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Abstract Background In low- and middle-income countries (LMICs), such as Tanzania, the competency of healthcare providers critically influences the quality of pediatric care. To address this issue, we introduced Pediatric Acute Care Education (PACE), an adaptive learning program to enhance provider competency in Tanzania’s guidelines for managing seriously ill children. Adaptive learning is a promising alternative to current in-service education, yet optimal implementation strategies in LMIC settings are unknown. Objectives (1) To evaluate the initial PACE implementation in Mwanza, Tanzania, using the construct of normalization process theory (NPT); (2) To provide insights into its feasibility, acceptability, and scalability potential. Methods Mixed-methods study involving healthcare providers at three facilities. Quantitative data was collected using the Normalization MeAsure Development (NoMAD) questionnaire, while qualitative data was gathered through in-depth interviews (IDIs) and focus groups discussions (FGDs). Results Eighty-two healthcare providers completed the NoMAD survey. Additionally, 24 senior providers participated in IDIs, and 79 junior providers participated in FGDs. Coherence and cognitive participation were high, demonstrating that PACE is well understood and resonates with existing healthcare goals. Providers expressed a willingness to integrate PACE into their practices, distinguishing it from existing educational methods. However, challenges related to resources and infrastructure, particularly those affecting collective action, were noted. Early indicators point toward the potential for long-term sustainability of the PACE, but assessment of reflexive monitoring was limited due to the study’s focus on PACE’s initial implementation. Conclusion This study offers vital insights into the feasibility and acceptability of implementing PACE in a Tanzanian context. While PACE aligns well with healthcare objectives, addressing resource and infrastructure challenges as well as conducting a longer-term study to assess reflexive monitoring is crucial for its successful implementation. Furthermore, the study underscores the value of the NPT as a framework for guiding implementation processes, with broader implications for implementation science and pediatric acute care in LMICs.

Objectives: Tanzania observed a gradual increase in the number of measles cases since 2019 with a large outbreak recorded during 2022. This study describes the trend of measles in Tanzania over a 5-year period from 2018-2022. Methods: This was a descriptive study conducted using routine measles case-based surveillance system including 195 councils of the United Republic of Tanzania. Results: Between 2018 and 2022 there were 12,253 measles cases reported. Out of 10,691 (87.25%) samples tested by enzyme-linked immunosorbent assay, 903 (8.4%) were measles immunoglobulin M positive. The highest number of laboratory-confirmed measles cases was in 2022 (64.8%), followed by 2020 (13.8%), and 2019 (13.5%). Out of 1279 unvaccinated cases, 213 (16.7%) were laboratory-confirmed measles cases compared to 77/723 (10.6%) who were partially vaccinated and 71/1121 (6.3%) who were fully vaccinated (P 90% since 2013 while MCV2 increased gradually reaching 88% in 2022. Conclusions: Accumulation of susceptible children to measles due to suboptimal measles vaccination coverage over the years has resulted in an increase in the number of laboratory-confirmed measles cases in Tanzania with more cases recorded during the COVID-19 pandemic. Strengthening surveillance, routine immunization, and targeted strategies are key to achieving the immunity levels required to interrupt measles outbreaks.

BackgroundHypoglycemia is the commonest metabolic abnormality encountered in newborns. Besides, there is a growing body of evidence that links the causes of early neonatal mortality to neonatal hypoglycemia in Tanzania. However exact factors associated with asymptomatic hypoglycemia in preterm newborns are not known.ObjectiveTo assess factors associated with asymptomatic hypoglycemia among preterm newborns.Materials and methodsA cross sectional, analytical hospital- based study was carried out at Dar es salaam public regional referral hospitals. Preterm newborns with asymptomatic hypoglycemia were the target population. Data on demographic and clinical characteristics of preterm newborns and their mothers were collected and analyzed using Epi-Info™ software version 7.4. Main data analysis was done by applying a multivariable binary logistic regression model with neonatal random glycaemia coded in a binary fashion at a cut-off point of 2.6 mmol/L. An α-level of 5% was used as a limit of type I error.ResultsWe recruited and analysed 217 preterm newborns within 6-24 hours post-delivery. Male: Female = 1.1:1 (females n = 105, 48.4%). Median glycemic level was 2.6 (IQR; 2.1-3.9) mmol/L. Median gestational age at delivery was 33 (IQR: 30-35) weeks. Breastfeeding within 1st hour post-delivery was a statistically significant factor against glycemic levels associated with hypoglycemia (OR; 0.123, 95%-CI; 0.052-0.287) in a fitted multivariable logistic regression model.ConclusionAbout half of all preterm newborns studied had glycemic values in a statistical range associated with hypoglycemia. Exclusive breast feeding within 1st hour post-delivery was associated with glycemic levels protective from risk of asymptomatic neonatal hypoglycemia.RecommendationsExclusive breastfeeding practices within 1st hour post-delivery may need to be emphasized to all expectant mothers in order to avoid potential risk of asymptomatic hypoglycemia in preterm newborns.