| Literature DB >> 31548963 |
Saurav Purbay1, Neha Kumari2, Aditi Singh Tanwar2, Azhar Malik3, Mishan Manohar Jaiswal4, Sumaiya Nezam5.
Abstract
BACKGROUND: The practical solution to handle increasing awareness toward dental treatment and cost of the dental treatment is integration of dental auxiliary into dental healthcare delivery system, and hence the objective of this study was to assess the perception of dental professionals regarding integration of dental auxiliaries into dental health delivery system in India.Entities:
Keywords: Dental auxiliary; dental profession; dentists; healthcare delivery
Year: 2019 PMID: 31548963 PMCID: PMC6753793 DOI: 10.4103/jfmpc.jfmpc_355_19
Source DB: PubMed Journal: J Family Med Prim Care ISSN: 2249-4863
Comparison of favorable and unfavorable dentists based on demographics by Chi-square test
| Characteristics | Frequency (%) | Favorable (%) | Unfavorable (%) | P | |
|---|---|---|---|---|---|
| Gender | Male | 97 (42.8%) | 38 (39.18%) | 59 (60.82%) | 0.482 |
| Female | 133 (57.8%) | 37 (27.82%) | 96 (72.18%) | ||
| Years of experience | <5 | 127 (55.22%) | 39 (30.71%) | 88 (69.29%) | 0.048* |
| 5-10 | 88 (38.26%) | 32 (36.36%) | 56 (63.64%) | ||
| >10 | 15 (6.52%) | 04 (26.67%) | 11 (73.33%) | ||
| Professional status | Undergraduate | 60 (26.08%) | 09 (15.00%) | 51 (85.00%) | 0.029* |
| Postgraduate | 70 (30.44%) | 31 (44.29%) | 39 (55.71%) | ||
| Faculty | 53 (23.04%) | 18 (33.96%) | 35 (66.04%) | ||
| Private practice | 47 (20.44%) | 17 (36.17%) | 30 (63.83%) | ||
| Location of practice | Urban | 169 (73.48%) | 58 (34.32%) | 111 (65.68%) | 0.042* |
| Periurban | 61 (26.52%) | 17 (27.87%) | 44 (72.13%) | ||
| Total | 75 (32.61%) | 155 (67.39%) | |||
*P<0.05; significant
Comparison of mean scores of perceived consequences of expanded duties of auxiliaries based on demographics by unpaired t-test
| Characteristics | Redundancy of dentists | Tasks too difficult | Training makes easier | Increased efficiency | Cost- effective | Patient’s nonacceptance | Increased services | Increased job satisfaction | Legislation |
|---|---|---|---|---|---|---|---|---|---|
| Gender | |||||||||
| Male | 4.12±1.02 | 3.73±1.80 | 3.91±2.70 | 2.49±2.10 | 4.17±0.08 | 4.23±0.07 | 2.66±1.64 | 3.26±1.14 | 2.44±1.62 |
| Female | 3.94±2.08 | 4.44±0.33 | 3.82±0.97 | 2.67±1.20 | 4.92±0.01 | 3.81±1.65 | 2.98±1.76 | 2.97±1.40 | 2.75±0.97 |
| Years of experience | |||||||||
| <5 | 4.66±1.60* | 3.61±2.67 | 3.95±1.10 | 2.59±2.56 | 3.71±0.01 | 3.27±3.01 | 2.64±1.27* | 3.82±1.08 | 2.21±2.07 |
| 5-10 | 4.21±1.12 | 3.78±2.24 | 4.34±1.96 | 2.75±0.06 | 3.82±0.18 | 3.45±0.27 | 3.41±0.09 | 3.64±1.02 | 2.62±1.59 |
| >10 | 3.62±2.18 | 3.91±0.02 | 4.21±0.21 | 3.06±1.57 | 4.76±0.02 | 4.16±1.14 | 3.09±2.53 | 3.19±0.54 | 2.72±2.56 |
| Professional status | |||||||||
| Undergraduate | 4.71±0.01 | 3.46±2.02* | 3.72±2.10 | 2.87±0.70 | 4.49±0.25 | 4.12±0.87 | 2.36±1.97 | 3.24±0.32 | 2.86±1.21 |
| Postgraduate | 3.10±2.60 | 4.56±0.09 | 3.86±0.17 | 3.26±2.06 | 4.52±0.19 | 4.02±0.42 | 3.04±1.05 | 3.27±1.58 | 2.90±0.10 |
| Faculty | 3.65±1.70 | 4.09±0.10 | 3.79±0.21 | 3.19±0.21 | 3.66±0.56 | 3.96±0.07 | 3.15±1.23 | 3.42±0.51 | 2.46±1.57 |
| Private practice | 4.47±0.23 | 2.53±1.86 | 3.44±0.30 | 2.96±2.57 | 3.73±0.24 | 3.81±0.26 | 3.46±2.59 | 3.02±0.26 | 2.53±2.86 |
| Location of practice | |||||||||
| Urban | 4.76±0.01 | 4.41±0.24 | 2.42±1.43 | 3.29±0.61 | 4.42±0.12 | 4.26±2.49 | 2.63±2.16 | 3.53±0.71 | 2.66±0.20 |
| Periurban | 3.56±1.34 | 1.97±2.44 | 4.63±0.01 | 2.44±0.27 | 4.52±0.09 | 3.82±2.76 | 2.59±1.62 | 3.61±0.65 | 2.81±1.21 |
| Total | 4.16±1.98 | 3.89±1.66 | 3.28±2.07 | 2.64±1.64 | 4.34±1.03 | 3.96±1.80 | 2.92±2.12 | 3.24±1.49 | 2.63±1.92 |
*P<0.05; significant