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Kath Barnard

  • kbarnard at bournemouth dot ac dot uk
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Journal Articles

  • Naranjo, D., Suttiratana, S.C., Iturralde, E., Barnard, K.D., Weissberg-Benchell, J., Laffel, L. and Hood, K.K., 2017. What end users and stakeholders want from automated insulin delivery systems. Diabetes Care, 40 (11), 1453-1461.
  • Sundberg, F., Barnard, K. et al., 2017. Managing diabetes in preschool children. PEDIATRIC DIABETES, 18 (7), 499-517.
  • Farrington, C., Stewart, Z.A., Barnard, K., Hovorka, R. and Murphy, H.R., 2017. Experiences of closed-loop insulin delivery among pregnant women with Type 1 diabetes. DIABETIC MEDICINE, 34 (10), 1461-1469.
  • Schnell, O., Barnard, K. et al., 2017. Role of Continuous Glucose Monitoring in Clinical Trials: Recommendations on Reporting. DIABETES TECHNOLOGY & THERAPEUTICS, 19 (7), 391-399.
  • Cai, R.A., Holt, R.I.G., Casdagli, L., Viner, R.M., Thompson, R., Barnard, K. and Christie, D., 2017. Development of an acceptable and feasible self-management group for children, young people and families living with Type 1 diabetes. DIABETIC MEDICINE, 34 (6), 813-820.
  • Kropff, J., Choudhary, P., Neupane, S., Barnard, K., Bain, S.C., Kapitza, C., Forst, T., Link, M., Dehennis, A. and DeVries, J.H., 2017. Accuracy and Longevity of an Implantable Continuous Glucose Sensor in the PRECISE Study: A 180-Day, Prospective, Multicenter, Pivotal Trial. DIABETES CARE, 40 (1), 63-68.
  • Barnard, K.D. and Blatch-Jones, A., 2016. Web-Based Management Trial of Diabetes Care. Diabetes Technology and Therapeutics, 18 (10), 605-606.
  • Kubiak, T., Mann, C.G., Barnard, K.C. and Heinemann, L., 2016. Psychosocial Aspects of Continuous Glucose Monitoring: Connecting to the Patients' Experience. Journal of Diabetes Science and Technology, 10 (4), 859-863.
  • Barnard, K., Crabtree, V., Adolfsson, P., Davies, M., Kerr, D., Kraus, A., Gianferante, D., Bevilacqua, E. and Serbedzija, G., 2016. Impact of Type 1 Diabetes Technology on Family Members/Significant Others of People with Diabetes. Journal of Diabetes Science and Technology, 10 (4), 824-830.
  • Barnard, K., James, J., Kerr, D., Adolfsson, P., Runion, A. and Serbedzija, G., 2016. Impact of Chronic Sleep Disturbance for People Living with T1 Diabetes. Journal of Diabetes Science and Technology, 10 (3), 762-767.
  • Barnard, K.D. and Weissberg-Benchell, J., 2016. Diabetes and partners. Diabetes Technology and Therapeutics, 18 (5), 278-279.
  • Weissberg-Benchell, J., Barnard, K. et al., 2016. Toward Development of Psychosocial Measures for Automated Insulin Delivery. Journal of Diabetes Science and Technology, 10 (3), 799-801.
  • Barnard, K.D. and Weissberg-Benchell, J., 2016. Psychosocial aspects and diabetes technology-head to head or hand in hand? European Endocrinology, 12 (1), 35-36.
  • Barnard, K.D., Holt, R.I.G., Dyson, P.A., Cummings, M.H., Kanumilli, N., O'Neill, S. and Hall, G., 2016. Could the discrepancy in perceived emotional care received and provided be a barrier to active diabetes selfmanagement? Insights from the second diabetes attitudes, wishes and needs (DAWN2) study. Diabetes Care, 39 (2), e20-e21.
  • Thabit, H., Barnard, K.D. et al., 2015. Home Use of an Artificial Beta Cell in Type 1 Diabetes. NEW ENGLAND JOURNAL OF MEDICINE, 373 (22), 2129-2140.
  • Cavan, D.A., Barnard, K. et al., 2014. Use of an Insulin Bolus Advisor Facilitates Earlier and More Frequent Changes in Insulin Therapy Parameters in Suboptimally Controlled Patients with Diabetes Treated with Multiple Daily Insulin Injection Therapy: Results of the ABACUS Trial. DIABETES TECHNOLOGY & THERAPEUTICS, 16 (5), 310-316.
