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Stakeholder consensus of quality indicators for end-of-life cancer care in Malaysia: a modified Delphi study
Wen Jun Wong1, Wen Yea Hwong2,3, Cindy Cy Oun Teoh4
1Centre for Clinical Epidemiology, Institute for Clinical Research, National Institutes of Health, Ministry of Health, No. 1, Jalan Setia Murni U13/52, Setia Alam, Shah Alam, Selangor, 40170, Malaysia. wwjun@crc.moh.gov.my.
Background:
End-of-life care is an essential component of cancer care. Good end-of-life care improves quality of life for the dying individuals and their loved ones. This study aimed to compile a list of quality indicators (QIs) endorsed by experts, for assessing the quality of end-of-life care for cancer patients in Malaysia.
Methods:
Eligible QIs were first identified through a scoping review, which formed the basis for a five-round online modified Delphi survey that was undertaken to reach expert panel agreement. Firstly, the relevance of each QI was rated by a panel comprising healthcare professionals (HCPs) in oncology and palliative care, caregivers, and patient advocates using a 9-point Likert scale. Secondly, the feasibility of extracting these indicators from medical charts was evaluated using the same rating scale; this was assessed only by HCPs due to their familiarity with the documentation practices. QIs with a median score ≥ 7 and with ≥ 75% of rating ≥ 7 were considered endorsed.
Results:
Of the 47 experts invited, 39 participated (response rate 83.0%): 31 HCPs, five caregivers and three patient advocates. From an initial list of 64 indicators, 31 were endorsed across 10 domains, including measures related to: symptom management such as pain, dyspnoea, and other physical symptoms (e.g., assessment of delirium and agitation) (n = 11/64); psychological and social aspects of care (e.g., depression assessment) (n = 2/64), treatment modalities (e.g., antiemetics for chemotherapy) (n = 1/64); hospital and community palliative care services (e.g., home care visits) (n = 5/64); advanced care planning (e.g., resuscitation preference) (n = 2/64); continuity and coordination of care (e.g., multidisciplinary team consultation) (n = 5/64); place of death and care (e.g., preferred place of death) (n = 4/64); and medications for respiratory secretion (n = 1/64). Some unendorsed indicators included those from the domains of hospitalisation (e.g., intensive care unit admission) (n = 3/64) and spiritual care (e.g., spiritual needs assessment) (n = 2/64).
Conclusions:
A comprehensive set of 31 indicators was identified. These QIs can be used for evaluating the quality of end-of-life care received by cancer patients and serve as a foundation for future quality improvement initiatives. Further studies are needed to validate these QIs in real-world clinical practice and assess the feasibility and reliability of extracting these indicators from medical charts.
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