Use of specially designed software for assessment  of treatment outcomes in diabetic foot outpatient clinics as a part of performance management system in medicine

Oleg Vladimirovich Udovichenko; Vadim Borisovich Bregovskiy; Anastasia Gennad'evna Demina; Eugenia Aleksandrovna Berseneva; Tchimitma Danzanovna Shiriptsingeeva; Darima Jeduardovna Nimaeva; Luisa Arturovna Astsatryan; Dmitry Olegovich Meshkov

doi:10.14341/serg2015334-43

Use of specially designed software for assessment of treatment outcomes in diabetic foot outpatient clinics as a part of performance management system in medicine

Oleg Vladimirovich Udovichenko, Vadim Borisovich Bregovskiy, Anastasia Gennad'evna Demina, Eugenia Aleksandrovna Berseneva, Tchimitma Danzanovna Shiriptsingeeva, Darima Jeduardovna Nimaeva, Luisa Arturovna Astsatryan, Dmitry Olegovich Meshkov

https://doi.org/10.14341/serg2015334-43

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Abstract

Previously we elaborated software for analysis of diabetic foot outpatient clinic (DFOC) performance parameters. In this study we tested this software in 4 DFOCs in several cities. As a result, we obtained main parameters of treatment efficacy which can be base for elaboration of benchmarks for quality management in this field. This software can be helpful for administrators of the healthcare system in planning of measures for treatment results improvement and in assessment of these efforts efficacy.

Keywords

efficacy parameters, quality management, benchmark, specialized software, diabetes mellitus, diabetic foot clinic

About the Authors

Oleg Vladimirovich Udovichenko

City clinic No22
Russian Federation
MD, PhD
Competing Interests: конфликта интересов нет

Vadim Borisovich Bregovskiy

V.A. Almazov Federal North-West Medical Research Centre
Russian Federation
MD, PhD
Competing Interests: конфликта интересов нет

Anastasia Gennad'evna Demina

V.A. Almazov Federal North-West Medical Research Centre, St. Petersburg Territorial diabetology center
Russian Federation
MD
Competing Interests: конфликта интересов нет

Eugenia Aleksandrovna Berseneva

National research institute of public health named after Semashko
Russian Federation
MD, PhD, Professor
Competing Interests: конфликта интересов нет

Tchimitma Danzanovna Shiriptsingeeva

Republican clinical hospital named after Semashko
Russian Federation
MD
Competing Interests: конфликта интересов нет

Darima Jeduardovna Nimaeva

Republican clinical hospital named after Semashko
Russian Federation
MD, PhD
Competing Interests: конфликта интересов нет

Luisa Arturovna Astsatryan

City clinic No11
Russian Federation
MD, PhD
Competing Interests: конфликта интересов нет

Dmitry Olegovich Meshkov

National research institute of public health named after Semashko
Russian Federation
MD, PhD
Competing Interests: конфликта интересов нет

References

1. Morbach S, Kersken J, Lobmann R, Nobels F, Doggen K, Van Acker K. The German and Belgian accreditation models for diabetic foot services. Diabetes Metab Res Rev. 2015.

2. Driscoll KA, Johnson SB, Hogan J, Gill E, Wright N, Deeb LC. Insulin bolusing software: the potential to optimize health outcomes in type 1 diabetes mellitus. J Diabetes Sci Technol. 2013;7(3):646-652. doi: 10.1177/193229681300700309.

3. Cho JH, Choi YH, Kim HS, Lee JH, Yoon KH. Effectiveness and safety of a glucose data-filtering system with automatic response software to reduce the physician workload in managing type 2 diabetes. J Telemed Telecare. 2011;17(5): 257-262. doi: 10.1258/jtt.2011.101006.

4. Janssen M, Portalatin M, Wallace J, Zhong W, Parkes JL. Ascensia WinGLUCOFACTS Professional Software improves diabetes health outcomes. J Diabetes Sci Technol. 2007; 1(1):47-53. doi: 10.1177/193229680700100108.

5. Hinnen DA, Buskirk A, Lyden M, Amstutz L, Hunter T, Parkin CG, et al. Use of diabetes data management software reports by health care providers, patients with diabetes, and caregivers improves accuracy and efficiency of data analysis and interpretation compared with traditional logbook data: first results of the Accu-Chek Connect Reports Utility and Efficiency Study (ACCRUES). J Diabetes Sci Technol. 2014;9(2):293-301. doi: 10.1177/1932296814557188.

