0
We're unable to sign you in at this time. Please try again in a few minutes.
Retry
We were able to sign you in, but your subscription(s) could not be found. Please try again in a few minutes.
Retry
There may be a problem with your account. Please contact the AMA Service Center to resolve this issue.
Contact the AMA Service Center:
Telephone: 1 (800) 262-2350 or 1 (312) 670-7827  *   Email: subscriptions@jamanetwork.com
Error Message ......
Original Contribution |

Effect of Telecare Management on Pain and Depression in Patients With Cancer:  A Randomized Trial FREE

Kurt Kroenke, MD; Dale Theobald, MD; Jingwei Wu, MS; Kelli Norton, BA; Gwendolyn Morrison, PhD; Janet Carpenter, PhD, RN; Wanzhu Tu, PhD
[+] Author Affiliations

Author Affiliations: Center for Implementing Evidence-Based Practice, Richard Roudebush VA Medical Center, Indianapolis (Dr Kroenke); Department of Medicine (Drs Kroenke and Tu and Mr Wu) and School of Nursing (Dr Carpenter), Indiana University, Indianapolis; Regenstrief Institute Inc, Indianapolis (Drs Kroenke, Morris, and Tu and Ms Norton); Community Cancer Care, Indianapolis (Dr Theobald); and Community Health Network, Indianapolis (Dr Theobald).


JAMA. 2010;304(2):163-171. doi:10.1001/jama.2010.944.
Text Size: A A A
Published online

Context Pain and depression are 2 of the most prevalent and treatable cancer-related symptoms, yet they frequently go unrecognized, undertreated, or both.

Objective To determine whether centralized telephone-based care management coupled with automated symptom monitoring can improve depression and pain in patients with cancer.

Design, Setting, and Patients Randomized controlled trial conducted in 16 community-based urban and rural oncology practices involved in the Indiana Cancer Pain and Depression (INCPAD) trial. Recruitment occurred from March 2006 through August 2008 and follow-up concluded in August 2009. The participating patients had depression (Patient Health Questionnaire-9 score ≥10), cancer-related pain (Brief Pain Inventory [BPI] worst pain score ≥6), or both.

Intervention The 202 patients randomly assigned to receive the intervention and 203 to receive usual care were stratified by symptom type. Patients in the intervention group 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 and at months 1, 3, 6, and 12 for depression (20-item Hopkins Symptom Checklist [HSCL-20]) and pain (BPI) severity.

Results Of the 405 participants enrolled in the study, 131 had depression only, 96 had pain only, and 178 had both depression and pain. Of the 274 patients with pain, 137 patients in the intervention group had greater improvements in BPI pain severity over the 12 months of the trial whether measured as a continuous severity score or as a categorical pain responder (≥30% decrease in BPI) than the 137 patients in the usual-care group (P < .001 for both). Similarly, of the 309 patients with depression, the 154 patients in the intervention group had greater improvements in HSCL-20 depression severity over the 12 months of the trial whether measured as a continuous severity score or as a categorical depression responder (≥ 50% decrease in HSCL) than the 155 patients in the usual care group (P < .001 for both). The standardized effect size for between-group differences at 3 and 12 months was 0.67 (95% confidence interval [CI], 0.33-1.02) and 0.39 (95% CI, 0.01-0.77) for pain, and 0.42 (95% CI, 0.16-0.69) and 0.41 (95% CI, 0.08-0.72) 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.

Trial Registration clinicaltrials.gov Identifier: NCT00313573

Figures in this Article

Pain and depression are the most common physical and psychological symptoms, respectively, in cancer patients.14 However, despite their prevalence and associated disability,510 cancer-related pain and depression are frequently undetected and undertreated.1,1115

Collaborative care is a team-based approach in which a care manager supervised by a physician specialist work together with the principal clinician to optimize outcomes through educating patients, monitoring adherence and therapeutic response, and adjusting treatment. Various collaborative care models have well-established effectiveness for enhancing depression outcomes, with most trials conducted in primary care,16,17 although a few in specialty clinic settings have shown benefits for patients with depression after experiencing a stroke18 and after undergoing coronary artery by-pass graft surgery.19 Two recent trials involving patients treated by their primary care physicians suggest collaborative interventions may enhance pain outcomes as well.20,21

Therefore, we conducted the Indiana Cancer Pain and Depression (INCPAD) trial, a collaborative care approach to managing depression and pain in geographically dispersed oncology practices. Centralized care management combined with automated disease monitoring facilitated coverage of multiple urban and rural oncology practices throughout an entire state. Our hypothesis was that this telecare management intervention would be superior to usual care in improving the outcomes of pain and depression.

Identifying and Enrolling Study Subjects

Details of the INCPAD trial design have been previously described.22 Study participants were enrolled from 16 urban and rural oncology practices in Indiana from March 2006 through August 2008. The practices included 10 that were staffed by Community Cancer Care, which provides satellite oncology services to rural areas and midsized communities throughout Indiana; 4 large oncology clinics in Indianapolis; 1 oncology clinic providing care for underserved patients; and 1 Veterans Affairs oncology clinic. Patients presenting for oncology clinic visits who screened positive for either pain or depression underwent an eligibility interview; all eligibility criteria relied on patient report. Eligible patients who were willing to participate provided audiotaped oral informed consent (with follow-up written consent forms obtained by mail) and completed a baseline interview after which they were randomized to the intervention or usual care group. Randomization was computer-generated in randomly varying block sizes of 4, 8, and 12 and stratified by symptom type (pain only, depression only, or both pain and depression). The study was approved by the Indiana University and Community Hospitals' institutional review boards.

Study Eligibility

Depression had to be at least moderately severe, defined as a Patient Health Questionnaire 9-item depression scale (PHQ-9) score of 10 or higher and endorsement of either depressed mood, anhedonia; or both.23,24Pain had to be (1) definitely or possibly cancer related; (2) at least moderately severe, defined as a score of 6 or higher on the “worst pain in the past week” item of the Brief Pain Inventory14,25,26; and (3) persistent despite trying at least 1 pain medicine. Excluded were individuals who did not speak English, had moderately severe cognitive impairment as defined by a validated 6-item cognitive screener,27 had schizophrenia or other psychosis, had a pending pain-related disability claim, were pregnant, or were in hospice care.

Outcome Assessment

All 5 assessments (baseline and at months 1, 3, 6, and 12) were administered by telephone interview and conducted by research assistants who had no involvement in the study intervention and whose call list included only the participant's name and study number but not his/her treatment group. Depression and pain severity were the coprimary study outcomes. Depression severity was assessed with the Hopkins Symptom Checklist 20-item depression scale (HSCL-20).2830 Pain severity was assessed with the Brief Pain Inventory (BPI), which rates the severity of pain on 4 items (current, worst, least, and average pain in past week).14,31 Scores range from 0 to 4 on the HSCL-20 and from 0 to 10 on the BPI, with higher scores representing greater severity.

