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BACKGROUND: Neonatal jaundice (NNJ) affects a significant proportion of newborns globally, with an increased burden in low-resource settings. Effective health risk management of NNJ is hindered, particularly in resource-constrained environments, where early detection and treatment are challenging. The careSTART S1 Total Bilirubin Strip, a point-of-care testing (POCT) device based on a diazo-method, offers a potential solution by enabling onsite bilirubin measurement, thus, addressing the gap in early NNJ detection and management. METHODS: The current study evaluated the analytical performance of the careSTART S1 Total Bilirubin Strip for precision, linearity, method comparison, and lot-to-lot consistency following CLSI guidelines. For method comparison, 105 residual EDTA whole blood samples were analyzed with the careSTART S1 Total Bilirubin Strip and compared with reference measurements from the Roche Cobas c702 analyzer. Additionally, statistical analyses, including Passing-Bablok regression and Bland-Altman plots, were performed. RESULTS: The careSTART S1 Total Bilirubin Strip showed allowable (<10%) within-laboratory imprecision of 2.5%-3.6% across all levels and demonstrated linearity over the range of 4.16-439.3 µmol/L. Method comparison revealed a constant negative bias with a mean bias -4.19 µmol/L. However, the 95% confidence interval (-7.10 to -1.28 µmol/L) of the bias is covered by the prespecified allowable bias of 8.3%, at medical decision point. Lot-to-lot variation ranged from 0.14%-6.49%, and was within the acceptable critical difference of 8.3%. CONCLUSION: The careSTART S1 Total Bilirubin Strip provided accurate and reliable bilirubin measurements that could contribute to neonatal care in settings lacking central laboratory facilities.

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Early identification of neonatal jaundice (NJ) appears to be essential to avoid bilirubin encephalopathy and neurological sequelae. The interaction between gut microbiota and metabolites plays an important role in early life. It is unclear whether the composition of the gut microbiota and metabolites can be used as an early indicator of NJ or to aid clinical decision-making. This study involved a total of 196 neonates and conducted two rounds of "discovery-validation" research on the gut microbiome-metabolome. It utilized methods of machine learning, causal inference, and clinical prediction model evaluation to assess the significance of gut microbiota and metabolites in classifying neonatal jaundice (NJ), as well as the potential causal relationships between corresponding clinical variables and NJ. In the discovery stage, NJ-associated gut microbiota, network modules, and metabolite composition were identified by gut microbiome-metabolome association analysis. The NJ-associated gut microbiota was closely related to bile acid metabolites. By Lasso machine learning assessment, we found that the gut bacteria were associated with abnormal bile acid metabolism. The machine learning-causal inference approach revealed that gut bacteria affected serum total bilirubin and NJ by influencing bile acid metabolism. NJ-associated gut bile acids are potential biomarkers of NJ, and clinical prediction models constructed based on these biomarkers have some clinical effects and the model may be used for disease risk prediction. In the validation stage, it was found that intestinal metabolites can predict NJ, and the machine learning-causal inference approach revealed that bile acid metabolites affected NJ itself by affecting the total bilirubin content. Intestinal bile acid metabolites are potential biomarkers of NJ. By applying machine learning-causal inference methods to gut microbiome-metabolome association studies, we found NJ-associated intestinal bacteria and their network modules and bile acid metabolite composition. The important role of intestinal bacteria and bile acid metabolites in NJ was determined, which can predict the risk of NJ.

Association analysis of the intestinal microbiome-metabolome found that neonatal jaundice (NJ)-related intestinal microbiota, network modules and metabolite composition, and the intestinal microbiota are closely related to bile acid metabolites.Gut bacteria were found to affect serum total bilirubin (TBIL) and NJ by influencing bile acid metabolism through a machine learning-causal inference approach, and bile acid metabolites affected NJ itself by affecting the TBIL content.NJ-associated gut bacteria and bile acids are potential biomarkers of NJ, and clinical decision-making models based on these biomarkers have some clinical effects for disease risk prediction.

