MétaCan
Menu
Back to cohort
Record W2895188671 · doi:10.1186/s12978-018-0599-z

Overview of literature on RMC and applications to Tanzania

2018· review· en· W2895188671 on OpenAlexafffund
Karline Wilson‐Mitchell, Lucia Eustace, Jamie R. Robinson, Aloisia Shemdoe, Stephano Simba

Bibliographic record

VenueReproductive Health · 2018
Typereview
Languageen
FieldMedicine
TopicGlobal Maternal and Child Health
Canadian institutionsAssociation of Ontario MidwivesToronto Metropolitan University
FundersGlobal Affairs Canada
KeywordsPublic relationsHuman rightsPsychological interventionReproductive medicineNursingPolitical scienceSociologyMedicineLaw

Abstract

fetched live from OpenAlex

Respectful maternity care research in Tanzania continues to increase. This is an overview of the literature summarizing research based on the domains which comprise this quality of care indicator, ranging from exploratory and descriptive to quantitative measurements of birth perinatal outcomes when respectful interventions are made. The domains of respectful care are reflected in the seven Universal Rights of Childbearing Women but go further to implicate facility administrators and policy makers to provide supportive infrastructure to allay disrespect and abuse.The research methodologies continue to be problematic and several ethical cautions restrict how much control is possible. Similarly, the barriers to collecting accurate accounts in qualitative studies of disrespect require astute interviewing and observation techniques. The participatory community-based and the critical sociology and human rights frameworks appear to provide a good basis for both researcher and participants to identify problems and determine possible solutions to the multiple factors that contribute to disrespect and abuse. The work-life conditions of midwives in the Global South are plagued with poor infrastructure and significantly low resources which deters respectful care while decreasing retention of workers. Researchers and policy-makers have addressed disrespectful care by building human resource capacity, by strengthening professional organizations and by educating midwives in low-resource countries. Furthermore, researchers encourage midwives not only to acquire attitudinal change and to adopt respectful maternity care skills, but also to emerge as leaders and change agents.Safe methods for conducting care while addressing low resources, skilled management of conflict and creative innovations to engage the community are all interventions that are being considered for quality improvement research. Tanzania is poised to evaluate the outcomes of education workshops that address all seven domains of respectful care.

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)0.013
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 score0.029
Threshold uncertainty score0.097

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.013
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0140.020
Science and technology studies0.0020.002
Scholarly communication0.0030.003
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0290.003

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 head0.090
GPT teacher head0.441
Teacher spread0.350 · 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

Citations9
Published2018
Admission routes2
Has abstractyes

Explore more

Same venueReproductive HealthSame topicGlobal Maternal and Child HealthFrench-language works237,207