期刊论文详细信息
BMC Health Services Research
Mental illness and intensification of diabetes medications: an observational cohort study
Rudolf Moos3  Tina T Lee3  Kaajal J Laungani2  Leonard M Pogach1  Donald R Miller4  Dan R Berlowitz4  Mary K Goldstein6  Eric Berg2  Tyson H Holmes3  Susan M Frayne5 
[1] Rutgers University-New Jersey Medical School, Newark, NJ, USA;Department of Veterans Affairs HSR&D Center for Innovation to Implementation (Ci2i), VA Palo Alto Health Care System, 795 Willow Road (152-MPD), Menlo Park, CA 94025, USA;Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA;Department of Health Policy and Management, Boston University School of Public Health, Boston, MA, USA;Center for Primary Care and Outcomes Research, Stanford University, Stanford, CA, USA;Department of Veterans Affairs Geriatrics Research Education and Clinical Center (GRECC), VA Palo Alto Health Care System, Palo Alto, CA, USA
关键词: Health services research;    Veterans;    Hypoglycemic agents/therapeutic use;    Health care delivery;    Diabetes mellitus/therapy;    Psychiatric diagnosis;   
Others  :  1125867
DOI  :  10.1186/1472-6963-14-458
 received in 2014-02-26, accepted in 2014-09-08,  发布年份 2014
PDF
【 摘 要 】

Background

Mental health condition (MHC) comorbidity is associated with lower intensity care in multiple clinical scenarios. However, little is known about the effect of MHC upon clinicians’ decisions about intensifying antiglycemic medications in diabetic patients with poor glycemic control. We examined whether delay in intensification of antiglycemic medications in response to an elevated Hemoglobin A1c (HbA1c) value is longer for patients with MHC than for those without MHC, and whether any such effect varies by specific MHC type.

Methods

In this observational study of diabetic Veterans Health Administration (VA) patients on oral antiglycemics with poor glycemic control (HbA1c ≥8) (N =52,526) identified from national VA databases, we applied Cox regression analysis to examine time to intensification of antiglycemics after an elevated HbA1c value in 2003–2004, by MHC status.

Results

Those with MHC were no less likely to receive intensification: adjusted Hazard Ratio [95% CI] 0.99 [0.96-1.03], 1.13 [1.04-1.23], and 1.12 [1.07-1.18] at 0–14, 15–30 and 31–180 days, respectively. However, patients with substance use disorders were less likely than those without substance use disorders to receive intensification in the first two weeks following a high HbA1c, adjusted Hazard Ratio 0.89 [0.81-0.97], controlling for sex, age, medical comorbidity, other specific MHCs, and index HbA1c value.

Conclusions

For most MHCs, diabetic patients with MHC in the VA health care system do not appear to receive less aggressive antiglycemic management. However, the subgroup with substance use disorders does appear to have excess likelihood of non-intensification; interventions targeting this high risk subgroup merit attention.

【 授权许可】

   
2014 Frayne et al.; licensee BioMed Central Ltd.

【 预 览 】
附件列表
Files Size Format View
20150218020304289.pdf 543KB PDF download
Figure 1. 26KB Image download
【 图 表 】

Figure 1.

