Appropriateness of proton pump inhibitors treatment in clinical practice: Prospective evaluation in outpatients and perspective assessment of drug optimisation.

BACKGROUND: High rates of inappropriate proton pump inhibitor (PPI) prescriptions have been reported in retrospective database analyses. Assessing the appropriateness of long-term PPIs in outpatients, with a proactive approach at drug optimisation may enhance treatment adequacy. AIMS: To describe the characteristics of outpatients who are on long-term PPIs, to assess the magnitude of inappropriate PPI prescriptions, and to evaluate the rate of drug optimisation following specialist recommendations. METHODS: Appropriateness of long-term (>8weeks) PPI prescription was prospectively assessed in 249 consecutive patients referred to a Gastroenterology outpatient clinic. We recorded reason for prescription, dose, modality, duration of therapy, and attempts at PPI optimisation. RESULTS: PPIs were inappropriately prescribed in 96/249 patients (38.6%). Gastro-oesophageal reflux disease (50/143, 35.0%) and prophylaxis of anti-platelet/non-steroidal anti-inflammatory drugs (5/49, 10.2%) were the most common PPI indications and those with the lowest rate of inappropriateness, while the highest rates were observed for treatment of dyspepsia (10/12, 83.3%) and anti-coagulant therapy (21/21, 100%). PPI treatment was optimised in 112 patients (45.0%). CONCLUSIONS: PPIs are inappropriately used in about 40% of outpatients, reflecting scant attention to guidelines. A proactive approach may improve therapeutic adequacy in approximately half of patients. Educational efforts to guide PPI prescription should be further pursued.

A procedure for high resolution satellite imagery quality assessment.

Data products generated from High Resolution Satellite Imagery (HRSI) are routinely evaluated during the so-called in-orbit test period, in order to verify if their quality fits the desired features and, if necessary, to obtain the image correction parameters to be used at the ground processing center. Nevertheless, it is often useful to have tools to evaluate image quality also at the final user level. Image quality is defined by some parameters, such as the radiometric resolution and its accuracy, represented by the noise level, and the geometric resolution and sharpness, described by the Modulation Transfer Function (MTF). This paper proposes a procedure to evaluate these image quality parameters; the procedure was implemented in a suitable software and tested on high resolution imagery acquired by the QuickBird, WorldView-1 and Cartosat-1 satellites.