD) ages of the respondents were 25.67 + (6.13). Six hundred nineteen, 93.8% of the respondents were married. Nearly one-third (33%) of respondents had no formal education. The occupation status of most of the respondents (62.9%) was housewives. Three hundred seventy-four, 56.7% of the respondents were rural dwellers. More than one-third, 34.1% of the respondents were rich in wealth status. Nearly three- fourth, 71.8% of the respondents had a family size of <4 (Table 1).

Table 1.

Sociodemographic Characteristics of Pregnant Women in West Guji Zone, Southern Ethiopia, 2021 (n = 660).

Variables	Category	Frequency (n)	Percent (%)
Maternal age (year)	15-24	347	52.6
	25-34	242	36.7
	> = 35	71	10.7
Marital status	Married	619	93.8
Marital status	Currently unmarried	41	6.2
Educational status of mother	No formal education	218	33
	Primary education	162	24.5
	Secondary education	177	26.8
	College and above	103	15.6
Religion	Protestant	260	39.4
	Orthodox	172	26.1
	Muslim	180	27.3
	Wakefata	48	7.3
Maternal occupation	Housewife	415	62.9
	Merchant	81	12.3
	Private employee	22	3.3
	Student	56	8.5
	Government employee	86	13
Educational status of the husband	No formal education	90	14.5
	Primary education	137	22.1
	Secondary education	175	28.3
	College and above	217	35.1
Husband occupation	Farmer	224	36.2
	Student	22	3.6
	Merchant	159	25.7
	Private employee	47	7.6
	Government employee	167	27
Residence	Rural	374	56.7
Residence	Urban	286	43.3
Wealth status of family	Poor	217	32.9
	Medium	218	33
	Rich	225	34.1
Family size	<4	474	71.8
Family size	> = 4	186	28.2

Obstetric Characteristics of Mothers

Nearly two-third, 64.7% and seven-in-ten, 69.8% of mothers were multigravida and multiparous, respectively. Majority of the respondents, 573(86.8%) and 250(58.5%) had intended pregnancy and two or less alive children, respectively. The majority, 395 (59.8%) and 383(89.7%) of the respondents had ever utilized family planning and ANC services for current pregnancy, respectively. Nearly two-third, 63.2% of respondents places of previous delivery were health facilities. Almost half, 48.9% of the respondents had ever utilized postnatal care. Majority, 376(88.1%) of respondents had no previous adverse pregnancy outcome (Table 2).

Table 2.

Obstetric Characteristics of Pregnant Women of West Guji Zone, Southern Ethiopia, 2021 (n = 660).

Variables	Category	Frequency(n)	Percent (%)
Gravidity	Primi-gravida	233	35.3
Gravidity	Multigravida	427	64.7
Parity	Nulli-para	129	30.2
Parity	Multipara	298	69.8
Pregnancy intention	Yes	573	86.8
Pregnancy intention	No	87	13.2
Number of alive children	< = 2	250	58.5
Number of alive children	>2	177	41.5
Family planning utilization	Yes	395	59.8
Family planning utilization	No	265	40.2
ANC utilization for previous pregnancy	Yes	383	89.7
ANC utilization for previous pregnancy	No	44	10.3
Place of birth	Health facility	270	63.2
Place of birth	Home	157	36.8
Mode of previous delivery	Vaginal delivery	381	89.2
Mode of previous delivery	C/S	46	10.8
PNC utilization during previous birth	Yes	209	48.9
PNC utilization during previous birth	No	218	51.1
Previous adverse pregnancy outcome	Yes	51	11.9
Previous adverse pregnancy outcome	No	376	88.1
Adverse pregnancy outcome (multiple response)	Stillbirth	2	3.9
	Abortion	17	33.3
	Preterm	14	27.5
	Low birth weight	10	19.6
	Congenital anomaly	3	5.9
	Neonatal death	16	31.4
Chronic condition	Yes	39	5.9
Chronic condition	No	621	94.1
Chronic condition (multiple response)	HIV/AIDS	7	17.9
	Hypertension	27	69.2
	Diabetes mellitus	9	23.1
	Tuberculosis	1	2.5

Knowledge About Preconception Care

Three fourth, 73.5% of mothers agreed that they should avoid bad practices when planning for pregnancy. Nearly half, 47.3% 0f mothers agreed that testing for HIV/AIDS when planned for pregnancy is important. One third, 31.7% of respondents agreed that they should receive folic acid and multivitamins to prevent neural tube defects. Half, 51.4% of mothers had knowledge that they should preserve body weight when planned for pregnancy. Two hundred seventy-three, 41.4% of respondents had knowledge that they should receive zinc when intended for pregnancy. Two hundred ninety-eight, 45.2% of mothers had good knowledge about preconception care, while remaining 362(54.8%) of the mothers had poor knowledge about preconception care (Table 3).

