Sarah D Corathers1, Jessica C Kichler2, Nora F Fino3, Wei Lang3, Jean M Lawrence4, Jennifer K Raymond5, Joyce P Yi-Frazier6, Dana Dabelea7, Angela D Liese8, Sharon H Saydah9, Michael Seid10, Lawrence M Dolan1. 1. Division of Endocrinology. 2. Division of Behavioral Medicine and Clinical Psychology, Children's Hospital Medical Center. 3. Department of Bio-statistical Sciences, Wake Forest School of Medicine. 4. Department of Research & Evaluation, Kaiser Permanente Southern California. 5. Barbara Davis Center for Childhood Diabetes, University of Colorado. 6. Department of Pediatrics, University of Washington School of Medicine. 7. Department of Epidemiology, Colorado School of Public Health. 8. Department of Epidemiology and Biostatistics. 9. Division of Diabetes Translation, Centers for Disease Control and Prevention. 10. Division of Pulmonary Medicine.
Abstract
OBJECTIVE: This study was conducted to identify factors contributing to health satisfaction outcomes among emerging adults (ages 18-25) with diabetes. METHOD: SEARCH for Diabetes in Youth study participants whose diabetes was prevalent in 2001 and were ≥18 years of age when they completed a 2008-2009 follow-up survey (n = 340) were included. We developed a health resilience model (HRM) to identify potentially modifiable factors (anticipatory guidance, social support, physical activity, quality of life) associated with health outcomes (satisfaction with health care, overall personal health, self-report of hemoglobin A1c [HbA1c]). Proportional odds logistic regression models were used to examine relationships between modifiable factors and health outcomes while adjusting for predetermined characteristics; linear regression models were used for reported HbA1c. Comparison of participants who reported HbA1c versus nonreporters was conducted. RESULTS: A majority (70%) of participants rated satisfaction with health care ≥7 out of 10, and most (71%) rated overall health as good, very good, or excellent. Satisfaction with health care was independent of change in provider between the ages of 17 and 24. After controlling for predetermined characteristics, we found that the odds of increased satisfaction with health care and overall personal health were 1.3 and 1.2 greater, respectively, when participants discussed additional diabetes-related anticipatory guidance topics with a provider and 1.3 and 2.1, respectively, for each 10-unit change in quality of life score. Relationship between HbA1c level and modifiable factors was not significant; however, participants reporting HbA1c had higher ratings of health care and overall health versus nonreporters. CONCLUSIONS: HRM describes relationships between modifiable factors and patient-reported outcomes of satisfaction with health care and overall personal health among a cohort of ethnically and racially diverse emerging adults with longstanding diabetes, over half of whom experienced a change in provider. HRM may discern candidate areas for intervention, such as effective anticipatory guidance that can impact satisfaction with health care and overall health, to promote positive health outcomes. (PsycINFO Database Record (c) 2017 APA, all rights reserved).
OBJECTIVE: This study was conducted to identify factors contributing to health satisfaction outcomes among emerging adults (ages 18-25) with diabetes. METHOD: SEARCH for Diabetes in Youth study participants whose diabetes was prevalent in 2001 and were ≥18 years of age when they completed a 2008-2009 follow-up survey (n = 340) were included. We developed a health resilience model (HRM) to identify potentially modifiable factors (anticipatory guidance, social support, physical activity, quality of life) associated with health outcomes (satisfaction with health care, overall personal health, self-report of hemoglobin A1c [HbA1c]). Proportional odds logistic regression models were used to examine relationships between modifiable factors and health outcomes while adjusting for predetermined characteristics; linear regression models were used for reported HbA1c. Comparison of participants who reported HbA1c versus nonreporters was conducted. RESULTS: A majority (70%) of participants rated satisfaction with health care ≥7 out of 10, and most (71%) rated overall health as good, very good, or excellent. Satisfaction with health care was independent of change in provider between the ages of 17 and 24. After controlling for predetermined characteristics, we found that the odds of increased satisfaction with health care and overall personal health were 1.3 and 1.2 greater, respectively, when participants discussed additional diabetes-related anticipatory guidance topics with a provider and 1.3 and 2.1, respectively, for each 10-unit change in quality of life score. Relationship between HbA1c level and modifiable factors was not significant; however, participants reporting HbA1c had higher ratings of health care and overall health versus nonreporters. CONCLUSIONS: HRM describes relationships between modifiable factors and patient-reported outcomes of satisfaction with health care and overall personal health among a cohort of ethnically and racially diverse emerging adults with longstanding diabetes, over half of whom experienced a change in provider. HRM may discern candidate areas for intervention, such as effective anticipatory guidance that can impact satisfaction with health care and overall health, to promote positive health outcomes. (PsycINFO Database Record (c) 2017 APA, all rights reserved).
Authors: Debra S Lotstein; Michael Seid; Georgeanna Klingensmith; Doug Case; Jean M Lawrence; Catherine Pihoker; Dana Dabelea; Elizabeth J Mayer-Davis; Lisa K Gilliam; Sarah Corathers; Giuseppina Imperatore; Lawrence Dolan; Andrea Anderson; Ronny A Bell; Beth Waitzfelder Journal: Pediatrics Date: 2013-03-25 Impact factor: 7.124
Authors: Sarah D Corathers; Joyce P Yi-Frazier; Jessica C Kichler; Lisa K Gilliam; Gail Watts; Andrea Houchen; Sarah Beal Journal: Diabetes Spectr Date: 2020-02
Authors: Faisal S Malik; Jeanette M Stafford; Beth A Reboussin; Georgeanna J Klingensmith; Dana Dabelea; Jean M Lawrence; Elizabeth Mayer-Davis; Sharon Saydah; Sarah Corathers; Catherine Pihoker Journal: Pediatr Diabetes Date: 2019-12-16 Impact factor: 3.409