Abstract
Background
Globally, complications arising from pregnancy and childbirth are the leading cause of death among pregnant women aged 15 to 19 years. This study investigated the psychosocial factors influencing contraceptive use among adolescent mothers in the Volta Region using the Health Belief Model (HBM).
Methods
This was a cross-sectional study conducted among 422 adolescent mothers. An interviewer-administered structured questionnaire was used to collect data. Binary logistic regression was used to determine the strength of association between the independent and the dependent variables at a p-value less than 0.05.
Results
The prevalence of contraceptive use was 18.7%. Concerning perceived susceptibility, there was a significant association between contraceptive use and the perception of being at risk of pregnancy complications (p<0.001). Perceived barriers showed a significant association between fear of side-effects of contraceptives and contraceptive use (p=0.007). Concerning perceived self-efficacy, there was a significant association between contraceptive use and confidence to suggest to a partner to use contraceptives (p=0.003); confidence to ask for contraceptives from health facilities (p<0.001) and confidence to use contraceptives (p<0.001).
Conclusion
Programmes to increase contraceptive use should aim at heightening the perception of risk of pregnancy complications, reduce barriers to contraceptive use and increase the skills in negotiating contraceptive use.
Keywords: Contraceptive use, Adolescent mothers, Health Belief Model, Volta Region, Ghana
Introduction
Contraceptive use as a method of family planning helps people to give birth to the number of children they desire as well as assist to determine the spacing of pregnancies1. Adolescent mothers between the ages of 10 and 19 years face a high risk of eclampsia, puerperal endometritis and systemic infections whiles babies born to them face a high risk of low birth weight, severe neonatal conditions and pre-term delivery1.
According to the World Health Organization (WHO) (2013), the infant mortality rate for children born to adolescent mothers is significantly higher than children born to non-adolescent mothers at 9.8 deaths per 1000 live births against 6.75 per 1000 live births respectively2. Globally, there is evidence showing that contraceptive use can help to prevent about 2.7 million infant deaths and the loss of 60 million healthy lives in a year3.
In Ghana, however, contraceptive use is low, which is a major public health concern. For instance, the current use of contraceptives is 23% among women of all ages4. The prevalence of contraceptive use among adolescents in the age group 15–19 years is the lowest (19%)4. According to Wilson, Ameme and Ilesanmi (2017)5, the age group 15–19 years, represents the highest regarding not using contraceptives in the Volta Region of Ghana. The 2014 Ghana Demographic and Health Survey (GDHS) also reported that 14% of women aged 15–19 years have begun childbearing (they have either had a live birth (11%) or are pregnant with their first child (3%))4. This is a slight increase from 13% in 20086. The Volta Region is ranked first in terms of adolescent pregnancy with a rate of 22% in the country4.
The increased use of contraceptives among adolescent mothers can help to achieve two targets of the Sustainable Development Goal (SDG) 3: reducing the global maternal mortality ratio to less than 70 per 100,000 live births and ending preventable deaths of newborns and children under 5 years of age by the year 2030. It can also help to achieve SDG 5: gender equality and empower all women and girls7.
Every successful health promotion programme is based on theories about how and why people change their behaviours. The Health Belief Model (HBM) was developed to address this issue. This paper uses the main constructs of the HBM, namely perceived susceptibility, perceived severity, perceived benefit, perceived barriers and perceived self-efficacy, as the theoretical framework to determine the psychosocial factors influencing contraceptive use among adolescent mothers in the Volta Region of Ghana.
The HBM is built on the premise that:
An adolescent mother will take a health-related action (contraceptive use) if she believes that a negative health condition can be avoided
An adolescent mother will avoid a negative health condition if she has a positive expectation of the recommended action (contraceptive condom use)
An adolescent mother will take a health-related action if she believes that she can successfully take the recommended health action (contraceptive use comfortably and with confidence)8,9.
The HBM has been applied to various health promotion behaviours such as osteoporosis prevention10,11; prevention of heart failure12–14; oral health15; obesity and overweight16; management of type 2 diabetes17; HIV risk perception18 and condom use19. However, there is paucity of studies that have applied the HBM to contraceptive use among adolescents; thus, justifying its use in the current study determine the psychosocial factors influencing contraceptive use among adolescent mothers in the Volta Region of Ghana.
Although adolescent mothers are part of the at-risk groups when it comes to maternal mortality, there has not been any study done in the Volta Region on the factors influencing contraceptive use among adolescent mothers grounded on a theory, even though the Region has a very high adolescent pregnancy rate.
Method
Study design
A cross-sectional study was conducted among 422 adolescent mothers in three Districts in the Volta region.
