Literature DB >> 24494593

Impact of baseline patient characteristics on interventions to reduce diabetes distress: the role of personal conscientiousness and diabetes self-efficacy.

L Fisher1, D Hessler, U Masharani, L Strycker.   

Abstract

AIMS: To improve patient-centred care by determining the impact of baseline levels of conscientiousness and diabetes self-efficacy on the outcomes of efficacious interventions to reduce diabetes distress and improve disease management.
METHODS: Adults with Type 2 diabetes with diabetes distress and self-care problems (N = 392) were randomized to one of three distress reduction interventions: computer-assisted self-management; computer-assisted self-management plus problem-solving therapy; and health education. The baseline assessment included conscientiousness and self-efficacy, demographics, diabetes status, regimen distress, emotional burden, medication adherence, diet and physical activity. Changes in regimen distress, emotional burden and self-care between baseline and 12 months were recorded and ancova models assessed how conscientiousness and self-efficacy qualified the significant improvements in distress and management outcomes.
RESULTS: Participants with high baseline conscientiousness displayed significantly larger improvements in medication adherence and emotional burden than participants with low baseline conscientiousness. Participants with high baseline self-efficacy showed greater improvements in diet, physical activity and regimen distress than participants with low baseline self-efficacy. The impact of conscientiousness and self-efficacy were independent of each other and occurred across all three intervention groups. A significant interaction indicated that those with both high self-efficacy and high conscientiousness at baseline had the biggest improvement in physical activity by 12 months.
CONCLUSIONS: Both broad personal traits and disease-specific expectations qualify the outcomes of efficacious interventions. These findings reinforce the need to change from a one-size-fits-all approach to diabetes interventions to an approach that crafts clinical interventions in ways that fit the personal traits and skills of individual people.
© 2014 The Authors. Diabetic Medicine © 2014 Diabetes UK.

Entities:  

Mesh:

Year:  2014        PMID: 24494593      PMCID: PMC4028368          DOI: 10.1111/dme.12403

Source DB:  PubMed          Journal:  Diabet Med        ISSN: 0742-3071            Impact factor:   4.359


  22 in total

1.  The PHQ-9: validity of a brief depression severity measure.

Authors:  K Kroenke; R L Spitzer; J B Williams
Journal:  J Gen Intern Med       Date:  2001-09       Impact factor: 5.128

2.  Assessing psychosocial distress in diabetes: development of the diabetes distress scale.

Authors:  William H Polonsky; Lawrence Fisher; Jay Earles; R James Dudl; Joel Lees; Joseph Mullan; Richard A Jackson
Journal:  Diabetes Care       Date:  2005-03       Impact factor: 19.112

3.  Diabetes distress, but not depressive symptoms, is associated with glycaemic control among Japanese patients with type 2 diabetes: Diabetes Distress and Care Registry at Tenri (DDCRT 1).

Authors:  S Tsujii; Y Hayashino; H Ishii
Journal:  Diabet Med       Date:  2012-11       Impact factor: 4.359

4.  Outcomes of minimal and moderate support versions of an internet-based diabetes self-management support program.

Authors:  Russell E Glasgow; Deanna Kurz; Diane King; Jennifer M Dickman; Andrew J Faber; Eve Halterman; Tim Wooley; Deborah J Toobert; Lisa A Strycker; Paul A Estabrooks; Diego Osuna; Debra Ritzwoller
Journal:  J Gen Intern Med       Date:  2010-08-17       Impact factor: 5.128

Review 5.  The case for conscientiousness: evidence and implications for a personality trait marker of health and longevity.

Authors:  Tim Bogg; Brent W Roberts
Journal:  Ann Behav Med       Date:  2013-06

Review 6.  Health systems, patients factors, and quality of care for diabetes: a synthesis of findings from the TRIAD study.

Authors: 
Journal:  Diabetes Care       Date:  2010-04       Impact factor: 17.152

7.  Development of a brief diabetes distress screening instrument.

Authors:  Lawrence Fisher; Russell E Glasgow; Joseph T Mullan; Marilyn M Skaff; William H Polonsky
Journal:  Ann Fam Med       Date:  2008 May-Jun       Impact factor: 5.166

8.  When is diabetes distress clinically meaningful?: establishing cut points for the Diabetes Distress Scale.

Authors:  Lawrence Fisher; Danielle M Hessler; William H Polonsky; Joseph Mullan
Journal:  Diabetes Care       Date:  2012-01-06       Impact factor: 19.112

