Benjamin, R. M. (2010). Oral health: The silent epidemic. Public Health Reports, 125(2), 158–159. https://doi.org/10.1177/003335491012500202.
Article
PubMed
PubMed Central
Google Scholar
Majewski, R. F., Snyder, C. W., & Bernat, J. E. (1988). Dental emergencies presenting to a children's hospital. ASDC Journal of Dentistry for Children, 55(5), 339–342.
CAS
PubMed
Google Scholar
Schuch, H. S., Dos Santos Costa, F., Torriani, D. D., Demarco, F. F., & Goettems, M. L. (2015). Oral health-related quality of life of schoolchildren: Impact of clinical and psychosocial variables. International Journal of Paediatric Dentistry, 25(5), 358–365. https://doi.org/10.1111/ipd.12118.
Article
PubMed
Google Scholar
Pau, A., Baxevanos, K., & Croucher, R. (2007). Family structure is associated with oral pain in 12-year-old Greek schoolchildren. International Journal of Paediatric Dentistry, 17(5), 345–351. https://doi.org/10.1111/j.1365-263X.2007.00842.x.
Article
PubMed
Google Scholar
Krisdapong, S., Sheiham, A., & Tsakos, G. (2009). Oral health-related quality of life of 12- and 15-year-old Thai children: Findings from a national survey. Community Dentistry & Oral Epidemiology, 37(6), 509–517.
Article
Google Scholar
Miller, J., Vaughan-Williams, E., Furlong, R., & Harrison, L. (1982). Dental caries and children's weights. Journal of Epidemiology and Community Health, 36(1), 49. https://doi.org/10.1136/jech.36.1.49.
Article
CAS
PubMed
PubMed Central
Google Scholar
Acs, G., Shulman, R., Ng, M. W., & Chussid, S. (1999). The effect of dental rehabilitation on the body weight of children with early childhood caries. Pediatric Dentistry, 21(2), 109–113.
CAS
PubMed
Google Scholar
NHS Digital (2019). Hospital Admitted Patient Care and Adult Critical Care Activity. NHS Digital. https://digital.nhs.uk/data-and-information/publications/statistical/hospital-admitted-patient-care-activity/2018-19. Accessed 11 Nov 2019.
NHS Digital (2016). Hospital Admitted patient Care Activity, 2015–16. NHS Digital. https://digital.nhs.uk/data-and-information/publications/statistical/hospital-admitted-patient-care-activity/2015-16. Accessed 5 Sept 2018.
Hettiarachchi, R. M., Kularatna, S., Downes, M. J., Byrnes, J., Kroon, J., Lalloo, R., et al. (2017). The cost-effectiveness of oral health interventions: A systematic review of cost- utility analyses. Community Dentistry and Oral Epidemiology. https://doi.org/10.1111/cdoe.12336.
Tonmukayakul, U., Calache, H., Clark, R., Wasiak, J., & Faggion, C. M. (2015). Systematic review and quality appraisal of economic evaluation publications in dentistry. Journal of Dental Research, 94(10), 1348–1354. https://doi.org/10.1177/0022034515589958.
Article
CAS
PubMed
Google Scholar
Rogers, H. J., Rodd, H. D., Vermaire, J. H., Stevens, K., Knapp, R., El Yousfi, S., et al. (2019). A systematic review of the quality and scope of economic evaluations in child oral health research. BMC Oral Health, 19(1), 132. https://doi.org/10.1186/s12903-019-0825-2.
Article
CAS
PubMed
PubMed Central
Google Scholar
Lord, J., Longworth, L., Singh, J., Onyimadu, O., Fricke, J., Bayliss, S., et al. (2015). Oral health guidance – Economic analysis of oral health promotion approaches for dental teams Birmingham & Brunel Consortium: External assessment Centre.
Google Scholar
NICE (2013). Guide to the methods of technology appraisal. London: National Institute of Health and Care Excellence.
Google Scholar
Foster Page, L. A., Beckett, D. M., Cameron, C. M., & Thomson, W. M. (2015). Can the child health utility 9D measure be useful in oral health research? International Journal of Paediatric Dentistry, 25(5), 349–357. https://doi.org/10.1111/ipd.12177.
Article
PubMed
Google Scholar
Chestnutt, I. G., Hutchings, S., Playle, R., Trimmer, S. M., Fitzsimmons, D., Aawar, N., et al. (2017). Seal or varnish? A randomised controlled trial to determine the relative cost and effectiveness of pit and fissure sealant and fluoride varnish in preventing dental decay. Health Technology Assessment, 21(21). https://doi.org/10.3310/hta21210.
Gilchrist, F., Rodd, H. D., Deery, C., & Marshman, Z. (2018). Development and evaluation of CARIES-QC: A caries-specific measure of quality of life for children. BMC Oral Health, 18(1), 202. https://doi.org/10.1186/s12903-018-0662-8.
Article
PubMed
PubMed Central
Google Scholar
Gilchrist, F., Rodd, H., Deery, C., & Marshman, Z. (2014). Assessment of the quality of measures of child oral health-related quality of life. Acta Veterinaria Scandinavica, 14(1), 40. https://doi.org/10.1186/1472-6831-14-40.
