Automatic referral to standardize palliative care access: an international Delphi survey.

Support Care Cancer

Department of Palliative Care, Rehabilitation and Integrative Medicine, Unit 1414, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX, 77030, USA.

Published: January 2018

Purpose: Palliative care referral is primarily based on clinician judgment, contributing to highly variable access. Standardized criteria to trigger automatic referral have been proposed, but it remains unclear how best to apply them in practice. We conducted a Delphi study of international experts to identify a consensus for the use of standardized criteria to trigger automatic referral.

Methods: Sixty international experts stated their level of agreement for 14 statements regarding the use of clinician-based referral and automatic referral over two Delphi rounds. A consensus was defined as an agreement of ≥70% a priori.

Results: The response rate was 59/60 (98%) for the first round and 56/60 (93%) for the second round. Twenty-six (43%), 19 (32%), and 11 (18%) respondents were from North America, Asia/Australia, and Europe, respectively. The panel reached consensus that outpatient palliative care referral should be based on both automatic referral and clinician-based referral (agreement = 86%). Only 18% felt that referral should be clinician-based alone, and only 7% agreed that referral should be based on automatic referral only. There was consensus that automatic referral criteria may increase the number of referrals (agreement = 98%), facilitate earlier palliative care access, and help administrators to set benchmarks for quality improvement (agreement = 86%).

Conclusions: Our panelists favored the combination of automatic referral to augment clinician-based referral. This integrated referral framework may inform policy and program development.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5705294PMC
http://dx.doi.org/10.1007/s00520-017-3830-5DOI Listing

Publication Analysis

Top Keywords

automatic referral
28
palliative care
16
referral
14
referral based
12
clinician-based referral
12
automatic
8
care access
8
care referral
8
standardized criteria
8
criteria trigger
8

Similar Publications

Objectives: To describe the prevalence and characteristics of preferred skilled nursing facility (SNF) networks established by Medicare accountable care organizations (ACOs).

Study Design: Cross-sectional analysis of a 2019 Medicare ACO survey.

Methods: We analyzed surveys from 138 Medicare ACOs to assess preferred SNF network prevalence, characteristics, and challenges.

View Article and Find Full Text PDF

Design and implementation of a radiomic-driven intelligent dental hospital diversion system utilizing multilabel imaging data.

J Transl Med

December 2024

Department of Oral Maxillofacial Surgery, School and Hospital of Stomatology, Wenzhou Medical University, Wenzhou, 325000, Zhejiang, P.R. China.

Background: With the increasing burden of dental diseases and the limited availability of healthcare resources, traditional triage methods are inadequate in efficiently utilizing healthcare resources and meeting patient needs. The aim of this study is to develop an advanced triage system that combines oral radiomics and biological multi-omics data, which enables accurate departmental referral of patients by automatically interpreting biological information in oral X-ray images.

Methods: Using a multi-label learning algorithm, we analyzed multi-omics data from 3,942 patients with oral diseases from three cohorts between July 1, 2023 and August 18, 2023, and continuously monitored classification accuracy (ACC) metrics.

View Article and Find Full Text PDF

Importance: Mechanical power (MP) could serve as a valuable parameter in clinical practice to estimate the likelihood of adverse outcomes. However, the safety thresholds for MP in mechanical ventilation remain underexplored and contentious.

Objectives: This study aims to investigate the association between MP and hospital mortality across varying degrees of lung disease severity, classified by Pao2/Fio2 ratios.

View Article and Find Full Text PDF

Background: Pulmonary hypertension (PH) is a pathophysiological problem that may involve several clinical symptoms and be linked to various respiratory and cardiovascular illnesses. Its diagnosis is made invasively by Right Cardiac Catheterization (RHC), which is difficult to perform routinely. Aim of the current study was to develop a Machine Learning (ML) algorithm based on the analysis of anamnestic data to predict the presence of an invasively measured PH.

View Article and Find Full Text PDF

Purpose: Long-term psychological effects may occur after childhood dog bite injuries. We performed a national survey to assess psychosocial interventions for children presenting with dog bite injuries to pediatric trauma centers.

Methods: A 26-question, online survey was administered to Pediatric Trauma Program Managers in the United States ( = 83).

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!