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Attention-Deficit/Hyperactivity Disorder (ADHD), a prevalent childhood neurodevelopmental disorder with complex etiology involving genetic and environmental factors, causes impairments across various life domains and substantial social and economic burden. Identifying correlates to prevent its onset and decrease its incidence is crucial. To our knowledge, our study represents the first case-control investigation of Lebanese ADHD patients to explore potential correlations between familial, maternal, and child health variables and ADHD to enhance understanding of its etiology and aid in prevention efforts. We recruited 61 Lebanese ADHD patients and 58 matched controls aged 6-24 years from all districts of Lebanon. The data to analyze were collected using a questionnaire. We employed statistical tests, including the independent samples t-test and the Chi-square test or Fisher's exact test. We conducted a multivariate logistic regression analysis to identify the statistically significant factors explaining ADHD likelihood. We observed male predominance (68.9%) among patients. Maternal anemia during pregnancy (OR = 3.654; 95% CI [1.158-11.529]), maternal self-reported stress during pregnancy (OR = 3.268; 95% CI [1.263-8.456]), neonatal jaundice (OR = 5.020; 95% CI [1.438-17.532]), and familial history of ADHD (OR = 12.033; 95% CI [2.950-49.072]) were significantly associated with increased odds of the disorder. On the other hand, breastfeeding (OR = 0.263; 95% CI [0.092-0.757]) was identified as a protective factor against ADHD. This pilot study shed light on risk and protective factors associated with ADHD in the Lebanese population. The results are relevant, as some identified correlates could be avoidable. Further rigorous investigation is required to expand upon the observed correlations and to assist in early detection, prevention, and intervention strategies targeting ADHD.

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AIM: This study estimated the healthcare cost savings for the government due to the prevention of gastroenteritis (GE) infections and lower respiratory tract infections (LRTI) in the first year of life, attributed to an increase in the exclusive breastfeeding rate at 4 months in Hong Kong. METHODS: The model used the best available data inputs, with uncertainty considered using probabilistic sensitivity analysis. We additionally assessed the impact of neonatal jaundice (NNJ) on the economic benefits of increasing exclusive breastfeeding rates. RESULTS: During 2010-2019, five admissions for GE and three admissions for LRTI per 1000 births would have been prevented in the first year of life if the exclusive breastfeeding rate at 4 months increased from the actual levels (~15-30%) to 50%, resulting in annual healthcare cost savings of USD1.05 (95% CI 1.03-1.07) million/year. The cost saving would reach USD1.89 (95% CI 1.86-1.92) million/year if the exclusive breastfeeding rate at 4 months increase to 70%. However, if higher NNJ admissions during 7-90 days related to more exclusive breastfeeding are considered, the cost saving would reduce by 60%. CONCLUSION: Our findings can guide policymakers in allocating budget and resources for breastfeeding promotion in Hong Kong. The prevention of unnecessary NNJ admissions would maximise the economic benefits of exclusive breastfeeding at 4 months.

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BACKGROUND: Hemolytic disease of fetus and newborn is a major risk factor for anemia and hyperbilirubinemia in newborns. Early identification and diagnosis can significantly improve neonatal health. CASE REPORT: This report documents a case of hemolytic disease of fetus and newborn presenting as persistent neonatal anemia requiring frequent transfusion support. The underlying cause was determined to be the passive acquisition of hemolytic alloantibodies (anti-c) via breast milk. CONCLUSION: Importance of antenatal screening for red cell antibodies is gradually being recognized and adopted in developing countries to minimize the burden of HDFN. Breast milk should be considered as a potential source of hemolysing alloantibodies in newborns and may require evaluation in mothers with alloantibodies in her serum.

