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Record W3111682288 · doi:10.1186/s12889-021-11652-5

Towards a comprehensive breastfeeding-friendly workplace environment: insight from selected healthcare facilities in the central region of Ghana

2021· article· en· W3111682288 on OpenAlexaff
Jacqueline Nkrumah, Aaron Asibi Abuosi, Rodney Buadi Nkrumah

Bibliographic record

VenueBMC Public Health · 2021
Typearticle
Languageen
FieldMedicine
TopicBreastfeeding Practices and Influences
Canadian institutionsMcGill University
Fundersnot available
KeywordsBreastfeedingMedicineBiostatisticsPublic healthEnvironmental healthHealth careNursingPediatricsEconomic growth

Abstract

fetched live from OpenAlex

BACKGROUND: In the last three decades, Ghana has championed the objectives of Baby-Friendly Hospital Initiatives to provide pregnant women and nursing mothers with the skills and support systems necessary for attaining optimal breastfeeding. Yet, little is known in literature on how these intervention regimes practically promote breastfeeding-friendly work environment in healthcare facilities and their level of effectiveness. This study explores the extent to which healthcare facilities in Ghana's Effutu Municipality provide breastfeeding-friendly workplace environment to breastfeeding frontline health workers. METHODS: A descriptive mixed-method approach was employed to collect data from fifty-four participants, comprising healthcare facility representatives and breastfeeding frontline health workers. A self-administered questionnaire with structured responses was administered to frontline health workers, followed by interview guides for representatives of hospital management. Thematic analysis was used to analyze interview responses. Responses to questionnaires were processed with SPSS version 23.0 and presented using frequencies and percentages. RESULTS: Three main themes emerged, namely, Standpoints on workplace breastfeeding support; Breastfeeding support, and Suggested future directions. Beyond this, six sub-themes emerged, including backings for workplace breastfeeding support; perceived benefits of breastfeeding support; factors of poor breastfeeding workplace support; maternity protection benefits; workplace support gaps, and awareness creation on benefits. Breastfeeding frontline health workers held that their hospitals have no breastfeeding policy (96%), no breastfeeding facility (96%), they do not go to work with baby (96%), but had 12 weeks maternity leave (96%) and worked half-day upon return to work (70%). CONCLUSION: Health facilities in the study do not provide a breastfeeding-friendly work environment except for the privileges provided by the Labor Act and conditions of service. Continuous advocacy on breastfeeding workplace support and stakeholder engagement to build consensus on the mix of strategies suitable to cushion breastfeeding frontline health workers is recommended for optimal breastfeeding and improved productivity.

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)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.016
Threshold uncertainty score0.033

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.002
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.058
GPT teacher head0.296
Teacher spread0.238 · 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 designQualitative
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

Citations7
Published2021
Admission routes1
Has abstractyes

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