Literature DB >> 26077015

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

William H Polonsky1, Lawrence Fisher.   

Abstract

Providing behavioral, biomarker, or disease risk feedback to patients is a key component of most behavioral interventions in diabetes, but it remains unclear what is necessary for such feedback to be truly engaging and effective. We sought to identify how personalized health-related feedback is most effectively designed and delivered, and how feedback may be tailored to meet the needs of individual patients with diabetes. To do so, we systematically reviewed recent findings concerning the effectiveness of feedback in eight health-related areas, including several specific to diabetes care (blood glucose monitoring and HbA1c) and others which touch on broader care dimensions (blood pressure, cholesterol, dietary intake, pedometer usage, self-weighing, and medical imaging). Five interdependent characteristics of health-related feedback were identified (clarity of the feedback message, personal meaningfulness of the feedback, frequency of feedback, guidance and support accompanying feedback, and interplay between feedback and patient characteristics) and applications for use in diabetes care were provided. Findings suggested that feedback will be most effective when it is easy for patients to understand and is personally meaningful, frequency of feedback is appropriate to the characteristics of the behavior/biomarker, guidance for using feedback is provided, and feedback is qualified by patient characteristics. We suggest that the effectiveness of feedback to promote better diabetes outcomes requires careful consideration of the feedback message, how it is delivered, and characteristics of the recipients.

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Year:  2015        PMID: 26077015     DOI: 10.1007/s11892-015-0620-7

Source DB:  PubMed          Journal:  Curr Diab Rep        ISSN: 1534-4827            Impact factor:   4.810


  62 in total

1.  Benefits of self-monitoring blood glucose in the management of new-onset Type 2 diabetes mellitus: the St Carlos Study, a prospective randomized clinic-based interventional study with parallel groups.

Authors:  Alejandra Durán; Patricia Martín; Isabelle Runkle; Natalia Pérez; Rosario Abad; Mercedes Fernández; Laura Del Valle; Maria Fuencisla Sanz; Alfonso Luis Calle-Pascual
Journal:  J Diabetes       Date:  2010-09       Impact factor: 4.006

Review 2.  The effect of giving global coronary risk information to adults: a systematic review.

Authors:  Stacey L Sheridan; Anthony J Viera; Mori J Krantz; Christa L Ice; Lesley E Steinman; Karen E Peters; Laurie A Kopin; Danielle Lungelow
Journal:  Arch Intern Med       Date:  2010-02-08

3.  Is the frequency of self-monitoring of blood glucose related to long-term metabolic control? Multicenter analysis including 24,500 patients from 191 centers in Germany and Austria.

Authors:  M Schütt; W Kern; U Krause; P Busch; A Dapp; R Grziwotz; I Mayer; J Rosenbauer; C Wagner; A Zimmermann; W Kerner; R W Holl
Journal:  Exp Clin Endocrinol Diabetes       Date:  2006-07       Impact factor: 2.949

4.  Control theory: a useful conceptual framework for personality-social, clinical, and health psychology.

Authors:  C S Carver; M F Scheier
Journal:  Psychol Bull       Date:  1982-07       Impact factor: 17.737

5.  Impact of computer-generated personalized goals on cholesterol lowering.

Authors:  Claresa S Levetan; Karen R Dawn; James F Murray; Jeffrey J Popma; Robert E Ratner; David C Robbins
Journal:  Value Health       Date:  2005 Nov-Dec       Impact factor: 5.725

6.  Adherence and weight loss outcomes associated with food-exercise diary preference in a military weight management program.

Authors:  Laura E Shay; Diane Seibert; Dorraine Watts; Tracy Sbrocco; Claire Pagliara
Journal:  Eat Behav       Date:  2009-07-16

7.  Feedback of personal retinal images appears to have a motivational impact in people with non-proliferative diabetic retinopathy and suboptimal HbA1c: findings of a pilot study.

Authors:  G Rees; E L Lamoureux; T E Nicolaou; L A B Hodgson; J Weinman; J Speight
Journal:  Diabet Med       Date:  2013-04-19       Impact factor: 4.359

8.  A meta-analysis of pedometer-based walking interventions and weight loss.

Authors:  Caroline R Richardson; Tiffany L Newton; Jobby J Abraham; Ananda Sen; Masahito Jimbo; Ann M Swartz
Journal:  Ann Fam Med       Date:  2008 Jan-Feb       Impact factor: 5.166

9.  Does physical activity counselling enhance the effects of a pedometer-based intervention over the long-term: 12-month findings from the Walking for Wellbeing in the west study.

