Achieving high coverage of Kangaroo mother care practice is possible: Lessons from implementation research for accelerating scale-up in Tigray Region, Ethiopia.

AIM: To evaluate coverage of effective Kangaroo mother care (KMC) by developing a model that would result in high coverage (≥80%) of KMC for newborn weighing less than 2000 g at birth in Tigray region, Ethiopia. METHODS: The study used formative research and continuous programme learning in iterative cycles of model development and modification conducted in close collaboration with the Tigray Regional Health Bureau. Quantitative methods were used to evaluate the various models. All study facilities were enrolled simultaneously, and hospitals and health centres were considered to become KMC-providers. RESULTS: The final scalable model implemented in two rural districts and one special urban zone of Tigray region attained the desired objective, with coverage of effective KMC of 82.3% at discharge. CONCLUSION: Achieving high coverage of KMC is possible through the design of context-specific implementation strategies. The key factors for success were the commitment and strong leadership from the regional health bureau, strong linkages within the health system and between different departments within health facilities, improved health worker knowledge, skills and attitudes, hospitals and health centres that supported KMC performance, and systematic generation and use of data for continuous quality improvement.

Barriers and Enablers of KMC Implementation in Health Facility and Community of Tigray Region, Northern Ethiopia: Formative Research.

Background: Kangaroo mother care (KMC) is an evidence-based approach to reducing morbidity and mortality in low-birth-weight and preterm newborns. Barriers for KMC and its effective practice at a larger scale are highly affected by contextual factors. The purpose of this study is to explore barriers and enablers in the community and health facilities for implementation and continuation of KMC. Methods: This formative study employed a qualitative exploratory approach using focus group discussions and in-depth interviews in five zones of Tigray region, Northern Ethiopia. A total of 16 focus group discussions and 46 in-depth interviews were conducted with health workers and community members. The whole process of data collection took an iterative approach. An inductive thematic analysis was done by going through the transcribed data using ATLAS.ti software. Results: The current study found that problems of infrastructure and equipment for KMC practice, shortage of staff, and absence of trained health workers as the most frequently mentioned barriers by health workers. Low level of awareness, lack of support, mother being responsible for the rest of the family, holding babies in the front being traditionally unacceptable, and preference of incubators for better care of small babies were among the barriers identified in the community. Presence of community health workers and the positive attitude of the community towards them, as well as antenatal and postnatal care were among the favorable conditions for the implementation of KMC at health facilities and continuation of KMC at home. Conclusion: Empowering health workers through training to identify preterm and low-birth-weight babies, to do follow-ups after discharge, and creating awareness in the community to change the perception of kangaroo mother care are necessary.

Design of a FAIR digital data health infrastructure in Africa for COVID-19 reporting and research.

The limited volume of COVID-19 data from Africa raises concerns for global genome research, which requires a diversity of genotypes for accurate disease prediction, including on the provenance of the new SARS-CoV-2 mutations. The Virus Outbreak Data Network (VODAN)-Africa studied the possibility of increasing the production of clinical data, finding concerns about data ownership, and the limited use of health data for quality treatment at point of care. To address this, VODAN Africa developed an architecture to record clinical health data and research data collected on the incidence of COVID-19, producing these as human- and machine-readable data objects in a distributed architecture of locally governed, linked, human- and machine-readable data. This architecture supports analytics at the point of care and-through data visiting, across facilities-for generic analytics. An algorithm was run across FAIR Data Points to visit the distributed data and produce aggregate findings. The FAIR data architecture is deployed in Uganda, Ethiopia, Liberia, Nigeria, Kenya, Somalia, Tanzania, Zimbabwe, and Tunisia.

Scaling up Kangaroo Mother Care in Ethiopia and India: a multi-site implementation research study.

OBJECTIVES: Kangaroo Mother Care (KMC), prolonged skin-to-skin care of the low birth weight baby with the mother plus exclusive breastfeeding reduces neonatal mortality. Global KMC coverage is low. This study was conducted to develop and evaluate context-adapted implementation models to achieve improved coverage. DESIGN: This study used mixed-methods applying implementation science to develop an adaptable strategy to improve implementation. Formative research informed the initial model which was refined in three iterative cycles. The models included three components: (1) maximising access to KMC-implementing facilities, (2) ensuring KMC initiation and maintenance in facilities and (3) supporting continuation at home postdischarge. PARTICIPANTS: 3804 infants of birth weight under 2000 g who survived the first 3 days, were available in the study area and whose mother resided in the study area. MAIN OUTCOME MEASURES: The primary outcomes were coverage of KMC during the 24 hours prior to discharge and at 7 days postdischarge. RESULTS: Key barriers and solutions were identified for scaling up KMC. The resulting implementation model achieved high population-based coverage. KMC initiation reached 68%-86% of infants in Ethiopian sites and 87% in Indian sites. At discharge, KMC was provided to 68% of infants in Ethiopia and 55% in India. At 7 days postdischarge, KMC was provided to 53%-65% of infants in all sites, except Oromia (38%) and Karnataka (36%). CONCLUSIONS: This study shows how high coverage of KMC can be achieved using context-adapted models based on implementation science. They were supported by government leadership, health workers' conviction that KMC is the standard of care, women's and families' acceptance of KMC, and changes in infrastructure, policy, skills and practice. TRIAL REGISTRATION NUMBERS: ISRCTN12286667; CTRI/2017/07/008988; NCT03098069; NCT03419416; NCT03506698.