Implementing Physical Activity Recommendations in Clinical Practice: A Survey of Oncology Nurses' Perspectives.

PROBLEM STATEMENT: Better understanding of oncology nurses' perspectives about how interventions should be designed can promote physical activity (PA) in clinical settings. DESIGN: 75 oncology nurses completed online surveys. DATA SOURCES: A published survey, guided by the Consolidated Framework for Implementation Research, was used to assess multilevel factors that influence implementation of evidence-based interventions. ANALYSIS: Descriptive statistics were applied to quantitative data; directed content analyses were applied to qualitative data. FINDINGS: Participants believed it was important to discuss PA with patients; however, they had limited self-efficacy and resources to provide PA counseling. Barriers to providing counseling included competing clinical demands and a lack of education about PA for cancer survivors and resources. IMPLICATIONS FOR PRACTICE: Findings inform how interventions can be designed for implementation and sustained practice change in clinical settings. Integration of PA education in routine clinical practice will lead to increased PA and, ultimately, improved quality of life among cancer survivors.

Exploring illness perceptions of multimorbidity among community-dwelling older adults: a mixed methods study.

Background: Illness perceptions are individual beliefs or experiences about the nature and treatment of their illness. Although extensive research exists about illness perceptions, little is known about illness perceptions of multimorbidity. Methods: The purpose of this parallel-convergent mixed-methods study was to comprehensively explore illness perception of multimorbidity among community dwelling older adults. Data was collected using one-on-one semi-structured interviews (n=17) and the Multimorbidity Illness Perception Scale (MULTIPleS) (n=116). Qualitative data were analyzed using content analysis while quantitative data were analyzed with descriptive and inferential statistics. Both qualitative and quantitative findings were integrated to identify differences in illness perceptions of multimorbidity by participant's socio-demographic and illness-related characteristics. Results: Overall, participants were mostly female (71%), self-reported as Hispanic (35%), Black (33%), White (27%), or Asian (5%). From the content analysis of the qualitative data, we described three themes pertaining to Illness perception of multimorbidity which were influenced by both participants' socio-demographic and illness-related characteristics: (1) inter-relationships between conditions (2) consequences and priorities and (3) impact of multimorbidity on wellbeing. While inferential analysis of quantitative data indicated statistically significant differences across only socio-demographic characteristics such as race/ethnicity (causal links, prioritization, summary scale) and educational attainment (prioritization subscale). Mixed analysis of qualitative and quantitative findings confirmed that illness perception of multimorbidity may not differ by the number of chronic conditions. Conclusions: Illness perception of multimorbidity may not differ by the number of chronic conditions the participants had. Rather, participants prioritized the impact of multimorbidity on their overall wellbeing, placing less importance on the number of their chronic conditions. Additional studies are needed to further characterize illness perceptions of multimorbidity and develop interventions that extend beyond disease-focused interventions to address holistic needs of older adults with multimorbidity.