RESUMEN
BACKGROUND: The burden of stillbirth, neonatal and maternal deaths are unacceptably high in low- and middle-income countries, especially around the time of birth. There are scarce resources and/or support implementation of evidence-based training programs. SaferBirths Bundle of Care is a well-proven package of innovative tools coupled with data-driven on-the-job training aimed at reducing perinatal and maternal deaths. The aim of this project is to determine the effect of scaling up the bundle on improving quality of intrapartum care and perinatal survival. METHODS: The project will follow a stepped-wedge cluster implementation design with well-established infrastructures for data collection, management, and analysis in 30 public health facilities in regions in Tanzania. Healthcare workers from selected health facilities will be trained in basic neonatal resuscitation, essential newborn care and essential maternal care. Foetal heart rate monitors (Moyo), neonatal heart rate monitors (NeoBeat) and skills trainers (NeoNatalie Live) will be introduced in the health facilities to facilitate timely identification of foetal distress during labour and improve neonatal resuscitation, respectively. Heart rate signal-data will be automatically collected by Moyo and NeoBeat, and newborn resuscitation training by NeoNatalie Live. Given an average of 4000 baby-mother pairs per year per health facility giving an estimate of 240,000 baby-mother pairs for a 2-years duration, 25% reduction in perinatal mortality at a two-sided significance level of 5%, intracluster correlation coefficient (ICC) to be 0.0013, the study power stands at 0.99. DISCUSSION: Previous reports from small-scale Safer Births Bundle implementation studies show satisfactory uptake of interventions with significant improvements in quality of care and lives saved. Better equipped and trained birth attendants are more confident and skilled in providing care. Additionally, local data-driven feedback has shown to drive continuous quality of care improvement initiatives, which is essential to increase perinatal and maternal survival. Strengths of this research project include integration of innovative tools with existing national guidelines, local data-driven decision-making and training. Limitations include the stepwise cluster implementation design that may lead to contamination of the intervention, and/or inability to address the shortage of healthcare workers and medical supplies beyond the project scope. TRIAL REGISTRATION: Name of Trial Registry: ISRCTN Registry. TRIAL REGISTRATION NUMBER: ISRCTN30541755 . Date of Registration: 12/10/2020. Type of registration: Prospectively Registered.
Asunto(s)
Salud Pública , Resucitación , Femenino , Humanos , Lactante , Recién Nacido , Mortalidad Perinatal , Embarazo , Mortinato/epidemiología , Tanzanía/epidemiologíaRESUMEN
BACKGROUND: To implement quality screening in a blood service requires the presence of screening strategy with a clear algorithm and supporting standard operating procedures (SOPs), skilled and motivated human resource to perform testing, infrastructure, regular available test kits, and other supplies. In developing countries, smooth supply chain management of critical transfusion transmissible infections (TTIs) screening reagents is a challenge. Therefore, managing the little available kits by knowing the rate of consumption, good forecasting, and monitoring expiry date may be a key in ensuring regular supply. METHOD: Test kit monitoring tool (TKMT) for Vironostika HIV Uni-Form kit/192 1&2 Ag/Ab, Genedia kits for HBsAg and HCV, and RPR for syphilis was developed to track these reagents. This excel tool was developed to assess received reagents, quantity used, quantity remaining, and date of expiration. The tool was evaluated by assessing rerun for each test kits, match tests conducted with blood units tested, adherence to the principle of first in-first out (FIFO), and quantity remaining in the center against the need. RESULTS: The mean rerun for HIV ELISA Vironistika uniform II Ag/Ab observed over expected was 6.9% (n = 3.8) than 2.4% (n = 1.3), HBsAg was 9.9% (n = 5.7) than 6.7% (3.5) (expected), Genedia for HCV was 1.3% (n = 0.7) than 0.5% (n = 0.3), and RPR test for syphilis 3.3% (n = 1.5) than 0.5%. During implementation, TKMT managed to detect expiring kits in the zonal blood transfusion centers. CONCLUSION: A tool-like TKMT may capture other supplies within blood when expanded. Monitoring of supplies may enable blood service actual accounting and in forecasting supplies and reagents.
Asunto(s)
Seguridad de la Sangre/métodos , Pruebas Hematológicas/instrumentación , Administración de Materiales de Hospital/métodos , Donantes de Sangre , Infecciones por VIH/sangre , Infecciones por VIH/diagnóstico , Recursos en Salud , Antígenos de Superficie de la Hepatitis B/análisis , Hepatitis C/diagnóstico , Humanos , Juego de Reactivos para Diagnóstico/provisión & distribución , Serodiagnóstico de la Sífilis/instrumentaciónRESUMEN
In Tanzania, maternal mortality has stagnated over the last 10 years, and some of the areas with the worst indicators are in the Lake and Western Zones. This study investigates the factors associated with institutional deliveries among women aged 15-49 years in two regions of the Lake Zone. Data were extracted from a cross-sectional household survey of 1,214 women aged 15-49 years who had given birth in the 2 years preceding the survey in Mara and Kagera regions. Logistic regression analyses were conducted to explore the influence of various factors on giving birth in a facility. About two-thirds (67.3%) of women gave birth at a health facility. After adjusting for possible confounders, six factors were significantly associated with institutional delivery: region (adjusted odds ratio [aOR], 95% confidence interval [CI]: 0.54 [0.41-0.71]), number of children (aOR, 95% CI: 0.61 [0.42-0.91]), household wealth index (aOR, 95% CI: 1.47 [1.09-2.27]), four or more antenatal care visits (aOR, 95% CI: 1.97 [1.12-3.47]), knowing three or more pregnancy danger signs (aOR, 95% CI: 1.87 [1.27-2.76]), and number of birth preparations (aOR, 95% CI: 6.09 [3.32-11.18]). Another three factors related to antenatal care were also significant in the bivariate analysis, but these were not significantly associated with place of delivery after adjusting for all variables in an extended multivariable regression model. Giving birth in a health facility was associated both with socio-demographic factors and women's interactions with the health care system during pregnancy. The findings show that national policies and programs promoting institutional delivery in Tanzania should tailor interventions to specific regions and reach out to low-income and high-parity women. Efforts are needed not just to increase the number of antenatal care visits made by pregnant women, but also to improve the quality and content of the interaction between women and service providers.