Study site
Three Districts were selected namely North Dayi District, Hohoe Municipality and Ho Municipality. North Dayi District was selected because it had the highest percentage (20.3%) of adolescents (10–19) Antenatal Clinic (ANC) attendance in 2017. Hohoe Municipality was also selected because it had an average percentage of adolescents (10–19) ANC attendance in 2017 of 15%. Ho Municipality was selected because it had the lowest percentage (9.6%) of adolescents (10–19) ANC attendance in 2017, according to the information from the District Health Management Data20. This gave an unbiased representation of the Volta Region.
Study population
The study population was adolescent mothers attending Postnatal Clinic (PNC) at 12 selected health facilities in North Dayi District, Hohoe Municipality and Ho Municipality.
Sample size determination
The sample size for the study was calculated using the Magnani sampling guide21. Thus, the sample size required for the study was 384, calculated as follows:
N= Z2 × p(1-p)/d2
where N is sample size; z is reliability coefficient (1.96); d is margin of error (0.05); p is prevalence of contraceptive use among adolescent mothers (50%).
Therefore, N=1.962 × (0.50) (0.50)/0.052 =384
Adding a10% non-response rate of 38, gave an overall sample size of 422.
Sampling procedure
The study employed a multistage sampling technique
Stage 1
Selection of Districts- Three Districts for the study were purposively selected if they fell in the high, middle and low clusters respectively. All the Districts were put into 3 clusters namely high cluster, middle cluster and low cluster regarding the 2017 Volta Regional adolescents (10–19 years) ANC attendance. Districts with a percentage between 20.3 and 16.4 were classified as a high cluster, those with a percentage between 15.5 and 14.5 were classified as middle cluster and those with a percentage between 14.3 and 9.6 were classified as a low cluster. North Dayi, Hohoe and Ho were purposively selected from the high, middle and low clusters respectively.
Stage 2
Selection of health facilities- In each of the Districts, all the names of the health facilities providing PNC services were written on pieces of paper, wrapped and placed in a container. Four persons not involved in the study were asked to pick one wrapped paper each without replacement from the container. Twelve facilities were thus randomly selected (4 from each District).
Stage 3
Selection of participants- Convenience sampling was used to identify and invite participants based on the calculated sample size. The purpose of the study was explained to the nurses by the research team. The nurses explained the purpose of the study to the adolescent mothers who came for PNC services and directed them to the study team. The purpose of the study was further explained to the mothers by the research team. Participant information and consent forms (PICFs) were given to the participants and the study team members were available to answer questions raised by the participants. The PICFs were explained to participants who could not read and verbal consent was obtained from this category of participants. Participants below 18 years were followed home to obtain parental consent while they gave their assent.
The sample size for the study was calculated using the Magnani sampling guide
Instrument and data collection
A pretested structured interviewer-administered questionnaire was used for the data collection. The questionnaire was pretested among 20 adolescent mothers in the Cape Coast Metropolitan in the Central Region of Ghana. The pretesting aimed at assessing relevance, clarity, accuracy and flow of questions asked, the approximate time needed for each tool and the clarity of the instructions to the respondents. The refined questionnaires were administered to a sample of 422 adolescent mothers attending PNC in 12 health facilities (4 from each selected district) in the Volta Region. Research assistants who were fluent in English and Ewe languages were trained for the data collection.
The questionnaire contained three sections. Section A contained questions about demographic characteristics, Section B included questions on the utilization of contraceptives, and Section C contained the factors influencing contraceptive use based on the constructs of the HBM (perceived susceptibility, perceived severity, perceived benefits, perceived barriers, cues to action and perceived self-efficacy).
Measures
Outcome (dependent) variable
contraceptive use Contraceptive use was measured with the following question: ‘Have you used any contraceptive before? The response options were ‘0=No’ (reference category)’ and ‘1=yes’.
Independent variables: constructs of the HBM
Perceived susceptibility to adolescent pregnancy complications: This was measured based on the responses to the following questions each considered separately: ‘Do you know that if you do not use contraceptives you could be susceptible to adolescent pregnancy complications?’ and ‘Would you use contraceptives to prevent adolescent pregnancy complications?’ The response options were categorized into ‘0=No’ and ‘1=yes’. The reliability coefficient for perceived susceptibility items was 0.99.
