| Literature DB >> 26774502 |
Martin Amogre Ayanore1, Milena Pavlova2, Wim Groot3,4.
Abstract
BACKGROUND: Identifying relevant measures of women's reproductive health needs is critical to improve women's chances of service utilization. The study aims to systematically review and analyze the adequacy of outcome measures and determinants applied in previous studies for assessing women reproductive health needs across West Africa.Entities:
Mesh:
Year: 2016 PMID: 26774502 PMCID: PMC4715869 DOI: 10.1186/s12978-015-0104-x
Source DB: PubMed Journal: Reprod Health ISSN: 1742-4755 Impact factor: 3.223
Fig. 1Main chain of key words applied in the literature search across seven databases. Possible synonyms and MeSH term categories for all key words were developed and applied in all database searches
Fig. 2Flow diagram of systematic review process. This flow applies the principles of PRISMA 2009 flow diagram for systematic reviews
Cross tabulations of outcome measures and reproductive health need at three levels in reviewed publications
| Category of outcome measures | Reproductive health needs at three levels for married and non-married women | ||
|---|---|---|---|
| Antenatal care | Contraceptive use | Obstetric care | |
| Clinical outcomes | 1. Number of Antenatal care during pregnancy | 1. Service constraints | Critical obstetric danger signs knowledge |
| 2. Place of delivery(Home/facility) | 2. Demand satisfied | Preparations by women prior to delivery and facility type | |
| 3. Supervised or Non-Supervised delivery | 3. Provider Intimidation | 3. Facility quality and resources | |
| 4. Use of Traditional birth attendant for delivery | 4. limited contraceptive choice | 4. Obstetric maternal outcomes | |
| 5. Mother survival | 5. Nurses withholding information | 5. Obstetric utilization/complication | |
| Newborn survival | 6. Method choices at facilities | 6. Quality of obstetric care | |
| Level of utilization and quality of service | 7. Unintended pregnancies | ||
| 8. Language of service provision | 8. Unmet contraceptive seeking demand | ||
| Economic and geographical outcomes | 1. Service utilization for postnatal services | 1. Unmet need for contraception | 1. Economic access to obstetric care |
| 2. Economic access to service | 2. Service constraints | 2. Risk of intrapartum and antepartum still birth | |
| 3. Out-of pockets payments | 3. Economic access | 3. Place of delivery | |
| 4. Use of modern contraceptives | 4. Delay in seeking care | ||
| 5. Community level/ecological zone | 5. Delay in reaching a health facility | ||
| 6. Delay in been provided with appropriate care | |||
| Patient-reported outcomes | 1. Service constraints | 1. Current use | Demand satisfied |
| 2. Demand satisfied | 2. Ever use | Quality of service delivery | |
| 3. Quality of service delivery | 3. Never use | Awareness of danger signs | |
| 4. Decision making choices for maternal care | 4. Intention for future use | Emergency planning steps awareness by women | |
| 5. Safe delivery | 5. Unmet need for contraception | Reasons for seeking abortion and post abortion services | |
| 6. Contraceptive prevalence rates | Unsafe abortions | ||
| 7. Proportion of demand satisfied | |||
| 8. Knowledge of contraception use | |||
| 9. Current and Ever use of FP | |||
| 10. Demand satisfied | |||
| 11. Quality of service delivery | |||
Extent of unmet needs per outcome measures in countries in review
| Outcome measure | Country (Year) | Outcome measures | Reference index 1 |
|---|---|---|---|
| Unmet need for contraception (% of married, fecund or in union women not using contraception; but intends to space or limit births) | Ghana (2008) | 35.3 % | 1,2,7,11,17,18,21,68,72-78 |
| Senegal (2005) | 31.6 % | 30,77,78 | |
| Mali (2006) | 31.2 % | 32,42,60,69,77,78 | |
| Benin (2006) | 29.9 % | 67,77,78 | |
