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Linked survey and statutory medical health insurance knowledge evaluating healthcare utilization patterns and related elements of individuals with diabetes in Germany – latent class evaluation


  • Saeedi, P. et al. World and regional diabetes prevalence estimates for 2019 and projections for 2030 and 2045: Outcomes from the Worldwide Diabetes Federation Diabetes Atlas, ninth version. Diabetes Res. Clin. Pract. 157, 107843 (2019).

    PubMed 

    Google Scholar
     

  • Williams, R. et al. World and regional estimates and projections of diabetes-related well being expenditure: Outcomes from the Worldwide Diabetes Federation Diabetes Atlas, ninth version. Diabetes Res. Clin. Pract. 162, 108072 (2020).

    PubMed 

    Google Scholar
     

  • Müller, N. et al. Healthcare utilization of individuals with kind 2 diabetes in Germany: an evaluation based mostly on medical health insurance knowledge. Diabet. Med. J. Br. Diabet. Assoc. 32(7), 951–957 (2015).


    Google Scholar
     

  • Jacobs, E. et al. Healthcare prices of Kind 2 diabetes in Germany. Diabet. Med. J. Br. Diabet. Assoc. 34(6), 855–861 (2017).

    CAS 
    MATH 

    Google Scholar
     

  • Ulrich, S. et al. Price burden of kind 2 diabetes in Germany: Outcomes from the population-based KORA research. BMJ Open 6(11), e012527 (2016).

    PubMed 
    PubMed Central 

    Google Scholar
     

  • Hauner, H., Köster, I. & von Ferber, L. Outpatient care of sufferers with diabetes mellitus in 2001. Evaluation of a medical health insurance pattern of the AOK in Hesse/KV in Hesse. Dtsch Med. Wochenschr. 128(50), 2638–2643 (1946).


    Google Scholar
     

  • Busse, R., Blümel, M., Knieps, F. & Bärnighausen, T. Statutory medical health insurance in Germany: A well being system formed by 135 years of solidarity, self-governance, and competitors. Lancet 390(10097), 882–897 (2017).

    PubMed 

    Google Scholar
     

  • Busse, R. Illness administration packages in Germany’s statutory medical health insurance system. Well being Aff. (Millwood). 23(3), 56–67 (2004).

    PubMed 
    MATH 

    Google Scholar
     

  • Geurten, R. J. et al. Figuring out and delineating the kind 2 diabetes inhabitants within the Netherlands utilizing an all-payer claims database: Traits, healthcare utilisation and expenditures. BMJ Open 11(12), e049487 (2021).

    PubMed 
    PubMed Central 

    Google Scholar
     

  • Chong, J. L., Lim, Ok. Ok. & Matchar, D. B. Inhabitants segmentation based mostly on healthcare wants: A scientific assessment. Syst. Rev. 8(1), 202 (2019).

    PubMed 
    PubMed Central 
    MATH 

    Google Scholar
     

  • Collins, L. M. & Lanza, S. T. Latent Class and Latent Transition Evaluation: With Purposes within the Social, Behavioral, and Well being Sciences [Internet]. 1st ed (Wiley, 2009) [cited 2024 Oct 11]. (Wiley Collection in Chance and Statistics). Accessible from https://onlinelibrary.wiley.com/doi/guide/https://doi.org/10.1002/9780470567333

  • van Dijk, C. E. et al. Kind II diabetes sufferers in major care: profiles of healthcare utilization obtained from observational knowledge. BMC Well being Serv. Res. 13(1), 7 (2013).

    PubMed 
    PubMed Central 

    Google Scholar
     

  • El Fakiri, F., Foets, M. & Rijken, M. Well being care use by diabetic sufferers within the Netherlands: patterns and predicting elements. Diabetes Res. Clin. Pract. 61(3), 199–209 (2003).

    PubMed 

    Google Scholar
     

  • Seng, J. J. B. et al. Differential well being care use, diabetes-related issues, and mortality amongst 5 distinctive courses of sufferers with kind 2 diabetes in Singapore: A latent class evaluation of 71,125 sufferers. Diabetes Care 43(5), 1048–1056 (2020).

    PubMed 
    PubMed Central 

    Google Scholar
     

  • Garcia, T. B. et al. Settlement between self-reports and statutory medical health insurance claims knowledge on healthcare utilization in sufferers with psychological issues. BMC Well being Serv. Res. 23(1), 1243 (2023).

    PubMed 
    PubMed Central 

    Google Scholar
     

  • Icks, A. et al. Settlement discovered between self-reported and medical health insurance knowledge on doctor visits evaluating totally different recall lengths. J. Clin. Epidemiol. 82, 167–172 (2017).