【 参考文献 】
  • [1]Institute Of Medicine Committee on Quality Health Care in America: Crossing the Quality Chasm: A New Health System for the 21st Century. Washington, DC: National Academy Press; 2001.
  • [2]Kahn KL, Tisnado DM, Adams JL, Liu H, Chen WP, Hu FA, Mangione CM, Hays RD, Damberg CL: Does ambulatory process of care predict health-related quality of life outcomes for patients with chronic disease? Health Serv Res 2007, 42(1 Pt 1):63-83.
  • [3]Fleming BB, Greenfield S, Engelgau MM, Pogach LM, Clauser SB, Parrott MA: The Diabetes Quality Improvement Project: moving science into health policy to gain an edge on the diabetes epidemic. Diabetes Care 2001, 24(10):1815-1820.
  • [4]McEwen LN, Bilik D, Johnson SL, Halter JB, Karter AJ, Mangione CM, Subramanian U, Waitzfelder B, Crosson JC, Herman WH: Predictors and impact of intensification of antihyperglycemic therapy in type 2 diabetes: translating research into action for diabetes (TRIAD). Diabetes Care 2009, 32(6):971-976.
  • [5]Intensive blood-glucose control with sulphonylureas or insulin compared with conventional treatment and risk of complications in patients with type 2 diabetes (UKPDS 33). UK Prospective Diabetes Study (UKPDS) Group Lancet 1998, 352(9131):837-853.
  • [6]Phillips LS, Branch WT, Cook CB, Doyle JP, El-Kebbi IM, Gallina DL, Miller CD, Ziemer DC, Barnes CS: Clinical inertia. Ann Intern Med 2001, 135(9):825-834.
  • [7]Pogach LM, Tiwari A, Maney M, Rajan M, Miller DR, Aron D: Should mitigating comorbidities be considered in assessing healthcare plan performance in achieving optimal glycemic control? Am J Manag Care 2007, 13(3):133-140.
  • [8]Redelmeier DA, Tan SH, Booth GL: The treatment of unrelated disorders in patients with chronic medical diseases. N Engl J Med 1998, 338(21):1516-1520.
  • [9]Frayne SM, Halanych JH, Miller DR, Wang F, Lin H, Pogach L, Sharkansky EJ, Keane TM, Skinner KM, Rosen CS, Berlowitz DR: Disparities in diabetes care: impact of mental illness. Arch Intern Med 2005, 165(22):2631-2638.
  • [10]Desai MM, Rosenheck RA, Druss BG, Perlin JB: Mental disorders and quality of diabetes care in the Veterans Health Administration. Am J Psychiatry 2002, 159(9):1584-1590.
  • [11]Jones LE, Clarke W, Carney CP: Receipt of diabetes services by insured adults with and without claims for mental disorders. Med Care 2004, 42(12):1167-1175.
  • [12]Goldberg RW, Kreyenbuhl JA, Medoff DR, Dickerson FB, Wohlheiter K, Fang LJ, Brown CH, Dixon LB: Quality of diabetes care among adults with serious mental illness. Psychiatr Serv 2007, 58(4):536-543.
  • [13]Mitchell AJ, Lord O, Malone D: Differences in the prescribing of medication for physical disorders in individuals with v. without mental illness: meta-analysis. Br J Psychiatry 2012, 201(6):435-443.
  • [14]Weiss AP, Henderson DC, Weilburg JB, Goff DC, Meigs JB, Cagliero E, Grant RW: Treatment of cardiac risk factors among patients with schizophrenia and diabetes. Psychiatr Serv 2006, 57(8):1145-1152.
  • [15]Katon W, Russo J, Lin EH, Heckbert SR, Karter AJ, Williams LH, Ciechanowski P, Ludman E, Von Korff M: Diabetes and poor disease control: is comorbid depression associated with poor medication adherence or lack of treatment intensification? Psychosom Med 2009, 71(9):965-972.
  • [16]Lustman PJ, Anderson RJ, Freedland KE, de Groot M, Carney RM, Clouse RE: Depression and poor glycemic control: a meta-analytic review of the literature. Diabetes Care 2000, 23(7):934-942.
  • [17]Hankin CS, Spiro A 3rd, Miller DR, Kazis L: Mental disorders and mental health treatment among U.S. Department of Veterans Affairs outpatients: the Veterans Health Study. Am J Psychiatry 1999, 156(12):1924-1930.
  • [18]Kazis LE, Miller DR, Clark J, Skinner K, Lee A, Rogers W, Spiro A 3rd, Payne S, Fincke G, Selim A, Linzer M: Health-related quality of life in patients served by the Department of Veterans Affairs: results from the Veterans Health Study. Arch Intern Med 1998, 158(6):626-632.
  • [19]Frayne SM, Parker VA, Christiansen CL, Loveland S, Seaver MR, Kazis LE, Skinner KM: Health Status Among 28,000 Women Veterans. The VA Women’s Health Program Evaluation Project. J Gen Intern Med 2006, 21(s3):S40-S46.
  • [20]Frayne SM, Phibbs CS, Saechao F, Maisel NC, Friedman SA, Finlay A, Berg E, Balasubramanian V, Dally SK, Ananth L, Romodan Y, Lee J, Iqbal S, Hayes PM, Zephyrin L, Whitehead A, Torgal A, Katon JG, Haskell S: Sourcebook: Women Veterans in the Veterans Health Administration. Washington DC: Women’s Health Evaluation Initiative, Women’s Health Services, Veterans Health Administration, Department of Veterans Affairs; 2014. [Sociodemographics, Utilization, Costs of Care, and Health Profile, Volume 3] Available at http://www.womenshealth.va.gov/WOMENSHEALTH/docs/Sourcebook_Vol%203_FINAL.pdf webcite
  • [21]Seal KH, Metzler TJ, Gima KS, Bertenthal D, Maguen S, Marmar CR: Trends and risk factors for mental health diagnoses among Iraq and Afghanistan veterans using Department of Veterans Affairs health care, 2002–2008. Am J Public Health 2009, 99(9):1651-1658.
  • [22]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-B21.