Article
Google Scholar
McCabe, C., Stevens, K., Roberts, J., & Brazier, J. (2005). Health state values for the HUI 2 descriptive system: Results from a UK survey. Health Economics, 14(3), 231–244. https://doi.org/10.1002/hec.925.
Article
PubMed
Google Scholar
Young, T. A., Yang, Y., Brazier, J. E., & Tsuchiya, A. (2011). The use of Rasch analysis in reducing a large condition-specific instrument for preference valuation: The case of moving from AQLQ to AQL-5D. Medical Decision Making, 31(1), 195–210. https://doi.org/10.1177/0272989X10364846.
Article
PubMed
Google Scholar
Mulhern, B., Rowen, D., Brazier, J., Smith, S., Romeo, R., Tait, R., et al. (2013). Development of DEMQOL-U and DEMQOL-PROXY-U: Generation of preference-based indices from DEMQOL and DEMQOL-PROXY for use in economic evaluation. Health Technology Assessment, 17(5), v-xv, 1–v-xv140. https://doi.org/10.3310/hta17050.
Article
Google Scholar
King, M. T., Costa, D. S., Aaronson, N. K., Brazier, J. E., Cella, D. F., Fayers, P. M., et al. (2016). QLU-C10D: A health state classification system for a multi-attribute utility measure based on the EORTC QLQ-C30. Quality of Life Research, 25(3), 625–636. https://doi.org/10.1007/s11136-015-1217-y.
Article
CAS
PubMed
Google Scholar
Mulhern, B., Labeit, A., Rowen, D., Knowles, E., Meadows, K., Elliott, J., et al. (2017). Developing preference-based measures for diabetes: DHP-3D and DHP-5D. Diabetic Medicine, 34(9), 1264–1275. https://doi.org/10.1111/dme.13377.
Article
CAS
PubMed
Google Scholar
Gilchrist, F. (2015). Development of a child-centred, caries-specific measure of oral health-related quality of life. University of Sheffield, 2015.
Marshman, Z., Gupta, E., Baker, S. R., Robinson, P. G., Owens, J., Rodd, H. D., et al. (2015). Seen and heard: Towards child participation in dental research. International Journal of Paediatric Dentistry, 25(5), 375–382. https://doi.org/10.1111/ipd.12179.
Article
PubMed
Google Scholar
Index of Multiple Deprivation (2015). Index of Multiple Deprivation. http://opendatacommunities.org/resource?uri=http%3A%2F%2Fopendatacommunities.org%2Fdata%2Fsocietal-wellbeing%2Fdeprivation%2Fimd-score-2010. Accessed 5 Sept 2018.
Young, T., Yang, Y., Brazier, J., Tsuchiya, A., & Coyne, K. (2009). The first stage of developing preference-based measures: Constructing a health-state classification using Rasch analysis. Quality of Life Research, 18(2), 253–265. https://doi.org/10.1007/s11136-008-9428-0.
Article
PubMed
Google Scholar
Schafer, J. L. (1999). Multiple imputation: a primer. Statistical Methods in Medical Research, 8(1), 3–15. https://doi.org/10.1177/096228029900800102.
Article
CAS
PubMed
Google Scholar
Terwee, C. B., Bot, S. D., de Boer, M. R., van der Windt, D. A., Knol, D. L., Dekker, J., et al. (2007). Quality criteria were proposed for measurement properties of health status questionnaires. Journal of Clinical Epidemiology, 60(1), 34–42.
Article
Google Scholar
Angst, F., Verra, M. L., Lehmann, S., & Aeschlimann, A. (2008). Responsiveness of five condition-specific and generic outcome assessment instruments for chronic pain. BMC Medical Research Methodology, 8(1), 26. https://doi.org/10.1186/1471-2288-8-26.
Article
PubMed
PubMed Central
Google Scholar
Norman, G. R. (2014). Biostatistics: The Bare Essentials (4th ed.) Shelton, Connecticut: People's Medical House-USA.
Cohen, J. (1992). A power primer. Psychological Bulletin, 112, 155–159.
Article
CAS
Google Scholar
Durlak, J. A. (2009). How to select, calculate, and interpret effect sizes. Journal of Pediatric Psychology, 34(9), 917–928. https://doi.org/10.1093/jpepsy/jsp004.
Article
PubMed
Google Scholar
Willis, G. B. (2005). Cognitive interviewing [electronic resource] : A tool for improving questionnaire design. Thousand Oaks: SAGE Publications.
Book
Google Scholar
Pitts, N., Chadwick, B., & Anderson, T. (2015). Children’s Dental Health Survey 2013. Report 2: Dental disease and damage in children, England, Wales and Northern Ireland. NHS Digital. https://digital.nhs.uk/data-and-information/publications/statistical/children-s-dental-health-survey/child-dental-health-survey-2013-england-wales-and-northern-ireland. Accessed 11 Nov 2019.
