| Literature DB >> 27439519 |
Mohammed Jawad1, Sam Ingram2, Imran Choudhury3, Anne Airebamen4, Kostakis Christodoulou4, Amanda Wilson Sharma4.
Abstract
BACKGROUND: This study aimed to evaluate whether television-based dental health promotion initiatives in General Practice waiting rooms would increase patients' knowledge of and intentions to seek dental services.Entities:
Keywords: Audio-visual; Family health; General practice; Health promotion; Television
Mesh:
Year: 2016 PMID: 27439519 PMCID: PMC4955206 DOI: 10.1186/s12903-016-0252-6
Source DB: PubMed Journal: BMC Oral Health ISSN: 1472-6831 Impact factor: 2.757
Sample characteristics, and prevalence and predictors of intention to contact a dentist and intention to contact another health service by sociodemographic and health variables
| Characteristic | Total sample | Knows how to contact NHS dentist a | Knows how to contact emergency dentist b | Intends to contact a dentist c | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| N | % | N | % | AOR | 95 % CI | n | % | AOR | 95 % CI | n | % | AOR | 95 % CI | ||
| Total | 522 | 48.0 | 438 | 35.1 | 244 | 15.2 | |||||||||
| Age (years) | 29 or under | 454 | 21.4 | 111 | 50.0 | 1.00 | Ref. | 76 | 28.8 | 1.00 | Ref. | 54 | 15.9 | 1.00 | Ref. |
| 30 to 39 | 566 | 26.7 | 130 | 45.8 | 0.78 | 0.48, 1.27 | 117 | 36.0 | 1.84 | 1.14, 2.97* | 72 | 18.6 | 1.32 | 0.79, 2.21 | |
| 40 to 49 | 471 | 22.2 | 103 | 47.7 | 0.75 | 0.44, 1.29 | 105 | 42.9 | 2.11 | 1.27, 3.50** | 44 | 13.2 | 0.59 | 0.32, 1.06 | |
| 50 to 59 | 311 | 14.7 | 80 | 52.3 | 1.02 | 0.57, 1.82 | 67 | 43.5 | 2.06 | 1.13, 3.74* | 42 | 19.3 | 0.97 | 0.53, 1.79 | |
| 60 or over | 321 | 15.1 | 63 | 47.7 | 1.06 | 0.56, 2.00 | 41 | 23.7 | 1.35 | 0.71, 2.55 | 24 | 11.1 | 0.64 | 0.30, 1.36 | |
| Gender | Female | 1243 | 58.8 | 267 | 46.7 | 1.00 | Ref. | 218 | 33.6 | 1.00 | Ref. | 112 | 13.1 | 1.00 | Ref. |
| Male | 870 | 41.2 | 208 | 48.7 | 1.19 | 0.84, 1.70 | 183 | 36.3 | 1.37 | 0.96, 1.94 | 114 | 18.0 | 1.66 | 1.13, 2.44* | |
| Ethnicity | White | 608 | 28.6 | 164 | 53.4 | 1.00 | Ref. | 121 | 35.9 | 1.00 | Ref. | 56 | 13.1 | 1.00 | Ref. |
| South Asian | 726 | 34.2 | 134 | 41.7 | 0.96 | 0.61, 1.51 | 126 | 32.1 | 1.11 | 0.70, 1.75 | 71 | 13.5 | 0.78 | 0.46, 1.34 | |
| Black | 499 | 23.5 | 120 | 48.8 | 1.06 | 0.66, 1.69 | 93 | 33.2 | 0.83 | 0.52, 1.33 | 73 | 21.0 | 1.65 | 0.99, 2.75 | |
| Mixed/other | 291 | 13.7 | 67 | 48.9 | 0.99 | 0.57, 1.74 | 69 | 44.0 | 1.46 | 0.83, 2.56 | 35 | 17.7 | 0.92 | 0.49, 1.73 | |
| Education | Primary | 68 | 3.3 | 12 | 42.9 | 1.00 | Ref. | 5 | 14.3 | 1.00 | Ref. | 8 | 16.7 | 1.00 | Ref. |
