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Enregistrement W3135940231 · doi:10.4103/ijc.ijc_1347_20

Advances in palliative care in 2020: Palliative care and oncology in India - Looking ahead from 2020

2021· article· en· W3135940231 sur OpenAlexaboutno aff
Vidya Viswanath, Seema Rajesh Rao

Notice bibliographique

RevueIndian Journal of Cancer · 2021
Typearticle
Langueen
DomaineMedicine
ThématiquePalliative Care and End-of-Life Issues
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésPalliative careMedicineNursingOncology

Résumé

récupéré en direct d'OpenAlex

The papers in this perspective were selected by the authors as they discussed the relevance of palliative care and highlighted the importance of integrative practice with oncology among papers published in 2020. “Some say that palliative care is the best kept secret in healthcare”. This is the first line in the foreword of the Global Atlas of Palliative Care 2020-2ND edition by the Director General World Health Organization (WHO). This atlas is a source of essential information on the status of palliative care (PC) worldwide, and surveys PC needs based on the concept of serious health-related suffering (SHS) across age groups and disease types. It maps PC development in different countries, reviews models of care delivery across different resource settings, and identifies the barriers of care provision; thus serving as a contemporary baseline.[1] The Global Atlas reveals that over 56.8 million people are in need of PC worldwide. Adults over 50 years account for 67.1%, with children accounting for 7.1%. Among the adults, the largest single disease group needing PC is cancer (28.2%). Among children, cancer accounts for 4.1% of PC needs. Across resource settings, 76% adults and >97% children (0-19 years) are from the low and middle income countries (LMIC). Regional distribution shows that 17.1% adults and 19.5% children needing PC are from the South East Asian Region (SEAR). SHS amenable to PC interventions is expected to increase by 87% by 2060.[1] PC development follows the WHO public health model emphasizing policy, education, medication availability, and implementation laws that acknowledge and define that PC is part of the healthcare system.[1] There are only 55 countries in the world with a national strategy or plan for PC.[2] At the highest level, PC provision is available for only 14% of the global population and is concentrated in European countries.[1] Within Europe, there is a significant increase in specialist palliative care services, but this is in Western Europe and the high-income group region.[3] Approximately 84.25% of the world's population lack adequate access to opioid medications for pain control. Australia, Canada, New Zealand, the United States, and several European countries account for more than 90% of the global consumption of opioid analgesics, while LMICs, comprising 88% of the global population, consume only 10% of global opioids.[4] India is among the 37 countries that are just making progress towards a national strategy for PC.[2] India is mapped at level 3a (level 1––no known PC activity to 4b––advance PC integration) where palliative care provision is isolated, activism is patchy, sources of funding are donor dependent, availability of morphine and the number of palliative care services in relation to the population is limited.[5] In PC provision, lack of clear policies, education, research, medication, and resources coexist with distinct psychosocial and cultural barriers due to the fears associated with death and dying.[1] Compounding the problem is the confusion associated with terminology and referral patterns to palliative care. From the modern hospice movement in the 1960s, PC has transitioned into a medical discipline, which is now a global priority. The evolving definitions, euphemistic terminology, upstream migration from end-of-life care to early palliative care, and the multidisciplinary approach has blurred boundaries and caused uncertainty within and between specialities in medicine.[6] Though PC has a positive effect on quality of life and medical costs,[7] it is an end speciality and physician views play a key role in triggering PC referrals and impacting care provision. A recent globally highlighted systematic review explores how the oncologists' views impact referral to PC. Reluctance to refer to PC was triggered by the oncologist's inability to accept therapeutic failure and by the negative connotation that arises out of PC being associated with death and dying. For the oncologist, referral to PC symbolizes loss of hope and a breakdown of a long-standing therapeutic relationship. Along with lack of trust in the competence of the PC provider, these factors act as major barriers for successful integration of PC.[8] A survey of oncologists' views in China cited lack of knowledge regarding PC among oncologists in the developing world as a major factor that impedes referral. The inequitable distribution of power, with oncologists acting as gatekeepers for referral to PC, and their view of PC as a service to be offered only after cessation of cancer-directed therapy has further hindered referral to palliative care.[9] The sociocultural milieu, families' and patients' expectations and healthcare beliefs discourage discussion of death and dying and preclude healthcare providers', families', and patients' transition into PC.[10] In addition, organizational barriers, lack of legislative policies and legal guidelines, along with limited palliative care resources are major obstacles for PC referral.[8910] These obstacles though formidable, are not insurmountable. Majority of the oncologists' perceived PC to be beneficial to the patients and their families and have advocated for its integration into cancer care.[8] Salins et al. in their systematic review espouse co-management between PC and oncology teams as a way out of this conundrum.[8] This would involve transfer of knowledge and skills between the two teams, focused inter-team communication, and the development of standardized care pathways aligned to the context of care. In addition, enhancing awareness regarding PC through training, legislative policies to support PC programs, and a legal framework to guide medical care and end-of-life-care (EOLC) decisions will facilitate better PC provision.[8910] These nuances of integrative practice are pertinent as India is working towards widening education and research in PC across the country and stepping up policies. The International Quality Improvement collaborative-Enable Quality, Improve Patient care––India (EQuIP-India) has been integrated into the National Cancer Grid (NCG) paving the way for collaborative research and scaling up evidence-based practice in PC.[11] Sustained, collective work by the Indian Association of Palliative Care, Indian Society for Critical Care Medicine, and the Indian Academy of Neurology[12] has resulted in the drafting of the DNAR––Do Not Attempt Resuscitation by the Indian Council of Medical Research in 2020.[13] This position paper guides physicians in making decisions on whether or not to perform cardio-pulmonary resuscitation (CPR) in terminally-ill patients. Some private and public institutions (Kasturba Medical College Manipal, All India Institute of Medical Sciences Delhi)[12] have developed practical procedural guidelines on limiting life sustaining treatment and providing EOLC for patients with terminal illness where continuing aggressive invasive interventions was considered futile. The state of Kerala in its government order has laid down guidelines for brain death declaration and listed the standard clinical procedures to be followed while withdrawing life-support in the event of brain death[1214] Quality EOLC has also been mandated by the National Accreditation Board for Hospitals and Healthcare. The way forward would be to integrate with all specialities, not just oncology, to strengthen and expand the existing framework and complement services. Then PC could step up from being a secret in healthcare to becoming the secret of better healthcare! Peer-review: This article was peer-reviewed by an external referee. Financial support and sponsorship Nil. Conflicts of interest There are no conflicts of interest.

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)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut 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 enseignants0,185
Score d'incertitude au seuil0,985

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,001
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
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 Opus0,042
Tête enseignante GPT0,425
Écart entre enseignants0,383 · 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'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

Citations7
Publié2021
Routes d'admission1
Résumé présentoui

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