ArticleThe Pan African medical journal2020
Implementing bubble continuous positive airway pressure in a lower middle-income country: a Nigerian experience.
Article in The Pan African medical journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
4 citing papers in PubMed, 8 citations in OpenAlex.
- Newborn technology use in low-resource settings: the role of health professionals' communication in implementation.Health policy and planning · 2025Article
- Communication among health professionals using newborn technology for care: an exploratory scoping review.BMJ open quality · 2025Article
- Feasibility and integration of a novel bubble CPAP system into a public referral PICU in Mysuru, India.Frontiers in pediatrics · 2025Article
- Respiratory distress syndrome management in resource limited settings-Current evidence and opportunities in 2022.Frontiers in pediatrics · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Bubble CPAP (bCPAP) is used for respiratory distress (RD) in neonates. The leading causes of neonatal mortality can lead to severe RD. Many neonatal deaths are preventable using evidence-based interventions like bCPAP as part of a comprehensive approach. The study aimed to assess the implementation of a multi-center, comprehensive hospital-based bCPAP program in a low-middle-income country using a low-cost bCPAP device. Seven established hospitals in three Nigerian States were selected using purposive sampling. A respiratory support program was developed and implemented using the Pumani® bCPAP. Neonates <28 days old with severe RD, birth weight >1000g and breathing spontaneously, were eligible. The program lasted 22 months. Focus group discussions and in-depth interviews of healthcare workers and hospital administrators were used in program assessment. Content analysis of qualitative data completed. The staff reported that the bCPAP device was easy to use and effective. All staff reported comfort in eligible patient identification, effective set up and bCPAP administration. All study sites experienced varying degrees of electric power interruption and oxygen availability and affordability. Staff training, staffing disruptions, data collection challenges and use of improvised bCPAP contributed to low enrollment. Advocacy, direct program support, and innovation using locally available resources improved enrollment. Professional organization collaboration, competency-based training and peer mentoring contributed to program success. Thorough pre-program assessment, with comprehensive understanding of all aspects of the existing system within the local context which are likely to impact the introduction of a new program is important to implementation success.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.