research article

Prevalence and Factors Associated with Unintended Pregnancy among Women Attending Antenatal Clinic in General Hospital in Dodoma

Gloria L Mrosso1, Fridolin Mujuni3, Namanya Basinda2*, Joshua Patrick Ngimbwa1

1Weill-Bugando School of Medicine, Catholic University of Health and Allied Sciences, Tanzania

2Department of Community Medicine, Catholic University of Health and Allied Sciences, Tanzania

3Department of Obstetrics and Gynecology, Weill-Bugando School of Medicine, Catholic University of Health and Allied Sciences, Tanzania

*Corresponding author: Namanya Basinda, Department of Community Medicine, Catholic University of Health and Allied, P.O.Box 1464, Mwanza, Tanzania

Received Date: 11 March, 2021; Accepted Date: 02 April, 2021; Published Date: 09 April, 2021,

Citation: Mrosso GL, Mujuni F, Basinda N, Ngimbwa JP (2021) Prevalence of and Factors Associated with Unintended Pregnancy among Women Attending Antenatal Clinic in General Hospital in Dodoma. J Preg Child Health 04: 116. DOI: 10.29011/JPCH-116.100016

Abstract

Background: Unintended pregnancy is a potential hazard for every sexually active woman as it poses a serious threat to the health and well-being of families globally. Information on Tanzanian women who conceive unintentionally is rarely documented. Understanding the extent of unintended pregnancy and the factors associated is crucial to devise evidence-based interventions. This study aimed to determine prevalence of and factors associated with unintended pregnancy.

Methods: This was a hospital-based cross-sectional study. A total of 300 pregnant women were recruited through random sampling and questionnaires were pre-tested and administered. Multiple logistic regression analysis was performed using SPSS version 20 software to identify the factors associated with an unintended pregnancy.

Results: The overall prevalence of unintended pregnancy was found to be 73 (24.3%) and those who wanted it at a later time and not at all accounted for 143 (47.7%) and 227 (75.7%) respectively. The prevalence of unintended pregnancies decreased with the use of emergency contraceptives and being married. However, it increases in lower age 15 to 20 years 67.3% (99/147) at first pregnancy, those who have high parity 54.5% (12/22), divorced 57.1% (4/7) and not married 62.7% (37/59). The prevalence was independent of the use of modern contraceptives, the number of sexual partners, and the level of education of the mother.

Conclusion: Unintended pregnancy is one of the major reproductive health problems since approximately over a quarter (24.3%) of the pregnant women attending ANC had unintended pregnancy experience. There is a need to inaugurate a community-based program through increasing knowledge of family planning by designing strategic policy programs aimed at creating more sensitization on reducing the unintended pregnancy reflecting those with young age, high parity, and not married.

Keywords

Unintended pregnancy

Abbreviations

ANC: Antenatal clinic; CUHAS: Catholic University of Health and Allied Sciences; IUD: Intrauterine device; RMO: Regional medical officer; DMO: District medical officer; RCO: Regional commissioner office; SPSS: Statistical package for social sciences; LAPF: Local authorities pension fund

Introduction

Unintended pregnancy is a pregnancy that is either mistimed (they occurred earlier than desired) or unwanted (they occurred when no children or no more children were desired) by both parents at the time of conception [1]. An estimated 80 million unintended pregnancies occur each year worldwide, resulting in 42 million induced abortions [2]. Twenty million of these induced abortions are performed in unsafe circumstances or by untrained providers and 34 million unintended births. These unintended pregnancies have grave consequences for the health and well-being of women and their families, particularly in low and middle-income countries where maternal mortality is high and abortions often unsafe [2]. By one or another means, unintended pregnancies contribute a lot to maternal and child morbidity and mortality [3].

Unintended pregnancy is a potential threat for every sexually active woman. It is a worldwide problem that affects women, their families, society, and their nation. A complex set of social and psychological factors puts women at a risk for unintended pregnancy and, in developing countries can result in serious longterm negative health effects including infertility and maternal death [4]. Unintended pregnancies pose a major and continuing social and health challenge in Africa, accounting for more than a quarter of the 40million pregnancies that occur annually in the region. It is a key risk factor of adverse pregnancy and maternal outcomes, including mortality and morbidity associated with unsafe induced abortion [5].