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OBJECTIVE: To determine the incidence, risk factors and outcomes of babies with neonatal jaundice in a network of referral-level hospitals in Nigeria. DESIGN: A cross-sectional analysis of perinatal data collected over a 1-year period. SETTING: Fifty-four referral-level hospitals (48 public and 6 private) across the six geopolitical zones of Nigeria. POPULATION: A total of 77 026 babies born at or admitted to the participating facilities (67 697 hospital live births; plus 9329 out-born babies), with information on jaundice between 1 September 2019 and 31 August 2020. METHODS: Data were extracted and analysed to calculate incidence and sociodemographic and clinical risk factors for neonatal jaundice. MAIN OUTCOME MEASURES: Incidence and risk factors of neonatal jaundice in the 54-referral hospitals in Nigeria. RESULTS: Of 77 026 babies born in or admitted to the participating facilities, 3228 had jaundice (41.92 per 1000 live births). Of the 67 697 hospital live births, 845 babies had jaundice (12.48 per 1000 live births). The risk factors associated with neonatal jaundice were no formal education (adjusted odds ratio [aOR] 1.68, 95% CI 1.11-2.52) or post-secondary education (aOR 1.17, 95% CI 0.99-1.38), previous caesarean section (aOR 1.68, 95% CI 1.40-2.03), booked antenatal care at <13 weeks or 13-26 weeks of gestation (aOR 1.58, 95% CI 1.20-2.08; aOR 1.15, 95% CI 0.93-1.42, respectively), preterm birth (aOR 1.43, 95% CI 1.14-1.78) and labour more than 18 hours (aOR 2.14, 95% CI 1.74-2.63). CONCLUSIONS: Hospital-level and regional-level strategies are needed to address newborn jaundice, which include a focus on management and discharge counselling on signs of jaundice.

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OBJECTIVE: To investigate the effects of gestational age (GA) and phototherapy on the plasma metabolite profile of preterm infants with neonatal hyperbilirubinemia (NHB). STUDY DESIGN: From a cohort of prospectively enrolled infants born preterm (n = 92), plasma samples of very preterm (VPT; GA, 28 + 0 to 31 + 6 weeks, n = 27) and moderate/late preterm (M/LPT; GA, 32 + 0 to 35 + 6 weeks, n = 33) infants requiring phototherapy for NHB were collected prior to the initiation of phototherapy and 24 hours after starting phototherapy. An additional sample was collected 48 hours after starting phototherapy in a randomly selected subset (n = 30; VPT n = 15; M/LPT n = 15). Metabolite profiles were determined using ultraperformance liquid chromatography tandem mass spectroscopy. Two-way ANCOVA was used to identify metabolites that differed between GA groups and timepoints after adjusting for total serum bilirubin levels (false discovery rate q-value < 0.05). Top impacted pathways were identified using pathway over-representation analysis. RESULTS: Phototherapy was initiated at lower total serum bilirubin (mean ± SD mg/dL) levels in VPT compared with M/LPT infants (7.3 ± 1.4 vs 9.9 ± 1.9, P < .01). We identified 664 metabolites that were significant for a phototherapy effect, 191 metabolites significant for GA, and 46 metabolites significant for GA × phototherapy interaction (false discovery rate q-value < 0.05). Longer duration phototherapy had a larger mean effect size (24 hours postphototherapy: d = 0.36; 48 hours postphototherapy: d = 0.43). Top pathways affected by phototherapy included membrane lipid metabolism, one-carbon metabolism, creatine biosynthesis, and oligodendrocyte differentiation. CONCLUSION: Phototherapy alters the plasma metabolite profile more than GA in preterm infants with NHB, affecting pathways related to lipid and one-carbon metabolism, energy biosynthesis, and oligodendrocyte differentiation.

