Aging and health: Self-efficacy for Self-direction in Health Scale

ABSTRACT OBJECTIVE To validate the Escala de Autoeficácia para a Autodireção na Saúde (EAAS – Self-efficacy for Self-direction in Health Scale). METHODS Non-experimental quantitative study of EAAS validation, by confirmatory factorial analyses, evaluating a sample of 508 older adults from the north and the center of Portugal with mean age of 71.67 (from 51 to 96 years), to whom the Self-efficacy for Self-direction in Health Scale, the Rosenberg Self-esteem Scale, the Positive and Negative Affect Schedule, the Satisfaction with Life Scale, and the Instrumental Activities of Daily Living Scale were applied. The EAAS was developed from the theoretical constructs of self-efficacy and from self-directed learning within the PALADIN European project framework, aiming to develop an instrument able to assess the extent to which older adults take good care of their health. RESULTS The internal consistency was 0.87 (Cronbach’s alpha) and confirmatory factorial analyses enabled to find a model near the one theoretically proposed, indicating a structure consisting of four dimensions: physical exercise, healthy diet, engaging in health-related learning, and visits to health professionals. From the psychometric point of view, the model in four factors showed quite satisfactory fit indicators. CONCLUSIONS The Self-efficacy for Self-direction in Health Scale, with 16 items, is adequate to evaluate to what extent older adults have confidence in their ability to take care of their own health, with high degree of autonomy

Meeting them where they are: Using the Internet to deliver behavioral medicine interventions for pain

Pharmacological and interventional pain medicine treatments are emphasized in the routine treatment of chronic pain despite strong evidence for the efficacy and safety of behavioral approaches. Most medical professionals have not incorporated behavioral pain treatments into their practices. Internet-based interventions have the potential to increase clinical use of these treatments. We discuss the strengths and weaknesses of current Internet-based behavioral pain management interventions, focusing on three broad intervention categories: therapist-guided interventions, unguided (automated) interventions, and pain-relevant applications for mobile platforms. Examples of each category are discussed, revealing a high degree of variation in approaches, user interfaces, and components as well as variability in the degree to which these interventions have been subjected to empirical testing. Finally, we highlight key issues for research and clinical implementation, with the goal of advancing this field so that it can meet its potential to increase access to evidence-based behavioral medicine treatments for chronic pain