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

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

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)
Funding^b	Yes Industry-funded	11 (28.2)
	Non-industry-funded	27 (69.2)
	No	1 (2.6)

^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)

ISSN: 1471-2334