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Record W4307627597 · doi:10.1002/hpm.3588

Strengthening the capacity of healthcare providers to administer intermittent preventive therapy for malaria in pregnancy in Nigeria using a quality improvement strategy

2022· article· en· W4307627597 on OpenAlexaff
Simbiat Sophia Busari, Ejemai Eboreime, Rita Okonkwo, IkeOluwapo O. Ajayi, Latifat Ibisomi

Bibliographic record

VenueThe International Journal of Health Planning and Management · 2022
Typearticle
Languageen
FieldMedicine
TopicMalaria Research and Control
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMedicineCoachingHealth careIntervention (counseling)MalariaNursingFamily medicinePsychology

Abstract

fetched live from OpenAlex

BACKGROUND: Intermittent Preventive Therapy using Sulfadoxine Pyrimethamine (IPTp-SP) is a malaria control strategy to reduce cases of malaria in pregnancy in endemic countries. However, the administration of the recommended three doses of Intermittent Preventive Therapy (IPTp) throughout the stages of pregnancy still remains low in Nigeria. Limited knowledge by health workers on the administration of the recommended doses of IPTp to pregnant women receiving antenatal care (ANC) services is partly responsible for this gap. This study applied Quality Improvement (QI) approach to improve knowledge and practice among healthcare providers with respect to the administration of IPTp-SP. METHODS: A quasi-experimental study design was carried out to evaluate the effect of QI approach consisting of training and coaching of healthcare providers to improve the administration of IPTp during ANC services. Primary Healthcare Centre Samaru was purposively selected and 11 healthcare providers participated in the study. The total duration of the intervention was for a period of 4 weeks which comprises of four training sessions conducted over a period of 2 weeks and four coaching sessions conducted for a period of another 2 weeks. The training package involved the use of the Information, Education and Communication approach of healthcare providers on IPTp administration while the coaching package involved supervision and follow-up meetings guiding healthcare providers on the protocol of IPTp administration. Antenatal care daily register was reviewed pre-intervention, intervention and post-intervention period of the study. Data were analysed using line graphs and run charts. RESULTS: A total of 36 ANC visit weeks were observed between 21 November 2016 and 27 July 2017. There was overestimation of first dose of IPTp (IPTp1) as 8 of the 16 Weeks in the pre-intervention period had more than 100% of eligible women administered IPTp1. There was evidence indicating the process of IPTp1 was relatively stable post-intervention as the data crosses the median line only six times that is, 7 runs. This indicates that the process of IPTp1 was within normal variation over the post-intervention period. The patterns of IPTp2+ administrations shows the levels of IPTp2+ administration were erratic. There was an upward shift showing immediate improvement of the administration of IPTp2+ post-intervention. CONCLUSIONS: The integrated training and coaching intervention approach improved the administration of the recommended three doses of IPTp within the context of a Primary Healthcare Centre. The data quality of the ANC daily register improved post-intervention.

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)0.008
metaresearch head score (Gemma)0.013
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.042

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.013
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.098
GPT teacher head0.415
Teacher spread0.317 · 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 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".

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Citations1
Published2022
Admission routes1
Has abstractyes

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