Literature DB >> 18219241

Cross-sectional versus sequential quality indicators of risk factor management in patients with type 2 diabetes.

Jaco Voorham1, Petra Denig, Bruce H R Wolffenbuttel, Flora M Haaijer-Ruskamp.   

Abstract

BACKGROUND: The fairness of quality assessment methods is under debate. Quality indicators incorporating the longitudinal nature of care have been advocated but their usefulness in comparison to more commonly used cross-sectional measures is not clear. AIMS: To compare cross-sectional and sequential quality indicators for risk factor management in patients with type 2 diabetes.
METHODS: The study population consisted of 1912 patients who received diabetes care from one of 40 general practitioners in The Netherlands. Clinical outcomes, prescriptions, and demographic data were collected from electronic medical records. Quality was assessed for glycemic, blood pressure, and lipid control using indicators focusing on clinical outcomes, and treatment in relation to outcomes. Indicator results were compared with a reference method based on national guidelines for general practice.
RESULTS: According to the reference method, 76% of the patients received management as recommended for glycemic control, 58% for blood pressure control, and 67% for lipid control. Cross-sectional indicators looking at patients adequately controlled gave estimates that were 10-25% lower than the reference method. Estimates from indicators focusing on uncontrolled patients receiving treatment were 10-40% higher than the reference method for blood pressure and glycemic control. Sequential indicators focusing on improvement in clinical outcomes or assessing treatment modifications in response to poor control gave results closer to the reference method.
CONCLUSIONS: Sequential indicators are valuable for estimating quality of risk factor management in patients with diabetes. Such indicators may provide a more accurate and fair judgment than currently used cross-sectional indicators.

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Year:  2008        PMID: 18219241     DOI: 10.1097/MLR.0b013e31815b9da0

Source DB:  PubMed          Journal:  Med Care        ISSN: 0025-7079            Impact factor:   2.983


  7 in total

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3.  Treatment intensification and risk factor control: toward more clinically relevant quality measures.

Authors:  Joseph V Selby; Connie S Uratsu; Bruce Fireman; Julie A Schmittdiel; Tiffany Peng; Nicolas Rodondi; Andrew J Karter; Eve A Kerr
Journal:  Med Care       Date:  2009-04       Impact factor: 2.983

4.  Do treatment quality indicators predict cardiovascular outcomes in patients with diabetes?

Authors:  Grigory Sidorenkov; Jaco Voorham; Dick de Zeeuw; Flora M Haaijer-Ruskamp; Petra Denig
Journal:  PLoS One       Date:  2013-10-30       Impact factor: 3.240

5.  Clinical action measures improve the reliability of feedback on quality of care in diabetes centres: a retrospective cohort study.

Authors:  Astrid Lavens; Kris Doggen; Chantal Mathieu; Frank Nobels; Evy Vandemeulebroucke; Michel Vandenbroucke; Ann Verhaegen; Viviane Van Casteren
Journal:  BMC Health Serv Res       Date:  2016-08-23       Impact factor: 2.655

6.  Prescribing quality in secondary care patients with different stages of chronic kidney disease: a retrospective study in the Netherlands.

Authors:  Kirsten Pj Smits; Grigory Sidorenkov; Frans J van Ittersum; Femke Waanders; Henk Jg Bilo; Gerjan J Navis; Petra Denig
Journal:  BMJ Open       Date:  2019-07-19       Impact factor: 2.692

7.  Prescribing Data in General Practice Demonstration (PDGPD) project--a cluster randomised controlled trial of a quality improvement intervention to achieve better prescribing for chronic heart failure and hypertension.

Authors:  Margaret Williamson; Magnolia Cardona-Morrell; Jeffrey D Elliott; James F Reeve; Nigel P Stocks; Jon Emery; Judith M Mackson; Jane M Gunn
Journal:  BMC Health Serv Res       Date:  2012-08-23       Impact factor: 2.655

  7 in total

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