Secondary depression-specific outcomes included the 3-item depression severity subscale of the 36-Item Short Form Health Survey (SF-36) Mental Health Inventory32 and depression diagnostic status as assessed by the PHQ-9.23 Secondary pain-specific outcomes included the SF-36 bodily pain scale,33 the BPI interference scale,14,31 and global change in pain assessed with a 7-point scale with the options being worse, the same, or a little, somewhat, moderately, a lot, or completely better.34

Secondary outcomes assessed in the full sample included health-related quality of life, disability, cointerventions, and self-reported health care use. The SF-12 was used to calculate physical component summary and mental component summary scores.35 Overall quality of life was assessed with a single-item 0 to 10 scale.36 Anxiety was assessed by the 7-item Generalized Anxiety Disorder scale.37,38 Physical symptom burden was assessed with a 22-item somatic symptom scale.22 Fatigue was assessed with the SF-36 vitality scale.33 Disability was assessed with the 3-item Sheehan Disability Scale39 and by the number of self-reported days in which activities were limited during the preceding 4 weeks.40,41 Because pain and depression treatment and outcomes may vary by race or ethnicity,42,43 race/ethnicity (identified by the patient from preselected options) was also included as a demographic characteristic.

A treatment survey inquired about treatments received for pain and depression as well as self-reported health care use. For intervention patients, the number of months taking antidepressant and opioid medications, and number of care manager contacts were abstracted from care manager logs, and the number of automated symptom monitoring contacts was determined from computerized reports.

Intervention

Care Management. Telephonic care management was delivered by a nurse care manager trained in assessing symptom response and medication adherence; in providing pain and depression-specific education; and in making treatment adjustments according to evidence-based guidelines. The nurse care manager met weekly to review cases with the pain-psychiatrist specialist who was also available to discuss management issues that arose between case management meetings. Participants received a baseline and 3 follow-up calls (1, 4, and 12 weeks) during the first 3 months of treatment. In addition to these scheduled telephone contacts, triggered telephone calls occurred when automated monitoring indicated inadequate symptom improvement, nonadherence to medication, adverse effects, suicidal ideation, or a patient request to be contacted.

Automated Symptom Monitoring. Automated symptom monitoring was performed using either interactive voice–recorded telephone calls or Web-based surveys based on patient preference. The 21-item survey included the PHQ-9 depression scale, 8 pain items from the BPI (3 severity and 5 interference), and a single question for each of the following: medication adherence, adverse effects, global improvement, and whether the patient wanted a nurse care manager call. The monitoring survey was administered twice a week for the first 3 weeks, then weekly during weeks 4 through 11, twice a month during months 3 through 6, and once a month during months 7 through 12. However, more frequent administration could be reinstituted for participants who underwent treatment changes. Those not completing their scheduled assessment were contacted telephonically by the nurse care manager.

Medication Management. Details of the INCPAD treatment protocol including the antidepressant and analgesic algorithms have been previously published.22 Treatment recommendations were provided to the study participant's oncologist who was responsible for prescribing all medications. The antidepressant algorithm was informed by the multicenter Sequenced Treatment Alternatives to Relieve Depression (STAR*D) trial and our primary care− based Stepped Care for Affective disorders and Musculoskeletal Pain (SCAMP) trial.34,44 The analgesic algorithm used in INCPAD was adapted from the National Comprehensive Cancer Network Cancer Pain Guidelines,45 with some simplification based on other guidelines.4648 For depression, the goal was remission (PHQ-9 score <5) or, failing this, a PHQ-9 score of less than 10 with a decline of at least 50% from the baseline score. Participants who preferred not to take antidepressants were encouraged to consider a referral for psychotherapy. For pain, the goal was to obtain a reduction of at least 30% in the BPI pain score and, ideally, a score of 3 or less. For participants with both pain and depression, the protocol focused on pain treatment for the first 4 weeks, unless depression was more severe (PHQ-9 scores ≥15).23,24 If depression persisted despite this initial treatment period for pain, antidepressant therapy was recommended.

Usual-Care Group. Patients randomized to the usual-care group were informed of their depressive and pain symptoms, and their screening results were provided to their oncologist. There were no further attempts by study personnel to influence depression or pain management unless a psychiatric emergency arose (eg, suicidal ideation was detected on baseline or follow-up outcome assessment).

Statistical Analysis

The study was powered to detect clinically significant improvement in the 2 primary outcomes of depression (HSCL-20) and pain (BPI). A reduction of at least 50% in depression severity and at least 30% in pain severity are accepted thresholds for clinically significant improvement in depression and pain trials, respectively.49,50 It was determined that 97 participants per symptom group would provide 80% power to detect a 20% absolute difference in response rates with a 2-tailed α <.05. This sample size also provided 80% power to detect a moderate treatment effect size of 0.4 when analyzing depression and pain as continuous outcomes. Enrollment of 120 patients per group with pain (240 total) and 120 patients per group with depression (240 total) allowed for up to a 20% attrition rate. Preliminary work demonstrated that approximately a quarter of patients had pain only, a third had depression only, and between 40% and 45% had both depression and pain. Thus, to enroll at least 240 patients with pain and 240 patients with depression, INCPAD required an overall estimated sample size of 380 because patients with pain and depression were counted in each category.

Analyses were based on intention-to-treat in all randomized participants. Group differences over the 12 months of the trial were compared using mixed-effects model repeated-measures (MMRM) analysis, adjusting for baseline value of the outcome variable and time.51 To accommodate the large variability of the health care–use data, negative binomial distribution regression analysis was used to model count data.

Analyses were not adjusted for multiple comparisons. This does not affect interpretation of our primary outcomes (HSCL-20 and BPI severity), but findings for secondary outcomes should be interpreted cautiously unless they are highly significant (P < .001). Analyses were performed using SAS version 9.1 (SAS Institute Inc, Cary, North Carolina).

As a sensitivity analysis, we also compared group differences using 2 imputation strategies: last observation carried forward for all outcomes and multiple regression for our primary outcomes. There was no difference in the magnitude of missing data between treatment groups. Furthermore, logistic regression models showed that intervention and control participants for which 12-month data were missing did not differ in terms of baseline depression or pain severity, age, sex, cancer type, or phase of cancer. For participants who died during the 12-month period following their study enrollment, imputation was right censored, ie, no data were imputed beyond the date of death.

