| Literature DB >> 30304017 |
Denis Bourgeois1,2, Ina Saliasi1,2, Claude Dussart1, Juan Carlos Llodra3, Delphine Tardivo4, Laurent Laforest2, Manuel Bravo3, Stéphane Viennot1, Bruno Foti4, Florence Carrouel1,2.
Abstract
OBJECTIVE: The aim of this study was to evaluate the effectiveness of a preclinical oral prophylaxis education program by examining the effectiveness of the teaching module on changes to the students' attitudes towards their individual hygiene behaviors with interdental brushes (IDBs).Entities:
Mesh:
Year: 2018 PMID: 30304017 PMCID: PMC6179232 DOI: 10.1371/journal.pone.0204564
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Fig 1Workflow of the evaluation.
Description of the successive steps of the curriculum.
| Steps | Learning objectives | Contents |
| • To describe the current concept of prophylaxis given the complexity of the interdental biofilm and its effect on systemic health | • E-video conference sequenced into 3 20-minute chapters: | |
| • To describe and demonstrate basic concepts of biofilm technology | • Prior learning assessment by multiple-choice questions (MCQs) with a voting box | |
| • To explain the rationale for evaluating the access diameter of the interdental spaces. | • Students received a package including: | |
| Steps | Learning objectives | Contents |
| • Organize clinical sequences for students to take control of their oral health to disrupt the biofilm of the interdental spaces with personal acquisition of the prophylaxis technique | • The Interproximal Clinical Examination, a scoring method including the classification of the access diameter for interdental space, and the internal validity of the examiners to record bleeding conditions were described in detail in | |
| • To assess the effect of a preventive recall strategy on changes in behaviors and attitude level over time at post- and recall visits | • Sessions included repetition of practical hand, re-motivation, error management, re-calibration, and evaluation of clinical performance based on the evolution of the bleeding score | |
Change over time of indicators in dental students (n = 96).
| Variable | 1 week [T1] | 1 month [T2] | 3 months [T3] | 1 year [T4] | Global p-value | Paired Comparisons[ | |||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| n | value | n | value | n | value | n | value | ||||
| Use (% of all categories) of IDB (last period) | 96 | 10-6-6-29-20-25-3 | 96 | 36-6-13-25-12-7-0 | 96 | 27-5-28-20-11-8-0 | 96 | 79-3-9-4-2-2-0 | <0.001 | T1≠T2T3≠T4 | |
| <0.001 | T1≠ T2 T3≠ T4 | ||||||||||
| No | 10 | (10.4) | 35 | (36.5) | 26 | (27.1) | 76 | (79.2) | |||
| Yes | 86 | (89.6) | 61 | (63.5) | 70 | (72.9) | 20 | (20.8) | |||
| (Likert scale 1 = total agree to 5 = total disagree) | |||||||||||
| Motivation (Determination) | 10 | 1.80±0.92 | 26 | 2.27±1.25 | 24 | 1.96±1.08 | 67 | 3.61±1.03 | <0.001 | ||
| Ability to use IDB | 10 | 3.80±0.63 | 24 | 3.96±0.91 | 19 | 4.11±0.57 | 68 | 3.13±1.17 | <0.001 | ||
| Accesibility problem | 9 | 2.78±1.39 | 24 | 3.08±1.25 | 19 | 3.00±0.94 | 66 | 2.82±1.16 | 0.583 | ||
| Pain | 10 | 2.30±1.34 | 25 | 2.68±1.49 | 21 | 2.14±0.91 | 67 | 2.87±1.27 | 0.018 | ||
| Bleeding | 10 | 2.70±1.49 | 25 | 2.76±1.48 | 21 | 2.10±0.89 | 67 | 3.09±1.22 | <0.001 | ||
| Too uncomfortable | 10 | 2.20±1.14 | 25 | 2.28±1.31 | 22 | 2.00±0.93 | 67 | 2.16±1.07 | 0.715 | ||
| Cost | - | - | - | 62 | 3.05±1.30 | - | |||||
| (Likert scale 1 = very good to 5 = very bad) | |||||||||||
| Acceptability | 86 | 2.27±0.87 | 61 | 2.10±0.75 | 70 | 2.19±0.79 | 20 | 2.15±0.75 | 0.153 | - | |
| Traumatism (sensibility, pain, iatrogenia) | 86 | 2.85±1.00 | 61 | 2.62±0.90 | 70 | 2.63±0.84 | 20 | 2.40±0.75 | 0.013 | T1≠T2 | |
| Perceived efficacy | 86 | 1.63±0.67 | 60 | 1.53±0.65 | 70 | 1.97±1.02 | 19 | 1.79±0.63 | 0.006 | T1T2≠T3 | |
| All | 96 | (69.8) | 96 | (69.8) | 96 | (50.0) | 96 | (90.6) | <0.001 | T1T2≠T3≠T4 | |
| IDB-non-users | 10 | (40.0) | 35 | (57.1) | 26 | (46.2) | 76 | (88.2) | <0.001 | T2T3≠T4 | |
