Cancer Carepartners: Improving patients' symptom management by engaging informal caregivers

Maria J Silveira, Charles W Given, Kemp B Cease, Alla Sikorskii, Barbara Given, Laurel L Northouse, John D Piette, Maria J Silveira, Charles W Given, Kemp B Cease, Alla Sikorskii, Barbara Given, Laurel L Northouse, John D Piette

Abstract

Background: Previous studies have found that cancer patients undergoing chemotherapy can effectively manage their own symptoms when given tailored advice. This approach, however, may challenge patients with poor performance status and/or emotional distress. Our goal is to test an automated intervention that engages a friend or family member to support a patient through chemotherapy.

Methods/design: We describe the design and rationale of a randomized, controlled trial to assess the efficacy of 10 weeks of web-based caregiver alerts and tailored advice for helping a patient manage symptoms related to chemotherapy. The study aims to test the primary hypothesis that patients whose caregivers receive alerts and tailored advice will report less frequent and less severe symptoms at 10 and 14 weeks when compared to patients in the control arm; similarly, they will report better physical function, fewer outpatient visits and hospitalizations related to symptoms, and greater adherence to chemotherapy. 300 patients with solid tumors undergoing chemotherapy at two Veteran Administration oncology clinics reporting any symptom at a severity of ≥4 and a willing informal caregiver will be assigned to either 10 weeks of automated telephonic symptom assessment (ATSA) alone, or 10 weeks of ATSA plus web-based notification of symptom severity and problem solving advice to their chosen caregiver. Patients and caregivers will be surveyed at intake, 10 weeks and 14 weeks. Both groups will receive standard oncology, hospice, and palliative care.

Discussion: Patients undergoing chemotherapy experience many symptoms that they may be able to manage with the support of an activated caregiver. This intervention uses readily available technology to improve patient caregiver communication about symptoms and caregiver knowledge of symptom management. If successful, it could substantially improve the quality of life of veterans and their families during the stresses of chemotherapy without substantially increasing the cost of care.

Trial registration: NCT00983892.

Figures

Figure 1
Figure 1
Depiction of theoretical model. CG = caregiver; CR = care recipient.
Figure 2
Figure 2
Screen shots of Cancer CarePartners Web site.

