Research Article - Diabetes Management (2017) Volume 7, Issue 2
Male participation in safe motherhood in selected village development committee of Morang, Nepal, 2016
- Corresponding Author:
- Dahal Punam
Norvic Institute of Nursing Education
Maharajgunj, Kathmandu 44600, Nepal
E-mail: pd_neupane yahoo.com
Abstract
Background and Objective: Men can affect pregnancy and childbirth. However, the role of husbands in maternal health is often overlooked and neglected. Thus the objective of this study is to assess the Male participation in Safe Motherhood. Methods: A descriptive cross sectional research study was conducted in community people of Bahuni Village Development Committee, Morang Ward no 8. Systemic sampling technique was used to select 87 participants. Similarly, semi-structured questionnaire with self-reported face to face interview technique was used for data collection. The obtained data were summarized using frequency and percentage for socio-demographic factors, knowledge and practice while one way ANOVA was used to assess the differences in knowledge and practice of the male participation in safe motherhood based on demographic characteristics. Besides these, Pearson's correlation coefficient was computed to describe the relationship between knowledge of safe motherhood and practice of participation among male. Results/Findings: Among 87 participants, all (100%) have inadequate knowledge in safe motherhood and almost all of them (96.6%) have a low participation. Despite inadequate knowledge and low practice in majority, comparison among socio-demographic variables showed Buddhist had comparatively higher knowledge (Mean 17.39, SD 6.14) and high participation (Mean 30.25, SD 13.33). Similarly, Brahmin and Chettri had more knowledge (Mean 21.49, SD 12.51) and high participation (Mean 33.16, SD 14.28), Graduate and above education had more knowledge (Mean 39.13, SD 6.23) and high participation (Mean 64.70, SD 8.5). Similarly, Government job holders had more knowledge (Mean 21.30, SD 10.93) and high participation (Mean 35.88, SD 14.79). Lastly, High income had more knowledge (Mean 22.65, SD 9.78) and high participation (Mean 24.13, SD 13.52) than low income. There is the significant association between the ethnicity, education, occupation, income with knowledge and practice (p-value <0.05). There is high positive (88.2%) correlation between knowledge and practice. Conclusion: All participants had inadequate knowledge, and also their participation in safe motherhood is very low. There is the significant association between the ethnicity, education, occupation, income with knowledge and practice (p-value <0.05). It clearly showed that the health professionals from each region of the country should make efforts to make the maximum participation of male in safe motherhood issues.
Keywords
male participation, safe motherhood, knowledge, maternal mortality
Introduction
“Safe motherhood means creating the circumstances within which a women is able to choose whether she becomes pregnant and if she does, ensuring that she receives care for prevention and treatment of pregnancy complications, that she has access to skill birth attendance, and if she needs it to emergency obstetric care and care after birth to prevent death or disability from complication of pregnancy and childbirth” [1].
Globally every day in 2015, about 830 women died due to complications of pregnancy and child birth. Almost all of these deaths occurred in low-resource settings, and most could have been prevented. The primary causes of death are hemorrhage, hypertension, infections, and indirect causes, mostly due to interaction between pre-existing medical conditions and pregnancy. Of the 830 daily maternal deaths, 550 occurred in sub-Saharan Africa and 180 in Southern Asia, compared to 5 in developed countries. The risk of a woman in a developing country dying from a maternal-related cause during her lifetime is about 33 times higher compared to a woman living in a developed country [2].
Nepal has one of the highest maternal mortality ratios in Asia, at 281 deaths per 100,000 live births. Multiple risk factors have been identified including the absence of skilled care at birth, delayed health-seeking and lack of access to health facilities. These risk factors are prominent in rural areas and particularly relevant for Nepal as 90 % of the population resides in rural areas and nationally only a third of deliveries occur in health facilities. The majority of births occur at home and many women deliver with relatives, friends, untrained traditional birth attendants, or even alone, with its attendant risks [3].
According to Nepal Demographic Profile (2016), maternal mortality rate is reducing then before i.e., 258 deaths/100,000 live births [4].
