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Enregistrement W7000709719

Gastos com medicamentos distribuídos em Atenção Primária de Saúde em Fortaleza- Ce e co-fatores influentes do ano de 2007

2012· article· en· W7000709719 sur OpenAlexaboutno aff

Notice bibliographique

RevueAmericanae (AECID Library) · 2012
Typearticle
Langueen
DomaineSocial Sciences
ThématiquePublic Health in Brazil
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésPer capitaEquity (law)Investment (military)Health careDescriptive statisticsPopulationConsumption (sociology)Distribution (mathematics)Quarter (Canadian coin)Work (physics)Defined daily dose
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

The increased investment in the acquisition of drugs have shown significant improvements in health indicators and in the Pharmaceutical Assistance (P.A.). Addressing the needs of the population and ensure access to medicines with equity and efficiency has been a major challenge for health authorities. This work started from the need for a diagnosis of resource allocation for P.A. in the administrative areas of Fortaleza and its Health Units (H.U). This is a retrospective analysis of the database with features of ecological and descriptive study where we examined the secondary data acquisition and distribution of drugs between January - December 2007, the H.U. operating in the municipality. The main goal was to determine the distribution of drug costs in Primary Health Care (PHC) in Fortaleza, Brazil between the H.U. and its regional and analyze the associated factors. To this end, characterized the cost of medication by number of patients in each H.U., it was classified according to ATC and scaled up consumption in DDD have been correlated with the characteristics of the service by examining the Pearson correlation test and t - student to identify co-influencing factors. Total expenditure on essential drugs was estimated at R$9.29 million and the per capita expenditure of R$3.82 and spending per patient from R$2,41. The period of the year that more was spent on drugs was in the 2nd quarter (28,36%) and 9,57% in April and 10,46% in June. The region had the highest spending was the Region II (R$ 2.216.886,94) that has a high Human Development Index (HDI). The average cost per patient was highest in Region V (R$2.82) which is concentrated the population with lower income and low HDI. The therapeutic classes with the highest representation were systemic antibiotics (18,8% of total spending, represented mainly by beta-lactam antibiotics, penicillins), followed by antidiabetics (9.4% oral hypoglycemic agents) and with antihypertensive action on the renin-angiotensin (8,6% and 8,2% only with captopril). The most frequently consumed drugs were: captopril (17,2 DDDs / 1,000 patients seen per day), hydrochlorothiazide (11,9) and aspirin (7,9). The Antiasthmatic represented the most expensive (unit price R$20,66 for Beclometasone 250mcg, R$18,36 Beclomethasone 50mcg and Salbutamol 100mg R$8.57) though the relationship cost / DDD were the most costly: Fenoterol 0.5% (R$11,88), penicillin 600.000 UI (R$6.59) and norethisterone 0.35 mg (R$5,03). The quality of P.A. showed no statistically significant association with the cost of medication, but had an inverse correlation (r = -0,110) with a tendency to reduce spending, the presence of the Pharmacist in the H.U. showed a significant positive correlation with the quality of P.A. (p -value = 0,014) and has an economic impact in spending on drugs with potential savings of R$ 0,32 on average per patient. We conclude that despite the efforts of decentralization still there is inequity in the tip of the Public Health System, which in the upper middle class there was a higher resource allocation relating to medicinal products and in the poorest regions of the city with the highest volume of patients served. Per capita spending on essential drugs in PHC Fortaleza and spending per patient are not consistent with the values agreed upon by management levels (R$6.20). It is recommended that the presence of the Pharmacist in the H.U. aimed at rationalizing spending and consumption of drugs contributing to P.A. quality and efficient in Fortaleza.

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)0,001
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,206
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

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

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 Opus0,016
Tête enseignante GPT0,324
Écart entre enseignants0,308 · 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.

Devis d'étudeObservationnel
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
Publié2012
Routes d'admission1
Résumé présentoui

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