Expenditure tracking and review of reproductive maternal, newborn and child health policy in Pakistan
Bibliographic record
Abstract
Since 2001 substantial resources have been allocated to the reproductive, maternal, newborn and child health sector (RMNCH) in Pakistan. Many new programmes have been started and coverage of some existing programmes has been extended to un-served and rural areas. Despite these efforts the Millennium Development Goals (MDGs) 4 and 5 were not achieved (2000-15). Maternal Mortality Ratio was reduced to 170 per 100 000 live births (target 100) by 2013 at an annual reduction rate of 3.6% (1990-2013). Against the target of 46 per 1000 live births, the Under Five Mortality Rate was reduced to 81 per 1000 live births by 2015 at an annual reduction rate of 2.1% (1990-2015). We evaluated the comparative expenditures for the RMNCH sector and analysed impact of public expenditures on the use of the public facilities for the RMNCH services. Expenditure on RMNCH increased by 181% (2000-10), reaching PKR 628.79 billion (US$9.67 billion). The Share of the RMNCH expenditure in the total health expenditure increased from 16 to 21% (2005-10). The share of official development assistance for the RMNCH increased from 36 to 51% (2003-10). Equity was modestly achieved with a greater proportion of the poor using public facilities for the childhood diarrhoea (Concentration Index -0.06 in 2001-02 to - 0.11 in 2010-11) and reduction in the proportion of the rich using the public health facilities for institutional births (Concentration Index 0.30 in 2001-02 to 0.25 in 2010-11). Overall the RMNCH disease control programmes focused on vertical primary health approach and targeted the district health system in the un-served areas. Our findings confirm that diseconomies of scale, donor dependence and supply side perspective could only result in a modest progress towards achieving the MDGs. We call for urgent attention of the policy makers for the integration of the vertical and the routine primary health care and reliance on indigenous sustainable healthcare financing. We also recommend acknowledging economic perspective on health policy and health programmes.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".