Implementing adaptive e-learning for newborn care in Tanzania: an observational study of provider engagement and knowledge gains.

INTRODUCTION: To improve healthcare provider knowledge of Tanzanian newborn care guidelines, we developed adaptive Essential and Sick Newborn Care (aESNC), an adaptive e-learning environment. The objectives of this study were to (1) assess implementation success with use of in-person support and nudging strategy and (2) describe baseline provider knowledge and metacognition. METHODS: 6-month observational study at one zonal hospital and three health centres in Mwanza, Tanzania. To assess implementation success, we used the Reach, Efficacy, Adoption, Implementation and Maintenance framework and to describe baseline provider knowledge and metacognition we used Howell's conscious-competence model. Additionally, we explored provider characteristics associated with initial learning completion or persistent activity. RESULTS: aESNC reached 85% (195/231) of providers: 75 medical, 53 nursing and 21 clinical officers; 110 (56%) were at the zonal hospital and 85 (44%) at health centres. Median clinical experience was 4 years (IQR 1-9) and 45 (23%) had previous in-service training for both newborn essential and sick newborn care. Efficacy was 42% (SD ±17%). Providers averaged 78% (SD ±31%) completion of initial learning and 7% (SD ±11%) of refresher assignments. 130 (67%) providers had ≥1 episode of inactivity >30 day, no episodes were due to lack of internet access. Baseline conscious-competence was 53% (IQR: 38%-63%), unconscious-incompetence 32% (IQR: 23%-42%), conscious-incompetence 7% (IQR: 2%-15%), and unconscious-competence 2% (IQR: 0%-3%). Higher baseline conscious-competence (OR 31.6 (95% CI 5.8 to 183.5)) and being a nursing officer (aOR: 5.6 (95% CI 1.8 to 18.1)), compared with medical officer, were associated with initial learning completion or persistent activity. CONCLUSION: aESNC reach was high in a population of frontline providers across diverse levels of care in Tanzania. Use of in-person support and nudging increased reach, initial learning and refresher assignment completion, but refresher assignment completion remains low. Providers were often unaware of knowledge gaps, and lower baseline knowledge may decrease initial learning completion or activity. Further study to identify barriers to adaptive e-learning normalisation is needed.

Development of pediatric acute care education (PACE): An adaptive electronic learning (e-learning) environment for healthcare providers in Tanzania.

Globally, inadequate healthcare provider (HCP) proficiency with evidence-based guidelines contributes to millions of newborn, infant, and child deaths each year. HCP guideline proficiency would improve patient outcomes. Conventional (in person) HCP in-service education is limited in 4 ways: reach, scalability, adaptability, and the ability to contextualize. Adaptive e-learning environments (AEE), a subdomain of e-learning, incorporate artificial intelligence technology to create a unique cognitive model of each HCP to improve education effectiveness. AEEs that use existing internet access and personal mobile devices may overcome limits of conventional education. This paper provides an overview of the development of our AEE HCP in-service education, Pediatric Acute Care Education (PACE). PACE uses an innovative approach to address HCPs' proficiency in evidence-based guidelines for care of newborns, infants, and children. PACE is novel in 2 ways: 1) its patient-centric approach using clinical audit data or frontline provider input to determine content and 2) its ability to incorporate refresher learning over time to solidify knowledge gains. We describe PACE's integration into the Pediatric Association of Tanzania's (PAT) Clinical Learning Network (CLN), a multifaceted intervention to improve facility-based care along a single referral chain. Using principles of co-design, stakeholder meetings modified PACE's characteristics and optimized integration with CLN. We plan to use three-phase, mixed-methods, implementation process. Phase I will examine the feasibility of PACE and refine its components and protocol. Lessons gained from this initial phase will guide the design of Phase II proof of concept studies which will generate insights into the appropriate empirical framework for (Phase III) implementation at scale to examine effectiveness.

Knowledge acquisition and retention following Saving Children's Lives course for healthcare providers in Botswana: a longitudinal cohort study.

OBJECTIVES: Millions of children die every year from serious childhood illnesses. Most deaths are avertable with access to quality care. Saving Children's Lives (SCL) includes an abbreviated high-intensity training (SCL-aHIT) for providers who treat serious childhood illnesses. The objective of this study was to examine the impact of SCL-aHIT on knowledge acquisition and retention of providers. SETTING: 76 participating centres who provide primary and secondary care in Kweneng District, Botswana. PARTICIPANTS: Doctors and nurses expected by the District Health Management Team to provide initial care to seriously ill children, completed SCL-aHIT between January 2014 and December 2016, submitted demographic data, course characteristics and at least one knowledge assessment. METHODS: Retrospective, cohort study. Planned and actual primary outcome was adjusted acquisition (change in total knowledge score immediately after training) and retention (change in score at 1, 3 and 6 months), secondary outcomes were pneumonia and dehydration subscores. Descriptive statistics and linear mixed models with random intercept and slope were conducted. Relevant institutional review boards approved this study. RESULTS: 211 providers had data for analysis. Cohort was 91% nurses, 61% clinic/health postbased and 45% pretrained in Integrated Management of Childhood Illness (IMCI). A strong effect of SCL-aHIT was seen with knowledge acquisition (+24.56±1.94, p<0.0001), and loss of retention was observed (-1.60±0.67/month, p=0.018). IMCI training demonstrated no significant effect on acquisition (+3.58±2.84, p=0.211 or retention (+0.20±0.91/month, p=0.824) of knowledge. On average, nurses scored lower than physicians (-19.39±3.30, p<0.0001). Lost to follow-up had a significant impact on knowledge retention (-3.03±0.88/month, p=0.0007). CONCLUSIONS: aHIT for care of the seriously ill child significantly increased provider knowledge and loss of knowledge occurred over time. IMCI training did not significantly impact overall knowledge acquisition nor retention, while professional status impacted overall score and lost to follow-up impacted retention.