| Literature DB >> 35292174 |
Amrita Geevarghese1, Jagan Kumar Baskaradoss2, Tina N Tsafa3, Israel T Agaku4.
Abstract
INTRODUCTION: Health professionals' own beliefs and practices, especially their smoking status, has been described to strongly influence their willingness to provide brief tobacco interventions (5 A's) to their patients. This study examines the association between the smoking status of faculty members in US dental programmes and (1) practice pattern; (2) perceived confidence; and (3) perceived educational preparedness of new graduates in providing the 5 A's to their patients.Entities:
Keywords: Dental education; Dental faculty; Public health; Smoking; Tobacco cessation
Mesh:
Year: 2022 PMID: 35292174 PMCID: PMC9485527 DOI: 10.1016/j.identj.2022.02.001
Source DB: PubMed Journal: Int Dent J ISSN: 0020-6539 Impact factor: 2.607
Demographic and workplace-related characteristics between never and ever smokers.
| Characteristics | Total | Never smokers | Ever smokers | |
|---|---|---|---|---|
| N (%) | n (%) | n (%) | ||
| Overall | 1896 (100.0) | 864 (45.6) | 1032 (54.4) | |
| Sex | ||||
| Male | 801 (43.5) | 316 (37.8) | 485 (48.4) | |
| Female | 1039 (56.5) | 521 (62.2) | 518 (51.6) | |
| Age | ||||
| 29 years or younger | 25 (1.4) | 20 (2.4) | 5 (0.5) | |
| 30-39 years | 190 (10.3) | 90 (10.8) | 100 (9.9) | |
| 40-49 years | 349 (18.7) | 174 (20.8) | 175 (17.4) | |
| 50-59 years | 511 (27.7) | 243 (29.0) | 268 (26.6) | |
| 60-69 years | 573 (31.2) | 252 (30.1) | 321 (31.8) | |
| 70+ years | 197 (10.7) | 58 (6.9) | 139 (13.8) | |
| Race/ethnicity | ||||
| White | 1452 (79.8) | 610 (73.8) | 842 (84.9) | |
| Black | 61 (3.4) | 25 (3.0) | 36 (3.6) | |
| Hispanic | 108 (5.9) | 59 (7.1) | 49 (4.9) | |
| Asian | 169 (9.3) | 122 (14.8) | 47 (4.7) | |
| Other | 30 (1.6) | 11 (1.3) | 19 (1.9) | |
| Region | ||||
| Midwest | 480 (26.1) | 208 (24.9) | 272 (27.0) | .63 |
| Northeast | 526 (28.5) | 246 (29.4) | 280 (27.8) | |
| South | 475 (25.7) | 212 (25.3) | 263 (26.1) | |
| West | 364 (19.7) | 171 (20.4) | 193 (19.1) | |
| Workplace | ||||
| Dental programme | 1378 (72.7) | 626 (72.5) | 752 (72.5) | .84 |
| Allied dental programme | 518 (27.3) | 238 (27.5) | 280 (27.5) | |
| Advanced profession | ||||
| General dentist | 416 (22.0) | 199 (23.1) | 217 (21.0) | .53 |
| Specialist dentist | 567 (30.0) | 261 (30.3) | 306 (29.7) | |
| Dental assistant/dental therapist/other dental | 310 (16.4) | 140 (16.2) | 170 (16.5) | |
| Dental hygienist | 447 (23.5) | 189 (21.9) | 258 (25.0) | |
| Others | 153 (8.1) | 73 (8.5) | 80 (7.8) | |
| Position | ||||
| Full-time | 1413 (75.0) | 660 (77.1) | 753 (73.2) | |
| Part-time | 471 (25.0) | 196 (22.9) | 275 (26.8) | |
| Educational setting dental where programme is located | ||||
| Dental school and affiliate | 1327 (70.3) | 614 (71.2) | 713 (69.5) | |
| Medical school/hospital | 46 (2.4) | 31 (3.2) | 15 (4.5) | |
| Community/junior college | 319 (16.9) | 129 (15.5) | 190 (15.0) | |
| Technical college/institute | 56 (3.0) | 23 (2.7) | 33 (3.5) | |