Perceived severity of adolescent pregnancy complications: This measure was based on the responses to the following questions each considered separately: ‘Do you know that adolescent pregnancy-related complications can result in the death of the mother?’; ‘Do you know that adolescent pregnancy-related complications can result in the death of your baby?’; ‘Do you know that adolescent pregnancy-related complications can affect your reproductive system?’ and ‘Do you know that adolescent pregnancy-related complications can affect the child's brain?’ The response options were categorized into ‘0=No’ and ‘1=yes’. The reliability coefficient for perceived severity items was 0.98
The perceived benefit of using contraceptives
This measure was based on the responses to the following questions each considered separately: ‘Does contraceptive use prevent pregnancy effectively?’; ‘Does contraceptive use help in birth spacing?’ and ‘Does contraceptive use help one to achieve her goals like attaining higher education and getting good jobs?’ The response options were categorized into ‘0=No’ and ‘1=yes’. The reliability coefficient for the perceived benefit items was 0.97.
Perceived barriers to contraceptive use
This measure was based on the response to the following question: ‘What are some of the barriers that may prevent you from using contraceptives?’ with the following response options: distance to the acquisition of contraceptives, fear of side effects, costly, the attitude of service providers, partner or family opposition. The response for each option was categorized into ‘0=No’ and ‘1=yes’. The reliability coefficient for the perceived barrier was 0.61.
Cues to action for contraceptive use
This measure was based on the responses to the following questions each considered separately: ‘Do you get any information or reminders about contraceptives’? and ‘Have the information or reminders influenced you to use contraceptives’? The response options were categorized into ‘0=No’ and ‘1=yes’. The reliability coefficient for cues to action was 0.33.
Perceived self-efficacy for contraceptive use
This measure was based on the responses to the following questions each considered separately: ‘Do you have the confidence to suggest to your partner to use contraceptives?’; ‘Are you confident to ask for contraceptive methods in a health facility?’ and ‘Are you confident to use contraceptives?’ The response options were categorized into ‘0=No’ and ‘1=yes’. The reliability coefficient for self-efficacy was 0.85.
Socio-demographic variables
The following socio-demographic variables were included in the study: age, categorized into two groups (below 18 and 18 and above), marital status, (married and not married), religion (Christianity, Islam and Traditional), educational level, (none, primary, secondary and tertiary), parity level, (parity 1 and more than 1), ethnicity, (ewe, guans, and others), occupation, categorized into two groups (none and traders).
Data analysis
Data collected from the study were entered into Epi Data 3.1 and exported into STATA 14.0 for cleaning and analysis. Binomial logistic regression was performed to examine the probability of using the female condom during sexual intercourse. Binomial logistic regression predicts the probability that an observation falls into one of two categories of a dichotomous dependent variable (female condom use) based on one or more independent variables that can be either continuous or categorical (constructs of the HBM).
For binomial logistic regression to be performed, the following assumptions must be met:
The dependent variable should be measured on a dichotomous scale
One or more independent variables which can be either continuous (interval or ratio variable) or categorical (ordinal or nominal)
Independence of observations and the dependent variable should have mutually exclusive and exhaustive categories22.
The procedure gave rise to estimates of odds of a certain event occurring (contraceptive use), given a set of explanatory variables (the constructs of the HBM).
All these assumptions were fulfilled in the current study, thus justifying the use of binomial logistic regression to determine the psychosocial factors influencing contraceptive use among adolescent mothers in the Volta Region of Ghana.
To estimate the odds ratios (ORs), all the components of the HBM and the socio-demographic variables were entered into the first model to evaluate possible interactions. Significant interaction terms were retained and entered in a general model. The sequence of covariate removal from the model was determined by the likelihood ratio testing and the Hosmer-Lemeshow goodness-of-fit test to ensure that the covariate that contributed the least to the fit of the model would be removed first while adjusting for the simultaneous effects of other sets of variables in the model. The significant level for all statistical tests was 5%.
Ethical consideration
Ethical approval was obtained from the Research Ethics Committee of the University of Health and Allied Sciences UHAS-REC A.5 [5] 18–19. This research was conducted following the accepted principles of ethics in research practice. Administrative approvals were sought from the Regional, Municipal and District health directorate as well as the various health facilities. Written informed consent was obtained from participants on standard consent form before they were included in the study. Confidentiality was fully assured. Due to the sensitive nature of the study, the researcher informed the participants that their names will not be taken so there would not be any situation where a participant's name will be attached to any document of the study. Participants were informed that participation in the study was voluntary and they could decide to withdraw from the study at any time without any consequences.
Results
Socio-demographic characteristics of respondents
Table 1 presents the demographic characteristics of adolescent mothers. Of the 442 adolescent mothers surveyed, the mean age was 17.2±1.3 years. The majority (54.3%) of the mothers were below 18 years; (49.3%) had no formal education; (85.6%) were Christians; most (91.2%) were not married and the majority (92.7%) had one child. About 80.1% were Ewes and most (78.9%) were unemployed
Table 1.