| Burkina Faso (2003) | 28.8 % | 37,51,57,51,66,77,78 | |
| Sierra Leone (2008) | 27.6 % | 31,77,78 | |
| Nigeria (2008) | 20.2 % | 77,78 | |
| Contraceptive prevalence rate for modern contraceptive (% of women married or in union of reproductive age using modern method of contraception) | Ghana (2008) | 16.6 % | 1,2,7,11,17,18,21,68,72-78 |
| Burkina Faso (2006) | 13.3 % | 30,77,78 | |
| Senegal (2005) | 10.0 % | 32,42,60,69,77,78 | |
| Nigeria (2008) | 8.1 % | 67,77,78 | |
| Mali (2006) | 6.3 % | 37,51,57,51,66,77,78 | |
| Sierra Leone (2008) | 6.0 % | 31,77,78 | |
| Benin (2006) | 5.9 % | 77,78 | |
| Adolescent birth rates per 1000 girls (number of births per 1000 girls between the ages 15 and 19 years) | Mali (2001–2006) | 185 to 188 | 1,2,7,11,17,18,21,68,72-78 |
| Sierra Leone (2006) | 143 | 30,77,78 | |
| Burkina Faso (1999–2003) | 131 to 119 | 32,42,60,69,77,78 | |
| Nigeria (2003–2008) | 126 to 121 | 67,77,78 | |
| Benin (2001–2006) | 109 to 112 | 37,51,57,51,66,77,78 | |
| Senegal (1997–2005) | 103 to 101 | 31,77,78 | |
| Ghana (2003–2008) | 74 to 66 | 77,78 |
Table outcome estimates were extracted from a review of 24 countries in developing countries which included all country context in this review [17]. 1A few publications provided data on all countries context
Cross tabulations of determinants and reproductive health need at three levels in reviewed publications
| Category of determinants | Reproductive health needs at three levels for married and non-married women | ||
|---|---|---|---|
| Antenatal care | Contraceptive use | Obstetric care | |
| Socio-cultural factors | 1. Ethnicity and residence of women | 1. Women age and parity | 1. Cultural acceptability |
| 2. Cultural viewpoints and beliefs | 2. Number of surviving children | 2. Social stigma | |
| 3. Family unions of women | 3. Spousal communication | 3. Socio-demographic factors | |
| 4. Increasing Parity needs | 4. Husband refusal to use, socio | ||
| 5. Husband/parental influence | 5. cultural and religious beliefs, | ||
| 6. Empowered decision making beliefs | 6. desire for large family size | ||
| 7. Religion (ATR) | 7. Desire for their husband attention, love and favor | ||
| 8. Social factors | 8. Marriage status of women | ||
| Institutional/clinical factors | 1. Access by distance | 1. Poor health infrastructure | 1. Poor health service infrastructure |
| 2. Economic cost | 2. Unfriendly relational attitude of health providers | 2. Lack of skilled personnel for obstetric services | |
| 3. Geographic inaccessibility | 3. side effects of use | 3. Place of delivery | |
| 4. Poor health infrastructure | 4. Method choices available for women | 4. Physician inadequate to deliver services | |
| 5. Unfriendly attitude of health providers | 5. Ineffective leadership in managing and monitoring the demand | 5. Optimal organization of obstetric services | |
| 6. Unavailability of health staff at facility | 6. Poor and inefficient counselling | ||
| 7. Poorly equipped health infrastructure | |||
| 8. Type of facility (private/public/Hop/clinics | |||
| Economic factors | 1. Socio-economic status | 1. Socioeconomic status of woman | 1. Cost effectiveness in accessing services |
| 2. Household wealth | 2. Economic Access for contraceptives | 2. Travel cost and distance | |
| 3. Cost of accessing delivery services | 3. Residence(rural/urban | 3. Catastrophic expenditures | |
| 4. Women value in society | |||
| Knowledge and risk factors | 1. Educational Status of women | 1. Previous experience | 1. Restrictive abortion laws |
| 2. Knowledge of danger signs | 2. Fear of side effects | 2. Poor knowledge concerning | |
| 3. High risk patient risk | 3. Educational status of woman | 3. Lifesaving skills (LSS) for health staff | |
| 4. Risk of associated with utilization of services | |||