Cited by 17Diabetes Management and ResearchDiabetes, Cardiovascular Risks, and LipoproteinsDiabetes Treatment and Management

Prevalence and Associated Factors of Delayed Diagnosis of Type 2 Diabetes Mellitus in a Tertiary Hospital: A Retrospective Cohort Study

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Dulyapach, Kotchakorn, Ngamchaliew, Pitchayanont, Vichitkunakorn, Polathep, Sornsenee, Phoomjai, Choomalee, Kittisakdi·2022·International Journal of Public Health

Abstract

Objective: To determine the prevalence and associated factors of delayed diagnosis of type 2 diabetes mellitus (DM) among outpatients in a tertiary hospital. Methods: This retrospective cohort study was conducted among outpatients aged ≥35 years with twice fasting plasma glucose (FPG) levels ≥126 mg/dl between 1 January 2018, and 31 December 2020. The prevalence and pattern of delayed diagnosis of DM were defined using the Thai Clinical Practice Guideline (CPG) for Diabetes, 2017, and the American Diabetes Association (ADA) 2017. The cut-off time for FPG level confirmation of 3 months was used to evaluate delayed diagnoses and associated factors. Multiple logistic regression was used to identify variables associated with delayed diagnoses. Results: Of 260 participants, 96.9% and 85.4% had delayed diagnoses as defined by the Thai CPG and the ADA, respectively. Factors significantly associated with delayed diagnosis were hypertension, non-cash insurance, and >10 years of physician experience. Conclusion: Undiagnosed diabetes and diagnosis delay should be a concern in tertiary settings. Senior physicians should focus on patients with higher FPG levels, particularly those who have hypertension, and use non-cash insurance schemes.

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  • Clinicians with outdated or inadequate knowledge often fail to identify diseases and symptoms in their early stages and may misinterpret clinical guidelines.

    “clinicians with outdated or inadequate knowledge often fail to identify diseases and symptoms in their early stages and may misinterpret clinical guidelines [83].”

    From Toward Safer Diagnoses: A SEIPS-Based Narrative Review of Diagnostic Errors (2026) · cites this paper as [83]

    The Discussion (Statement of Principle Finding; page not provided) links less up-to-date guideline knowledge with delayed type 2 diabetes diagnosis and says insufficient clinical knowledge can lead to misinterpretation of diabetes guidelines. It does not establish that clinicians often fail to identify diseases and symptoms generally at early stages; its evidence concerns diabetes diagnosis and treatment. (LLM, conf=0.85)

