A set of QIs has been developed using a validated Delphi method, meaning that we can be confident of their validity, feasibility, sensitivity, and acceptability. These QIs are to serve as the basis of a strategy for benchmarking across oncology services in Spanish hospitals and should enable us to assure and improve the quality of cancer care.

The absence of a scale on pig farms has led to indirect body weight (BW) estimation using regression models based on body measurements. The objectives of the present study were to (1) develop prediction equations for weight estimation in gilts using body measurements (FF: flank-to-flank distance; L: length; HG: heart girth; BF2: ultrasound backfat measurement; LD: loin depth; and BCS: body condition score) and (2) validate the use of an existing prediction equation for BW in gilts (HG2 × L × 69.3 = HGLW), only used for finishing pigs. Data set A (derivation, Large White × Landrace) included 42 gilts at first insemination, 45 gilts at the end of first gestation, and 58 gilts at weaning. Data set B (validation, Large White × Landrace) comprised of 14 gilts at first insemination, 15 gilts at the end of first gestation, and 19 gilts at weaning. Models were developed for each physiological state but a better BW prediction was obtained from an overall model, including an adjustment for physiological state (S1 and S2): −168.89 +1.06L +1.28HG +58.02S1 +33.03S2 +10.92BCS −1.10BF2 (adjusted R2 = 0.90). This model was validated under conditions found in the present study. Estimations using HGLW showed greater residual means than regression models.

Tumores gastrointestinales malignos. Oxaliplatino. Reacción de hipersensibilidad a oxaliplatino. Infusión prolongada. Infusión estándar.

The variation in appropriateness of phacoemulsification cannot be attributed solely to the clinical differences between the hospitals' patients. There is room for improvement in the appropriate indication of phacoemulsification. Measures based on the dissemination of appropriateness criteria might improve quality of care.