Table 3.

Mothers Response for Knowledge Questions Regarding Preconception Care among Pregnant Women of West Guji Zone, Southern Ethiopia, 2021 (n = 660).

Knowledge questions	Response	Frequency(n)	Percent (%)
Avoiding bad practices when planned to pregnancy is important	Yes	485	73.5
	No	175	26.5
Adjusting their life when intended to pregnancy is important	Yes	400	60.6
	No	260	39.4
Avoiding smoking when intended to pregnancy is important	Yes	275	41.7
Avoiding smoking when intended to pregnancy is important	No	385	58.3
Avoiding taking alcohol when planned to pregnancy is important	Yes	210	31.8
	No	450	68.2
Avoiding several sexual partners when planned to pregnancy is important	Yes	275	41.7
	No	385	58.3
Testing for HIV/AIDS when intended to pregnancy is important	Yes	312	47.3
	No	348	52.7
Taking folic acid and multivitamins to avoid neural tube defects is important	Yes	209	31.7
	No	451	68.3
Taking iron sulfate to avoid anemia is important	Yes	165	25
Taking iron sulfate to avoid anemia is important	No	495	75
Avoiding illegal drugs when planned to pregnancy important	Yes	257	38.9
Avoiding illegal drugs when planned to pregnancy important	No	403	61.1
Staying away from contact to occupational hazards when planned to pregnancy is important	Yes	315	47.7
	No	345	52.3
Keeping body weight when intended to pregnancy is important	Yes	339	51.4
Keeping body weight when intended to pregnancy is important	No	321	48.6
Eating balanced food when planned to pregnancy is important	Yes	353	53.5
Eating balanced food when planned to pregnancy is important	No	307	46.5
Testing for STI when planned to pregnancy is important	Yes	291	44.1
Testing for STI when planned to pregnancy is important	No	369	55.9
Taking ordinary multivitamins when intended to pregnancy is important	Yes	213	32.3
	No	447	67.7
Taking ordinary vitamin D when planned to pregnancy is important	Yes	194	29.4
	No	466	70.6
Taking omega 3 vitamins when intended to pregnancy is important	Yes	239	36.2
	No	421	63.8
Taking zinc when planned to pregnancy is important	Yes	273	41.4
Taking zinc when planned to pregnancy is important	No	387	58.7

Attitude Towards Preconception Care

Among the total of 660 respondents, 400(60.6%) of respondents also agreed that preconception care is an important health issue for women of child bearing age and 238(36.1%) of the mothers agreed that a hospital setting is the best place to provide preconception care. Two hundred thirty-eight, 36.2% of the respondents agreed that preconception care is a high priority mother to plan pregnancy. Besides, 273(41.4%) of participants agreed that there is no enough time to plan to get preconception care. Three hundred forty-two, 51.8% of respondents had a positive attitude toward preconception care, while the remaining, 318(48.2%) of participants had a negative attitude toward preconception care (Table 4).

Table 4.

Mothers Response for Attitude Questions among Pregnant Women of West Guji Zone, Southern Ethiopia, 2021 (n = 660).