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BACKGROUND AND OBJECTIVES: Neonatal adrenal hemorrhage (NAH) is relatively uncommon in neonates and it is often noted accidently by abdominal ultrasonogram. Few studies discussed risk factors for and impacts of NAH. This study aimed to assess incidence, perinatal characteristics and follow-up outcomes in neonates with adrenal hemorrhage. METHODS: This was a retrospective cohort study in a single institute from April 2008 to August 2018. All neonates who received abdominal ultrasonogram within seven days-of-life were recruited and divided in to 2 groups according to the presence of NAH. The perinatal characteristics and anthropometric measurements, the follow-up course and the clinical impact of NAH were reviewed in detail. RESULTS: 7217 neonates had received abdominal ultrasonogram within seven days-of-life and 29 of them (0.4%) were diagnosed with NAH. Mean gestation age was 38 ± 1.2 weeks and mean birth weight was 3406 ± 403 g. Most infants (96.6%) had unilateral hemorrhage over the right adrenal gland. Compared with the control group, infants with NAH were significantly heavier (3406 vs. 3094 gm, p < 0.001), longer in body length (50.1 vs. 48.8 cm, p < 0.001) and wider in chest girth (33.2 vs. 32.4 cm, p = 0.006). They also tended to be delivered via vaginal delivery with vacuum-extraction rather than cesarean section. The prevalence of nuchal cord, neonatal jaundice and subgaleal hemorrhage was higher in the NAH group. The hemorrhage area of adrenal gland had a positive correlation with the peak bilirubin level (r = 0.422, p < 0.001) and the days to resolution (r = 0.198, p = 0.033). All infants had resolution of AH before 7 months of age. CONCLUSIONS: NAH occurred more frequently in heavier neonates that were delivered via vaginal delivery with vacuum extraction. The hemorrhage involved mostly over the right adrenal gland. Neonatal jaundice was the major comorbidity. All infants had spontaneous resolution of AH before 7 months of age.

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Infantile pyknocytosis (IP) is a rare, probably misestimated, cause of non-immune neonatal hemolytic anemia evolving in two phases: an initial phase with severe jaundice, followed by a second phase with hemolytic anemia, which may require neonatal intensive care. The diagnosis of IP is based on the transient presence on blood smear of hyperdense, contracted, and/or spiculated red blood cells (pyknocytes), associated with the spontaneous resolution of clinico-biological features and the exclusion of other causes. If the etiology remains undetermined, some contributing factors, such as oxidative stress, have been proposed. We report the description of 16 patients with IP aiming at clarifying the circumstances associated with the development of this acquired disorder. In the acute phase, the mean hemoglobin nadir and pyknocyte count were 7.8 g/dL and 11%, respectively, and strikingly, Heinz bodies were evident in 50% of the newborns, but in 100% after prolonged incubation (4 hours). A high proportion of Mediterranean or African ancestry was noted in newborns, as well as a significant number of peripartum events, such as respiratory distress. If the etiology of IP is certainly multifactorial, our series reinforces the role of oxidative stress, which may, at least in part, find origin in desaturation episodes in newborns.

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Purpose: The presence of alcoholic stool in biliary atresia (BA) patients is the basis of a stool color card (SCC), a screening tool that has led to more patients receiving Kasai portoenterostomy earlier. This study aimed to evaluate the color image processing of stool images captured using smartphones. We propose that measuring digital color parameters is a more objective method for identifying BA stools and may improve the sensitivity of BA screening. Methods: A prospective study was conducted in five hospitals in Thailand between October 1, 2020, and December 31, 2021. Stools from infants presenting with jaundice, acholic stool, or dark-colored urine were photographed. Digital image color analysis was performed, and software was developed based on the color on the original SCC. Sensitivity and specificity for predicting BA stools were compared between the SCC and the software. Results: Of 33 infants eligible for data collection, 19 were diagnosed with BA. Saturation and blue were two potential digital color parameters used to differentiate BA stools. The receiver operating characteristic curve was used to determine the optimum cutoff point of both values, and when saturation ≤56 or blue ≥61 was set as a threshold for detecting BA stool, high accuracy was achieved at 81.8% and 78.8%, respectively. Conclusion: Digital image processing is a promising technology. With appropriate cutoff values of saturation in hue, saturation, value and blue in red, green, blue color models, BA stools can be identified, and equivocal-colored stools of non-BA patients can be differentiated with acceptable accuracy in infants presenting with jaundice.

