Development of a computerised decisions support system for renal risk drugs targeting primary healthcare.

OBJECTIVES: To assess general practitioners (GPs) experience from the implementation and use of a renal computerised decision support system (CDSS) for drug dosing, developed for primary healthcare, integrated into the patient's electronic health record (EHR), and building on estimation of the patient's creatinine clearance (ClCG). DESIGN: Qualitative research design by a questionnaire and a focus group discussion. SETTING AND PARTICIPANTS: Eight GPs at two primary healthcare centres (PHCs). INTERVENTIONS: The GP at PHC 1, and the project group, developed and tested the technical solution of the CDSS. Proof-of-concept was tested by seven GPs at PHC 2. They also participated in a group discussion and answered a questionnaire. A web window in the EHR gave drug and dosage in relation to ClCG. Each advice was according to three principles: If? Why? Because. OUTCOME MEASURES: (1) The GPs' experience of 'easiness to use' and 'perceived usefulness' at PHC 2, based on loggings of use, answers from a questionnaire using a 5-point Likert scale, and answers from a focus group discussion. (2) The number of patients aged 65 years and older with an estimation of ClCG before and after the implementation of the CDSS. RESULTS: The GPs found the CDSS fast, simple and easy to use. They appreciated the automatic presentation of the CICG status on opening the medication list, and the ability to actively look up specific drug recommendations in two steps. The CDSS scored high on the Likert scale. All GPs wanted to continue the use of the CDSS and to recommend it to others. The number of patients with an estimated ClCG increased 1.6-fold. CONCLUSIONS: Acceptance of the simple graphical interface of this push and pull renal CDSS was high among the primary care physicians evaluating this proof of concept. The graphical model should be useful for further development of renal decision support systems.

Renal function estimations and dose recommendations for dabigatran, gabapentin and valaciclovir: a data simulation study focused on the elderly.

OBJECTIVES: The thrombin inhibitor dabigatran is mainly excreted by the kidneys. We investigated whether the recommended method for estimation of renal function used in the clinical trials, the Cockcroft-Gault (CGold) equation and the estimated glomerular filtration rate (eGFR) modification of diet in renal disease equation 4 (MDRD4), differ in elderly participants, resulting in erroneously higher dose recommendations of dabigatran, which might explain the serious, even fatal, bleeding reported. The renally excreted drugs gabapentin and valaciclovir were also included for comparison. DESIGN: A retrospective data simulation study. PARTICIPANTS: Participants 65 years and older included in six different studies. MAIN OUTCOME MEASURE: Estimated renal function by CG based on uncompensated ('old Jaffe' method) creatinine (CGold) or by MDRD4 based on standardised compensated P-creatinine traceable to isotope-dilution mass spectrometry, and the resulting doses. RESULTS: 790 participants (432 females), mean age (±SD) 77.6±5.7 years. Mean estimated creatinine clearance (eCrCl) by the CGold equation was 44.2±14.8 ml/min, versus eGFR 59.6±20.7 ml/min/1.73 m(2) with MDRD4 (p<0.001), absolute median difference 13.5, 95% CI 12.9 to 14.2. MDRD4 gave a significantly higher mean dose (valaciclovir +21%, dabigatran +25% and gabapentin +37%) of all drugs (p<0.001). With MDRD4 58% of the women would be recommended a full dose of dabigatran compared with 18% if CGold is used. CONCLUSIONS: MDRD4 would result in higher recommended doses of the three studied drugs to elderly participants compared with CG, particularly in women, and thus increased the risk of dose and concentration-dependent adverse reactions. It is important to know which method of estimation of renal function the Summary of Products Characteristics was based on, and use only that one when prescribing renally excreted drugs with narrow safety window. Doses based on recently developed methods for estimation of renal function may be associated with considerable risk of overtreatment in the elderly.