Skip to main content
Log in

Wide Clinic-Level Variation in Adherence to Oral Diabetes Medications in the VA

  • Original Research
  • Published:
Journal of General Internal Medicine Aims and scope Submit manuscript

ABSTRACT

BACKGROUND

While there has been extensive research into patient-specific predictors of medication adherence and patient-specific interventions to improve adherence, there has been little examination of variation in clinic-level medication adherence.

OBJECTIVE

We examined the clinic-level variation of oral hypoglycemic agent (OHA) medication adherence among patients with diabetes treated in the Department of Veterans Affairs (VA) primary care clinics. We hypothesized that there would be systematic variation in clinic-level adherence measures, and that adherence within organizationally-affiliated clinics, such as those sharing local management and support, would be more highly correlated than adherence between unaffiliated clinics.

DESIGN

Retrospective cohort study.

SETTING

VA hospital and VA community-based primary care clinics in the contiguous 48 states.

PATIENTS

444,418 patients with diabetes treated with OHAs and seen in 158 hospital-based clinics and 401 affiliated community primary care clinics during fiscal years 2006 and 2007.

MAIN MEASURES

Refill-based medication adherence to OHA.

KEY RESULTS

Adjusting for patient characteristics, the proportion of patients adherent to OHAs ranged from 57 % to 81 % across clinics. Adherence between organizationally affiliated clinics was high (Pearson Correlation = 0.82), and adherence between unaffiliated clinics was low (Pearson Correlation = 0.04).

CONCLUSION

The proportion of patients adherent to OHAs varied widely across VA primary care clinics. Clinic-level adherence was highly correlated to other clinics in the same organizational unit. Further research should identify which factors common to affiliated clinics influence medication adherence.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Figure 1.
Figure 2.
Figure 3.
Figure 4.

Similar content being viewed by others

REFERENCES

  1. Cramer JA. A systematic review of adherence with medications for diabetes. Diabetes Care. 2004;27(5):1218–24.

    Article  PubMed  Google Scholar 

  2. Choudhry NK, Avorn J, Glynn RJ, et al. Full coverage for preventive medications after myocardial infarction. N Engl J Med. 2011;365(22):2088–97.

    Article  PubMed  CAS  Google Scholar 

  3. Haynes RB, Yao X, Degani A, Kripalani S, Garg A, McDonald HP. Interventions to enhance medication adherence. Cochrane Database Syst Rev. 2005(4):CD000011.

  4. http://www.va.gov/primarycare/pcmh/. Accessed 12/24/12

  5. Chapko MK, Borowsky SJ, Fortney JC, et al. Evaluation of the Department of Veterans Affairs community-based outpatient clinics. Med Care. 2002;40(7):555–60.

    Article  PubMed  Google Scholar 

  6. Piette JD, Schillinger D, Potter MB, Heisler M. Dimensions of patient-provider communication and diabetes self-care in an ethnically diverse population. J Gen Intern Med. 2003;18(8):624–33.

    Article  PubMed  Google Scholar 

  7. Piette JD, Bibbins-Domingo K, Schillinger D. Health care discrimination, processes of care, and diabetes patients’ health status. Patient Educ Couns. 2006;60(1):41–8.

    Article  PubMed  Google Scholar 

  8. Piette JD, Heisler M, Horne R, Caleb AG. A conceptually based approach to understanding chronically ill patients’ responses to medication cost pressures. Soc Sci Med. 2006;62(4):846–57.

    Article  PubMed  Google Scholar 

  9. Heisler M, Vijan S, Makki F, Piette JD. Diabetes control with reciprocal peer support versus nurse care management: a randomized trial. Ann Intern Med. 2010;153(8):507–15.

    Article  PubMed  Google Scholar 

  10. Miller DR, Safford MM, Pogach LM. Who has diabetes? Best estimates of diabetes prevalence in the Department of Veterans Affairs based on computerized patient data. Diabetes Care. 2004;27(Suppl 2):B10–21.

    Article  PubMed  Google Scholar 

  11. Wong ES, Piette JD, Liu CF, et al. Measures of adherence to oral hypoglycemic agents at the primary care clinic level: the role of risk adjustment. Med Care. 2012;50(7):591–8.

    Google Scholar 

  12. Bryson CL, Au DH, Young B, McDonell MB, Fihn SD. A refill adherence algorithm for multiple short intervals to estimate refill compliance (ReComp). Med Care. 2007;45:497–504.

    Article  PubMed  Google Scholar 

  13. Steiner JF, Prochazka AV. The assessment of refill compliance using pharmacy records: methods, validity, and applications. J Clin Epidemiol. 1997;50(1):105–16.

    Article  PubMed  CAS  Google Scholar 

  14. Andrade SE, Kahler KH, Frech F, Chan KA. Methods for evaluation of medication adherence and persistence using automated databases. Pharmacoepidemiol Drug Saf. 2006;15(8):565–74.

    Article  PubMed  Google Scholar 

  15. Cohen HW, Shmukler C, Ullman R, Rivera CM, Walker EA. Measurements of medication adherence in diabetic patients with poorly controlled HbA(1c). Diabet Med. 2010;27(2):210–6.