  • [23]Jha AK, Perlin JB, Kizer KW, Dudley RA: Effect of the transformation of the Veterans Affairs Health Care System on the quality of care. N Engl J Med 2003, 348(22):2218-2227.
  • [24]Shah BR, Hux JE, Laupacis A, Zinman B, van Walraven C: Clinical inertia in response to inadequate glycemic control: do specialists differ from primary care physicians? Diabetes Care 2005, 28(3):600-606.
  • [25]Pogach LM, Brietzke SA, Cowan CL Jr, Conlin P, Walder DJ, Sawin CT: Development of evidence-based clinical practice guidelines for diabetes: the Department of Veterans Affairs/Department of Defense guidelines initiative. Diabetes Care 2004, 27(Suppl 2):B82-B89.
  • [26]Frayne SM, Miller DR, Sharkansky EJ, Jackson VW, Wang F, Halanych JH, Berlowitz DR, Kader B, Rosen CS, Keane TM: Using administrative data to identify mental illness: what approach is best? Am J Med Qual 2010, 25(1):42-50.
  • [27]Putter H, Fiocco M, Geskus RB: Tutorial in biostatistics: competing risks and multi-state models. Stat Med 2007, 26(11):2389-2430.
  • [28]Selim A, Fincke G, Ren X, Lee A, Rogers W, Miller D, Linzer M, Kazis L: The Comorbidity Index. In Measuring and Managing Health Care Quality, Volume 4. Edited by Goldfield N, Pine M, Pine J. New York: Aspen; 2002:91-94.
  • [29]Harrell FE Jr: Regression Modeling Strategies: with application to linear models, logistic regression, and survival analysis. New York: Springer-Verlag; 2010.
  • [30]Rosthoj S, Andersen PK, Abildstrom SZ: SAS macros for estimation of the cumulative incidence functions based on a Cox regression model for competing risks survival data. Comput Methods Programs Biomed 2004, 74(1):69-75.
  • [31]Druss BG, Bradford DW, Rosenheck RA, Radford MJ, Krumholz HM: Mental disorders and use of cardiovascular procedures after myocardial infarction. JAMA 2000, 283(4):506-511.
  • [32]Druss BG, Rosenheck RA, Desai MM, Perlin JB: Quality of preventive medical care for patients with mental disorders. Med Care 2002, 40(2):129-136.
  • [33]Williams LH, Miller DR, Fincke G, Lafrance JP, Etzioni R, Maynard C, Raugi GJ, Reiber GE: Depression and incident lower limb amputations in veterans with diabetes. J Diabetes Complications 2010, 25(3):175-182.
  • [34]Petersen LA, Normand SL, Druss BG, Rosenheck RA: Process of care and outcome after acute myocardial infarction for patients with mental illness in the VA health care system: are there disparities? Health Serv Res 2003, 38(1 Pt 1):41-63.
  • [35]Brown CH, Medoff D, Dickerson FB, Kreyenbuhl JA, Goldberg RW, Fang L, Dixon LB: Long-term glucose control among type 2 diabetes patients with and without serious mental illness. J Nerv Ment Dis 2011, 199(11):899-902.
  • [36]Krein SL, Bingham CR, McCarthy JF, Mitchinson A, Payes J, Valenstein M: Diabetes Treatment Among VA Patients With Comorbid Serious Mental Illness. Psychiatr Serv 2006, 57(7):1016-1021.
  • [37]Heisler M, Hogan MM, Hofer TP, Schmittdiel JA, Pladevall M, Kerr EA: When more is not better: treatment intensification among hypertensive patients with poor medication adherence. Circulation 2008, 117(22):2884-2892.
  • [38]Arici C, Ripamonti D, Maggiolo F, Rizzi M, Finazzi MG, Pezzotti P, Suter F: Factors associated with the failure of HIV-positive persons to return for scheduled medical visits. HIV Clin Trials 2002, 3(1):52-57.
  • [39]VA/DOD Clinical Practice Guideline for the Management of Diabetes Mellitus, Version 4.0. [http://www.healthquality.va.gov/ webcite]
  • [40]Hall JA, Roter DL, Milburn MA, Daltroy LH: Patients’ health as a predictor of physician and patient behavior in medical visits. A synthesis of four studies. Med Care 1996, 34(12):1205-1218.
  • [41]Lustman PJ, Griffith LS, Freedland KE, Kissel SS, Clouse RE: Cognitive behavior therapy for depression in type 2 diabetes mellitus. A randomized, controlled trial. Ann Intern Med 1998, 129(8):613-621.
  • [42]Perez-Stable EJ, Miranda J, Munoz RF, Ying YW: Depression in medical outpatients. Underrecognition and misdiagnosis. Arch Intern Med 1990, 150(5):1083-1088.
  • [43]van Walraven C, Davis D, Forster AJ, Wells GA: Time-dependent bias was common in survival analyses published in leading clinical journals. J Clin Epidemiol 2004, 57(7):672-682.
  • [44]Fine JP, Jiang H, Chappell R: On Semi-Competing Risks Data. Biometrika 2001, 88(4):907-919.
  • [45]Kessler RC, Berglund P, Demler O, Jin R, Merikangas KR, Walters EE: Lifetime prevalence and age-of-onset distributions of DSM-IV disorders in the National Comorbidity Survey Replication. Arch Gen Psychiatry 2005, 62(6):593-602.
  • [46]Berlowitz DR, Ash AS, Hickey EC, Friedman RH, Glickman M, Kader B, Moskowitz MA: Inadequate management of blood pressure in a hypertensive population. N Engl J Med 1998, 339(27):1957-1963.
  • [47]Sullivan G, Han X, Moore S, Kotrla K: Disparities in Hospitalization for Diabetes Among Persons With and Without Co-occurring Mental Disorders. Psychiatr Serv 2006, 57(8):1126-1131.
  • [48]Keyser DJ, Houtsinger JK, Watkins K, Pincus HA: Applying the institute of medicine quality chasm framework to improving health care for mental and substance use conditions. Psychiatr Clin North Am 2008, 31(1):43-56.
  文献评价指标  
  下载次数:0次 浏览次数:7次