ABSTRACT
Complementary and integrative medicine (CIM) can be of great support to individuals suffering from psychiatric conditions; however, it is still rarely incorporated into clinical practice. OBJECTIVE: To examine the influences of psychosocial and sociodemographic factors on health-care professionals' intention to use CIM in their psychiatric clinical practice. METHOD: One-hundred-and-five participants completed a questionnaire developed from an adapted version of Triandis' Theory of Interpersonal Behavior (TIB). Intentions to use CIM (yes or no) were analyzed using logistic regression models. RESULTS: The multivariate model retained three main factors: affect, perceived social norms, and conditions facilitating CIM. These predicted health-care professionals' intention to use CIM with an AUC = 94.7%. RESULTS: underlined that positive affective attitudes towards CIM, feeling that CIM was congruent with professional and institutional goals, and having sufficient skills in CIM were essential to ensuring that health-care professionals would integrate CIM into their clinical practice.
Subject(s)
Complementary Therapies , Integrative Medicine , Health Personnel , Humans , Intention , Surveys and QuestionnairesABSTRACT
OBJECTIVE: The objective of this review was to identify and describe the factors influencing diabetes self-management in adults by summarizing the available evidence concerning their types, categories, and relative importance. INTRODUCTION: A wide range of factors, acting simultaneously, influence diabetes self-management and interfere with its actual application by patients. There is a variety of systematic reviews of these factors; however, a more thorough examination of their influences was lacking. INCLUSION CRITERIA: Systematic reviews of qualitative or quantitative literature focusing on factors influencing adult diabetes self-management in general or on individual behaviors (ie, management of oral antidiabetic medication and insulin injections, self-monitoring of blood glucose, foot care, healthy eating, regular exercise, and smoking cessation) will be included. METHODS: We performed an extensive search of 11 bibliographic databases, including gray literature, up to June 2019. Quantitative and qualitative findings were summarized separately and labeled according to their types (eg, facilitator/barrier, strength and direction of association), categories (eg, demographic, social), and frequency of occurrence. RESULTS: We identified 51 types of factors within 114 systematic reviews, which mostly addressed medication-taking behavior. Thirty-two (62.7%) factors were reported in both qualitative and quantitative literature. The predominant influences were psychological factors and behavioral attributes/skills factors. The most frequently reported facilitators of diabetes self-management were motivation to diabetes self-management, a favorable attitude to diabetes self-management, knowledge about the disease, medication and behaviors associated with diabetes self-management, skills, and self-efficacy/perceived behavioral control. The predominant barriers were the presence of depression, and polypharmacy or drug regimen complexity. The demographic factor of female sex was frequently reported for its negative influence on diabetes self-management, whereas older age was a positive factor. The social/cultural and physical environment were the least-studied categories. Other factors such as social support from family, friends, or networks; interventions led by health professionals; and a strong community environment with good social services favoring diabetes self-management were reported as major facilitators of diabetes self-management. CONCLUSIONS: Essential components of interventions to promote effective diabetes self-management should aim to help adults manage the effects of specific factors related to their psychological and practical self-management experience. Screening for depression, in particular, should become an integral part of the support for adult diabetes self-management, as depression is a particular obstacle to the effectiveness of diabetes self-management. Future studies should more deeply examine the influence of factors identified in the sociocultural and physical environment categories. Research should properly consider and invest efforts in strengthening social support and innovative community care approaches, including pharmacist- and nurse-led care models for encouraging and improving adult diabetes self-management. Finally, researchers should examine non-modifiable factors - age, sex, or socioeconomic status - in the light of factors from other categories in order to deepen understanding of their real-world patterns of action on adult diabetes self-management. SYSTEMATIC REVIEW REGISTRATION NUMBER: PROSPERO CRD42018084665.
Subject(s)
Diabetes Mellitus , Self-Management , Adult , Aged , Diabetes Mellitus/drug therapy , Female , Health Behavior , Health Personnel , Humans , Systematic Reviews as TopicABSTRACT
The present study describes adult diabetes self-management (DSM) profiles using self-reported outcomes associated with the engagement in diabetes care activities and psychological adjustment to the disease. We used self-reported data from a community-based cohort of adults with diabetes (N = 316) and conducted a cluster analysis of selected self-reported DSM outcomes (i.e., DSM behaviors, self-efficacy and perceived empowerment, diabetes distress and quality of life). We tested whether clusters differed according to sociodemographic, clinical, and care delivery processes variables. Cluster analysis revealed four distinct DSM profiles that combined high/low levels of engagement in diabetes care activities and good/poor psychological adjustment to the disease. The profiles were differently associated with the variables of perceived financial insecurity, taking insulin treatment, having depression, and the congruence of the care received with the Chronic Care Model. The results could help health professionals gain a better understanding of the different realities facing people living with diabetes, identify patients at risk of poor outcomes related to their DSM, and lead to the development of profile-specific DSM interventions.
Subject(s)
Diabetes Mellitus, Type 1/therapy , Diabetes Mellitus, Type 2/therapy , Health Behavior , Quality of Life , Self Report , Self-Management , Adult , Aged , Aged, 80 and over , Cross-Sectional Studies , Female , Humans , Male , Middle Aged , Patient Reported Outcome MeasuresABSTRACT
REVIEW OBJECTIVES: The aim of this umbrella review is to identify and describe factors influencing diabetes self-management (DSM) in adults with diabetes. More specifically, we will address DSM-related factors and their relationships, considering both qualitative and quantitative components of available literature.The review question for the qualitative component of the umbrella review is:The review questions for the quantitative component of the umbrella review are:An additional question will be applied to both the qualitative and quantitative components of the overview.