Development of a Minimum Data Set (MDS) for dental implants registry
Abstract
Objectives: Registries are powerful tools for the collection and distribution of valid and reliable data. The initial step in health information management is to design a minimum data set that can improve the collection of high-quality data from the registry. The present pilot study aimed to determine the optimal minimum data set for dental implants to effectively utilize at Tehran University of Medical Sciences, Tehran, Iran.
Materials and Methods: This descriptive cross-sectional study was conducted in 2019 at Tehran University of Medical Sciences. A minimum data set checklist was developed based on our previous systematic review. The content validity of the minimum data set was approved by the recruited experts and the final minimum data set was established using the Delphi technique.
Results: The minimum data set for dental implants consists of two separate sections - administrative and clinical data. The administrative portion includes two main segments: patient demographic data and clinic data, consisting of 12 data elements. The clinical part includes five main segments (patient clinical data, implant data, implant complications, implant loss, and implant follow-up), and contains 96 data elements.
Conclusion: This study suggests a minimum set of data for dental implants that can aid in efficient management of information, facilitate evidence-based decision-making, and enable high-quality clinical research, evaluation of treatment results, monitoring, and benchmarking of care.
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3. Simonis P, Dufour T, Tenenbaum H. Long-term implant survival and success: a 10-16-year follow-up of non-submerged dental implants. Clin Oral Implants Res. 2010 Jul;21(7):772-7.
4. Jepsen S, Berglundh T, Genco R, Aass AM, Demirel K, Derks J, et al. Primary prevention of peri-implantitis: managing peri-implant mucositis. J Clin Periodontol. 2015 Apr;42 Suppl 16:S152-7.
5. Elani HW, Starr JR, Da Silva JD, Gallucci GO. Trends in Dental Implant Use in the U.S., 1999-2016, and Projections to 2026. J Dent Res. 2018 Dec;97(13):1424-1430.
6. Manor Y, Simon R, Haim D, Garfunkel A, Moses O. Dental implants in medically complex patients-a retrospective study. Clin Oral Investig. 2017 Mar;21(2):701-708.
7. Derks J, Schaller D, Håkansson J, Wennström JL, Tomasi C, Berglundh T. Effectiveness of Implant Therapy Analyzed in a Swedish Population: Prevalence of Peri-implantitis. J Dent Res. 2016 Jan;95(1):43-9.
8. Smeets R, Henningsen A, Jung O, Heiland M, Hammächer C, Stein JM. Definition, etiology, prevention and treatment of peri-implantitis--a review. Head Face Med. 2014 Sep 3;10:34.
9. Salvi GE, Cosgarea R, Sculean A. Prevalence and Mechanisms of Peri-implant Diseases. J Dent Res. 2017 Jan;96(1):31-37.
10. Klinge B, Lundström M, Rosén M, Bertl K, Klinge A, Stavropoulos A. Dental Implant Quality Register-A possible tool to further improve implant treatment and outcome. Clin Oral Implants Res. 2018 Oct;29 Suppl 18:145-151.
11. Meijer HJ, Raghoebar GM. Quality of reporting of descriptive studies in implant dentistry. Critical aspects in design, outcome assessment and clinical relevance. J Clin Periodontol. 2012 Feb;39 Suppl 12:108-13.
12. Jemt T. Implant Survival in the Edentulous Jaw-30 Years of Experience. Part I: A Retro-Prospective Multivariate Regression Analysis of Overall Implant Failure in 4,585 Consecutively Treated Arches. Int J Prosthodont. 2018 Sep/Oct;31(5):425-435.
13. Kordbacheh Changi K, Finkelstein J, Papapanou PN. Peri-implantitis prevalence, incidence rate, and risk factors: A study of electronic health records at a U.S. dental school. Clin Oral Implants Res. 2019 Apr;30(4):306-314.
14. Weyant RJ, Burt BA. An assessment of survival rates and within-patient clustering of failures for endosseous oral implants. J Dent Res. 1993 Jan;72(1):2-8.
15. Carr AB, Revuru VS, Lohse CM. Association of Systemic Conditions with Dental Implant Failures in 6,384 Patients During a 31-Year Follow-up Period. Int J Oral Maxillofac Implants. 2017 Sep/Oct;32(5):1153-1161.
16. Starr CB, Maksoud MA. Implant treatment in an urban general dentistry residency program: a 7-year retrospective study. J Oral Implantol. 2006;32(3):142-7.
17. Becker W, Hujoel P, Becker BE, Wohrle P. Survival rates and bone level changes around porous oxide-coated implants (TiUnite™). Clin Implant Dent Relat Res. 2013 Oct;15(5):654-60.
