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Table 5 Overview of approaches used to analyse data, the journal and source of funding

From: Vaccine preferences driving vaccine-decision making of different target groups: a systematic review of choice-based experiments

Aspect Specification Number of studies (%)a
Econometric model Subgroup analysis Multinomial logit 12 (28.6)
Generalized linear random effects logit 1 (2.4)
Hierarchical Bayes 6 (14.3)
Latent class 4 (9.5)
Random effects logit 6 (14.3)
Mixed logit (random parameter) 21 (50.0)
Other 5 (11.9)
Methodology related 29 (69.0)
Previous experiences 5 (11.9)
Sociodemographic factor(s) 32 (76.2)
Vaccine beliefs/perception/knowledge 13 (31.0)
Vaccine intention or behaviour 6 (14.3)
Vaccination or health status 5 (11.9)
Other 5 (11.9)
Outcome measure Individual utility scores 3 (7.1)
Odds ratio, change in log-odds 8 (19.0)
Relative attribute importance 10 (23.8)
Marginal rate of substitution (trade-off) 8 (19.0)
Vaccine uptake/probability analysis 18 (42.9)
WTP 19 (45.2)
Other 4 (9.5)
Analysis software JMP Pro 2 (4.8)
Nlogit 9 (21.4)
SAS 11 (26.2)
Sawtooth 4 (9.5)
SPSS 3 (7.1)
Stata 11 (26.2)
Other 10 (23.8)
Not reported 7 (16.7)
Journal Clinical 25 (59.5)
Economic 6 (14.3)
General 4 (9.5)
Marketing 1 (2.4)
Methodological 1 (2.4)
Pharmaceutical 1 (2.4)
Fundingb Yes Industry-funded 11 (28.2)
Non-industry-funded 27 (69.2)
No 1 (2.6)
  1. aTotals exceed the total number of studies included in this review, since 13/42 studies used more than one econometric model, 28/42 used more than one approach to identify subgroups, 23/42 used more than one outcome measure, 10/42 used more than one software package; bNote, the source of funding is based on the studies reporting their source of funding (n = 39) instead of all includes studies (n = 42)