| Literature DB >> 26641891 |
Kyi Mar Wai1,2, Akira Shibanuma2, Nwe Nwe Oo3, Toki Jennifer Fillman1, Yu Mon Saw4, Masamine Jimba2.
Abstract
INTRODUCTION: Husbands can play a crucial role in pregnancy and childbirth, especially in patriarchal societies of developing countries. In Myanmar, despite the critical influence of husbands on the health of mothers and newborns, their roles in maternal health have not been well explored. Therefore, the aim of this study was to identify the factors associated with husbands' involvement in maternal health in Myanmar. This study also examined the associations between husbands' involvement and their spouses' utilization of maternal care services during antenatal, delivery and postnatal periods.Entities:
Mesh:
Year: 2015 PMID: 26641891 PMCID: PMC4671588 DOI: 10.1371/journal.pone.0144135
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Background Characteristics of Participants (n = 426).
| Characteristics | n | % | Mean | SD | |
|---|---|---|---|---|---|
| Age (years) | 426 | 34.0 | 6.9 | ||
| Religion | |||||
| Buddhist | 322 | 75.6 | |||
| Others | 104 | 24.4 | |||
| Ethnicity | |||||
| Bamar | 291 | 68.3 | |||
| National Races | 67 | 15.7 | |||
| Others | 68 | 16.0 | |||
| Education | |||||
| Middle school or lower | 136 | 31.9 | |||
| High school or higher | 290 | 68.1 | |||
| Occupation | |||||
| Government worker | 45 | 10.6 | |||
| Private/company worker | 52 | 12.2 | |||
| Labor or driver | 144 | 33.8 | |||
| Own business | 144 | 33.8 | |||
| Unemployed or others | 41 | 9.6 | |||
| Income per month (USD) | 426 | 236.2 | 172.9 | ||
| Income situation | |||||
| Regular | 181 | 42.5 | |||
| Non-regular | 242 | 56.8 | |||
| Missing | 3 | 0.7 | |||
| Type of marriage | |||||
| Monogamous | 406 | 95.3 | |||
| Polygamous | 20 | 4.7 | |||
| Currently living with spouse | |||||
| No | 18 | 4.2 | |||
| Yes | 408 | 95.8 | |||
| Number of children | |||||
| Only one | 193 | 45.3 | |||
| More than one | 233 | 54.7 | |||
| Spouse’s age (years) | 426 | 30.7 | 6.5 | ||
| Spouse’s education | |||||
| Middle school or lower | 164 | 38.5 | |||
| High school or higher | 262 | 61.5 | |||
| Spouse’s occupation | |||||
| Unemployed/house-wife | 300 | 70.4 | |||
| Employed | 126 | 29.6 | |||
| Decision maker regarding health care in family | |||||
| Yourself | 249 | 58.5 | |||
| Your spouse | 56 | 13.1 | |||
| Jointly with your spouse | 97 | 22.2 | |||
| Others | 24 | 5.6 | |||
†National races include Kachin, Kayar, Kayin, Chin, Mon, Yakhine and Shan.
# 1USD = 957.9 kyats, as of 1st July, 2014.
Fig 1Level of Husband’s Involvement in Maternal Care (n = 426).
Characteristics of Birth Preparedness (n = 426).
| Characteristics | Number | Percentage (%) | |
|---|---|---|---|
| Arrange or save money | |||
| No | 78 | 18.3 | |
| Yes | 348 | 81.7 | |
| Plan for transportation | |||
| No | 204 | 47.9 | |
| Yes | 222 | 52.1 | |
| Plan for a delivery place | |||
| No | 70 | 16.4 | |
| Yes | 356 | 83.6 | |
| Arrange a skilled birth attendant | |||
| No | 38 | 8.9 | |
| Yes | 388 | 91.1 | |
| Purchase a safe delivery kit | |||
| No | 336 | 78.9 | |
| Yes | 90 | 21.1 | |
| Plan for a potential blood donor | |||
| No | 360 | 84.5 | |
| Yes | 66 | 15.5 | |
Multivariable Analysis for the Factors Associated with Husband’s Involvement in Maternal Care (n = 426).