| School of allied health sciences | 89 (4.7) | 41 (4.8) | 48 (4.7) | |
| Other | 51 (2.7) | 31 (2.6) | 15 (2.8) | |
| Academic role | ||||
| Academic | 1701 (89.7) | 782 (90.6) | 919 (89.1) | .84 |
| Non-academic | 195 (10.3) | 82 (9.4) | 113 (10.9) | |
| Training programme involved in | ||||
| Dental assisting | 119 (6.3) | 65 (7.5) | 54 (5.3) | .21 |
| Dental hygiene | 461 (24.5) | 191 (21.9) | 270(26.7) | |
| Dental therapy | 15 (0.8) | 7 (0.8) | 8 (0.8) | |
| Other | 123 (6.5) | 64 (7.3) | 59 (5.8) | |
| Predoctoral | 1166 (61.9) | 545 (62.5) | 621 (61.4) | |
| Hours/week seeing patients | ||||
| 1-10 hours | 548 (45.5) | 248 (44.7) | 300 (46.2) | .45 |
| 11-20 hours | 301 (25.0) | 141 (25.-3) | 160 (24.6) | |
| 21-35 hours | 246 (20.4) | 108 (19.5) | 138 (21.2) | |
| 36+ hours | 110 (9.1) | 58 (10.5) | 52 (8.0) | |
| Received formal training for tobacco prevention/cessation? | ||||
| No | 506 (42.1) | 236 (42.7) | 270 (41.6) | .7 |
| Yes | 696 (57.9) | 317 (57.3) | 379 (58.4) |
Chi-square test.
Missing values present.Significant associations are shown in bold.
Perceived effectiveness of tobacco cessation interventions at the workplace.
| Total | Never smokers | Ever smokers | ||
|---|---|---|---|---|
| Effectiveness of: | N (%) | n (%) | n (%) | |
| Counselling from a dental professional | 876 (73.1) | 409 (74.1) | 467 (72.2) | .46 |
| Counselling from a physician | 968 (81.6) | 448 (81.8) | 520 (81.5) | .91 |
| Nicotine replacement therapy | 1032 (86.6) | 473 (86.5) | 559 (86.8) | .87 |
| Prescription medication | 1044 (88.9) | 482 (89.1) | 562 (88.6) | .81 |
| E-cigarettes | 387 (33.0) | 195 (36.0) | 192 (30.4) | |
| Quit lines | 541 (47.4) | 266 (50.5) | 275 (44.7) | |
| Web-based cessation materials | 454 (38.8) | 210 (38.9) | 244 (38.7) | .94 |
| Self-help materials | 421 (35.7) | 198 (36.3) | 223 (35.1) | .67 |
| Family support | 1071 (89.8) | 502 (91.6) | 569 (88.4) | .06 |
| Peer support | 1041 (88.0) | 478 (87.9) | 563 (88.1) | .90 |
Chi-square test.
Significant associations are shown in bold.
Perceived barriers to delivering smoking cessation counselling.
| Total | Never smokers | Ever smokers | ||
|---|---|---|---|---|
| Barrier | N (%) | n (%) | n (%) | |
| Little or no reimbursement for tobacco cessation | 947 (81.8) | 440 (82.6) | 507 (81.3) | .57 |
| Limited coverage for cessation | 939 (81.2) | 443 (83.0) | 496 (79.7) | .16 |
| Patients are not motivated to quit tobacco | 809 (69.3) | 383 (71.5) | 426 (67.4) | .14 |
| Lack of resources | 585 (50.3) | 278 (51.8) | 307 (49.0) | .34 |
| Patients who attempt to usually quit relapse | 963 (82.2) | 437 (81.8) | 526 (82.4) | .79 |
| Patients have more immediate problems than tobacco | 646 (55.3) | 324 (60.9) | 322 (50.5) | |
| Other priorities reduce my ability to provide tobacco cessation counselling | 659 (56.3) | 320 (59.6) | 339 (53.6) | |
| My experience in intervening with tobacco users is limited | 682 (57.7) | 319 (59.1) | 363 (56.5) | .38 |
| Physicians are better than dentists in providing tobacco cessation counselling | 136 (11.6) | 80 (15.0) | 56 (8.8) |
Chi-square test.
