| Literature DB >> 30940114 |
Mufaro Kanyangarara1, Joanne Katz2, Melinda K Munos2, Subarna K Khatry3, Luke C Mullany2, Neff Walker2.
Abstract
BACKGROUND: Iron-deficiency anemia during pregnancy is an underlying cause of maternal deaths, and reducing risk through routine iron supplementation is a key component of antenatal care (ANC) programs in most low- and middle income countries. Supplementation coverage during pregnancy is estimated from maternal self-reports in population-based household surveys, yet recall bias and social desirability bias lead to errors of unknown magnitude.Entities:
Keywords: Antenatal care; Coverage; Iron supplementation; Low- and middle-income countries; Validity
Mesh:
Substances:
Year: 2019 PMID: 30940114 PMCID: PMC6446307 DOI: 10.1186/s12884-019-2247-1
Source DB: PubMed Journal: BMC Pregnancy Childbirth ISSN: 1471-2393 Impact factor: 3.007
Study objectives and data sources
| Study objective | Data source | Number of countries |
|---|---|---|
| Estimate the coverage of antenatal iron supplementation | Demographic and Health Surveys | 16 |
| Assess the validity of self-reported receipt of iron supplements | Service Provision Assessment (client exit interview) | 9 |
| Examine the impact of the length of recall period on the validity of reported receipt of iron supplements | Nepal Oil Massage Study (NOMS) sub-sample | 1 |
| Identify the characteristics of pregnant women who accurately reported receipt of iron supplements | Service Provision Assessment (client exit interview) | 9 |
Health facility readiness and coverage of antenatal iron supplementation in 16 countries, 2007–2016
| Country | Type of health facility survey | Year of health facility survey | Year of household surveya | ANC facilities sampled (n) | ANC facilities with iron supplements available (%) | Women who attended at least one ANC visit (%)b | Women attended ANC at a health facility with iron supplements available (%) |
|---|---|---|---|---|---|---|---|
| Bangladesh | SPA | 2014 | 2014 | 1493 | 94 | 64 | 60 |
| Benin | SARA | 2013 | 2011–12 | 158 | 97 | 86 | 83 |
| Burkina Faso | SARA | 2012 | 2010 | 609 | 88 | 96 | 84 |
| DRC | SARA | 2014 | 2013–14 | 1149 | 60 | 89 | 53 |
| Haiti | SPA | 2013 | 2012 | 832 | 82 | 90 | 73 |
| Kenya | SPA | 2010 | 2008–09 | 561 | 52 | 92 | 48 |
| Malawi | SPA | 2013–14 | 2015–16 | 643 | 97 | 95 | 92 |
| Namibia | SPA | 2009 | 2006–07 | 303 | 94 | 94 | 89 |
| Nepal | SPA | 2015 | 2016 | 902 | 91 | 86 | 78 |
| Rwanda | SPA | 2007 | 2007–2008 | 432 | 78 | 97 | 75 |
| Senegal | SPA | 2016 | 2016 | 353 | 82 | 96 | 78 |
| Sierra Leone | SARA | 2013 | 2013 | 428 | 90 | 98 | 88 |
| Tanzania | SPA | 2014–15 | 2015–16 | 1031 | 95 | 98 | 93 |
| Togo | SARA | 2012 | 2013–14 | 92 | 93 | 73 | 68 |
| Uganda | SPA | 2007 | 2006 | 399 | 63 | 93 | 59 |
| Zimbabwe | SARA | 2014 | 2015 | 262 | 96 | 92 | 89 |
| Median | 91 | 92 | 78 |
ANC antenatal care, DRC Democratic Republic of Congo, SPA Service Provision Assessment, SARA Service availability and readiness assessment
aDemographic and Health Surveys (DHS) were used for all countries. bSource: Corresponding Demographic and Health Survey
Fig. 1Comparisons of indicators of iron supplementation
Characteristics of ANC clients in 9 countries
| n | % | |
|---|---|---|
| Client age (years) | ||
| < 25 | 6655 | 49 |
| 25–34 | 5670 | 42 |
| 35+ | 1302 | 9 |
| Client highest level of school attended | ||
| None | 2694 | 20 |
| Primary | 6792 | 50 |
| Secondary or higher | 4087 | 30 |
| Client can read and writea | 7116 | 63 |
| Primigravida | 4141 | 31 |
