Observational studyThe Indian journal of medical research2018
Labour & delivery monitoring patterns in facility births across five districts of India: A cross-sectional observational study.
Observational study in The Indian journal of medical research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
7 citing papers in PubMed.
- Development of a novel labour monitoring tool: Improving labour care quality in the Indian setting.Journal of family medicine and primary care · 2024Article
- Respectful Maternity Care Practices During Normal Delivery at the Public Health Facilities in Tamil Nadu, Southern India: A Descriptive Study.Maternal and child health journal · 2023Article
- Review
- Labor augmentation with oxytocin in low- and lower-middle-income countries: a systematic review and meta-analysis.AJOG global reports · 2022Review
- Association between timing and type of postnatal care provided with neonatal mortality: A large scale study from India.PloS one · 2022Article
- Effectiveness and Safety of Camylofin in Augmentation of Labor: A Systematic Review and Meta-Analysis.Journal of obstetrics and gynaecology of India · 2020Review
- Intrapartum monitoring using partograph at secondary level public health facilities-A cross-sectional study in Odisha, India.Journal of family medicine and primary care · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
BACKGROUND &
objectivesIndia has recorded a marked increase in facility births due to government's conditional cash benefit scheme initiated in 2005. However, concerns have been raised regarding the need for improvement in the quality of care at facilities. Here we report the monitoring patterns during labour and delivery documented by direct observation in reference to the government's evidence-based guidelines on skilled birth attendance in five districts of India.
methodsA cross-sectional study design with multistage sampling was used for observation of labour and delivery processes of low-risk women with singleton pregnancy in five districts of the country. Trained research staff recorded the findings on pre-tested case record sheets.
resultsA total of 1479 women were observed during active first stage of labour and delivery in 55 facilities. The overall frequency of monitoring of temperature, pulse and blood pressure was low at all facilities. The frequency of monitoring uterine contractions and foetal heart sounds was less than the expected norm, while the frequency of vaginal examinations was high at all levels of facilities. Partograph plotting was done in only 15.8 per cent deliveries, and labour was augmented in about half of the cases. INTERPRETATION &
conclusionsThe findings of our study point towards a need for improvement in monitoring of maternal and foetal parameters during labour and delivery in facility births and to improve adherence to government guidelines for skilled birth attendance.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.