• Matthew Grant, Everlien de Graaf, and Saskia Teunissen.
• Centre of Expertise Palliative Care Utrecht, Julius Centre for Health Sciences and Primary Care, University Medical Centre, Utrecht, the Netherlands.
• Palliat Med. 2021 Apr 1; 35 (4): 636-650.

BackgroundProviding the right care for each individual patient is a key element of quality palliative care. Complexity is a relatively new concept, defined as the nature of patients' situations and the extent of resulting needs. Classifying patients according to the complexity of their care needs can guide integration of services, anticipatory discussions, health service planning, resource management and determination of needs for specialist or general palliative care. However, there is no consistent approach to interpreting and classifying complexity of patient needs.AimThe aim of this article is to identify and describe classification systems for complexity of patient care needs in palliative care.DesignNarrative systematic review (PROSPERO registration number CRD42020182102).Data SourcesMEDLINE, Embase, CINAHL and PsychINFO databases were searched without time limitations. Articles were included that described classification systems for complexity of care requirements in populations with palliative care needs.ResultsIn total, 4301 records were screened, with nine articles identified reporting the use of patient classification systems in populations with palliative care needs. These articles included the use of six classification systems: HexCom, Perroca Scale, AN-SNAP, Hui Major Criteria, IDC-Pal and PALCOM. These systems were heterogenous in the manner they determined complexity of care needs. The HexCom and IDC-Pal systems contained items that covered all domains of complexity as described by Hodiamont; personal, social support, health care team and environment.ConclusionAlthough six classification systems have been developed, they access differing aspects of care needs and their application has been limited. The HexCOM and IDC-Pal systems offer the broadest determinations of complexity from an individual perspective. Further research is needed to apply these systems to populations external to those in which they were developed, and to appreciate how they may integrate with, and impact, clinical care.

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