Reliability and validity of an innovative high performing healthcare system assessment tool
Notice bibliographique
Résumé
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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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,020 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,001 | 0,002 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».