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Enregistrement W1966404802 · doi:10.1111/ajr.12095

Population, projections and rural heath

2014· editorial· en· W1966404802 sur OpenAlexaboutno aff
David Perkins

Notice bibliographique

RevueAustralian Journal of Rural Health · 2014
Typeeditorial
Langueen
DomaineDecision Sciences
Thématiquedemographic modeling and climate adaptation
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésLife expectancyPopulationQuarter (Canadian coin)Population projectionGeographyFertilityProjections of population growthPopulation growthDemographySocioeconomicsDemographic economicsEconomic growthSociologyEconomics

Résumé

récupéré en direct d'OpenAlex

On 26th November the Australian Bureau of Statistics (ABS) published its population projections from the base year 2012 to 2101.1 Perhaps they chose this date to stall those mind-numbing conversations about when a new century begins. The ABS presented three scenarios for low, medium and high growth based on different assumptions about fertility, life expectancy and migration all of which are subject to a range of human, social, economic and environmental uncertainties. The ABS headlines were based on the medium growth scenario (projection B). By 2040, when the current cohorts of health students are in mid-career, Perth will have overtaken Brisbane in the population stakes with 3 million people and the Australian Capital Territory will have more people than Tasmania unless Treasurer Joe Hockey is more successful than his predecessors in cutting the public service. In 2053 Melbourne and Sydney will have 7.9 million people each if the projection holds. By this time the number of people aged over 65, with or without superannuation, is expected to double from 3.2 to 6.8 million and those aged over 85 are expected to triple to1.2 million and make up 4% of the population. In areas other than capital cities, fertility is assumed to be higher and mortality similar. About a quarter of the population will be living outside capital cities in the middle of this century. Rural health is defined by an interest in place and is not the chief focus of this analysis by the ABS city dwellers. One reason for this assumption is the less than flattering use of the phrase “balance of state” to refer to that part of the state other than the capital city. Nevertheless, these projections raise a number of interesting questions for those of us living in or with an interest in rural Australia. We could start by asking where these will people live and follow up by inquiring who will care for them. Will we still be using the same service models in 2040 in which we wait for people to develop symptoms and then muster the forces of specialist and curative medicine to heal them? How will our life expectancy change and in particular our disability-free life expectancy? Will we see an increase in retirement age or the age at which superannuation pensions become available? How will our population age-structure change and what will be the ratio of working to dependent populations? One last question, will our actions to address diet, exercise and broader health literacy make any difference? The ABS projections raise an important and longstanding challenge about the relationship between public or population health and curative health and related services. There may be more information by the time this editorial is published but we are awaiting further news about the federal government's intentions for Medicare Locals and particularly their role in rural communities. They have completed needs analysis studies of their populations, developed new services to fill some of the gaps identified, and are acting as a significant service provider in many rural communities. Some observers suggest that an incremental approach is likely which might include a change of name. Recent announcements of closures in manufacturing and concerns about budget shortfalls suggest that new funds will be in short supply. A more radical approach would be to clarify the roles and responsibilities for rural population health and the contributions of primary care, community health and institutional services. Population health expertise is located in state health services and Medicare Locals but is it sufficient, does it work collaboratively and can it influence the pattern of services delivered by private providers, the public sector, voluntary organizations and other arms of government such as education, housing and employment services? Population projections are accompanied with considerable uncertainty but even conservative estimates are cause for some concern. In the Australian Journal of Rural Health we regularly publish research and evaluation studies about new services or responses to emerging health problems. Publications that focus on future scenarios raise two further questions: can we scale up the many small, local and effective innovations that are taking place and if we do will such developments meet the needs generated by population growth and changes in population structure in rural Australia.

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)0,007
score de la tête « metaresearch » (Gemma)0,002
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Éditorial · Signal consensuel: Éditorial
Score de désaccord entre enseignants0,276
Score d'incertitude au seuil0,856

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0070,002
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0010,001
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 Opus0,082
Tête enseignante GPT0,432
Écart entre enseignants0,350 · 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'étudeSans objet
Domainenon disponible
GenreÉditorial

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

En bref

Citations1
Publié2014
Routes d'admission1
Résumé présentoui

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