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Table 1 Characteristics of study participants

From: What would ‘upscaling’ involve? A qualitative study of international variation in stroke rehabilitation

Participant

Profession

World Region and income of country (GNI per capita)a

Years of experience

Local work setting

Dr. David Alexander

Neurologist

USA (North America)

High-income:

$62, 850

35

Inpatient and outpatient

Gabriele Eckhardt

PT

Germany (Europe)

High income: $47, 180

35

Outpatient rehabilitation center

Participant 7

PT

United Kingdom (Europe-UK)

High income: $41, 340

5–10b

Inpatient and acute hospital setting

Participant 12

SLT

United Arab Emirates (Middle East)

High-income: $41, 010

5–10b

Rehabilitation center

Participant 2

OT

New Zealand (East Asia and Pacific)

High-income: $40, 820

10–15b

Inpatient hospital setting

Dr. Ali Yavuz Karahan

Physiatrist (PRM physician)

Turkey (Europe)

Upper middle- income:

$10, 380

10

University hospital- inpatient and outpatient setting

Dr. Vanessa Seijas

PRM Physician

Colombia (South America)

Upper middle-income: $6190

5

Inpatient and outpatient setting

Bui Thi Huong

PT and OT

Vietnam (East Asia)

Lower middle-income: $2, 400

9

Inpatient and outpatient rehabilitation hospital setting

Dr. Abena Tannor

PRM physician

Ghana (Sub-Saharan Africa)

Lower middle-income: $2130

8

Inpatient and outpatient hospital setting

Dr. Farooq Rathore

PRM physician

Pakistan (South Asia) Lower middle-income: $1, 580

10

Inpatient and outpatient setting

Roshan Kumar Bishwakarma

PT

Nepal (South Asia) Low-income: $960

7

Inpatient and outpatient rehabilitation center

Ismalia Kebbie

PT

Sierra Leone (Sub-Saharan Africa) Low income: $500

9

Inpatient and outpatient hospital setting

  1. Abbreviations: GNI Gross National Income, OT occupational therapy, PRM Physical and rehabilitation medicine, PT physiotherapy/physical therapy, SLT Speech and language therapy, SW Social Worker
  2. aGNI per capita are from the 2017 or 2018 fiscal year dependent on updated information, presented in US dollars, and reported based on the World Bank Atlas method for calculating GNI, plus for categorizing countries as low, lower-middle, upper-middle, and high income [7, 12]
  3. bWithin the data a range of years of work experience has been included to protect participant anonymity
  4. Reference [7, 12]