    Article  PubMed  CAS  Google Scholar 

  16. Hansen RA, Kim MM, Song L, Tu W, Wu J, Murray MD. Comparison of methods to assess medication adherence and classify nonadherence. Ann Pharmacother. 2009;43(3):413–22.

    Article  PubMed  Google Scholar 

  17. Efron BT. R. bootstrap methods for standard errors, confidence intervals, and other measures of statistical accuracy. Stat Sci. 1986;1(1):54–75.

    Article  Google Scholar 

  18. Crawford SL. Correlation and regression. Circulation. 2006;114(19):2083–8.

    Article  PubMed  Google Scholar 

  19. Lin EH, Katon W, Von Korff M, et al. Relationship of depression and diabetes self-care, medication adherence, and preventive care. Diabetes Care. 2004;27(9):2154–60.

    Article  PubMed  Google Scholar 

  20. Vermeire E, Wens J, Van Royen P, Biot Y, Hearnshaw H, Lindenmeyer A. Interventions for improving adherence to treatment recommendations in people with type 2 diabetes mellitus. Cochrane Database Syst Rev. 2005;(2):CD003638.

  21. Rose AJ, Hylek EM, Ozonoff A, Ash AS, Reisman JI, Berlowitz DR. Risk-adjusted percent time in therapeutic range as a quality indicator for outpatient oral anticoagulation: results of the Veterans Affairs Study to Improve Anticoagulation (VARIA). Circ Cardiovasc Qual Outcomes. 2011;4(1):22–9.

    Article  PubMed  Google Scholar 

  22. Krumholz HM, Curry LA, Bradley EH. Survival after acute myocardial infarction (SAMI) study: the design and implementation of a positive deviance study. Am Heart J. 2011;162(6):981–7. e989.

    Article  PubMed  Google Scholar 

  23. Anderson MA, Helms LB. Comparison of continuing care communication. Image J Nurs Sch. 1998;30(3):255–60.

    Article  PubMed  CAS  Google Scholar 

  24. Risser DT, Rice MM, Salisbury ML, Simon R, Jay GD, Berns SD. The potential for improved teamwork to reduce medical errors in the emergency department. The MedTeams Research Consortium. Ann Emerg Med. 1999;34(3):373–83.

    Article  PubMed  CAS  Google Scholar 

  25. Weiner BJ, Shortell SM, Alexander J. Promoting clinical involvement in hospital quality improvement efforts: the effects of top management, board, and physician leadership. Health Serv Res. 1997;32(4):491–510.

    PubMed  CAS  Google Scholar 

  26. Lammers JC, Cretin S, Gilman S, Calingo E. Total quality management in hospitals: the contributions of commitment, quality councils, teams, budgets, and training to perceived improvement at Veterans Health Administration hospitals. Med Care. 1996;34(5):463–78.

    Article  PubMed  CAS  Google Scholar 

  27. Jackson D, White I, Kostis JB, et al. Systematically missing confounders in individual participant data meta-analysis of observational cohort studies. Stat Med. 2009;28(8):1218–37.

    Article  PubMed  Google Scholar 

  28. Blundell R, Windmeijer F. Identifying demand for health resources using waiting times information. Health Econ. 2000;9(6):465–74.

    Article  PubMed  CAS  Google Scholar 

Download references

Acknowledgements

This research was supported by an Investigator Initiated Research Award (IIR 07-068-2) from the Department of Veterans Affairs, Health Services Research and Development. Dr. Bryson was supported by VA Career Development Award 03-177. Dr. Jackson was supported for a portion of this project by a VA Career Development Award. Dr. Piette is a VA Senior Research Career Scientist; Dr. Maciejewski and Dr. Yano are VA Research Career Scientists. Dr. Wong was supported by VA Health Services Research and Development Postdoctoral Fellowship TPP 61-024. An earlier version of this manuscript was presented as a poster at the Society of General Internal Medicine 32nd Annual Meeting in Miami, FL in 2009. Dr. Bryson takes responsibility for the integrity of the data and the accuracy of the data analysis. The views expressed in this article are those of the authors and do not necessarily reflect the position or policy of the Department of Veterans Affairs.

All authors are federal employees for the Department of Veterans Affairs. Dr. Au has received consultation funds from Bosch Inc. and a grant from Gilead Sciences. Dr. Maciejewski has received consultation funds from Takeda Pharmaceuticals, Novartis and the Surgical Review Corporation. Dr. Maciejewski also owns stock in Amgen.

Conflict of Interest

The authors declare that they do not have a conflict of interest.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Chris L. Bryson MD, MS.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Bryson, C.L., Au, D.H., Maciejewski, M.L. et al. Wide Clinic-Level Variation in Adherence to Oral Diabetes Medications in the VA. J GEN INTERN MED 28, 698–705 (2013). https://doi.org/10.1007/s11606-012-2331-y

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11606-012-2331-y

KEY WORDS

Navigation