Included studies (n = 30) n (%) | References | |
---|---|---|
Characteristics of participants, where reported in studies | ||
Median no. of participants | 2579 | |
Median % male | 65 | |
Median age of participants | 43.7 | |
Year of study | ||
2010 – 2012 | 3 (10.0) | |
2013 – 2014 | 3 (10.0) | |
2015 – 2016 | 2 (7.0) | |
2017 – 2018 | 4 (14.0) | |
2019 – 2020 | 10 (33.0) | |
2021 | 8 (28.0) | |
Country | ||
United States | 14 (47.0) | |
United Kingdom | 3 (10.0) | |
Canada | 7 (23.0) | |
Australia | 2 (7.0) | |
Denmark | 2 (7.0) | |
Ireland | 2 (7.0) | |
Time horizon | ||
1 year or less | 7 (23.0) | |
2—3 years | 5 (17.0) | |
4—5 years | 8 (27.0) | |
5 + years | 10 (33.0) | |
Focus area | ||
Mortality, morbidity and COVID-19 | 7 (23.3) | |
Healthcare utilisation | 12 (40.0) | |
Care home admission and shelter usage | 3 (10.0) | |
Hospital re-admission | 6 (20.0) | |
Other (employment rates and police crime victimisation) | 2 (6.7) | |
Number of linked data sources used | ||
Less than 2 | 17 (57.0) | |
3 to 5 | 10 (33.0) | |
Greater than 5 | 3 (10.0) | |
Data linkage method | ||
Deterministic linkage (using an unique identifier, such as a social security number) | 22 (73.0) | [25,26,27,28, 31, 32, 34,35,36,37,38, 40,41,42,43,44,45, 47, 49,50,51] |
Fuzzy / Probabilistic linkage (linking by people's names etc.) | 4 (13.0) | |
Deterministic and Probabilistic | 4 (13.0) | |
Software | ||
SPSS | 5 (17.0) | |
STATA | 3 (10.0) | |
R | 2 (7.0) | |
SAS | 13 (43.0) | |
Stata and R | 1 (3.0) | [43] |
SPSS and Stata | 1 (3.0) | [49] |
SAS and R | 1 (3.0) | [39] |
Not reported | 4 (13.0) | |
Source of funding | ||
Public grants (including government) | 20 (67.0) | |
University grants | 2 (7.0) | |
not stated | 8 (27.0) |