| Literature DB >> 35775664 |
Taina Kankaala1,2, Pirjo Kaakinen3, Vuokko Anttonen1,4.
Abstract
OBJECTIVES: Patient-centered approach can offer valuable information in improving dental care, but literature is scarce. This study aimed to evaluate self-reported factors beneficial for attendance in dental care.Entities:
Keywords: dental attendance; dental fear; inductive content analysis; pandemic
Mesh:
Year: 2022 PMID: 35775664 PMCID: PMC9562830 DOI: 10.1002/cre2.625
Source DB: PubMed Journal: Clin Exp Dent Res ISSN: 2057-4347
Figure 1The process of inductive content analysis via subcategories and their descriptions. The number of utterances or expressions by the four main categories are included.
Figure 2Examples of original utterances with their subcategories in main Categories 1 and 2: Administrative factors and treatment‐related factors.
Figure 3Examples of original utterances with their subcategories in Categories 3 and 4: Factors related to personnel and patient‐related factors.
Distribution of the participants in the four main categories (1−4) and three additional ones (second, third, and fourth) according to their responses
| Number of participants, | |||||
|---|---|---|---|---|---|
| Main categories | Description of category | First category | Second category | Third category | Fourth category |
| 1. Administrative factors | Arrangements and availability in accessing dental care | 21 (18.8) | 2 (1.8) | 1 (0.9) | 0 (0) |
| 2. Treatment‐related factors | Factors related to waiting, dental office, and clinical procedures | 28 (25.0) | 13 (11.6) | 1 (0.9) | 0 (0) |
| 3. Factors‐related to personnel | Characteristics and interactive skills | 32 (28.6) | 10 (8.9) | 1 (0.9) | 1 (0.9) |
| 4. Patient‐related factors | Former experiences, dental fear, and anxiety | 31 (27.7) | 1 (0.9) | 0 (0) | 0 (0) |
| Number of patients, | Total | 112 (100) | 26 (23.2) | 3 (2.7) | 1 (0.9) |
Distribution of the participants in the generic four main categories by age, gender, and MDAS‐scores
| Number of participants, | |||||
|---|---|---|---|---|---|
| Variable | Administrative factors | Treatment‐related factors | Factors related to personnel | Patient‐related factors |
|
| Total ( | 21 | 28 | 32 | 31 | |
| Age group | |||||
| 16−29 | 5 (16.7) | 4 (13.3) | 13 (43.3) | 8 (26.7) | |
| 30−59 | 14 (24.1) | 15 (25.9) | 16 (27.6) | 13 (22.4) | .095 |
| 60−90 | 2 (9.1) | 8 (36.4) | 3 (13.6) | 9 (40.9) | |
| Missing | 0 | 1 | 0 | 1 | |
| Gender | |||||
| Male | 12 (25.5) | 15 (31.9) | 8 (17.0) | 12 (25.5) | |
| Female | 8 (12.9) | 13 (21.0) | 24 (38.7) | 17 (27.4) | .048 |
| Other | 0 | 0 | 0 | 0 | |
| Missing | 1 | 0 | 0 | 2 | |
| MDAS‐score | |||||
| 5−9 | 14 (31.1) | 10 (22.2) | 7 (15.6) | 14 (31.1) | |
| 10−18 | 7 (12.7) | 16 (29.1) | 20 (36.4) | 12 (21.8) | .030 |
| 19−25 | 0 (0) | 2 (18.2) | 5 (45.4) | 4 (36.4) | |
| Missing | 0 | 0 | 0 | 1 | |
Fisher's exact.
Figure 4Main categories on the timeline of the cascade of dental care with examples of factors in the categories.