Literature DB >> 30456479

Advancing Health Policy and Program Research in Diabetes: Findings from the Natural Experiments for Translation in Diabetes (NEXT-D) Network.

Mohammed K Ali1,2, Frank Wharam3, O Kenrik Duru4, Julie Schmittdiel5, Ronald T Ackermann6, Jeanine Albu7, Dennis Ross-Degnan3, Christine M Hunter8, Carol Mangione9, Edward W Gregg10.   

Abstract

PURPOSE OF REVIEW: To advance our understanding of the impacts of policies and programs aimed at improving detection, engagement, prevention, and clinical diabetes management in the USA, we synthesized findings from a network of studies that used natural experiments to evaluate diabetes health policies and programs.
FINDINGS: Studies from the Natural EXperiments for Translation in Diabetes (NEXT-D) network used rigorous longitudinal quasi-experimental study designs (e.g., interrupted time series) and analytical methods (e.g., difference-in-differences) to augment causal inference. Investigators partnered with health system stakeholders to evaluate whether glucose testing rates changed from before-to-after clinic interventions (e.g., integrating electronic screening decision prompts in New York City) or employer programs (e.g., targeted messaging and waiving copayments for at-risk employees). Other studies examined participation and behavior change in low- (e.g., wellness coaching) or high-intensity lifestyle modification programs (e.g., diabetes prevention program-like interventions) offered by payers or employers. Lastly, studies assessed how employer health insurance benefits impacted healthcare utilization, adherence, and outcomes among people with diabetes. NEXT-D demonstrated that low-intensity interventions to facilitate glucose testing and enhance engagement in lifestyle modification were associated with small improvements in weight but large improvements in screening and testing when supported by electronic health record-based decision-support. Regarding high-intensity diabetes prevention program-like lifestyle programs offered by payers or employers, enrollment was modest and led to weight loss and marginally lower short-term health expenditures. Health plans that incentivize patient behaviors were associated with increases in medication adherence. Meanwhile, shifting patients to high-deductible health plans was associated with no change in medication use and preventive screenings, but patients with diabetes delayed accessing healthcare for acute complications (e.g., cellulitis). Findings were more pronounced among lower-income patients, who experienced increased rates and acuity of emergency department visits for diabetes complications and other high-severity conditions. Findings from NEXT-D studies provide informative data that can guide programs and policies to facilitate detection, prevention, and treatment of diabetes in practice.

Entities:  

Keywords:  Clinical management; Diabetes; Natural experiment; Policy; Prevention

Mesh:

Year:  2018        PMID: 30456479      PMCID: PMC6640642          DOI: 10.1007/s11892-018-1112-3

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


  60 in total

1.  Screening for Abnormal Blood Glucose and Type 2 Diabetes Mellitus: U.S. Preventive Services Task Force Recommendation Statement.

Authors:  Albert L Siu
Journal:  Ann Intern Med       Date:  2015-10-27       Impact factor: 25.391

2.  The Indian Diabetes Prevention Programme shows that lifestyle modification and metformin prevent type 2 diabetes in Asian Indian subjects with impaired glucose tolerance (IDPP-1).

Authors:  A Ramachandran; C Snehalatha; S Mary; B Mukesh; A D Bhaskar; V Vijay
Journal:  Diabetologia       Date:  2006-01-04       Impact factor: 10.122

3.  Standards of medical care in diabetes--2013.

Authors: 
Journal:  Diabetes Care       Date:  2013-01       Impact factor: 19.112

4.  Effects of diet and exercise in preventing NIDDM in people with impaired glucose tolerance. The Da Qing IGT and Diabetes Study.

Authors:  X R Pan; G W Li; Y H Hu; J X Wang; W Y Yang; Z X An; Z X Hu; J Lin; J Z Xiao; H B Cao; P A Liu; X G Jiang; Y Y Jiang; J P Wang; H Zheng; H Zhang; P H Bennett; B V Howard
Journal:  Diabetes Care       Date:  1997-04       Impact factor: 19.112

Review 5.  Make the healthy choice the easy choice: using behavioral economics to advance a culture of health.

