MétaCan
Menu
Back to cohort
Record W2526121651 · doi:10.1186/s12978-016-0219-8

Community health worker knowledge and management of pre-eclampsia in rural Karnataka State, India

2016· article· en· W2526121651 on OpenAlexafffund
Umesh Y Ramadurg, Marianne Vidler, Umesh Charanthimath, Geetanjali Katageri, Mrutyunjaya B. Bellad, Ashalata Mallapur, Shivaprasad S. Goudar, Shashidhar G Bannale, Chandrashekhar Karadiguddi, Diane Sawchuck, Rahat Qureshi, Peter von Dadelszen, Richard J. Derman

Bibliographic record

VenueReproductive Health · 2016
Typearticle
Languageen
FieldMedicine
TopicGlobal Maternal and Child Health
Canadian institutionsIsland HealthChild and Family Research InstituteUniversity of British Columbia
FundersUniversity of British ColumbiaBill and Melinda Gates Foundation
KeywordsFocus groupNursingThematic analysisMedicineHealth careReproductive medicineCompetence (human resources)Public healthQualitative researchFamily medicineCommunity healthPsychologyPregnancy

Abstract

fetched live from OpenAlex

In India, the hypertensive disorders of pregnancy and postpartum haemorrhage are responsible for nearly 40 % of all maternal deaths. Most of these deaths occur in primary health settings which frequently lack essential equipment and medication, are understaffed, and have limited or no access to specialist care. Community health care workers are regarded as essential providers of basic maternity care; and the quality of care they provide is dependent on the level of knowledge and skills they possess. However, there is limited research regarding their ability to manage pregnancy complications. This study aims to describe the current state of knowledge regarding pre-eclampsia and eclampsia among community health care workers (auxiliary nurse midwives, accredited social health activists, staff nurses) in northern Karnataka, India. Furthermore, this study describes the treatment approaches used by various cadres of community health workers for these conditions. The findings of this study can help plan focussed training sessions to build upon their strengths and to address the identified gaps. Data were collected as part of a larger study aimed at assessing the feasibility of community-based treatment for pre-eclampsia. Eight focus group discussions were conducted in 2012–2013 in northern Karnataka State: four with staff nurses and auxiliary nurse midwives and four with accredited social health activists. In addition, twelve auxiliary nurse midwives and staff nurses completed questionnaires to explore their competence and self-efficacy in managing pre-eclampsia. Qualitative data were audio-recorded, transcribed verbatim and translated for thematic analysis using NVivo 10. Community health workers described their understanding of the origins of hypertension and seizures in pregnancy. Psychological explanations of hypertension were most commonly reported: stress, tension, and fear. The most common explanation for eclampsia was not receiving a tetanus vaccination. Despite some common misperceptions regarding aetiology, these community health workers demonstrated a good grasp of the potential consequences of hypertension in pregnancy. According to auxiliary nurse midwives and staff nurses, if hypertension was detected they encouraged rest, decreased salt intake, iron supplementation and tetanus vaccination. In addition, some staff nurses administered antihypertensives, MgSO4, or other anticonvulsants. All auxiliary nurse midwives had some awareness of MgSO4, but none had administered it themselves. This study showed that knowledge regarding the aetiology of pre-eclampsia was limited. Nevertheless, their basic knowledge and skills could be strengthened to more effectively manage the hypertensive disorders of pregnancy in their communities. NCT01911494

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)0.001
metaresearch head score (Gemma)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.100
Threshold uncertainty score0.199

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.021
GPT teacher head0.339
Teacher spread0.318 · 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".

Quick stats

Citations37
Published2016
Admission routes2
Has abstractyes

Explore more

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