Shared decision-making for cancer care among racial and ethnic minorities: a systematic review.

To assess decision-making for cancer treatment among racial/ethnic minority patients, we systematically reviewed and synthesized evidence from studies of "shared decision-making," "cancer," and "minority groups," using PubMed, PsycInfo, CINAHL, and EMBASE. We identified significant themes that we compared across studies, refined, and organized into a conceptual model. Five major themes emerged: treatment decision-making, patient factors, family and important others, community, and provider factors. Thematic data overlapped categories, indicating that individuals' preferences for medical decision-making cannot be authentically examined outside the context of family and community. The shared decision-making model should be expanded beyond the traditional patient-physician dyad to include other important stakeholders in the cancer treatment decision process, such as family or community leaders.

Surgical outcomes in American Indian veterans: a closer look.

BACKGROUND: American Indian/Alaska Native (AI/ANs) male veterans have considerably higher postoperative mortality rates than their Caucasian counterparts, but similar postoperative morbidity rates even after adjusting for major preoperative risk factors. This study seeks to explain the discrepancy in morbidity and mortality. STUDY DESIGN: We obtained data from the Veterans Affairs National Surgical Quality Improvement Program on major, noncardiac, surgical procedures performed from 1991 to 2002 for all AI/AN men (n = 2,155), and a random sample of Caucasian men (n = 2,264), matched by site. We compared the number and types of postoperative complications and mortality rates for those patients in whom complications developed. We also examined complication and mortality rates by whether they occurred after hospital discharge, or by specific type of surgical procedure. Preoperative risk factors were assessed in patients who died. Chi-square or Fisher's exact tests were used for all comparisons. RESULTS: AI/ANs and Caucasians did not differ by number of complications but Caucasian patients had considerably higher rates for three specific complications. There was no difference in deaths after discharge or in mortality rates after specific surgical procedures. The groups differed considerably in the types of procedures performed. Among patients who died, three preoperative risk factors, ie, hemiplegia, diabetes, and wound infection, occurred more frequently among AI/AN than Caucasian veterans. CONCLUSIONS: We cannot fully explain higher postoperative mortality rates experienced by AI/AN relative to Caucasian veterans after examining complications, types of procedures, and other relevant factors. AI/ANs with certain preoperative risk factors can be vulnerable to 30-day postoperative mortality and benefit from closer postoperative surveillance.

Surgical morbidity and mortality among American Indian and Alaska Native veterans: a comparative analysis.

BACKGROUND: Few studies have examined surgical risk factors and outcomes in American Indians and Alaska Natives (AI/ANs). My colleagues and I sought to determine if prevalence of preoperative risk factors for morbidity and mortality differed between male AI/AN and Caucasian surgical patients, and to determine if AI/ANs had an increased risk of surgical morbidity or mortality. STUDY DESIGN: We obtained data from the Veterans Affairs National Surgical Quality Improvement Program on major, noncardiac, surgical procedures performed between 1991 and 2002 for all AI/AN men (n = 2,155) and a random sample of Caucasian men (n = 2,264), matched by facility. Chi-square and t-test analyses were used to assess differences in preoperative risk factors between the two groups. Logistic regression was used to determine whether AI/AN race was independently associated with 30-day morbidity (defined as 1 or more of 21 postoperative complications) or 30-day all cause mortality after adjustment for major risk factors. RESULTS: Prevalence of major preoperative risk factors for morbidity and mortality often differed between the groups. Compared with Caucasians, AI/AN race did not predict morbidity (adjusted odds ratio, 0.92; 95% CI, 0.75-1.13), but AI/ANs were at higher risk for 30-day all cause postoperative mortality (adjusted odds ratio, 1.56; 95% CI, 1.04-2.35). CONCLUSIONS: Our results add postoperative mortality to health disparities experienced by AI/ANs. Future research should be conducted to identify other factors that contribute to this disparity.