Demographic characteristics of respondents
| Characteristics | Frequency (n=422) | Percentage (%) |
| Mean age (Range) SD in years | 17.2 (14 – 19) 1.3 | |
| Age (years) | ||
| Below 18 | 229 | 54.3 |
| 18 and above | 193 | 45.7 |
| Highest level of education | ||
| None | 208 | 49.3 |
| Basic | 197 | 46.7 |
| Secondary | 17 | 4.0 |
| Religion | ||
| Christianity | 361 | 85.6 |
| Islamic | 28 | 6.6 |
| Traditional | 33 | 7.8 |
| Marital status | ||
| Married | 37 | 8.8 |
| Not married | 385 | 91.2 |
| Parity | ||
| 1 | 391 | 92.7 |
| More than 1 | 31 | 7.3 |
| Ethnicity | ||
| Ewe | 338 | 80.1 |
| Guan | 29 | 6.9 |
| Others specify | 55 | 13.0 |
| Occupation | ||
| None | 333 | 78.9 |
| Traders | 89 | 21.1 |
Contraceptive use among adolescent mothers
Only 18.7% of the adolescent mothers interviewed used contraceptives
Psychosocial factors influencing contraceptive use based on the Health Belief Model
The psychosocial factors assessed by this study were based on the six constructs of the HBM: perceived susceptibility, perceived severity, perceived benefits, perceived barriers, cues to action and perceived self-efficacy (Table 2).
Table 2.
Psychosocial factors influencing contraceptive use
| Variables | Frequency | Percentage |
| N=422 | (%) | |
| Perceived susceptibility | ||
| Being susceptible to adolescent pregnancy complications | ||
| No | 329 | 78.0 |
| Yes | 93 | 22.0 |
| Contraceptive use can prevent adolescent pregnancy complications | ||
| No | 310 | 73.5 |
| Yes | 112 | 26.5 |
| Perceived severity | ||
| Pregnancy-related complications can lead to the death of the mother | ||
| No | 275 | 65.2 |
| Yes | 147 | 34.8 |
| Pregnancy-related complications can lead to the death of the baby | ||
| No | 310 | 73.5 |
| Yes | 112 | 26.5 |
|
Pregnancy-related complications can affect the mother's reproductive system |
||
| No | 317 | 75.1 |
| Yes | 105 | 24.9 |
| Pregnancy-related complications can affect a child's brain | ||
| No | 317 | 75.1 |
| Yes | 105 | 24.9 |
| Perceived benefits | ||
| Contraceptive use prevents pregnancy | ||
| No | 237 | 56.2 |
| Yes | 185 | 43.8 |
| Contraceptive use helps in birth spacing | ||
| No | 265 | 62.8 |
| Yes | 157 | 37.2 |
| Contraceptive use helps one in achieving personal goals | ||
| No | 248 | 58.8 |
| Yes | 174 | 41.2 |
| Perceived barriers | ||
| Distance to accessing of Family Planning services | ||
| No | 414 | 98.1 |
| Yes | 8 | 1.9 |
| Fear of side effects | ||
| No | 244 | 57.8 |
| Yes | 178 | 42.2 |
| Cost of contraceptive | ||
| No | 326 | 77.3 |
| Yes | 96 | 22.7 |
| The attitude of service providers | ||
| No | 312 | 73.9 |
| Yes | 110 | 26.1 |
| Partner or family opposition | ||
| No | 345 | 81.8 |
| Yes | 77 | 18.2 |
| Cues to action | ||
| Received information or reminders on contraceptives | ||
| No | 289 | 68.5 |
| Yes | 133 | 31.5 |
|
Perception of the importance of information or reminders received in contraceptive use (n=133) |
||
| No | 94 | 70.7 |
| Yes | 39 | 29.3 |
| Perceived self-efficacy | ||
| Confident to suggest contraceptive use to partner | ||
| No | 341 | 80.8 |
| Yes | 81 | 19.2 |
| Confident to ask for contraceptive methods in health facilities | ||
| No | 341 | 80.8 |
| Yes | 81 | 19.2 |
| Confident to use contraceptives | ||
| No | 326 | 77.3 |
| Yes | 96 | 22.7 |
Concerning perceived susceptibility, the majority (78%) of the mothers indicated they were not susceptible to adolescent pregnancy complications and 73.5% also did not know that contraceptive use can prevent adolescent pregnancy complications. The participants in this study did not perceive adolescent pregnancy to be severe (34.8% to 24.9%) and a slight majority perceived contraceptive use to be beneficial (56.2% to 58.8%). Access to family planning services, fear of side effects, cost of contraceptives, the attitude of service providers and partner opposition were not perceived as barriers to contraceptive use (98.1%, 57.8%, 77.3%, 73.9 and 81.8%) respectively. With regard to cues to action, the majority (68.5%) did not receive any information or reminders on contraceptive use and most (70.7%) did not perceive the information they received to be important. The majority of the mothers were not confident to suggest contraceptive use to their partners, not confident to ask for contraceptive methods in a health facility and not confident to use contraceptives (80.8%, 80.8% & 77.3%) respectively.
