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Record W4297141580 · doi:10.1136/bmjgh-2022-008469

Home-based management of neonatal sepsis: 23 years of sustained implementation and effectiveness in rural Gadchiroli, India, 1996–2019

2022· article· en· W4297141580 on OpenAlexaff
Abhay Bang, Sanjay B Baitule, Mahesh Deshmukh, Anand A Bang, Jessica Duby

Bibliographic record

VenueBMJ Global Health · 2022
Typearticle
Languageen
FieldMedicine
TopicNeonatal and Maternal Infections
Canadian institutionsMcGill University Health Centre
Fundersnot available
KeywordsMedicineSepsisNeonatal sepsisOddsLogistic regressionPediatricsOdds ratioCohortEmergency medicineInternal medicine

Abstract

fetched live from OpenAlex

INTRODUCTION: Although hospitalisation remains the preferred management for neonatal sepsis, it is often not possible in resource-limited settings. The Home-Based Newborn Care (HBNC) study in Gadchiroli, India (1995-1998) was the first trial to demonstrate that neonatal sepsis can be managed in the community. HBNC continues to operate in Gadchiroli. In 2015, WHO recommended community-based management of neonatal sepsis when hospitalisation is not feasible but called for implementation research. We studied the implementation and effectiveness of home-based management of neonatal sepsis over 23 years in Gadchiroli. METHODS: In this cohort study (1996-2019), community health workers (CHWs) visited neonates at home in 39 villages in Gadchiroli, India. CHWs screened, diagnosed sepsis and offered home-based antibiotic treatment if hospitalisation was refused. We evaluated the implementation outcomes of coverage, diagnostic fidelity and adoption. We assessed the association between treatment type and odds of neonatal death using mixed effects logistic regression. Time trends were analysed using the Mann-Kendall test. RESULTS: CHWs screened 93.8% (17 700/18 874) of neonates (coverage) and correctly diagnosed 89% (1051/1177) of sepsis episodes (diagnostic fidelity). Home-based management was preferred by 88.4% (929/1051) of parents (adoption), with 5.6 percent of total neonates receiving antibioties at home. Compared with neonates treated at home, the adjusted odds of death was 5.27 (95% CI 1.91 to 14.58) times higher when parents refused all treatment, 2.17 (95% CI 1.07 to 4.41) times higher when CHWs missed the diagnosis and 5.45 (95% CI 2.74 to 10.87) times higher when parents accepted hospital referral. Implementation outcomes remained consistent over 23 years (coverage p=0.57; fidelity p=0.57; adoption p=0.26; mortality p=0.71). The rate of facility births increased (p<0.01) and the sepsis incidence decreased (p<0.05) over 23 years. CONCLUSION: Implementation of home-based management of neonatal sepsis was sustainable and effective over 23 years. During this period, the need for home-based management in Gadchiroli is declining. Home-based management is advised where sepsis remains a major cause of neonatal mortality and hospital access is limited.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.217
Threshold uncertainty score0.852

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.009
GPT teacher head0.361
Teacher spread0.352 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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

Citations10
Published2022
Admission routes1
Has abstractyes

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