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One of the most common problems many babies encounter is neonatal jaundice. The symptoms are yellowing of the skin or eyes because of bilirubin (from above 2.0 to 2.5 mg/dL in the blood). If left untreated, it can lead to serious neurological complications. Traditionally, jaundice detection has relied on invasive blood tests, but developing non-invasive biosensors has provided an alternative approach. This systematic review aims to assess the advancement of these biosensors. This review discusses the many known invasive and non-invasive diagnostic modalities for detecting neonatal jaundice and their limitations. It also notes that the recent research and development on non-invasive biosensors for neonatal jaundice diagnosis is still in its early stages, with the majority of investigations being in vitro or at the pre-clinical level. Non-invasive biosensors could revolutionize neonatal jaundice detection; however, a number of issues still need to be solved before this can happen. These consist of in-depth validation studies, affordable and user-friendly gadgets, and regulatory authority approval. To create biosensors that meet regulatory requirements, additional research is required to make them more precise and affordable.

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BACKGROUND: Neonatal jaundice is a common condition that can lead to brain damage and disabilities when severe cases go undetected. Low- and middle-income countries often lack accurate methods for detecting neonatal jaundice and rely on visual assessment, resulting in a higher incidence of adverse consequences. Picterus Jaundice Pro (Picterus JP), an easy-to-use and affordable smartphone-based screening device for the condition, has demonstrated higher accuracy than visual assessment in Norwegian, Philippine and Mexican newborns. This study aimed to identify the barriers and facilitators to implementing Picterus JP in public health services in low-income settings in Mexico by exploring the current process of neonatal jaundice detection and stakeholders' perspectives in that context. METHODS: Qualitative data collection techniques, including one focus group, 15 semi-structured interviews and four observations, were employed in urban and rural health facilities in Oaxaca, Mexico. The participants included medical doctors, nurses and health administrators. The data were analysed by thematic analysis guided by the Consolidated Framework for Implementation Research. RESULTS: The analysis yielded four main themes: (I) the current state of neonatal care and NNJ detection, (II) the needs and desires for enhancing NNJ detection, (III) the barriers and facilitators to implementing Picterus JP in the health system and (IV) HCWs' expectations of Picterus JP. The findings identify deficiencies in the current neonatal jaundice detection process and the participants' desire for a more accurate method. Picterus JP was perceived as easy to use, useful and compatible with the work routine, but barriers to adoption were identified, including internet deficiencies and costs. CONCLUSIONS: The introduction of Picterus JP as a supporting tool to screen for neonatal jaundice is promising but contextual barriers in the setting must be addressed for successful implementation. There is also an opportunity to optimise visual assessment to improve detection of neonatal jaundice.

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Persistent challenges in addressing severe neonatal hyperbilirubinaemia in resource-constrained settings have led to ongoing and often unacceptable rates of morbidity, disability and mortality. These challenges stem from limitations such as inadequate, inefficient or financially inaccessible diagnostic and therapeutic options. However, over the past decade, noteworthy innovations have emerged to address some of these hurdles, and these innovations are increasingly poised for broader implementation. This review provides a concise summary of these novel, economically viable diagnostic solutions, encompassing point-of-care assays and smartphone applications, as well as treatment modalities, notably more effective phototherapy and filtered sunlight. These advancements hold promise and have the potential to meaningfully reduce the burden of neonatal hyperbilirubinaemia, signifying a promising shift in the landscape of neonatal healthcare.