| IDB-users | 86 | (73.3) | 61 | (77.0) | 70 | (51.4) | 20 | (100) | <0.001 | T1T2≠T3≠T4 | |
| p-value | 0.062 | 0.070 | 0.818 | 0.197 | |||||||
| All | 96 | 2.83±2.98 | 96 | 2.83±2.98 | 96 | 1.60±2.23 | 96 | 11.50±15.30 | <0.001 | T1T2≠T3≠T4 | |
| IDB-non-users | 10 | 1.70±3.16 | 35 | 1.99±2.57 | 26 | 1.50±2.34 | 76 | 11.18±16.25 | <0.001 | T1T2T3≠T4 | |
| IDB-users | 86 | 2.96±2.95 | 61 | 3.31±3.10 | 70 | 1.64±2.21 | 20 | 12.80±11.30 | <0.001 | T1T2≠T3≠T4 | |
| p-value | 0.204 | 0.033 | 0.779 | 0.680 | |||||||
a: It includes percentages with no decimals, for categories: No;Less-1/week;1/3 days;1/2 days;1/day;More. I.e., at T1 (1 week), the percentages were, respectively: 10% (no brush), 6% (less frequency than 1/week), etc. Last period refers to the immediately previous period, i.e., between 1 week and 1 month for T2
b: Chi square with continuity correction or bilateral Fisher exact test (SPSS)
c: Recommendation to relatives [T1-T4] or prescriptions to patients [4]
d: Student t-test (SPSS)
e: Friedman test (SPSS)
f: Cochran test (SPSS)
g: ANOVA test with REGRESS procedure in SUDAAN 7.0 to make use of all data (patients with or without repeated measures)
h: LOGISTIC procedure in SUDAAN 7.0
i: Paired comparisons are calculated only if Global p-value is <0.05. The symbol "≠" means p<0.05. For example, for the first line, "T1≠T2T3≠T4" means that the "Use (% of all categories) of IDB (last period)" is significantly different (p<0.05, after Bonferroni's correction for 6 comparison, i.e., an uncorrected p-value of 0.0085) between 1 week and rest or time-point, but is not different between 1 month and 3 months, and so on
j: Wilcoxon test for paired samples (SPSS)
k: McNemar test (SPSS)
l: t-test with DESCRIPT procedure in SUDAAN 7.0
m: t-test for paired samples (SPSS)
n: chi-square with CROSSTAB procedure in SUDAAN 7.0.
*Not analyzed because the number of data is too low.
Bleeding in dental students (n = 96).
| Variable | 1 week [T1] | 1 month [T2] | 3 months [T3] | 1 year [T4] | Global p-value | Paired comparisons | ||||
|---|---|---|---|---|---|---|---|---|---|---|
| n | value | n | value | n | value | n | value | |||
| All | 96 | (96.9) | 96 | (79.2) | 96 | (85.4) | 89 | (94.4) | <0.001 | T1T4≠T2T3 |
| IDB-non-users | 10 | (70.0) | 35 | (82.9) | 26 | (100) | 70 | (95.7) | <0.001 | T2≠T3 |
| IDB-users | 86 | (100) | 61 | (77.0) | 70 | (80.0) | 19 | (89.5) | <0.001 | T1≠T2T3 |
| p-value | <0.001 | 0.679 | 0.010 | 0.289 | ||||||
| (Likert scale 1 = many times to 4 = never) | ||||||||||
| All | 89 | 1.78±0.89 | 75 | 2.23±1.09 | 75 | 2.13±0.96 | 71 | 2.39±1.09 | <0.001 | T1≠T2T3T4 |
| IDB-non-users | 5 | 3.40±0.89 | 25 | 3.04±1.06 | 18 | 2.67±0.77 | 56 | 2.61±1.11 | 0.085 | |
| IDB-users | 84 | 1.68±0.79 | 50 | 1.82±0.85 | 57 | 1.96±0.96 | 15 | 1.60±0.51 | 0.116 | |
| p-value | <0.001 | <0.001 | 0.006 | 0.001 | ||||||
| All | 96 | 19.7±17.7 | 96 | 23.4±21.6 | 96 | 21.7±24.6 | 96 | 33.9±25.5 | <0.001 | T1T2T3≠T4 |
| IDB-non-users | 10 | 31.9±22.3 | 35 | 37.1±25.2 | 26 | 39.5±27.7 | 76 | 38.0±25.0 | 0.809 | |
| IDB-users | 86 | 18.3±16.7 | 61 | 15.6±14.5 | 70 | 15.1±19.8 | 20 | 18.5±21.5 | 0.580 | |
| p-value | 0.020 | <0.001 | <0.001 | 0.002 | ||||||
a: Chi square with continuity correction or bilateral Fisher exact test (SPSS)
b: Student t-test (SPSS)
c: LOGISTIC procedure in SUDAAN 7.0 to make use of all data (patients with or without repeated measures)
d: ANOVA test with REGRESS procedure in SUDAAN 7.0
e: Friedman test (SPSS)
f: Paired comparisons are calculated only if Global p-value is <0.05. The symbol "≠" means p<0.05. For example, for the first line, "T1T4≠T2T3" means that the "Perceived bleeding % Yes" is significantly different (p<0.05, after Bonferroni's correction for 6 comparison, i.e., an uncorrected p-value of 0.0085) between 1 week and 1 month, compared to 3 months and 1 year
g: chi-square with CROSSTAB procedure in SUDAAN 7.0
h: t-test with DESCRIPT procedure in SUDAAN 7.0
i: t-test for paired samples (SPSS).