Evidences suggested that three delays are of critical importance to the outcomes of an obstetric emergency in Nepal’s context: i) delay in seeking care, (ii) delay in reaching care, and (iii) delay in receiving care [5].
According to professor Mahmoud Fathalla, ‘’women are dying during pregnancy and child birth not only because of conditions that are difficult to manage, but women are dying because the society in which they live did not see it fit to invest what is needed to save their lives’’ [6].
Male involvement in pregnancy and childbirth influences pregnancy outcomes. It reduces negative maternal health behaviors, risk of preterm birth, low birth weight, fetal growth restriction and infant mortality. There is epidemiological and physiological evidence that male involvement reduces maternal stress (by emotional, logistical and financial support), increases uptake of prenatal care, leads to cessation of risk behaviors (such as smoking), and ensures men’s involvement in their future parental roles from an early stage [7].
It seems that almost all women in industrialized countries have their partner with them during labour and birth [8]. Despite decades of safe motherhood programs, maternal mortality rate in Nepal is high. The major causes of death include: postpartum hemorrhage, obstructed labour, hypertension, postpartum infection and abortion related complications [9].
To reduce maternal mortality and morbidity, interventions had been made in the areas of implementation of safe motherhood initiatives and hospital care. Despite the interventions, studies continue to show that existing strategies to save mothers’ lives had been less successful. This may be due to less emphasis placed on the adverse maternal outcomes due to social factors that surround decision making at home in obstetric care and the husbands involvement [10]. It has been suggested that fertility, particularly in developing countries would have been lower if women were in the position to decide when to become pregnant and how many children they want to have, because it is women that undergo all the sicknesses associated with pregnancy and delivery and they may lose their lives as a result of pregnancy and childbirth [11]. The husband’s permission is required before a woman can take any step regarding her own health [12]. Though studies have been done on male involvement in reproductive health, only few studies have examined the male participation in Safe motherhood.
Methodology
A descriptive cross sectional study was conducted with a sample of 87 males selected by probability systemic sampling technique who were having children below 5 years Bahuni Village Development Committee (VDC), ward no.8, Morang from August to December 2016. Standard Interview Schedule was taken from the survey tools and indicators for maternal and newborn health developed by Jhpiego, an affiliate of Johns Hopkins University. Some modifications were done in local context as per objectives of the study by pretesting the tool in 10% of similar but different samples in different setting. Internal consistency of tool was assessed by Cronbach’s alpha (α) coefficients (α=0.7). The interview schedule comprised of three parts i.e., Part I: Questions regarding the sociodemographic data, Part II: Questions related to the knowledge on safe motherhood and Part III: Questions related to the safe motherhood practices. It was prepared in English language then translated in Nepali language.
Formal approval letter was taken from concerned authority of research committee of Norvic Institute of Nursing Education and from the concerned authority of Bahuni VDC. The informed written consent was taken from each participant and ethical approval was taken from Nepal Health Research Council (NHRC).
Data was checked for completeness and accuracy and collected data was entered in SPSS Software version 20. The findings are presented in the tables and charts using appropriate statistics according to the objectives of the study. The frequency and percentage of (socio demographic characteristics, knowledge and practice) was obtained by descriptive statistics. Association between the selected socio-demographic variables with knowledge and practice was obtained by using inferential statistics (‘p’ value <0.05 reflects association). The relationship between the knowledge and practice was obtained by using the bivariate analysis technique. The knowledge level less than 50% was considered as inadequate knowledge whereas more than 50 adequate. Similarly the level of participation less than 50% was considered as low level however more than it as high.
Findings
▪ Demographic patterns
TABLE 1 shows that majorities (83.9%) of the participants were Hindu and the minorities (8%) were Christian and Buddhists. The majority (58.6%) of participants were Dalit and Janjati and the minority (41.4%) were Brahmin and Chettri. Most of them (28.7%) were literate with primary level education and least (1.1%) were graduate and above. The majority (52.9%) of them were farmers and least (5.7%) were private job holder. Among total majority (78.2%) were of low income and minority (21.8%) were from high income.