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INTRODUCTION: This study aimed to develop models for predicting total serum bilirubin by correcting errors of transcutaneous bilirubin using machine learning based on neonatal biomarkers that could affect spectrophotometric measurements of tissue bilirubin. METHODS: This retrospective study included infants born at our hospital (≥36 weeks old, ≥2,000 g) between January 2020 and December 2022. Infants without a phototherapy history were included. Robust linear regression, gradient boosting tree, and neural networks were used for machine learning models. A neural network, inspired by the structure of the human brain, was designed comprising three layers: input, intermediate, and output. RESULTS: Totally, 683 infants were included. The mean (minimum-maximum) gestational age, birth weight, participant age, total serum bilirubin, and transcutaneous bilirubin were 39.0 (36.0-42.0) weeks, 3,004 (2,004-4,484) g, 2.8 (1-6) days of age, 8.50 (2.67-18.12) mg/dL, and 7.8 (1.1-18.1) mg/dL, respectively. The neural network model had a root mean square error of 1.03 mg/dL and a mean absolute error of 0.80 mg/dL in cross-validation data. These values were 0.37 mg/dL and 0.28 mg/dL, smaller compared to transcutaneous bilirubin, respectively. The 95% limit of agreement between the neural network estimation and total serum bilirubin was -2.01 to 2.01 mg/dL. Unnecessary blood draws could be reduced by up to 78%. CONCLUSION: Using machine learning with transcutaneous bilirubin, total serum bilirubin estimation error was reduced by 25%. This integration could increase accuracy, lessen infant discomfort, and simplify procedures, offering a smart alternative to blood draws by accurately estimating phototherapy thresholds.

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Measurement of transcutaneous bilirubin (TcB) is a non-invasive, widely used technique to estimate serum bilirubin (SB). However, its reliability in multiethnic populations during and after phototherapy is still controversial even in covered skin. The aim of this study was to determine the reliability of TcB in covered (cTcB) and exposed (eTcB) skin during and after phototherapy in a multiethnic population of term and preterm neonates according to Neomar's neonatal skin color scale. Prospective, observational study comparing SB and TcB. We determined SB when clinically indicated and, at the same time, measured cTcB under a photo-opaque patch and eTcB next to it with a jaundice meter (Dräger JM-105TM). All dyads TcB-SB were compared, both globally and according to skin color. We obtained data from 200 newborns (color1: 44, color2: 111, color3: 41, color4: 4) and compared 296 dyads TcB/SB. Correlation between cTcB and SB is strong during (0.74-0.83) and after (0.79-0.88) phototherapy, both globally and by color group. The SB-cTcB bias depends on gestational age during phototherapy and on skin color following phototherapy. The correlation between eTcB and SB during phototherapy is not strong (0.54), but becomes so 12 h after discontinuing phototherapy (0.78).  Conclusions: Our study supports the reliability of cTcB to assess SB during and after phototherapy, with differences among skin tones after the treatment. The use of cTcB and Neomar's scale during and mainly after phototherapy may help reduce the number of blood samples required. What is Known: • Controversies exist on the reliability of jaundice meters during and after phototherapy in covered skin. Only a few studies have analyzed their accuracy in multiethnic populations, but none has used a validated neonatal skin color scale. What is New: • We verified correlation between serum and transcutaneous bilirubin in covered skin in a multiethnic population depending on skin color based on our own validated neonatal skin color scale during and after phototherapy.

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BACKGROUND: Ethnic inequalities in maternal and neonatal health in the UK are well documented. Concerns exist regarding the use of skin colour in neonatal assessments. Healthcare professionals should be trained to recognise symptoms of diverse skin tones, and comprehensive, and inclusive guidance is necessary for the safe assessment of all infants. Disparities in healthcare provision have been emphasised during the COVID-19 pandemic, and additional research is needed to determine whether such policies adequately address ethnic minority neonates. METHODS: A desktop search included searches of guidance produced for the United Kingdom (UK). Further searches of the Cochrane and World Health Organization (WHO) were used to identify any international guidance applicable in the UK context. RESULTS: Several policies and one training resource used descriptors 'pink,' 'pale,' 'pallor,' and 'blue' about neonatal skin and mucous membrane colour. No policies provided specific guidance on how these colour descriptors may appear in neonates with different skin pigmentation. Only the NICE guidance and HEE e-learning resource acknowledged the challenges of assessing jaundice in infants with diverse skin tones, while another guideline noted differences in the accuracy of bilirubin measurements for the assessment of jaundice. Three policies and one training resource advised against relying on visual observation of skin colour when diagnosing neonatal conditions. The training resource included images of ethnic minority neonates, although most images included white infants. CONCLUSIONS: Inadequate consideration of ethnicity in UK policy and training perpetuates disparities, leading to inaccurate assessments. A review is needed for inclusivity in neonatal care, regardless of skin pigmentation.

