| Literature DB >> 34900394 |
Anastasia Y Bongajum1, Pascal Foumane2, Charlotte O Moussi1, Noel Vogue1, Hycinth S Banseka3, Jujlius M Nwobegahay4, Martina L Baye5.
Abstract
BACKGROUND: The article seeks to document the experience of implementing Maternal Death Surveillance and Response (MDSR) in the Center Region of Cameroon. The paper raises awareness on the need for implementing MDSR, shares progress and lessons learned and reflects on the implications for public health practice.Entities:
Keywords: Cameroon; Center Region; MDSR; Maternal Death; Partograph; Referral System
Year: 2021 PMID: 34900394 PMCID: PMC8647191 DOI: 10.21106/ijma.517
Source DB: PubMed Journal: Int J MCH AIDS ISSN: 2161-864X
Evaluation of the Existence of Maternal Death Surveillance (MDSR) Policies in the Center Region, Cameroon
| Presence of MDSR Indicators | 2017 | 2018 | 2019 |
|---|---|---|---|
| Availability of MDSR policies for notification, investigation, and review of maternal deaths | Yes | Yes | Yes |
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| Existence of sub-national review committee- Regional level | No | Yes | Yes |
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| Production of regional annual reports and recommendations | No | Yes | Yes |
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| Existence of a results-based framework for the implementation of regional recommendations | No | No | No |
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| Existence of a sub-regional review committee in the 30 health districts of the region | No | Partial | Yes |
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| Proportion of deaths notified to the regional office within 24 hours of its occurrence | NA | NA | 10% |
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| Proportion of death-linked recommendations implemented | NA | NA | 10% |
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| Proportion of districts with at least two surveillance officers trained in MDSR | 37% | 40% | 100% |
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| Proportion of districts with MDSR action plans | 33% | 40% | 80% |
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| Proportion of districts that have organized a death review with reports submitted to the region | 17% | 20% | 50% |
NA= Not Available
Figure 1Distribution of maternal death surveillance cascade indicators per annum (2016 to 2019)
Non-Response Rate for key Maternal Death Surveillance Variables Assessed
| MSDR Variable | Non-Response Counts (N) | Proportion (%) |
|---|---|---|
| Period of death | 111 | 59 |
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| Place of death | 96 | 51 |
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| Status of arrival at the hospital | 74 | 44 |
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| Mode of Delivery | 110 | 58 |
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| Use of partograph | 159 | 84 |
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| Professional status | 116 | 62 |
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| Age | 35 | 19 |
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| Gravida | 46 | 24 |
| Marital Status | 115 | 61 |
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| Level of Education | 134 | 71 |
Demographic Characteristics of Death Cases Reported (N=188)
| Variable | Number of deaths | Proportion (%) |
|---|---|---|
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| No response | 35 | 19 |
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| 16-25 | 57 | 30 |
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| 26-35 | 76 | 40 |
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| 36-45 | 19 | 10 |
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| 46-55 | 1 | 1 |
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| No Response | 46 | 24 |
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| 1-4 | 94 | 50 |
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| 5-8 | 43 | 23 |
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| 9-12 | 5 | 3 |
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| No Response | 115 | 61 |
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| Unmarried | 51 | 27 |
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| Married | 22 | 12 |
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| Not Educated | 6 | 3 |
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| Primary | 17 | 9 |
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| Secondary | 24 | 13 |
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| Tertiary | 7 | 4 |
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| No Response | 134 | 71 |
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| No response | 116 | 62 |
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| Petty trade | 12 | 6 |
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| Unemployed | 49 | 26 |
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| Worker | 11 | 6 |
Farmer, Hairdresser, seamstress, trader-
Housewife, student -
Nurse, teacher administrative staff
Figure 2Cascade of key maternal deaths surveillance indicators in the Yaoundé Center Region and attributes to late referrals in 2019
*Capital of the Center Region. It covers 6 out of the 30 health districts in the region.
Figure 3Direct/indirect causes of Maternal deaths