Literature DB >> 29781684

Husbands' participation in birth preparedness and complication readiness and associated factors in Wolaita Sodo town, Southern Ethiopia.

Minyahil Tadesse1, Andualem T Boltena, Benedict O Asamoah.   

Abstract

BACKGROUND: The poor emphasis on the role of husbands in birth preparedness and complication readiness (BPCR) is a major factor that should be addressed in tackling maternal mortality. AIM: To assess the level of husbands' participation in BPCR and associated factors.
SETTING: Wolaita Sodo town, Southern Ethiopia.
METHODS: A community based cross-sectional study was conducted among 608 husbands of pregnant women and nursing mothers. Multivariate logistic regression model was used for the analysis.
RESULTS: Forty-five per cent of husbands studied had poor participation in BPCR. Out of the total husbands studied, 40% (235) did not identify transportation, 49% (291) did not accompany their wives to antenatal care (ANC) clinic, 59% (350) did not identify skilled birth attendant, 26% (155) did not identify health facility for delivery and 30% (179) did not save money for emergency. Only 42% (250) of husbands had awareness of emergency conditions, while 75% (444) did not make postpartum plan. Husbands who knew the place of birth of the baby [adjusted odds ratio (AOR) = 7.23; 95% confidence interval (CI): 2.98-17.54] and those who discussed with their wives about birth preparedness (AOR = 2.03; 95% CI: 1.37-3.02) were significantly more likely to participate in BPCR compared to those who did not.
CONCLUSION: Participation of husbands in BPCR was poor in the study area. The level of participation in relation to selection of service provider and health facility, financial and transportation planning for delivery and identifying blood donor needs attention to achieve better husband participation in BPCR.

Entities:  

Keywords:  Ethiopia; birth preparedness and complication readiness; husbands participation; maternal health

Mesh:

Year:  2018        PMID: 29781684      PMCID: PMC5913778          DOI: 10.4102/phcfm.v10i1.1471

Source DB:  PubMed          Journal:  Afr J Prim Health Care Fam Med        ISSN: 2071-2928