Variables | Frequency | Percent |
---|---|---|
Religion | ||
Buddhist | 7 | 8 |
Christian | 7 | 8 |
Hindu | 73 | 83.9 |
Ethnicity | ||
Brahmin, chettri | 36 | 41.4 |
Dalit, janajati | 51 | 58.6 |
Education | ||
Illiterate | 14 | 16.1 |
Literate only | 21 | 24.1 |
Primary | 25 | 28.7 |
Secondary | 16 | 18.4 |
Higher secondary | 10 | 11.5 |
Graduate and above | 1 | 1.1 |
Occupation | ||
Government | 10 | 11.5 |
Private sector | 5 | 5.7 |
Farmer | 46 | 52.9 |
Labor/driver | 14 | 16.1 |
Own business | 12 | 13.8 |
Income | ||
Low | 68 | 78.2 |
High | 19 | 21.8 |
Table 1: Socio demographic data of the participants (n=87).
TABLE 2 shows most of them (82.8%) had radio and least (9.2%) had internet as mass media used in family. The majority (34.5%) of the participants had a >30 min distance between home and health care facilities.
Variables | Frequency | Percent |
---|---|---|
Source of information | ||
Radio | 72 | 82.8 |
Television | 59 | 67.8 |
Newspaper | 15 | 17.2 |
Internet | 8 | 9.2 |
Distance Between Home and Health Care Facilities | ||
10 min | 19 | 21.8 |
20 min | 16 | 18.4 |
30 min | 22 | 25.3 |
>30 min | 30 | 34.5 |
Table 2: General information of the participants (n=87).
TABLE 3 shows knowledge in perinatal danger signs. Majority (46%) have knowledge on antenatal danger signs of which majority (42.5%) reported bleeding. Only (18.4%) have knowledge on danger signs of labor among which majority (16.1%) reported prolonged labor. Only (39.1%) have knowledge on postnatal danger signs among which majority (39.7%) reported fever.
Component | Frequency | Percent | ||
---|---|---|---|---|
Knowledge on antenatal danger signs | ||||
Yes | 40 | 46 | ||
Antenatal danger signs (n=40) | ||||
Headache | 6 | 6.9 | ||
Swelling | 3 | 3.4 | ||
Pain | 10 | 11.5 | ||
Tremor | 19 | 21.8 | ||
Bleeding | 37 | 42.5 | ||
Knowledge on Danger signs of labor | ||||
Yes | 16 | 18.4 | ||
Danger signs of labor (n=16) | ||||
Prolonged labor | 14 | 16.1 | ||
Abnormal pressure | 0 | 0 | ||
Fainting | 3 | 3.4 | ||
Bleeding | 0 | 0 | ||
Knowledge on postnatal danger signs | ||||
Yes | 34 | 39.1 | ||
Postnatal danger signs (n=34) | ||||
Fever | 33 | 37.9 | ||
Discharge | 8 | 9.2 | ||
Bleeding | 7 | 8 | ||
Headache | 1 | 1.1 | ||
Fainting | 2 | 2.3 |
Table 3: Knowledge related to perinatal danger signs (n=87).
TABLE 4 shows knowledge in safe motherhood. Majorities (98.9%) have agreed that antenatal checkup is needed during pregnancy of which only (47.1%) have knowledge on ≥4 antenatal checkups are needed. Majority (88.5%) has agreed that post natal checkup is needed after child birth of which only (49.3%) have knowledge on ≥3 postnatal checkups are needed. Only (1.1%) have knowledge about the safe delivery kit.
Component | Frequency | Percent |
---|---|---|
Need of ANC checkup | ||
Yes | 86 | 98.9 |
Number of ANC checkup needed (n=86) | ||
One | 11 | 12.79 |
Two | 9 | 10.46 |
Three | 25 | 29.06 |
Four and more | 41 | 47.1 |
Need of PNC checkup | ||
Yes | 77 | 88.5 |
Number of PNC checkup needed (n=77) | ||
One | 26 | 33.76 |
Two | 13 | 16.88 |
Three and more | 38 | 49.3 |
Knowledge on safe delivery kit | ||
Yes | 1 | 1.1 |
Table 4: Knowledge related to safe motherhood (n=87).
