| Literature DB >> 25326268 |
Suhair Ref'at Obeidat1, Amani Ghassan Alsa'di, Dafi Sultan Taani.
Abstract
BACKGROUND: The aims of this study are to assess the influences of demographic and personal factors on Jordanian adults' abilities to use dental services and the barriers to regular attendance.Entities:
Mesh:
Year: 2014 PMID: 25326268 PMCID: PMC4210624 DOI: 10.1186/1472-6831-14-127
Source DB: PubMed Journal: BMC Oral Health ISSN: 1472-6831 Impact factor: 2.757
Sociodemographics and personal data of study sample (N = 614)
| Variable | N (%) |
|---|---|
|
| |
| 18-25 | 246 (40.1) |
| 26-45 | 277 (45.1) |
| 46-65 | 91 (14.8) |
|
| |
| Male | 282 (45.9) |
| Female | 332 (54.1) |
|
| |
| Single | 246 (40.1) |
| Married | 368 (59.9) |
|
| |
| <250 | 309 (50.3) |
| 250-500 | 222 (36.2) |
| >500 | 83 (13.5) |
|
| |
| ≤12 years | 262 (42.7) |
| >12 years | 352 (57.3) |
|
| |
| Employee | 289 (47.1) |
| Unemployed | 325 (52.9) |
|
| |
| No | 293 (47.7) |
| Yes | 321 (52.3) |
|
| |
| Fair | 568 (92.5) |
| Poor | 46 (7.5) |
|
| |
| No | 337 (54.9) |
| Yes | 277 (45.1) |
Dental insurance data of study sample (N = 614)
| Variable | N (%) |
|---|---|
|
| |
| No | 261 (42.5) |
| Yes | 353 (57.5) |
|
| |
| Governmental | 167 (47.3) |
| Military | 121 (34.3) |
| University | 37 (10.5) |
| Private | 28 (7.9) |
Utilization of dental services and reasons for not attending dental office in the study sample (N = 614)
| Variable | N (%) |
|---|---|
|
| |
| Users | 573 (93.3) |
| Non users | 41 (6.7) |
|
| |
| Check up | 63 (11.0) |
| On emergency/need | 510 (89.0) |
|
| |
| Cost (yes) | 137 (26.9) |
| Time constrains (yes) | 200 (39.2) |
| Fear from dentist or procedures (yes) | 77 (15.1) |
| Treatment not needed (yes) | 113 (22.2) |
| Difficulty to get appointment (yes) | 36 (7.1) |
| Difficulty to reach clinic –distance (yes) | 16 (3.1) |
|
| |
| Cost (yes) | 7 (17.1) |
| Time constrains (yes) | 4 (9.8) |
| Fear from dentists (yes) | 1 (2.4) |
| Treatment not needed (yes) | 23 (56.1) |
| Difficulty to get appointment (yes) | 3 (7.3) |
| Difficulty to reach clinic –distance (yes) | 1 (2.4) |
Last dental visit related data of study sample (N = 614)
| Variable | N (%) |
|---|---|
|
| |
| Less than one year | 291 (47.4) |
| 1–2 years | 110 (17.9) |
| 2–5 years | 65 (10.6) |
| ≥5 years | 107 (17.4) |
| Never visited dentist | 41 (6.7) |
|
| |
| Restorations (yes) | 353 (61.6) |
| Prosthesis (yes) | 300 (52.4) |
| Extraction (yes) | 198 (34.6) |
| Periodontal treatment (yes) | 81 (14.1) |
| Orthodontic treatment (yes) | 94 (16.4) |
Variables related to the preferred clinics by study sample (N = 614)
| Variable | N (%) |
|---|---|
|
| |
| Public | 125 (20.4) |
| Private | 489 (79.6) |
|
| |
| Low cost | 79 (63.2) |
| Partially covered by insurance | 49 (39.2) |
| Close location | 22 (17.6) |
|
| |
| Quality of treatment | 323 (66.1) |
| No long waiting | 226 (46.2) |
| Possibility to continue treatment | 148 (30.3) |
| Availability of treatment type | 69 (14.1) |
| Unavailability of dental insurance | 78 (16.0) |
| Easiness to get close appointment | 105 (21.5) |
Multiple logistic regression models – utilization of dental services (R = 0.173) and users’ pattern of dental attendance (R = 0.05) for study sample
| Explanatory variables | Utilization of dental services (dependent)# | Users’ pattern of attendance (dependent)$ |
|---|---|---|
| User vs. not user (N = 614) | Regular vs. Irregular (N = 573) | |
| OR (95% CI) | OR (95% CI) | |
|
| ||
| Married | 2.77** (1.3-5.8) 1.0 | 1.0 1.82* (1.07-3.1) |
|
| ||
| Yes | 6.6*** (2.5-17.6) 1.0 | Not significant variable |
|
| ||
| Fair | 2.6NS (0.96-6.95) | Not significant variable |
*Significant at 0.05 level. **significant at 0.005 level. ***significant at 0.001 level, NS = not significant.
The explanatory (independent) variables included in the model (Utilization of dental services)# were: Health status (Fair vs. Poor), Marital status (Married vs. Single), Missing teeth (Yes vs. No), Educational level (≤12 years vs. >12 years), Income level (<250 JD/Month vs. ≥250), Difficulties visiting (No vs. Yes), Having dental insurance (No vs. Yes), and Gender (Female vs. Male). Only Marital status and Missing teeth were significant factors influencing the utilization of dental services.
The explanatory (independent) variables included in the model (Users’ pattern of attendance)$ were: Health status (Fair vs. Poor), Marital status (Married vs. Single), Missing teeth (Yes vs. No). Marital status was the only significant factor influencing the users’ attendance pattern.