    PubMed 
    MATH 

    Google Scholar
     

  • Hoffmann, F. & Icks, A. Unterschiede in der Versichertenstruktur von Krankenkassen und deren Auswirkungen für die Versorgungsforschung: Ergebnisse des Bertelsmann-Gesundheitsmonitors. Gesundheitswesen 74, 291–297 (2012).

    CAS 
    PubMed 

    Google Scholar
     

  • Hauner, H., Köster, I. & von Ferber, L. Prävalenz des Diabetes mellitus in Deutschland 1998–2001. Sekundärdatenanalyse einer Versichertenstichprobe der AOK Hessen/KV Hessen. Dtsch. Arztebl. 104(41), A2799-2805 (2007).


    Google Scholar
     

  • Köster, I., Von Ferber, L., Ihle, P., Schubert, I. & Hauner, H. The associated fee burden of diabetes mellitus: The proof from Germany—the CoDiM Examine. Diabetologia 49(7), 1498–1504 (2006).

    PubMed 

    Google Scholar
     

  • Linnenkamp, U. et al. Utilizing statutory medical health insurance knowledge to judge non-response in a cross-sectional examine on despair amongst sufferers with diabetes in Germany. Int. J. Epidemiol. 49(2), 629–637 (2020).

    PubMed 
    PubMed Central 

    Google Scholar
     

  • Naldi, L. & Cazzaniga, S. Analysis methods made easy: Latent class evaluation. J. Investig. Dermatol. 140(9), 1676-1680.e1 (2020).

    CAS 
    PubMed 
    MATH 

    Google Scholar
     

  • Liebl, A. et al. Issues, co-morbidity, and blood glucose management in kind 2 diabetes mellitus sufferers in Germany: Outcomes from the CODE-2 ™ examine. Exp. Clin. Endocrinol. Diabetes. 110(01), 10–16 (2002).

    CAS 
    PubMed 

    Google Scholar
     

  • von Ferber, L., Köster, I. & Hauner, H. Kosten der antihyperglykämischen Behandlung des Diabetes mellitus: Einfluss von Lebensalter, Therapieart und Komplikationsstatus: Ergebnisse der KoDiM-Studie 2001. Med. Klin. 101(5), 384–393 (2006).


    Google Scholar
     

  • Günster, C., Altenhofen, L. (eds) Schwerpunkt: Chronische Erkrankungen; [mit Online-Zugang]. Stuttgart: Schattauer, 354 (Versorgungs-Report, 2011).

  • Thomas, G. Grobe, S. S., Joachim Szecsenyi. Arztreport 2017 – Schriftenreihe zur Gesundheitsanalyse [Internet], Vol. 1. Asgard Verlagsservice GmbH; [cited 2020 Apr 23]. Accessible from https://www.barmer.de/blob/99196/40985c83a99926e5c12eecae0a50e0ee/knowledge/dl-barmer-arztreport-2017.pdf.

  • Liebl, A. et al. Kosten des Typ-2-diabetes in Deutschland. DMW – Dtsch. Med. Wochenschr. 126(20), 585–589 (2001).

    CAS 

    Google Scholar
     

  • Sudore, R. L. et al. Restricted literacy in older folks and disparities in well being and healthcare entry: Restricted literacy in older folks and well being disparities. J. Am. Geriatr. Soc. 54(5), 770–776 (2006).

    PubMed 

    Google Scholar
     

  • Paduch, A. et al. Psychosocial obstacles to healthcare use amongst people with diabetes mellitus: A scientific assessment. Prim. Care Diabetes. 11(6), 495–514 (2017).

    PubMed 

    Google Scholar
     

  • Baumeister, S. E. et al. Traits of obstacles to eye care amongst adults with recognized diabetes in Germany, 1997–2012. Nutr. Metab. Cardiovasc. Dis. 25(10), 906–915 (2015).

    CAS 
    PubMed 

    Google Scholar
     

  • Brown, A. F. Socioeconomic place and well being amongst individuals with diabetes mellitus: A conceptual framework and assessment of the literature. Epidemiol. Rev. 26(1), 63–77 (2004).

    PubMed 
    MATH 

    Google Scholar
     

  • Rhodes, P., Nocon, A. & Wright, J. Entry to diabetes companies: The experiences of Bangladeshi folks in Bradford, UK. Ethinicty Well being. 8(3), 171–188 (2003).