Attitude questions	SD No (%)	DA No (%)	N No (%)	A No (%)	SA No (%)
Preconception care does not have any influence on pregnancy outcome	88(13.3%)	113(17.1%)	136(20.6%)	277(42%)	46(7%)
Preconception care is an important health issue for women of child bearing age	14(2.1%)	34(5.2%)	121(18.3%)	400(60.6%)	91(13.8%)
A dedicated clinic for preconception care is a luxury service	48(7.3%)	209(31.7%)	240(36.4%)	141(21.4%)	22(3.3%)
A hospital is the best place to provide preconception care	21(3.2%)	49(7.4%)	194(29.4%)	238(36.1%)	158(23.9%)
Preconception care is a high priority all mother to plan pregnancy	28(4.2%)	97(14.7%)	212(32.1%)	238(36.1%)	85(12.9%)
I am not the most suitable person plan to get preconception care	52(7.9%)	80(12.1%)	161(24.4%)	295(44.7%)	72(10.9%)
There is not enough time to plan to get a preconception care	33(5%)	11(16.8%)	179(27.1%)	273(41.4%)	64(9.7%)
Health institutions exercise preconception care	31(4.7%)	94(14.2%)	269(40.8%)	210(31.8%)	56(8.5%)
High-risk mothers only should start preconception care when planned to pregnancy	58(8.8%)	145(22%)	261(39.5%)	138(20.9%)	58(8.8%)
History congenital anomalies only use preconception care	34(5.2%)	158(23.9%)	257(38.9%)	156(23.6%)	55(8.3%)
Preconception care depends on health care providers inclination	21(3.2%)	166(25.2%)	302(45.8%)	143(21.7%)	28(4.2%)

Utilization of Preconception Care

One hundred forty-seven, 22.3% [95% CI (19.2, 25.4)] of mothers utilized preconception care. The most frequently used component of PCC in this study was screening and treatment of HIV/STI, 128(87.1%) while the least utilized was optimizing psychological health, 39(26.5%) (Figure 1).

Figure 1.

Types of care utilized by mothers among pregnant women of west guji zone, southern Ethiopia, 2021 (n = 660).

Health Facility and Parental Support

Majority, 403 (61.1%) and 363 (55%) of the participants confirmed that there were availability of adequate laboratory and medication service, respectively. Three hundred seventy-eight (57.3%) of the participants mentioned that the time to reach the nearby health facility with foot took more than 30minutes. Three hundred seventy-nine, 57.4% of the respondents haven’t attended a community meeting about reproductive health services. Among the study participants who are married half, 49.1% of respondents had support from their husbands for preconception screening. Two hundred seventy 40.9% of mothers make a decision about maternal health services with their husbands (Table 5).

Table 5.

Health Facility and Parental Support among Pregnant Women of West Guji Zone, Southern Ethiopia, 2021 (n = 660).

Variables	Category	Frequency(n)	Percent (%)
Is your nearby health facility had adequate laboratory service for maternal health?	Yes	403	61.1
	No	257	38.9
Is your nearby health facility had adequate medication for maternal health?	Yes	363	55
	No	297	45
How much time it takes from your home to nearby health facility?	<30 minutes	282	42.7
	> = 30 minutes	378	57.3
Have you attended community meeting related to preconception care?	Yes	281	42.6
	No	379	57.4
Do you have husband support for maternal health service?	Yes	324	49.1
Do you have husband support for maternal health service?	No	336	50.9
Who is decision maker regarding utilization of reproductive health services?	Women	267	40.5
	Husband	123	18.6
	Jointly	270	40.9

Factors Associated with Utilization of Preconception Care

To identify factors affecting the utilization of PCC bivariable and multivariable logistic regression analysis was done. After controlling the confounding factors, the multivariable analysis revealed that the following factors have an association with the utilization of preconception care: Educational status of the mother, wealth status of family, knowledge about preconception care, attitude towards preconception care, and decision makers for maternal health. Those mothers who attained secondary education were 4.46 times more likely (AOR = 4.46, 95% CI 1.38, 14.39) to utilize preconception care compared to mothers who had no formal education. Those mothers who were college and above in educational status were 5.51 times more likelihood (AOR = 5.51, 95% CI, 1.43, 21.19) of utilizing preconception care compared to mothers who had no formal education. Mothers who were rich had 4.23 times more likelihood (AOR = 4.23 95% CI, 1.32, 13.55) utilizing preconception care compared to mothers who were poor. Mothers who had good knowledge about PCC were 2.34 times more likely (AOR = 2.34 95% CI, 1.05, 5.28) to utilize PCC when compared to their counterparts. Mothers who had positive attitudes toward PCC were 9.99 times more likely (AOR = 9.95 95% CI, 4.25, 23.48) to utilize PCC when compared to their counterparts who had a negative attitude towards PCC. Those mothers who made a decision with her husband were 4.71 times more likely (AOR = 4.71, 95% CI 1.91, 11.56) to utilize PCC as compared to those mothers who made a decision regarding maternal health services by herself (Table 6).

Table 6.

