Reliability and validity of an innovative high performing healthcare system assessment tool
Bibliographic record
Abstract
Abstract Background Universal Health coverage (UHC) is the mantra of the twenty-first century yet knowing when it has been achieved or how to best influence its progression remains elusive. An innovative framework for High Performing Healthcare (HPHC) attempts to address these issues. It focuses on measuring four constructs of Accountable, Affordable, Accessible, and Reliable (AAAR) healthcare that contribute to better health outcomes and impact. The HPHC tool collects information on the perceived functionality of health system processes and provides real-time data analysis on the AAAR constructs, and on processes for health system resilience, responsiveness, and quality, that include roles of community, private sector, as well as both demand, and supply factors affecting health system performance. The tool attempts to capture the multidimensionality of UHC measurement and evidence that links health system strengthening activities to outcomes. This paper provides evidence on the reliability and validity of the tool. Methods Internet survey with non-probability sampling was used for testing reliability and validity of the HPHC tool. The volunteers were recruited using international networks and listservs. Two hundred and thirteen people from public, private, civil society and international organizations volunteered from 35 low-and-middle-income countries. Analyses involved testing reliability and validity and validation from other international sources of information as well as applicability in different setting and contexts. Results The HPHC tool’s AAAR constructs, and their sub-domains showed high internal consistency (Cronbach alpha >.80) and construct validity. The tool scores normal distribution displayed variations among respondents. In addition, the tool demonstrated its precision and relevance in different contexts/countries. The triangulation of HPHC findings with other international data sources further confirmed the tool’s validity. Conclusions Besides being reliable and valid, the HPHC tool adds value to the state of health system measurement by focusing on linkages between AAAR processes and health outcomes. It ensures that health system stakeholders take responsibility and are accountable for better system performance, and the community is empowered to participate in decision-making process. The HPHC tool collects and analyzes data in real time with minimum costs, supports monitoring, and promotes adaptive management, policy, and program development for better health outcomes.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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) | 0.026 | 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".