TABLE 5 shows the practice of accompanying spouse for perinatal checkup. Majority (70.1%) accompanied their spouse for antenatal checkup of which (49.18%) participated for complete four antenatal checks up and not having leisure (38.46%) was a reason for not accompanying. Among total only (29.9%) accompanied for labor, 67.21% reported cultural beliefs as the reasons for not accompanying their spouse during childbirth. Only (44.8%) accompanied for post natal checkup of which 43.58% had a practice of accompanying their spouse for complete 3 postnatal checkups, 58.33% reported of being out of home as reason for not accompanying their spouse for post natal checkup.
Component | Frequency | Percent |
---|---|---|
Accompany for ANC checkup | ||
Yes | 61 | 70.1 |
Number (n=61) | ||
One | 8 | 13.11 |
Two | 18 | 29.03 |
Three | 5 | 8.19 |
Four | 30 | 49.18 |
Reason of not accompanying (n=26) | ||
Out of home | 8 | 30.76 |
Cultural beliefs | 3 | 11.53 |
Female business | 5 | 19.23 |
No leisure | 10 | 38.46 |
Accompany during the labor | ||
Yes | 26 | 29.9 |
Reasons for not accompanying | ||
Out of home | 9 | 14.5 |
Cultural beliefs | 41 | 67.21 |
Female business | 10 | 16.39 |
No leisure | 1 | 1.63 |
Accompany for PNC checkup | ||
Yes | 39 | 44.8 |
Number (n=39) | ||
One | 10 | 25.64 |
Two | 12 | 30.76 |
Three | 17 | 43.58 |
Reasons for not accompanying | ||
Out of home | 28 | 58.33 |
Cultural beliefs | 1 | 2.08 |
Female business | 1 | 2.08 |
No leisure | 9 | 18.75 |
Table 5: Practice related to accompanying for perinatal check-up (n=87).
TABLE 6 shows the practice related to safe motherhood. Majority (97.7%) of participants provided the money for transportation and medicines, 95.4% saved money for delivery, 57.5% planned place of delivery, 49.4% planned for transportation,14.9% arranged blood donors and no one purchased safe delivery kit,4.6% arranged SBA. In majority (35.6%) all family members took part in deciding the place of delivery.
Component | Frequency | Percent |
---|---|---|
Money for transportation | ||
Yes | 85 | 97.7 |
Saving money | ||
Yes | 83 | 95.4 |
Planning place of delivery | ||
Yes | 50 | 57.5 |
Planning transportation | ||
Yes | 43 | 49.4 |
Arranging blood donors | ||
Yes | 13 | 14.9 |
Purchasing safe delivery kit | ||
Yes | 0 | 0 |
Arranging skilled birth attendant | ||
Yes | 4 | 4.6 |
Deciding the place of delivery | ||
Husband | 11 | 12.6 |
All family | 31 | 35.6 |
Mother | 20 | 23 |
Wife | 9 | 10.34 |
Husband and wife | 16 | 18.4 |
Table 6: Practice related to safe motherhood (n=87).
TABLE 7 Shows all (100%) of the participants have inadequate knowledge.
Level | Frequency | Percent |
Inadequate | 87 | 100 |
Table 7: Level of knowledge of participants in safe motherhood (n=87).
TABLE 8 Shows majority (96.6%) have a low participation.
Level | Frequency | Percent |
---|---|---|
Low | 84 | 96.6 |
High | 3 | 3.4 |
Table 8: Level of male participation in safe motherhood (n=87).
TABLE 9 Shows comparison to other religions, Buddhist had more knowledge. (Mean 17.39, SD 6.14) than others. Similarly, Brahmin and Chhetri had more knowledge (Mean 21.49, SD) than others, Graduate and above education had more knowledge (Mean 39.13, SD 6.23) than other education level. Similarly, Government job holders are more knowledge us (Mean 21.30, SD 10.93) than other occupations. Lastly, High income had more knowledge (Mean 22.65, SD 9.78) than low income.