Bivariable and Multivariable Logistic Regression Analysis of Factors Associated with Utilization of Preconception Care among Pregnant Women in West Guji Zone, Southern Ethiopia, 2021 (n = 660).

Variable	Categories	Utilization of preconception care		Crude OR with 95% CI	Adjusted OR with 95% CI	P-value
		Yes (%)	No (%)
Educational status of women	No formal education	14(6.4%)	204(93.6%)	1	1
	Primary	25(15.4%)	137(84.6%)	2.65(1.33-5.29)	0.95(0.27-3.35)	0.94
	Secondary	58(32.8%)	119(67.2%)	7.10(3.79-13.28)	4.46(1.38-14.39)*	0.012
	College and above	50(48.5%)	53(51.5%)	13.74(7.06-26.73)	5.51(1.43-21.19)*	0.013
Educational status of husband	No formal education	6(6.7%)	84(93.3%)	1	1
	Primary	7(5.1%)	130(94.9%)	0.75(0.24-2.32)	0.60(0.09-3.72)	0.58
	Secondary	31(17.7%)	144(82.3%)	3.01(1.20-7.52)	2.05(0.40-10.43)	0.38
	College and above	97(44.7%)	120(55.3)	11.31(4.73-23.02)	4.83(0.50-46.25)	0.17
Occupation of women	Housewife	76(18.3%)	339(81.7%)	1	1
	Merchant	18(22.2%)	63(77.8%)	1.27(0.71-2.27)	2.08(0.49-8.72)	0.31
	Private employee	7(31.8%)	15(68.2%)	2.08(0.82-5.28)	2.19(0.48-9.90)	0.30
	Student	12(21.4%)	44(78.6%)	1.21(0.61-2.41)	0.39(0.10-1.49)	0.17
	Government employee	34(39.5%)	52(60.4%)	2.91(1.77-4.80)	0.29(0.07-1.11	0.07
Occupation of husband	Farmer	7(3.3%)	203(96.7%)	1	1
	Student	7(31.8%)	15(68.2%)	4.51(1.65-12.30)	10.5(0.80-37.5)	0.07
	Merchant	25(15.7%)	134(84.3%)	1.80(0.97-3.35)	1.85(0.47-7.23)	0.37
	Private employee	8(17%)	39(83%)	1.98(0.82-4.79)	0.103(0.10-1.10)	0.06
	Government employee	80(47.9%)	87(52.1%)	8.88(5.16-15.28)	2.53(0.42-15.20)	0.30
Residence	Rural	48(12.8%)	326(87.2%)	1	1
Residence	Urban	99(34.6%)	187(65.4%)	3.59(2.43-5.30)	1.04(0.41-2.63)	0.92
Wealth status	Poor	27(12.4%)	190(87.6%)	1	1
	Medium	32(14.7%)	186(85.3%)	1.21(0.69-2.10)	3.06(0.84-11.06)	0.08
	Rich	88(39.1%)	137(60.9%)	4.52(2.78-7.33)	4.23(1.32-13.55)*	0.015
Pregnancy intention	Yes	141(24.6%)	432(75.4%)	4.40(1.88-10.31)	1.38(0.38-4.99)	0.62
Pregnancy intention	No	6(6.9%)	81(93.1%)	1	1
Family planning use	Yes	114(28.9%)	281(71.1%)	2.85(1.86-4.36)	1.44(0.53-3.93)	0.47
Family planning use	No	33(12.5%)	232(87.5%)	1	1
Place of birth	Health facility	88(32.6%)	182(67.4%)	4.93(2.69-9.04)	1.78(0.71-4.48)	0.21
Place of birth	Home	14(8.9%)	143(91.1%)	1	1
Time to reach HF	<30 minutes	91(32.2%)	191(67.8%)	2.74(1.87-3.99)	1.02(0.45-2.32)	0.94
Time to reach HF	> = 30 minutes	56(14.8%)	322(85.2%)	1	1
Knowledge about PCC	Good	80(26.8%)	218(73.2%)	1.61(1.11-2.33)	2.34(1.05-5.28)*	0.036
Knowledge about PCC	Poor	67(18.5%)	295(81.5%)	1	1
Attitude towards PCC	Positive	125(36.5%)	217(63.5%)	7.75(4.76-12.59)	9.99(4.25-23.48)*	0.0001
Attitude towards PCC	Negative	22(6.9%)	296(93.1%)	1	1
Decision maker for RH services	Women	29(10.9%)	238(89.1%)	1	1
	Husband	13(10.6%)	110(89.4%)	0.97(0.48-1.93)	1.33(0.40-4.33)	0.63
	Jointly	105(38.9%)	165(61.1%)	5.22(3.30-8.24)	4.71(1.91-11.56)*	0.001

Key: * = statistically significant at p < 0.05 in multivariable logistic regression;

1 = indicated the reference category.