Association between psychosocial factors (constructs of the Health Belief Model) and the odds of contraceptive use (adjusted)
Table 3 shows that after adjusting for confounding variables, adolescent mothers who perceived themselves to be at risk of pregnancy complications were 14 times more likely to use contraceptives as compared to those who did not [OR=13.8(95% CI:3.94–48.05); p<0.001]; those who perceived side-effects of contraceptive as a barrier were 80% less likely to use contraceptives as compared to those who did not [OR=0.2(95% CI:0.05–0.62); p=0.007]; adolescent mothers who were confident to suggest contraceptive use to their partners were 7 times more likely to use contraceptives as compared to those who did not [OR=6.6(95% CI:1.89–23.27); p=0.003]. Also, adolescent mothers who were confident to ask for family planning services at a health facility were 9 times more likely to use contraceptives as compared to those who did not [OR=9.2(95% CI:2.63–32.46); p<0.001]. The adolescent mothers who were confident to use contraceptives were 10 times more likely to use contraceptives as compared to those who were not [OR=9.8(95% CI:2.96–32.16); p<0.001].
Table 3.
Bivariate and multivariate analysis of factors influencing contraceptive use
| Variable | COR (95% CI) p-value | AOR (95% CI) p-value |
| Religion | ||
| Christianity | Ref | Ref |
| Islamic | 2.5 (1.12–5.73) 0.026* | 3.9(0.52–29.82) 0.186 |
| Traditional | 0.6(0.21–1.85)0.398 | 0.7(0.09–5.63)0.759 |
| Parity | ||
| 1 | Ref | Ref |
| More than 1 | 2.2 (1.00 – 4.93) 0.049* | 1.1(0.13–9.50)0.936 |
| Perceived susceptibility | ||
|
Adolescent pregnancy complications without the use of contraceptives |
||
| No | Ref | Ref |
| Yes | 46.2(23.43–91.08) <0.001* | 13.8(3.94–48.05) <0.001 * |
| Perceived severity | ||
|
Pregnancy-related complications can lead to the death of the mother |
||
| No | Ref | Ref |
| Yes | 7.3(4.21–12.59) <0.001* | 1.3(0.37–4.94)0.653 |
| Perceived benefit | ||
|
Contraceptive use prevents pregnancy |
||
| No | Ref | Ref |
| Yes | 7.1(3.95–12.89) <0.001* | 2.2(0.30–15.81)0.445 |
|
Contraceptive use helps in birth spacing |
||
| No | Ref | Ref |
| Yes | 7.4(4.22–12.89) <0.001* | 1.7(0.32–8.80)0.537 |
|
Contraceptive use helps one in achieving goals (higher education and a good job) |
||
| No | Ref | Ref |
| Yes | 8.2(4.55–14.90) <0.001* | 0.5(0.06–3.41)0.455 |
| Perceived barriers | ||
| Fear of side effects | ||
| No | Ref | Ref |
| Yes | 0.3(0.17–0.55) <0.001* | 0.2(0.05–0.62)0.007 * |
| The attitude of service providers | ||
| No | Ref | Ref |
| Yes | 0.4(0.23–0.86)0.017* | 0.4(0.10–1.36)0.131 |
| Cues to action | ||
|
Received information or reminders on contraceptive use |
||
| No | Ref | Ref |
| Yes | 10.7(6.07–18.94) >0.001* | 2.8(0.83–9.17)0.098 |
| Self-efficacy | ||
|
Confident to suggest use contraceptive to partner |
||
| No | Ref | Ref |
| Yes | 48.4(24.56–95.48) <0.001* | 6.6(1.89–23.27)0.003 * |
|
Confident to ask for family planning services at a health facility |
||
| No | Ref | Ref |
| Yes | 38.4(19.97–73.93) <0.001* | 9.2(2.63–32.46) <0.001 * |
| Confident to use contraceptives | ||
| No | Ref | Ref |
| Yes | 24.4(13.24–44.96) <0.001* | 9.8(2.96–32.16) <0.001 * |
p-value significant at 95% CI
Discussion
The findings from this study showed that the prevalence of contraceptive use among the adolescent mothers was 18.7%. This finding is contrary to the results of a study done in Malawi, which revealed that 45.2% of adolescent mothers reported use of contraceptives23. The difference in prevalence between the current study and that of Malawi could be as a result of the high prevalence of HIV in Malawi leading to an increase in contraceptive (condom) use. The low level of contraceptive use in the current study is similar to the results of Nyarko (2015) in Ghana24, which revealed that 18.3% of adolescents use contraceptives. The prevalence of contraceptive use observed in the current study is higher compared to that of a study conducted by Mahmood and colleagues in India that reported a prevalence of 13.8%25. The difference in prevalence between the current study and that of India could be as a result of the strong religious opposition to contraception by Muslims; thus, the study in India involved more Muslims as compared to the current study. The low prevalence of contraceptive use in the current study calls for health promotion interventions to improve contraceptive use among adolescent mothers in the Volta Region of Ghana.
