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Function and Preparedness of Diabetes’s Surveillance System from Managers and Policymakers’ Viewpoint in Iran, 2017: There Is a Long Way Ahead to Beat Diabetes

Document Type : Original Article

Authors

1 Non-communicable Diseases Research Center, Shiraz University of Medical Sciences, Shiraz, Iran

2 Non-communicable Diseases Research Center, Fasa University of Medical Sciences, Fasa, Iran

3 Non-communicable Diseases Research Center, Department of Epidemiology, School of Health, Shiraz University of Medical Sciences, Shiraz, Iran

Abstract

Background: It is estimated that in 2025, the cost of diabetes will account for 40% of total health spending. In Iran, 4.5 to 5 million people are afflicted with diabetes, and its prevalence has doubled during the past three decades. The aim of this study was to determine the function and preparedness of diabetes surveillance system in Iran.
Methods: In this cross-sectional study, all managers, health policymakers and experts of diabetes(N:125) entered the study and completed a questionnaire on the existence and implementation of the surveillance system domains (from data collection to evaluation) and the relationship between domains of this system and their function. The descriptive statistical method, path analysis, was employed using Amos.
Results: A ccording t o m anager’s v iewpoint, t he r ange o f existence and implementation of all domains of surveillance system were 12% to 68.7% in average. They believed that 10-69% of domains of surveillance system were working properly. Most of respondents (59-87%) declared that investing in diabetes at different levels of prevention was less than expected. Satisfaction with both diabetes surveillance system function and diabetic patients was low and they don’t have a good and bright future for diabetes and its various aspects. By modeling analytical structural equations, some components of surveillance system were moderately worked together.
Conclusion: we conclude that we must first formulate and prepare a standard surveillance system as well as train the relevant personnel and make clear changes in the existing care system. With the current surveillance system, we have a long way to go to prevent and control diabetes to an acceptable the average level of performance of the care system is lower than expected

