| Literature DB >> 30547799 |
Simin Z Mohebbi1,2, Sepideh Rabiei1,2, Reza Yazdani3,4, Pentti Nieminen5, Jorma I Virtanen6,7.
Abstract
BACKGROUND: Family physicians are in frequent contact with patients, and their contribution to oral health promotion programs could be utilized more effectively. We implemented an oral health care (OHC) educational seminar for physicians and evaluated its impact on their knowledge retention in OHC.Entities:
Keywords: Educational; Intervention; Oral health; Physicians; Primary care
Mesh:
Year: 2018 PMID: 30547799 PMCID: PMC6293501 DOI: 10.1186/s12903-018-0676-2
Source DB: PubMed Journal: BMC Oral Health ISSN: 1472-6831 Impact factor: 2.757
Percentage (frequency) of physicians’ (n = 106) correct responses to knowledge questions
| Group A ( | Group B ( | Group C ( | |||||||
|---|---|---|---|---|---|---|---|---|---|
| Pre | Post | Diff | Pre | Post | Diff | Pre | Post | Diff | |
| Paediatric domain | |||||||||
| The bacteria that causes dental decay usually transmit from mother to the child | 16 (6) | 84 (32) | 68 (26) | 22 (7) | 31 (10) | 9 (3) | 33 (12) | 42 (15) | 33 (12) |
| Toothpastes which contain fluoride should not be used for children under 3 years old | 18 (7) | 53 (20) | 35 (13) | 22 (7) | 13 (4) | -9 (−3) | 17 (6) | 17 (6) | 17 (6) |
| Teeth cleaning and brushing should be started from 2- to 3- years old, when deciduous dentition is completed | 21 (8) | 55 (21) | 34 (13) | 38 (12) | 47 (15) | 9 (3) | 36 (13) | 25 (9) | 36 (13) |
| Pacifier sucking in under-4-year-old children is a risk factor for dento-alveolar malformation | 3 (1) | 42 (16) | 39 (18) | 6 (2) | 9 (3) | 3 (1) | 14 (5) | 17 (6) | 14 (5) |
| Using fluoride varnish on under-5-year-olds teeth causes fluorosis and poisoning | 26 (10) | 66 (25) | 40 (15) | 31 (10) | 34 (11) | 3 (1) | 33 (12) | 33 (12) | 33 (12) |
| Sealants are effective in the prevention of pit and fissure caries in newly erupted molars | 61 (23) | 92 (35) | 31 (12) | 59 (19) | 72 (23) | 13 (4) | 64 (23) | 64 (23) | 64 (23) |
| Dental domain | |||||||||
| Why fluoride is added to toothpaste | 90 (34) | 100 (38) | 10 (4) | 88 (28) | 91 (29) | 3 (1) | 100 (36) | 100 (36) | 100 (36) |
| The first signs of decay are white spots or lines on teeth surfaces | 47 (18) | 97 (37) | 50 (19) | 47 (15) | 63 (20) | 16 (5) | 44 (16) | 39 (14) | 44 (16) |
| The frequency of sugar consumption has a greater role in producing caries than does the total amount of sugar consumed | 97 (37) | 97 (37) | 0 (0) | 88 (28) | 81 (26) | -7 (−2) | 94 (34) | 86 (31) | 94 (34) |
| Using fluoride toothpaste is more important than the brushing technique for preventing caries | 0 (0) | 63 (24) | 63 (24) | 3 (1) | 13 (4) | 10 (3) | 17 (6) | 17 (6) | 17 (6) |
| The best time to refer a pregnant woman for emergency dental procedure is in second semester | 71 (27) | 87 (33) | 16 (6) | 56 (18) | 66 (21) | 10 (3) | 75 (27) | 78 (28) | 75 (27) |
| The main cause of periodontal diseases is dental plaque | 82 (31) | 100 (38) | 18 (7) | 72 (23) | 84 (27) | 12 (4) | 86 (31) | 89 (32) | 86 (31) |
| Medical domain | |||||||||
| Periodontal diseases can cause LBW | 61 (23) | 90 (34) | 29 (11) | 75 (24) | 78 (25) | 3 (1) | 64 (23) | 75 (27) | 64 (23) |