Discussion

Understanding of Preconception care is crucial for many Sub-Saharan African countries, such as Ethiopia, where maternal and perinatal mortality remains alarmingly high.¹⁵ This community-based cross-sectional study was carried out to assess the utilization of preconception care and its associated factors among pregnant women of West Guji Zone. This study found that 22.3% of the study participants had utilized preconception care. Educational status of the mother, wealth status of the family, knowledge about preconception care, attitude towards preconception care, and decision makers for maternal health were found to be independent factors affecting the utilization of PCC among pregnant women in West Guji Zone, Southern Ethiopia.

The prevalence of preconception care 22.3% obtained by this study is similar with the different studies done in Aga Khan University Hospital of Kenya,²⁴ Mekele city¹⁵ and, Addis Ababa.²⁵ This similarity might be due to socioeconomic similarity among participants.

This finding is higher than the report from the study done in Sao Polo, Brazil,²⁶ Abakalik, Southern Nigeria,²⁷ Debre Berhan town²³ and, Adet Town.²⁸ This finding is lower than the study done in Malaysia,²⁹ Saud Arabia,³⁰ Kaznazan, Iraq³¹ and, Obafem Awolwo University Hospital, Nigeria.³² The possible explanation for the discrepancy might be due to differences in the study setting, health service access and sociodemographic characteristics of the countries.

This study found that those mothers who were college and above and, attained secondary school were 5.51 and 4.46 times more likely to utilize preconception care when compared to mothers who had no formal education respectively. This finding was in line with the study done in Malaysia,²⁹ Saud Arabia,³⁰ and Adet town.²⁸ This might be due to that mothers who were educated might have the opportunity to get information about the importance of preconception care for the wellbeing of the mother and children through formal education or indirectly through different social Medias.

Mothers of rich wealth status were 4.23 times more likely to utilize preconception care when compared to those mothers with poor wealth status. This is comparable with the study done in West Shewa Zone, Ethiopia.¹⁷ This might be due to that mothers with low socio-economic status cannot afford their health expenses. Rich mothers might also have access to information about maternal health services through different Medias.

Mothers who had good knowledge about PCC were 2.34 times more likely to utilize PCC when compared to their counterparts who had poor knowledge about preconception care. This finding is in lines with the study done in Malaysia,²⁹ Mekelle city,¹⁵ and west Shewa zone.¹⁷ This might relate to information leading to knowing details about the importance of service. In addition to that, knowledge about PCC might improve attitudes towards PCC that might in turn improve the utilization of preconception care.

Mothers who had positive attitudes toward PCC were 9.99 times more likely to utilize PCC when compared to their counterparts who had a negative attitude towards PCC. This might be due to that mothers who had a good attitude towards PCC will try their best to reduce the barriers affecting utilization of preconception care.

Those mothers who made a decision with her husband were 4.71 times more likely to utilize PCC when compared to those mothers who made a decision regarding maternal health services by women alone. This significance is in line with the study done in Mekelle city.¹⁴ This might be due to that mothers who made a decision with her husband might have confidence for the importance of PCC and her husband might also help her financially that increases the affordability of services.

The nature of problem under the study requires the potential ability of respondents to remember information retrospectively, recall bias is also the other limitation of this study.

Conclusions

This study found that the utilization of preconception care in the study area is low. Being college and above and secondary in educational status, rich wealth status, good knowledge about preconception care, positive attitude towards preconception care, and deciding with her husband regarding maternal health services were independent factors positively affecting the utilization of preconception care. Information, education, and communication activities should be strengthened in communities that increase the awareness of mothers about preconception care.

Footnotes

Acknowledgments

First, we would like to express our deepest thanks to Bule Hora University Research and Publication Directorate for providing this wonderful opportunity to prepare this research paper. Then we would like to acknowledge West Guji Zone Health Department for giving important information needed for this research paper. Lastly, our acknowledgments also go to data collectors, supervisors, and those who were cooperatively participated in our study.