    MATH 

    Google Scholar
     

  • Kwan, J., Razzaq, A., Leiter, L. A., Lillie, D. & Hux, J. E. Low socioeconomic standing and absence of supplemental medical health insurance as obstacles to diabetes care entry and utilization. Can. J. Diabetes. 32(3), 174–181 (2008).


    Google Scholar
     

  • Rothman, R. L. Affect of affected person literacy on the effectiveness of a major care-based diabetes illness administration program. JAMA 292(14), 1711 (2004).

    CAS 
    PubMed 
    MATH 

    Google Scholar
     

  • Younger, B. A. et al. Diabetes issues severity index and danger of mortality, hospitalization, and healthcare utilization. Am. J. Manag. Care 14(1), 15–23 (2008).

    PubMed 
    PubMed Central 

    Google Scholar
     

  • Anderson, R. M. et al. Affected person empowerment: Outcomes of a randomized managed trial. Diabetes Care 18(7), 943–949 (1995).

    CAS 
    PubMed 

    Google Scholar
     

  • Chang, H. Y., Weiner, J. P., Richards, T. M., Bleich, S. N. & Segal, J. B. Validating the tailored diabetes issues severity index in claims knowledge. Am. J. Manag. Care 18(11), 721–726 (2012).

    PubMed 

    Google Scholar
     

  • Ciechanowski, P. S., Katon, W. J. & Russo, J. E. Despair and diabetes: Impression of depressive signs on adherence, operate, and prices. Arch. Intern. Med. 160(21), 3278–3285 (2000).

    CAS 
    PubMed 
    MATH 

    Google Scholar
     

  • Ware, J., Kosinski, M. & Keller, S. D. A 12-item short-form well being survey: Development of scales and preliminary assessments of reliability and validity. Med. Care 34(3), 220–233 (1996).

    PubMed 

    Google Scholar
     

  • Weller, B. E., Bowen, N. Ok. & Faubert, S. J. Latent class evaluation: A information to greatest apply. J. Black Psychol. 46(4), 287–311 (2020).

    MATH 

    Google Scholar
     

  • Nylund, Ok. L., Asparouhov, T. & Muthén, B. O. Deciding on the variety of courses in latent class evaluation and development combination modeling: A Monte Carlo simulation examine. Struct. Equ. Mannequin Multidiscip. J. 14(4), 535–569 (2007).

    MathSciNet 
    MATH 

    Google Scholar
     

  • Lanza, S. T. & Rhoades, B. L. Latent class evaluation: An alternate perspective on subgroup evaluation in prevention and remedy. Prev. Sci. Off. J. Soc. Prev. Res. 14(2), 157–168 (2013).

    MATH 

    Google Scholar
     

  • Egede, L. E., Zheng, D. & Simpson, Ok. Comorbid despair is related to elevated well being care use and expenditures in people with diabetes. Diabetes Care 25(3), 464–470 (2002).

    PubMed 

    Google Scholar
     

  • Vamos, E. P., Mucsi, I., Keszei, A., Kopp, M. S. & Novak, M. Comorbid despair is related to elevated healthcare utilization and misplaced productiveness in individuals with diabetes: A big nationally consultant Hungarian inhabitants survey. Psychosom Med. 71(5), 501–507 (2009).

    PubMed 

    Google Scholar
     

  • Yan, S. et al. Figuring out heterogeneous well being profiles of major care utilizers and their differential healthcare utilization and mortality: A retrospective cohort examine. BMC Fam. Pract. 20(1), 54 (2019).

    PubMed 
    PubMed Central 

    Google Scholar
     

  • Baumert, J., Paprott, R., Du, Y., Heidemann, C. & Scheidt-Nave, C. Selbsteingeschätzte Versorgungsqualität bei Erwachsenen mit diagnostiziertem Diabetes in Deutschland [Internet]. Robert Koch-Institut; 2021 [cited 2024 Oct 29]. Accessible from https://edoc.rki.de/deal with/176904/8395

  • Safieddine, B., Sperlich, S., Beller, J., Lange, Ok. & Geyer, S. Socioeconomic inequalities in kind 2 diabetes comorbidities in several inhabitants subgroups: development analyses utilizing German medical health insurance knowledge. Sci. Rep. 13(1), 10855 (2023).

    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • IGES Institut GmbH. Bewertung der Kodierqualität von vertragsärztlichen Diagnosen [Internet]. Accessible from https://www.gkv-spitzenverband.de/media/dokumente/krankenversicherung_1/aerztliche_versorgung/verguetung_und_leistungen/klassifikationsverfahren/9_Endbericht_Kodierqualitaet_Hauptstudie_2012_12-19.pdf

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