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Midwife led maternity care: Assessment of autonomy and dignity of mothers during labour using MOR index

2023· article· en· W4387144031 on OpenAlexaboutno aff
S Sivapriya, Sudha Raddi

Bibliographic record

VenueInternational Journal of Obstetrics and Gynaecological Nursing · 2023
Typearticle
Languageen
FieldMedicine
TopicGlobal Maternal and Child Health
Canadian institutionsnot available
Fundersnot available
KeywordsDignityAutonomyNursingPopulationMedicineIndex (typography)Care workPsychologyFamily medicinePolitical scienceEnvironmental healthWork (physics)

Abstract

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Midwifery led care can play a critical role in promoting physiological births, and reducing over medicalization. Ministry and Indian Nursing council have brought out guidelines for Midwifery services. Midwife led care is paradigm shift which can address many of the issues that our country continue to face. Measuring respectful care over the childbearing cycle requires thoughtful assessment of several domains. The Mother on Respect index is a straightforward tool to measure the experience of respect during discussions with providers about maternity care options. Mother on Respect Index (MOR) was developed through participatory research process and has been administered to women in Canada and US and is a reliable and valid measure of respectful maternity care. Aim: To conduct a pilot study to assess Mother on Respect Index as a tool to measure autonomy and dignity of care perceived by mothers during labour.Objectives: To assess the autonomy and dignity of maternal care perceived by mothers during labour using Mother on Respect Index To find the association of MOR index with sociodemographic and baseline variablesHypothesis: There is no association of MOR index with selected sociodemographic and baseline variables.Research MethodologyResearch approach: Quantitative Non ExperimentalResearch Design: Cross Sectional Survey DesignTarget Population: Antenatal women of Western MaharashtraStudy population: Antenatal women attending selected tertiary care hospital in Western MaharashtraSampling Technique: Purposive SamplingSample Size: 200Tool: Mother on Respect IndexResult: 18 study subjects reported medium level of satisfaction between 37-60. Maximum 182 (91%) study subjects reported high level of satisfaction in Midwife Led Maternity Care. No association of Mother on respect index score with gravida, parity in study group at p value 0.05.There is no aassociation of Mother on respect index score with age, education, type of family, pregnancy status in study group at p value 0.05. There is a moderate positive correlation between total duration of labour and Mother on respect index score but the finding is not statistically significant as the p value calculated is 0.63. A moderate positive correlation between Modified Coopland Risk Assessment score as calculated p value <0.0001 this finding is statistically highly significant. Number of antenatal visit has shown a week positive correlation with Mother on Respect index as p value is 0.20 this finding is not statistically significant. Conclusion: The MOR index may assist institutions and care providers to evaluate the psychosocial impact of informed consent process and patient perceptions of the respect. MORi can measure differences between their expected and actual interactions during maternity care discussions with providers. Evidence based practice of MOR index as new quality and safety indicator in maternity care centre indicate paradigm shift towards person centred care.

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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)0.001
metaresearch head score (Gemma)0.005
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
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 head0.024
GPT teacher head0.347
Teacher spread0.323 · 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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Citations0
Published2023
Admission routes1
Has abstractyes

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