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Record W2954715009 · doi:10.1186/s12884-019-2385-5

Humanizing birth in Tanzania: a qualitative study on the (mis) treatment of women during childbirth from the perspective of mothers and fathers

2019· article· en· W2954715009 on OpenAlexaff
Lilian Teddy Mselle, Thecla W. Kohi, Justine Dol

Bibliographic record

VenueBMC Pregnancy and Childbirth · 2019
Typearticle
Languageen
FieldMedicine
TopicMaternal and Perinatal Health Interventions
Canadian institutionsDalhousie University
Fundersnot available
KeywordsChildbirthMedicineTanzaniaNeglectNursingQualitative researchFocus groupHealth careFamily medicinePregnancySocioeconomics

Abstract

fetched live from OpenAlex

BACKGROUND: While there has been a trend for greater number of women to deliver at health facilities across Tanzania, mothers and their family members continue to face mistreatment with respectful maternity care during childbirth being violated. The objective of this study was to describe the experience of mothers and fathers in relation to (mis) treatment during childbirth in Tanzania. METHODS: Using a qualitative descriptive design, 12 semi-structured interviews and four focus group discussions were held with mothers and fathers who were attending a postnatal clinic in the Lake Zone region of Tanzania. Mothers' age ranged from 20 to 45 years whereas fathers' age ranged from 25 to 60 years. Data were analyzed using a priori coding based on Bohren's et al. typology of the mistreatment of women during childbirth. RESULTS: Mothers reported facing mistreatment and disrespectful maternity care through verbal abuse (harsh or rude language and judgmental or accusatory comments), failure to meet professional standards of care (refused pain relief, unconsented surgical operations, neglect, abandonment or long delays, and skilled attendant absent at time of delivery), poor rapport between women and providers (poor communication, lack of supportive care, denied husbands presence at birth, denied mobility, denied safe traditional practices, no respect for their preferred birth positions), and health system conditions and constraints (poor physical condition of facilities, supply constraints, bribery and extortion, unclear fee structures). Despite some poor care, some mothers also reported positive birthing experiences and respectful maternity care by having a skilled attendant assistance at delivery, having good communication from nurses, receiving supportive care from nurses and privacy during delivery. CONCLUSION: Despite the increasing number of deliveries occurring in the hospital, there continue to be challenges in providing respectful maternity care. Humanizing birth care in Tanzania continues to have a long way to go, however, there is evidence that changes are occurring as mothers notice and report positive changes in delivery care practices.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.326
Threshold uncertainty score0.343

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 head0.034
GPT teacher head0.329
Teacher spread0.295 · 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

Citations59
Published2019
Admission routes1
Has abstractyes

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