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Record W4322217095 · doi:10.1186/s12939-023-01852-3

Hot fomentation of newborn fontanelles as an indigenous practice in Ghana: implications for policy and integrated community-based health care in Covid-19 pandemic and beyond

2023· review· en· W4322217095 on OpenAlexaff
Mary Ani–Amponsah, Solina Richter, Mariam Al-Hassan Adam, Evans Appiah Osei, Mahama Mustapha, Ezekiel Oti-Boadi

Bibliographic record

VenueInternational Journal for Equity in Health · 2023
Typereview
Languageen
FieldHealth Professions
TopicNeonatal skin health care
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsIndigenousPandemicCoronavirus disease 2019 (COVID-19)Public healthSocial policyHealth policyHealth services researchPublic health policy2019-20 coronavirus outbreakPolitical scienceEconomic growthEnvironmental healthMedicineVirologyNursingBiologyEconomicsEcology

Abstract

fetched live from OpenAlex

OBJECTIVE: African newborns undergo numerous traditional and religious practices ranging from fontanelle fomentation to total head shaving, scalp molding, skin scarification and ano-genital irrigation which can negatively impact the health of neonates. Hot fomentation of fontanelles has been a predominant indigenous home-based postnatal practice in Ghana and among Africans in the diaspora. Mobility restrictions during the Covid-19 pandemic has impacted direct access to facility-based care as well as home care. The flourishing of newborn traditional practices among African populations during this Covid-19 pandemic offers opportunities to rethink the provision of family healthcare support for newborns during the ongoing pandemic and beyond. Hence, the aim of this critical review was to examine and describe a common indigenous practice-hot fontanelle fomentation to inform home birth support, discharge planning, and the delivery of optimal home-based care support. STUDY DESIGN: This study is a review of literature on hot fomentation of newborn fontanelles. METHODS: Literature search in CINAHL, PubMed, African Index Medicus and Scopus, was conducted and evidence synthesised from articles ranging from 1983-2022. Sixty articles were reviewed; however, 10 manuscripts were excluded prior to screening. The other 19 were exempted because they were either below 1983 or were not the best fit for the study purpose. In all, 31 studies were included in the study. The study was guided by Madeleine Leininger's Culture Care Diversity and Universality care theory. RESULTS: The current study identifies hot fomentation of newborn fontanelles practices in Ghana, the description of hot fomentation practices and the dangers associated with it. The findings and suggested ways to help overcome this challenge. CONCLUSION: There are several neonatal indigenous practices including fontanelle fomentation which pose threat to the health of the neonate as discussed in this study. Future research needs to investigate innovative ways of fontanelle fomentation where necessary instead of the use of hot water by mothers, especially in this Covid-19 pandemic where health and mobility restrictions impact physical access to timely health care. This research will help educate mothers about the dangers of fontanel fomentation and reduce the practice, especially in rural areas of developing countries. This could help reduce neonatal mortality and unnecessary healthcare costs.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.020
Threshold uncertainty score0.040

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.344
GPT teacher head0.654
Teacher spread0.310 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations7
Published2023
Admission routes1
Has abstractyes

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