Integrated primary health care in low- and middle-income countries: a double challenge
Bibliographic record
Abstract
BACKGROUND: The lack of primary healthcare integration has been identified as one of the main limits to programs' efficacy in low- and middle-income countries. This is especially relevant to the Millennium Development Goals, whose health objectives were not attained in many countries at their term in 2015. While global health scholars and decision-makers are unanimous in calling for integration, the objective here is to go further and contribute to its promotion by presenting two of the most important challenges to be met for its achievement: 1) developing a "crosswise approach" to implementation that is operational and effective; and 2) creating synergy between national programs and interventions driven by non-State actors. MAIN BODY: The argument for urgently addressing this double challenge is illustrated by drawing on observations made and lessons learned during a four-year research project (2011-2014) evaluating the effects of interventions against malaria in Burkina Faso. The way interventions were framed was mostly vertical, leaving little room for local adaptation. In addition, many non-governmental organizations intervened and contributed to a fragmented and heteronomous health governance system. Important ethical issues stem from how interventions against malaria were shaped and implemented in Burkina Faso. To further explore this issue, a scoping literature review was conducted in August 2016 on the theme of integrated primary healthcare. It revealed that no clear definition of the concept has been advanced or endorsed thus far. We call for caution in conceptualizing it as a simple juxtaposition of different tasks or missions at the primary care level. It is time to go beyond the debate around selective versus comprehensive approaches or fragmentation versus cohesion. Integration should be thought of as a process to reconcile these tensions. CONCLUSIONS: In the context that characterizes many low- and middle-income countries today, better aid coordination and public health systems strengthening, as promoted by multisectoral approaches, might be among the best options to sustainably and ethically integrate primary healthcare interventions.
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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 | 0.058 | 0.047 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.007 | 0.013 |
| Scholarly communication | 0.015 | 0.015 |
| Open science | 0.003 | 0.022 |
| Research integrity | 0.008 | 0.008 |
| 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".