Potential for task-sharing to Lady Health Workers for identification and emergency management of pre-eclampsia at community level in Pakistan
Bibliographic record
Abstract
BACKGROUND: An estimated 276 Pakistani women die for every 100,000 live births; with eclampsia accounting for about 10 % of these deaths. Community health workers contribute to the existing health system in Pakistan under the banner of the Lady Health Worker (LHW) Programme and are responsible to provide a comprehensive package of antenatal services. However, there is a need to increase focus on early identification and prompt diagnosis of pre-eclampsia in community settings, since women with mild pre-eclampsia often present without symptoms. This study aims to explore the potential for task-sharing to LHWs for the community-level management of pre-eclampsia and eclampsia in Pakistan. METHODS: A qualitative exploratory study was undertaken February-July 2012 in two districts, Hyderabad and Matiari, in the southern province of Sindh, Pakistan. Altogether 33 focus group discussions (FGDs) were conducted and the LHW curriculum and training materials were also reviewed. The data was audio-recorded, then transcribed verbatim for thematic analysis using QSR NVivo-version10. RESULTS: Findings from the review of the LHW curriculum and training program describe that in the existing community delivery system, LHWs are responsible for identification of pregnant women, screening women for danger signs and referrals for antenatal care. They are the first point of contact for women in pregnancy and provide nutritional counselling along with distribution of iron and folic acid supplements. Findings from FGDs suggest that LHWs do not carry a blood pressure device or antihypertensive medications; they refer to the nearest public facility in the event of a pregnancy complication. Currently, they provide tetanus toxoid in pregnancy. The health advice provided by lady health workers is highly valued and accepted by pregnant women and their families. Many Supervisors of LHWs recognized the need for increased training regarding pre-eclampsia and eclampsia, with a focus on identifying women at high risk. The entire budget of the existing lady health worker Programme is provided by the Government of Pakistan, indicating a strong support by policy makers and the government for the tasks undertaken by these providers. CONCLUSION: There is a potential for training and task-sharing to LHWs for providing comprehensive antenatal care; specifically for the identification and management of pre-eclampsia in Pakistan. However, the implementation needs to be combined with appropriate training, equipment availability and supervision. TRIAL REGISTRATION: ClinicalTrial.gov, NCT01911494.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.008 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.004 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".