6. Palacio A, Lehmann ED, Olson DE. Teaching diabetes to middle-school students with the www.2aida.net AIDA online diabetes software simulator. J Diabetes Sci Technol. 2007;1(1):106-115. doi: 10.1177/193229680700100116.

7. Salaman JR, Griffin PJA, Haines J. Lifeline Wales: experience with a computerised kidney doner registry. BMJ. 1994; 308(6920):30-31. doi: 10.1136/bmj.308.6920.30.

8. Portugal LG, Cho L, Wenig BL. A computerized relational database for a head and neck tumor registry with image processing and storage. Otolaryngology – Head and Neck Surgery. 1995;113(2):P75. doi: 10.1016/s0194-5998(05)80636-9.

9. Kent H. BC launches computerized organ-donor registry. CMAJ. 1998;158(5):579-580.

10. Kern EFO, Beischel S, Stalnaker R, Aron DC, Kirsh SR, Watts SA. Building a diabetes registry from the veterans health administration's computerized patient record system. J Diabetes Sci Technol. 2008;2(1):7-14. doi: 10.1177/193229680800200103.

11. Nitsch D, Kadalayil L, Mangtani P, Steenkamp R, Ansell D, Tomson C, et al. Validation and utility of a computerized South Asian names and group recognition algorithm in ascertaining South Asian ethnicity in the national renal registry. QJM. 2009;102(12):865-872. doi: 10.1093/qjmed/hcp142.

12. Anwar WA, Fahim HI, Sos DG, Ibrahim AS, Abdel Hafeez ZM, Ghali RR. P14.02 * establishment of computerized hospital-based cancer registry in the clinical oncology department of Ain Shams University Hospitals in Egypt: outlook on Cns tumors. Neuro Oncol. 2014;16(suppl 2):ii72-ii72. doi: 10.1093/neuonc/nou174.274.

13. Kawamoto K, Martin CJ, Williams K, Tu MC, Park CG, Hunter C, et al. Value Driven Outcomes (VDO): a pragmatic, modular, and extensible software framework for understanding and improving health care costs and outcomes. J Am Med Inform Assoc. 2015;22(1):223-235. doi: 10.1136/amiajnl-2013-002511.

14. Удовиченко О.В., Берсенева Е.А. Эффективность амбулаторного лечения синдрома диабетической стопы в повседневной практике кабинета “Диабетическая стопа”: когортное исследование. // Сахарный диабет. – 2014. – T. 17. – №3 – C. 107-112. [Udovichenko OV, Berseneva EA. Efficacy of routine diabetic foot treatments at an outpatient clinic: a cohort study. Diabetes mellitus. 2014;17(3):107-112.] doi: 10.14341/DM20143107-112.

15. Jeffcoate WJ, Chipchase SY, Ince P, Game FL. Assessing the outcome of the management of diabetic foot ulcers using ulcer-related and person-related measures. Diabetes Care. 2006;29(8):1784-1787. doi: 10.2337/dc06-0306.

16. Astsatryan L, Shiriptsyngeeva T, Udovichenko O. First experience with voluntary audit of diabetic foot clinics in Russia. Materials of the 12th Meeting of the EASD Diabetic Foot Study Group (12–14 September, Bratislava, Slovakia), p. O4.

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	1. Рисунки 1-5
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	Type	Исследовательские инструменты
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For citations:

Udovichenko O.V., Bregovskiy V.B., Demina A.G., Berseneva E.A., Shiriptsingeeva T.D., Nimaeva D.J., Astsatryan L.A., Meshkov D.O. Use of specially designed software for assessment of treatment outcomes in diabetic foot outpatient clinics as a part of performance management system in medicine. Endocrine Surgery. 2015;9(3):34-43. (In Russ.) https://doi.org/10.14341/serg2015334-43

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND 4.0).

ISSN 2306-3513 (Print)
ISSN 2310-3965 (Online)

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	Title	Рисунки 1-5
	Type	Исследовательские инструменты
	Date	2015-10-25
Digital Object Identifier	https://doi.org/10.14341/serg7680-743

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Endocrine Surgery