References

    1. Hogan BE, Linden W, Najarian B. Social support interventions: do they work? Clin Psychol Rev. 2002;22(3):383–442.
    1. Bucher JA, Loscalzo M, Zabora J, Houts PS, Hooker C, BrintzenhofeSzoc K. Problem-solving cancer care education for patients and caregivers. Cancer Pract. 2001;9(2):66–70. doi: 10.1046/j.1523-5394.2001.009002066.x.
    1. Christensen DN. Postmastectomy couple counseling: an outcome study of a structured treatment protocol. J Sex Marital Ther. 1983;9(4):266–275. doi: 10.1080/00926238308410913.
    1. Donnelly JM, Kornblith AB, Fleishman S, Zuckerman E, Raptis G, Hudis CA, Hamilton N, Payne D, Massie MJ, Norton L, Holland JC. A pilot study of interpersonal psychotherapy by telephone with cancer patients and their partners. Psychooncology. 2000;9(1):44–56. doi: 10.1002/(SICI)1099-1611(200001/02)9:1<44::AID-PON431>;2-V.
    1. Hoskins CN, Haber J, Budin WC, Cartwright-Alcarese F, Kowalski MO, Panke J, Maislin G. Breast cancer: education, counseling, and adjustment--a pilot study. Psychol Rep. 2001;89(3):677–704. doi: 10.2466/pr0.2001.89.3.677.
    1. Jepson C, McCorkle R, Adler D, Nuamah I, Lusk E. Effects of home care on caregivers' psychosocial status. Image J Nurs Sch. 1999;31(2):115–120. doi: 10.1111/j.1547-5069.1999.tb00444.x.
    1. McCorkle R, Pasacreta JV. Enhancing caregiver outcomes in palliative care. Cancer Control. 2001;8(1):36–45.
    1. Pasacreta JV, McCorkle R. Cancer care: impact of interventions on caregiver outcomes. Annu Rev Nurs Res. 2000;18:127–148.
    1. Northouse L, Kershaw T, Mood D, Schafenacker A. Effects of a family intervention on the quality of life of women with recurrent breast cancer and their family caregivers. Psycho-Oncology. 2005;14(6):478–491. doi: 10.1002/pon.871.
    1. Kozachik SL, Given CW, Given BA, Pierce SJ, Azzouz F, Rawl SM, Champion VL. Improving depressive symptoms among caregivers of patients with cancer: results of a randomized clinical trial. Oncology Nursing Forum. 2001;28(7):1149–1157.
    1. Given CW, Given B. et al.Effect of a cognitive behavioral intervention on reducing symptom severity during chemotherapy. J Clin Onc. 2004;22(3):507–515.
    1. Harding R, Higginson IJ. What is the best way to help caregivers in cancer and palliative care? A systematic literature review of interventions and their effectiveness. Palliative Medicine. 2003;17(1):63–74. doi: 10.1191/0269216303pm667oa.
    1. Northouse LL, Mood DW, Schafenacker A, Montie JE, Sandler HM, Forman JD, Hussain M, Pienta KJ, Smith DC, Kershaw T. Randomized clinical trial of a family intervention for prostate cancer patients and their spouses. Cancer. 2007;110(12):2809–2818. doi: 10.1002/cncr.23114.
    1. Kurtz ME, Kurtz JC, Given CW, Given B. A randomized, controlled trial of a patient/caregiver symptom control intervention: effects on depressive symptomatology of caregivers of cancer patients. Journal of Pain & Symptom Management. 2005;30(2):112–122. doi: 10.1016/j.jpainsymman.2005.02.008.
    1. Given B, Given CW, Sikorskii A, Jeon S, Sherwood P, Rahbar M. The impact of providing symptom management assistance on caregiver reaction: results of a randomized trial. Journal of Pain & Symptom Management. 2006;32(5):433–443. doi: 10.1016/j.jpainsymman.2006.05.019.
    1. Lazarus R, Folkman S. Stress, appraisal, and coping. NY, NY: Springer; 1984.
    1. Northouse LL, Mood D, Kershaw T, Schafenacker A, Mellon S, Walker J, Galvin E, Decker V. Quality of life of women with recurrent breast cancer and their family members. Journal of Clinical Oncology. 2002;20(19):4050–4064. doi: 10.1200/JCO.2002.02.054.
    1. Cleeland CS, Mendoza TR, Wang XS, Chou C, Harle MT, Morrissey M, Engstrom MC. Assessing symptom distress in cancer patients: the M.D. Anderson Symptom Inventory. Cancer. 2000;89(7):1634–1646. doi: 10.1002/1097-0142(20001001)89:7<1634::AID-CNCR29>;2-V.
    1. Given B, Given CW, McCorkle R, Kozachik S, Cimprich B, Rahbar MH, Wojcik C. Pain and fatigue management: results of a nursing randomized clinical trial. Oncol Nurs Forum. 2002;29(6):949–956. doi: 10.1188/02.ONF.949-956.
    1. Sikorskii A, Given CW, Given B, Jeon S, Decker V, Decker D. Symptom management for cancer patients: a trial comparing two multimodal interventions. J Pain and Symptom Management. 2007;34(3):253–264. doi: 10.1016/j.jpainsymman.2006.11.018.
    1. Given B, Given CW, Sikorskii A, Jeon S, McCorkle R, Champion V, Decker D. Establishing mild, moderate, and severe scores for cancer-related symptoms: how consistent and clinically meaningful are interference-based severity cut-points? J Pain Symptom Manage. 2008;35(2):126–135. doi: 10.1016/j.jpainsymman.2007.03.012.
    1. Piette JD. Interactive voice response systems in the diagnosis and management of chronic disease. American Journal of Managed Care. 2000;6(7):817–827.
    1. Piette JD, Weinberger M, McPhee SJ, Mah CA, Kraemer FB, Crapo LM. Do automated calls with nurse follow-up improve self-care and glycemic control among vulnerable patients with diabetes? American Journal of Medicine. 2000;108(1):20–27. doi: 10.1016/S0002-9343(99)00298-3.
