Exploring the effectiveness of a screening measure to identify subtle cognitive and functional problems in a sample of acquired brain injury patients admitted to a neurological hospital in the UK: A feasibility study

Figures & data

Table 1. Inclusion and exclusion criteria

Inclusion Criteria	Exclusion Criteria
Aged between 18–90 years old	A diagnosis of brain tumour
Diagnosis of ABI to include traumatic brain injury and haemorrhagic stroke	A diagnosis of brain infection to include brain abscess and encephalitis
A reported GCS of 15	A diagnosis of hydrocephalus
Independently mobile on the ward	A pre-existing diagnosis of dementia or already known to a memory clinic
Reported to be able to attend to their own personal care to include washing/dressing/toileting without assistance from nursing staff	English not first language

Table 2. Demographics

Variable	Levels	Number of patients	% of Patients
Gender	Male Female	22 12	64.7 35.3
Age	20–29 30–39 40–49 50–59 60–69 70–79 80+	3 3 6 12 3 4 3	8.9 8.9 16.7 35.2 8.9 11.8 8.9
Age of leaving Education	<16 16–18 >18	11 18 4	33.3 54.5 12.1
Diagnosis	TBI: SDH TSAH Stroke: SAH ICH	12 10 2 22 20 2	35.3 (83.3) (16.7) 64.7 (90.9) (9.1)

SDH: Subdural Haematoma, TSAH: Traumatic SAH, ICH: Intracerebral Haemorrhage

Table 3. Descriptive analysis of the data

Descriptive Statistics
	n	Minimum	Maximum	Mean	Std. Deviation
CFPM	34	15.0	30.0	26.147	3.1347
CFPM A	34	13.0	24.0	21.206	2.5320
CFPM B	34	2.0	6.0	4.824	1.2424
MoCA	34	16.0	30.0	25.529	3.3866
Kettle	34	.0	10.0	2.765	2.1750
Valid N (listwise)	33

MoCA = Maximum score 30. Kettle Test = Scored out of 52 the higher the score the greater the impairment.

Figure 1. Correlational relationship between the CFPM and MoCA.