In Tanzania, a few surveys conducted on issues related to unintended pregnancy suggested that women face 1- in - 24-lifetime risk of maternal mortality [6]. Whilst for some women unintended pregnancy may be welcome news, in certain situations unintended pregnancies can lead to health, social and economic problems [7]. However, for women aged 15-24 years the group at highest risk of having unintended pregnancy, the risk of maternal mortality is likely to be higher due in part to physical immaturity but compounded by their lack of knowledge and experience [8] many women experiencing unintended pregnancy in Tanzania. For example, The 2010 Tanzania Democratic and Health Survey (TDHS) estimated that 26% of births that occurred five years preceding the survey were unintended (22% were mistimed; 4% were unwanted), and these estimates showed no significant change from those observed during the 2004-05 (TDHS) [9].

Unintended pregnancies pose important public health risks and their pernicious consequences have been documented in many studies [10]. For example, existing evidence shows the presence of a relationship between unintended childbearing and several adverse health outcomes such as; maternal depression, anxiety, poor psychological wellbeing, unsafe abortion, and poor utilization of ANC or delivery care [11].

Unintended pregnancies have been attributed to poor family planning and/or inadequate access to contraceptives, religious, beliefs, inadequate understanding of contraception and reproductive health education, lack of inter-partner communication, and sexual violence [12]. Communication between partners concerning family planning is related to the use of contraceptives which in turn helps in the prevention of unintended pregnancies [13]. Font Ribera et al. (2008) report that single women, as well as those from disadvantaged socio-economic environments, are more at risk of having an unintended pregnancy [14]. Moreover, risky behaviors such as alcohol abuse and smoking may lead to unintended pregnancies [15]. Such health risk-behaviors predispose both the mother and the developing fetus to adverse pregnancy and neonatal outcomes. Based on the current knowledge of the risks related to unintended pregnancies and the scarcity of such studies in Tanzania, this study aimed at exploring the factors associated with unintended pregnancies among Dodoma women attending the antenatal clinic in the General hospital.

Materials and Methods

Study area and design

The study was conducted at Makole Health Center Hospital in the Dodoma region, which is one of the health centers in the Dodoma urban district in which serves as the ANC for General hospital in the Dodoma region. It is bordered by Local Authority Pension Fund (LAPF) block to the southern-west, to the northeast by Dodoma secondary school to the north and south by Viwandani secondary school and Dar- es- salaam round about respectively. It has a total population of 11,416 people according to the 2002 and 2012 census among which males were 5,383 and females 6,033. Makole Health center serves over 21,000 pregnant women annually who are attending the antennal clinic.

Data collection

A pre-tested semi-structured questionnaire was used for the data collection on sociodemographic characteristics, awareness of family planning, and factors associated with unintended pregnancies. Questions were developed from reading similar studies and the questionnaire was piloted [16-18].

Data were collected through a cross-sectional study design conducted among the women attending the antennal clinic, done between September and October in 2018 in Makole hospital Dodoma region. The primary purpose of this study is to generate recent and reliable information on fertility, family planning, infant and child mortality, maternal and child health, and nutrition. The sample for the study is based on random selection based on the willingness of the participants. 300 gravid women aged 15 to 49 years who provided information about the intentionality of their recent pregnancies were selected for analyses reported herein.

Data analysis procedure

Data management and analysis were performed using SPSS version 20 for windows. For univariate data frequency distribution of respondents across categories of variables such as age are involved calculation and presentation of summary statistics including the percentage. Cross tabulation / bivalent analysis of pregnancy intentions by each of the independent variables was performed. The degree of association between pairs of crosstabulated categorical variables was tested using the Pearson’s chisquare (X2) test, significant difference was defined as P-values less than 0.01.