    1. Piette JD, Weinberger M, McPhee SJ. The effect of automated calls with telephone nurse follow-up on patient-centered outcomes of diabetes care: a randomized, controlled trial. Medical Care. 2000;38(2):218–230. doi: 10.1097/00005650-200002000-00011.
    1. Piette JD, Weinberger M, Kraemer FB, McPhee SJ. Impact of automated calls with nurse follow-up on diabetes treatment outcomes in a Department of Veterans Affairs Health Care System: a randomized controlled trial. Diabetes Care. 2001;24(2):202–208. doi: 10.2337/diacare.24.2.202.
    1. Given C, Given B, Rahbar M, Jeon S, McCorkle R, Cimprich B, Galecki A, Kozachik S, Brady A, Fisher-Malloy MJ, Courtney K, Bowie E. Effect of a cognitive behavioral intervention on reducing symptom severity during chemotherapy. Journal of Clinical Oncology. 2004;22(3):507–516.
    1. Putting evidence into practice.
    1. National Institutes of Health Consensus Development Panel on Symptom Management in Cancer Independent Expert Panel. Pain, Depression, and Fatigue. Health NIo. Washington DC; 2002.
    1. National Comprehensive Cancer Network. Clinical practice guidelines in oncology. 2008.
    1. Cimprich B, Janz NK, Northouse L, Wren PA, Given B, Given CW. Taking CHARGE: A self-management program for women following breast cancer treatment. Psycho-Oncology. 2005;14(9):704–717. doi: 10.1002/pon.891.
    1. D'Zurilla T, Nezu A. In: Handbook of Cognitive-Behavioral Therapies. Dobson K, editor. NY NY: Guilford Press; 2001. Problem solving strategies; pp. 211–245.
    1. Norbeck JS, Lindsey AM, Carrieri VL. The development of an instrument to measure social support. Nursing Research. 1981;30(5):264–269.
    1. Norbeck JS, Lindsey AM, Carrieri VL. Further development of the Norbeck Social Support Questionnaire: normative data and validity testing. Nursing Research. 1983;32(1):4–9.
    1. Taves DR. Minimization: a new method of assigning patients to treatment and control groups. Clin Pharmacol Ther. 1974;15(5):443–453.
    1. Scott NW, McPherson GC, Ramsay CR, Campbell MK. The method of minimization for allocation to clinical trials. a review. Control Clin Trials. 2002;23(6):662–674. doi: 10.1016/S0197-2456(02)00242-8.
    1. McDowell I, Newell C. In: Measuring Health. McDowell I, Newell C, editor. NY: Oxford University Press; 1996. The Short Form 36 Health Survey; pp. 446–454.
    1. Merluzzi TV, Martinez Sanchez MA. Assessment of self-efficacy and coping with cancer: development and validation of the cancer behavior inventory. Health Psychol. 1997;16(2):163–170.
    1. Barrera M, Sandler I, Ramsey T. Preliminary development of a scale of social support. Am J Community Psychology. 1981;9:443–447.
    1. Given CW, Given B, Stommel M, Collins C, King S, Franklin S. The caregiver reaction assessment (CRA) for caregivers to persons with chronic physical and mental impairments. Res Nurs Health. 1992;15(4):271–283. doi: 10.1002/nur.4770150406.
    1. Radloff L. The CES-D Scale: a self-report depression scale for research in the general population. Applied Psych Measure. 1977;1:385–401. doi: 10.1177/014662167700100306.
    1. Zeiss AM, Gallagher-Thompson D, Lovett S, Rose J, McKibbin C. Self efficacy as a mediator of caregiver coping: development and testing of an assessment model. J Clin Geropsych. 1999;5(3):221–229. doi: 10.1023/A:1022955817074.
    1. Sloan JA, Cella D, Hays RD. Clinical significance of patient-reported questionnaire data: another step toward consensus. J Clin Epidemiol. 2005;58(12):1217–1219. doi: 10.1016/j.jclinepi.2005.07.009.
    1. Little R, Rubin M. Statistical analysis with missing data. NY NY: Wiley & Son; 1987.
    1. Baron RM, Kenny DA. The moderator-mediator variable distinction in social psychological research: conceptual, strategic, and statistical considerations. J Pers Soc Psychol. 1986;51(6):1173–1182.
    1. MacKinnon DP, Krull JL, Lockwood CM. Equivalence of the mediation, confounding and suppression effect. Prev Sci. 2000;1(4):173–181. doi: 10.1023/A:1026595011371.
    1. Mackinnon DP, Warsi G, Dwyer JH. A Simulation Study of Mediated Effect Measures. Multivariate Behav Res. 1995;30(1):41. doi: 10.1207/s15327906mbr3001_3.
    1. Judd CM, Kenny DA. Process analysis: estimating mediation in treatment evaluations. Evaluation Review. 1981;5:602–619. doi: 10.1177/0193841X8100500502.
    1. MacKinnon DP. In: Scientific Methods in Prevention Research. Cazares A, Beatty LA, editor. Washington DC: US Government Print Office; 1994. Analysis of mediating variables in prevention and intervention research; pp. 127–153.
    1. Dudley WN, Benuzillo JG, Carrico MS. SPSS and SAS programming for the testing of mediation models. Nurs Res. 2004;53(1):59–62. doi: 10.1097/00006199-200401000-00009.
    1. Sobel ME. In: Sociological Methodology. Leinhart S, editor. San Francisco: Jose-Bass; 1982. Asymptotic confidence intervals for indirect effects in structural equation models; pp. 290–312.
    1. Sobel ME. Effect analysis and causation in linear structural equation models. Psychometrica. 1990;55(3):495–515. doi: 10.1007/BF02294763.

Source: PubMed

3
Se inscrever