Introduction

Maternal mortality is one of the most sensitive indicators of health disparity among low-, middle- and high-income countries and remains largely a major contributor to unmet public health concerns globally. Remarkable disparities in maternal deaths exist between and within countries, with wide variations between the rich and the poor, and urban and rural areas.[1,2] For instance, in 2015, the risk of losing one’s life through pregnancy in the sub-Saharan African region was 1:36 compared to the global average lifetime risk of 1:180. At the country level, in 2015, lifetime risks of maternal deaths ranged from 1 death per 23 700 women in Greece to 1 death per 17 in Sierra Leone.[3] The Fifth Millennium Development Goal (MDG 5), which sought a 75% reduction in every country’s maternal mortality ratio by 2015, lagged the farthest behind in developing countries. Estimates from 2015 indicated that 546 maternal deaths per 100 000 live births were recorded in sub-Saharan Africa compared to 216 maternal deaths per 100 000 live births worldwide.[1,3] With the new global sustainability agenda, more effort and marked acceleration in progress are needed to achieve the sustainable development goal (SDG) 3.1, which seeks to reduce the global maternal mortality ratio to less than 70 per 100 000 live births.[1] The major causes of maternal deaths are severe bleeding, pregnancy-induced hypertension, infections, obstructed labour, unsafe abortion and other pre-existing conditions exacerbated by pregnancy. Generally, high fertility rate in sub-Saharan African countries coupled with economic, sociocultural, health systems and policy factors accounts for the high maternal mortality rate experienced in this region.[1,4] Thus, most maternal deaths are preventable through access to and utilisation of effective modern contraception, good quality antenatal care (ANC), skilled birth attendants and postpartum care.[1,4] However, even within countries in sub-Saharan Africa, there exist huge differences in maternal mortality between women from different socio-economic backgrounds.[2] The huge burden of maternal mortality and morbidity and the health systems challenges in this region call for community involvement and strong family or partner support along the continuum of maternal care pathway.[5] One such essential approach is birth preparedness and complication readiness (BPCR), a strategy that has the potential to promote active utilisation of skilled birth attendants and emergency obstetric care.[6] Utilisation of skilled birth attendants and access to emergency obstetric care are proven interventions globally for reducing maternal mortality and saving the life of the newborns. A number of strategies used a framework based on the primary healthcare principles where primary prevention (preventing a condition from occurring through education and services) was distinguished from secondary (detection and treatment of conditions early) and tertiary (treatment of conditions to reduce case fatality) preventions.[7] Although husbands have an important role to play in BPCR, the systematic review by Mittenburg and colleagues in 2015 found that previous studies and interventions on BPCR focused mainly on the mothers. Although a few interventions have targeted husbands and mothers-in-law, most studies exclusively evaluated women’s behaviour as the primary outcome.[8] The role of husbands in BPCR should include knowledge of key danger signs during pregnancy (e.g. severe vaginal bleeding at all stages), labour and childbirth (e.g. prolonged labour, convulsions and retained placenta), and during the postpartum period (e.g. foul-smelling vaginal discharge and high fever). Other roles include identifying transportation and health facility, arrangement for a skilled birth attendant, saving money for delivery and emergency, arrangement for blood donor, accompanying wife and making postpartum readiness plan for both the mother and the baby (which includes provision of food, drinks and the like to assist the mother in exclusive breastfeeding).[9] A study on BPCR among recent fathers in Tanzania found that almost half of the husbands had saved money for delivery and emergency, whereas a very small proportion had identified transport and skilled birth attendant prior to delivery. In another study conducted in Uganda, it was found that factors such as formal education above secondary level, formal occupation and presence of complications were associated with male involvement in BPCR.[10] Attention has long been drawn to the absence of men from previous reproductive health initiatives, although men play a major role in influencing women’s reproductive health, both positively and negatively.[11,12] In order to address this daunting challenge, the 1994 International Conference on Population and Development (ICPD) in Cairo, Egypt, strongly recommended that special efforts should be made to emphasise men’s shared responsibility and promote their active participation in maternal health.[13] Despite this fact, pregnancy and childbirth is regarded as exclusively women’s affair in most African countries.[14,15] A male partner is rarely seen at ANC. A review by Ditekemena in 2012 found that health service factors such as harsh, critical behaviour and language used by health providers, financial constraints, lack of space to accommodate male partners at ANC clinics, long waiting time during ANC services and opening hours for ANC clinics are associated with poor male partner participation in ANC attendance. In addition, socio-demographic factors (such as age, education and profession) and sociocultural factors (such as negative perceptions about men attending ANC clinics and poor communication between men and their female partners) also account for poor male involvement.[16] Nonetheless, men have social and economic power, and have more control over their partners. They decide the timing and conditions of sexual relations, family size and whether or not their spouses will utilise available health care services.[17,18] Hence, involvement of male partner becomes even more critical in patriarchal societies if considerable improvement in maternal health outcome is to be realised. Strategies for involving men in maternal health services ought to aim at raising their awareness about emergency obstetric conditions and engaging them in BPCR.[19] Male involvement will enable men to support their spouses to utilise emergency obstetric services early and the couple would adequately prepare for birth and make themselves ready for complications. Similarly, preparing for birth and being ready for complications would reduce all three phases of delay related to the continuum of maternal health care – delays in deciding to seek care, delays in reaching care and delays in receiving care – and thereby positively impact birth outcomes.[7,20,21] Ethiopia continues to have one of the highest maternal mortality rates in the world, with an estimated maternal mortality of 353 per 100 000 live births in 2015.[22] The health care delivery system in Ethiopia has three tiers, which are characterised by a woreda health setup that encompasses firstly the health centre and health post, secondly the district hospital and lastly the referral hospital. The number of ANC visits that the Government of Ethiopia recommends is the same as that of the World Health Organisation (WHO) recommendation, which is at least four. There is no cost for the ANC services provided for pregnant women.[23] The role of men in maternal health care is seldom understood in Ethiopia. A study conducted in Tigray, Northern Ethiopia, revealed that 20% of husbands refused to use family planning methods.[24] Another study from Tigray reported that only 21% of pregnant mothers were accompanied by their husbands to antenatal clinic, and 16% of husbands were found to disapprove ANC attendance.[25] Because majority of the studies conducted in Ethiopia on BPCR were conducted among mothers,[26,27,28] poor emphasis was given for the role of husbands. Therefore, the aim of this descriptive study is to assess husbands’ participation in BPCR in Wolaita Sodo town, Southern Ethiopia. We hope that this study will shed more light on the magnitude of husbands’ participation in an urban setting in Ethiopia.

Research methods and design

Study area and setting

A community-based cross-sectional study was conducted in Wolaita Sodo town, located in Southern Nations, Nationalities, and Peoples’ Region (SNNPR), which is 327 km from Addis Ababa, the capital of Ethiopia. It has three sub-city administrations consisting of 11 districts. The population of the town was estimated to be 100 755 in 2015, and it has one teaching referral hospital, a non-governmental hospital, seven private medium clinics and three governmental health centres.[28] Antenatal care, delivery care and caesarean section services are offered free of charge by public health facilities to all women in the study area. According to the zonal health department report of Wolaita zone, the prevalence of health facility delivery in 2016 was 25.5%,[29] which is lower than the national facility delivery rate of 26%.[30]

Sample size and sampling procedure

The sample size was determined by using a formula for estimation of single population proportion with the assumption of 95% confidence level, an error margin of 5% and the prevalence of husbands’ participation in BPCR (60%) – taken from a previous study in a rural area.[2] After considering a 10% non-response rate and multiplying by the design effect of 1.5, the total sample size was estimated to be 607. Multistage sampling technique was used. There were three sub-cities consisting of 11 districts in Wolaita Sodo town. Eight districts were randomly selected for this study. For each district, probability proportional allocation to sample size was made according to the total number of households with husbands of pregnant women and nursing mothers. Sampling frame of households with husbands of pregnant women and nursing mothers was known based on the ANC registration in the Wolaita Sodo town health office. Finally, systematic random sampling method was used to select 607 households with husbands of pregnant women and nursing mothers.

Data collection

Data were collected by a pretested structured questionnaire, adopted from JHPIEGO,[8] which was already prepared in English and then translated to Amharic. Eight data collectors, based on their previous experience, were recruited and trained for data collection, and two trained public health officers supervised collection of the data. The research assistants read out the questions loudly and the husbands answered every question accordingly. If prospective participants (husbands of pregnant women or nursing mothers from identified households) were not found at home during the first visit, the data collectors made a second visit the next day to administer the questionnaire. Prior to data collection, all of the study subjects were oriented and well informed about the purpose of the study and their right to accept or refuse to participate in the interview.