18. Arlin ML. Analysis of 435 screw-vent dental implants placed in 161 patients: software enhancement of clinical evaluation. Implant Dent. 2002;11(1):58-66.
19. Krebs M, Schmenger K, Neumann K, Weigl P, Moser W, Nentwig GH. Long-term evaluation of ANKYLOS® dental implants, part i: 20-year life table analysis of a longitudinal study of more than 12,500 implants. Clin Implant Dent Relat Res. 2015 Jan;17 Suppl 1:e275-86.
20. Antalainen AK, Helminen M, Forss H, Sándor GK, Wolff J. Assessment of removed dental implants in Finland from 1994 to 2012. Int J Oral Maxillofac Implants. 2013 Nov-Dec;28(6):1612-8.
21. Guo Q, Lalji R, Le AV, Judge RB, Bailey D, Thomson W, et al. Survival rates and complication types for single implants provided at the Melbourne Dental School. Aust Dent J. 2015 Sep;60(3):353-61.
22. Park SH, Song YW, Sanz-Martín I, Cha JK, Lee JS, Jung UW. Clinical benefits of ridge preservation for implant placement compared to natural healing in maxillary teeth: A retrospective study. J Clin Periodontol. 2020 Mar;47(3):382-391.
23. Mandavia R, Knight A, Phillips J, Mossialos E, Littlejohns P, Schilder A. What are the essential features of a successful surgical registry? a systematic review. BMJ Open. 2017 Sep 24;7(9):e017373.
24. World Health Organisation: Improving Data Quality: A Guide for Developing Countries. 2003, Geneva: WHO Press.
25. Kowal PR, Wolfson LJ, Dowd JE. Creating a minimum data set on ageing in sub-Saharan Africa. South Afr J Gerontol. 2000 Oct 1;9(2):18-23.
26. Kipsaina C, Ozanne-Smith J, Routley V. The WHO injury surveillance guidelines: a systematic review of the non-fatal guidelines' utilization, efficacy and effectiveness. Public Health. 2015 Oct;129(10):1406-28.
27. Poss JW, Jutan NM, Hirdes JP, Fries BE, Morris JN, Teare GF, et al. A review of evidence on the reliability and validity of Minimum Data Set data. Healthc Manage Forum. 2008 Spring;21(1):33-9.
28. Kiani M, Sheikhazadi A. A five-year survey for dental malpractice claims in Tehran, Iran. J Forensic Leg Med. 2009 Feb;16(2):76-82.
29. Naemi R, Barikani HR, Shahmoradi L. Dental implant quality registries and databases: A systematic review. J Educ Health Promot. 2021 Jun 30;10:214.
30. Lawshe CH. A quantitative approach to content validity. Pers Psychol. 1975;28:563–75.
31. Farrell P, Scherer K. The Delphi technique as a method for selecting criteria to evaluate nursing care. Nurs Pap. 1983 Spring;15(1):51-60.
32. Cramer CK, Klasser GD, Epstein JB, Sheps SB. The Delphi process in dental research. J Evid Based Dent Pract. 2008 Dec;8(4):211-20.
33. Ahmadi M, Mohammadi A, Chraghbaigi R, Fathi T, Shojaee Baghini M. Developing a minimum data set of the information management system for orthopedic injuries in iran. Iran Red Crescent Med J. 2014 Jul;16(7):e17020.
34. Ahmadi M, Alipour J, Mohammadi A, Khorami F. Development a minimum data set of the information management system for burns. Burns. 2015 Aug;41(5):1092-9.
35. Damanabi S, Abdolnejad S, Karimi G. Suggested Minimum Data Set for Speech Therapy Centers Affiliated to Tabriz University of Medical Sciences. Acta Inform Med. 2015 Aug;23(4):243-7.
36. International Organization for Standardization. “Minimal dental implant data set for clinical use”. ISO 16498:2013(en). Available at: https://www.iso.org/obp/ui/#iso:std:iso:16498:ed-1:v1:en/Accessed November 6, 2019.
37. Krysinska K, Sachdev PS, Breitner J, Kivipelto M, Kukull W, Brodaty H. Dementia registries around the globe and their applications: A systematic review. Alzheimers Dement. 2017 Sep;13(9):1031-1047.
38. Hoben M, Poss JW, Norton PG, Estabrooks CA. Oral/dental items in the resident assessment instrument - minimum Data Set 2.0 lack validity: results of a retrospective, longitudinal validation study. Popul Health Metr. 2016 Oct 21;14:36.
39. Ireland RS, Jenner AM, Williams MJ, Tickle M. A clinical minimum data set for primary dental care. Br Dent J. 2001 Jun 23;190(12):663-7.
