| Literature DB >> 30808353 |
Abdulbasit Musa1,2, Catherine Chojenta3, Ayele Geleto4,3, Deborah Loxton3.
Abstract
BACKGROUND: Intimate partner violence exposes women to a wide range of health problems that can either directly or indirectly lead to maternal death. Although in a number of studies intimate partner violence has been associated with inadequate utilization of antenatal care and skilled delivery care, in other studies no association has been found. Therefore, we aimed to comprehensively review the evidence, and quantify the strength and direction of the association between intimate partner violence and utilizing adequate antenatal and skilled delivery care services.Entities:
Keywords: Intimate partner violence; Maternal health care service use; Meta-analysis; Systematic review
Mesh:
Year: 2019 PMID: 30808353 PMCID: PMC6390526 DOI: 10.1186/s12905-019-0735-0
Source DB: PubMed Journal: BMC Womens Health ISSN: 1472-6874 Impact factor: 2.809
Fig. 1PRISMA flow diagram of study selection
Characteristics of study included in Meta-analysis and Systematic review of IPV and Antenatal care adequacy
| Study | Sample size | Study location | Study setting | Types of violence | IPV exposure time | IPV assessment scale | NOS quality | Confounders |
|---|---|---|---|---|---|---|---|---|
| [ | 210 | Ethiopia | Community / Primary survey | Physical, Sexual, emotional, partner control | Ever in current relation | WHO tool | 6 | women’s age, couple’s age gap, women’s educational status, partner’s educational status, women’s decision-making autonomy, women’s employment status, women’s weekly mass media exposure, couple’s relationship duration and household monthly income |
| [ | 294 | Timor-Leste | Community /Timor-Leste DHS | IPV general | Ever in current relation | DHS tool | 4 | Age of the women, women’s education, and wealth. |
| [ | 6871 | Nigeria | Community / state-wide survey | Physical IPV | Prior year | Self (With WHO component) | 6 | Women’s education, house hold head education, Age of the women, residency, help from family member, ownership of motorized transport, marital status/ cohabiting, wealth, proximity to government health facility, information from health worker regarding pregnancy, gravidity |
| [ | 2001 | Bangladesh | Community/Bangladesh DHS | Physical, sexual, combined IPV | Lifetime | Conflict tactic scale | 5 | Women’s age, women’s education, husband’s education, women’s decision-making and freedom of movement autonomy, women’s occupation, residence, religion, frequency of mass media exposure, parity, pregnancy intentions, and wealth index category |
| [ | 418 | Ghana | Community /Nationally representative data | Emotional and physical violence during pregnancy | Pregnancy | Self with WHO components | 5 | Women’s age, marital status, women’s education, religion, wealth quantile, residency, general health of the women, region of the respondent, number of the children |
| [ | 6566 | Egypt | Community/Egypt DHS | Physical | Life time | Self | 3 | Women’s education, residency, parity |
Fig. 2Forest plot of an association between IPV and adequate antenatal care utilization
Hetrogeneity test for analysis of IPV and antenatal care utilization
| IPV | Hetrogeniety test | ||||
|---|---|---|---|---|---|
| X2 | P-value | I2 | T2 | T | |
| Combined | 1.76 | 0.185 | 43.15 | 0.07 | 0.26 |
| Physical | 7.26 | 0.064 | 58.70 | 0.05 | 0.23 |
| Sexual | 1.84 | 0.175 | 45.63 | 0.03 | 0.16 |
| Over all hetrogeniety | 15.39 | 0.004 | 74.01 | 0.03 | 0.16 |
Fig. 3Forest plot of an association between different types of IPV and adequate antenatal care utilization
Covariates associated with adequate antenatal care utilization
| Covariate | Variables | Antenatal care adequacy utilization | |
|---|---|---|---|
| Reported AOR, CI | References | ||
| Socio-demographic | Age | 15–24 yrs. = Ref, | [ |
| 18 years and below = Ref | [ | ||
| Maternal education | No education = Ref, primary = 1.35 (0.76–2.40), Secondary+ = 3.0 (1.71,5.26) | [ | |
| No education = Ref | [ | ||
| Less than secondary education- Ref, | [ | ||
| Husband’s Education | No education = Ref | [ | |
| Household head education | Uneducated = Ref | [ | |
| Wealth index | Poor = Ref | [ | |
| Not being poor | No enough food in house = Ref, | [ | |
| Residency | Rural = Ref | [ | |
| Rural = Ref | [ | ||
| Urban = Ref | [ | ||
| Urban = Ref | [ | ||
| Marital status | Single = Ref | [ | |
| Ownership of motorized transport | Own = Ref | [ | |
| Obstetric/ Access to health information | Parity | Para 1;Ref | [ |