Variables | Mean | Standard Deviation | *p value | |
---|---|---|---|---|
Religion | Buddhist | 17.3913 | 6.14875 | 0.186 |
Christian | 5.5901 | 5.45029 | ||
Hindu | 13.52 | 13.2939 | ||
Ethnicity | Brahmin, chettri | 21.4976 | 12.5128 | 0 |
Dalit, janajati | 7.3316 | 8.88873 | ||
Education | Illiterate | 1.8634 | 2.80959 | 0 |
Literate only | 4.9689 | 5.01146 | ||
Primary | 14.9565 | 12.681 | ||
Secondary | 20.1087 | 11.099 | ||
Higher secondary | 28.2609 | 6.23357 | ||
Graduate and above | 39.1304 | |||
Occupation | Government | 21.3043 | 10.9322 | 0.001 |
Private | 20 | 8.47547 | ||
Farmer | 12.7599 | 13.0403 | ||
Labor, Driver | 2.1739 | 4.0893 | ||
Own business | 18.1159 | 11.8467 | ||
Income | Low | 10.5499 | 12.0733 | 0 |
High | 22.6545 | 9.78437 |
Table 9: Association between socio demographic variables with knowledge. *One way ANOVA test.
There is significant association between the religion, ethnicity, education, occupation, income with knowledge (p value <0.05).
TABLE 10 Shows comparison to other religions, Buddhist had high practice (Mean 30.25, SD 13.33) than others. Similarly, Brahmin and Chhetri had high practice (Mean 33.16, SD 14.28) than others, Graduate and above education had high practice (Mean 64.70, SD 8.5) than other education level. Similarly, Government job holders are high practice (Mean 35.88, SD 14.79) than other occupations. Lastly, High income had high practice (Mean 24.13, SD 13.52) than low income.’ There is significant association between the religion, ethnicity, education, occupation, income with practice (p value <0.05).
Variables | Mean | Standard Deviation | *p value | |
---|---|---|---|---|
Religion | Buddhist | 30.2521 | 13.3399 | 0.18 |
Christian | 16.8067 | 5.29256 | ||
Hindu | 25.141 | 14.2835 | ||
Ethnicity | Brahmin, chettri | 33.1699 | 14.2815 | 0 |
Dalit, janajati | 19.0311 | 10.2284 | ||
Education | Illiterate | 12.1849 | 5.86617 | 0 |
Literate only | 15.1261 | 4.76849 | ||
Primary | 27.0588 | 12.2551 | ||
Secondary | 32.3529 | 10.7397 | ||
Higher secondary | 41.7647 | 8.52434 | ||
Graduate and above | 64.7059 | |||
Occupation | Government | 35.8824 | 14.7906 | 0 |
Private | 35.2941 | 17.1499 | ||
Farmer | 24.4246 | 13.2389 | ||
Labor, Driver | 13.4454 | 5.37573 | ||
Own business | 26.4706 | 11.8976 | ||
Income | Low | 21.6263 | 12.2145 | 0 |
High | 24.8817 | 13.525 |
Table 10: Association between socio demographic variables with practice. *One way ANOVA test.
TABLE 11 shows there is the high positive (88.2%) relation between knowledge and practice.
 Knowledge |  Practice | ||
---|---|---|---|
Knowledge | Pearson Correlation | 1 | 0.882** |
Sig. (2-tailed) | - | 0 | |
Practice | Pearson Correlation |  0.882** | 1 |
Sig. (2-tailed) | 0 | - |
Table 11: Correlation between participants’ knowledge and practice.
Discussion
The findings of this study have been discussed in association with socio-demographic factors, Knowledge regarding safe motherhood, practice regarding safe motherhood, association of selected socio-demographic factors with knowledge and practice, relationship between knowledge and practice.
▪ Socio demographic factors
The demographic pattern of 87 male participants having children below 5 years studied were religion, ethnicity, education, occupation, income, mass media and distance between home and health care facilities. In relation to this majority of the participants were literate with primary level education which is similar to the report by WHO in Nepal 2002 [13] in which 32.2% participants have primary level education.