Data quality management and entry

Before the actual data collection, the questionnaire was pretested on a similar setting outside the study area. The data collectors and supervisors were trained for 2 days on principles, ethical considerations, procedures and details of the questionnaire. The principal investigator closely monitored the data collection process. Completed questionnaires were checked for their consistency and completeness every day and then entered into EPi-Info version 3.5.4 statistical software, and finally the data were exported to another statistical software package SPSS, version 20.0, for further cleaning and analysis. Statistical significance was set at p < 0.050 and 95% confidence interval (CI).

Operational definition

Outcome variable

Husbands’ participation in BPCR was measured by nine items. For each item, those who responded ‘Yes’ scored 1 and those who responded ‘No’ scored 0. Then the mean score was computed as being four out of the nine items. Good participation in BPCR: Those husbands who practised at least five elements of nine items (Table 2).
TABLE 2

Husbands’ participation in birth preparedness and complication readiness in Wolaita Sodo town, Southern Ethiopia, December 2014 to January 2015.

VariablesResultFrequency (n)%
Identified transportationYes357(60.3)
No235(39.7)
Saved money for deliveryYes446(75.3)
No146(24.7)
Accompanied wife to antenatal careYes301(50.8)
No291(49.2)
Identified blood donorYes108(18.2)
No484(81.8)
Identified skilled birth attendantYes242(40.9)
No350(59.1)
Identified health facilityYes437(73.8)
No155(26.2)
Saved money for emergencyYes413(69.8)
No179(30.2)
Aware of emergency conditionsYes250(42.2)
No342(57.8)
Made postpartum planYes148(25.0)
No444(75.0)
Husband’s participation in birth preparedness and complication readinessGood participation (≥ 5 items)324(54.7)
Poor participation (< 5 items)268(45.3)

, known costs usually associated with delivery, such as transport to health facility.

, extra money for other unforeseen occurrences, which may occur along the continuum of the pregnancy.

Poor participation in BPCR: Those husbands who practised at most four elements of nine items (Table 2). That means husbands who practised four or fewer elements of nine items were categorised as having poor participation in BPCR.

Socio-demographic variables

Husband’s age in years was categorised as ‘20–30 years’, ‘31–40 years’ and ‘41–50 years’. Religion was categorised as ‘Protestant’, ‘Orthodox’, ‘Catholic’ and ‘Muslim’. Husband’s education was classified into four categories: ‘no formal education’, ‘primary education’, ‘secondary education’ and ‘college degree or diploma’. Husband’s occupation was categorised as ‘farmer’, ‘merchant’, ‘daily labourer’, ‘government employed’ and ‘other (taxi driver, farmer)’. Wife’s age in years was categorised as ‘< 20 years’, ‘20–29 years’ and ‘30–39 years’. Wife’s education was classified into four categories, similar to husband’s education. Wife’s occupation was classified as ‘housewife’, ‘merchant’, ‘daily labourer’, ‘government employed’ and ‘other (traditional spinning)’. Family’s monthly income in Ethiopian birr (ETH birr): family income was classified into three categories (< 500, 500–1000, > 1000 ETH birr) using percentiles. The source of information on BPCR was indicated as radio, television, newspaper and discussions with wives, neighbours and health professionals.

Ethical consideration

Ethical clearance was obtained from the Research and Ethical Committee of Wolaita Sodo University, School of Public Health. Informed verbal consent was obtained from each study subject prior to data collection, and the purpose of the study was explained to the respondents in advance. Confidentiality of the information and privacy of the respondents were maintained. During data collection, each of the study participants was communicated that their participation would be voluntary and that they can quit from the study at any time even after the interview has started.

Results

A total of 592 subjects participated in the study, yielding a response rate of 98%. Forty-six per cent of husbands (273) were in the age range of 31–40 years, while slightly above half (52%, 310) were followers of Protestant Christianity. Only 37% (218) of husbands attained educational level of a college degree or diploma, while 28% (163) were government employed by occupation. Regarding socio-demographic characteristics of wives, 60% (355) were aged 20–29 years, 58% (345) were housewives by occupation and 30% (180) had attended primary education. About 64% (381) of the households had income more than 1000 Ethiopian birr (≈ 45 USD) per month. Regarding husbands’ sources of information about BPCR, about half of the husbands (51.4%, 304) had heard about it from radio, whereas 43.9% (260) had heard about it from television. Moreover, only 28.0% (166) of the husbands had read about BPCR from newspapers, while 45.9% (272) reported discussing BPCR with their wives. Nearly one-third of the husbands (31.6%) reported discussing with their neighbours, while nearly one-quarter (22.5%) reported discussing BPCR with a health professional (Table 1).
TABLE 1

Socio-demographic characteristics of (n = 607) husbands in Wolaita Sodo town, Southern Ethiopia, December 2014 to January 2015.

