. 2023 Jun 19;6:e42274. doi: 10.2196/42274

Table 2.

Characteristics of included studies (n=14).

Author (year), country	Study design^a	Dashboard type	Platform	Software used	Focus^b	Study setting						System users
						HC^c	R^d	LTC^e	O^f		Sample size, n			Age (years), mean (SD)		Sex (female), %
Algilani et al [22] (2016), Sweden	MM	Clinical	ICT^g application	In-house	Health status	✓
										Older adults: 8			77.6 (—^h)		60
											Nurses:3			—		100
Bail et al [33] (2022), Australia	Qual	Clinical	ICT application	Humanetix	Administrative, health status			✓			Staff: 65			—		—
Bell et al [32] (2020), USA	Quant	Clinical	Web-based	Unclear	Medication and prescribing practices		✓	✓	✓ⁱ
											Older adults: 112			83^j (—)		0
											Physician: 6			—		—
											Nurse: 1			—		—
Cui et al [34] (2018), China	Quant	Clinical prototype	Mobile app	Unclear	Administrative, health status			✓	✓^k		Nurses: 18			—		100
Dowding et al [30] (2018), USA	Quant	Clinical prototype	Paper-based	In-house	Administrative, health status	✓					Nurses: 195			49 (11)		89.7
Dowding et al [31] (2018), USA	MM	Clinical prototype	Computer	Morae software (Techsmith)	Health status	✓					Nurses: 292			—		—
Dowding et al [26] (2019), USA	MM	Clinical prototype	Web-based	Morae software (Techsmith)	Health status	✓					Nurses: 32			51^l (10)		91
Kramer et al [20] (2016), USA	Quant	Clinical simulation	Computer	In-house	Medication and prescribing practices	✓					Physicians: 19			39.8 (6.1)		57.9
Lanzarone et al [27] (2017), Italy	MM	Administrative	DiamondTouch table	Geodan	Administrative	✓					Staff/other^m			—		—
Lee and Huebner [17] (2017), USA	MM	Clinical prototype	Computer	MS Excel	Administrative, health status	✓					Nurse: 14			—		—
Mei et al [23] (2013), USA	MM	Clinical	Computer	MS InfoPath, Sharepoint	Adverse events			✓			Nurse: 4			—		—
Papaioannou et al [35] (2010), Canada	MM	Clinical, MEDeINRⁿ	Web-based	In-house	Medication and prescribing practices			✓
											Older adults: 128			85.9 (8)		75
											Physician: 4			—		—
											Nurse: 8			—		—
Shiells et al [19] (2020), Belgium, Czech Republic, and Spain	Qual	EHR^o	Computer, tablet	Unclear	Administrative, health status			✓			Staff (21)^k			—		90.5
Wild et al [18] (2021), USA	MM	Clinical, ambient	Web-based	ZigBee	Administrative	✓
											Older adults: 95			86.4 (7.4)		80
											Staff: 25			—		—

^aStudy design (MM: mixed methods; Quant: Quantitative; Qual: Qualitative).

^bFocus of dashboard (Health status: vital signs, physiological, and functional status, eg, weight, blood pressure; Medication and prescribing practices: medication discrepancies, appropriate prescribing practices; administrative includes care pathways and changes to services/care an older adult is receiving; Falls refers to the incidence of older adult falls).

^cHC: home or community care. Refers to in-home care, domiciliary care, community care, and social care provided within the home in which the older adult is living compared to care provided in group accommodation, clinics, and nursing homes, and also 3 independent living retirement communities.

^dR: respite care. Refers to planned or unplanned short-term care for older adults to provide a temporary break for caregivers.

^eLTC: long-term care. Refers to those in residential aged care, nursing homes, or long-term care facilities who provide permanent accommodation for those who require consistent and ongoing services to assist with activities of daily living.

^fO: other.

^gICT: information and communication technology.

^hNot available.

ⁱRefers to short stay/transitional care and palliative care.

^jOnly at-risk older adults receiving care (n=21) data were reported.

^kRefers to a community hospital.

^lAge reported for usability component only.

^mIncluding home care planners, experts, and nonexperts of home care providers. Sample size is not provided.

ⁿMEDeINR: an electronic decision support system based on a validated algorithm for warfarin dosing.

^oEHR: electronic health record.