Variables and definition

The outcome of interest analyzed in this study was pregnancy intentions and was operationalized within three categories as intended, mistimed, and unwanted. Women responded to a survey question asking them to reflect on whether their most recent pregnancy was intended at the time of conception, intended but at a later time, or entirely unintended. Therefore a pregnancy was defined as “wanted” or “intended” if the respondent reported that she wanted to become pregnant at the time of conception. If the woman reported that she wanted the pregnancy but at a later time, her pregnancy was defined as “mistimed”. Finally, if the woman reported that she did not want to become pregnant at all, the pregnancy was defined as “unwanted”.

Ethical approval

Ethical permission was sought from the Joint CUHAS/BMC research ethics and review committee to gain permission (no: 766/2018) to conduct the study. Permission was requested from the regional medical officer, regional commissioner officer, and district medical officer-administration of Dodoma Town. Data collection in the study was voluntary with respondents signing a written consent form before the interview. The purpose of the study was elaborated to the participants and the confidentiality of the information was kept. The data remained anonymous throughout data analysis using codes to prevent stigma.

Results

Socio-demographic data

Questionnaires were given to and filled by 300 respondents, 102 (34%) were of the age group 21 to 25, 80 (26.7%) ranged from 26 to 30 years of age, 24.7% were between 31 and 40 years of age, 13.3% below 20 and only 1.3% above 40 years of age. 234 (78%) of the respondents were married, 59 (19.7%) were single and 7 (2.3%) were divorced. 206 (68.7%) respondents were Christian and 94 (31.3 %) were Muslim. Gogo seemed to be the dominant tribe constituting 37% of all respondents, Chagga 9.3 %, Rangi 6%, Sukuma 2.3 %, and all other tribes constituting 45%. 126 (42%) went up to secondary school, 119 (39.7%) participants had primary education, 37(12.3%) studied to the level of degree or above and 18(6%) didn’t go to school at all. On earning a living. 177 (59%) were doing some business. 64 (21.3%) indulged in farming, 21(7%) were teachers, 1(3%) was a student and 37 (12.3%) were just housewives, data summarized in Table 1.

Pregnancy intentions by maternal characteristics

Percentage distribution of pregnancy intentions by women’s characteristics in the assessment of factors associated with pregnancy intentions at General hospital, Dodoma. Data are summarized in Table 2.

Percentage distribution of pregnancy intentions by women’s characteristics in assessment of factors associated with pregnancy intentions at General hospital, Dodoma

In summary, the prevalence of unintended pregnancies decreased with the use of emergency contraceptives and being married. However, it increases in lower age 15 to 20 years 67.3% (99/147) at first pregnancy, those who have high parity 54.5% (12/22), divorced 57.1% (4/7) and not married 62.7% (37/59). The prevalence was independent of the use of modern contraceptives, the number of sexual partners, and the level of education of the mother.

Discussion

Prevalence of unintended pregnancies

Whilst several intervention studies have been conducted aiming to reduce the prevalence of unwanted pregnancies, there have been very few studies that have examined factors associated with an unwanted pregnancy, particularly in Tanzania. This study aimed to identify the number of socio-demographic and behavioral risk factors for reported unwanted pregnancy amongst all women attending the antenatal clinic in Makole Health Center Dodoma region, Tanzania. This study found that about a quarter of women (24.3%) in the study reported having unintended pregnancies. This is slightly lower than that reported in Nigeria (28%) which was higher due to low awareness and use of family planning where 44% of respondents were unaware of family planning and 22% had no access to family planning service [19]. This implies that most women are aware of family planning and know where they can access it but simply tend to ignore the use of it due to inadequate understanding of contraceptives and reproductive health education. Similarly, a study done at Addis Ababa, Ethiopia showed a higher prevalence of unwanted pregnancies where more than a quarter 126 (37.8%) of respondents reported having experienced an unwanted pregnancy at some point in their lives. Of these 50 (39.6%) were induced abortion [20]. Also, unwanted pregnancy may result in a fatal consequence if one wasn’t ready to be a mother at the moment. Classification of adverse events following induced abortion includes hemorrhage and infection.

