Evidence map›Paper›PMID 41673586›Full record

ArticleBMC pregnancy and childbirth2026

Assessment of maternal and perinatal death surveillance and response (MPDSR) implementation in health facilities in Kigoma, Tanzania: a descriptive cross-sectional study.

Patricia Spencer, Sifang Kathy Zhao, Abdulaziz Msuya, Alicia Ruiz, Sarah Huber-Krum, Sunday Dominico, Ahmad Makuwani, Florina Serbanescu

Abstract read
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Article in BMC pregnancy and childbirth, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Patricia SpencerDivision of Reproductive Health, U.S. Centers for Disease Control and Prevention, Atlanta, USA. rup9@cdc.gov.
Sifang Kathy ZhaoDivision of Reproductive Health, U.S. Centers for Disease Control and Prevention, Atlanta, USA.
Abdulaziz MsuyaNational Foundation for the Centers for Disease Control and Prevention, Atlanta, USA.
Alicia RuizNational Foundation for the Centers for Disease Control and Prevention, Atlanta, USA.
Sarah Huber-KrumDivision of Reproductive Health, U.S. Centers for Disease Control and Prevention, Atlanta, USA.
Sunday DominicoThamini Uhai, Dar es Salaam, Tanzania.
Ahmad MakuwaniDivision of Reproductive, Maternal and Child Health, Ministry of Health, Dar es Salaam, Tanzania.
Florina SerbanescuDivision of Reproductive Health, U.S. Centers for Disease Control and Prevention, Atlanta, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMaternal mortality remains a critical public health concern in many countries. To reduce maternal mortality, the Tanzanian Ministry of Health is committed to implementing Maternal and Perinatal Death Surveillance and Response (MPDSR). We assessed the level of MPDSR system readiness in hospitals and health centers in a remote region in Tanzania and examined facility characteristics that may influence MPDSR sustainability.

methodsA cross-sectional study design was used to assess MPDSR implementation readiness in 11 hospitals and 29 health centers in the Kigoma region using a Health Facility Assessment in 2023. Data were abstracted from each facility to inform the MPDSR implementation readiness phase (i.e., early adoption, evidence of practice, integrated practice, or sustainable practice). Fisher’s exact test was used to test the associations between facility characteristics and facilities with sustainable practice.

resultsThe MPDSR implementation readiness in hospitals and health centers varied: 25% were in the early adoption phase, 20% in the evidence of practice phase, 32.5% in the integrated practice phase, and 22.5% in the sustainable practice phase. Sustainable MPDSR practice (n = 9) was associated with urban facility location (p = 0.0014), not having a staffing gap for midwife/nurse officer/enrolled nurse (p = 0.0072), higher facility delivery volume (p = 0.0472), higher proportion of deliveries with direct obstetric complications (p = 0.0036), and having personnel trained in MPDSR (p = 0.0051).

conclusionImplementation of the MPDSR in Kigoma region has been challenging, with less than one in four of the assessed facilities demonstrating sustainable practice. Large, urban health facilities with an adequate number of skilled staff who were trained in MPDSR and provided care to a high volume of obstetric complications were most likely to have reached sustainable practice. CLINICAL TRIAL NUMBER: Not applicable.

Indexed as

Health FacilitiesMaternal MortalityPerinatal DeathPopulation SurveillanceCross-Sectional StudiesFemaleHumansPregnancyTanzaniaHealth facility assessmentImplementation readinessMaternal and perinatal death surveillance and response (MPDSR)Sustainable practice

Identifiers

PMID41673586
PMCPMC13020112

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.