VariablesResultFrequency (#)%
Husband’s age in years20–3025042.2
31–4027346.1
41–506911.7
ReligionProtestant31052.4
Orthodox21135.6
Catholic315.2
Muslim406.8
Husband’s educationNo formal education508.4
Primary education16527.9
Secondary education15926.9
College degree or diploma21836.8
Husband’s occupationFarmer172.9
Merchant17529.6
Daily labourer11319.1
Government employed16327.5
Other12420.9
Wife’s age in years< 207512.7
20–2935560
30–3916227.4
Wife’s educationNo formal education9716.4
Primary education18030.4
Secondary education14825
College degree or diploma16728.2
Wife’s occupationHouse wife34558.3
Merchant7813.2
Daily labourer244.1
Government employed10217.2
Other437.2
Family’s monthly income in Ethiopian birr< 5008814.9
500–100012320.8
> 100038164.4
Husband’s source of information on birth preparedness and complication readinessHeard from radio30451.4
Heard from television26043.9
Read from newspaper16628.0
Discussed with wives27245.9
Discussed with neighbour18731.6
Discussed with health professional13322.5

, taxi driver, farmer.

, traditional spinning.

Socio-demographic characteristics of (n = 607) husbands in Wolaita Sodo town, Southern Ethiopia, December 2014 to January 2015. , taxi driver, farmer. , traditional spinning. Twenty-five per cent (146) of the husbands did not save money for delivery and postpartum and only one in five (108) husbands identified blood donor. Among the husbands studied, 45% (268) had poor participation in BPCR during pregnancy, delivery and postpartum period. Out of the total husbands studied, 40% (235) did not identify transportation, 49% (291) did not accompany their wives to ANC clinic, 59% (350) did not identify skilled birth attendants, 26% (155) did not identify health facility for delivery and 30.2% (179) did not save money for emergency, and only 42% (250) had awareness of emergency condition, while 75% (444) did not make postpartum plan (Table 2). Husbands’ participation in birth preparedness and complication readiness in Wolaita Sodo town, Southern Ethiopia, December 2014 to January 2015. , known costs usually associated with delivery, such as transport to health facility. , extra money for other unforeseen occurrences, which may occur along the continuum of the pregnancy. Socio-demographic characteristics such as husband’s education (college degree or diploma) and wife’s age (20–29 years) and occupation (being government employed) were found to be statistically significantly associated with increased husbands’ participation in BPCR in the bivariate analysis. Among these variables, only having wives aged 20–29 years was (adjusted odds ratio [AOR] = 2.68; 95% CI: 1.40–5.12) found to be significantly associated with increased husbands’ participation in BPCR in the multivariate analysis. Regarding husbands’ participation, those who accompanied wives for ANC visits (AOR [for husbands who followed their wives’ ANC visits four times] = 7.12; 95% CI: 3.74–13.58), those who became aware of their wives’ ANC visit in the second trimesters (AOR = 2.54; 95% CI: 1.01–6.39) and those who planned the place of birth of the baby (AOR = 7.23; 95% CI: 2.98–17.54) were significantly more likely to participate in BPCR. Sources of information and husbands’ participation in BPCR were found to be significantly associated in the bivariate analysis, but only husbands who discussed with their wives about BPCR showed an association in multivariate analysis (AOR = 2.03; 95% CI: 1.37–3.02) (Table 3).
TABLE 3

Factors associated with husbands’ participation in birth preparedness and complication readiness in Wolaita Sodo town, Southern Ethiopia, December 2014 to January 2015.

VariablesResultParticipation in BPCRCOR (95% CI)AOR (95% CI)
Poor participationGood participation
Husband’s educationNo formal education27231-
Primary education98670.80 (0.42–1.51)0.73 (0.32–1.70)
Secondary education69901.53 (0.80–2.89)1.00 (0.43–2.32)
College degree or diploma741442.28 (1.22–4.25)1.24 (0.52–2.93)
Wife’s age in years< 2043321-
20–291581971.67 (1.01–0.77)2.68 (1.40–5.12)
30–3967951.90 (1.09–3.31)1.60 (0.91–2.82)
Wife’s occupationHouse wife1611841-
Merchant36421.02 (0.62–1.67)0.69 (0.38–1.25)
Daily labourer1680.43 (0.18–1.04)0.46 (0.16–1.33)
Government employed36661.60 (1.01–0.53)0.90 (0.48–1.65)
Other19241.10 (0.58–2.09)0.63 (0.28–1.39)
Husband who followed the number of times his wife made ANC visit§One time53544.12 (2.27–7.45)3.91 (2.02–7.59)
Two times4110610.45 (5.84–8.70)8.99 (4.70–17.21)
Three times36576.40 (3.45–11.88)5.73 (2.91–11.31)
Four times45847.54 (4.21–3.51)7.12 (3.74–13.58)
I don’t know93231-
Husband being aware of the trimesters when his wife made first ANC visit1–3921366.50 (3.74–11.30)1.86 (0.73–4.74)
4–6821528.15 (4.68–14.20)2.54 (1.01–6.39)
7–961611.73 (4.08–3.74)2.60 (0.63–10.61)
I don’t know88201-
Husband who knows the planned place of birth of the babyHealth facility21831710.38 (4.62–3.33)7.23 (2.98–17.54)
Home5071-
Husband who heard from radio about BPCRYes1331911.97 (1.41–2.73)1.14 (0.73–1.76)
No1551131-
Husband who heard from television about BPCRYes771833.21 (2.28–4.54)1.76 (1.16–2.66)
No1911411-
Husband who read from newspaper about BPCRYes461202.83 (1.92–4.19)1.80 (1.12–2.89)
No2222041-
Husband who discussed with his wife about BPCRYes811913.31 (2.35–4.66)2.03 (1.37–3.02)
No1871331-
Husband who discussed with neighbour about BPCRYes23582.32 (1.39–3.88)1.04 (0.55–1.98)
No2452661-
Husband who discussed with health professional about BPCRYes29842.88 (1.82–4.56)1.30 (0.70–2.38)
No2392401-

BPCR, in birth preparedness and complication readiness; CI, confidence interval; ANC, antenatal care; COR, crude odds ratio; AOR, adjusted odds ratio.