40. Pill J. The Delphi method: substance, context, a critique and an annotated bibliography. Socioecon Plann Sci. 1971 Feb;5(1):57-71.
2. Gajendrareddy P, Elangovan S, Rampa S, Allareddy V, Lee MK, Nalliah RP, et al. An overview of characteristics of registered studies on dental implants. J Evid Based Dent Pract. 2014 Sep;14(3):111-7.
3. Simonis P, Dufour T, Tenenbaum H. Long-term implant survival and success: a 10-16-year follow-up of non-submerged dental implants. Clin Oral Implants Res. 2010 Jul;21(7):772-7.
4. Jepsen S, Berglundh T, Genco R, Aass AM, Demirel K, Derks J, et al. Primary prevention of peri-implantitis: managing peri-implant mucositis. J Clin Periodontol. 2015 Apr;42 Suppl 16:S152-7.
5. Elani HW, Starr JR, Da Silva JD, Gallucci GO. Trends in Dental Implant Use in the U.S., 1999-2016, and Projections to 2026. J Dent Res. 2018 Dec;97(13):1424-1430.
6. Manor Y, Simon R, Haim D, Garfunkel A, Moses O. Dental implants in medically complex patients-a retrospective study. Clin Oral Investig. 2017 Mar;21(2):701-708.
7. Derks J, Schaller D, Håkansson J, Wennström JL, Tomasi C, Berglundh T. Effectiveness of Implant Therapy Analyzed in a Swedish Population: Prevalence of Peri-implantitis. J Dent Res. 2016 Jan;95(1):43-9.
8. Smeets R, Henningsen A, Jung O, Heiland M, Hammächer C, Stein JM. Definition, etiology, prevention and treatment of peri-implantitis--a review. Head Face Med. 2014 Sep 3;10:34.
9. Salvi GE, Cosgarea R, Sculean A. Prevalence and Mechanisms of Peri-implant Diseases. J Dent Res. 2017 Jan;96(1):31-37.
10. Klinge B, Lundström M, Rosén M, Bertl K, Klinge A, Stavropoulos A. Dental Implant Quality Register-A possible tool to further improve implant treatment and outcome. Clin Oral Implants Res. 2018 Oct;29 Suppl 18:145-151.
11. Meijer HJ, Raghoebar GM. Quality of reporting of descriptive studies in implant dentistry. Critical aspects in design, outcome assessment and clinical relevance. J Clin Periodontol. 2012 Feb;39 Suppl 12:108-13.
12. Jemt T. Implant Survival in the Edentulous Jaw-30 Years of Experience. Part I: A Retro-Prospective Multivariate Regression Analysis of Overall Implant Failure in 4,585 Consecutively Treated Arches. Int J Prosthodont. 2018 Sep/Oct;31(5):425-435.
13. Kordbacheh Changi K, Finkelstein J, Papapanou PN. Peri-implantitis prevalence, incidence rate, and risk factors: A study of electronic health records at a U.S. dental school. Clin Oral Implants Res. 2019 Apr;30(4):306-314.
14. Weyant RJ, Burt BA. An assessment of survival rates and within-patient clustering of failures for endosseous oral implants. J Dent Res. 1993 Jan;72(1):2-8.
15. Carr AB, Revuru VS, Lohse CM. Association of Systemic Conditions with Dental Implant Failures in 6,384 Patients During a 31-Year Follow-up Period. Int J Oral Maxillofac Implants. 2017 Sep/Oct;32(5):1153-1161.
16. Starr CB, Maksoud MA. Implant treatment in an urban general dentistry residency program: a 7-year retrospective study. J Oral Implantol. 2006;32(3):142-7.
17. Becker W, Hujoel P, Becker BE, Wohrle P. Survival rates and bone level changes around porous oxide-coated implants (TiUnite™). Clin Implant Dent Relat Res. 2013 Oct;15(5):654-60.
18. Arlin ML. Analysis of 435 screw-vent dental implants placed in 161 patients: software enhancement of clinical evaluation. Implant Dent. 2002;11(1):58-66.
19. Krebs M, Schmenger K, Neumann K, Weigl P, Moser W, Nentwig GH. Long-term evaluation of ANKYLOS® dental implants, part i: 20-year life table analysis of a longitudinal study of more than 12,500 implants. Clin Implant Dent Relat Res. 2015 Jan;17 Suppl 1:e275-86.
20. Antalainen AK, Helminen M, Forss H, Sándor GK, Wolff J. Assessment of removed dental implants in Finland from 1994 to 2012. Int J Oral Maxillofac Implants. 2013 Nov-Dec;28(6):1612-8.
