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The purpose of this study was to determine the rate of concordance and discordance between clinical diagnosis and post‐mortem findings in patients admitted to the hospitals of the Saskatoon Health Region.

A retrospective record review of the medical and autopsy charts was carried out for all the deceased adult in‐patients admitted during calendar years 2002, 2003 and 2004. A total of 3416 in‐patient deaths were registered during the study period. Autopsies were performed on 206 of the deceased resulting in an autopsy rate of 6 percent. In accordance with selection criteria, 158 cases were included for this study. The mean age of subjects was 66.6±15.3 years with a range of 16‐94 years. The study group consisted of 92 males (58.2 percent) and 66 females (41.8 percent) with an average length of stay at the hospital of 12.9±10.9 days.

The concordance rate between clinical and autopsy diagnosis was found to be 75.3 percent. The discordance rate was 20.9 percent and in 3.8 percent of the study population a conclusive clinical or autopsy diagnosis was not finalized.

These results suggest that despite of the technical advances in medical and diagnostic modalities, diagnostic discrepancies in the present day health care system remain prevalent.

The authors encourage residents and physicians to continue using autopsy as an important tool to extend understanding of disease processes.

Businesses embark on cause-related marketing (CRM) initiatives as a marketing strategy to fortify consumers' behavioural intentions. Prior research indicates that human values could be tapped to understand the consumers' responses to perceived organizational motives behind undertaking social cause initiatives. This research employs Schwartz's theory of human values to examine consumers' patronage intentions towards CRM-linked fashion products. Moreover, fashion leaders play a crucial role in the diffusion of the latest fashion and fashion trends. This research investigates by integrating human values and fashion leadership, offering insights into CRM-linked fashion consumption motives.

The overarching goal was to investigate the complex interplay between human values and female fashion leadership to predict CRM patronage intention (CPI). Hence, a large-scale research study on 2,050 samples was undertaken by adopting threefold partial least squares–multigroup analysis–artificial neural network (PLS-MGA-ANN) to establish and empirically test a comprehensive model.

This study is unique as it establishes and validates the relative or normalized importance placed on human values by fashion leaders, thereby predicting CPIs. The results revealed that women with high-fashion leadership and specific value types (benevolence, universalism, self-direction) are more likely to patronize CRM-linked fashion retailers. In addition, the findings validated that women with low-fashion leadership and specific value types (tradition, security, conformity) are more likely to patronize CRM-linked fashion stores.

The findings provide a valuable rationale to non-profit marketers, fashion marketing experts and practitioners to design customer value-based profiling and manage crucial CRM decisions.