Statistical significance was set at p< 0.050.

, factors associated with husbands’ participation in birth preparedness and complication readiness.

, independent predictors of husbands’ participation in birth preparedness and complication readiness.

, it is the number of times the husband went to health facility with his wife to follow her ANC visit.

Factors associated with husbands’ participation in birth preparedness and complication readiness in Wolaita Sodo town, Southern Ethiopia, December 2014 to January 2015. BPCR, in birth preparedness and complication readiness; CI, confidence interval; ANC, antenatal care; COR, crude odds ratio; AOR, adjusted odds ratio. Statistical significance was set at p< 0.050. , factors associated with husbands’ participation in birth preparedness and complication readiness. , independent predictors of husbands’ participation in birth preparedness and complication readiness. , it is the number of times the husband went to health facility with his wife to follow her ANC visit.

Discussion

This study has shown that approximately half of the husbands were either not participating at all or had poor participation in BPCR as they were practising four or less elements of the nine items during pregnancy, delivery and postpartum period. This finding indicates higher percentage of husbands not participating in BPCR compared with the study conducted in Mekele town, Northern Ethiopia, in which the husbands who participated in BPCR constituted 40%.[31] In this study, one in four husbands did not save money for delivery and postpartum. Having no money during delivery and postpartum could mean that the mother is subject to high risk of birth complications and death from unskilled birth attendants. The fact that only one in five husbands identified blood donor can be seen as a threat to maternal survival as bleeding during delivery and post-delivery is the topmost cause of maternal mortality. A study conducted in Uganda found that one in 10 women had blood loss during delivery. This could drastically increase the risk of mortality[32] as haemorrhage remains one of the topmost causes of maternal mortality,[1] and most deaths occur within 24–48 h of delivery because of prolonged blood loss.[33] On the other hand, the donated blood should be carefully managed and screened for blood-borne infections such as HIV and hepatitis. Every two out of five husbands did not identify transportation, which implies that during emergency it becomes problematic to transport the mother in time to avoid birth complications or even death. Half of the husbands did not accompany their wives, making them visit the ANC clinic unaccompanied. This is higher compared to the study conducted in Northern Ethiopia.[31] A quarter of the husbands failed to identify the health facility where their wives would deliver and three in five husbands did not identify a skilled birth attendant in this study. This is very worrisome because giving birth with the assistance of a skilled birth attendant is a well-known intervention that drastically reduces maternal mortality and related morbidities.[34,35] About a quarter of the husbands did not save money for emergency, which could indicate not only poor financial planning but also inadequate financial resources to enable saving for such emergencies. Lack of financial resources in emergency situations coupled with lack of other BPCR factors such as having made no pre-arrangements for transport, not being aware of emergencies and having no postpartum plan could form a cluster of risk factors that could eventually lead to the death of the mother because of prolongation of the first two delays in the continuum of care: delay in deciding to seek care and delay in reaching health care facility. Hence, saving money for transportation and essential expenses for delivery and postpartum as well as for unforeseen occurrences as early as possible can save the woman’s life. Thus, interventions that support husbands to make such preparations could also help to save the life of the mother. This study also examined factors associated with husbands’ participation in BPCR. Husbands with wives younger than 20 years were less likely to participate in BPCR as compared to husbands with wives aged 20–29 years and 30–39 years. This finding is consistent with a study conducted in Kinshasa.[36] This could be attributed to the lack of previous experience of complications that wives faced during delivery or postpartum period as for most of the mothers younger than 20 years it could probably be their first birth experience. Another reason could be the lack of active participation in ANC by husbands of these wives. Although wives are counselled by health professionals during ANC to bring their husbands, for most teenage couples, sociocultural factors such as stigma and economic factors could deter husbands from actively participating in ANC attendance. Husbands who knew the place of birth of the baby and reported it to be a health facility were about seven times more likely to actively participate in BPCR compared to their counterparts whose wives gave birth at home. This finding is consistent with a study conducted in Northern Uganda.[37] Husbands whose wives gave birth at health facilities were just below 40%. This is well below the average number of births attended by skilled health professionals in the African region.[1] Having such low level of husbands who have their wives delivering at a health facility implies that the majority of pregnant women are at high risk of maternal mortality because of lack of skilled birth attendants. Association between sources of information and husbands’ participation in BPCR was investigated and all the variables showed an association in the bivariate analysis. However, in the multivariate analysis, only husbands who discussed with their wives about BPCR were found to be significantly more likely to participate (Table 3). This could be because of lack of provision of health information to husbands regarding the utilisation of maternity care and also a lack of open discussion between husbands and wives related to their reduced BPCR. Moreover, usually husbands are the major decision makers in most household issues. Thus, discussion with the husbands regarding the need to be prepared for the birth and subsequent emergencies could have a positive influence on the women’s maternity care services. Unfortunately, in this study, slightly less than half of the husbands did not discuss BPCR with their wives.