21. Guo Q, Lalji R, Le AV, Judge RB, Bailey D, Thomson W, et al. Survival rates and complication types for single implants provided at the Melbourne Dental School. Aust Dent J. 2015 Sep;60(3):353-61.
22. Park SH, Song YW, Sanz-Martín I, Cha JK, Lee JS, Jung UW. Clinical benefits of ridge preservation for implant placement compared to natural healing in maxillary teeth: A retrospective study. J Clin Periodontol. 2020 Mar;47(3):382-391.
23. Mandavia R, Knight A, Phillips J, Mossialos E, Littlejohns P, Schilder A. What are the essential features of a successful surgical registry? a systematic review. BMJ Open. 2017 Sep 24;7(9):e017373.
24. World Health Organisation: Improving Data Quality: A Guide for Developing Countries. 2003, Geneva: WHO Press.
25. Kowal PR, Wolfson LJ, Dowd JE. Creating a minimum data set on ageing in sub-Saharan Africa. South Afr J Gerontol. 2000 Oct 1;9(2):18-23.
26. Kipsaina C, Ozanne-Smith J, Routley V. The WHO injury surveillance guidelines: a systematic review of the non-fatal guidelines' utilization, efficacy and effectiveness. Public Health. 2015 Oct;129(10):1406-28.
27. Poss JW, Jutan NM, Hirdes JP, Fries BE, Morris JN, Teare GF, et al. A review of evidence on the reliability and validity of Minimum Data Set data. Healthc Manage Forum. 2008 Spring;21(1):33-9.
28. Kiani M, Sheikhazadi A. A five-year survey for dental malpractice claims in Tehran, Iran. J Forensic Leg Med. 2009 Feb;16(2):76-82.
29. Naemi R, Barikani HR, Shahmoradi L. Dental implant quality registries and databases: A systematic review. J Educ Health Promot. 2021 Jun 30;10:214.
30. Lawshe CH. A quantitative approach to content validity. Pers Psychol. 1975;28:563–75.
31. Farrell P, Scherer K. The Delphi technique as a method for selecting criteria to evaluate nursing care. Nurs Pap. 1983 Spring;15(1):51-60.
32. Cramer CK, Klasser GD, Epstein JB, Sheps SB. The Delphi process in dental research. J Evid Based Dent Pract. 2008 Dec;8(4):211-20.
33. Ahmadi M, Mohammadi A, Chraghbaigi R, Fathi T, Shojaee Baghini M. Developing a minimum data set of the information management system for orthopedic injuries in iran. Iran Red Crescent Med J. 2014 Jul;16(7):e17020.
34. Ahmadi M, Alipour J, Mohammadi A, Khorami F. Development a minimum data set of the information management system for burns. Burns. 2015 Aug;41(5):1092-9.
35. Damanabi S, Abdolnejad S, Karimi G. Suggested Minimum Data Set for Speech Therapy Centers Affiliated to Tabriz University of Medical Sciences. Acta Inform Med. 2015 Aug;23(4):243-7.
36. International Organization for Standardization. “Minimal dental implant data set for clinical use”. ISO 16498:2013(en). Available at: https://www.iso.org/obp/ui/#iso:std:iso:16498:ed-1:v1:en/Accessed November 6, 2019.
37. Krysinska K, Sachdev PS, Breitner J, Kivipelto M, Kukull W, Brodaty H. Dementia registries around the globe and their applications: A systematic review. Alzheimers Dement. 2017 Sep;13(9):1031-1047.
38. Hoben M, Poss JW, Norton PG, Estabrooks CA. Oral/dental items in the resident assessment instrument - minimum Data Set 2.0 lack validity: results of a retrospective, longitudinal validation study. Popul Health Metr. 2016 Oct 21;14:36.
39. Ireland RS, Jenner AM, Williams MJ, Tickle M. A clinical minimum data set for primary dental care. Br Dent J. 2001 Jun 23;190(12):663-7.
40. Pill J. The Delphi method: substance, context, a critique and an annotated bibliography. Socioecon Plann Sci. 1971 Feb;5(1):57-71.
| Issue | Vol 20 (Continuously Published Article-Based) | |
| Section | Original Article | |
| DOI | https://doi.org/10.18502/fid.v20i22.13049 | |
| Keywords | ||
| Dataset Dental Implants Registries | ||
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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. |
How to Cite
1.
Naemi R, Shahmoradi L, Rokn A, Sohrabi N, Barikani H. Development of a Minimum Data Set (MDS) for dental implants registry. Front Dent. 2023;20.
