A health equity research agenda for India: results of a consultative exercise
Bibliographic record
Abstract
BACKGROUND: This paper describes the process and outcome of a consultative exercise undertaken to develop a medium-term agenda for the next decade, and to identify a short list of immediate priorities for health equity research in India. This exercise was undertaken over 2014-2017 as part of 'Closing the Gap: Health Equity Research Initiative in India', implemented by the Achutha Menon Centre for Health Science Studies, at the Sree Chitra Tirunal Institute of Medical Sciences and Technology, Trivandrum, in south India. METHODS: We adopted a five-step process for the agenda- and priority-setting exercise. The first step, which lasted for approximately 1 year, consisted of a synthesis of evidence on health inequities in India produced during 2000-2014 and identification of gaps. In the second step, we shared the evidence gaps identified and engaged with diverse stakeholders to develop the research agenda through face-to-face and online consultations. In step three, we consolidated the research agenda and identified continuing gaps. Key informant consultations by phone or email with experts in the areas where gaps were identified constituted the fourth step. In the fifth and final step, we organised an expert group consultation to review the agenda and identify immediate research priorities through a consensus process. Overall, approximately 220 persons participated in the entire process, and consisted of persons from diverse disciplines and sectors. RESULTS: The research agenda and immediate priorities that emerged may be categorised into four themes, namely (1) descriptive research on the extent, nature and time trends in health inequities; (2) explanatory research on the pathways through which health inequities are created, and the political or policy environment that facilitates the process; (3) explanatory research that examines how health systems facilitate or mitigate inequities in healthcare; and (4) intervention research on initiatives that helped to mitigate health inequities, and examines the contributing factors. CONCLUSION: The strength of this research agenda is that it was developed through a broad-based consultation with stakeholders representing diverse disciplines, sectors and constituencies. The use of this agenda will help generate evidence that will facilitate India moving closer to the Sustainable Development Goal of leaving no one behind.
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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 | 0.026 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".