ASSESSING SYSTEM PERFORMANCE OF MATERNAL AND CHILD HEALTH CARE DURING COVID-19 PANDEMIC IN COMMUNITY HEALTH CENTER- COMORO DILI TIMOR-LESTE
Bibliographic record
Abstract
ABSTRACT Purpose/ Introduction Recent Evidences reveal that COVID-19 pandemic caused MCH services interruption world-wide. In Timor-Leste, MCH services is one of service priorities and delivers through 3 tiers of health structures consists of hospitals, CHCs, and HPs. The Country (Timor-Leste) identified its first case of COVID-19 in March and by April 2020, it was lockdown and stringent actions were enforced. During the pandemic COVID-19, the MOH health structures and facilities continued delivers essential health services. However, the strict lockdown and mandatory stay home order had negatively impacted the health system capacities. This study to thoroughly assess the disruption of System Components of MCH Services by interviewed frontline HCWs from Comoro -CHC, in Dili-Timor-Leste. Patients and Methods The cross-sectional approach with quantitative descriptive method was employed for this study. We employed a modified who six building blocks (service delivery, human resources, drugs and consumables, ICT, Financing, Stewardship) to assess system disruption of MCH services in Comoro CHC due to COVID-19 Pandemic. Sample of 99 participants consisted of medical doctors, midwives, nurses who work at MCH unit pharmacy technicians, unit laboratory technicians, a structured questionnaire was utilized and data analysis was used SPSS. Result The findings reveal the disruption of all 6 system blocks from MCH services in Comoro-CHC, Dili, Timor-Leste due to COVID-19 Pandemic. Except leadership, statistical tests reveal statistically significant association between interruption of five blocks from MCH services. The service delivery, human resources, drugs and consumables, ICT, Financing, Stewardship. Conclusion COVID-19 Pandemic Caused disruption of all six health system blocks of MCH Services in Comoro, CHC. For future pandemic preparation plan, the attention must be given to all six-health system blocks to guarantee continue delivery of MCH care in CHC Comoro, Dili, Timor-Leste and a primary health care facility and other similar settings.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".