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Context Pain and depression are two of the most prevalent and treatable cancer-related symptoms, yet frequently go unrecognized and/or undertreated. Objective To determine whether centralized telephone-based care management coupled with automated symptom monitoring can improve depression and pain in cancer patients. Design, Setting, and Patients Randomized controlled trial conducted in 16 community-based urban and rural oncology practices across the state of Indiana. Recruitment occurred from March 2006 through August 2008 and follow-up concluded in August 2009. The 405 patients had depression (Patient Health Questionnaire-9 score ≥ 10), cancer-related pain (Brief Pain Inventory worst pain score ≥ 6), or both. Intervention Patients were randomly assigned to the intervention (n=202) or to usual care (n=203), stratified by symptom type. Intervention patients received centralized telecare management by a nurse-physician specialist team coupled with automated home-based symptom monitoring by interactive voice recording or internet. Main Outcome Measures Blinded assessment at baseline, 1, 3, 6, and 12 months for depression (20-item Hopkins Symptom Checklist [HSCL-20]) and pain (Brief Pain Inventory [BPI]) severity. Results There were 131 patients enrolled with depression only, 96 with pain only, and 178 with both depression and pain. Of the 274 patients enrolled for pain, the 137 intervention patients had greater improvements than the 137 usual care patients in BPI pain severity over the 12 months of the trial whether measured as a continuous severity score or as a categorical pain responder (P < .0001 for both). Similarly, of the 309 patients enrolled for depression, the 154 intervention patients had greater improvements than the 155 usual care patients in HSCL-20 depression severity over the 12 months of the trial whether measured as a continuous severity score (P < .0001) or as a categorical depression responder (P < .001). The standardized effect size for between-group differences at 3 and 12 months was .67 and .39 for pain, and .42 and .44 for depression. Conclusion Centralized telecare management coupled with automated symptom monitoring resulted in improved pain and depression outcomes in cancer patients receiving care in geographically-dispersed urban and rural oncology practices.

BackgroundA systematic literature review was conducted to (a) identify the most frequently used health-related quality of life (HRQOL) models and (b) critique those models.MethodsOnline search engines were queried using pre-determined inclusion and exclusion criteria. We reviewed titles, abstracts, and then full-text articles for their relevance to this review. Then the most commonly used models were identified, reviewed in tables, and critiqued using published criteria.ResultsOf 1,602 titles identified, 100 articles from 21 countries met the inclusion criteria. The most frequently used HRQOL models were: Wilson and Cleary (16%), Ferrans and colleagues (4%), or World Health Organization (WHO) (5%). Ferrans and colleagues’ model was a revision of Wilson and Cleary’s model and appeared to have the greatest potential to guide future HRQOL research and practice.ConclusionsRecommendations are for researchers to use one of the three common HRQOL models unless there are compelling and clearly delineated reasons for creating new models. Disease-specific models can be derived from one of the three commonly used HRQOL models. We recommend Ferrans and colleagues’ model because they added individual and environmental characteristics to the popular Wilson and Cleary model to better explain HRQOL. Using a common HRQOL model across studies will promote a coherent body of evidence that will more quickly advance the science in the area of HRQOL.

All patients and caregivers need initial and ongoing screening for sleep/wake disturbances. When disturbed sleep/wakefulness is evident, further assessment and treatment are warranted. Nursing educational programs should include content regarding healthy and disrupted sleep/wake patterns. Research on sleep/wake disturbances in people with cancer should have high priority.

The Center for Epidemiologic Studies-Depression Scale (CES-D; L. S. Radloff, 1977) assesses the presence and severity of depressive symptoms occurring over the past week. Although it contains only 20 items, its length may preclude its use in a variety of clinical populations. This study evaluated psychometric properties of 2 shorter forms of the CES-D developed by F. J. Kohout, L. F. Berkman, D. A. Evans, and J. Cornoni-Huntley (1993): the Iowa form and the Boston form. Data were pooled from 832 women representing 6 populations. Internal consistency estimates, correlations with the original version of the CES-D, and omitted-included item correlations supported use of the Iowa form over the Boston form when a shortened version of the scale is desired. Regression statistics are provided for use in estimating scores on the original CES-D when either shortened form is used. Factor analytic results from two populations support a single-factor structure for the original CES-D as well as the short forms.