CONTEXT: Cancer pain continues to be extensively undertreated, despite established guidelines. Although the efficacy of interventions that support patients' self-management of cancer pain has been demonstrated in several studies, the most effective components of these interventions remain unknown. OBJECTIVES: The purpose of this review of experimental and quasi-experimental studies was to systematically describe the structure and content components, as well as the efficacy of various components, of interventions designed to improve patients' self-management of cancer pain. METHODS: A systematic review of the literature was done that supplemented the 2009 meta-analysis of Bennett et al. Intervention components were categorized using content analysis. The intervention components were compared based on their calculated largest effect sizes (ESs) within each study (i.e., Hedges G(u) for between-group differences in pain intensity scores). RESULTS: Based on 34 publications (i.e., 24 interventions), seven structure and 16 content components were identified. In 11 studies with statistically significant ESs, the largest ES within each study ranged from -1.87 to -0.44, which represented clinically meaningful effects. No single component was found to have a discernable influence on ES. CONCLUSION: This analysis provides researchers and clinicians with a detailed overview of the various structural and content components, as well as various combinations that were tested in intervention studies to improve cancer pain management. However, because of a variety of limitations, the most efficacious intervention components or combination of components remain to be determined in future studies.
CONTEXT: Cancer pain continues to be extensively undertreated, despite established guidelines. Although the efficacy of interventions that support patients' self-management of cancer pain has been demonstrated in several studies, the most effective components of these interventions remain unknown. OBJECTIVES: The purpose of this review of experimental and quasi-experimental studies was to systematically describe the structure and content components, as well as the efficacy of various components, of interventions designed to improve patients' self-management of cancer pain. METHODS: A systematic review of the literature was done that supplemented the 2009 meta-analysis of Bennett et al. Intervention components were categorized using content analysis. The intervention components were compared based on their calculated largest effect sizes (ESs) within each study (i.e., Hedges G(u) for between-group differences in pain intensity scores). RESULTS: Based on 34 publications (i.e., 24 interventions), seven structure and 16 content components were identified. In 11 studies with statistically significant ESs, the largest ES within each study ranged from -1.87 to -0.44, which represented clinically meaningful effects. No single component was found to have a discernable influence on ES. CONCLUSION: This analysis provides researchers and clinicians with a detailed overview of the various structural and content components, as well as various combinations that were tested in intervention studies to improve cancer pain management. However, because of a variety of limitations, the most efficacious intervention components or combination of components remain to be determined in future studies.
Authors: Karen L Schumacher; Vicki L Plano Clark; Claudia M West; Marylin J Dodd; Michael W Rabow; Christine Miaskowski Journal: J Pain Symptom Manage Date: 2014-04-04 Impact factor: 3.612
Authors: Karen L Schumacher; Vicki L Plano Clark; Claudia M West; Marylin J Dodd; Michael W Rabow; Christine Miaskowski Journal: J Pain Symptom Manage Date: 2014-04-05 Impact factor: 3.612
Authors: Anna Santos Salas; Jorge Fuentes Contreras; Susan Armijo-Olivo; Humam Saltaji; Sharon Watanabe; Thane Chambers; Lori Walter; Greta G Cummings Journal: Support Care Cancer Date: 2015-11-10 Impact factor: 3.603
Authors: Karen L Schumacher; Vicki L Plano Clark; Michael W Rabow; Steven M Paul; Christine Miaskowski Journal: Cancer Nurs Date: 2021 Mar-Apr 01 Impact factor: 2.592