Strength and limitations of the study

This study presents a unique perspective to BPCR by evaluating it from the husbands’ perspective. The use of standard tool, pretesting of the questionnaire before actual data collection and training and supervision to control quality of the data add to the strength of this study. Nearly all the subjects were involved in the study. This study utilised a cross-sectional design, which may present difficulties in ascertaining the direction of causality between the variables analysed. Therefore, caution needs to be taken in the interpretation of the findings with regard to causality. The study might be vulnerable to reporting bias, response bias and selection bias. Social desirability bias could arise from the fact that most men in this context would want to uphold or affirm social norms and masculinity values regarding the role of men as providers for the family and are potentially more likely to overreport their preparedness and readiness prior to delivery. However, we do not think that this would be a big problem in our study because we used a standardised questionnaire with multiple questions to assess BPCR. The lack of adjustment for unknown potential confounders in the multivariate regression analysis is also a limitation. This study was conducted in a town (urban setting), which limits its generalisability to rural and similar settings.

Conclusion

Participation of husbands in BPCR was poor in the study area. In relation to the level of preparation and participation, saving money for delivery and identifying blood donor were the lowest. Therefore, interventions should be targeted towards improving male participation through promoting targeted policies and advocacies across all relevant stakeholders’ levels, including community education for men and women. Efforts should be made by the health care system to assist and welcome both men and women at ANC and delivery care.
  25 in total

1.  An analysis of the determinants of maternal mortality in sub-Saharan Africa.

Authors:  Daniel Buor; Kent Bream
Journal:  J Womens Health (Larchmt)       Date:  2004-10       Impact factor: 2.681

Review 2.  Current strategies for the reduction of maternal mortality.

Authors:  Colin Bullough; Nicolas Meda; Krystyna Makowiecka; Carine Ronsmans; Endang L Achadi; Julia Hussein
Journal:  BJOG       Date:  2005-09       Impact factor: 6.531

3.  Missing men's messages: does the reproductive health approach respond to men's sexual health needs?

Authors:  M Collumbien; S Hawkes
Journal:  Cult Health Sex       Date:  2000 Apr-Jun

4.  Male partner voluntary counselling and testing associated with the antenatal services in Kinshasa, Democratic Republic of Congo: a randomized controlled trial.

Authors:  J Ditekemena; R Matendo; O Koole; R Colebunders; M Kashamuka; A Tshefu; N Kilese; D Nanlele; R Ryder
Journal:  Int J STD AIDS       Date:  2011-03       Impact factor: 1.359

5.  Birth preparedness, complication readiness and fathers' participation in maternity care in a northern Nigerian community.

Authors:  Zubairu Iliyasu; Isa S Abubakar; Hadiza S Galadanci; Muktar H Aliyu
Journal:  Afr J Reprod Health       Date:  2010-03

6.  Global, regional, and national levels and causes of maternal mortality during 1990-2013: a systematic analysis for the Global Burden of Disease Study 2013.

