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Enregistrement W2601644227

Needs Assessment of Medical Care for Rural Jamaicans That Require Assistance from Short-Term Medical Missions

2013· article· en· W2601644227 sur OpenAlexaboutno aff
Marko M. Popovic, Milos Prica, Milan Minic, Beatrice Steele, Edward A. Chow, Jelena Popović

Notice bibliographique

RevueInternational public health journal · 2013
Typearticle
Langueen
DomaineMedicine
ThématiqueGlobal Health and Surgery
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMedicineHealth carePopulationMedical emergencyFamily medicineNursingBusinessEnvironmental healthEconomic growth
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

IntroductionShort Term Medical Missions (STMMs) are defined as by a group of physicians to a foreign country for the purpose of making a special study or of undertaking a special study of a short-tenn (1). This broad definition encompasses a wide range of services, ranging from surgical missions providing craniofacial reconstruction or cataract extraction (2,3) to medical and/or pediatric missions providing care for acute illness and chronic disease (4). STMMs have been hugely successful in delivering greatly needed medical care to much of the developing world. Annually, there are approximately 6000 STMMs sent out from the United States alone, totaling an annual expenditure of around $250 million (5). They appeal to physicians and other medical professionals due to their unique combination of philanthropy and direct approach to patient care (6). Missions differ widely in size (2 to 90 health care providers per mission) (7), budget (from a few hundred dollars to $39 million in annual expenses) (8) , duration (from 2 days to several months in length) (9) , and logistical detail.Although STMMs have good intentions, there are sometimes issues that arise with the practical implementation of STMMs; these may include thepaucity of follow-up data, inadequate relations with the local health care system, and lack of sustainability (5). In order for these problems to be addressed more successfully, a collection of relevant literature concerning the medical of the typical population cared for by STMMs in the country of focus is needed. Without proper research beforehand, issues of efficacy, quality control, and impact may be easily overlooked (5).Jamaica is a nation of approximately 2.6 million people of which a sizeable minority (14.8%) lives in poverty (10).The unemployment rate in Jamaica (12.9%) is relatively high, and the country has a considerable debt-to-GDP ratio of 120% (10). Jamaica has a public and free health care system. Even though each year the Government of Jamaica invests millions of dollars into health care, many rural Jamaicans may feel that they either don't have the funds or the time to travel to regional health centers, which are often a number of kilometers away. Thus, there is a great need for STMMs to help with overcoming the vast medical of the rural population. In order for STMMs to be efficient and focused in their execution, they must have a sound understanding of the medical of the rural population being cared for.Unfortunately, to date, there has been a lack of published information in this field. Prior to the creation of this study, a literature search using PubMed (1947 to 2010) and PubMed Central (1947 to 2010) was conducted. The search terms Jamaica, short term medical mission, and needs assessment were used to elicit relevant literature. Studies were deemed relevant if they tried to comprehensively outline the medical of the rural population in Jamaica. No relevant studies were found. Therefore, to date, this is the first study that aims to offer a collection of statistics concerning the medical of a sample of rural Jamaicans being cared for by a STMM.MethodsWe participated in a STMM with Crystal Mission International (CMI) to Jamaica from July 1st-July 8th, 2011. CMI is a privately owned charitable organization based in Toronto, Canada that is funded exclusively by private donations. Our STMM team consisted of a variety of physicians, nurses, medical students, and volunteers.The medications that were brought to Jamaica included the Physician Travel Pack as outlined by Health Partners International of Canada, as well as a charitable pharmaceutical donation from Teva Canada. The STMM was fully approved by the Jamaican Ministry of Health.To the rural population, our mission was advertised towards a pediatric population; however, with the help of local health authorities, our scope of work was extended to adults as well. …

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)0,002
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: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,054
Score d'incertitude au seuil0,107

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0020,006
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0030,003
Études des sciences et des technologies0,0010,000
Communication savante0,0010,001
Science ouverte0,0010,002
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0050,000

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 Opus0,068
Tête enseignante GPT0,426
Écart entre enseignants0,358 · 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'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
Publié2013
Routes d'admission1
Résumé présentoui

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