Depression-specific outcomes were compared among participants with depression, pain-specific outcomes in those with pain, and secondary outcomes (health-related quality of life, disability, health care use, and cointerventions) for the full sample. Stratifying randomization by symptom type ensured that the proportion of patients with depression only, pain only, and comorbid pain and depression was balanced among intervention and control groups. For the primary outcomes, standardized effect sizes were calculated as the mean group difference divided by the pooled standard deviation at baseline. For patients who died, time to death was compared between treatment groups using survival analysis.

Participant Enrollment and Baseline Characteristics

Figure 1 summarizes the participant flow in INCPAD. Of the 616 participants in which eligibility could be ascertained, 405 consented to enroll in the study. Two hundred two patients were randomized to the intervention group and 203 to the usual-care group. Forty-two participants (20.8%) in the intervention group died vs 43 (21.2%) in the usual-care group died. Time to death was similar in each group (P = .94 by log-rank test). Among participants still alive at each follow-up point, assessment rates were similar in both groups and uniformly high, with 88.1% (354 of 402) participation at 1 month, 86.1% (335 of 389) at month 3, 83.7% (304 of 363) at month 6, and 84.1% (269 of 320) at month 12.

Place holder to copy figure label and caption
Figure 1. Patient Flowchart
Graphic Jump Location

Baseline characteristics between groups were balanced (Table 1). The sample included 131 (32%) participants with depression only, 96 (24%) with pain only, and 178 (44%) with both depression and pain. The mean HSCL-20 depression score among the 309 participants with depression was 1.64 (on a 0-4 scale), and the mean BPI severity score (ie, mean of the 4 severity items) among the 274 participants with pain was 5.2 (on a 0-10 scale), representing at least moderate levels of symptom severity. Also, 283 (92%) of the 309 patients with depression had major depression, dysthymia, or both, according to their PHQ-9 assessments.

Table Graphic Jump LocationTable 1. Baseline Characteristics of the 405 Subjects Enrolled in INCPAD Triala
Pain-Specific Outcomes

Table 2 summarizes the pain-specific outcomes among 274 patients with pain. For the primary outcome (BPI pain severity), the intervention group had significantly greater improvement than the usual-care group by MMRM analysis (P < .001) over the 12 months of the trial whether measured as a continuous severity score or as a categorical pain responder (Table 2 and Figure 2). Between-group differences for BPI pain severity as both a continuous variable and a categorical response variable were also significant at all time points for assessed cases (Table 2) and for assessed and imputed cases using the last observation carried forward and multiple regression imputation analyses (not shown). The standardized effect sizes for the between-group differences were 0.36 (95% confidence interval [CI], 0.05-0.68) at 1 month and 0.67 (95% CI, 0.33-1.02) at 3, 0.46 (95% CI, 0.11-0.81) at 6, and 0.39 (95% CI, 0.01-0.77) at 12 months. An effect size of 0.2 represents a modest difference and 0.5 represents a moderate difference.52

Place holder to copy figure label and caption
Figure 2. Pain and Depression Outcomes
Graphic Jump Location

The Brief Pain Inventory Severity scores range from 0 to 10. The 20-item Hopkins Symptoms Checklist depression scores range from 0 to 4. Patients in the intervention group had significantly lower pain (P < .001) and depression (P < .001) severity scores over the 12 months of the trial by mixed-effects model repeated-measures (MMRM) analysis. Error bars indicate 95% confidence intervals.

Table Graphic Jump LocationTable 2. Pain-Specific Outcomes in the 274 Participants Enrolled in the INCPAD Trial for Pain

Those in the intervention group also had greater improvement in the secondary pain-specific outcomes of BPI pain interference and SF-36 bodily pain scores (Table 2). Additionally, global ratings of change showed there were significant between-group differences at 1, 3, 6, and 12 months (eFigure).

Depression-Specific Outcomes

Table 3 summarizes the depression-specific outcomes among the 309 patients with depression. For HSCL-20 depression severity, the 154 patients in the intervention group had significantly greater improvement than the 155 patients in the usual-care group by MMRM analysis (P < .001) over the 12-month trial whether measured as a continuous severity score or as a categorical depression responder (Table 3 and Figure 2). Between-group differences for HSCL-20 as a continuous variable were also significant at all time points (Table 3) and for assessed and imputed cases using last observation carried forward and multiple regression imputation analyses (not shown); a categorical depression response was significantly more likely in the intervention group at all follow-up points except at 12 months. The standardized effect sizes for these between-group differences were 0.31 (95% CI, 0.06-0.55) at 1 month and 0.42 (95% CI, 0.16-0.69) at 3, 0.45 (95% CI, 0.19-0.73) at 6, and 0.41 (95% CI, 0.08-0.72) at 12 months.

Table Graphic Jump LocationTable 3. Depression-Specific Outcomes in the 309 Participants Enrolled in the INCPAD Trial for Depression

Patients receiving the intervention also had greater improvement in the secondary depression-specific outcomes of Mental Health Inventory depression severity and depression diagnostic status. Although a similar proportion of intervention and usual-care patients met PHQ-9 criteria for major depressive disorder at baseline, significantly fewer patients receiving the intervention had major depressive disorder at months 3 and 12.

Health-Related Quality of Life, Health Care Use, and Cointerventions

Between-group differences in secondary outcomes that were not pain- or depression-specific were assessed in all 405 participants. The intervention group had better outcomes by MMRM analysis for several health-related quality of life domains, including mental health, vitality, anxiety, and physical symptom burden (eTable 1). The intervention group also had greater improvement on the Sheehan Disability Scale but did not differ from the usual care group in self-reported disability days, physical health, or overall quality of life. However, health-related quality of life improvements were not statistically significant when analyzed by the last observation carried forward.

Patients in the intervention group had a mean 3.6 hospital days vs 5.8 in the usual care group and a mean 1.0 emergency department visits vs 1.4, but there was large variability in all 5 measures of health care use and none of the between-group differences were statistically significant (eTable 2). The groups were also similar in self-reported use of 11 of 12 potential cointerventions (eTable 2), differing only in use of “other pain treatments” (P = .03).

Intensity of Intervention in Terms of Contacts and Medication

Intervention intensity could only be assessed in the intervention group because these data were abstracted from care manager and automated symptom monitoring logs. Participants in the intervention group had a mean (SD) of 11.2(8.1) care manager telephone contacts and 20.5(10.6) automated symptom monitoring contacts. The care manager spent a mean (SD) of 157(104) minutes of direct telephone time per patient in the intervention group. One hundred ninety-six patients had received at least 1 care manager contact and 185 patients received at least 1 automated symptom monitoring contact with 165 patients receiving 5 or more care manager contacts and an equal number receiving 10 or more automated symptom monitoring contacts. The variability in contacts was due to death and early drop-out by some patients and extra contacts required for others. The 154 patients with depression in the intervention group were taking antidepressants a mean (SD) of 5.4(5.2) months, with 89 (58%) taking an antidepressant for 3 or more months. The 137 patients with pain in the intervention group were taking opioid medication a mean (SD) of 4.0 (5.1) months, with 66 (48%) taking it for 1 month or more. The care manager coordinated a pain-specific referral for 12 patients and a mental health referral for 11 patients.