Authors:  Nicholas J Kassebaum; Amelia Bertozzi-Villa; Megan S Coggeshall; Katya A Shackelford; Caitlyn Steiner; Kyle R Heuton; Diego Gonzalez-Medina; Ryan Barber; Chantal Huynh; Daniel Dicker; Tara Templin; Timothy M Wolock; Ayse Abbasoglu Ozgoren; Foad Abd-Allah; Semaw Ferede Abera; Ibrahim Abubakar; Tom Achoki; Ademola Adelekan; Zanfina Ademi; Arsène Kouablan Adou; José C Adsuar; Emilie E Agardh; Dickens Akena; Deena Alasfoor; Zewdie Aderaw Alemu; Rafael Alfonso-Cristancho; Samia Alhabib; Raghib Ali; Mazin J Al Kahbouri; François Alla; Peter J Allen; Mohammad A AlMazroa; Ubai Alsharif; Elena Alvarez; Nelson Alvis-Guzmán; Adansi A Amankwaa; Azmeraw T Amare; Hassan Amini; Walid Ammar; Carl A T Antonio; Palwasha Anwari; Johan Arnlöv; Valentina S Arsic Arsenijevic; Ali Artaman; Majed Masoud Asad; Rana J Asghar; Reza Assadi; Lydia S Atkins; Alaa Badawi; Kalpana Balakrishnan; Arindam Basu; Sanjay Basu; Justin Beardsley; Neeraj Bedi; Tolesa Bekele; Michelle L Bell; Eduardo Bernabe; Tariku J Beyene; Zulfiqar Bhutta; Aref Bin Abdulhak; Jed D Blore; Berrak Bora Basara; Dipan Bose; Nicholas Breitborde; Rosario Cárdenas; Carlos A Castañeda-Orjuela; Ruben Estanislao Castro; Ferrán Catalá-López; Alanur Cavlin; Jung-Chen Chang; Xuan Che; Costas A Christophi; Sumeet S Chugh; Massimo Cirillo; Samantha M Colquhoun; Leslie Trumbull Cooper; Cyrus Cooper; Iuri da Costa Leite; Lalit Dandona; Rakhi Dandona; Adrian Davis; Anand Dayama; Louisa Degenhardt; Diego De Leo; Borja del Pozo-Cruz; Kebede Deribe; Muluken Dessalegn; Gabrielle A deVeber; Samath D Dharmaratne; Uğur Dilmen; Eric L Ding; Rob E Dorrington; Tim R Driscoll; Sergei Petrovich Ermakov; Alireza Esteghamati; Emerito Jose A Faraon; Farshad Farzadfar; Manuela Mendonca Felicio; Seyed-Mohammad Fereshtehnejad; Graça Maria Ferreira de Lima; Mohammad H Forouzanfar; Elisabeth B França; Lynne Gaffikin; Ketevan Gambashidze; Fortuné Gbètoho Gankpé; Ana C Garcia; Johanna M Geleijnse; Katherine B Gibney; Maurice Giroud; Elizabeth L Glaser; Ketevan Goginashvili; Philimon Gona; Dinorah González-Castell; Atsushi Goto; Hebe N Gouda; Harish Chander Gugnani; Rahul Gupta; Rajeev Gupta; Nima Hafezi-Nejad; Randah Ribhi Hamadeh; Mouhanad Hammami; Graeme J Hankey; Hilda L Harb; Rasmus Havmoeller; Simon I Hay; Ileana B Heredia Pi; Hans W Hoek; H Dean Hosgood; Damian G Hoy; Abdullatif Husseini; Bulat T Idrisov; Kaire Innos; Manami Inoue; Kathryn H Jacobsen; Eiman Jahangir; Sun Ha Jee; Paul N Jensen; Vivekanand Jha; Guohong Jiang; Jost B Jonas; Knud Juel; Edmond Kato Kabagambe; Haidong Kan; Nadim E Karam; André Karch; Corine Kakizi Karema; Anil Kaul; Norito Kawakami; Konstantin Kazanjan; Dhruv S Kazi; Andrew H Kemp; Andre Pascal Kengne; Maia Kereselidze; Yousef Saleh Khader; Shams Eldin Ali Hassan Khalifa; Ejaz Ahmed Khan; Young-Ho Khang; Luke Knibbs; Yoshihiro Kokubo; Soewarta Kosen; Barthelemy Kuate Defo; Chanda Kulkarni; Veena S Kulkarni; G Anil Kumar; Kaushalendra Kumar; Ravi B Kumar; Gene Kwan; Taavi Lai; Ratilal Lalloo; Hilton Lam; Van C Lansingh; Anders Larsson; Jong-Tae Lee; James Leigh; Mall Leinsalu; Ricky Leung; Xiaohong Li; Yichong Li; Yongmei Li; Juan Liang; Xiaofeng Liang; Stephen S Lim; Hsien-Ho Lin; Steven E Lipshultz; Shiwei Liu; Yang Liu; Belinda K Lloyd; Stephanie J London; Paulo A Lotufo; Jixiang Ma; Stefan Ma; Vasco Manuel Pedro Machado; Nana Kwaku Mainoo; Marek Majdan; Christopher Chabila Mapoma; Wagner Marcenes; Melvin Barrientos Marzan; Amanda J Mason-Jones; Man Mohan Mehndiratta; Fabiola Mejia-Rodriguez; Ziad A Memish; Walter Mendoza; Ted R Miller; Edward J Mills; Ali H Mokdad; Glen Liddell Mola; Lorenzo Monasta; Jonathan de la Cruz Monis; Julio Cesar Montañez Hernandez; Ami R Moore; Maziar Moradi-Lakeh; Rintaro Mori; Ulrich O Mueller; Mitsuru Mukaigawara; Aliya Naheed; Kovin S Naidoo; Devina Nand; Vinay Nangia; Denis Nash; Chakib Nejjari; Robert G Nelson; Sudan Prasad Neupane; Charles R Newton; Marie Ng; Mark J Nieuwenhuijsen; Muhammad Imran Nisar; Sandra Nolte; Ole F Norheim; Luke Nyakarahuka; In-Hwan Oh; Takayoshi Ohkubo; Bolajoko O Olusanya; Saad B Omer; John Nelson Opio; Orish Ebere Orisakwe; Jeyaraj D Pandian; Christina Papachristou; Jae-Hyun Park; Angel J Paternina Caicedo; Scott B Patten; Vinod K Paul; Boris Igor Pavlin; Neil Pearce; David M Pereira; Konrad Pesudovs; Max Petzold; Dan Poenaru; Guilherme V Polanczyk; Suzanne Polinder; Dan Pope; Farshad Pourmalek; Dima Qato; D Alex Quistberg; Anwar Rafay; Kazem Rahimi; Vafa Rahimi-Movaghar; Sajjad ur Rahman; Murugesan Raju; Saleem M Rana; Amany Refaat; Luca Ronfani; Nobhojit Roy; Tania Georgina Sánchez Pimienta; Mohammad Ali Sahraian; Joshua A Salomon; Uchechukwu Sampson; Itamar S Santos; Monika Sawhney; Felix Sayinzoga; Ione J C Schneider; Austin Schumacher; David C Schwebel; Soraya Seedat; Sadaf G Sepanlou; Edson E Servan-Mori; Marina Shakh-Nazarova; Sara Sheikhbahaei; Kenji Shibuya; Hwashin Hyun Shin; Ivy Shiue; Inga Dora Sigfusdottir; Donald H Silberberg; Andrea P Silva; Jasvinder A Singh; Vegard Skirbekk; Karen Sliwa; Sergey S Soshnikov; Luciano A Sposato; Chandrashekhar T Sreeramareddy; Konstantinos Stroumpoulis; Lela Sturua; Bryan L Sykes; Karen M Tabb; Roberto Tchio Talongwa; Feng Tan; Carolina Maria Teixeira; Eric Yeboah Tenkorang; Abdullah Sulieman Terkawi; Andrew L Thorne-Lyman; David L Tirschwell; Jeffrey A Towbin; Bach X Tran; Miltiadis Tsilimbaris; Uche S Uchendu; Kingsley N Ukwaja; Eduardo A Undurraga; Selen Begüm Uzun; Andrew J Vallely; Coen H van Gool; Tommi J Vasankari; Monica S Vavilala; N Venketasubramanian; Salvador Villalpando; Francesco S Violante; Vasiliy Victorovich Vlassov; Theo Vos; Stephen Waller; Haidong Wang; Linhong Wang; XiaoRong Wang; Yanping Wang; Scott Weichenthal; Elisabete Weiderpass; Robert G Weintraub; Ronny Westerman; James D Wilkinson; Solomon Meseret Woldeyohannes; John Q Wong; Muluemebet Abera Wordofa; Gelin Xu; Yang C Yang; Yuichiro Yano; Gokalp Kadri Yentur; Paul Yip; Naohiro Yonemoto; Seok-Jun Yoon; Mustafa Z Younis; Chuanhua Yu; Kim Yun Jin; Maysaa El Sayed Zaki; Yong Zhao; Yingfeng Zheng; Maigeng Zhou; Jun Zhu; Xiao Nong Zou; Alan D Lopez; Mohsen Naghavi; Christopher J L Murray; Rafael Lozano
Journal:  Lancet       Date:  2014-05-02       Impact factor: 79.321