The current study investigated the psychosocial factors influencing contraceptive use based on the HBM. According to the HBM, an adolescent mother will use contraceptives if she believes she is at risk of adolescent pregnancy complications (perceived susceptibility)8,9. Adolescent mothers who perceived that they are susceptible to adolescent pregnancy complications (perceived susceptibility) were more likely to use contraceptives compared to those who did not. This finding supports that of a study conducted in Ethiopia, which reported that women who perceived high risk of adolescent pregnancy complications were more likely to use contraceptives as compared to those who did not26. The finding also supports that of a study conducted in Malawi23, which reported that adolescent mothers who were knowledgeable about adolescent pregnancy complications and susceptible to them were more likely to use contraceptives as compared to those who were not. Furthermore, the finding of the current study is similar to that of a study conducted in Cape Coast, Ghana27, in which adolescent mothers who perceived a higher chance of developing adolescent pregnancy complications were found to be more likely to use contraceptives as compared to those who did not. The current finding points to the need for health promotion interventions to heighten the perception of susceptibility to pregnancy complications among adolescents, should they become pregnant. This could motivate them to use contraceptives to prevent these complications by avoiding adolescent pregnancies.
For adolescent mothers to use contraceptives to prevent pregnancy, they have to overcome barriers to contraceptive use. Perceived barriers refer to one's belief in the tangible and psychological costs of the advised behaviours against a condition or problem8,9. Any obstacle to the use of contraceptives might prevent its usage to prevent pregnancy. Under perceived barriers, 42.2% of the adolescent mothers reported fear of side-effects as a barrier to contraceptive use. Adolescent mothers who perceived side-effects as a barrier to contraceptive use were less likely to use them compared to those who did not. This finding supports that of a study done in Nigeria, which reported that 41.1% of women surveyed reported fear of side-effects as the main reason why they did not use contraceptives28 and that of a study done in Democratic Republic of Congo, which found that 31.5% of women stated fear of side-effects as the main barrier to contraceptive use29. Also, the result of this current study is compatible with that of a study done in the Northern region of Ghana, which reported that 47.3% of the female adolescents reported adverse side-effect as a reason they did not use contraceptives30. The reason for the perception of side-effects of contraceptives reported in the current study could be due to inadequate information, education and communication about contraceptives among the adolescents. There is, therefore, the need for health promotion interventions to deliver accurate knowledge about contraceptives to the adolescent mothers and also strategies to overcome real side-effects to contraceptive use.
It is only when adolescent mothers realise that they can deal with these barriers, that they would be able to use contraceptives. Perceived self-efficacy is the strength of an adolescent mother's belief in her ability to respond to novel or difficult situations and to deal with any associated obstacles or setbacks to contraceptive use8,9. An adolescent mother should feel that she is capable of using contraceptives because it is that confidence that would motivate her to initiate and sustain the action.
An adolescent mother will use contraceptives to prevent pregnancy complications if she believes that she can successfully use them (perceived self-efficacy). Self-efficacy results showed that adolescent mothers who were confident to ask for contraceptive methods from a health facility were more likely to use contraceptives as compared to those who were not. This finding supports that of a study conducted in Ethiopia26, which reported that women who were confident to ask for contraceptive methods from health facilities were more likely to use them as compared to those who were not. Furthermore, adolescent mothers who were confident to suggest to their partners to use contraceptives were more likely to use them as compared to those who were not. This finding agrees with those of a study conducted in Ghana, which reported that women who were confident to suggest to their partners to use contraceptives were more likely to use them as compared to those who were not31. Also, adolescent mothers who were confident to use contraceptives were more likely to use them as compared to those who were not. This corroborates the finding of Bader32, who reported that adolescent women who were confident to use contraceptives were more likely to use them as compared to those who were not33. The findings of self-efficacy in the current study, in general, corroborate that of a study conducted in Uganda, which showed that women in general with low self-efficacy were less likely to use contraceptives as compared to those with high self-efficacy33.
