| Literature DB >> 28299117 |
Matilda Braimoh1, Eyitope Ogunbodede2, Abiola Adeniyi3.
Abstract
The limited access to oral health care in developing countries can be greatly improved by integrating oral health into the Primary Health Care (PHC) system. This study was designed to assess the views of PHC workers on integrating oral health care into the PHC system. A self-administered questionnaire survey was conducted in two selected local government areas of Lagos State. The instrument contained three sections assessing sociodemographic features, knowledge of common oral diseases and views on integration of oral health into PHC respectively. The mean knowledge score was 7.75 (SD=±1.81), while 60.4% of the respondents had average knowledge scores. Educational status (P=0.018) and designation (P=0.033) were significantly related to the mean knowledge scores. There was no significant difference in the oral health knowledge of the various cadres (P=0.393). Majority (85.4%) of the respondents were willing to include oral health education in their job schedule and 82% believed they needed more training on oral health. The knowledge of the respondents on the causes of the common oral diseases was deficient. Oral health education should be included in the future curriculum of these personnel.Entities:
Keywords: integration; oral health; primary health care
Year: 2014 PMID: 28299117 PMCID: PMC5345462 DOI: 10.4081/jphia.2014.328
Source DB: PubMed Journal: J Public Health Afr ISSN: 2038-9922
Figure 1.Respondents’ previous dental experience.
Responses to oral health knowledge questions.
| Question | Correct responses | Incorrect responses | ||
|---|---|---|---|---|
| No | % | No | % | |
| Dirty mouth causes dental caries (F) | 71 | 74 | 25 | 26 |
| Worms cause caries (F) | 78 | 81.2 | 18 | 18.8 |
| Sugary foods/drinks cause caries (T) | 61 | 63.5 | 35 | 36.5 |
| Bacteria/germs cause caries (T) | 48 | 50 | 48 | 50 |
| Dirty mouth causes gum disease (T) | 72 | 75 | 24 | 25 |
| Worms cause gum disease (F) | 85 | 88.5 | 11 | 11.5 |
| Sugary foods/drinks cause gum disease (F) | 48 | 50 | 48 | 50 |
| Bacteria/germs cause gum disease (T) | 48 | 50 | 48 | 50 |
| Oral health can affect general health (T) | 85 | 88.5 | 11 | 11.5 |
| It is necessary to attend for routine dental check (T) | 76 | 79.2 | 20 | 20.8 |
| Active constituent of toothpaste (F) | 47 | 49 | 49 | 51 |
| How many times should one brush daily for good oral health (Twice) | 50 | 52.1 | 46 | 47.9 |
F, false; T, true.
Relationship between respondents’ perception on the adequacy of their knowledge, formal training on oral health and their designation, educational status and graded knowledge score.
| Characteristic | Perceived adequacy of knowledge on oral health | Formal training on oral health | Total | ||
|---|---|---|---|---|---|
| Adequate No (%) | Inadequate No (%) | Yes (%) | No (%) | ||
| Designation | |||||
| Nurse/Midwife | 18 (36.7%) | 31 (63.3%) | 17 (34.7%) | 32 (65.3%) | 49 |
| CHO | 13 (56.5%) | 10 (43.5%) | 16 (69.6%) | 7 (30.4%) | 23 |
| CHEW | 14 (58.3%) | 10 (41.7%) | 8 (33.3%) | 16 (66.7%) | 24 |
| P-value 0.126 | P-value 0.0012 | ||||
| Educational status | |||||
| University | 9 (69.2%) | 4 (30.8%) | 8 (61.5%) | 5 (38.5%) | 13 |
| Diploma | 23 (37.7%) | 38 (62.3%) | 25 (41%) | 36 (59%) | 61 |
| Certificate | 13 (59.1%) | 9 (40.9%) | 8 (36.4%) | 14 (63.6%) | 22 |
| P-value 0.050 | P-value 0.313 | ||||
| Graded knowledge score | |||||
| Good | 16 (48.5%) | 17 (51.5%) | 15 (45.4%) | 18 (54.6%) | 33 |
| Average | 28 (48.3%) | 30 (51.7%) | 26 (44.8%) | 32 (55.2%) | 58 |
| Poor | 1 (20%) | 4 (80%) | 0 (0%) | 5 (100%) | 5 |
| P-value 0.465 | P-value 0.140 | ||||
| Total | 45 (46.8%) | 51 (53.2%) | 41 (42.7%) | 55 (57.3%) | |
CHO, community health officers; CHEW, community health extension workers.
