Identifying patients with palliative care needs: training healthcare professionals in South India

Training HCPs in the family medicine setting to use SPICT-LIS is useful and can improve their confidence in the early identification of patients with PC needs. HCPs found SPICT-LIS a feasible tool for use in clinical practice.

Authors

Institutions

Publication Details

Journal
BMJ Supportive & Palliative Care
Published
2026-02-16
DOI
https://doi.org/10.1136/spcare-2025-005710
Primary Topic
Palliative Care and End-of-Life Issues
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Identifying patients with palliative care needs: training healthcare professionals in South India

Jyothsna Kuriakose, Kirsty Boyd, Ruby Angeline Priscilla S, Jimmy Antony et al.
BMJ Supportive & Palliative Care
Palliative Care and End-of-Life Issues
article

Identifying patients with palliative care needs: training healthcare professionals in South India

Jyothsna Kuriakose, Kirsty Boyd, Ruby Angeline Priscilla S, Jimmy Antony, Sajitha MF Rahman, Daniel Munday, Don Thomas, Jenifer Jeba Sundararaj
article en

Abstract

Training HCPs in the family medicine setting to use SPICT-LIS is useful and can improve their confidence in the early identification of patients with PC needs. HCPs found SPICT-LIS a feasible tool for use in clinical practice.

BMJ Supportive & Palliative Care
Christian Medical College, Vellore (IN), University of Edinburgh (GB)
No poverty
Openalex Percentile: Top 57%
Palliative Care and End-of-Life Issues
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.