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A Comparative Case Study: Exploring Health System Governance in Canada and Saudi Arabia

2024· article· en· W7036535454 sur OpenAlexaboutno aff

Notice bibliographique

RevueScholarship@Western (Western University) · 2024
Typearticle
Langueen
DomaineAgricultural and Biological Sciences
ThématiqueMediterranean and Iberian flora and fauna
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésCorporate governanceGovernment (linguistics)Population healthPublic healthHealth policyComparative casePopulationWork (physics)Language change
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Health systems and health system outcomes are incredibly complex. To understand how they function, researchers explore individual components of the system, in the study herein the component is ‘governance’. Research to date has demonstrated a positive relationship between governance and population health outcomes. Governance, therefore, may be a concept that assists in understanding differential health outcomes of seemingly comparable countries. This study aims to explore macro-level governance, particularly the two sub-concepts of ‘government effectiveness’ and ‘perceived corruption’, in two countries: Saudi Arabia and Canada. Government effectiveness reflects the quality of public health policy development and implementation, and how much the government adheres to these policies. These comparator countries are selected as they share similarities on three levels, economy, population size, and free basic healthcare; yet differ significantly in governance models. A case study methodology as described by Stake (1995), guided this study. This study is particularly a comparative case study design with a focus on qualitative data. The data will be used to understand in-depth nuances of governance in health systems. Two overarching questions guided this study, one for each of the sub-concepts: 1) How the government effectiveness process, in terms of health policy development and implementation, unfolds within the health system in Saudi Arabia and Canada. 2) How corruption, as an aspect of governance, is present within health systems. This work is framed within a critical theoretical perspective. Concerns about good governance and corruption that guide this work is to the purpose of seeking the best health outcomes for all people. Governance as a whole, and sub-concepts of government effectiveness and corruption, are all amenable to change and improvement. To engage with system complexity, multiple data sources were utilized within this case study. Primary data consisted of interviewing 32 participants (15 in Canada and 17 in Saudi Arabia) who work in the health system in service provision, research, policy, management, or education. Secondary data included government documents about health system structure and strategies at the macro level. Data collection was conducted through two phases. Phase one of data collection involved in-depth interviews with experts across the health systems. The interviews were conducted in both English and Arabic. Documents for analysis were collected and accessed through official websites of governments or Ministries of health, and healthcare organizations, and scientific databases. These documents were analyzed via Critical Discourse Analysis (CDA) as outlined by Van Dijk (1993) and Mullet (2018). The findings are divided into three foci as three chapters: 1) a methodological piece on conducting bilingual research; 2) the nature of government effectiveness; and 3) the nature of corruption in health systems. Conducting research in a language not spoken by all the research team members is relatively common, yet addressing the nuanced details of implementing bilingual work has limited guidance within extant literature. This includes consideration of promising practices for concept development, translation, data analysis, and presenting the findings. This chapter is an exploration of the strengths and limitations of doing bilingual research, and recommendations regarding these aforementioned issues from our own experiences. Ultimately, it is proposed that via bilingual research, the accumulation of knowledge pertaining to qualitative research concepts, translation, analysis, and dissemination of comprehensive frameworks can be enacted, ultimately enhancing the rigour of qualitative research and increasing confidence in applying knowledge created in the chosen language of participants. Findings on government effectiveness in health systems in both Canada and Saudi Arabia are presented in four themes. These four themes are: 1) Health is Political, 2) Health System Privatization, 3) An Outdated System vs. A System that is Catching Up, and 4) Social Determinants of Health (SDoH) and Cross-Sectoral Collaboration. Recommendations are provided on how to better identify elements of government effectiveness and integrate them with the SDoH in order to enhance system effectiveness and improve the health of populations. For the chapter on corruption, it is noted that Governance is a complex theoretical concept that includes the sub-concept of ‘corruption’. A very ‘loaded’ term, this study sought to understand how corruption is present in health systems, often in very subtle ways. Findings illustrate how corruption is still a relevant concept in advanced health systems and can include both subtle and even overt forms within Canadian and Saudi health systems. This is explained in three themes: 1) Corruption in Wealthy Nations: Subtle Opportunism; 2) Nepotism and Professional Courtesy; and 3) A Strict System vs A Relaxed System. This analysis uncovers nuanced forms of potential personal gain within Canadian and Saudi health systems that make the concept of corruption still a timely concern. Addressing these risks must be seen as a collective obligation, where healthcare providers identify and report cases of potential corruption, managers prevent and address opportunities for personal gain, and researchers study how to develop policies and processes that are most immune to corruption. Ultimately, this study continues to unpack the complex ways that health systems are actualized, looking particularly at the concept of governance, and selected sub-concepts of government effectiveness and corruption.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,004
score de la tête « metaresearch » (Gemma)0,006
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Qualitatif · Signal consensuel: Qualitatif
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,923
Score d'incertitude au seuil0,559

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0040,006
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0030,005
Études des sciences et des technologies0,0180,006
Communication savante0,0040,001
Science ouverte0,0020,004
Intégrité de la recherche0,0020,002
Charge utile insuffisante (le modèle a refusé de juger)0,0030,000

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.

Tête enseignante Opus0,192
Tête enseignante GPT0,299
Écart entre enseignants0,108 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeQualitatif
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2024
Routes d'admission1
Résumé présentoui

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