We have the target of second long term health plan to have essential health care services available up to 90% of the population living within 30 min travel to the health facility [14] which is similar to this study in which majority (65.5%) of the participants were residing in the less than 30 min distance from the health facility.
▪ Knowledge regarding safe motherhood
All of the participants in this study have inadequate knowledge about the safe motherhood this might be due to, less emphasis regarding the male involvement in safe motherhood programs. Since in the developing countries like Nepal where various non-governmental organizations and international non-governmental organizations are working for maternal health and pregnancies issues, making various strategies for maternal health improvement. It cannot be said that awareness programs and health teaching is not being conducted in the corners of our country Nepal but the fact is male involvement is often overlooked and neglected. However, 100% of participants have inadequate knowledge which is contrast to the study conducted in Nellore where participants had 60% [15]. But the variation might be due to the difference in data analysis and interpretation.
In current study, only few of the participants have knowledge on danger signs of labor, their participation during the labor was also dissatisfactory and 67.21% provided cultural beliefs as the reason for not participating, this seemly argues of lacking adequate knowledge among the people though there occurs a physiological process in female but the evidence suggests that women place a high value on their partner’s presence and support in labour, leading to reduced anxiety, less perceived pain, greater satisfaction with the birth experience, lower rates of postnatal depression and improved outcomes in the child [16].
▪ Practice regarding safe motherhood
In current study, result of practice related to providing money for transportation and medicines was (97.7%) which is similar to the study conducted by Olayemi in Nigeria which is (94.6%) [17].
Furthermore, result of practice related to preparation for skilled birth assistance was (4.6%) which is similar to the study conducted by Zubairu in the year 2010 in Nigeria (6.2%) [18].
Moreover, result of practice related to arrangement of potential blood donor was 14.9% which is similar to the study conducted by Wai during the year 2015 in Myanmar where there is (15.5%) a practice of arranging blood donor [19].
Likewise result of practice related to savings for emergencies was(95.4%) which is not similar to the study conducted by Zubairu Il (19.5%) this variation might be due to the “Ama Samuha” approach of saving money for emergency condition and a daily money saving (piggybank) for delivery in rural community of Nepal [18].
In fact there is very low (96.6%) male participation in safe motherhood issues [20].
▪ Association of socio demographic factors with knowledge and practice
In this study there was an association between the education and practice which is similar to the study conducted by WHO in Nepal 2002 [13] in which there is also the significant association between knowledge and practice. Despite inadequate knowledge and low practice in majority, comparison among socio-demographic variables showed Buddhist had more knowledge (Mean 17.39, SD 6.14) and high participation (Mean 30.25, SD 13.33) [21]. Similarly, Brahmin and Chhetri had more knowledge (Mean 21.49, SD 12.51) and high participation (Mean 33.16, SD 14.28), Graduate and above education had more knowledge (Mean 39.13, SD 6.23) and high participation (Mean 64.70, SD 8.5) [22]. Similarly, Government job holders are more knowledge us (Mean 21.30, SD 10.93) along with high participation (Mean 35.88, SD 14.79) [23]. Lastly, High income had more knowledge (Mean 22.65, SD 9.78) and high participation (Mean 24.13, SD 13.52) than low income. Above mentioned data showed, those groups having more knowledge had more practice than others [24].
▪ Relationship between knowledge and practice
In this study there is the high positive relationship between knowledge and practice [25].
Conclusion
The findings of this study identified that all of the participants had inadequate knowledge. Likewise, majority of males (96.6%) have a low participation in safe motherhood. Despite decades of safe motherhood programs, maternal mortality rate in Nepal is still high. Though most of the participants agreed the need for safe motherhood practice but the actual participation is very low. Health professionals from each region of the country should make efforts to make the maximum participation of male in safe motherhood issues [25-28].
Acknowledgement
Researcher is deeply indebted to Jhpiego, an affiliate of Johns Hopkins University for survey tools and indicators for maternal and newborn health.
Conflict of interest
None.
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