Psychosocial Influences on Low Back Pain, Disability, and Response to Treatment

被引:147
作者
Hill, Jonathan C. [1 ]
Fritz, Julie M. [2 ,3 ]
机构
[1] Univ Keele, Arthrit Res UK Primary Care Ctr, Keele ST5 5BG, Staffs, England
[2] Univ Utah, Coll Hlth, Dept Phys Therapy, Salt Lake City, UT USA
[3] Intermt Healthcare, Clin Outcomes Res, Salt Lake City, UT USA
来源
PHYSICAL THERAPY | 2011年 / 91卷 / 05期
关键词
PHYSICAL-THERAPY INTERVENTIONS; CLINICAL-PREDICTION RULE; FEAR-AVOIDANCE BELIEFS; PRIMARY-CARE; MUSCULOSKELETAL PAIN; SCREENING QUESTIONNAIRE; PROGNOSTIC-FACTORS; GENERAL-PRACTICE; HEALTH-CARE; FOLLOW-UP;
D O I
10.2522/ptj.20100280
中图分类号
R826.8 [整形外科学]; R782.2 [口腔颌面部整形外科学]; R726.2 [小儿整形外科学]; R62 [整形外科学(修复外科学)];
学科分类号
100224 [整形外科学];
摘要
Evidence suggests that psychosocial factors have an influence on the outcome of physical therapy treatment and that the extent of their influence differs considerably among patients. As a consequence, substantial research efforts are focused on developing new clinical tools designed to identify and highlight when psychosocial factors are present at a level relevant to decision making. The conceptual differences in the ways that psychosocial factors influence outcome are described, structured around 3 common research terms: (1) prognostic factors, (2) treatment effect modifiers or moderators, and (3) treatment mediators. Prognostic factors are those characteristics that help estimate a patient's likely outcome irrespective of the chosen management. Treatment effect modifiers or moderators are factors measured at baseline that influence the relationship between a specific intervention and outcome. Treatment mediators are factors that have an intermediary role in the link between treatment and outcome. How these different influences on outcome can be translated into useful and complementary tools that aim to reduce treatment variability in clinical practice is described. One approach is to use prognostic factors to develop screening tools that identify an individual's risk status, typically based on predictive psychosocial factors such as catastophizing and depression. Another approach is to identify specific treatment effect modifiers to derive treatment decision aids or prediction rules to help match a patient's characteristics to the interventions available. A third approach is to use treatment mediators (eg, self-efficacy) to develop monitoring tools to inform the clinician about which aspects of treatment to strengthen.
引用
收藏
页码:712 / 721
页数:10
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