The current findings point to the need for health promotion intervention to increase the ability and skills of adolescent mothers to use contraceptives. These interventions could increase the use of contraceptives among adolescent mothers and in turn curb adolescent pregnancy in the Volta Region of Ghana.
The current results should, however, be interpreted in line with some limitations. The convenience sampling used at the last stage of the multistage sampling is a non-probability sampling method and may limit the generalizability of the findings of this research. Also, the study used a cross-sectional design and thus cause-effect relationships could not be ascertained. Also, the study used a self-reporting instrument (questionnaire) that has the potential of introducing social desirability bias and there was no way to validate what the respondents reported. However, the assurance of anonymity and confidentiality of the responses should have minimized possible misreporting. Despite these limitations, this study provides insight into the psychosocial factors influencing contraceptive use among adolescent mothers in the Volta Region using the HBM.
Conclusion
The level of contraceptive use among adolescent mothers was 18.7%. The HBM constructs which were associated with contraceptive use were perceived susceptibility, perceived barriers and perceived self-efficacy. Programmes and interventions to increase contraceptive use should focus on heightening the perception of risk of adolescents regarding pregnancy complications, reducing barriers to contraceptive use and increasing the skills in negotiating contraceptive use.
The increase in contraceptive use among adolescent mothers in the Volta Region of Ghana can help to achieve two targets of the Sustainable Development Goal (SDG) 3: reducing the global maternal mortality ratio to less than 70 per 100,000 live births and ending preventable deaths of newborns and children under 5 years of age by the year 2030. It can also help to achieve SDG 5: gender equality and empower all women and girls7.
Acknowledgements
None.
Competing interests
The authors declare that they have no financial or personal relationships that may have inappropriately influenced them in writing this article.
Data availability
Data will be made available upon request.
References
- 1.WHO, author. Global standards for quality health care services for adolescents. Geneva, Switzerland: 2015. [Google Scholar]
- 2.WHO, author. Family Planning Fact Sheet. No. 35. Geneva, Switzerland: 2013. [Google Scholar]
- 3.Sunnu E, Adatara P. Knowledge, Attitudes, and Beliefs toward Contraceptive Use among Women and Men in the Ho Municipality in the Volta Region, Ghana. The Journal of Middle East and North Africa Sciences. 2016;10(3926):1–9. [Google Scholar]
- 4.GSS, GHS, ICF International, author. The 2014 Ghana Demographic and Health Survey Accra, Ghana. 2015. [Google Scholar]
- 5.Wilson HW, Ameme DK, Ilesanmi OS. Contraceptive Methods Accessed in Volta Region, Ghana, 2009–2014. International Scholarly Research Notices. 2017 doi: 10.1155/2017/7257042. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.GSS, GHS, ICF International, author. The 2008 Ghana Demographic and Health Survey Accra, Ghana. 2009.
- 7.USAID, author. Family planning in Sustainable Development Goals Report. 2015.
- 8.Bartholomew LK, Parcel G, Kok G, Gottlieb NH. Behavior oriented theories used in health promotion. In: Allegrante J, McLeroy K, editors. Planning Health Promotion Programs. San Francisco: Jossey-Bass; 2006. pp. 81–135. [Google Scholar]
- 9.Jones CL, Jensen JD, Scherr CL, Brown NR, Christy K, Weaver J. The health belief model as an explanatory framework in communication research: Exploring parallel, serial, and moderated mediation. Health communication. 2015;30(6):566–576. doi: 10.1080/10410236.2013.873363. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Hazavehei SM, Taghdisi MH, Saidi M. Application of the Health Belief Model for osteoporosis prevention among middle school girls, Garmsar, Iran. Educ Health (Abingdon) 2007;20(1):23. [PubMed] [Google Scholar]
- 11.Khani JA, Hidarnia A, Kaveh MH, Hajizadeh E. The effect of a prevention program based on health belief model on osteoporosis. J Res Health Sci. 2015;15(1):47–53. [PubMed] [Google Scholar]
- 12.Schnell-Hoehn KN, Naimark BJ, Tate RB. Determinants of self-care behaviors in community-dwelling patients with heart failure. J Cardiovasc Nurs. 2009;24(1):40–47. doi: 10.1097/01.JCN.0000317470.58048.7b. [DOI] [PubMed] [Google Scholar]