Keywords

References
  1. Bahmani M, Zargaran A, Rafieian-Kopaei M, Saki K. Ethnobotanical study of medicinal plants used in the management of diabetes mellitus in the Urmia, Northwest Iran. Asian Pac J Trop Med. 2014 Sep;7S1:S348-54. doi: 10.1016/S1995-7645(14)60257-1. PMID: 25312149.
  2. Lotfi MH, Saadati H, Afzali M. Prevalence of diabetes in people aged ≥ 30 years: the results of screen-ing program of Yazd Province, Iran, in 2012. J Res Health Sci. 2014 Winter;14(1):87-91. PMID: 24402857.
  3. Roglic G. WHO Global report on diabetes: A summary. International Journal of Noncommunicable Diseases. 2016;1(1):3.
  4. Khosravi A, Ahmadzadeh K, Zareivenovel M. Evaluating the health literacy level among diabetic patients referring to Shiraz health centers. International Journal of Information Science and Management (IJISM). 2018;16(1).
  5. Peykari N, Sepanlou SG, Djalalinia S, Kasaeian A, Parsaeian M, Ahmadvand A, Koohpayehzadeh J, et al. National and sub-national prevalence, trend, and burden of metabolic risk factors (MRFs) in Iran: 1990 - 2013, study protocol. Arch Iran Med. 2014 Jan;17(1):54-61. PMID: 24444064.
  6. Larijani B FF, Aniseh N,Naderi Sh. National framework for service delivery in diabetic patients, National Committee for the Prevention and Control of Non-Communicable Diseases,. 2016.
  7. Shamseddeen H, Getty JZ, Hamdallah IN, Ali MR. Epidemiology and economic impact of obesity and type 2 diabetes. Surg Clin North Am. 2011 Dec;91(6):1163-72, vii. doi: 10.1016/j.suc.2011.08.001. Epub 2011 Oct 2. PMID: 22054146.
  8. Dietz VJ, Gubler DJ, Rigau-Pérez JG, Pinheiro F, Schatzmayr HG, Bailey R, Gunn RA. Epidemic dengue 1 in Brazil, 1986: evaluation of a clinically based dengue surveillance system. Am J Epidemiol. 1990 Apr;131(4):693-701. PMID: 2180282.
  9. Javanbakht M, Mashayekhi A, Baradaran HR, Haghdoost A, Afshin A. Projection of Diabetes Population Size and Associated Economic Burden through 2030 in Iran: Evidence from Micro-Simulation Markov Model and Bayesian Meta-Analysis. PLoS One. 2015 Jul 22;10(7):e0132505. doi: 10.1371/journal.pone.0132505. PMID: 26200913; PMCID: PMC4511591.
  10. Sepanlou SG, Kamangar F, Poustchi H, Malekzadeh R. Reducing the burden of chronic diseases: a neglected agenda in Iranian health care system, requiring a plan for action. Arch Iran Med. 2010 Jul;13(4):340-50. PMID: 20597569.
  11. Global Burden of Disease Study 2013 Collaborators. Global, regional, and national incidence, prevalence, and years lived with disability for 301 acute and chronic diseases and injuries in 188 countries, 1990-2013: a systematic analysis for the Global Burden of Disease Study 2013. Lancet. 2015 Aug 22;386(9995):743-800. doi: 10.1016/S0140-6736(15)60692-4. Epub 2015 Jun 7. PMID: 26063472; PMCID: PMC4561509.
  12. Klaucke DN BJ, Thacker SB, Parrish RG, Trowbridge FL, Berkelman RL. Guidelines for evaluating surveillance systems. MMWR Morb Mortal Wkly Rep. 1988 May 6;;Suppl 5(37):1-8.
  13. Asgari F AH, Haghazali M, Heidarian H. Non-communicable diseases risk factors surveillance in Iran. Iranian Journal of Public Health. 2009;1(38):119-22.
  14. Peykari N, Hashemi H, Dinarvand R, Haji-Aghajani M, Malekzadeh R, Sadrolsadat A, Sayyari AA, Asadi-Lari M, Delavari A, Farzadfar F, Haghdoost A, Heshmat R, Jamshidi H, Kalantari N, Koosha A, Takian A, Larijani B. National action plan for non-communicable diseases prevention and control in Iran; a response to emerging epidemic. J Diabetes Metab Disord. 2017 Jan 23;16:3. doi: 10.1186/s40200-017-0288-4. PMID: 28127543; PMCID: PMC5260033.
  15. Atun R, Jaffar S, Nishtar S, Knaul FM, Barreto ML, Nyirenda M, Banatvala N, Piot P. Improving responsiveness of health systems to non-communicable diseases. Lancet. 2013 Feb 23;381(9867):690-7. doi: 10.1016/S0140-6736(13)60063-X. Epub 2013 Feb 12. PMID: 23410609.).
  16. Global report on diabetes. World Health Organization. 2016.
  17. Hashemi H LB, Sayari AK,et al. Iranian Non Communicable Diseases.org/10.1186/s12889-020-09704-3.
  18. Kuder GF, Richardson MW. The theory of the estimation of test reliability. Psychometrika. 1937;2(3):151-60. doi: 10.1007/BF02288391.
  19. Copeland J, Gilmour S, Gates P, Swift W. The Cannabis Problems Questionnaire: factor structure, reliability, and validity. Drug Alcohol Depend. 2005 Dec 12;80(3):313-9. doi: 10.1016/j.drugalcdep.2005.04.009. PMID: 15916867.
  20. Schermelleh-Engel K, Moosbrugger H, Müller H. Evaluating the fit of structural equation models: Tests of significance and descriptive goodness-of-fit measures. Methods of psychological research online. 2003;8(2):23-74.
  21. Tahmasebi R, Noroozi A, Tavafian SS. Determinants of self-management among diabetic patients: a path analysis. Asia Pac J Public Health. 2015 Mar;27(2):NP524-34. doi: 10.1177/1010539513475652. Epub 2013 Feb 17. PMID: 23420057.
  22. Emery CA, Meeuwisse WH, Hartmann SE. Evaluation of risk factors for injury in adolescent soccer: implementation and validation of an injury surveillance system. Am J Sports Med. 2005 Dec;33(12):1882-91. doi: 10.1177/0363546505279576. Epub 2005 Sep 12. PMID: 16157843.
