Predictors of mosquito bed net use among children under-fives in Ghana: a multilevel analysis of the 2019 malaria indicator survey.

BACKGROUND: Morbidities and mortalities due to malaria can be prevented by the use of insecticide-treated mosquito bed nets (ITN), which has been proven for malaria control and elimination. The purpose of this study was to assess the critical factors that predict the use of ITN among children under-fives in Ghana. METHODS: The study utilized data from the 2019 Ghana Malaria Indicator Survey (GMIS). The outcome variable was mosquito bed net use among children under-fives. To determine critical factors that independently predict ITN use, multilevel multivariable logistic regression was employed using Stata version 16. Odds ratios and associated 95% confidence intervals and p-values were reported. A p < 0.05 was used to declare statistical significance. RESULTS: The overall prevalence of ITN usage was 57.4%. Utilization of bed nets was 66.6% in the rural areas and 43.5% in the urban areas, was highest in the Upper West region (80.6%) even when stratified to rural (82.9%) and urban areas (70.3%) whilst Greater Accra region (30.5%, rural = 41.7%, urban = 28.9%) had the least. The community level multilevel analysis showed that bed net utilization was higher among children in rural areas [AOR = 1.99, 95% CI 1.32-3.01, p = 0.001] and in household with wooden wall materials [AOR = 3.29, 95% CI 1.15-9.40, p = 0.027]. Bed net utilization was however, less for households with 3 + children under-five [AOR = 0.29, 95% CI 0.19-0.46, p < 0.001), 4 years old (AOR = 0.66, 95% CI 00.48-00.92, p = 0.014], without universal access to bed net [AOR = 0.52, 95% CI 0.37-0.73, p < 0.001], those in the Greater Accra [AOR = 0.26, 95% CI 0.13-0.51, p < 0.001], Eastern [AOR = 0.47, 95% CI 0.23-0.95, p = 0.036], Northern [AOR = 0.42, 95% CI 0.20-0.88, p = 0.022], middle [AOR = 0.57, 95% CI 0.35-0.94, p = 0.026] and rich/richest [AOR = 0.51, 95% CI 0.29-0.92, p = 0.025] household wealth quintile. Substantial unobserved household and community level differences in bed net use were found. CONCLUSION: This study demonstrates the need to intensify promotion of ITN use to those in urban areas, Greater Accra, Eastern and Northern regions, houses without wooden wall materials, middle and rich/richest households. Interventions should be targeted at older children and households with more under-five children and to ensure full access and use of ITNs among all children under-fives in each household as part of the overall goal of achieving the health-related SDGs.

"Top-down bottom-up" estimation of per capita cost of new-born care interventions in four regions of Ghana: beyond implementation to scalability and sustainability.

BACKGROUND: Limited financial, human and material health resources coupled with increasing demand for new-born care services require efficiency in health systems to maximize the available sources for improved health outcomes. Making Every Baby Count Initiative (MEBCI) implemented by local and international partners in 2013 in Ghana aimed at attaining neonatal mortality of 21 per 1000 livebirths by 2018 in four administrative regions in Ghana. MEBCI interventions benefited 4027 health providers, out of which 3453 (86%) were clinical healthcare staff. OBJECTIVE: Determine the per capita cost of the MEBCI interventions towards enhancing new-born care best practices through capacity trainings for frontline clinical and non-clinical staff. METHODS: Parameters for determining per capita cost of the new-born care interventions were estimated using expenditure on trainings, supervisions, monitoring and evaluation, advocacy, administrative/services and medical logistics. Data collection started in October 2017 and ended in September 2018. Data sources for the per capita cost estimations were invoices, expense reports and ledger books at the national, regional and district levels of the health system. RESULTS: Total of 4027 healthcare providers benefited from the MEBCI training activities comprising of 3453 clinical staff and 574 non-clinical personnel. Cumulative cost of implementing the MEBCI interventions did not necessarily match the cost per capita in staff capacity building; average cost per capita for all staff (clinical and non-clinical staff) was approximately US$ 982 compared to a per capita cost of US$ 799 for training only core clinical staff. Average cost per capita for all regions was approximately US$ 965 for all staff compared to US$ 777 per capita cost for only clinical staff. Per capita cost of training was relatively lower in regions with more staff than regions with lower numbers, perhaps due to economies of scale. CONCLUSION: The MEBCI intervention had a wide coverage in terms of training for frontline healthcare providers albeit the associated cost may be potentially unsustainable for Ghana's health system. Emerging digital training platforms could be leveraged to reduce per capita cost of training. Large-scale on-site batch-training approach could also be replaced with facility-based workshops using training of trainers (TOTs) approach to promote efficiency.

Scaling up Ghana's national newborn care initiative: integrating 'helping babies breathe' (HBB), 'essential care for every baby' (ECEB), and newborn 'infection prevention' (IP) trainings.

BACKGROUND: Responding to stagnating neonatal mortality rates in Ghana, a five-year collaboration called Making Every Baby Count Initiative (MEBCI) was undertaken to improve the quality of newborn care provided around the time of birth. A multi-pronged approach was used to build health worker (HW) capacity in resuscitation, essential newborn care, and infection prevention using a curriculum built on the American Academy of Pediatric's (AAP) Helping Babies Breathe (HBB) and Essential Care for Every Baby (ECEB) modules with an added section on infection prevention (IP). METHODS: MEBCI used a training of trainer's approach to train 3688 health workers from district-level facilities in four regions in Ghana between June 2015 and July 2017. Prior to training, HWs familiarized themselves with the learning materials. Concurrently, MEBCI worked to improve enabling environments that would sustain the increased capacity of trained health workers. Knowledge and skills gained were tested using AAP's Knowledge checklist and validated single-scenario Objective Structured Clinical Examinations (OSCEs) tools. FINDINGS: Majority of HWs trained were midwives (58.8%) and came from district-level hospitals (88.4%). Most HWs passed the HBB OSCE (99.9%, 3436/3440). Age of doctors was negatively associated with HBB scores (r = - 0.16, p = 0.0312). Similarly, older midwives had lower HBB scores (r = - 0.33, p value < 0.001). Initiating ventilation within the Golden Minute was challenging for HWs (78.5% passed) across all regions. Overall, the pass rate for ECEB OSCEs was 99.9% in all regions. Classify newborn for further care and communicate plan to family were frequent challenges observed in Volta Region (69.5% and 72.0% pass rate respectively). HWs less than 40 years of age performed significantly better than health workers older than 40 years (p = 0.023). Age of only paediatricians was positively associated with ECEB scores (r = 0.77, p < 0.001) while age of midwives was negatively associated with ECEB scores (r = - 0.08, p < 0.001). CONCLUSION: MEBCI's integrated HBB-ECEB-IP training resulted in significant mastery of the clinical knowledge and skills of HWs. Harmonization and standardization of the course delivery by trainers and having a core team to ensure training fidelity are essential to maintaining high quality while scaling a program nationally. FUNDING: Children's Investment Fund Foundation (CIFF).