The Kuwait Health Network: an integrated approach to supporting quality improvement of diabetes care in Kuwait

N. T. Conway, A. Alkuzam, A. Bell, A. Judson, S. Al Mansour, S. Al Ali, J. Al Faraj, S. Al Musallam, C. Kelly, D. Sibbald, D. J. Wake, A. Morris, K. Behbehani

    Research output: Contribution to conferencePosterpeer-review

    Abstract

    The Kuwait Health Network (KHN) informatics system supports management of patients with diabetes in Kuwait – approximately 24% of the population. KHN is an outcome-focused analytical application that integrates multiple source data providing an instant epidemiological snapshot regarding current provisions of care Methods KHN v1.0 was implemented in Feb 2013 in 4 primary health centres (Kuwait capital region). A secure network with both role and domain based access links laboratory data with a disease registry (defined dataset of coded clinical terms). Additional data entry is completed during episodes of care. KHN assesses adherence to Quality Performance Indicators (QPIs) based on Kuwait national clinical standards. In addition to viewing results via an online analytics module, HCPs can access QPI summaries in a print/tablet-friendly format (automated report generator). A similar approach will provide patients with individually tailored summaries. Results As of April 2013, 4390 registered patients, 4305 (98.1%) with T2DM Recorded (last 15 months) HbA1C Lipids BMI BP 68.4% (3006) 37.5%
(1645) 46.1%
(2026) 62.0%
(2721) Targets HbA1C <53mmol/mol HbA1C >75mmol/mol Cholesterol <5.2mmol/mol BMI 18-24.9kg/m2 BMI ≥30kg/m2 BP <130/80mmHg 25.8% 
(95%CI 24.3-27.4) 29.9% 
(95%CI 28.3-31.6) 81.2% 
(95%CI 79.2-83.1) 25.7% (95%CI 23.8-27.7) 33.3% (95%CI 31.2-35.4) 37.0% 
(95%CI 35.2-38.8) Conclusion Despite best efforts of HCPs, large numbers of patients with diabetes in Kuwait are not meeting national clinical standards. If representative, the Kuwaiti diabetic population is at significant risk of developing disease complications. KHN can provide instantly accessible and robust population level data to enable the effective targeting of quality improvement interventions.
    Original languageEnglish
    Publication statusPublished - 2014
    Event7th International Conference on Advanced Technologies & Treatments for Diabetes - Reed Messe Wien GmbH Congress Center , Vienna, Austria
    Duration: 5 Feb 20148 Feb 2014
    http://www2.kenes.com/attd/Pages/Home.aspx

    Conference

    Conference7th International Conference on Advanced Technologies & Treatments for Diabetes
    Abbreviated titleATTD 2014
    Country/TerritoryAustria
    CityVienna
    Period5/02/148/02/14
    Internet address

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