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Patient history as a predictor of future treatment need? Considerations from a dataset containing over nine million courses of treatment

British Dental Journal volume 228, pages 345–350 (2020)Cite this article

Abstract

Aim It is the aim of this paper to consider whether overall patient treatment history per se and what length of patient history, matters in predicting future treatment need.

Methods This study used a data set (SN7024, available from UKDataService), consisting of treatment records for General Dental Services' (GDS) patients, this being obtained from all items of service payment records for patients treated in the GDS of England and Wales between 1990 and 2006. For the purpose of this study, the GDS dataset for patients attending in 2003 was restricted to adult patients (aged 18 or over on 31 December 1990; that is, year of birth earlier than 1973) who attended in both two-year periods 1991/2 and 2004/5. Each course of treatment was classified as 'active' (eg restoration, extraction, prosthesis) or 'not active' (eg prevention, diagnosis). Treatment costs for 2001-2005 (outcome), 2000 (one-year history), 1999-2000 (two-year history) and so on until 1991-2000 (ten-year history) were determined, and history and outcome correlated.

Results A total of 455,844 patients met the inclusion criteria, namely adults with a full history. They received 9,341,583 courses of treatment, of which 49% were classified as 'active' and 51% as 'not active'. The analysis indicated that both total costs and active treatment costs are positively correlated with their historical values, with the correlation coefficients increasing from 0.24 and 0.25 with one year of history to 0.42 and 0.44 with ten years of history. Overall, therefore, future treatment cost is correlated with past treatment costs.

Conclusions Treatment history may provide an important correlate of future dental treatment needs and the more history the better, at least up to five years. However, active treatment is the important component and should be distinguished from preventive and diagnostic treatments.

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References

  1. Worthington H V, Holloway P J, Clarkson J E, Davies R M. Predicting which adult patients will need treatment over the next year. Community Dent Oral Epidemiol 1997; 25: 273-277.

    Article  Google Scholar 

  2. Bibby B G, Shern R J (eds) Methods of Caries Prediction. A special supplement of Microbiology Abstracts - Bacteriology. Washington D.C.: IRL Press, 1978.

  3. Abernathy J R, Graves R C, Bohannan H M, Stamin J A, Greenberg B G, Disney J A. Development and application of a prediction model for dental caries. Community Dent Oral Epidemiol 1987; 15: 24-28.

    Article  Google Scholar 

  4. Fonzar F, Fonzar A, Buttolo P, Worthington H V, Esposito M. The prognosis of root canal therapy: a 10-year retrospective cohort study on 411 patients with 1175 endodontically treated teeth. Eur J Oral Implantol 2009; 2: 201-208.

  5. Nagasiri R, Chitmongkolsuk S. The influence of coronal restoration type on survival of endodontically treated teeth. Eur J Prosthodont Rest Dent 2004; 12: 171-176.

  6. Kim S. Prevalence of apical periodontitis of root-canal treated teeth and retrospective evaluation of symptom-related prognostic factors in an urban South Korean population. Oral Surg Oral Med Oral Pathol Oral Radiol Oral Endod 2010; 110: 795-799.

    Article  Google Scholar 

  7. Setzer F C, Boyer K R, Jeppson J R, Karabucak B, Kim S. Long-term prognosis of endodontically treated teeth: a retrospective analysis of preoperative factors in molars. J.Endod 2011; 37: 21-25.

    Article  Google Scholar 

  8. Alomari Q D, Khalaf M E, Al-Shawaf N M. Relative contribution of restorative treatment to tooth extraction in a teaching institution. J.Oral Rehabil 2013; 40: 464-471.

    Article  Google Scholar 

  9. Rinke S, Lange K, Roediger M, Gersdorff N. Risk factors for technical and biological complications with zirconia single crowns. Clin Oral Investig 2015; 19: 1999-2006.

    Article  Google Scholar 

  10. Scotti N, Eruli C, Comba A et al. Longevity of class 2 direct restorations in root-filled teeth: A retrospective clinical study. J.Dent 2015; 43: 499-505.

    Article  Google Scholar 

  11. Ng M C, Ong M M, Lim M P, Koh C G, Chan Y H. Tooth loss in compliant and non-compliant periodontally treated patients: 7 years after active periodontal therapy. J.Clin.Periodontol 2011; 38: 499-508.

    Article  Google Scholar 

  12. Graetz C, Schutzhold S, Plaumann A et al. Prognostic factors for the loss of molars - an 18-years retrospective cohort study. J Clin Periodontol 2015; 42: 943-950.

    Article  Google Scholar 

  13. Danniewitz B, Zeidler A, Husing J et al. Loss of molars in periodontally treated patients: results from 10 years and more after active periodontal therapy. J Clin Periodontol 2016; 43: 53-62.

    Article  Google Scholar 

  14. Pretzl B, Eickholz P, Saure D, Pfefferle T, Zeidler A, Danniewitz B. Endodontic status and retention of molars in endodontically treated patients: results after 10 years or more of supportive periodontal therapy. J Clin Periodontol 2016; 43: 1116-1123.

    Article  Google Scholar 

  15. Nibali L, Sun C, Akcali A, Meng X, Tu Y K, Donod N. A retrospective study on periodontal disease progression in private practice. J Clin Periodontol 2017; 44: 290-297.

    Article  Google Scholar 

  16. Information Centre for Health and Social Care, NHS Business Services Authority. Longitudinal Dental Treatment, 1990-2006. 2012; DOI: 10.5255/UKDA-SN-7024-1.

  17. Elderton R J, Nuttall N M. Variation among dentists in planning treatment. Br Dent J 1983; 154: 201-205.

    Article  Google Scholar 

  18. Burke F J T, Lucarotti P S K. The ultimate guide to restoration longevity in England and Wales. Part 4: resin composite restorations: time to next intervention and to extraction of the restored tooth. Br Dent J 2018; 224: 945-956.

    Article  Google Scholar 

  19. Burke F J T, Lucarotti P S K. The ultimate guide to restoration longevity in England and Wales. Part 5: crowns: time to next intervention and to extraction of the restored tooth. Br Dent J 2018;.225: 33-48.

    Article  Google Scholar 

  20. Burke F J T, Lucarotti P S K. The ultimate guide to restoration longevity in England and Wales. Part 10: key findings from a ten million restoration dataset. Br Dent J 2018; 225: 1011-1018.

    Article  Google Scholar 

Download references

Acknowledgements

The authors acknowledge the support of the Economic and Social Data Service, the Health and Social Care Information Centre and the NHS Business Services Authority for collating and releasing this valuable data resource.

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  1. University of Birmingham School of Dentistry, College of Medical and Dental Sciences, 5 Mill Pool Way, Pebble Mill, Birmingham, B5 7EG, UK

    P. Steve K. Lucarotti & F. J. Trevor Burke

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  1. P. Steve K. Lucarotti
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Correspondence to F. J. Trevor Burke.

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Lucarotti, P., Burke, F. Patient history as a predictor of future treatment need? Considerations from a dataset containing over nine million courses of treatment. Br Dent J 228, 345–350 (2020). https://doi.org/10.1038/s41415-020-1305-4

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