*Not analyzed because the number of data is too low.
Models (linear regression) for quantitative variables in dental students (n = 96).
| Factors | ||||||
|---|---|---|---|---|---|---|
| n | IDB use | Female | Tobacco | Baseline bleeding | Adjusted R2 | |
| β±se | β±se | β±se | β±se | |||
| 1 week | 86 | -0.50±0.36 | -0.16±0.19 | -0.11±0.23 | -0.01±0.00 | 0.08 |
| 1 month | 61 | -0.67±0.18 | -0.16±0.18 | -0.22±0.22 | -0.01±0.00 | 0.19 |
| 3 months | 70 | -0.86±0.21 | 0.00±0.19 | -0.26±0.22 | 0.00±0.00 | 0.18 |
| 1 year | 20 | -0.64±0.26 | -0.13±0.21 | 0.05±0.25 | -0.01±0.00 | 0.09 |
| 1 week | 86 | -0.71±0.42 | 0.17±0.22 | -0.26±0.27 | -0.00±0.00 | 0.08 |
| 1 month | 61 | -0.89±0.21 | 0.18±0.20 | -0.41±0.25 | -0.01±0.00 | 0.21 |
| 3 months | 70 | -0.90±0.21 | 0.14±0.19 | -0.37±0.22 | -0.00±0.00 | 0.22 |
| 1 year | 20 | -0.61±0.27 | -0.16±0.21 | -0.06±0.25 | 0.00±0.00 | 0.13 |
| 1 week | 86 | -0.55±0.28 | 0.26±0.15 | 0.00±0.18 | 0.00±0.00 | 0.12 |
| 1 month | 61 | -0.37±0.15 | 0.29±0.15 | -0.07±0.18 | 0.00±0.00 | 0.14 |
| 3 months | 70 | -0.56±0.26 | 0.25±0.23 | -0.04±0.27 | 0.00±0.00 | 0.08 |
| 1 year | 19 | -0.15±0.20 | -0.07±0.16 | -0.06±0.18 | 0.00±0.00 | 0.11 |
| 1 week | 96 | 1.71±1.02 | -0.52±0.62 | 1.08±0.74 | -0.01±0.01 | 0.10 |
| 1 month | 96 | 1.52±0.63 | -0.55±0.61 | 1.27±0.73 | -0.01±0.01 | 0.13 |
| 3 months | 96 | 0.20±0.54 | 0.68±0.48 | 0.87±0.56 | -0.01±0.01 | 0.09 |
| 1 year | 96 | 1.66±4.06 | -4.05±3.24 | 5.07±3.84 | 0.12±0.06 | 0.08 |
| 1 week | 96 | -1.53±0.38 | -0.15±0.18 | -0.12±0.21 | 0.00±0.00 | 0.28 |
| 1 month | 96 | -1.24±0.23 | -0.06±0.22 | -0.54±0.27 | 0.00±0.00 | 0.37 |
| 3 months | 96 | -0.70±0.27 | 0.02±0.23 | -0.08±0.28 | 0.00±0.00 | 0.11 |
| 1 year | 89 | -0.89±0.32 | 0.36±0.25 | -0.12±0.30 | 0.00±0.01 | 0.20 |
| 1 week | 96 | -14.98±5.68 | -2.23±3.45 | -3.73±4.09 | 0.26±0.07 | 0.22 |
| 1 month | 96 | -21.12±3.93 | 0.02±3.83 | -2.64±4.59 | 0.27±0.07 | 0.35 |
| 3 months | 96 | -24.98±5.05 | 1.32±4.49 | 0.82±5.27 | 0.25±0.09 | 0.34 |
| 1 year | 96 | -12.87±5.89 | 7.21±4.70 | 2.15±5.57 | 0.43±0.09 | 0.30 |
*p<0.05.
a: All potential predictor variables are forced into the models. In no case, the correlation between variables was higher than 0.75, indicating no collinearity effects.
b: IDB use at each time period expressed in the line.
c: Conclusions from these models should be taken with care due to missing values.
d: Recommendation to relatives (T1-T4) or prescriptions to patients (T4).