7.  Male involvement in birth preparedness and complication readiness for emergency obstetric referrals in rural Uganda.

Authors:  Othman Kakaire; Dan K Kaye; Michael O Osinde
Journal:  Reprod Health       Date:  2011-05-07       Impact factor: 3.223

8.  Birth preparedness and complication readiness among women of child bearing age group in Goba woreda, Oromia region, Ethiopia.

Authors:  Desalegn Markos; Daniel Bogale
Journal:  BMC Pregnancy Childbirth       Date:  2014-08-18       Impact factor: 3.007

Review 9.  Male involvement and maternal health outcomes: systematic review and meta-analysis.

Authors:  Judith Yargawa; Jo Leonardi-Bee
Journal:  J Epidemiol Community Health       Date:  2015-02-19       Impact factor: 3.710

10.  Incidence and risk factors for postpartum hemorrhage in Uganda.

Authors:  Sam Ononge; Florence Mirembe; Julius Wandabwa; Oona M R Campbell
Journal:  Reprod Health       Date:  2016-04-14       Impact factor: 3.223

View more
  6 in total

1.  Perception of pregnant women on barriers to male involvement in antenatal care in Sekondi, Ghana.

Authors:  Yvonne Annoon; Thomas Hormenu; Bright Opoku Ahinkorah; Abdul-Aziz Seidu; Edward Kwabena Ameyaw; Francis Sambah
Journal:  Heliyon       Date:  2020-07-21

Review 2.  Male partner involvement in birth preparedness, complication readiness and obstetric emergencies in Sub-Saharan Africa: a scoping review.

Authors:  Faye Forbes; Karen Wynter; Berihun M Zeleke; Jane Fisher
Journal:  BMC Pregnancy Childbirth       Date:  2021-02-12       Impact factor: 3.007

3.  Male partners' participation in birth preparedness and complication readiness in low- and middle-income countries: a systematic review and meta-analysis.

Authors:  Minyahil Tadesse Boltena; Abraham Sahlemichael Kebede; Ziad El-Khatib; Benedict Oppong Asamoah; Andualem Tadesse Boltena; Hawult Tyae; Melese Yeshambaw Teferi; Mulatu Biru Shargie
Journal:  BMC Pregnancy Childbirth       Date:  2021-08-14       Impact factor: 3.007

4.  Husbands' participation in birth preparedness and complication readiness plan in Kucha district, Gamo Zone, Southern Ethiopia.

Authors:  Teklemariam Gultie; Zinash Tanto; Wubshet Estifanos; Negussie Boti; Barbora de Courten
Journal:  PLoS One       Date:  2021-12-28       Impact factor: 3.240

5.  Husbands' Plan to Participate in Birth Preparedness and Complication Readiness in Haramaya Health and Demographic Surveillance System Site, Eastern Ethiopia: A Community-Based Cross-Sectional Study.

Authors:  Seada Sufian; Mohammed Abdurke Kure; Merga Dheresa; Adera Debella; Bikila Balis; Kedir Teji Roba
Journal:  Front Public Health       Date:  2022-04-18

6.  Magnitude and associated factors of husband involvement on antenatal care follow up in Debre Berhan town, Ethiopia 2016: a cross sectional study.

Authors:  Sisay Shine; Behailu Derseh; Bethlehem Alemayehu; Gebrehiwot Hailu; Hussein Endris; Saba Desta; Yibeltal Birhane
Journal:  BMC Pregnancy Childbirth       Date:  2020-09-25       Impact factor: 3.007

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.