PURPOSE: The importance of human dignity in care is well-recognized. Care recipients' experiences with undignified care have been reported in many countries. However, few studies have measured these situations quantitatively, especially as there are no tools applicable to inpatients receiving ordinary daily care. This study aimed to develop a valid and reliable Inpatient Dignity Scale (IPDS) that can measure inpatients' expectations of and satisfaction with dignity in daily care. METHODS: We conducted a three-phase research project: item generation and a preliminary survey with 47 items related to patients' dignity in Japan, a main survey with 36 items with deliberate translation into English in Singapore, and a confirmatory survey with 35 items in England, with 442, 430, and 500 inpatients as participants in questionnaire surveys, respectively. Data from each survey were processed using factor analysis. RESULTS: Authors obtained a scale with a four-factor structure with acceptable reliability: (F1) respect as a human being, (F2) respect for personal feelings and time, (F3) respect for privacy, and (F4) respect for autonomy. CONCLUSION: The Inpatient Dignity Scale can be periodically used by hospital administrators or nurses to preserve inpatients' dignity in daily care by monitoring inpatients' views regarding their expectations of and satisfaction with dignity.
England ; Great Britain ; Hospital Administrators ; Humans ; Inpatients ; Japan ; Nursing ; Personhood ; Privacy ; Psychometrics ; Singapore

OBJECTIVE: Many studies have reported pre-processing effects for brain volumetry; however, no study has investigated whether non-parametric non-uniform intensity normalization (N3) correction processing results in reduced system dependency when using an atlas-based method. To address this shortcoming, the present study assessed whether N3 correction processing provides reduced system dependency in atlas-based volumetry. MATERIALS AND METHODS: Contiguous sagittal T1-weighted images of the brain were obtained from 21 healthy participants, by using five magnetic resonance protocols. After image preprocessing using the Statistical Parametric Mapping 5 software, we measured the structural volume of the segmented images with the WFU-PickAtlas software. We applied six different bias-correction levels (Regularization 10, Regularization 0.0001, Regularization 0, Regularization 10 with N3, Regularization 0.0001 with N3, and Regularization 0 with N3) to each set of images. The structural volume change ratio (%) was defined as the change ratio (%) = (100 x [measured volume - mean volume of five magnetic resonance protocols] / mean volume of five magnetic resonance protocols) for each bias-correction level. RESULTS: A low change ratio was synonymous with lower system dependency. The results showed that the images with the N3 correction had a lower change ratio compared with those without the N3 correction. CONCLUSION: The present study is the first atlas-based volumetry study to show that the precision of atlas-based volumetry improves when using N3-corrected images. Therefore, correction for signal intensity non-uniformity is strongly advised for multi-scanner or multi-site imaging trials.
Adult ; Atlases as Topic ; Brain Mapping/*methods ; Female ; Humans ; Image Enhancement/methods ; Image Processing, Computer-Assisted/*methods ; Magnetic Resonance Imaging/*methods ; Male ; Middle Aged ; Software ; Statistics, Nonparametric