Exploring geographic variation of and influencing factors for utilization of four diabetes management measures in Swiss population using claims data

被引:3
作者
Wei, Wenjia [1 ]
Gruebner, Oliver [1 ,2 ]
von Wyl, Viktor [1 ]
Dressel, Holger [3 ,4 ]
Ulyte, Agne [1 ]
Bruengger, Beat [1 ,5 ]
Blozik, Eva [5 ,6 ]
Baehler, Caroline [1 ,5 ]
Braun, Julia [7 ,8 ]
Schwenkglenks, Matthias [1 ]
机构
[1] Univ Zurich, Dept Epidemiol, Epidemiol Biostat & Prevent Inst, Zurich, Switzerland
[2] Univ Zurich, Dept Geog, Zurich, Switzerland
[3] Univ Zurich, Div Occupat & Environm Med, Dept Epidemiol, Epidemiol Biostat & Prevent Inst, Zurich, Switzerland
[4] Univ Hosp Zurich, Zurich, Switzerland
[5] Helsana Versicherungen AG, Dept Hlth Sci, Dubendorf, Switzerland
[6] Univ Med Ctr Freiburg, Div Gen Practice, Fribourg, Baden Wurttembe, Switzerland
[7] Univ Zurich, Dept Biostat, Epidemiol Biostatist & Prevent Inst, Zurich, Switzerland
[8] Univ Zurich, Dept Epidemiol, Epidemiol Biostatist & Prevent Inst, Zurich, Switzerland
基金
瑞士国家科学基金会;
关键词
health care utilization; health service research; guideline adherence; HEALTH-CARE UTILIZATION; GENDER-DIFFERENCES; GUIDELINES; ADHERENCE; SWITZERLAND; OUTCOMES; MODELS; COSTS;
D O I
10.1136/bmjdrc-2019-001059
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Introduction Four strongly recommended diabetes management measures are biannual glycated hemoglobin (HbA1c) testing, annual eye examination, kidney function examination, and low-density lipoprotein (LDL) testing in patients below 75 years. We aimed to describe regional variation in the utilization of the four measures across small regions in Switzerland and to explore potential influencing factors. Research design and methods We conducted a cross-sectional study of adult patients with drug-treated diabetes in 2014 using claims data. Four binary outcomes represented adherence to the recommendations. Possible influencing factors included sociodemographics, health insurance preferences, and clinical characteristics. We performed multilevel modeling with Medstat regions as the higher level. We calculated the median odds ratio (MOR) and checked spatial autocorrelation in region level residuals using Moran's I statistic. When significant, we further conducted spatial multilevel modeling. Results Of 49 198 patients with diabetes (33 957 below 75 years), 69.6% had biannual HbA1c testing, 44.3% each had annual eye examination and kidney function examination, and 55.5% of the patients below 75 years had annual LDL testing. The effects of health insurance preferences were substantial and consistent. Having any supplementary insurance (ORs across measures were between 1.08 and 1.28), having supplementary hospital care insurance (1.08-1.30), having chosen a lower deductible level (eg, SFr2500 compared with SFr300: 0.57-0.69), and having chosen a managed care model (1.04-1.17) were positively associated with recommendations adherence. The MORs (1.27-1.33) showed only moderate unexplained variation, and we observed inconsistent spatial patterns of unexplained variation across the four measures. Conclusion Our findings indicate that the uptake of strongly recommended measures in diabetes management could possibly be optimized by providing further incentives to patients and care providers through insurance scheme design. The absence of marked regional variation implies limited potential for improvement by targeted regional intervention, while provider-specific promotion may be more impactful.
引用
收藏
页数:11
相关论文
共 50 条
  • [1] Ahmann AJ, 2007, AM J MANAG CARE, V13, pS41
  • [2] American Diabetes Association, 2019, Clin Diabetes, V37, P11, DOI 10.2337/cd18-0105
  • [3] [Anonymous], QGIS GEOGR INF SYST
  • [4] [Anonymous], 2011, Variations in health care: the good, the bad and the inexplicable: King's Fund
  • [5] [Anonymous], 2014, FACTS FIG
  • [6] [Anonymous], 2016, DIAB DEF ISS GLOB PU
  • [7] GeoDa:: An introduction to spatial data analysis
    Anselin, L
    Syabri, I
    Kho, Y
    [J]. GEOGRAPHICAL ANALYSIS, 2006, 38 (01) : 5 - 22
  • [8] Eye Care Utilization Among Insured People With Diabetes in the US, 2010-2014
    Benoit, Stephen R.
    Swenor, Bonnielin
    Geiss, Linda S.
    Gregg, Edward W.
    Saaddine, Jinan B.
    [J]. DIABETES CARE, 2019, 42 (03) : 427 - 433
  • [9] How does hospitalization affect continuity of drug therapy: an exploratory study
    Blozik, Eva
    Signorell, Andri
    Reich, Oliver
    [J]. THERAPEUTICS AND CLINICAL RISK MANAGEMENT, 2016, 12 : 1277 - 1283
  • [10] Charlton C, 2019, MLwiN Version 3.04