Felicia Hill-Briggs1,2, Leigh Gemmell3. 1. The Department of Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland (Dr HillBriggs) 2. The Department of Health, Behavior, and Society, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland (Dr Hill-Briggs) 3. VA Pittsburgh Healthcare System (Ms Gemmell)
Abstract
PURPOSE: The purpose of this systematic review is to assess the published literature on problem solving and its associations with diabetes self-management and control, as the state of evidence exists. DATA SOURCES: PubMed, PsychINFO, and ERIC electronic databases were searched for the years 1990 to the present and for English-language articles, and reference lists from included studies were reviewed to capture additional studies. STUDY SELECTION: Quantitative and qualitative studies that addressed problem solving as a process or strategy for diabetes self-management were included. Fifty-two studies met the criteria for inclusion. DATA EXTRACTION: Study design, sample characteristics, measures, and results were reviewed. DATA SYNTHESIS: Thirty-six studies were quantitative; 16 were conceptual or qualitative. Studies were classified as addressing the problem-solving definition/framework, assessment, intervention, or health care professional issues. CONCLUSIONS: Problem solving is a multidimensional construct encompassing verbal reasoning/rational problem solving, quantitative problem solving, and coping. Aspects of problem solving can be assessed using newly developed diabetes-specific problem-solving measures for children/adolescents and adults. Cross-sectional studies in adults, but not children/adolescents, provide consistent evidence of associations between problem solving and A1C level. Only 25% of problem-solving intervention studies with children/adolescents and 50% of interventions with adults reported improvement in A1C. Most intervention studies reported an improvement in behaviors, most commonly global adherence in children/adolescents and dietary behavior in adults. Methodological limitations (noninclusion of problem-solving measures, inadequate descriptions of problem-solving interventions, homogenous samples) need to be addressed in future research to clarify the effect of problem solving on diabetes outcomes, identify characteristics of effective interventions, and determine the utility across age and racial/ethnic groups.
PURPOSE: The purpose of this systematic review is to assess the published literature on problem solving and its associations with diabetes self-management and control, as the state of evidence exists. DATA SOURCES: PubMed, PsychINFO, and ERIC electronic databases were searched for the years 1990 to the present and for English-language articles, and reference lists from included studies were reviewed to capture additional studies. STUDY SELECTION: Quantitative and qualitative studies that addressed problem solving as a process or strategy for diabetes self-management were included. Fifty-two studies met the criteria for inclusion. DATA EXTRACTION: Study design, sample characteristics, measures, and results were reviewed. DATA SYNTHESIS: Thirty-six studies were quantitative; 16 were conceptual or qualitative. Studies were classified as addressing the problem-solving definition/framework, assessment, intervention, or health care professional issues. CONCLUSIONS: Problem solving is a multidimensional construct encompassing verbal reasoning/rational problem solving, quantitative problem solving, and coping. Aspects of problem solving can be assessed using newly developed diabetes-specific problem-solving measures for children/adolescents and adults. Cross-sectional studies in adults, but not children/adolescents, provide consistent evidence of associations between problem solving and A1C level. Only 25% of problem-solving intervention studies with children/adolescents and 50% of interventions with adults reported improvement in A1C. Most intervention studies reported an improvement in behaviors, most commonly global adherence in children/adolescents and dietary behavior in adults. Methodological limitations (noninclusion of problem-solving measures, inadequate descriptions of problem-solving interventions, homogenous samples) need to be addressed in future research to clarify the effect of problem solving on diabetes outcomes, identify characteristics of effective interventions, and determine the utility across age and racial/ethnic groups.
Authors: Heather J Cole-Lewis; Arlene M Smaldone; Patricia R Davidson; Rita Kukafka; Jonathan N Tobin; Andrea Cassells; Elizabeth D Mynatt; George Hripcsak; Lena Mamykina Journal: Int J Med Inform Date: 2015-08-08 Impact factor: 4.046
Authors: Wayne Katon; Elizabeth H B Lin; Michael Von Korff; Paul Ciechanowski; Evette Ludman; Bessie Young; Carolyn Rutter; Malia Oliver; Mary McGregor Journal: Contemp Clin Trials Date: 2010-03-27 Impact factor: 2.226
Authors: Lucinda L Bryant; Nancy P Chin; Lesley A Cottrell; Joyce M Duckles; I Diana Fernandez; D Marcela Garces; Thomas C Keyserling; Colleen R McMilin; Karen E Peters; Carmen D Samuel-Hodge; Shin-Ping Tu; Maihan B Vu; Annette L Fitzpatrick Journal: Prev Chronic Dis Date: 2010-02-15 Impact factor: 2.830