  • Ziegler, R., Barnard, K. et al., 2013. Use of an Insulin Bolus Advisor Improves Glycemic Control in Multiple Daily Insulin Injection (MDI) Therapy Patients With Suboptimal Glycemic Control First results from the ABACUS trial. DIABETES CARE, 36 (11), 3613-3619.
  • Cavan, D.A., Barnard, K. et al., 2012. Automated bolus advisor control and usability study (ABACUS): does use of an insulin bolus advisor improve glycaemic control in patients failing multiple daily insulin injection (MDI) therapy? [NCT01460446]. BMC FAMILY PRACTICE, 13.

Conferences

  • Barnard, K.D., Barnard, K.D. et al., 2017. Closing the Loop in Adults, Children and Adolescents With Suboptimally Controlled Type 1 Diabetes Under Free Living Conditions: A Psychosocial Substudy. 1080-1088.
  • Barnard, K.D., Regmi, P., Dolan, T. and Molloy, T., 2017. Diabetes UK Type 1 Events: positive impact on diabetes self-management, quality of life and development of social/peer support networks for children and families. 171.
  • Barnard, K.D., Mdingi, C., Yeoh, E. and Choudhary, P., 2016. Patient feedback with the first 90 day implantable glucose sensor in the PRECISE study. 174.
  • Choudhary, P., Mdingi, C., Yeoh, E. and Barnard, K.D., 2016. Positive psychosocial impact of implantable long-term CGM sensor. 174-175.
  • Barnard, K., Bergenstal, R., Laffel, L., Weissberg-Benchell, J., Hood, K., Heinemann, L., Sullivan, S. and Miller, K.M., 2016. ARTIFICIAL PANCREAS PSYCHOSOCIAL MEASURES PROJECT. A4.
  • Barnard, K., Mdingi, C., Yeoh, E. and Choudhary, P., 2016. PSYCHOSOCIAL BENEFITS ASSOCIATED WITH IMPLANTABLE LONG-TERM CGM SENSOR. A69.
  • Barnard, K., Mdingi, C., Yeoh, E. and Choudhary, P., 2016. PATIENT FEEDBACK WITH THE FIRST 90-DAY IMPLANTABLE GLUCOSE SENSOR IN THE PRECISE STUDY. A69.
  • Wagner, R.S., Cranston, I., Cavan, D.A., Ziegler, R., Barnard, K., Parkin, C.G., Petersen, B., Vesper, I. and Schweitzer, M.A., 2014. APPLES VERSUS ORANGES? COMPARISON OF PEOPLE WITH TYPE 1 AND TYPE 2 DIABETES ON MDI THERAPY: RESULTS FROM ABACUS. A85-A86.
  • Schweitzer, M.A., Cavan, D.A., Ziegler, R., Cranston, I., Barnard, K., Ryder, J., Parkin, C.G., Vesper, I., Petersen, B. and Wagner, R.S., 2014. AUTOMATED BOLUS ADVISOR USE BESTOWS GLYCEMIC BENEFITS TO MDI-TREATED PEOPLE WITH DIABETES IN REAL-WORLD SETTINGS: FOLLOW-UP RESULTS FROM ABACUS. A87.
  • Wagner, R.S., Ziegler, R., Cavan, D.A., Cranston, I., Barnard, K., Parkin, C.G., Koehler, W., Petersen, B., Vesper, I. and Schweitzer, M.A., 2014. IMPACT OF AUTOMATED BOLUS ADVISOR USE ON TIMING/FREQUENCY OF INSULIN PARAMETER CHANGES IN MDI THERAPY: RESULTS FROM ABACUS. A87-A88.
  • Rees, C., Ziegler, R., Cavan, D.A., Cranston, I., Barnard, K., Wagner, R.S., Petersen, B., Vesper, I., Parkin, C.G. and Schweitzer, M.A., 2014. LESSONS LEARNED FROM ABACUS: HEALTHCARE PROFESSIONAL PERSPECTIVES. A86-A87.
  • Fortwaengler, K., Parkin, C.G., Koehler, W., Cavan, D.A., Ziegler, R., Cranston, I., Barnard, K., Mast, O., Schweitzer, M.A. and Wagner, R.S., 2014. LOWER SHORT-TERM HEALTHCARE COST WITH AN AUTOMATED BOLUS ADVISOR IN MDI TREATED DIABETES PATIENTS: LEARNINGS FROM THE ABACUS STUDY. A84.