Our INCPAD trial has several important findings. First, the telecare management intervention resulted in significant improvements in both pain and depression. Second, the trial demonstrated that it is feasible to provide telephone-based centralized symptom management across multiple geographically dispersed community-based practices in both urban and rural areas by coupling human with technology-augmented patient interactions. Third, the findings did not appear to be confounded by differential rates of cointerventions or health care use.

The moderate effect sizes and improvement rates for pain in INCPAD were comparable with those found in recent collaborative care interventions for pain20 as well as for pain with comorbid depression.21 Although several recent trials demonstrated somewhat greater improvements in depression at 12 months than those produced by our INCPAD intervention,5355 these trials enrolled fewer patients with advanced cancer and delivered more intensive depression treatment including in-person visits and psychotherapy. Telephone-based psychotherapy can be effectively delivered56 and might augment the optimized medication intervention provided in INCPAD.

Our study has several limitations. First, our sample included a wide range of cancer types and phases. This increases the generalizability of our findings to real-world practice but precludes more precise estimates of treatment effect in specific types or stages of cancer. Second, the lack of electronic medical records in most of the community-based practices resulted in a less complete assessment of pain- and depression-specific treatments in the control group. Third, an economic analysis might further strengthen the case for dissemination. To this end, we are currently integrating self-report measures of health care use and work productivity with hospital data to better clarify the cost-effectiveness of the INCPAD intervention.

The fact that INCPAD was beneficial for the most common physical and psychological symptoms in cancer patients demonstrates that a collaborative care intervention can cover several conditions, both physical and psychological. In 3 trials involving 796 cancer patients undergoing chemotherapy, Given et al showed that a nurse-administered cognitive behavioral therapy intervention improved physical symptom burden.5759 Their model involved more disease management than collaborative care in that the nurse worked with the patient independently of the oncology practice. Such interventions may be strengthened by closer integration with practices.60 Combining the collaborative care approach and physician-nurse team that facilitated optimized medication management in INCPAD with the nurse-administered cognitive behavioral therapy and symptom self-management approach tested by Given et al might provide an even more effective way to manage multiple cancer-related symptoms.

Corresponding Author: Kurt Kroenke, MD, Regenstrief Institute, Sixth Floor, 1050 Wishard Blvd, Indianapolis, IN 46202 (kkroenke@regenstrief.org).

Author Contributions: Dr Kroenke had full access to all of the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis.

Study concept and design: Kroenke, Theobald, Carpenter, Morrison

Acquisition of data: Kroenke, Theobald, Norton

Analysis and interpretation of data: Kroenke, Wu, Tu, Theobald, Carpenter, Morrison,

Drafting of the manuscript: Kroenke, Wu, Tu

Critical revision of the manuscript for important intellectual content: Kroenke, Wu, Tu, Theobald, Carpenter, Morrison, Norton

Statistical analysis: Kroenke, Wu, Tu.

Obtained funding: Kroenke.

Administrative, technical, or material support: Kroenke, Theobald, Norton

Study supervision: Kroenke, Theobald, Norton

Financial Disclosures: Dr Kroenke reported receiving research funding from Eli Lilly and Pfizer, and honoraria as a speaker, consultant, or advisory board member from Eli Lilly, Pfizer, and Forest Laboratories. No other authors reported disclosures.

Funding/Support: This study was supported by grant R01 CA-115369 from the National Cancer Institute (Dr Kroenke).

Role of the Sponsor: The sponsor provided financial support for the study only and had no role in the design and conduct of the study; the collection, management, analysis, and interpretation of the data; or in the preparation, review, or approval of the manuscript.

Additional Contributions: We gratefully thank nurse care management provided by Becky Sanders, RN, and Susan Schlundt, RN, and the research assistance provided by Stephanie McCalley, BA, and Pam Harvey, BA. These individuals were compensated as study personnel.