Relationship between socio-demographic characteristics and knowledge scores.
| Characteristics | Knowledge score | Mean knowledge score±SD | ||
|---|---|---|---|---|
| Good No (%) | Average No (%) | Poor No (%) | ||
| Age category | ||||
| 20-30 years | 6 (40.0) | 9 (60.0) | 0 (0.0) | 8.33±1.34 |
| 31-40 years | 12 (37.5) | 18 (56.3) | 2 (6.2) | 7.72±1.89 |
| 41-50 years | 15 (36.6) | 23 (56.1) | 3 (7.3) | 7.78±1.94 |
| >50 years | 0 (0.0) | 8 (100) | 0 (0.0) | 6.62±1.19 |
| P=0.340 | F=1.581 P=0.199 | |||
| Gender | ||||
| Male | 3 (23.1) | 10 (76.9) | 0 (0.0) | 7.38±1.39 |
| Female | 30 (36.1) | 48 (57.8) | 5 (6.0) | 7.81±1.87 |
| P=0.364 | F=0.609 P=0.437 | |||
| Educational status | ||||
| University | 6 (46.1) | 7 (53.8) | 0 (0.0) | 8.69±1.81 |
| Diploma | 23 (37.7) | 35 (57.4) | 3 (4.9) | 7.84±1.80 |
| Others | 4 (0.2) | 16 (7.3) | 2 (0.09) | 6.95±1.61 |
| P=0.347 | F=4.212 P=0.018 | |||
| Designation | ||||
| Nurse/Midwife | 19 (38.8) | 27 (55.1) | 3 (6.1) | 7.84±1.79 |
| CHO | 9 (39.1) | 14 (60.9) | 0 (0.0) | 8.35±1.75 |
| CHEW | 5 (20.8) | 17 (70.8) | 2 (8.4) | 7.00±1.72 |
| P=0.393 | F=3.543 P=0.033 | |||
| Years of experience | ||||
| 0-10 years | 14 (35.0) | 24 (60.0) | 2 (5.0) | 7.80±1.79 |
| 11-20 years | 12 (31.6) | 23 (60.5) | 3 (7.9) | 7.66±2.02 |
| 21-30 years | 7 (38.9) | 11 (61.1) | 0 (0.0) | 7.83±1.46 |
| P=0.797 | F=0.082 P=0.922 | |||
| Total | 33 (34.38) | 58 (60.42) | 5 (5.20) | 96 (100) |
SD, standard deviation; CHO, community health officers; CHEW, community health extension workers.
*Average and poor scores were merged for computing the chi-square values
**statistically significant.
Predictors of respondents’ oral health knowledge.
| Variable | Odds ratio | Confidence interval | P-value | |
|---|---|---|---|---|
| Lower | Upper | |||
| Gender | 1.241 | –0.954 | 4.390 | 0.434 |
| Local government | 1.248 | 0.518 | 1.979 | 0.001 |
| Educational status | 0.867 | 0.059 | 1.674 | 0.036 |
| Years of experience | 0.016 | –0.030 | 0.062 | 0.489 |
| Designation | 0.028 | –0.030 | 0.062 | 0.922 |
| Constant | 2.623 | –0.954 | 6.199 | 0.148 |
*Significance 001. F=5.071