Significant associations are shown in bold.
The practice pattern, perceived confidence and perceived educational preparedness of new graduates of the institution in providing the 5 A's to their patients between "ever" and "never" smokers.
| Practice | Confidence | Preparedness | |||||||
|---|---|---|---|---|---|---|---|---|---|
| Never smokers | Ever smokers | Never smokers | Ever smokers | Never smokers | Ever smokers | ||||
| n (%) | n (%) | n (%) | n (%) | n (%) | n (%) | ||||
| Asking about cigarettes smoking | 501 (90.6) | 590 (90.6) | .53 | 517 (93.7) | 611 (93.9) | .89 | 480 (87.9) | 562 (87.7) | .90 |
| Asking about the use of any tobacco product other than cigarettes | 482 (87.2) | 562 (86.3) | .67 | 505 (91.7) | 596 (91.7) | .98 | 481 (88.3) | 556 (86.9) | .05 |
| Asking and recording the patient's tobacco use pattern | 503 (91.3) | 576 (88.8) | .15 | 513 (93.1) | 602 (92.6) | .74 | 289 (53.4) | 351 (55.3) | .52 |
| Advise tobacco users by discussing the benefits of quitting tobacco use | 484 (87.8) | 573 (88.0) | .93 | 503 (91.3) | 597 (91.8) | .73 | 443 (81.6) | 532 (83.1) | .49 |
| Advise tobacco users by providing educational materials on benefits of quitting | 343 (62.1) | 371 (57.2) | .08 | 336 (61.3) | 407 (62.7) | .62 | 168 (31.1) | 191 (30.2) | .74 |
| Assess tobacco users’ willingness to quit | 438 (79.5) | 521 (80.5) | .65 | 433 (78.9) | 516 (79.5) | .79 | 382 (70.3) | 434 (68.0) | .39 |
| Assist tobacco users by referring them to telephone quit lines | 234 (42.4) | 275 (42.5) | .95 | 301 (54.7) | 348 (54.1) | .83 | 489 (89.9) | 568 (88.8) | .53 |
| Assist tobacco user by offering smoking cessation medications | 161 (29.2) | 165 (25.5) | .15 | 198 (36.1) | 227 (35.1) | .71 | 295 (54.6) | 352 (55.4) | .78 |
| Assist tobacco users to set a day to quit | 304 (55.3) | 358 (55.4) | .96 | 343 (62.7) | 410 (63.1) | .90 | 355 (65.7) | 436 (68.6) | .31 |
| Arrange and monitor progress in quitting tobacco use | 300 (54.3) | 340 (52.4) | .50 | 399 (72.7) | 459 (70.8) | .48 | 287 (53.1) | 355 (56.1) | .31 |
Chi-square test.
Significant associations are shown in bold.
Multiple logistic regression models for the correlates of practice pattern, perceived confidence and perceived educational preparedness of new graduates of the institution in providing the 5 A's to their patients.
| Practice | Confidence | Preparedness | |||||||
|---|---|---|---|---|---|---|---|---|---|
| Variable | 95% CI | 95% CI | 95% CI | ||||||
| aOR | Lower limit | Upper limit | aOR | Lower limit | Upper limit | aOR | Lower limit | Upper limit | |
| Barrier score | |||||||||
| Effectiveness score | |||||||||
| Years since graduation | 0.90 | 0.81 | 1.00 | 0.92 | 0.83 | 1.02 | |||
| Residence region | 0.84 | 0.59 | 1.18 | 0.88 | 0.62 | 1.25 | 0.78 | 0.56 | 1.09 |
| Type of academic programme | 1.10 | 0.94 | 1.18 | 1.10 | 0.97 | 1.23 | 1.08 | 0.96 | 1.21 |
| Cigarette smoking status | 1.10 | 0.76 | 1.51 | 1.19 | 0.84 | 1.70 | 0.96 | 0.69 | 1.33 |
| Dental/allied | 1.03 | 0.69 | 1.53 | 0.82 | 0.55 | 1.22 | 0.98 | 0.67 | 1.43 |
| Nagelkerke | 12.6 | 17.7 | 7.8 | ||||||
aOR, adjusted odds ratio.
Significant associations are shown in bold.