Factors associated with unwanted pregnancies

1. Marital status and unwanted pregnancies

Marital status was strongly associated with an unintended pregnancy, with single women showing a tendency toward unintended pregnancy. This study suggests that single women likely engage in sexual activities for motivations other than childbearing such as pleasure, social status, immediate gain, or other exchanges. This result was consistent with the study done in Temeke district, Dares salaam Tanzania among female youths which showed that the majority of the youths who had unwanted pregnancies were not married and most of them were still in school (47%) [21]. A study done in Ethiopia among women of reproductive age found that single women were more likely to get unwanted pregnancies as compared to their counterparts [20]. In a study done in Malawi data showed that single women were more likely to report unwanted pregnancy than married women (25% vs. 20%), however married women were more likely than single women to have experienced a mistimed pregnancy (19% vs. 12%) [22]. Surprisingly those who are divorced could have minimal chances of getting unintended pregnancy but, the study found that there are divorced women who are at risk of getting unintended pregnancy. This implies that divorced women may have some affair with one or more partners and are likely to engage in sexual activities and conceive unintendedly.

2. Use of modern contraceptives and unintended pregnancies

The use of modern contraceptives was found insignificant in this study as far as unintended pregnancies was concerned. There was no difference between users and non-users regarding the prevalence of unintended pregnancies. A study done among never-married women in Bangladesh showed that women who had used a modern contraceptive method were more likely than those who had not, to classify their most recent pregnancy as unwanted or mistimed [23].

3. Level of education and Unintended pregnancies

Congruent with a study done in Addis Ababa, Ethiopia among women of reproductive age [20], and in contrast to other studies the findings of this study were that the level of education had no association with the prevalence of unintended pregnancies. For example, a study done in Kenya showed that women with at least secondary education had their first sexual intercourse delayed by at least three years [24]. Another study in Malawi among women of reproductive age showed that women with no formal education or who had not completed primary education were more likely to have had an unwanted pregnancy than women with some primary schooling. However, mistimed pregnancy was more common among women with primary schooling than among lesseducated women [22].

4. Age at first pregnancy and unintended pregnancies

This study showed that the likelihood of unintended pregnancies was most likely to occur in younger-aged women 15 to 20 years (67.3%) and decreasing likelihood with increasing age. This is because most of younger women are still in school hence more likely to practice sexual intercourse for reasons other than childbearing as well as younger women have little knowledge and skills about pregnancy control mechanisms i.e. use of contraceptives as compared to the older women. This is consistent with the Papua New Guinean, Kenyan, and Tanzanian data [4-6] given that younger women have higher fertility, higher frequency of sexual intercourse, little knowledge of contraceptive methods, and higher rates of contraceptive failure relative to older women [7]. This suggests that the lesser the age at first pregnancy could be attributed to sexual violence, alcohol abuse, smoking, and early marriage. Considering the young age one may suffer serious complications during delivery due to immature reproductive organs.

5. Number of children and unintended pregnancies

This study revealed that those women with a high number of children (parity) have an increased tendency toward unintended pregnancy. This signifies that this is a lack of communication among the married couple in planning for the family, this finding was similar to the study done in Nepal [4].

6. Number of sexual partners and unintended pregnancies

This study showed no association between the number of partners and unintended pregnancies. Those with single and those with multiple sexual partners had the same likelihood of classifying their last pregnancy as unplanned. A study in Ethiopia showed that females who had more than one sexual partner were more likely to have unwanted pregnancies compared to those who had one sexual partner [20]. There was no other data found to compare the difference in the findings but they may be attributed to a singlecenter study.

7. Use of emergency contraceptives and unintended pregnancies

This study showed no association between the number of partners and unintended pregnancies. Those with single and those with multiple sexual partners had the same likelihood of classifying their last pregnancy as unplanned. A study in Ethiopia showed that females who had more than one sexual partner were more likely to have unwanted pregnancies compared to those who had one sexual partner [20]. There was no other data found to compare the difference in the findings but they may be attributed to a singlecenter study.

