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Table 1 Patient-related attributes that could influence decision-making about thrombolysis

From: A novel design process for selection of attributes for inclusion in discrete choice experiments: case study exploring variation in clinical decision-making about thrombolysis in the treatment of acute ischaemic stroke

1.

Systolic blood pressure

2.

Diastolic blood pressure

3.

Blood glucose level

4.

Patient frailty

5.

Stroke severity (NIHSS score)

6.

History of hypertension

7.

History of stroke

8.

Anticoagulation status / INR level

9.

Aspirin monotherapy

10.

A patient’s level of social support

11

Major surgery in past 3 months

12.

Presence of diabetes at time of presentation

13.

Patient age

14.

Patient ethnicity

15.

Patient gender

16.

Socioeconomic status of patient

17.

Stroke onset time to treatment

18.

Recent infarction on CT/MRI scan

19.

Pre-stroke cognitive functioning / capacity / comprehension of risk information

20.

Pre-stroke dependency status

21.

Patient/relative values, knowledge and views on thrombolysis

22.

Co-morbidities