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Enregistrement W4307628799 · doi:10.1101/2022.10.27.22281514

Do National Health Insurance Schemes Guarantee Financial Risk Protection in the drive towards Universal Health Coverage in West Africa? A Systematic Review of Observational Studies

2022· review· en· W4307628799 sur OpenAlexaff
Sydney N. N. T. Odonkor, Ferdinand Koranteng, Martin Appiah-Danquah, Lorena Dini

Notice bibliographique

RevuemedRxiv · 2022
Typereview
Langueen
DomaineEconomics, Econometrics and Finance
ThématiqueHealthcare Systems and Reforms
Établissements canadiensUniversity of British Columbia
Organismes subventionnairesDeutscher Akademischer Austauschdienst
Mots-clésCINAHLChecklistObservational studyCritical appraisalMedicineMEDLINESafeguardingPopulationInclusion (mineral)Systematic reviewFamily medicineActuarial scienceBusinessEnvironmental healthPolitical sciencePsychological interventionPsychologyNursingAlternative medicine

Résumé

récupéré en direct d'OpenAlex

ABSTRACT Background To facilitate the drive towards Universal Health Coverage (UHC) several countries in the West African subregion have over the last two decades adopted the system of National Health Insurance (NHI) to finance their health services. However, most of these countries continue to face challenges safeguarding the insured population against catastrophic health expenditure (CHE) and impoverishment due to health spending. The aim of this study is to describe the extent of financial risk protection among households enrolled under NHI schemes in West Africa and summarize potential learnings. Methods We conducted a systematic review of observational studies in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Studies published in English between 2005 and 2022 were searched for using keywords, synonyms and MeSH terms related to NHI, financial risk protection and UHC in all West African countries on the following electronic databases: PubMed/Medline, Web of Science and CINAHL via EBSCOhost and Embase via Ovid and Google Scholar. The quality of included studies was assessed using the Joanna Briggs Institute (JBI) critical appraisal checklist. Two independent reviewers assessed the studies for inclusion, extracted data and conducted quality assessment. We present the findings of the narrative synthesis consisting of thematic synthesis for qualitative data and a Synthesis Without Meta-analysis (SWiM) for quantitative data. The study protocol was published in PROSPERO under the ID CRD42022338574 on 28th June 2022. Results Of the 1,279 articles initially identified, nine were eligible for inclusion. These were cross-sectional studies (n=8) and retrospective cohort study (n=1) published between 2011 and 2021 in Ghana (n=8) and Nigeria (n=1). Two-thirds of the included studies reported that enrollment into the NHI showed a positive (protective) effect on CHE at different thresholds and one study showed a protective effect of NHI on impoverishment due to health spending. However, almost all of the included studies (n=8) reported that a proportion of insured households still encountered CHE with one-third of them reporting more than 50% of insured households incurring CHE. Key determinants of CHE and impoverishment due to health spending reported consisted of income, employment and educational status of household members as well as household size, household health profile, gender of household head and distance of household from health facility. Discussion Households insured under NHI schemes in some West African countries (Ghana and Nigeria) are better protected against CHE and impoverishment due to health spending compared to uninsured households as evidenced in other studies. However, insured households continue to incur CHE and impoverishment due to health expenditure resulting from gaps identified in the current design of NHI schemes in these West African countries. Conclusion To protect insured households from the financial burden due to health spending and advance the drive towards UHC in West Africa, governments should consider investing more into research on NHI, implementing nationwide compulsory NHI programmes and establishing a multinational West African collaboration to co-design a sustainable context- specific NHI system based on solidarity, equity and fairness in financial contribution.

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 distillée sur la base complète

Imitation des enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,012
score de la tête « metaresearch » (Gemma)0,003
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Revue systématique · Signal consensuel: aucune
GenreSignal candidat: Synthèse · Signal consensuel: Synthèse
Score de désaccord entre enseignants0,507
Score d'incertitude au seuil0,994

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0120,003
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0040,000
Bibliométrie0,0010,002
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0010,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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 Opus0,241
Tête enseignante GPT0,361
Écart entre enseignants0,121 · 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 tête enseignante, pas un consensus.

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

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
Publié2022
Routes d'admission1
Résumé présentoui

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