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Identifying nursing home residents’ unmet palliative care needs

Research Project Title

Identifying nursing home residents’ unmet palliative care needs

KeyWords

Long-term care; Nursing home; Palliative care; Unmet needs

Challenge

Palliative care is firmly recognised as an essential component of care within the nursing home setting. Nursing home residents are often suited to palliative care due to the presence of life limiting/serious illnesses in combination with high mortality and complex care needs. Despite this, many residents do not receive palliative care resulting in unmet palliative care needs. At present, there is no standard approach to identifying nursing home residents unmet palliative care needs and little is known about how nursing home staff in Ireland identify such needs in practice.

Research Project aims and methods

Aim: To explore the current tools and practices for identifying nursing home residents’ unmet palliative care needs in Ireland and support the design and preliminary testing of an innovative approach using artificial intelligence (AI) to complement clinical judgement and improve initiation of timely/targeted palliative care interventions.

This research project will include a number of research activities including:

  1. Scoping review of the literature which mapped and summarised the evidence on identifying unmet palliative care needs of nursing home residents.
  2. Scoping review of the literature aimed at synthesising the evidence on Artificial Intelligence based palliative care interventions in nursing homes.
  3. An analysis of publicly available datasets to predict future nursing home needs in Ireland.
  4. Concept analysis of nursing home residents’ unmet palliative care needs.
  5. Cross-sectional survey of staff in Irish nursing homes to identify current practices for identifying residents’ palliative care needs and to determine technology readiness of nursing homes in Ireland.
  6. Observational study collecting routine resident data to inform the development of a decision support tool.
  7. Co-design with the computer science department, nursing home staff, and key stakeholders an Artificial Intelligence solution to support staff in identifying residents’ unmet palliative care needs.

Public, patient and personal involvement (PPI)

The team is currently developing public, patient and personal involvement plan with regard to the co-design phase of the project, and the update will be provided once finalised.

Key Findings & Recommendations

Study 1 Findings: The first output of the project found that different studies use a wide variety of methods, tools, and guidelines to identify unmet palliative care needs in nursing home residents, and that there is no consensus regarding the definition of ‘unmet palliative care needs’.

This study suggests that future research should aim to establish a clear definition of ‘unmet palliative care needs’ and to develop standardised, evidence‑based approaches tailored to the nursing home setting.

Study 2 Findings: This paper presents the first review to consolidate research on palliative care interventions in nursing homes. The findings of this review indicate that integrated intelligent physical systems and decision support systems have yet to be explored. A broad range of machine learning solutions remain unused within the context of nursing home palliative care. These findings are of relevance to both nurses and computer scientists, who may use this review to reflect on their own practices when developing such technology.

Study 3 Findings: In the third output of the project, the research team emphasises that the projected increase in Ireland’s population will result in a need for a significant increase in the nursing home bed capacity, and corresponding rise in trained staff. This is essential to enhance residents’ quality of life and reduce reliance on distant healthcare teams, especially in rural areas.

Ongoing at present is a concept analysis of nursing home residents’ unmet palliative care needs and a cross sectional survey of perspectives and practices regarding palliative care screening/assessment and available technology in nursing homes in Ireland.

Timeline

October 2023 – October 2026

Research Team

  • Patrice Crowley (PhD candidate), Catherine McAuley School of Nursing and Midwifery, University College Cork
  • Prof Nicola Cornally, Catherine McAuley School of Nursing and Midwifery, University College Cork
  • Dr Mohamad Saab, Catherine McAuley School of Nursing and Midwifery, University College Cork
  • Isabel Ronan (PhD candidate), School of Computer Science and Information Technology, University College Cork
  • Dr Sabin Tabirca, School of Computer Science and Information Technology, University College Cork
  • David Murphy, School of Computer Science and Information Technology, University College Cork

Collaborators

Development of the concept analysis is in collaboration with Dr Connie Cole of the University of Colorado.

Funding & Support

  • Patrice Crowley (PhD candidate) is in receipt of a PhD scholarship from the Catherine McAuley School of Nursing and Midwifery, University College Cork.
  • Isabel Ronan (PhD candidate) is in receipt of financial support from the Science Foundation Ireland under Grant number 18/CRT/6222.

Research Project Outputs:

Publications:

  • Crowley P, Saab MM, Ronan I, Tabirca S, Murphy D, Cornally N (2025) Identifying unmet palliative care needs of nursing home residents: A scoping review. PLoS ONE 20(2): e0319403. https://doi.org/10.1371/journal. pone.0319403
  • Ronan I, Tabirca S, Murphy D, Cornally N, Saab MM, Crowley P (2025) Artificially intelligent nursing homes: a scoping review of palliative care interventions. Front. Digit. Health 7. https://doi.org/10.3389/fdgth.2025.1484304
  • Ronan I, Crowley P, Cornally N, Saab MM, Murphy D, Tabirca S (2025) The Future of the Irish Nursing Home Landscape. Cureus 17(3). doi:10.7759/cureus.80605

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