How older adults with mild cognitive impairment relate to technology as part of present and future everyday life: a qualitative study

Table 1 Demographic data and information on current diagnostic and cognitive state, activity involvement, and everyday technology use, including retrospective changes

Aliases in order of sampling	Gender	Age	Marital status	Current vocational activity	Profession	Diagnosis (time with current)	MMSE^a, (change score^d)	FAI^b, (change score^d)	ETUQ items used^c, n (change score^d)	GDS^g (score)
Albert	Male	86	Widower	Retired	Farmer	AD^e (6 months)	24 (−2)	22 (+2)	26 (±0)	2
Brita	Female	78	Married	Retired	Economist	MCI (5 years)	26^f (−4)	22 (−13)	28 (–34)	3
Caesar	Male	78	Married	Retired	Engineer	MCI (4 years)	28 (−2)	30 (−2)	56 (−12)	2
David	Male	74	Married	Retired	Engineer	MCI (5 ½ years)	28 (±0)	26 (−2)	59 (+5)	2
Eric	Male	61	Married	Full-time sickness benefits	Social worker	MCI (5 ½ years)	29 (−1)	27 (−10)	64 (+10)	8
Frida	Female	63	Single	Half-time working, half-time sickness benefits	All-around job in a catering business	No known cognitive impairment (3 ½ years)	29 (±0)	35 (+2)	56 (+1)	4

Notes:
^aMini-Mental State Examination has possible scores between 0–30. Higher score indicates better cognitive status [39]
^bFrenchay Activities Index has a scale ranging from 0–45. Higher score indicates more active lifestyle [40]
^cIndicates how many of the 92 items in the Everyday Technology Use Questionnaire [3] have been used in the past 12 months
^dChange scores refer to differences from baseline in retrospective 5-year data, except for Albert and Caesar where 4-year data is provided
^eAlzheimer’s disease
^fCould not complete the 1-point drawing task in MMSE due to severe hand tremors
^gGeriatric Depression Scale has a possible total score between 0–20. A score exceeding five indicates possible depression [41]

ISSN: 1471-2318