Carr D, Goudas L, Lawrence D,  et al.  Management of Cancer Symptoms: Pain, Depression, and Fatigue. Rockville, MD: Agency for Healthcare Research and Quality; 2002. Evidence Report/Technology Assessment 61. AHRQ publication 02-E032
Bottomley A. Depression in cancer patients: a literature review.  Eur J Cancer Care (Engl). 1998;7(3):181-191
PubMed   |  Link to Article
Caraceni A, Portenoy RK.International Association for the Study of Pain.  An international survey of cancer pain characteristics and syndromes.  Pain. 1999;82(3):263-274
PubMed   |  Link to Article
Portenoy RK, Lesage P. Management of cancer pain.  Lancet. 1999;353(9165):1695-1700
PubMed   |  Link to Article
Given CW, Given B, Azzouz F, Kozachik S, Stommel M. Predictors of pain and fatigue in the year following diagnosis among elderly cancer patients.  J Pain Symptom Manage. 2001;21(6):456-466
PubMed   |  Link to Article
Given CW, Given BA, Stommel M. The impact of age, treatment, and symptoms on the physical and mental health of cancer patients: a longitudinal perspective.  Cancer. 1994;74(7):(suppl)  2128-2138
PubMed   |  Link to Article
Kurtz ME, Kurtz JC, Stommel M, Given CW, Given B. Predictors of depressive symptomatology of geriatric patients with colorectal cancer: a longitudinal view.  Support Care Cancer. 2002;10(6):494-501
PubMed   |  Link to Article
Kurtz ME, Kurtz JC, Stommel M, Given CW, Given B. Physical functioning and depression among older persons with cancer.  Cancer Pract. 2001;9(1):11-18
PubMed   |  Link to Article
Kurtz ME, Kurtz JC, Stommel M, Given CW, Given B. The influence of symptoms, age, comorbidity and cancer site on physical functioning and mental health of geriatric women patients.  Women Health. 1999;29(3):1-12
PubMed   |  Link to Article
Stommel M, Given BA, Given CW. Depression and functional status as predictors of death among cancer patients.  Cancer. 2002;94(10):2719-2727
PubMed   |  Link to Article
Fallowfield L, Ratcliffe D, Jenkins V, Saul J. Psychiatric morbidity and its recognition by doctors in patients with cancer.  Br J Cancer. 2001;84(8):1011-1015
PubMed   |  Link to Article
Passik SD, Dugan W, McDonald MV, Rosenfeld B, Theobald DE, Edgerton S. Oncologists' recognition of depression in their patients with cancer.  J Clin Oncol. 1998;16(4):1594-1600
PubMed
Sharpe M, Strong V, Allen K,  et al.  Major depression in outpatients attending a regional cancer centre: screening and unmet treatment needs.  Br J Cancer. 2004;90(2):314-320
PubMed   |  Link to Article
Cleeland CS, Gonin R, Hatfield AK,  et al.  Pain and its treatment in outpatients with metastatic cancer.  N Engl J Med. 1994;330(9):592-596
PubMed   |  Link to Article
Cleeland CS. Undertreatment of cancer pain in elderly patients.  JAMA. 1998;279(23):1914-1915
PubMed   |  Link to Article
Gilbody S, Bower P, Fletcher J, Richards D, Sutton AJ. Collaborative care for depression: a cumulative meta-analysis and review of longer-term outcomes.  Arch Intern Med. 2006;166(21):2314-2321
PubMed   |  Link to Article
Williams JW Jr, Gerrity M, Holsinger T, Dobscha S, Gaynes B, Dietrich A. Systematic review of multifaceted interventions to improve depression care.  Gen Hosp Psychiatry. 2007;29(2):91-116
PubMed   |  Link to Article
Williams LS, Kroenke K, Bakas T,  et al.  Care management of post-stroke depression: a randomized controlled trial.  Stroke. 2007;38(3):998-1003
PubMed   |  Link to Article
Rollman BL, Belnap BH, LeMenager MS,  et al.  Telephone-delivered collaborative care for treating post-CABG depression: a randomized controlled trial.  JAMA. 2009;302(19):2095-2103
PubMed   |  Link to Article
Dobscha SK, Corson K, Perrin NA,  et al.  Collaborative care for chronic pain in primary care: a clustered randomized trial.  JAMA. 2009;301(12):1242-1252
PubMed   |  Link to Article
Kroenke K, Bair MJ, Damush TM,  et al.  Optimized antidepressant therapy and pain self-management in primary care patients with depression and musculoskeletal pain: a randomized controlled trial.  JAMA. 2009;301(20):2099-2110
PubMed   |  Link to Article
Kroenke K, Theobald D, Norton K,  et al.  Indiana Cancer Pain and Depression (INCPAD) trial: design of a telecare management intervention for cancer-related symptoms and baseline characteristics of enrolled participants.  Gen Hosp Psychiatry. 2009;31(3):240-253
PubMed   |  Link to Article
Kroenke K, Spitzer RL, Williams JBW. The PHQ-9: Validity of a brief depression severity measure.  J Gen Intern Med. 2001;16(9):606-613
PubMed   |  Link to Article
Kroenke K, Spitzer RL. The PHQ-9: a new depression and diagnostic severity measure.  Psychiatr Ann. 2002;32:509-521
Cleeland CS. Pain assessment in cancer. In: Osoba D, ed. Effect of Cancer on Quality of Life. Boca Raton, FL: CRC Press; 1991:293-305
Williams LS, Jones WJ, Shen J, Robinson RL, Kroenke K. Outcomes of newly referred neurology outpatients with depression and pain.  Neurology. 2004;63(4):674-677
PubMed   |  Link to Article
Callahan CM, Unverzagt FW, Hui SL, Perkins AJ, Hendrie HC. A six-item screener to identify cognitive impairment among potential subjects for clinical research.  Med Care. 2002;40(9):771-781
PubMed   |  Link to Article
Unützer J, Katon W, Callahan CM,  et al;  IMPACT Investigators.  Collaborative care management of late-life depression in the primary care setting: a randomized controlled trial.  JAMA. 2002;288(22):2836-2845
PubMed   |  Link to Article
Kroenke K, West SL, Swindle R,  et al.  Similar effectiveness of paroxetine, fluoxetine, and sertraline in primary care: a randomized trial.  JAMA. 2001;286(23):2947-2955
PubMed   |  Link to Article
Katon W, Von Korff M, Lin E,  et al.  Stepped collaborative care for primary care patients with persistent symptoms of depression: a randomized trial.  Arch Gen Psychiatry. 1999;56(12):1109-1115
PubMed   |  Link to Article
Cleeland CS. Measurement of pain by subjective report. In: Chapman CR, Loeser JD, eds. Advances in Pain Research and Therapy. vol 12 Issues in Pain Measurement. New York, NY: Raven Press; 1989:391-403
Cuijpers P, Smits N, Donker T, ten Have M, de Graaf R. Screening for mood and anxiety disorders with the five-item, the three-item, and the two-item Mental Health Inventory.  Psychiatry Res. 2009;168(3):250-255
PubMed   |  Link to Article
McHorney CA, Ware JE Jr, Raczek AE. The MOS 36-Item Short-Form Health Survey (SF-36), II: psychometric and clinical tests of validity in measuring physical and mental health constructs.  Med Care. 1993;31(3):247-263
PubMed   |  Link to Article
Kroenke K, Bair M, Damush T,  et al.  Stepped Care for Affective Disorders and Musculoskeletal Pain (SCAMP) study design and practical implications of an intervention for comorbid pain and depression.  Gen Hosp Psychiatry. 2007;29(6):506-517
PubMed   |  Link to Article
Ware J Jr, Kosinski M, Keller SD. A 12-Item Short-Form Health Survey: construction of scales and preliminary tests of reliability and validity.  Med Care. 1996;34(3):220-233
PubMed   |  Link to Article
Unützer J, Katon W, Williams JW Jr,  et al.  Improving primary care for depression in late life: the design of a multicenter randomized trial.  Med Care. 2001;39(8):785-799
PubMed   |  Link to Article
Spitzer RL, Kroenke K, Williams JB, Lowe B. A brief measure for assessing generalized anxiety disorder: the GAD-7.  Arch Intern Med. 2006;166(10):1092-1097
PubMed   |  Link to Article
Kroenke K, Spitzer RL, Williams JBW, Monahan PO, Lowe B. Anxiety disorders in primary care: prevalence, impairment, comorbidity, and detection.  Ann Intern Med. 2007;146(5):317-325
PubMed   |  Link to Article
Sheehan DV, Harnett-Sheehan K, Raj BA. The measurement of disability.  Int Clin Psychopharmacol. 1996;11:(suppl 3)  89-95
PubMed   |  Link to Article
Wagner EH, LaCroix AZ, Grothaus LC, Hecht JA. Responsiveness of health status measures to change among older adults.  J Am Geriatr Soc. 1993;41(3):241-248
PubMed
Rost K, Nutting P, Smith J, Werner J, Duan N. Improving depression outcomes in community primary care practice: a randomized trial of the quEST intervention.  J Gen Intern Med. 2001;16(3):143-149
PubMed   |  Link to Article
Cintron A, Morrison RS. Pain and ethnicity in the United States: a systematic review.  J Palliat Med. 2006;9(6):1454-1473
PubMed   |  Link to Article
Lesser IM, Castro DB, Gaynes BN,  et al.  Ethnicity/race and outcome in the treatment of depression: results from STAR*D.  Med Care. 2007;45(11):1043-1051
PubMed   |  Link to Article
Rush AJ, Trivedi MH, Wisniewski SR,  et al.  Acute and longer-term outcomes in depressed outpatients requiring one or several treatment steps: a STAR*D report.  Am J Psychiatry. 2006;163(11):1905-1917
PubMed   |  Link to Article
 Cancer Pain Version 1.2004. NCCN Practice Guidelines in Oncology - v.1.2004. 2004
Bookbinder M, Coyle N, Kiss M,  et al.  Implementing national standards for cancer pain management: program model and evaluation.  J Pain Symptom Manage. 1996;12(6):334-347, discussion 331-333
PubMed   |  Link to Article
Keller MB. Report of the WHO Expert Committee on Cancer Pain Relief and Active Supportive Care. 2nd ed. Geneva, Switzerland: World Health Organization; 1996. Technical report series 804
 Cancer Pain and End-of-Life Care. Chicago, IL: American Medical Association; 2004. Pain Management; part 4
Keller MB. Past, present, and future directions for defining optimal treatment outcome in depression: remission and beyond.  JAMA. 2003;289(23):3152-3160
PubMed   |  Link to Article
Dworkin RH, Turk DC, Wyrwich KW,  et al.  Interpreting the clinical importance of treatment outcomes in chronic pain clinical trials: IMMPACT recommendations.  J Pain. 2008;9(2):105-121
PubMed   |  Link to Article
Mallinckrodt CH, Clark WS, David SR. Type I error rates from mixed effects model repeated measures versus fixed effects ANOVA with missing values imputed via last observation carried forward.  Drug Inf J. 2001;35:1215-1225
Link to Article
Kazis LE, Anderson JJ, Meenan RF. Effect sizes for interpreting changes in health status.  Med Care. 1989;27(3):(suppl)  S178-S189
PubMed   |  Link to Article
Fann JR, Fan MY, Unützer J. Improving primary care for older adults with cancer and depression.  J Gen Intern Med. 2009;24:(suppl 2)  S417-S424
PubMed   |  Link to Article
Ell K, Xie B, Quon B, Quinn DI, Dwight-Johnson M, Lee PJ. Randomized controlled trial of collaborative care management of depression among low-income patients with cancer.  J Clin Oncol. 2008;26(27):4488-4496
PubMed   |  Link to Article
Strong V, Waters R, Hibberd C,  et al.  Management of depression for people with cancer (SMaRT oncology 1): a randomised trial.  Lancet. 2008;372(9632):40-48
PubMed   |  Link to Article
Simon GE, Ludman EJ, Tutty S, Operskalski B, Von Korff M. Telephone psychotherapy and telephone care management for primary care patients starting antidepressant treatment: a randomized controlled trial.  JAMA. 2004;292(8):935-942
PubMed   |  Link to Article
Given C, Given B, Rahbar M,  et al.  Effect of a cognitive behavioral intervention on reducing symptom severity during chemotherapy.  J Clin Oncol. 2004;22(3):507-516
PubMed   |  Link to Article
Sherwood P, Given BA, Given CW,  et al.  A cognitive behavioral intervention for symptom management in patients with advanced cancer.  Oncol Nurs Forum. 2005;32(6):1190-1198
PubMed   |  Link to Article
Sikorskii A, Given CW, Given B,  et al.  Symptom management for cancer patients: a trial comparing two multimodal interventions.  J Pain Symptom Manage. 2007;34(3):253-264
PubMed   |  Link to Article
Coleman K, Mattke S, Perrault PJ, Wagner EH. Untangling practice redesign from disease management: how do we best care for the chronically ill?  Annu Rev Public Health. 2009;30:385-408
PubMed   |  Link to Article