Conclusion

Low prevalence of modern contraception methods and high frequency of unintended pregnancies are the main features among women in Tanzania. The present study revealed that about a quarter (24.3%) of the pregnant women attending ANC in Dodoma had an unintended pregnancy experience. This indicates unintended pregnancy is one of the major reproductive health problems in the study area. The results of this study showed that several factors were interwoven to affect the occurrence of the event including use of emergency contraceptives, marital status, and low age at first pregnancy which showed significant association with an unintended pregnancy. Henceforth provision of education concerning emergency contraception and contraceptive options should be made available as part of reproductive health services.

Declarations

Ethics approval and consent to participate

Ethical permission was sought from the Joint CUHAS/BMC research ethics and review committee to gain permission (no: 766/2018) to conduct the study. Permission was requested from the regional medical officer, regional commissioner officer, and district medical officer-administration of Dodoma Town. Data collection in the study was voluntary with respondents signing a written consent form before the interview. The purpose of the study was elaborated to the participants and the confidentiality of the information was kept. The data remained anonymous throughout data analysis using codes to prevent stigma.

Competing interests: The authors declare that they have no competing interests.

Funding: The study has no external funding. All operational costs were met by the authors.

Availability of data and materials: The datasets generated and analyzed during the current study are available from the corresponding author on reasonable request.

Authors’ contribution

GM, FM, NB, and JN designed the study. GM collected data. All authors drafted the manuscript, critically reviewed it, and provided final approval for publication.

Acknowledgement

The authors acknowledge all those who participated in the preparation of this manuscript and further appreciations are expressed to the regional councils and the entire hospital staff at the Makole Health center in Dodoma.


Aspect

Categories

Frequency(n)

Percentage (%)

 

Age of the Respondent

15-20

40

13.3

21-25

102

34.0

26-30

80

26.7

31-40

74

24.7

41 and above

4

1.3

 

Total

300

100.0

 

Current Marital Status

Married

234

78.0

Single

59

19.7

Divorced

7

2.3

 

Total

300

100.0

 

 

Religion

Christian

206

68.7

Muslim

94

31.3

Total

300

100.0

 

 

 

Respondent’s Tribe

Gogo

111

37

Chagga

28

9.3

Rangi

18

6.0

Sukuma

8

2.7

Others

135

45.0

Total

300

100.0

 

 

Highest Level of Education

primary school

119

39.7

secondary school

126

42.0

degree and above

37

12.3

None

18

6.0

Total

300

100.0

 

 

 

Occupation

Business

177

59.0

Farming

64

21.3

Housework

37

12.3

Teacher

21

7.0

Student

1

.3

Total

300

100.0


Table 1: Socio-demographic data.

Variable

 

Pregnancy intention

P-value

Yes                                          No

Age at 1st pregnancy

15-20

   99(67.3%)                  48(32.7%)   

0.01

21-25

92(84.4%)                   17(15.6%)

26-30

30(83.3%)                  6(16.7%)

31 and above

     6(75.0%)                  2(25.0%)    

 Marital status

                Married               

186(79.5%)              48(20.5%) 

0.014

               Single              

37(62.7%)                22(37.3%) 

Divorced

                            4(57.1%)                   3(42.9%)                           

Number of children

One

58(74.3%)                20(25.6%)

0.014

Two

43(78.2%)                12(21.8%)

More than two

12(54.5%)                10(45.5%)

None

102(82.3%)             22(17.7%) 

Emergency contraceptive use

Yes

13(56.5%)               10(43.5%)

0.073

                          No                          

214(77.3%)              63(22.8%)

Number of sexual partners

One

168(79.6%)              43(20.4%)

0.97

Two

211(67.7%)               10(32.3%)  

Three

25(67.5%)                12(32.4%)

More than three

                          13(61.95%)               8(38.0%)                           


Table 2: Pregnancy intentions by maternal characteristics.