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BACKGROUND: Neonatal jaundice is a condition caused by elevated levels of bilirubin in the bloodstream. Laboratory determination of serum bilirubin concentration by total serum bilirubin (TSB) test is still considered as gold standard for clinical guidance and practice. In developed countries, diagnosis of neonatal jaundice is shifting towards point-of-care medical devices. BiliDx is a device developed to allow a fast, blood-based determination of bilirubin levels at the point of care. This study aimed to determine the accuracy of the BiliDx device relative to a standard laboratory total serum bilirubin to diagnose and monitor jaundice among neonates admitted at Muhimbili National Hospital (MNH). MATERIAL AND METHODOLOGY: This was a prospective hospital-based observational study conducted at the Neonatal Ward - MNH, Dar-es-Salaam, Tanzania from November 2022 to January 2023. A total of 180 neonates admitted at the neonatal ward with jaundice and whose parents consented were enrolled in the study. Blood samples were collected; 2 ml of venous blood into the vacutainer bottle for standard laboratory measurement of total serum bilirubin (TSB) and 25µL blood collected into a transfer pipette tube and applied to BiliDx. STATA version 15.1 was used for data analysis. RESULTS: Out of 180 neonates, 39.4% (71/180) had birth weight between 1500 - 2499.9 g, approximately 2/3rd (120/180) were preterm, 92/180 (51.1%) were males and 100/180 (55.6%) were undergoing phototherapy treatment the moment sample taken. The mean bilirubin concentration was 92 mmol/l for BiliDx and 118 mmol/l for standard laboratory TSB. The minimum and maximum values obtained with BiliDx were, 3.4 and 427.5 mmol/l respectively, compared with 10.7 and 382.1 mmol/l using standard laboratory TSB. A linear relationship and correlation coefficient of 0.8408 (p = 0.000) between BiliDx and standard laboratory TSB was found. The regression analysis showed the presence of constant error [coefficient of BiliDx/slope = 0.91, 95% CI (0.82-0.99), p = 0.000] and random error exclusively [coefficient of constant/y-intercept = 48.52, 95%CI (37.70-59.34), p = 0.000]. The Bland-Altman plot showed an acceptable mean difference of 39.1mmol/l, limits of agreement of -48.3mmol/l to 126.4mmol/l, and 179 points (179/180 = 99.4%) lying inside the limits of agreement. CONCLUSION: The results support the use of BiliDx for rapid and accurate testing of elevated levels of bilirubin in the bloodstream among neonates since 99.4% of the differences between BiliDx and standard laboratory TSB lie between the lines of agreement.

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Background: Mobile health has enormous potential in healthcare due to the increasing use of mobile phones in low- and middle-income countries; its effective deployment, uptake, and utilization may result in improved health outcomes, including a reduction in neonatal deaths. However, there is a suboptimal uptake of mobile health technologies among healthcare workers in low-resource settings like Nigeria, which are often context-specific. Objective: To investigate healthcare workers' perceptions of mobile health technologies in public health facilities in Lagos, Nigeria. Method: A qualitative study was conducted, and data were collected through six focus group discussions with 26 healthcare workers (doctors, nurses, and community health extension workers) from three public health facilities in Lagos, Nigeria. The collected data were analyzed using a thematic approach, where themes and subthemes were created. Results: Although the participants acknowledged that mobile health enhances patient-provider communication and saves time, they identified altering of healthcare workers' routine practices, information overload, power and network failure, skepticism, lack of trust, and concerns over diagnostic accuracy as potential barriers to its uptake. Conclusion: Addressing healthcare workers' perceptions of mobile health technologies may enhance the deployment and uptake of such solutions in Nigeria and similar low-resource settings. Developers and implementers of such can use them to create new or enhance existing mobile health solutions to better meet the needs and requirements of healthcare workers in low- to middle-income health settings, such as Lagos, Nigeria.