  • Vesper, I., Cavan, D.A., Ziegler, R., Cranston, I., Barnard, K., Parkin, C.G., Koehler, W., Petersen, B., Schweitzer, M.A. and Wagner, R.S., 2014. QUALITY OF CARE AND HEALTH ATTITUDES IN MDI-TREATED PEOPLE WITH DIABETES CAN VARY BY COUNTRY: RESULTS FROM ABACUS. A86.
  • Fortwaengler, K., Parkin, C.G., Koehler, W., Cavan, D.A., Ziegler, R., Cranston, I., Barnard, K., Mast, O., Schweitzer, M.A. and Wagner, R.S., 2013. LOWER SHORT-TERM HEALTH CARE COST WITH THE ACCU-CHEK AVIVA EXPERT SYSTEM IN MULTIPLE DAILY INSULIN INJECTION (MDI) TREATED DIABETES PATIENTS - LEARNINGS FROM THE AUTOMATED BOLUS ADVISOR CONTROL AND USABILITY STUDY (ABACUS). A437.
  • Parkin, C.G., Barnard, K. et al., 2013. Carbohydrate counting competency index (C31) is a clinically meaningful measure of carbohydrate counting skills in patients with diabetes: results from ABACUS. S424-S425.
  • Cavan, D.A., Ziegler, R., Cranston, I., Barnard, K., Parkin, C.G., Koehler, W., Petersen, B., Vesper, I., Schweitzer, M.A. and Wagner, R.S., 2013. Use of an automated bolus advisor improves multiple outcomes in patients treated with multiple daily insulin injections: results from ABACUS. S425.
  • Ryder, J., Barnard, K. et al., 2013. Use of an automated bolus advisor may improve carbohydrate counting competence in patients treated with multiple daily insulin injection therapy: results from ABACUS. S425.
  • Vogel, C., Barnard, K. et al., 2013. Use of structured 3-day glycaemic profiles impacts glucose control in diabetes patients treated with multiple daily insulin injection therapy: results from ABACUS. S431.
  • Ryder, J., Cavan, D.A., Ziegler, R., Cranston, I., Barnard, K., Vogel, C., Parkin, C.G., Koehler, W., Petersen, B. and Wagner, R.S., 2013. Clinician-administered assessment tool identifies knowledge deficits in carbohydrate counting and multiple daily insulin injection (MDI) therapy that are associated with poor glycaemic status in MDI-treated diabetes: baseline results from the Automated Bolus Advisor Control and Utility Study (ABACUS). 158.
  • Cavan, D.A., Ziegler, R., Cranston, I., Barnard, K., Ryder, J., Vogel, C., Parkin, C.G., Petersen, B., Schweitzer, M. and Wagner, R.S., 2013. Use of an automated bolus advisor improves glycaemic control without increased hypoglycaemia in patients with poorly controlled Type 1 and Type 2 diabetes treated with multiple daily insulin injection (MDI) therapy: first results from the Automated Bolus Advisor Control and Utility Study (ABACUS). 156.
  • Cavan, D.A., Ziegler, R., Cranston, I., Barnard, K., Ryder, J., Vogel, C., Parkin, C.G., Koehler, W., Schweitzer, M. and Wagner, R.S., 2013. ASSESSMENT TOOL IDENTIFIES KNOWLEDGE DEFICITS IN CARBOHYDRATE COUNTING AND MULTIPLE DAILY INSULIN INJECTION (MDI): BASELINE RESULTS FROM THE ABACUS TRIAL. A101.
  • Cavan, D.A., Ziegler, R., Iain, C., Barnard, K., Ryder, J., Vogel, C., Parkin, C.G., Koehler, W., Schweitzer, M. and Wagner, R.S., 2013. USE OF AN AUTOMATED BOLUS ADVISOR IMPROVES GLYCEMIC CONTROL IN POORLY CONTROLLED DIABETES: FIRST RESULTS FROM THE ABACUS TRIAL. A101.
  • Barnard, K., Barnard, K. et al., 2012. The ticking time bomb - fear of hypoglycaemia and its impact on diabetes control: baseline results from the ABACUS. S391-S392.
  • Ziegler, R., Barnard, K., Barnard, K. et al., 2012. More frequent SMBG is associated with more frequent insulin boluses and lower HbA(1c): baseline results from the ABACUS. S425.
  • Cranston, I., Barnard, K. et al., 2012. Development and validation of a clinician-administered assessment tool that predicts self-efficacy in MDI management. S412.
The data on this page was last updated at 04:08 on April 21, 2018.