Figures

Place holder to copy figure label and caption
Figure 1. Patient Flowchart
Graphic Jump Location
Place holder to copy figure label and caption
Figure 2. Pain and Depression Outcomes
Graphic Jump Location

The Brief Pain Inventory Severity scores range from 0 to 10. The 20-item Hopkins Symptoms Checklist depression scores range from 0 to 4. Patients in the intervention group had significantly lower pain (P < .001) and depression (P < .001) severity scores over the 12 months of the trial by mixed-effects model repeated-measures (MMRM) analysis. Error bars indicate 95% confidence intervals.

Tables

Table Graphic Jump LocationTable 1. Baseline Characteristics of the 405 Subjects Enrolled in INCPAD Triala
Table Graphic Jump LocationTable 2. Pain-Specific Outcomes in the 274 Participants Enrolled in the INCPAD Trial for Pain
Table Graphic Jump LocationTable 3. Depression-Specific Outcomes in the 309 Participants Enrolled in the INCPAD Trial for Depression

References

Carr D, Goudas L, Lawrence D,  et al.  Management of Cancer Symptoms: Pain, Depression, and Fatigue. Rockville, MD: Agency for Healthcare Research and Quality; 2002. Evidence Report/Technology Assessment 61. AHRQ publication 02-E032
Bottomley A. Depression in cancer patients: a literature review.  Eur J Cancer Care (Engl). 1998;7(3):181-191
PubMed   |  Link to Article
Caraceni A, Portenoy RK.International Association for the Study of Pain.  An international survey of cancer pain characteristics and syndromes.  Pain. 1999;82(3):263-274
PubMed   |  Link to Article
Portenoy RK, Lesage P. Management of cancer pain.  Lancet. 1999;353(9165):1695-1700
PubMed   |  Link to Article
Given CW, Given B, Azzouz F, Kozachik S, Stommel M. Predictors of pain and fatigue in the year following diagnosis among elderly cancer patients.  J Pain Symptom Manage. 2001;21(6):456-466
PubMed   |  Link to Article
Given CW, Given BA, Stommel M. The impact of age, treatment, and symptoms on the physical and mental health of cancer patients: a longitudinal perspective.  Cancer. 1994;74(7):(suppl)  2128-2138
PubMed   |  Link to Article
Kurtz ME, Kurtz JC, Stommel M, Given CW, Given B. Predictors of depressive symptomatology of geriatric patients with colorectal cancer: a longitudinal view.  Support Care Cancer. 2002;10(6):494-501
PubMed   |  Link to Article
Kurtz ME, Kurtz JC, Stommel M, Given CW, Given B. Physical functioning and depression among older persons with cancer.  Cancer Pract. 2001;9(1):11-18
PubMed   |  Link to Article
Kurtz ME, Kurtz JC, Stommel M, Given CW, Given B. The influence of symptoms, age, comorbidity and cancer site on physical functioning and mental health of geriatric women patients.  Women Health. 1999;29(3):1-12
PubMed   |  Link to Article
Stommel M, Given BA, Given CW. Depression and functional status as predictors of death among cancer patients.  Cancer. 2002;94(10):2719-2727
PubMed   |  Link to Article
Fallowfield L, Ratcliffe D, Jenkins V, Saul J. Psychiatric morbidity and its recognition by doctors in patients with cancer.  Br J Cancer. 2001;84(8):1011-1015
PubMed   |  Link to Article
Passik SD, Dugan W, McDonald MV, Rosenfeld B, Theobald DE, Edgerton S. Oncologists' recognition of depression in their patients with cancer.  J Clin Oncol. 1998;16(4):1594-1600
PubMed
Sharpe M, Strong V, Allen K,  et al.  Major depression in outpatients attending a regional cancer centre: screening and unmet treatment needs.  Br J Cancer. 2004;90(2):314-320
PubMed   |  Link to Article
Cleeland CS, Gonin R, Hatfield AK,  et al.  Pain and its treatment in outpatients with metastatic cancer.  N Engl J Med. 1994;330(9):592-596
PubMed   |  Link to Article
Cleeland CS. Undertreatment of cancer pain in elderly patients.  JAMA. 1998;279(23):1914-1915
PubMed   |  Link to Article
Gilbody S, Bower P, Fletcher J, Richards D, Sutton AJ. Collaborative care for depression: a cumulative meta-analysis and review of longer-term outcomes.  Arch Intern Med. 2006;166(21):2314-2321
PubMed   |  Link to Article
Williams JW Jr, Gerrity M, Holsinger T, Dobscha S, Gaynes B, Dietrich A. Systematic review of multifaceted interventions to improve depression care.  Gen Hosp Psychiatry. 2007;29(2):91-116
PubMed   |  Link to Article
Williams LS, Kroenke K, Bakas T,  et al.  Care management of post-stroke depression: a randomized controlled trial.  Stroke. 2007;38(3):998-1003
PubMed   |  Link to Article
Rollman BL, Belnap BH, LeMenager MS,  et al.  Telephone-delivered collaborative care for treating post-CABG depression: a randomized controlled trial.  JAMA. 2009;302(19):2095-2103
PubMed   |  Link to Article
Dobscha SK, Corson K, Perrin NA,  et al.  Collaborative care for chronic pain in primary care: a clustered randomized trial.  JAMA. 2009;301(12):1242-1252
PubMed   |  Link to Article
Kroenke K, Bair MJ, Damush TM,  et al.  Optimized antidepressant therapy and pain self-management in primary care patients with depression and musculoskeletal pain: a randomized controlled trial.  JAMA. 2009;301(20):2099-2110
PubMed   |  Link to Article
Kroenke K, Theobald D, Norton K,  et al.  Indiana Cancer Pain and Depression (INCPAD) trial: design of a telecare management intervention for cancer-related symptoms and baseline characteristics of enrolled participants.  Gen Hosp Psychiatry. 2009;31(3):240-253
PubMed   |  Link to Article
Kroenke K, Spitzer RL, Williams JBW. The PHQ-9: Validity of a brief depression severity measure.  J Gen Intern Med. 2001;16(9):606-613
PubMed   |  Link to Article
Kroenke K, Spitzer RL. The PHQ-9: a new depression and diagnostic severity measure.  Psychiatr Ann. 2002;32:509-521
Cleeland CS. Pain assessment in cancer. In: Osoba D, ed. Effect of Cancer on Quality of Life. Boca Raton, FL: CRC Press; 1991:293-305
Williams LS, Jones WJ, Shen J, Robinson RL, Kroenke K. Outcomes of newly referred neurology outpatients with depression and pain.  Neurology. 2004;63(4):674-677
PubMed   |  Link to Article
Callahan CM, Unverzagt FW, Hui SL, Perkins AJ, Hendrie HC. A six-item screener to identify cognitive impairment among potential subjects for clinical research.  Med Care. 2002;40(9):771-781
PubMed   |  Link to Article
Unützer J, Katon W, Callahan CM,  et al;  IMPACT Investigators.  Collaborative care management of late-life depression in the primary care setting: a randomized controlled trial.  JAMA. 2002;288(22):2836-2845
