Scope of neonatal care services in major Nigerian hospitals

Okonkwo, IR; Abhulimhen-Iyoha, BI; Okolo, AA

doi:10.4314/njp.v43i1.2

Cited by 8 publications

(12 citation statements)

References 5 publications

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“…Neonatal respiratory support is available only in a few centres in our sub-region. 16 Seventy seven per cent of the supported babies were preterm and this emphasises the fact that preterm births account for a sizeable proportion of our neonatal morbidities and mortalities. 4 Evidence from literature confirms that high mortality rates are associated with preterm birth rates as these are often associated with complications the most important of which include RDS.…”

Section: Discussionmentioning

confidence: 99%

“…There are wide gaps and variation in the level of care available to the new-borns in Nigeria. 16 In the developed countries, the refinement of mechanical ventilation dramatically improved the survival of many high-risk neonates. 17 Respiratory distress accompanies a myriad of problems in the newborn and thus constitutes a major clinical sign for hospital admissions into neonatal units.…”

Section: Introductionmentioning

confidence: 99%

“…Similar challenges are experienced in Neonatal care in low resource settings like in Nigeria where the use of ventilator support is yet to become widespread. 16 To experience remarkable improvements in neonatal survival these technological advancements are required. In the introduction of these advanced technological skills, it is to be realised that ventilator care cannot be used as a standalone support.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Spectrum of neonatal diseases requiring respiratory support in UBTH, Benin City, Edo State, Nigeria

Okolo¹,

Okonkwo²,

Ideh³

2016

Nig. J. Paed.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Spectrum of neonatal diseases requiring respiratory support in UBTH, Benin City, Edo State, Nigeria

Okolo¹,

Okonkwo²,

Ideh³

2016

Nig. J. Paed.

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“…Prompt attention to the need for transfer might avert the 50% of newborn deaths occurring on the first day of life [5][6][7]. Many newborn deaths results from lack of contact with the health system or lack of transfer systems to improve access to higher-level facilities [8][9][10][11]. In most developing countries, including Nigeria, emergency medical transport systems have yet to be developed.…”

Section: Introductionmentioning

confidence: 99%

Newborn Transport Practices: Influence on Newborn Survival in Benin City, Nigeria

Okonkwo¹,

Abhulimhen-Iyoha²,

Okolo³

2020

AJP

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“…However, the quality of neonatal care provided by Nigerian hospitals is not uniform and mostly manual, which creates difficulty of interpretation for inexperienced staff [14][15] [16] More so, despite the impact of CDSS applications in various sectors of the health system, its application to monitoring of vital signs of preterm babies in the NICU is limited [5], [17].…”

Section: Introductionmentioning

confidence: 99%

Implementation of a Clinical Decision Support Systems-Based Neonatal Monitoring System Framework

A¹,

Olaniyan²,

Adetan.³

et al. 2020

IJACSA

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A Clinical Decision Support-based information systems to monitor the vital signs of the neonate's conditions in prematurely born babies placed in infant incubators of Neonatal Intensive Care Unit (NICU) is developed in this work. A DMS was developed consisting of a supervisory microcomputer and sensitive sensors for measuring the vital signs. The Conventional Monitoring System (CMS) was used simultaneously with the DMS to collect the vital sign readings of thirty (30) neonates, over a period of one week. Fuzzy Inference System CDSS (FIS-CDSS) was developed for the three inputs: Temperature, Heart rate and Respiration rate (THR) based on their membership functions' value (low, medium, high) and twenty-seven (27) IF-THEN fuzzy rules using fuzzy logic toolbox in Matrix Laboratory 8.1 (R2014a). The FIS-CDSS maps the THR to an output status (Normal, Abnormal and Critical). The performance of the FIS-CDSS was evaluated using confusion matrix. The results showed that the system yielded sensitivity ranges of 90-100, 80-89, 70-79, 60-69 and 50-59% for five, eleven, seven, six and one neonates, respectively with an average sensitivity of 77.92%. The specificity of the system ranged from 5.00 to 66.67% with an associated average specificity of 35.10%. The accuracy of the FIS-CDSS ranged from 70 to 100, 60 to 69, 50 to 59 and 0 to 49% for nine, nine, eight and four neonates, respectively with an average accuracy of 60.94%. The developed system provides adequate and accurate information for on-the-spot assessment of neonates for decision making that improves the mortality rate and recovery period of neonates.

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Scope of neonatal care services in major Nigerian hospitals

Cited by 8 publications

References 5 publications

Spectrum of neonatal diseases requiring respiratory support in UBTH, Benin City, Edo State, Nigeria

Spectrum of neonatal diseases requiring respiratory support in UBTH, Benin City, Edo State, Nigeria

Newborn Transport Practices: Influence on Newborn Survival in Benin City, Nigeria

Implementation of a Clinical Decision Support Systems-Based Neonatal Monitoring System Framework

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