34 research outputs found
Implementation of palliative care consult Service in Hungary
__Background:__ The Palliative Care Consult Service (PCCS) programme was among the first initiations in Hungary to provide palliative care for patients admitted to hospital. The PCCS team provides palliative care for mainly cancer patients and their family members and manages the patient pathway after being discharged from the hospital. The service started in 2014 with 300-400 patient visits per year. The aim of this study is to give a comprehensive overview of the PCCS programme guided by a conceptual framework designed by SELFIE ("Sustainable intEgrated chronic care modeLs for multi-morbidity: delivery, FInancing, and performancE"), a Horizon2020 funded EU project and to identify the facilitators and barriers to its wider implementation.
__Methods:__ PCCS has been selected by the SELFIE consortium for in-depth evaluation as one of the Hungarian integrated care models for persons with multi-morbidity. The qualitative analysis of the PCCS programme was based on available documents of the care provider and interviews with different stakeholders related to the programme.
__Results:__ The integrated, multidisciplinary and patient-centred approach was well-received among the patients, family members and clinical departments, as verified by the increasing number of requests for consultations. As a result of the patient pathway management across providers (e.g. from inpatient care to homecare) a higher level of coordination could be achieved in the continuity of care for seriously-ill patients. The regulatory framework has only partially been established, policies to integrate care across organizations and sectors and adequate financial mechanism to support the enhancement and sustainability of the PCCS are still missing.
__Conclusions:__ The service integration of palliative car
The patient at the centre: evidence from 17 European integrated care programmes for persons with complex needs
Background: As the prevalence of multi-morbidity increases in ageing societies, health and social care systems face the challenge of providing adequate care to persons with complex needs. Approaches that integrate care across sectors and disciplines have been increasingly developed and implemented in European countries in order to tackle this challenge. The aim of the article is to identify success factors and crucial elements in the process of integrated care delivery for persons with complex needs as seen from the practical perspective of the involved stakeholders (patients, professionals, informal caregivers, managers, initiators, payers). Methods: Seventeen integrated care programmes for persons with complex needs in 8 European countries were investigated using a qualitative approach, namely thick description, based on semi-structured interviews and document analysis. In total, 233 face-to-face interviews were conducted with stakeholders of the programmes between March and September 2016. Meta-analysis of the individual thick description reports was performed with a focus on the process of care delivery. Results: Four categories that emerged from the overarching analysis are discussed in the article: (1) a holistic view of the patient, considering both mental health and the social situation in addition to physical health, (2) continuity of care in the form of single contact points, alignment of services and good relationships between patients and professionals, (3) relationships between professionals built on trust and facilitated by continuous communication, and (4) patient involvement in goal-setting and decision-making, allowing patients to adapt to reorganised service delivery. Conclusions: We were able to identify several key aspects for a well-functioning integrated care process for complex patients and how these are put into actual practice. The article sets itself apart from the existing literature by specifically focussing on the growing share of the population with complex care needs and by providing an analysis of actual processes and interpersonal relationships that shape integrated care in practice, incorporating evidence from a variety of programmes in several countries
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Consolidated Health Economic Evaluation Reporting Standards for Interventions That Use Artificial Intelligence (CHEERS-AI)
Objectives: Economic evaluations (EEs) are commonly used by decision makers to understand the value of health interventions. The Consolidated Health Economic Evaluation Reporting Standards (CHEERS 2022) provide reporting guidelines for EEs. Healthcare systems will increasingly see new interventions that use artificial intelligence (AI) to perform their function. We developed Consolidated Health Economic Evaluation Reporting Standards for Interventions that use AI (CHEERS-AI) to ensure EEs of AI-based health interventions are reported in a transparent and reproducible manner.
Methods: Potential CHEERS-AI reporting items were informed by 2 published systematic literature reviews of EEs and a contemporary update. A Delphi study was conducted using 3 survey rounds to elicit multidisciplinary expert views on 26 potential items, through a 9-point Likert rating scale and qualitative comments. An online consensus meeting was held to finalize outstanding reporting items. A digital health patient group reviewed the final checklist from a patient perspective.
Results: A total of 58 participants responded to survey round 1, 42, and 31 of whom responded to rounds 2 and 3, respectively. Nine participants joined the consensus meeting. Ultimately, 38 reporting items were included in CHEERS-AI. They comprised the 28 original CHEERS 2022 items, plus 10 new AI-specific reporting items. Additionally, 8 of the original CHEERS 2022 items were elaborated on to ensure AI-specific nuance is reported.
Conclusions: CHEERS-AI should be used when reporting an EE of an intervention that uses AI to perform its function. CHEERS-AI will help decision makers and reviewers to understand important AI-specific details of an intervention, and any implications for the EE methods used and cost-effectiveness conclusions