9.  Assessing the Relationship between the Baseline Value of a Continuous Variable and Subsequent Change Over Time.

Authors:  Arnaud Chiolero; Gilles Paradis; Benjamin Rich; James A Hanley
Journal:  Front Public Health       Date:  2013-08-23

10.  REDEEM: a pragmatic trial to reduce diabetes distress.

Authors:  Lawrence Fisher; Danielle Hessler; Russell E Glasgow; Patricia A Arean; Umesh Masharani; Diana Naranjo; Lisa A Strycker
Journal:  Diabetes Care       Date:  2013-06-04       Impact factor: 19.112

View more
  13 in total

Review 1.  Psychological interventions for diabetes-related distress in adults with type 2 diabetes mellitus.

Authors:  Boon How Chew; Rimke C Vos; Maria-Inti Metzendorf; Rob Jpm Scholten; Guy Ehm Rutten
Journal:  Cochrane Database Syst Rev       Date:  2017-09-27

2.  Evaluating Digital Health Interventions: Key Questions and Approaches.

Authors:  Elizabeth Murray; Eric B Hekler; Gerhard Andersson; Linda M Collins; Aiden Doherty; Chris Hollis; Daniel E Rivera; Robert West; Jeremy C Wyatt
Journal:  Am J Prev Med       Date:  2016-11       Impact factor: 5.043

Review 3.  When does personalized feedback make a difference? A narrative review of recent findings and their implications for promoting better diabetes self-care.

Authors:  William H Polonsky; Lawrence Fisher
Journal:  Curr Diab Rep       Date:  2015-08       Impact factor: 4.810

4.  Toward effective interventions to reduce diabetes distress among adults with type 1 diabetes: Enhancing Emotion regulation and cognitive skills.

Authors:  Lawrence Fisher; Danielle Hessler; William Polonsky; Lisa Strycker; Vicky Bowyer; Umesh Masharani
Journal:  Patient Educ Couns       Date:  2019-03-27

Review 5.  Stress and A1c Among People with Diabetes Across the Lifespan.

Authors:  Marisa E Hilliard; Joyce P Yi-Frazier; Danielle Hessler; Ashley M Butler; Barbara J Anderson; Sarah Jaser
Journal:  Curr Diab Rep       Date:  2016-08       Impact factor: 4.810

6.  Sociodemographic and Clinical Predictors of Self-Management among People with Poorly Controlled Type 1 and Type 2 Diabetes: The Role of Illness Perceptions and Self-Efficacy.

Authors:  Abdul-Razak Abubakari; Rosanna Cousins; Cecil Thomas; Dushyant Sharma; Ebrahim K Naderali
Journal:  J Diabetes Res       Date:  2015-12-01       Impact factor: 4.011

7.  The influence of diabetes distress on digital interventions for diabetes management in vulnerable people with type 2 diabetes: A qualitative study of patient perspectives.

Authors:  Anne Sophie Mathiesen; Thordis Thomsen; Tonny Jensen; Charlotte Schiøtz; Henning Langberg; Ingrid Egerod
Journal:  J Clin Transl Endocrinol       Date:  2017-07-11

8.  The ACHRU-CPP versus usual care for older adults with type-2 diabetes and multiple chronic conditions and their family caregivers: study protocol for a randomized controlled trial.

Authors:  Maureen Markle-Reid; Jenny Ploeg; Kimberly D Fraser; Kathryn Ann Fisher; Noori Akhtar-Danesh; Amy Bartholomew; Amiram Gafni; Andrea Gruneir; Sandra P Hirst; Sharon Kaasalainen; Caralyn Kelly Stradiotto; John Miklavcic; Carlos Rojas-Fernandez; Cheryl A Sadowski; Lehana Thabane; Jean A C Triscott; Ross Upshur
Journal:  Trials       Date:  2017-02-06       Impact factor: 2.279

9.  Comparison of self-care in non-cardiac diabetic patients.

Authors:  Fatemeh Asghari; Monir Nobahar
Journal:  Diabetes Metab Syndr Obes       Date:  2019-09-02       Impact factor: 3.168

10.  Effect of a patient decision aid (PDA) for type 2 diabetes on knowledge, decisional self-efficacy, and decisional conflict.

Authors:  Robert A Bailey; Michael Pfeifer; Alicia C Shillington; Qing Harshaw; Martha M Funnell; Jeffrey VanWingen; Nanada Col
Journal:  BMC Health Serv Res       Date:  2016-01-14       Impact factor: 2.655

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.