Should mitigating comorbidities be considered in assessing healthcare plan performance in achieving optimal glycemic control?

被引:0
|
作者
Pogach, Leonard M.
Tiwari, Anjali
Maney, Miriam
Rajan, Mangala
Miller, Donald R.
Aron, David
机构
[1] Dept Vet Affairs, New Jersey Healthcare Syst, Hlth Serv Res & Dev Ctr Healthcare Knowledge Mana, E Orange, NJ 07018 USA
[2] Univ Med & Dent New Jersey, New Jersey Dent Sch, Newark, NJ 07103 USA
[3] Louis Stokes Cleveland Dept Vet Affairs Med Ctr, Cleveland, OH USA
[4] Case Western Reserve Univ, Cleveland, OH 44106 USA
[5] Boston Univ, Sch Publ Hlth, Boston, MA USA
[6] Bedford Vet Affairs Med Ctr, Ctr Hlth Qual Outcomes & Econ Res, Bedford, MA USA
来源
AMERICAN JOURNAL OF MANAGED CARE | 2007年 / 13卷 / 03期
关键词
D O I
暂无
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
Background: Whether a public reporting measure for glycosylated hemoglobin (A1C) of less than 7% should apply to all persons with diabetes mellitus is a matter of ongoing controversy. Objective: To evaluate the effect of excluding persons with major medical or mental health conditions on assessment of healthcare system performance in achieving an A1C level of less than 7%. Design and Setting: Retrospective longitudinal administrative data analysis from 144 Veterans Health Administration medical centers. Subjects: Veterans with diabetes mellitus younger than 65 years who were users of Veterans Health Administration healthcare in fiscal years 1999 and 2000. Major Outcome Variables: The proportions, 5-year mortality, and glycemic control of individuals with and without major comorbid conditions, as well as changes in league table rankings of facilities achieving an A1C threshold of less than 7% with and without the inclusion of seriously ill individuals. Results: There were 220 922 subjects identified from 144 facilities. We identified 75 296 individuals (mean +/- SD facility range of excluded individuals, 33.3% +/- 5.3%) with conditions that would decrease the benefits or increase risks of glycemic control. The 5-year unadjusted mortality was 36.0% in 48 001 subjects (21.7%) excluded for major medical or neurological conditions, 14.9% in 17 515 subjects (7.9%) excluded for major mental health conditions, and 16.5% in 9780 subjects (4.4%) excluded for 2 or more other serious comorbid medical or psychological conditions, compared with 8.8% in the remaining subjects. A comparison of industry league table rankings indicated that 20% of the best and worse facilities changed 1 decile when ranking using exclusion criteria. Conclusion: One in 3 veterans has comorbid conditions that would increase the risks or decrease the benefits of intensive glycemic control. We propose that a public reporting measure for A1C of less than 7% be subjected to exclusion criteria rather than be applied to all persons with diabetes mellitus.
引用
收藏
页码:133 / 140
页数:8
相关论文
共 24 条
  • [1] Assessing health care plan performance in achieving intensive glycemic control: Defining the denominator
    Tiwari, Anjali
    Pogach, Leonard M.
    Maney, Miriam
    Rajan, Mangala
    Miller, Donald R.
    [J]. DIABETES, 2006, 55 : A275 - A275
  • [2] Provider Beliefs on Optimal Glycemic Control and Barriers to Achieving It
    Leblanc, Erin
    Rosales, A. Gabriela
    Kachroo, Sumesh
    Mukher-Jee, Jayanti
    Funk, Kristine L.
    Schneider, Jennifer L.
    Nichols, Gregory
    [J]. DIABETES, 2014, 63 : A85 - A85
  • [3] Achieving glycemic control: Should education classes be separated by type of diabetes?
    Smaldone, A
    Ganda, OP
    Caballero, AE
    McMurrich, S
    Hannagan, K
    Lin, SS
    Cleary, C
    Jackson, S
    Weinger, K
    [J]. DIABETES, 2005, 54 : A75 - A75
  • [4] Impact of self-reported social and health data upon facility level performance in achieving optimal glycemic control
    Maney, Miriam
    Tseng, Chin-Lin
    Safford, Monika M.
    Miller, Donald R.
    Pogach, Leonard M.
    [J]. DIABETES, 2006, 55 : A273 - A273
  • [5] Mitigating case mix factors by choice of glycemic control performance measure threshold
    Bainbridge, Kathleen E.
    Cowie, Catherine C.
    Rust, Keith F.
    Fradkin, Judith E.
    [J]. DIABETES CARE, 2008, 31 (09) : 1754 - 1760
  • [6] Barriers to Achieving Optimal Glycemic Control in a Multi-Ethnic Society: A US Focus
    Dagogo-Jack, Samuel
    Funnell, Martha M.
    Davidson, Jaime
    [J]. CURRENT DIABETES REVIEWS, 2006, 2 (03) : 285 - 293
  • [7] Performance Improvement Measures in Achieving Glycemic Control in the Acute Brain Injury Population
    Moyer, Megan T.
    [J]. JOURNAL OF NEUROSCIENCE NURSING, 2009, 41 (02) : 72 - 82
  • [8] Chronic Illness with Complexity: Implications for Performance Measurement of Optimal Glycemic Control
    Pramod Meduru
    Drew Helmer
    Mangala Rajan
    Chin-Lin Tseng
    Leonard Pogach
    Usha Sambamoorthi
    [J]. Journal of General Internal Medicine, 2007, 22 : 408 - 418
  • [9] Chronic illness with complexity: Implication for performance measurement of optimal glycemic control
    Meduru, Pramod
    Helmer, Drew
    Rajan, Mongala
    Tseng, Chin-Lin
    Pogoch, Leonard
    Sambamoorthi, Usha
    [J]. JOURNAL OF GENERAL INTERNAL MEDICINE, 2007, 22 (Suppl 3) : 408 - 418
  • [10] Frequency of Patients with Coronary Artery Disease Achieving Optimal Glycemic Control at Tertiary Care Hospital, Karachi
    Sharafuddin
    Shaikh, Javed Khurshed
    Kalwar, Muhammad Hashim
    Butt, Muhammad Hassan
    Sahito, Sarfraz Hussain
    Kanhar, Muhammad Rafique
    [J]. PAKISTAN JOURNAL OF MEDICAL & HEALTH SCIENCES, 2021, 15 (06): : 1937 - 1940