  23. Haynes RB, Wilczynski NL; Computerized Clinical Decision Support System (CCDSS) Systematic Review Team. Effects of computerized clinical decision support systems on practitioner performance and patient outcomes: methods of a decision-maker-researcher partnership systematic review. Implement Sci. 2010 Feb 5;5:12. doi: 10.1186/1748-5908-5-12. PMID: 20181104; PMCID: PMC2829489.
  24. Safdari R, Shams Abadi AR, Pahlevany Nejad S. Improve Health of the Elderly People With M-Health and Technology. Iranian Journal of Ageing. 2018;13(3):288-99.3.13.SIJA/32598.10/org.do. 8.3.13.SIJA/32598.10/org.do.
  25. Yang X, Ko GT, So WY, Ma RC, Yu LW, Kong AP, et al. Associations of hyperglycemia and insulin usage with the risk of cancer in type 2 diabetes: the Hong Kong diabetes registry. Diabetes. 2010 May;59(5):1254-60. doi: 10.2337/db09-1371. Epub 2010 Feb 25. PMID: 20185812; PMCID: PMC2857906.
  26. Chaudhury A, Duvoor C, Reddy Dendi VS, Kraleti S, Chada A, Ravilla R, et al. Clinical Review of Antidiabetic Drugs: Implications for Type 2 Diabetes Mellitus Management. Front Endocrinol (Lausanne). 2017 Jan 24;8:6. doi: 10.3389/fendo.2017.00006. PMID: 28167928; PMCID: PMC5256065.
  27. Vashist P, Singh S, Gupta N, Saxena R. Role of early screening for diabetic retinopathy in patients with diabetes mellitus: an overview. Indian J Community Med. 2011 Oct;36(4):247-52. doi: 10.4103/0970-0218.91324. PMID: 22279252; PMCID: PMC3263142.
  28. Vashist P, Singh S, Gupta N, Saxena R. Role of early screening for diabetic retinopathy in patients with diabetes mellitus: an overview. Indian J Community Med. 2011 Oct;36(4):247-52. doi: 10.4103/0970-0218.91324. PMID: 22279252; PMCID: PMC3263142.
  29. A. The Impact of the Health System Transformation Plan on the Activities of NGOs in the Health Sector. Health-centered research. 2016;2(4).
  30. Baughcum AE, Gerhardt CA, Young-Saleme T, Stefanik R, Klopfenstein KJ. Evaluation of a pediatric palliative care educational workshop for oncology fellows. Pediatr Blood Cancer. 2007 Aug;49(2):154-9. doi: 10.1002/pbc.21034. PMID: 16991132.
  31. Dowey A TS, Hastings RP, Nash S. Can brief workshop interventions change care staff understanding of challenging behaviours?. Journal of Applied Research in Intellectual Disabilities. 2007 Jan;1(20):52-7. doi: 10.1111/j.1468-3148.2006.00339.x.
  32. Izadi S. A Survey on the Impact of Technology Training Courses Information on Improving Staff Performance (Case Study: IIS) Higher Education and Research Management and Planning). Journal of Humanities and Social Sciences Management. 2008;4(31):13-38.
  33. Li R, Zhang P, Barker LE, Chowdhury FM, Zhang X. Cost-effectiveness of interventions to prevent and control diabetes mellitus: a systematic review. Diabetes Care. 2010 Aug;33(8):1872-94. doi: 10.2337/dc10-0843. PMID: 20668156; PMCID: PMC2909081.
  34. da Rocha Fernandes J, Ogurtsova K, Linnenkamp U, Guariguata L, Seuring T, Zhang P,et al. IDF Diabetes Atlas estimates of 2014 global health expenditures on diabetes. Diabetes Res Clin Pract. 2016 Jul;117:48-54. doi: 10.1016/j.diabres.2016.04.016. Epub 2016 Apr 27. PMID: 27329022.
  35. Li R, Zhang P, Barker LE, Chowdhury FM, Zhang X. Cost-effectiveness of interventions to prevent and control diabetes mellitus: a systematic review. Diabetes Care. 2010 Aug;33(8):1872-94. doi: 10.2337/dc10-0843. PMID: 20668156; PMCID: PMC2909081.
  36. Shrestha SS, Honeycutt AA, Yang W, Zhang P, Khavjou OA, Poehler DC, Neuwahl SJ, Hoerger TJ. Economic Costs Attributable to Diabetes in Each U.S. State. Diabetes Care. 2018 Dec;41(12):2526-2534. doi: 10.2337/dc18-1179. Epub 2018 Oct 10. PMID: 30305349; PMCID: PMC8851543.
  37. Zhang P, Zhang X, Brown J, Vistisen D, Sicree R, Shaw J,et al. Global healthcare expenditure on diabetes for 2010 and 2030. Diabetes Res Clin Pract. 2010 Mar;87(3):293-301. doi: 10.1016/j.diabres.2010.01.026. Epub 2010 Feb 19. Erratum in: Diabetes Res Clin Pract. 2011 May;92(2):301. PMID: 20171754.
  38. Association AD. Economic costs of diabetes in the US in 2012. Diabetes Care 2013; 36: 1033–1046. Diabetes Care. 2013;36(6):1797. doi: 2337/dc13-er06. PMCID: PMC3661824
  39. Jalil A, Zakar R, Zakar MZ, Fischer F. Patient satisfaction with doctor-patient interactions: a mixed methods study among diabetes mellitus patients in Pakistan. BMC Health Serv Res. 2017 Feb 21;17(1):155. doi: 10.1186/s12913-017-2094-6. PMID: 28222721; PMCID: PMC5320691.
  40. Jäckle A, Roberts C, Lynn P. Assessing the effect of data collection mode on measurement. International Statistical Review. 2010;78(1):3-20. doi: 10.1111/j.1751-5823.2010.00102.x.
  41. Krug EG. Trends in diabetes: sounding the alarm. Lancet. 2016 Apr 9;387(10027):1485-1486. doi: 10.1016/S0140-6736(16)30163-5. Epub 2016 Apr 6. PMID: 27061675.
Journal of Health Sciences & Surveillance System
Volume 11, Issue 3
July 2023
Pages 480-489
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