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. 2022 Dec 23;22:2415. doi: 10.1186/s12889-022-14696-3

Table 1.

Study characteristics of quantitative studies

Author/Year Study population/ sample size Country/city Study Design Gender Age
Brett et al. (2020) [12]

506 participants

GPs-103

Oncologists-102

Cancer surgeons- 100

Cancer nurse specialists-99

England, Wales, Scotland & Northern Ireland

Cross-sectional online survey. Face-validity.

Questions developed from previous studies [15, 37, 38].

Male-41.1%

Female-57.5%

Prefer not to say- 1.4%

N/A
Egnot et al. (2017) [13]

142 participants (338 invited) 42% response rate

Non-surgical clinicians- 102 (internal medicine, family medicine, preliminary and transitional medicine, cardiology, otolaryngology, emergency medicine, pulmonary critical care)

Surgical clinicians- 40 (neurosurgery, plastic surgery, general surgery, obstetrics/gynaecology, anaesthesia, orthopaedics, ophthalmology)

Columbus, Ohio, USA

Cross-sectional online survey. Validity not established.

Questions on harm reduction developed from previous studies [39].

Male- 69

Female- 73

Mean age- 28.95 years
Feng et al. (2019) [14]

1023 participants (1291 invited)

Pneumology/cardiovascular/oncology- 190

Others- 833

China Cross-sectional online survey. Validity not established. Questions developed from previous studies [20, 40].

Male- 692

Female-331

20–29 years- 226

30–39 years- 490

40 > years- 307

Kanchustambham et al. (2017) [15]

115 participants 40% response rate

Internal medicine- 40

Internal medicine sub-specialities- 32

Family medicine- 10

Neurology- 5

Psychiatry- 7

Pulmonary- 14

Surgery- 7

Saint Louis University Hospital, Missouri, USA

Cross-sectional online survey. Validity not established.

Questions developed from previous studies (not mentioned).

N/A N/A
Kandra et al. (2014) [16]

128 participants (787 invited) 31% response rate

Family medicine- 28

Internal medicine- 24

Obstetricians/gynaecologists- 21

Psychiatrists- 27

Surgeons- 28

North Carolina, USA Cross-sectional online survey. Validity not mentioned. N/A

< 44 years- 47.9%

> 45 years- 52.1%

Koprivnikar et al. (2020) [17]

479 participants (1122 invited)

Nurse or midwife- 356

Physician- 70

Other- 52

Slovenia Cross-sectional online survey. Validity not established. Pilot tested. Questions developed from previous studies [15, 20, 34, 38, 41].

Male- 47

Female- 431

20–39 years- 235 (49.1%)

> 40 years- 244 (50.9%)

Moysidou et al. (2016) [18]

262 participants (865 invited) 30.3% response rate

Physician- 185

Nurse- 77

Physician specialties: GP- 17

Cardiologist- 53

Dentist- 32

Internist- 32

Paediatrician- 17

Respiratory physician- 34

Athens, Greece Cross-sectional online survey. Validity not established.

Male- 138

Female- 124

Mean age- 39 years
Mughal et al. (2018) [19]

312 participants

GPs- 117

GP trainees- 189

UK

Cross-sectional online survey. Pilot tested.

Validity not established.

Male- 110

Female- 201

N/A
Nickels et al. (2017) [20]

561 participants (1500 invited) 44% response rate

Anaesthesiology- 64

Family practice- 97

General surgery- 107

Internal medicine- 89

Pulmonary- 204

USA Cross-sectional postal survey. Face-validity and cognitively tested.

Male- 464

Female- 97

Mean age- 57.2 years
Pepper et al. (2015) [21]

776 participants (2368 invited) 33% response rate

Paediatrics- 410

Family medicine- 366

USA

Cross-sectional online survey. Pilot tested.

Validity not mentioned

Male- 526

Female- 250

N/A
Pepper et al. (2014) [22]

561 participants (3923 invited) 28% response rate

Family medicine- 258

Paediatrician- 114

Nurse practitioner- 189

Minnesota, USA

Cross-sectional online survey. Validity not mentioned. Cognitively tested.

Questions developed from previous studies [42].

Male- 161

Female- 400

Mean age- 47.8 years
Salloum et al. (2021) [23]

216 participants (801 invited) 28.7% response rate

Family medicine- 98

Internal medicine- 103

Missing- 15

Florida, USA

Cross-sectional state-wide postal survey.

Questions guided and developed from previous studies [16, 36, 43]. Face-validity and cognitively tested.

Male- 163

Female- 46

Missing-7

Mean age- 58.6 years
Sharifi et al. (2019) [24]

147 participants

Medical professionals, smoking cessation counsellors, respiratory physicians, cardiologists, internists, paediatricians & GPs

Iran Cross-sectional postal survey. Questions developed from previous validated studies [44].

Male- 49

Female- 98

Mean age- 41.05 years
Steinberg et al. (2015) [25]

158 participants 2.25% response rate (pilot study)

Primary care- 62

Specialists (tobacco diseases) oncologists, cardiologists, pulmonologists- 96

USA Cross-sectional online survey. Validity not mentioned

Male- 44

Female-112

Missing-2

N/A
Talley et al. (2017) [26]

80 participants (181 invited) 44% response rate (pilot study)

Physician- 48

Nurse- 8

Physicians’ assistant- 6

Nurse practitioner- 16

Other (general or family practice)- 2

USA Cross-sectional online survey. Validity not mentioned.

Male- 41

Female- 39

Mean age- 45.6 years
Van Gucht & Baeyens (2016) [27]

76 participants

GPs- 22 (29%)

Tobacco counsellors- 54 (71%)

Flanders, Belgium Cross-sectional online questionnaire. Some questions developed from previous studies [16]. Validity not mentioned.

Male: GPs- 33%

Tobacco counsellors- 40%

Female: GPs-67%

Tobacco counsellors- 60%

Mean age- 45 years
Zgliczynski et al. (2019) [28]

412 participants (500 invited) 82.4% response rate

Physicians

Poland

Cross-sectional postal survey. Face-validity.

Questions developed from previous studies [16, 22, 27].

Male- 147

Female- 265

Mean age- 31.9 years
Zhou et al. (2020) [29]

291 participants 46% response rate

Primary care physicians (internists, paediatricians or family medicine physicians)- 222

Pulmonary- 33

Allergists/immunologists- 36

Michigan, USA

Cross- sectional online survey.

Questions developed from previously validated surveys [45, 46].

Male- 160

Female- 131

< 30 years- 125

31–40 years- 70

41–50 years- 42

51–60 years- 34

> 60 years- 20