| First visit to this facility for this pregnancy | 5865 | 43 |
| Facility nearest home | 11,476 | 85 |
| Hospital | 3824 | 28 |
| Public facility | 10,254 | 76 |
| Charged for services today | 4019 | 30 |
| Male provider | 11,013 | 81 |
| Country (year of survey) | ||
| Haiti (2013) | 1652 | 12 |
| Kenya (2010) | 1431 | 11 |
| Malawi (2013–14) | 2067 | 15 |
| Namibia (2009) | 857 | 6 |
| Nepal (2015) | 1542 | 11 |
| Rwanda (2007) | 734 | 5 |
| Senegal (2016) | 848 | 6 |
| Tanzania (2014–15) | 4073 | 30 |
| Uganda (2007) | 369 | 3 |
Data are weighted. aLiteracy was missing 17%, all other variables were missing < 5%
Validity assessment of self-reported receipt of iron-containing supplements in 9 countries, 2007–2016
| Country | Year | Survey | Total number of ANC clients observed | Observation prevalence | Sensitivity | Specificity | Correctly classified | Self-reported prevalence | Area under the curve (AUC) | Inflation factor |
|---|---|---|---|---|---|---|---|---|---|---|
| Haiti | 2013 | SPA | 1620 | 70.9 | 88.3 | 66.9 | 82.1 | 72.3 | 0.78 | 1.02 |
| Kenya | 2010 | SPA | 1409 | 50.6 | 82.1 | 92.8 | 87.4 | 45.1 | 0.87 | 0.89 |
| Malawi | 2013–14 | SPA | 2068 | 86.0 | 95.7 | 71.0 | 92.2 | 86.3 | 0.83 | 1.00 |
| Namibia | 2009 | SPA | 859 | 78.4 | 87.7 | 83.3 | 86.7 | 72.3 | 0.86 | 0.92 |
| Nepal | 2015 | SPA | 1565 | 63.3 | 74.7 | 71.8 | 73.6 | 57.6 | 0.73 | 0.91 |
| Rwanda | 2007 | SPA | 722 | 41.8 | 63.3 | 90.7 | 79.2 | 31.9 | 0.77 | 0.76 |
| Senegal | 2016 | SPA | 849 | 86.8 | 97.7 | 89.3 | 96.6 | 86.2 | 0.93 | 0.99 |
| Tanzania | 2014–15 | SPA | 4009 | 75.9 | 91.9 | 74.8 | 87.8 | 75.8 | 0.83 | 1.00 |
| Uganda | 2007 | SPA | 779 | 75.2 | 85.7 | 82.9 | 85.0 | 68.7 | 0.84 | 0.91 |
| Total | 13,880 | 71.8 | 88.7 | 79.3 | 86.0 | 69.5 | 0.84 | 0.97 | ||
| Nepal | 2016–17 | NOMS | 227 | 53.7 | 86.1 | 34.3 | 62.1 | 76.7 | 0.60 | 1.43 |
ANC antenatal care, NOMS Nepal Oil Massage Study, SPA Service Provision Assessment
Fig. 2Observed versus self-reported receipt of iron supplements by country
Factors associated with agreement between self-reports and direct observation of receipt of iron supplementation among ANC clients from 9 countries, 2007–2016
| Crude risk ratio | 95% CI | Adjusted risk ratio | 95% CI | |
|---|---|---|---|---|
| Client age (years) | ||||
| < 25 | Reference | Reference | ||
| 25–34 | 0.99 | 0.97–1.00 | 0.98 | 0.97–1.00 |
| ≥35 | 0.97 | 0.95–1.00 | 0.96 | 0.93–0.98 |
| Client highest level of school attended | ||||
| None | Reference | Reference | ||
| Primary | 1.01 | 0.98–1.02 | 1.00 | 0.99–1.02 |
| Secondary or higher | 0.95 | 0.93–0.97 | 0.97 | 0.95–0.99 |
| Primigravida | 0.97 | 0.96–0.99 | ||
| First visit to this facility for this pregnancy | 1.06 | 1.05–1.08 | 1.07 | 1.06–1.08 |
| Facility nearest home | 1.05 | 1.03–1.07 | ||
| Hospital | 0.95 | 0.93–0.96 | ||
| Public facility | 1.05 | 1.03–1.06 | ||
| Charged for services today | 0.96 | 0.95–0.98 | 0.94 | 0.93–0.96 |
| Male provider | 1.03 | 1.01–1.05 | ||
| Country | ||||
| Nepal (2015) | Reference | Reference | ||
| Haiti (2013) | 1.10 | 1.06–1.15 | 1.12 | 1.08–1.16 |
| Kenya (2010) | 1.18 | 1.14–1.22 | 1.20 | 1.16–1.24 |
| Malawi (2013–14) | 1.24 | 1.20–1.29 | 1.22 | 1.18–1.26 |
| Namibia (2009) | 1.17 | 1.12–1.22 | 1.15 | 1.11–1.20 |
| Rwanda (2007) | 1.07 | 1.02–1.12 | 1.05 | 1.00–1.10 |
| Senegal (2016) | 1.30 | 1.26–1.35 | 1.35 | 1.30–1.39 |
| Tanzania (2014–15) | 1.18 | 1.15–1.22 | 1.16 | 1.13–1.20 |
| Uganda (2007) | 1.15 | 1.10–1.20 | 1.13 | 1.08–1.17 |
ANC antenatal care, CI confidence interval