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Neonatal jaundice (NNJ) is a common condition in newborns during the first week of life due to increased levels of bilirubin. Usually, it resolves without consequences after 7 to 10 days. However, around 10% of the newborns develop a severe form, which if is not detected on time, can lead to irreversible consequences including brain damage, disabilities and even death.
The goal of this study is to determine the feasibility of implementing a smartphone app (Picterus JP) to screen for NNJ in low resource health facilities in Mexico and to evaluate its potential effectiveness to detect severe cases of the condition compared to the current used method that consists in visual assessment (VA).
Research questions are:
Participants will include:
Methodology:
Mothers will be asked to consent their newborn's participation. The newborns will be then randomly assigned to either:
If the bilirubin measurement with Picterus is >15 mg/dl or there is suspicion of severe NNJ by VA, newborns will be referred to emergency room for further evaluation by a doctor and/or measure the level of bilirubin in blood.
Researchers will compare the number of bilirubin blood levels >15 mg/dl between the two groups.
HCWs and newborns' parents will be interviewed to identify their perceptions and experiences towards the use of the app.
Full description
Background Neonatal jaundice (NNJ) affects a significant percentage of newborns (60%-80%) within the first 48 to 72 hours of life. Due to increased production and decreased elimination in the newborns, bilirubin accumulates in the blood, causing neonatal hyperbilirubinemia (NHB). While most cases resolve without consequences, severe NHB affects approximately 1.1 million infants annually, necessitating close monitoring and treatment. If undetected, NHB can lead to brain damage and conditions such as acute bilirubin encephalopathy, impaired neurologic development, long-term disabilities (including audiologic, language processing, cognitive and visual-motor disturbances) and, in the worst cases, death.
Currently, reliable detection of NNJ depends on invasive or expensive methods, such as transcutaneous bilirubinometer (TcB) devices and total serum bilirubin (TSB) blood tests, which are limited in most low- and middle-income countries (LMICs) as well as in out-of hospital settings. As a result, detection relies on using visual assessment (VA), an unreliable and inaccurate screening method that leads to a higher prevalence of severe consequences in LMICs than in high-income countries (HICs). This results in preventable health inequities with significant social and economic costs.
In response to these challenges, a Norwegian multidisciplinary research group developed an accessible, affordable mobile health (mHealth) solution called Picterus Jaundice Pro (Picterus JP) to screen for NHB. Picterus JP consists of a smartphone app to capture and upload images of the newborn's skin, a calibration card for accurate colour calibration in the images and a server for image analysis and storage. The app has undergone validation in Norwegian hospitals and in pilot studies in Mexico and the Philippines, demonstrating significant positive correlation between Picterus JP's bilirubin values and TSB levels as well as higher accuracy over VA.
Digital health technologies such as Picterus JP have immense potential to enhance healthcare in resource-constrained areas, but such innovations face implementation challenges that can hinder their adoption, leading to slow, unreliable and unsustainable outcomes, particularly in LMICs, such as Mexico.
To get insights about low-resource settings in Mexico, particularly in the state of Oaxaca, an exploratory study on the field to identify the main barriers and facilitators to implement Picterus JP in urban and rural public health facilities was recetly conducted. Through non-participants observations and interviews deficiencies in the current neonatal jaundice detection process and the participants' desire for a more accurate method were identified. Participants tested Picterus JP on a dummy perceiving the app as easy to use, useful and compatible with the work routine, but barriers to adoption were identified, including internet deficiencies and costs.
The aim of this study is to evaluate the feasibility of introducing Picterus JP as a tool to screen for neonatal jaundice in low-income settings of Mexico by examining whether and how the app can be implemented and evaluated.
Feasibility studies are usually conducted prior to outcome-focused pilot studies or full-scale evaluation of an intervention effectiveness and are more focused in the intervention process than in the intervention outcomes. Aspects to evaluate in feasibility studies include: recruitment capability; appropriateness of data collection procedures and outcome measures; acceptability of the intervention and study procedures; adaptability, practicality and integration of the intervention; effectiveness of the intervention; and participant responses to the intervention.
Specific Objectives:
Methodology:
Study design: feasibility RCT Study setting: Rural Hospital Bienestar No 36 in Tlacolula (HR36), Oaxaca, Mexico.
Participants:
Sample size or rationale for determining a feasible sample size: no formal sample size calculation is needed for feasibility studies. We aim to recruit 6-8 health care workers, 10-12 newborn parents, and at least 200 newborns in each arm for the intervention study based on the sample size requiered for an RCT with 90 percent power and alfa = 0.05.
Procedures:
Data analysis:
The results will be analysed by descriptive statistics for outcomes 1,2 and 3c; by thematic analysis for outcomes 3a, 3b and 4; and by X2 tests to compare proportions of variables for outcome 5 (independent variable = introduction of Picterus as a tool to detect NNJ; dependent variables = number of newborns referred to laboratory for blood test, number of referred newborns with positive blood tests, number of newborns hospitalized with NNJ as main diagnosis and number of newborns receiving NNJ specific treatment).
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611 participants in 2 patient groups
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Infanti; Jimenez Diaz
Data sourced from clinicaltrials.gov
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