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References 24 · Cited by 17

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  1. [1]International Diabetes Federation. IDF Diabetes. 9th ed. Brussels, Belgium: Atlas Press (2019). Available at: https://www.diabetesatlas.org/en/ (Accessed Jul 16, 2021).
  2. [2]Agrawal RP Ola V Bishnoi P Gothwal S Sirohi P Agrawal R. Prevalence of Micro and Macrovascular Complications and Their Risk Factors in Type-2 Diabetes Mellitus. J Assoc Physicians India (2014) 62: 504– 8. 25856915
  3. [4]Gopalan A Mishra P Alexeeff SE Blatchins MA Kim E Man AH Prevalence and Predictors of Delayed Clinical Diagnosis of Type 2 Diabetes: a Longitudinal Cohort Study. Diabet Med (2018) 35: 1655– 62. 10.1111/dme.13808 30175870 PMC6481650 · DOI
  4. [5]Moody A Cowley G Ng Fat L Mindell JS. Social Inequalities in Prevalence of Diagnosed and Undiagnosed Diabetes and Impaired Glucose Regulation in Participants in the Health Surveys for England Series. BMJ Open (2016) 6: e010155. 10.1136/bmjopen-2015-010155 PMC4746474 26857106 · DOI
  5. [6]Roche MM Wang PP. Factors Associated with a Diabetes Diagnosis and Late Diabetes Diagnosis for Males and Females. J Clin Transl Endocrinol (2014) 1: 77– 84. 10.1016/j.jcte.2014.07.002 29159087 PMC5685052 · DOI
  6. [7]Fraser LA Twombly J Zhu M Long Q Hanfelt JJ Narayan KMV Delay in Diagnosis of Diabetes Is Not the Patient’s Fault. Diabetes Care (2010) 33: e10. 10.2337/dc09-1129 20040660 PMC3971419 · DOI
  7. [9]O’Connor PJ Sperl-Hillen JM Johnson PE Rush WA Biltz G Henriksen K Clinical Inertia and Outpatient Medical Errors. In: Advances in Patient Safety: From Research to Implementation, 2. Rockville (MD): Agency for Healthcare Research and Quality. US (2005). Concepts and MethodologyAdvances in Patient Safety. 21249838
  8. [10]Pippitt K Li M Gurgle HE. Diabetes Mellitus: Screening and Diagnosis. Am Fam Phys (2016) 93: 103– 9. Erratum in: Am Fam Physician (2016) 94:533. 26926406
  9. [11]Li G Zhang P Wang J An Y Gong Q Gregg EW Cardiovascular Mortality, All-Cause Mortality, and Diabetes Incidence after Lifestyle Intervention for People with Impaired Glucose Tolerance in the Da Qing Diabetes Prevention Study: a 23-year Follow-Up Study. Lancet Diabetes Endocrinol (2014) 2: 474– 80. [Epub Apr 3 2014]. 10.1016/S2213-8587(14)70057-9 24731674 · DOI · Paper page
  10. [14]American Diabetes Association. 6. Glycemic Targets. Diabetes Care (2017) 40: S48-S56– 56. 10.2337/dc17-S009 27979893 · DOI
  11. [15]Samuels TA Cohen D Brancati FL Coresh J Kao WHL. Delayed Diagnosis of Incident Type 2 Diabetes Mellitus in the ARIC Study. Am J Manag Care (2006) 12: 717– 24. 17149994
  12. [17]Wahls TL Cram PM. The Frequency of Missed Test Results and Associated Treatment Delays in a Highly Computerized Health System. BMC Fam Pract (2007) 8: 32. 10.1186/1471-2296-8-32 17519017 PMC1891295 · DOI
  13. [18]Saadi H Al-Kaabi J Benbarka M Khalili A Almahmeed W Nagelkerke N Prevalence of Undiagnosed Diabetes and Quality of Care in Diabetic Patients Followed at Primary and Tertiary Clinics in Abu Dhabi, United Arab Emirates. Rev Diabet Stud (2010) 7: 293– 302. 10.1900/RDS.2010.7.293 21713317 PMC3143544 · DOI
  14. [19]Selvin E Wang D Lee AK Bergenstal RM Coresh J. Identifying Trends in Undiagnosed Diabetes in U.S. Adults by Using a Confirmatory Definition: A Cross-Sectional Study. Ann Intern Med (2017) 167: 769– 76. 10.7326/M17-1272 29059691 PMC5744859 · DOI
  15. [20]Eschwège E Charles MA Simon D Thibult N Balkau B. Reproducibility of the Diagnosis of Diabetes over a 30-month Follow-Up: the Paris Prospective Study. Diabetes Care (2001) 24: 1941– 4. 10.2337/diacare.24.11.1941 11679461 · DOI
  16. [21]Dessie G Mulugeta H Amare D Negesse A Wagnew F Getaneh T A Systematic Analysis on Prevalence and Sub-regional Distribution of Undiagnosed Diabetes Mellitus Among Adults in African Countries. J Diabetes Metab Disord (2020) 19: 1931– 41. 10.1007/s40200-020-00635-9 33553047 PMC7843872 · DOI
  17. [22]Mirahmadizadeh A Fathalipour M Mokhtari AM Zeighami S Hassanipour S Heiran A. The Prevalence of Undiagnosed Type 2 Diabetes and Prediabetes in Eastern Mediterranean Region (EMRO): A Systematic Review and Meta-Analysis. Diabetes Res Clin Pract (2020) 160: 107931. 10.1016/j.diabres.2019.107931 31794806 · DOI
  18. [23]Edelman D Olsen MK Dudley TK Harris AC Oddone EZ. Quality of Care for Patients Diagnosed with Diabetes at Screening. Diabetes Care (2003) 26: 367– 71. 10.2337/diacare.26.2.367 12547864 · DOI
  19. [24]Marjanović M Vrdoljak D Bralić Lang V Polašek O Đido V Kašćel Fišić M Clinical Inertia in Type 2 Diabetes Patients in Primary Health Care Clinics in central Bosnia. Med Sci Monit (2018) 24: 8141– 9. 10.12659/MSM.911286 30421728 PMC6243831 · DOI
  20. [25]Aujoulat I Jacquemin P Rietzschel E Scheen A Tréfois P Wens J Factors Associated with Clinical Inertia: an Integrative Review. Adv Med Educ Pract (2014) 5: 141– 7. 10.2147/AMEP.S59022 24868181 PMC4028485 · DOI
  21. [27]Kartoun U Iglay K Shankar RR Beam A Radican L Chatterjee A Factors Associated with Clinical Inertia in Type 2 Diabetes Mellitus Patients Treated with Metformin Monotherapy. Curr Med Res Opin (2019) 35: 2063– 70. 10.1080/03007995.2019.1648116 31337263 · DOI
  22. [28]Leahy S O’ Halloran AM O’ Leary N Healy M McCormack M Kenny RA Prevalence and Correlates of Diagnosed and Undiagnosed Type 2 Diabetes Mellitus and Pre-diabetes in Older Adults: Findings from the Irish Longitudinal Study on Ageing (TILDA). Diabetes Res Clin Pract (2015) 110: 241– 9. 10.1016/j.diabres.2015.10.015 26520567 · DOI

Authors
Dulyapach, K., Ngamchaliew, P., Vichitkunakorn, P., Sornsenee, P., & Choomalee, K.
Affiliations
Prince of Songkla University (TH)
Corresponding author
Ngamchaliew, Pitchayanont
Venue
International Journal of Public Health
Published
2022-11-28
Volume
67
Pages
1605039-1605039
ISSN
  • 1661-8556 (ISSN-L)
  • 1661-8564
OpenAlex
W4310028622
Cited by
17
References
24
Citations by year
2026: 7 · 2025: 6 · 2024: 2 · 2023: 1 · 2022: 1
FWCI
1.85
Type
journal article
Language
en
Open access
Locations
  • International Journal of Public Health (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
Faculty of Medicine, Prince of Songkla University
Topics
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Treatment and Management
Keywords
type 2 diabetes, delayed diagnosis, fasting blood glucose, diabetes screening, hypertension, insurance status, physician experience, outpatients, prevalence, diagnostic criteria
MeSH terms
Blood Glucose, Diabetes Mellitus, Diabetes Mellitus, Type 2, Humans, Hypertension, Retrospective Studies, Prevalence, Delayed Diagnosis, Tertiary Care Centers

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