- 13.Yehle KS, Plake KS. Self-efficacy and educational interventions in heart failure: a review of the literature. J Cardiovasc Nurs. 2010;25(3):175–188. doi: 10.1097/JCN.0b013e3181c71e8e. [DOI] [PubMed] [Google Scholar]
- 14.Dunbar SB, Clark PC, Quinn C, Gary RA, Kaslow NJ. Family influences on heart failure self-care and outcomes. J Cardiovasc Nurs. 2008;23(3):258–265. doi: 10.1097/01.JCN.0000305093.20012.b8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Goodarzi A, Heidarnia A, Tavafian SS, Eslami M. Predicting oral health behaviors among Iranian students by using health belief model. J Educ Health Promot. 2019;8:10. doi: 10.4103/jehp.jehp_10_18. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Rezapour B, Mostafavi F, Khalkhali H. Theory-based health education: Application of Health Belief Model for Iranian Obese and Overweight students about physical activity in Urmia, Iran. Int J Prev Med. 2016;7:115. doi: 10.4103/2008-7802.191879. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Karimy M, Araban M, Zareban I, Taher M, Abedi A. Determinants of adherence to self-care behavior among women with type 2 diabetes: an explanation based on the health belief model. Med J Islam Repub Iran. 2016;30:368. [PMC free article] [PubMed] [Google Scholar]
- 18.Tarkang EE, van der Wal DM, Ehlers VJ. The explanatory power of factors associated with the perception of risk contracting HIV among senior secondary school learners in Kumba Cameroon. Africa Journal of Nursing and Midwifery. 2011;13(2):77–91. 1682-5055. [Google Scholar]
- 19.Tarkang EE, Pencille LB. Psychosocial predictors of consistent condom use among migrant road construction workers in the Southwest Region of Cameroon using the Health Belief Model. Pan African Medical Journal. 2018;29:215. doi: 10.11604/pamj.2018.29.215.15130. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Volta Regional Health Directorate, author. District health management data. Ho, Ghana: 2018. [Google Scholar]
- 21.Magnani R. Sampling guide. Food Security and Nutrition Monitoring (IMPACT) Project. 1999.
- 22.Agresti A. An introduction to categorical data analysis. New York: Wiley; 2007. [Google Scholar]
- 23.Machira K, Palamuleni ME. Health Care Factors Influencing Teen Mothers' Use of Contraceptives in Malawi. Ghana Medical Journal. 2017;51(2):88–93. [PMC free article] [PubMed] [Google Scholar]
- 24.Nyarko HS. Prevalence and Correlates of Contraceptive use among Female Adolescence in Ghana. BMC Womens Health. 2015;15:60. doi: 10.1186/s12905-015-0221-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Mahmood SE, Srivastava A, Shrotriya VP, Shaifali I, Mishra P. Postpartum contraceptive use in rural Bareilly. Indian Journal of Community Health. 2011;23(2):56–57. [Google Scholar]
- 26.Kahsay ZH, Tegegne D, Mohammed E, Kiros G. Application of individual behavioral models to predict willingness to use modern contraceptives among pastoralist women in Afar region, Northern Ethiopia. PloS One. 2018;13(5):e0197366. doi: 10.1371/journal.pone.0197366. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Budu E. Contraceptive use among adolescent mothers in the Cape Coast Metropolitan. 2017. (MPhil dissertation, University of Cape Coast)
- 28.Ukegbu AU, Onyeonoro UU, Nwokeukwu HI, Okafor GOC. Contraceptive Method Preferences, Use and Satisfaction among Women of Reproductive Age (15-49 Years) in Umuahia, Abia State, Nigeria. J Contracept Stud. 2018;3(3):16. [Google Scholar]
- 29.Izale K, Govender I, Fina JPL, Tumbo J. Factors that influence contraceptive use amongst women in Vanga health district, Democratic Republic of Congo. African Journal of Primary Health Care & Family Medicine. 2014;6(1):1–7. doi: 10.4102/phcfm.v6i1.599. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Nyewie M. Factors Influencing Uptake of Modern Contraceptives among Adolescents in Yendi Municipality, Northern Ghana. 2019. (Doctoral dissertation, University of Ghana)
- 31.Wuni C, Turpin CA, Dassah ET. Determinants of contraceptive use and future contraceptive intentions of women attending child welfare clinics in urban Ghana. BMC Public Health. 2018;18(1):79. doi: 10.1186/s12889-017-4641-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Bader VG. Influences on contraceptive use among college women. 2015. (Doctoral dissertation)
- 33.Muhindo R, Okonya JN, Groves S, Chenault M. Predictors of contraceptive adherence among women seeking family planning services at Reproductive Health Uganda, Mityana Branch. International Journal of Population Research. 2015:574329. [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
Data will be made available upon request.
