Faculty Bibliography

The growing number of individuals with comorbidities experiencing care transitions represents a challenge to the current health care system. A qualitative study of empirical literature, using the Dimensional Analysis approach, was conducted to elucidate the theoretical underpinnings of the phenomenon of individuals with comorbidities undergoing care transitions. The findings were arranged in a novel schematic demonstrating that the relationship among individual attributes, comorbidities, and care processes informed the individual's risk for adverse outcomes. This schematic is useful for future nursing research studies evaluating innovative programs implemented to improve health outcomes among vulnerable populations undergoing care transitions.

Although functional status serves as a major predictor of morbidity, researchers and clinicians use different terms and measures, limiting comparisons across studies. To demonstrate how differing measures may generate varied findings, we compared and contrasted data from the SF-12 Health Survey Physical Component Summary Scale (SF-12 PCS) and the Enforced Social Dependency Scale (ESDS). The sample consisted of 49 women aged 65 and older recovering from gynecological cancer surgery with data collection at baseline (postoperative period) and then at 3 and 6 months. Analysis of the relationship between SF-12 PCS and ESDS over time using generalized estimating equations (GEE) demonstrated the relationship was less than 1.0, signaling less than perfect agreement between measures (beta = 0.16, P = .002). These findings suggest that that the 2 measures are not interchangeable and may produce conflicting evidence. This highlights the importance of researchers' and clinicians' careful conceptualization and operationalization of functional status before measure selection.

OBJECTIVES: To explore factors influencing functional status over time after cancer surgery in adults aged 65 and older. DESIGN: Secondary data analysis of combined data subsets. SETTING: Five prospective, longitudinal oncology nurse-directed clinical studies conducted at three academic centers in the northwest and northeast United States. PARTICIPANTS: Three hundred sixteen community-residing patients diagnosed with digestive system, thoracic, genitourinary, and gynecological cancers treated primarily with surgery. MEASUREMENTS: Functional status, defined as performance of current life roles, was measured using the Enforced Social Dependency Scale and the Medical Outcomes Study 36-item Short-Form Survey (using physical component summary measures) after surgery (baseline) and again at 3 and 6 months. Number of symptoms, measured using the Symptom Distress Scale, quantified the effect of each additional common cancer symptom on functional status. RESULTS: After controlling for cancer site and stage, comorbidities, symptoms, psychological status, treatment, and demographic variables, functional status was found to be significantly better at 3 and 6 months after surgery than at baseline. Factors associated with better functional status included higher income and better mental health. Factors associated with poorer average functional status were a greater number of symptoms and comorbidities. Persons reporting three or more symptoms experienced statistically significant and clinically meaningful poorer functional status than those without symptoms. Persons reporting three or more comorbidities were also found to have poorer functional status than those without comorbidities. No significant relationship existed between age and functional status in patients aged 65 and older. CONCLUSION: Factors other than age affect recovery of functional status in older adults after cancer surgery.

Combining extant datasets with differing outcome measures, an economical method to generate evidence guiding older adults' cancer care, may introduce heterogeneity leading to invalid study results. We recently conducted a study combining extant datasets from five oncology nurse-directed clinical trials (parent studies) using norm-based scoring to standardize the differing outcome measures. The purpose of this article is to describe and analyze our methods in the recently completed study. Despite addressing and controlling for heterogeneity, our analysis found statistically significant heterogeneity (p < 0.0001) in temporal trends among the five parent studies. We concluded that assessing heterogeneity in combined extant datasets with differing outcome measures is important to ensure similar magnitude and direction of findings across parent studies. Future research should include investigating reasons for heterogeneity to generate hypotheses about subgroup differences or differing measurement domains that may have an impact on outcomes.