MétaCan
Menu
Back to cohort
Record W3174475530 · doi:10.22605/rrh6510

Factors influencing antenatal care attendance for Bakiga and Indigenous Batwa women in Kanungu District, Southwestern Uganda

2021· article· en· W3174475530 on OpenAlex
Vivienne Steele, Kaitlin Patterson, Lea Berrang‐Ford, Nia King, Manisha A. Kulkarni, Didacus B. Namanya, Charity Kesande, Batwa Communities, Sabastian Twesigomwe, Grace Asaasira, Sherilee L. Harper

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueRural and Remote Health · 2021
Typearticle
Languageen
FieldMedicine
TopicGlobal Maternal and Child Health
Canadian institutionsUniversity of OttawaThe King's UniversityQueen's UniversityUniversity of AlbertaUniversity of Guelph
FundersCanadian Institutes of Health Research
KeywordsAttendanceMedicineIndigenousThematic analysisDescriptive statisticsFocus groupDeveloping countryFamily medicineHealth careDemographyNursingQualitative research

Abstract

fetched live from OpenAlex

INTRODUCTION: The number of maternal deaths remains high in sub-Saharan Africa. Effective antenatal care (ANC) reduces maternal morbidity and mortality; therefore, provision of improved antenatal care services has been prioritised across sub-Saharan Africa. Yet, research is limited on the ANC experiences of Indigenous women in sub-Saharan Africa. This study characterised ANC attendance patterns at a hospital, and characterised factors influencing attendance among Bakiga and Indigenous Batwa women in Kanungu District, Uganda. METHODS: A community-based, mixed-methods approach was used. Quantitative data were collected from a local hospital (records for 2299 ANC visits) and analysed by using descriptive statistics and multivariable regression analysis. Qualitative data from eight key informant interviews (n=9 healthcare providers) and 16 focus group discussions (n=120 Batwa and Bakiga women) were analysed by thematic analysis. RESULTS: Most ANC patients attended between one and three ANC visits per pregnancy (n=1259; 92.57%), and few attended the recommended four or more visits (n=101; 7.43%). Distance from a woman's home to the hospital was significantly associated with lower ANC attendance (p<0.05, 95% confidence interval 0.01-0.96), after adjusting for maternal age and number of previous pregnancies. The qualitative data revealed that many factors influenced ANC attendance for both Batwa and Bakiga: long distances from the home to a health centre, high direct and indirect costs of ANC, lack of power in household decision-making, and poor interactions with healthcare providers. While the types of barriers were similar among Batwa and Bakiga, some were more pronounced for Indigenous Batwa women. CONCLUSION: This study partnered with and collected in-depth data with Indigenous Peoples who remain underrepresented in the literature. The findings indicated that Indigenous Batwa continue to face unique and more pronounced barriers to accessing ANC in Kanungu District, Uganda. Ensuring access to ANC for these populations requires an in-depth understanding of their experiences within the local healthcare context. To reduce health inequities that Indigenous Peoples experience, policy-makers and healthcare workers need to adequately understand, effectively address, and appropriately prioritise factors influencing ANC attendance.

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.

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 score0.084
Threshold uncertainty score0.554

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 head0.013
GPT teacher head0.276
Teacher spread0.264 · 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