Declarations

Ethics approval and consent to participate

The study protocol was approved by the Institutional Review Board of Bule Hora University. Based on the approval, an official letter was written by Bule Hora University Research and Publication directorate to West Guji Zone Health Department. Explanation on the objective of the research was provided to the concerned personnel at each level. The West Guji Zone Health Department wrote a letter to the selected districts and cities for cooperation. At last, data was collected after assuring the confidentiality nature of the responses and obtaining verbal consent from the study participants. All study participants were encouraged to participate in the study and at the same time they were also told that they have the right not to participate.

Participant consent

Obtained

Consent for publication

Not applicable.

Availability of data and materials

For those who are interested; the datasets of this study could be accessed from the corresponding author on reasonable request.

Authors’ contributions

EA, AF, and TU conceptualized the paper, conducted the data collection process, and analyzed the data. EA, AF, and TU wrote the draft of the manuscript. EA, AF, and TU revised and edited the manuscript draft. All authors read and approved the final manuscript.

Declaration of Conflicting Interests

The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Funding

The author(s) received no financial support for the research, authorship, and/or publication of this article.

ORCID iDs

Elias Amaje

Anteneh Fikrie

Acronyms

References

Mason

Chandra-Mouli

Baltag

Christiansen

Lassi

Bhutta

. Preconception care: advancing from ‘important to do and can be done’to ‘is being done and is making a difference’. Reprod Health. 2014;11(S3):S8. doi:10.1186/1742-4755-11-S3-S8

Control CfD, Prevention, At A. Glance 2016: Maternal Health: Advancing the Health of Mothers in the 21st Century. CDC, Div. of Reproductive Health; 2016.

Organization Wh. Reduction of maternal and child mortality and morbidity. What´s the role of preconception care in the life course approach? 3rd congress on preconception health and care, Uppsala, Sweden. 2016.

Moos

M-K

Dunlop

Jack

, et al. Healthier women, healthier reproductive outcomes: recommendations for the routine care of all women of reproductive age. Am J Obstet Gynecol. 2008;199(6):S280-S2S9. doi:10.1016/j.ajog.2008.08.060

Williams

Zapata

D’Angelo

Harrison

Morrow

. Associations between preconception counseling and maternal behaviors before and during pregnancy. Matern Child Health J. 2012;16(9):1854-1861. doi:10.1007/s10995-011-0932-4

Dean

Rudan

Althabe

, et al. Setting research priorities for preconception care in low-and middle-income countries: aiming to reduce maternal and child mortality and morbidity. PLoS Med. 2013;10(9). doi:10.1371/journal.pmed.1001508

Chola

Pillay

Barron

Tugendhaft

Kerber

Hofman

. Cost and impact of scaling up interventions to save lives of mothers and children: taking South Africa closer to MDGs 4 and 5. Glob Health Action. 2015;8(1):27265. doi:10.3402/gha.v8.27265

Johnson

Posner

Biermann

, et al. Recommendations to improve preconception health and health care—United States: report of the CDC/ATSDR preconception care work group and the select panel on preconception care. Morbidity and Mortality Weekly Report: Recommendations and Reports. 2006;55(6):1.

Rezasoltani

PPS

. Mother and Infant Health Book. 2nd edition. 2005.

10.

Shadab

Nekuei

Yadegarfar

. Prevalence of pre-pregnancy risk factors and its relationship with preconception care in isfahan-Iran. Int J Pediatr. 2017;5(8):5463-5471.

11.

Nobles–Botkin

Lincoln

Cline

. Preconception care resources: where to start. J Midwifery Womens Health. 2016;61(3):365-369. doi:10.1111/jmwh.12464

12.

Ding

Xie

Yang

. Survey on the implementation of preconception care in shanghai, China. Paediatr Perinat Epidemiol. 2015;29(6):492-500. doi:10.1111/ppe.12218

13.

Nepali

Sapkota

. Knowledge and practice regarding preconception care among antenatal mothers. International Journal of Perceptions in Public Health. 2017;1(4):224-227.

14.

Goshu

, Liyeh TM, Ayele AS. Preconception care utilization and its associated factors among pregnant women in Adet, North-Western Ethiopia (Implication of Reproductive Health). J Women's Health Care. 2018:7(5):1000445. doi:10.4172/2167-0420.1000445

15.