| Periodontal diseases can cause problems in diabetes control | 63 (24) | 97 (37) | 34 (13) | 75 (24) | 75 (24) | 0 (0) | 75 (27) | 78 (28) | 75 (27) |
| Periodontal diseases can cause cardiovascular disease | 79 (30) | 90 (34) | 11 (4) | 94 (30) | 92 (29) | −2 (−1) | 92 (33) | 92 (33) | 92 (33) |
| Antidepressants increase the risk of dental caries | 47 (18) | 87 (33) | 40 (15) | 53 (17) | 59 (19) | 6 (2) | 58 (21) | 67 (24) | 58 (21) |
| Analgesics increase the risk of dental caries | 29 (11) | 68 (26) | 39 (15) | 25 (8) | 44 (14) | 19 (6) | 47 (17) | 50 (18) | 47 (17) |
| Antihypertensive drugs increase the risk of dental caries | 13 (5) | 71 (27) | 58 (22) | 28 (9) | 34 (11) | 6 (2) | 28 (10) | 31 (11) | 28 (10) |
Group A: Booklet + CME course + pamphlet, Group B: Pamphlet, Group C: Control, Pre: before, Post: after the intervention
The changes in the knowledge scores among the physicians (n = 106) by the study groups
| Domains | Change in scores before and after intervention | Significance | |||
|---|---|---|---|---|---|
| Group A | Group B | Control | |||
| Mean (SD) | Mean (SD) | Mean (SD) | |||
| Total Knowledge | 6.16 (3.67) | 1.03 (2.30) | 0.19 (2.20) | < 0.001 | 0.375 |
| Pediatric domain | 2.47 (1.69) | 0.28 (0.85) | 0.00 (0.71) | < 0.001 | 0.524 |
| Dental domain | 1.58 (1.77) | 0.44 (0.80) | − 0.08 (0.94) | < 0.001 | 0.062 |
| Medical domain | 2.11 (1.62) | 0.31 (1.50) | 0.28 (0.94) | < 0.001 | 0.992 |
Group A: Booklet + CME course + pamphlet;
Group B: Pamphlet;
Group C: Control;
aP- value of Dunnett’s multiple comparison test
Linear regression models for predicting change in the total knowledge score and the three domains
| Explanatory variables | Standardized regression coefficient Beta | 95% confidence interval for Beta | ||
|---|---|---|---|---|
| Lower bound | Upper bound | |||
| Model 1: total score | ||||
| Group A intervention | 0.64 | < 0.001 | 0.377 | 0.655 |
| Group B intervention | 0.035 | 0.677 | −1.14 | 1.75 |
| Age | 0.06 | 0.525 | − 0.06 | 0.11 |
| Gendera | 0.09 | 0.311 | − 0.77 | 2.39 |
| Working placeb | 0.09 | 0.306 | − 0.66 | 2.07 |
| Total score at baseline | −0.30 | < 0.001 | − 0.63 | − 0.20 |
| Model 2: paediatric domain score | ||||
| Group A intervention | 0.69 | < 0.001 | −1.62 | 2.74 |
| Group B intervention | 0.03 | 0.723 | −0.49 | 0.70 |
| Age | 0.04 | 0.672 | −0.03 | 0.04 |
| Gendera | 0.06 | 0.539 | − 0.46 | 0. 88 |
| Working placeb | 0.11 | 0.235 | −0.23 | 0.91 |
| Paediatric score at baseline | −0.17 | 0.0350 | −0.43 | −0.08 |
| Model 3: dental domain score | ||||
| Group A intervention | 0.58 | < 0.001 | −1.02 | 1.92 |
| Group B intervention | 0.19 | 0.235 | −0.19 | 0.78 |
| Age | 0.09 | 0.338 | −0.02 | 0.04 |
| Gendera | 0.02 | 0.809 | − 0.45 | 0.58 |
| Working placeb | 0.04 | 0.684 | −0.36 | 0.54 |
| Dental score at baseline | −0.44 | < 0.001 | −0.74 | − 0.34 |
| Model 4: medical domain score | ||||
| Group A intervention | 0.42 | < 0.001 | −0.82 | 2.14 |
| Group B intervention | −0.04 | 0.696 | −0.81 | 0.54 |
| Age | 0.04 | 0.657 | −0.03 | 0.05 |
| Gendera | 0.11 | 0.262 | − 0.32 | 1.15 |
| Working placeb | 0.09 | 0.343 | −0.33 | 0.94 |
| Medical score at baseline | −0.42 | < 0.001 | −0.67 | − 0.29 |
aGender:female = 1, male = 2, bWorking place: public = 1, public+private = 2