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A mixed-methods evaluation of novel services for vulnerable patient groups in Ireland

2021· dissertation· en· W7049116070 sur OpenAlexaboutno aff

Notice bibliographique

RevueCork Open Research Archive (University College Cork, Ireland) · 2021
Typedissertation
Langueen
DomainePhysics and Astronomy
ThématiqueCrystallography and Radiation Phenomena
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésHealth carePsychological interventionActivity-based costingThematic analysisGovernment (linguistics)PopulationHealth economicsPopulation healthQuality (philosophy)Quarter (Canadian coin)
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Introduction: Rising healthcare costs present a challenge to healthcare 
\nsystems around the world. In Ireland, healthcare spending accounts for greater 
\nthan a quarter of government expenditure. Cancer patients and older persons 
\nare two patient population groups that account for a large portion of healthcare 
\nutilisation and both groups are continuously increasing in number. Safe, cost-
\neffective innovations are needed to provide care for these population groups 
\nwhile maintaining an adequate level of spending. This thesis sought to 
\nevaluate novel interventions that target cancer patients and older persons in 
\nIreland, assessing both cost and quality of the interventions.
\n
\nMethods: This thesis examined the cost and quality of the introduction of the 
\nnovel services in Cancer and Older Person services i.e. Community Oncology 
\nNursing Programme in the West of Ireland, the monitoring of oral anti-cancer 
\ntherapies (OATs) nationally and the Optimising thERapy to prevent avoidable 
\nhospital Admissions in Multi-morbid older people (OPERAM) trial in Cork. 
\nThese interventions were chosen as examples of recent innovations in the 
\ncare of vulnerable, costly patient groups. Diverse local, regional and national 
\nIrish healthcare settings were evaluated, using a mix of economic evaluation 
\nand qualitative principles, as part of this thesis. Methodologies such as 
\nliterature reviews, economic evaluations (cost-effectiveness analysis and cost 
\ncomparison analysis), and qualitative analysis (using the thematic analysis) 
\nhelped provide evidence and inform the recommendations.
\n
\nResults: The full service pathway of cancer care provision in the hospital and 
\ncommunity settings were mapped at a high-level. This was the first step of a Time-Driven Activity-Based Costing (TDABC) model of cost evaluation. Both 
\ninternal and external evaluation of the service was carried out. Inefficiencies 
\nwere noted in the process flow, although these were unable to be addressed 
\ndue to financial and time restraints.
\nThe cost of providing cancer care in the community, that being in primary care 
\ncentres or the patient’s own home, were compared to providing the same care 
\nin an oncology day ward. Both the Irish health payer and societal perspectives 
\nwere evaluated. From the healthcare provider perspective, the day-ward was 
\na significantly cheaper option by an average of €17.13 per patient (95% CI 
\n€13.72 - €20.54, p<0.001). From the societal perspective, the community 
\noption was cheaper by an average of €2.77 per patient (95% CI -€3.02 –
\n€8.55), although this was statistically a non-significant finding. Sensitivity 
\nanalyses indicate that the community service model may be significantly 
\ncheaper from the societal perspective.
\nSemi-structured interviews with patients, community and hospital nurses 
\ninvolved in cancer care in the West of Ireland were analysed using thematic 
\nanalysis. Four themes of improved patient experience, nurse-patient 
\nrelationship, the importance of location and roadblocks to further 
\nimplementation of the programme emerged. All interviewees expressed their 
\nbelief that the introduction of the programme was a positive for patients.
\nThe cost and qualitative impact of the monitoring of OATs was assessed. The 
\nmedian consultation time was 33 minutes, costing an average of €22.10 per 
\nconsultation, using Clinical Nurse Specialist salary figures and €26.51 per 
\nconsultation, using Advanced Nurse Practitioner salary figures. The associated patient cost was €14.06 using the Human Capital method to 
\ncalculate costs incurred from lost work productivity. Themes of the effect of 
\nCovid-19 on the service, expanding and complicated care package 
\nrequirements, the need for dedicated oral clinics and the future of the service 
\nemerged from the interview data. 
\nCare of the older person in Ireland also equates to a significant cost to the Irish 
\nHealthcare system. A clinical decision support system, used to apply the 
\nSTOPP/START version 2 criteria to older persons in hospital across Europe, 
\nwas assessed for cost-effectiveness. The data within this thesis analysed the 
\ncost-effectiveness and costs of the Irish data using simple difference and 
\nSeemingly Unrelated REGression (SUREG) models. The intervention showed 
\nno significant improvement in quality of life. By simple difference, the average 
\ndifference in total costs was €757 per participant in favour of the intervention 
\ngroup, this was not a significant finding (p=0.790). In the SUREG model the 
\nintervention showed a cost saving of €1477 per participant, not a significant 
\ndifference. (p=0.341).
\n
\nConclusion: The novel findings of this thesis offer insight into the 
\neffectiveness of the services and the potential for alternative methods of care 
\ndelivery to be incorporated into national policy. The Irish healthcare system is 
\nin the midst of a reformation as part of the Sláintecare strategy, and the 
\nfindings of this thesis are supportive of its drive towards a shift to primary care. 
\nThe findings of this thesis provide specific information for policy makers on the 
\nexamined interventions, and provides a roadmap for future research of novel 
\nevaluations targeting the vulnerable population groups assessed here.

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)0,004
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Qualitatif · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,471
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0040,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0010,002
Études des sciences et des technologies0,0010,000
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 Opus0,056
Tête enseignante GPT0,355
Écart entre enseignants0,300 · 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'étudeQualitatif
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
Publié2021
Routes d'admission1
Résumé présentoui

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