Asresu

Hailu

Girmay

Abrha

Weldearegay

. Mothers’ utilization and associated factors in preconception care in northern Ethiopia: a community-based cross-sectional study. BMC Pregnancy Childbirth. 2019;19(1):347. doi:10.1186/s12884-019-2478-1

16.

Johnson

. Addressing women’s health needs and improving birth outcomes: results from a peer-to-peer state medicaid learning project. Issue Brief (Commonw Fund). 2012;21(1):19.

17.

Fekene

, Woldeyes BS, Erena MM, Demisse GA. Knowledge, uptake of preconception care and associated factors among reproductive age group women in West Shewa zone, Ethiopia, 2018. BMC Womens Health. 2020 Dec;20(1):1-8. doi:10.1186/s12905-020-00900-2

18.

Sutan

RMN

Tamil

. Yusof A A case control study on maternal health-seeking behavior at pre-pregnancy stage among mothers with low birth weight babies. Womens Health Gynecol. 2016;2(046).

19.

Lawal

TAAA

. Determinants of folic acid intake during preconception and in early pregnancy by mothers in ibadan, Nigeria. Pan Afr Med J. 2014;19.

20.

Shahidi

Aghdak

Izadi

. Effect of pre-conception care protocol on women's awareness. Iranian Journal of Medical Education. 2011 Jun 1; 10(5):525-532.

21.

Cherian

ASS

Bullock

Antony

. Incidence of neural tube defects in the least developed area of India: a population-based study. The Lancet. 2005;366(9489):930-931. doi:10.1016/S0140-6736(05)67319-9

22.

Shadab

Nekuei

Yadegarfar

. The prevalence of preconception care, its relation with recipients’ individuality, fertility, and the causes of lack of checkup in women who gave birth in isfahan hospitals in 2016. J Educ Health Promot. 2017;6:88. doi:10.4103/jehp.jehp_99_16. eCollection 2017

23.

Demisse

, Aliyu SA, Kitila SB, Tafesse TT, Gelaw KA, Zerihun MS. Utilization of preconception care and associated factors among reproductive age group women in Debre Birhan town, North Shewa, Ethiopia. Reproductive health. 2019;16:(1):1–0. doi:10.1186/s12978-019-0758-x

24.

Joan Okemo

AKU

. Differences in the level of utilization and determinants of preconception care among pregnant women in aga khan university hospital and maragua level four hospital. Theses & Dissertations. 2018.

25.

Wolela Alemu Seman

Teklu

Tesfaye

. Assessment of the knowledge, attitude and practice of residents at tikur anbesa hospital about preconceptional care 2018. Ethiopian Journal of Reproductive Health (EJRH). 2019;11(1):10-10.

26.

Borges

ALV

Santos

OAD

Nascimento

NDC

Chofakian

CBDN

Gomes-Sponholz

. Preconception health behaviors associated with pregnancy planning status among Brazilian women. Rev Esc Enferm USP. 2016;50(2):208-216. doi:10.1590/S0080-623420160000200005

27.

Napoleon

Ekem

LOL

Onoh

Iyoke

Ajah

Onwe

. Utilisation of preconception care services and determinants of poor uptake among a cohort of women in abakaliki southeast Nigeria. J Obstet Gynaecol. 2018;38(6):739-744.

28.

Goshu

Liyeh

Ayele

. Preconception care utilization and its associated factors among pregnant women in adet, north-western Ethiopia (implication of reproductive health). J Women's Health Care. 2018;7(445):2167-0420.1000445.

29.

Rozaimah

Rosnah

Norizan

Norehan

. Patterns of Pre-pregnancy care usage among reproductive age women in kedah, Malaysia. Iran J Public Health. 2018;47(11):1694-1702.

30.

Nuzhat Parveen

. Pre conception care: its recognition and acceptance in hail, ksa. Saud Arabia. Int J Curr Res. 2018;10(05):69064-69066.

31.

Ahmed

MHJPT

. Knowledge, practice, and attitude of married women about preconception care. Journal of Client-Centered Nursing Care. 2017;3(1):37-44. https://doi.org/10.32598/jccnc.3.1.37

32.

Olowokere

AEK

Owofadeju

. Awareness, knowledge and uptake of preconception care among women in ife central local government area of Osun state. Nigeria Community Medicine and Primary Health Care. 2015;27(2):83-92.