| Secondary | 392 | 19.4 | 72 | 41.6 | 0.50 | 0.15, 1.64 | 62 | 27.7 | 1.76 | 0.49, 6.27 | 28 | 10.6 | 0.36 | 0.12, 1.10 | |
| College | 770 | 37.9 | 208 | 51.9 | 0.75 | 0.24, 2.39 | 184 | 41.4 | 4.12 | 1.18, 14.36* | 100 | 17.5 | 0.67 | 0.24, 1.91 | |
| University | 751 | 36.9 | 158 | 46.8 | 0.62 | 0.19, 1.99 | 137 | 35.5 | 4.37 | 1.24, 15.42* | 83 | 15.6 | 0.76 | 0.27, 2.16 | |
| Other | 50 | 2.5 | 8 | 33.3 | 0.21 | 0.03, 1.33 | 7 | 25.0 | 1.22 | 0.18, 8.09 | 7 | 19.4 | 0.47 | 0.09, 2.60 | |
| Chronic disease | No | 1488 | 72.0 | 343 | 47.9 | 1.00 | Ref. | 272 | 33.9 | 1.00 | Ref. | 146 | 13.9 | 1.00 | Ref. |
| Yes | 580 | 28.1 | 124 | 47.5 | 1.04 | 0.69, 1.57 | 121 | 37.2 | 1.74 | 1.17, 2.59** | 72 | 17.8 | 1.29 | 0.84, 2.00 | |
| Smoking status | Non-smoker | 1515 | 70.6 | 324 | 47.9 | 1.00 | Ref. | 281 | 34.9 | 1.00 | Ref. | 148 | 13.9 | 1.00 | Ref. |
| Ex-smoker | 296 | 13.8 | 56 | 40.3 | 0.58 | 0.34, 1.00* | 45 | 30.4 | 0.60 | 0.35, 1.03 | 28 | 14.1 | 0.80 | 0.43, 1.51 | |
| Smoker | 336 | 15.7 | 97 | 51.9 | 1.23 | 0.79, 1.91 | 72 | 35.6 | 0.88 | 0.56, 1.38 | 48 | 19.0 | 1.20 | 0.74, 1.93 | |
| Visited dentist in last two years | No | 559 | 24.7 | 93 | 28.2 | 1.00 | Ref. | 85 | 23.7 | 1.00 | Ref. | 61 | 13.8 | 1.00 | Ref. |
| Yes | 1707 | 75.3 | 416 | 56.8 | 3.56 | 2.39, 5.29 | 344 | 40.0 | 2.57 | 1.72, 3.85** | 175 | 15.5 | 1.34 | 0.85, 2.09 | |
a N = 746, b N = 882. c N = 1188; *p < 0.05, **p < 0.01
Observations with missing data not removed prior to analysis. Model adjusted for patients’ waiting time, whether patients could hear the Life Channel, and model accounts for clustering around GP Practices
Other measures of evaluation of the life channel
| Measure | Agree or strongly agreea | |
|---|---|---|
| % |
| |
| I have learned something new about improving my health or wellbeing from seeing the Life Channel | 54.5 | 1,194 |
| I have learned something new about improving someone else’s health or wellbeing from seeing the Life Channel | 52.4 | 1,126 |
| I intend to contact another service because of the Life Channel | 31.6 | 671 |
| I will tell someone else about what I have seen on the Life Channel | 50.7 | 1,050 |
| I think that seeing the Life Channel will improve my own health and wellbeing | 57.7 | 1,156 |
| I would like to see the Life Channel being broadcast in a language other than English | 43.0 | 908 |
| While I’m waiting for my appointment I prefer reading magazines, leaflets and posters to watching TV | 48.8 | 1,005 |
| I like having the Life Channel on in the GP surgery waiting area | 74.7 | 1,524 |
aAsked on a five-point Likert scale: strongly disagree, disagree, neither agree or disagree, agree, and strongly agree