Authors:  Claire F Fitzsimons; Graham Baker; Stuart R Gray; Myra A Nimmo; Nanette Mutrie
Journal:  BMC Public Health       Date:  2012-03-19       Impact factor: 3.295

10.  New technologies to advance self-management support in diabetes: not just a bunch of cool apps!

Authors:  Lawrence Fisher; W Perry Dickinson
Journal:  Diabetes Care       Date:  2011-01       Impact factor: 19.112

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  15 in total

1.  Mobile Momentary Assessment and Biobehavioral Feedback for Adolescents with Type 1 Diabetes: Feasibility and Engagement Patterns.

Authors:  Shelagh A Mulvaney; Sarah Vaala; Korey K Hood; Cindy Lybarger; Rachel Carroll; Laura Williams; Douglas C Schmidt; Kevin Johnson; Mary S Dietrich; Lori Laffel
Journal:  Diabetes Technol Ther       Date:  2018-06-08       Impact factor: 6.118

2.  A Comprehensive Evaluation of a Novel Color Range Indicator in Multiple Blood Glucose Meters Demonstrates Improved Glucose Range Interpretation and Awareness in Subjects With Type 1 and Type 2 Diabetes.

Authors:  Mike Grady; Laurence B Katz; Hilary Cameron; Brian L Levy
Journal:  J Diabetes Sci Technol       Date:  2016-11-01

3.  A Telehealth Diabetes Intervention for Rural Populations: Protocol for a Randomized Controlled Trial.

Authors:  Michelle L Litchman; Bethany M Kwan; Linda Zittleman; Juliana Simonetti; Eli Iacob; Kristen Curcija; Julie Neuberger; Gwen Latendress; Tamara K Oser
Journal:  JMIR Res Protoc       Date:  2022-06-14

4.  A telemonitoring system to support CPAP therapy in patients with obstructive sleep apnea: a participatory approach in analysis, design, and evaluation.

Authors:  Shokoufeh Aalaei; Mahnaz Amini; Mohammad Reza Mazaheri Habibi; Hadi Shahraki; Saeid Eslami
Journal:  BMC Med Inform Decis Mak       Date:  2022-06-26       Impact factor: 3.298

5.  Effective strategies for encouraging behavior change in people with diabetes.

Authors:  Korey K Hood; Marisa Hilliard; Gretchen Piatt; Carolyn E Ievers-Landis
Journal:  Diabetes Manag (Lond)       Date:  2015

6.  Living with type 1 diabetes as experienced by young adults.

Authors:  Åsa Carlsund; Siv Söderberg
Journal:  Nurs Open       Date:  2018-12-18

7.  Effect of ecological momentary assessment, goal-setting and personalized phone-calls on adherence to interval walking training using the InterWalk application among patients with type 2 diabetes-A pilot randomized controlled trial.

Authors:  Laura Staun Valentiner; Ida Kær Thorsen; Malte Bue Kongstad; Cecilie Fau Brinkløv; Rasmus Tolstrup Larsen; Kristian Karstoft; Jens Steen Nielsen; Bente Klarlund Pedersen; Henning Langberg; Mathias Ried-Larsen
Journal:  PLoS One       Date:  2019-01-10       Impact factor: 3.240

8.  Game Plan-a Brief Web-Based Intervention to Improve Uptake and Use of HIV Pre-exposure Prophylaxis (PrEP) and Reduce Alcohol Use Among Gay and Bisexual Men: Content Analysis.

Authors:  Philip A Chan; Tyler B Wray; John P Guigayoma; Christopher W Kahler
Journal:  JMIR Form Res       Date:  2022-01-05

Review 9.  What interventions are used to improve exercise adherence in older people and what behavioural techniques are they based on? A systematic review.

Authors:  Jonathan Room; Erin Hannink; Helen Dawes; Karen Barker
Journal:  BMJ Open       Date:  2017-12-14       Impact factor: 2.692

10.  Testing patient-informed approaches for visually depicting the hemoglobin A1c value to patients with poorly controlled diabetes: a randomized, controlled trial.

Authors:  Anjali Gopalan; Leah Suttner; Andrea B Troxel; Kevin McDonough; Marilyn M Schapira
Journal:  BMC Health Serv Res       Date:  2020-03-06       Impact factor: 2.655

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