PubMed   |  Link to Article
Kroenke K, West SL, Swindle R,  et al.  Similar effectiveness of paroxetine, fluoxetine, and sertraline in primary care: a randomized trial.  JAMA. 2001;286(23):2947-2955
PubMed   |  Link to Article
Katon W, Von Korff M, Lin E,  et al.  Stepped collaborative care for primary care patients with persistent symptoms of depression: a randomized trial.  Arch Gen Psychiatry. 1999;56(12):1109-1115
PubMed   |  Link to Article
Cleeland CS. Measurement of pain by subjective report. In: Chapman CR, Loeser JD, eds. Advances in Pain Research and Therapy. vol 12 Issues in Pain Measurement. New York, NY: Raven Press; 1989:391-403
Cuijpers P, Smits N, Donker T, ten Have M, de Graaf R. Screening for mood and anxiety disorders with the five-item, the three-item, and the two-item Mental Health Inventory.  Psychiatry Res. 2009;168(3):250-255
PubMed   |  Link to Article
McHorney CA, Ware JE Jr, Raczek AE. The MOS 36-Item Short-Form Health Survey (SF-36), II: psychometric and clinical tests of validity in measuring physical and mental health constructs.  Med Care. 1993;31(3):247-263
PubMed   |  Link to Article
Kroenke K, Bair M, Damush T,  et al.  Stepped Care for Affective Disorders and Musculoskeletal Pain (SCAMP) study design and practical implications of an intervention for comorbid pain and depression.  Gen Hosp Psychiatry. 2007;29(6):506-517
PubMed   |  Link to Article
Ware J Jr, Kosinski M, Keller SD. A 12-Item Short-Form Health Survey: construction of scales and preliminary tests of reliability and validity.  Med Care. 1996;34(3):220-233
PubMed   |  Link to Article
Unützer J, Katon W, Williams JW Jr,  et al.  Improving primary care for depression in late life: the design of a multicenter randomized trial.  Med Care. 2001;39(8):785-799
PubMed   |  Link to Article
Spitzer RL, Kroenke K, Williams JB, Lowe B. A brief measure for assessing generalized anxiety disorder: the GAD-7.  Arch Intern Med. 2006;166(10):1092-1097
PubMed   |  Link to Article
Kroenke K, Spitzer RL, Williams JBW, Monahan PO, Lowe B. Anxiety disorders in primary care: prevalence, impairment, comorbidity, and detection.  Ann Intern Med. 2007;146(5):317-325
PubMed   |  Link to Article
Sheehan DV, Harnett-Sheehan K, Raj BA. The measurement of disability.  Int Clin Psychopharmacol. 1996;11:(suppl 3)  89-95
PubMed   |  Link to Article
Wagner EH, LaCroix AZ, Grothaus LC, Hecht JA. Responsiveness of health status measures to change among older adults.  J Am Geriatr Soc. 1993;41(3):241-248
PubMed
Rost K, Nutting P, Smith J, Werner J, Duan N. Improving depression outcomes in community primary care practice: a randomized trial of the quEST intervention.  J Gen Intern Med. 2001;16(3):143-149
PubMed   |  Link to Article
Cintron A, Morrison RS. Pain and ethnicity in the United States: a systematic review.  J Palliat Med. 2006;9(6):1454-1473
PubMed   |  Link to Article
Lesser IM, Castro DB, Gaynes BN,  et al.  Ethnicity/race and outcome in the treatment of depression: results from STAR*D.  Med Care. 2007;45(11):1043-1051
PubMed   |  Link to Article
Rush AJ, Trivedi MH, Wisniewski SR,  et al.  Acute and longer-term outcomes in depressed outpatients requiring one or several treatment steps: a STAR*D report.  Am J Psychiatry. 2006;163(11):1905-1917
PubMed   |  Link to Article
 Cancer Pain Version 1.2004. NCCN Practice Guidelines in Oncology - v.1.2004. 2004
Bookbinder M, Coyle N, Kiss M,  et al.  Implementing national standards for cancer pain management: program model and evaluation.  J Pain Symptom Manage. 1996;12(6):334-347, discussion 331-333
PubMed   |  Link to Article
Keller MB. Report of the WHO Expert Committee on Cancer Pain Relief and Active Supportive Care. 2nd ed. Geneva, Switzerland: World Health Organization; 1996. Technical report series 804
 Cancer Pain and End-of-Life Care. Chicago, IL: American Medical Association; 2004. Pain Management; part 4
Keller MB. Past, present, and future directions for defining optimal treatment outcome in depression: remission and beyond.  JAMA. 2003;289(23):3152-3160
PubMed   |  Link to Article
Dworkin RH, Turk DC, Wyrwich KW,  et al.  Interpreting the clinical importance of treatment outcomes in chronic pain clinical trials: IMMPACT recommendations.  J Pain. 2008;9(2):105-121
PubMed   |  Link to Article
Mallinckrodt CH, Clark WS, David SR. Type I error rates from mixed effects model repeated measures versus fixed effects ANOVA with missing values imputed via last observation carried forward.  Drug Inf J. 2001;35:1215-1225
Link to Article
Kazis LE, Anderson JJ, Meenan RF. Effect sizes for interpreting changes in health status.  Med Care. 1989;27(3):(suppl)  S178-S189
PubMed   |  Link to Article
Fann JR, Fan MY, Unützer J. Improving primary care for older adults with cancer and depression.  J Gen Intern Med. 2009;24:(suppl 2)  S417-S424
PubMed   |  Link to Article
Ell K, Xie B, Quon B, Quinn DI, Dwight-Johnson M, Lee PJ. Randomized controlled trial of collaborative care management of depression among low-income patients with cancer.  J Clin Oncol. 2008;26(27):4488-4496
PubMed   |  Link to Article
Strong V, Waters R, Hibberd C,  et al.  Management of depression for people with cancer (SMaRT oncology 1): a randomised trial.  Lancet. 2008;372(9632):40-48
PubMed   |  Link to Article
Simon GE, Ludman EJ, Tutty S, Operskalski B, Von Korff M. Telephone psychotherapy and telephone care management for primary care patients starting antidepressant treatment: a randomized controlled trial.  JAMA. 2004;292(8):935-942
PubMed   |  Link to Article
Given C, Given B, Rahbar M,  et al.  Effect of a cognitive behavioral intervention on reducing symptom severity during chemotherapy.  J Clin Oncol. 2004;22(3):507-516
PubMed   |  Link to Article
Sherwood P, Given BA, Given CW,  et al.  A cognitive behavioral intervention for symptom management in patients with advanced cancer.  Oncol Nurs Forum. 2005;32(6):1190-1198
PubMed   |  Link to Article
Sikorskii A, Given CW, Given B,  et al.  Symptom management for cancer patients: a trial comparing two multimodal interventions.  J Pain Symptom Manage. 2007;34(3):253-264
PubMed   |  Link to Article
Coleman K, Mattke S, Perrault PJ, Wagner EH. Untangling practice redesign from disease management: how do we best care for the chronically ill?  Annu Rev Public Health. 2009;30:385-408
PubMed   |  Link to Article

