Table 4.

Responses about the current state of data deidentification (N=118).

Measures		Respondents, n (%)
Deidentify when using health care data (n=118)
	Yes	101 (85.6)
	No	17 (14.4)
Number of applied deidentification methods (n=101)
	1 method	37 (31.4)
	2 methods	33 (28.0)
	3 methods	18 (15.3)
	4 methods	4 (3.4)
	5 methods	9 (7.6)
Applied methods (n=101; multiple response question)
	Pseudonymization	72 (71.3)
	Masking	57 (56.4)
	Data reduction	37 (36.6)
	Data suppression	30 (29.7)
	Aggregation	22 (21.8)
Difficulties when deidentifying data (n=101)
	Strict social culture	28 (27.7)
	Absence of clear deidentification guideline	24 (23.8)
	Usefulness of deidentified data	15 (14.9)
	Lack of understanding of deidentification policy and technology	14 (13.9)
	Lack of relevant institution support	11 (10.9)
	Lack of deidentification measure for unstructured data	9 (8.9)