References

  1. Gross KH (2002) Unintended pregnancies in North Carolina: results from the North Carolina PRAMS survey.
  2. Speidel JJ, Harper CC, Shields WC (2008) The potential of long-acting reversible contraception to decrease unintended pregnancy. Contraception 78:197-200.
  3. Amin Shokravi F, Howden Chapman P, Peyman N (2009) Comparison study: risk factors of unplanned pregnancies in a Group of Iranian and New Zealander Women. European Journal of Scientific Research 26: 108-121.
  4. Adhikari R, Soonthorndhada K, Prasartkul P (2009) Correlates of unintended pregnancy among currently pregnant married women in Nepal. BMC International Health and Human Rights 9:17.
  5. Ochako R, Izugbara C (2011) Unwanted pregnancy and pregnancy termination among women in Nairobi. Kenya, Policy Brief, Nairobi, Kenya: African Population and Health Research Center.
  6. Calvert C, Baisley K, Doyle AM, Maganja K, Changalucha J, et al. (2013) Risk factors for unplanned pregnancy among young women in Tanzania. J Fam Plann Reprod Health Care 39: e2.
  7. Oringanje C, Meremikwu MM, Eko H, Esu E, Meremikwu A, et al. (2009)Interventions for preventing unintended pregnancies among adolescents. Cochrane Database Syst Rev 7:
  8. Blum RW (2007) Youth in sub-Saharan Africa. Journal of Adolescent Health 41: 230-238.
  9. ICF Macro I (2011) Tanzania demographic and health survey 2010.
  10. Exavery A, Kanté AM, Hingora A, Mbaruku G, Pemba S, et al. (2013) How mistimed and unwanted pregnancies affect timing of antenatal care initiation in three districts in Tanzania. BMC pregnancy and childbirth. 13: 35.
  11. Redinger S, Norris S, Pearson R, Richter L, Rochat T (2018) First trimester antenatal depression and anxiety: prevalence and associated factors in an urban population in Soweto, South Africa. Journal of developmental origins of health and disease 9: 30-40.
  12. Haffejee F, O’Connor L, Govender N, Reddy P, Sibiya MN, et al. (2017) Factors associated with unintended pregnancy among women attending a public health facility in KwaZulu-Natal, South Africa. South African Family Practice 1-5.
  13. Becker S (1996) Couples and reproductive health: a review of couple studies. Studies in family planning 291-306.
  14. Font-Ribera L, Pérez G, Salvador J, Borrell C (2008) Socioeconomic inequalities in unintended pregnancy and abortion decision. Journal of Urban Health 85:125-35.
  15. Wakschlag LS, Pickett KE, Cook Jr E, Benowitz NL, Leventhal BL (2002) Maternal smoking during pregnancy and severe antisocial behavior in offspring: a review. American journal of public health 92: 966-974.
  16. Santhya K (2011) Early marriage and sexual and reproductive health vulnerabilities of young women: a synthesis of recent evidence from developing countries. Current opinion in obstetrics and gynecology 23: 334-339.
  17. Abayu H, Birhanu Z, Nega A, Kidanemariam A (2015) Prevalence and associated factors of unintended pregnancy in Welkaite Woreda, Tigray and North Ethiopia cross sectional study by 2012. J Preg Child Health 2:1-5.
  18. Kamal M, Islam A (2011) Prevalence and socioeconomic correlates of unintended pregnancy among women in rural Bangladesh. salud pública de méxico 53:108-115.
  19. Sedgh G, Bankole A, Oye-Adeniran B, Adewole IF, Singh S, et al. (2006) Unwanted pregnancy and associated factors among Nigerian women. International family planning perspectives 175-184.
  20. Mulatu T, Cherie A, Negesa L (2017) Prevalence of Unwanted Pregnancy and Associated Factors among Women in Reproductive Age Groups at Selected Health Facilities in Addis Ababa, Ethiopia. J Women's Health Care 6: 2167-0420.1000392.
  21. Mamboleo N (2012) Unwanted pregnancy and induced abortion among female youths: a case study of Temeke District: Muhimbili University of Health and Allied Sciences.
  22. Palamuleni ME, Adebowale AS (2014) Prevalence and determinants of unintended pregnancies in Malawi. African Population Studies 28: 551-563.
  23. Islam MM, Rashid M (2005) Determinants of Unintended Pregnancy among Ever-Married Women in Bangladesh.
  24. Ikamari L, Izugbara C, Ochako R (2013) Prevalence and determinants of unintended pregnancy among women in Nairobi, Kenya. BMC pregnancy and childbirth 13: 69.

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