Letters

CME
Meets CME requirements for:
Browse CME for all U.S. States
Accreditation Information
The American Medical Association is accredited by the Accreditation Council for Continuing Medical Education to provide continuing medical education for physicians. The AMA designates this journal-based CME activity for a maximum of 1 AMA PRA Category 1 CreditTM per course. Physicians should claim only the credit commensurate with the extent of their participation in the activity. Physicians who complete the CME course and score at least 80% correct on the quiz are eligible for AMA PRA Category 1 CreditTM.
Note: You must get at least of the answers correct to pass this quiz.
You have not filled in all the answers to complete this quiz
The following questions were not answered:
Sorry, you have unsuccessfully completed this CME quiz with a score of
The following questions were not answered correctly:
Commitment to Change (optional):
Indicate what change(s) you will implement in your practice, if any, based on this CME course.
Your quiz results:
The filled radio buttons indicate your responses. The preferred responses are highlighted
For CME Course: A Proposed Model for Initial Assessment and Management of Acute Heart Failure Syndromes
Indicate what changes(s) you will implement in your practice, if any, based on this CME course.

Multimedia

Data Supplements
Supplemental Content

Some tools below are only available to our subscribers or users with an online account.

Web of Science® Times Cited: 63

Related Content

Customize your page view by dragging & repositioning the boxes below.

Articles Related By Topic
Related Collections
PubMed Articles
JAMAevidence.com

The Rational Clinical Examination
Make the Diagnosis: Cancer, Family History

The Rational Clinical Examination
Original Article: Does This Patient Have a Family History of Cancer?