| Variables | Antenatal | Delivery | Postnatal | |||||
|---|---|---|---|---|---|---|---|---|
| AOR | AOR | AOR | ||||||
| Accompany ANC > one time | Financial support for ANC | Well birth-planned | Accompany to the place of delivery | Decision making of a delivery place | Accompany for PNC visit | Financial support for PNC | ||
| Age (years) | ||||||||
| ≤ 30 (ref) | 1.0 | |||||||
| >30 | 1.17(0.61–2.24) | 1.03(0.19–5.52) | 1.09(0.61–1.94) | 0.90(0.40–2.01) | 0.84(0.44–1.62) | 1.16(0.61–2.22) | 1.44(0.56–3.64) | |
| Education | ||||||||
| Middle school of lower (ref) | 1.0 | |||||||
| High school or higher | 1.32(0.76–2.28) | 6.08(1.48–25.97) | 1.22(0.74–2.01) | 1.16(0.63–2.13) | 0.83(0.47–1.47) | 1.03(0.55–1.93) | 1.09(0.53–2.21) | |
| Spouse’s age (years) | ||||||||
| ≤ 30 (ref) | 1.0 | |||||||
| >30 | 1.37(0.77–2.41) | 0.80 (0.20–3.21) | 1.76(1.04–2.98) | 0.82(0.43–1.59) | 1.47(0.82–2.64) | 1.34(0.74–2.43) | 0.57(0.27–1.23) | |
| Number of child/children | ||||||||
| Only one (ref) | 1.0 | |||||||
| More than one | 0.44(0.24–0.81) | 0.34(0.54–2.16) | 0.44(0.26–0.75) | 0.60(0.28–1.27) | 0.96(0.51–1.78) | 0.24(0.13–0.43) | 0.20(0.09–0.46) | |
| Type of marriage | ||||||||
| Monogamous (ref) | 1.0 | |||||||
| Polygamous | 0.24(0.07–0.78) | 0.39(0.06–2.47) | 0.92(0.30–2.78) | 0.34(0.12–0.96) | 1.44(0.46–4.53) | 0.21(0.04–0.98) | 0.22(0.04–1.12) | |
| Decision maker regarding health care in family | ||||||||
| Yourself (ref) | 1.0 | |||||||
| Your spouse | 0.84(0.36–1.95) | 0.96(0.10–8.72) | 0.98(0.45–2.16) | 2.56(0.88–7.64) | 0.06(0.02–0.13) | 0.80(0.33–1.92) | 2.43(0.69–8.55) | |
| Jointly with your spouse | 0.96(0.49–1.87) | 0.95(0.17–5.39) | 1.08(0.69–2.16) | 1.43(0.61–3.37) | 1.58(0.73–3.43) | 0.46(0.24–1.03) | 0.45(0.18–1.09) | |
| Others | 0.80(0.28–2.25) | 0.18(0.03–1.14) | 0.70(0.27–1.79) | 0.56(0.19–1.66) | 0.07(0.02–0.20) | 0.34(0.11–1.03) | 0.42(0.11–1.53) | |
| Have you received any information regarding with maternal health? | 2.00(1.10–3.62) | 2.05(0.57–7.42) | 2.86(1.59–5.13) | 3.17(1.61–6.26) | 2.03(1.07–3.85) | 6.92(3.31–14.47) | 8.39(4.06–17.38) | |
| No (ref) | 1.0 | |||||||
| Yes | 2.00(1.10–3.62) | 2.05(0.57–7.42) | 2.86(1.59–5.13) | 3.17(1.61–6.26) | 2.03(1.07–3.85) | 6.92(3.31–14.47) | 8.39(4.06–17.38) | |
| Knowledge about danger signs of pregnancy, childbirth and puperium | 1.51(1.07–2.13) | 1.16(0.37–3.65) | 2.04(1.48–2.82) | 1.36(0.86–2.16) | 1.16(0.83–1.61) | 1.36(0.99–1.87) | 1.57(0.94–2.62) | |
*p-value<0.05
**p-value<0.01
***p-value<0.001.
ᴬ Adjusted for age, education, occupation, income per month, spouse’s age, spouse’s occupation, number of child/children, type of marriage, currently living with a spouse, decision maker regarding health care in a family, exposure to maternal health education, perception on risk of pregnancy and childbirth, knowledge about danger signs of pregnancy and childbirth, perception on ANC.
ᴮ Adjusted for age, education, occupation, income per month, spouse’s age, spouse’s occupation, number of child/children, type of marriage, currently living with a spouse, decision maker regarding health care in a family, exposure to maternal health education, perception on risk of pregnancy and childbirth, knowledge on danger signs of pregnancy and childbirth.
ᶜ Adjusted for age, education, occupation, income per month, spouse’s age, spouse’s occupation, number of child/children, type of marriage, currently living with a spouse, decision maker regarding health care in a family, exposure to maternal health education, perception on risk of pregnancy and childbirth, knowledge on danger signs of pregnancy and childbirth, perception on ANC, perception on PNC.
Fig 2Reported Their Spouses’ Utilization of Maternal Health Care Services (n = 426).
†n = 423.
Multivariable Analysis for the Associations between Husband’s Involvement and Utilization of Maternal Care Services (n = 426).
| Variables | Antenatal visit > = 4 times (95%CI) | Institutional delivery (95%CI) | Received PNC†(95%CI) | ||||
|---|---|---|---|---|---|---|---|
| OR | AOR | OR | AOR | OR | AOR | ||
| Accompany antenatal visit | |||||||
| No and < = one time (ref) | 1.0 | ||||||
| >one time | 9.47(5.69–15.77) | 5.82(3.34–10.15) | 4.64(2.50–8.62) | 1.93(0.92–4.04) | 4.06(2.63–6.26) | 1.37(0.73–2.61) | |
| Birth preparedness | |||||||
| Not well-planned (ref) | 1.0 | ||||||
| Well | 4.82(2.90–8.02) | 2.42(1.34–4.39) | 5.92(2.81–12.50) | 2.25(0.96–5.28) | 5.94(3.72–9.47) | 2.88(1.52–5.47) | |
| Decision making of delivery place | |||||||
| Others (ref) | 1.0 | ||||||
| Husbands involved | 1.77(1.11–2.81) | 1.58(0.90–2.77) | 1.25(0.68–2.32) | 0.93(0.45–1.93) | 1.58(1.02–2.45) | 1.23(0.64–2.53) | |
*p-value<0.05
**p-value<0.01
***p-value<0.001.
†n = 423.
#adjusted for age, education, occupation, spouse’s education, spouse’s occupation, number of child/children, type of marriage and exposure to maternal health education in addition to above mentioned variables in all three models.