Meaney Peter, Hokororo Adolfine, Ndosi Hanston, Dahlen Alex, Jacob Theopista, Mwanga Joseph R, Kalabamu Florence S, Joyce Christine, Mediratta Rishi, Rozenfeld Boris, Berg Marc, Smith Zack, Chami Neema, Mkopi Namala P, Mwanga Castory, Diocles Enock, Agweyu Ambrose
Stanford University School of Medicine, Palo Alto, CA.
Catholic University of Health and Allied Sciences, Mwanza, Tanzania.
medRxiv. 2023 Jul 13:2023.07.11.23292406. doi: 10.1101/2023.07.11.23292406.
To improve healthcare provider knowledge of Tanzanian newborn care guidelines, we developed adaptive Essential and Sick Newborn Care (aESNC), an adaptive e-learning environment (AEE). 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.
6-month observational study at 1 zonal hospital and 3 health centers in Mwanza, Tanzania. To assess implementation success, we used the RE-AIM 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.
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 centers. 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, 183.5) and being a nursing officer (aOR: 5.6 [95%CI:1.8, 18.1]), compared to medical officer) were associated with initial learning completion or persistent activity.
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 normalization is needed.
为提高医疗服务提供者对坦桑尼亚新生儿护理指南的了解,我们开发了适应性基本和患病新生儿护理(aESNC),这是一种适应性电子学习环境(AEE)。本研究的目的是:1)评估使用现场支持和助推策略的实施成功率;2)描述提供者的基线知识和元认知。
在坦桑尼亚姆万扎的1家地区医院和3家卫生中心进行为期6个月的观察性研究。为评估实施成功率,我们使用了RE-AIM框架;为描述提供者的基线知识和元认知,我们使用了豪厄尔的有意识能力模型。此外,我们还探讨了与初始学习完成或持续活动相关的提供者特征。
aESNC覆盖了85%(195/231)的提供者:75名医生、53名护士和21名临床干事;110名(56%)在地区医院,85名(44%)在卫生中心。临床经验中位数为4年[四分位间距1,9],45名(23%)曾接受过新生儿基本护理和患病新生儿护理的在职培训。有效率为42%(标准差±17%)。提供者初始学习的平均完成率为78%(标准差±31%),复习作业的完成率为7%(标准差±11%)。130名(67%)提供者有≥1次超过30天的不活动期,没有一次是由于缺乏互联网接入。基线有意识能力为53%[四分位间距:38 - 63%],无意识无能力为32%[四分位间距:23 - 42%],有意识无能力为7%[四分位间距:2 - 15%],无意识能力为2%[四分位间距:0 - 3%]。与医生相比,较高的基线有意识能力(比值比31.6[95%置信区间:5.8, 183.5])和作为护理干事(调整后比值比:5.6[95%置信区间:1.8, 18.1])与初始学习完成或持续活动相关。
在坦桑尼亚不同护理级别的一线提供者群体中,aESNC的覆盖范围很高。使用现场支持和助推提高了覆盖范围、初始学习和复习作业完成率,但复习作业完成率仍然很低。提供者往往没有意识到知识差距,较低的基线知识可能会降低初始学习完成率或活动率。需要进一步研究以确定适应性电子学习常态化的障碍。