| Para 0–1 = Ref | [ | ||
| Receiving information on pregnancy issues from a health worker | Not received = Ref | [ | |
| Receiving support from family member | No support = Ref | [ | |
Ref Reference category, Yrs Years
Characteristics of studies included in the meta-analysis of IPV and skilled delivery care utilization
| Study | Sample size | Study location | Study setting | Types of violence | IPV exposure time | IPV assessment scale | NOS quality score | Confounders |
|---|---|---|---|---|---|---|---|---|
| [ | 975 | Kenya | Community /Kenya DHS | emotional, sexual, and physical IPV | Ever in current relationship | DHS tool | 5 | Women’s education, wealth index, residence, number of antenatal visits, and parity |
| [ | 858 | Uganda | Community /Uganda DHS | physical and sexual IPV | Prior year | Conflict | 5 | Women’s education, economic empowerment of women, partner education, wealth index, number of children, ANC visit, women’s ability to negotiate condom /avoid sex. |
| [ | 210 | Ethiopia | Community /Primary survey | Physical, Sexual, emotional, partner control | Ever in current relationship | WHO tool | 6 | women’s age, couple’s age gap, women’s educational status, partner’s educational status, women’s decision-making autonomy, women’s employment status, women’s weekly mass media exposure, couple’s relationship duration and household monthly income |
| [ | 294 | Timor-Leste | Community /Timor-Leste DHS | IPV general | Ever in current relationship | DHS tool | 4 | Age of the women, women’s education, and wealth. |
| [ | 18,507 | Multi country | Community/DHS | Physical | Lifetime | DHS tool | 3 | Women’s age, partner’s age, marital status, residency, house hold wealth index, women’s education, partner’s education, women’s having job, partner having job |
| [ | 17,412 | Nigeria | Community / Nigeria DHS | Physical, sexual, emotional | Ever IPV in any relation since 15 years of age | Conflict Tactic scale | 6 | Women’s age, women’s education, husband’s education, employment status, women’s autonomy, parity, access to media, household wealth, household size, place of residency. |
| [ | 2001 | Bangladesh | Community / Bangladesh DHS | Physical, sexual, combined IPV | Lifetime | Conflict tactic scale | 5 | Women’s age, women’s education, husband’s education, women’s decision-making and freedom of movement autonomy, women’s occupation, residence, religion, frequency of mass media exposure, parity, pregnancy intentions, and wealth index category |
Fig. 4Forest plot of an association between IPV and skilled delivery care utilization before sensitivity analysis
Hetrogeneity test for Meta-analysis of IPV and skilled delivery care utilization
| Types of IPV | Hetrogeniety test | ||||
|---|---|---|---|---|---|
| X2 | P-value | I2 | T2 | T | |
| Combined | 3.37 | 0.186 | 40.60 | 0.06 | 0.24 |
| Emotional | 4.68 | 0.096 | 57.29 | 0.05 | 0.23 |
| Physical | 10.27 | 0.036 | 61.05 | 0.02 | 0.15 |
| Sexual | 4.57 | 0.102 | 56.21 | 0.03 | 0.16 |
| Over all hetrogeniety before sensitivity analysis | 30.18 | 0.001 | 80.12 | 0.03 | 0.18 |
| Over all hetrogeniety after sensitivity analysis | 7.86 | 0.164 | 36.36 | 0.01 | 0.10 |
Fig. 5Forest plot of an association between IPV and skilled delivery care utilization after sensitivity analysis using the leave-one-out approach
Fig. 6Forest plot of an association between different types of IPV and skilled delivery care utilization
Covariates associated with skilled delivery care utilization
| covariate | Variables | Skilled delivery care utilization | |
|---|---|---|---|
| Reported AOR, 95% CI | Reference | ||
| Socio-demographic | Age | 15–24 yrs. = Ref | [ |
| 15–24 yrs. = Ref, | [ | ||
| Maternal education | No education = Ref | [ | |
| No education = Ref, | [ | ||
| Uneducated = Ref | [ | ||
| Husband’s Education | No education = Ref | [ | |
| No education = Ref | [ | ||
| No education = Ref | [ | ||
| Employment status | Not working = Ref. | [ | |
| Wealth index | Poor = Ref, | [ | |
| Poor = Ref | [ | ||
| Poorest = Ref | [ | ||
| Poor = Ref | [ | ||
| Residency | Urban = Ref, | [ | |
| Rural = Ref | [ | ||
| Rural = Ref | [ | ||
| Marital status | Unmarried/not in union = Ref | [ | |
| Obstetric/ Access to health information | Parity | para 1 = Ref | [ |
| Para 1 = Ref, Para 2–4 = 0.40 [0.22–0.74] | [ | ||
| ANC | < 4 ANC visits = Ref | [ | |
| Access to Newspaper | No access = Ref | [ | |
| Access to TV | No Access = Ref | [ | |
| Access to Radio | No access = Ref | [ | |
Ref Reference category, Yrs Years