Klein, H., & Palmer, C. E. (1940). Community economic status and the dental problem of school children. [article]. Public Health Reports, 55(5), 187–205. https://doi.org/10.2307/4583167.
Article
Google Scholar
Christensen, K., Makransky, G., & Horton, M. (2016). Critical values for yens Q3: Identification of local dependence in the Rasch model using residual correlations. Applied Psychological Measurement, 41. https://doi.org/10.1177/0146621616677520.
Gilchrist, F., Marshman, Z., Deery, C., & Rodd, H. D. (2015). The impact of dental caries on children and young people: What they have to say? International Journal of Paediatric Dentistry, 25(5), 327–338. https://doi.org/10.1111/ipd.12186.
Article
PubMed
Google Scholar
Tickle, M., Milsom, K., King, D., Kearney-Mitchell, P., & Blinkhorn, A. (2002). The fate of the carious primary teeth of children who regularly attend the general dental service. British Dental Journal, 192(4), 219. https://doi.org/10.1038/sj.bdj.4801338.
Article
CAS
PubMed
Google Scholar
Ratcliffe, J., Chen, G., Stevens, K., Bradley, S., Couzner, L., Brazier, J., et al. (2015). Valuing child health utility 9D health states with Young adults: Insights from a time trade off study. Appl Health Econ Health Policy. 13(5):485-92. https://doi.org/10.1007/s40258-015-0184-3.
Ratcliffe, J., Couzner, L., Flynn, T., Sawyer, M., Stevens, K., Brazier, J., et al. (2011). Valuing child health utility 9D health states with a young adolescent sample. Applied Health Economics and Health Policy, 9(1), 15–27. https://doi.org/10.2165/11536960-000000000-00000.
Article
PubMed
Google Scholar
Torrance, W. G., Feeny, H. D., Furlong, J. W., Barr, D. R., Zhang, D. Y., & Wang, D. Q. (1996). Multiattribute utility function for a comprehensive health status classification system: Health utilities index mark 2. Medical Care, 34(7), 702–722. https://doi.org/10.1097/00005650-199607000-00004.
Article
CAS
PubMed
Google Scholar
Wille, N., Badia, X., Bonsel, G., Burström, K., Cavrini, G., Devlin, N., et al. (2010). Development of the EQ-5D-Y: A child-friendly version of the EQ-5D. Quality of Life Research, 19(6), 875–886. https://doi.org/10.1007/s11136-010-9648-y.
Article
PubMed
PubMed Central
Google Scholar
Stevens, K. J., Brazier, J. E., McKenna, S. P., Doward, L. C., & Cork, M. J. (2005). The development of a preference-based measure of health in children with atopic dermatitis. The British Journal of Dermatology, 153(2), 372–377. https://doi.org/10.1111/j.1365-2133.2005.06736.x.
Article
CAS
PubMed
Google Scholar
Chiou, C.-F., Weaver, M. R., Bell, M. A., Lee, T. A., & Krieger, J. W. (2005). Development of the multi-attribute pediatric asthma health outcome measure (PAHOM). International Journal for Quality in Health Care, 17(1), 23–30. https://doi.org/10.1093/intqhc/mzh086.
Article
PubMed
Google Scholar
Stevens, K. (2009). Developing a descriptive system for a new preference based measure of health related quality of life for children. Quality of Life Research,18(8):1105–13. https://doi.org/10.1007/s11136-009-9524-9.
Sutton, E., & Coast, J. (2014). Development of a supportive care measure for economic evaluation of end-of-life care using qualitative methods. Palliative Medicine, 28(2), 151–157. https://doi.org/10.1177/0269216313489368.
Article
PubMed
Google Scholar
Canaway, A., Al-Janabi, H., Kinghorn, P., Bailey, C., & Coast, J. (2017). Development of a measure (ICECAP-close person measure) through qualitative methods to capture the benefits of end-of-life care to those close to the dying for use in economic evaluation. Palliative Medicine, 31(1), 53–62. https://doi.org/10.1177/0269216316650616.
Article
PubMed
Google Scholar
Schwendicke, F., Dörfer, C. E., Schlattmann, P., Page, L. F., Thomson, W. M., & Paris, S. (2015). Socioeconomic inequality and caries: A systematic review and meta-analysis. Journal of Dental Research, 94(1):10–18. https://doi.org/10.1177/0022034514557546.
Slade, G. D., & Sanders, A. E. (2017). Two decades of persisting income-disparities in dental caries among U.S. children and adolescents. Journal of Public Health Dentistry. https://doi.org/10.1111/jphd.12261.
McTaggart-Cowan, H. M., Brazier, J. E., & Tsuchiya, A. (2010). Clustering Rasch results: A novel method for developing rheumatoid arthritis states for use in valuation studies. Value in Health, 13(6), 787–795. https://doi.org/10.1111/j.1524-4733.2010.00757.x.
Article
PubMed
Google Scholar
Tesio, L. (2003). Measuring behaviours and perceptions: Rasch analysis as a tool for rehabilitation research. Journal Rehabilitation Medicine, 35(3), 105–115. https://doi.org/10.1080/16501970310010448.
Article
Google Scholar