Authors:  K G Volpp; D A Asch
Journal:  QJM       Date:  2017-05-01

6.  Efficacy and safety of LDL-lowering therapy among men and women: meta-analysis of individual data from 174,000 participants in 27 randomised trials.

Authors:  Jordan Fulcher; Rachel O'Connell; Merryn Voysey; Jonathan Emberson; Lisa Blackwell; Borislava Mihaylova; John Simes; Rory Collins; Adrienne Kirby; Helen Colhoun; Eugene Braunwald; John La Rosa; T R Pedersen; Andrew Tonkin; Barry Davis; Peter Sleight; Maria Grazia Franzosi; Colin Baigent; Anthony Keech
Journal:  Lancet       Date:  2015-01-09       Impact factor: 79.321

7.  Telephone-Based Coaching.

Authors:  Mindy Boccio; Rashel S Sanna; Sara R Adams; Nancy C Goler; Susan D Brown; Romain S Neugebauer; Assiamira Ferrara; Deanne M Wiley; David J Bellamy; Julie A Schmittdiel
Journal:  Am J Health Promot       Date:  2016-11-18

8.  Wellness Coaching for People With Prediabetes: A Randomized Encouragement Trial to Evaluate Outreach Methods at Kaiser Permanente, Northern California, 2013.

Authors:  Hong Xiao; Sara R Adams; Nancy Goler; Rashel S Sanna; Mindy Boccio; David J Bellamy; Susan D Brown; Romain S Neugebauer; Assiamira Ferrara; Julie A Schmittdiel
Journal:  Prev Chronic Dis       Date:  2015-11-25       Impact factor: 2.830

Review 9.  Cardiometabolic Risk Factor Changes Observed in Diabetes Prevention Programs in US Settings: A Systematic Review and Meta-analysis.

Authors:  Uma Mudaliar; Azadeh Zabetian; Michael Goodman; Justin B Echouffo-Tcheugui; Ann L Albright; Edward W Gregg; Mohammed K Ali
Journal:  PLoS Med       Date:  2016-07-26       Impact factor: 11.069

10.  False Dichotomies and Health Policy Research Designs: Randomized Trials Are Not Always the Answer.

Authors:  Stephen B Soumerai; Rachel Ceccarelli; Ross Koppel
Journal:  J Gen Intern Med       Date:  2016-10-18       Impact factor: 5.128

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  9 in total

Review 1.  Diabetes Complications in Racial and Ethnic Minority Populations in the USA.

Authors:  J Sonya Haw; Megha Shah; Sara Turbow; Michelle Egeolu; Guillermo Umpierrez
Journal:  Curr Diab Rep       Date:  2021-01-09       Impact factor: 4.810

Review 2.  What should governments be doing to prevent diabetes throughout the life course?

Authors:  Patrick Timpel; Lorenz Harst; Doreen Reifegerste; Susann Weihrauch-Blüher; Peter E H Schwarz
Journal:  Diabetologia       Date:  2019-08-27       Impact factor: 10.122

Review 3.  Prevention of Type 2 Diabetes.

Authors:  Mary Beth Weber; Saria Hassan; Rakale Quarells; Megha Shah
Journal:  Endocrinol Metab Clin North Am       Date:  2021-07-12       Impact factor: 4.748

4.  Evaluating the Implementation of Digital and In-Person Diabetes Prevention Program in a Large, Integrated Health System: Natural Experiment Study Design.

Authors:  Stephanie L Fitzpatrick; Meghan Mayhew; Chris L Catlin; Alison Firemark; Inga Gruß; Denis B Nyongesa; Maureen O'Keeffe-Rosetti; Andreea M Rawlings; David H Smith; Ning Smith; Victor J Stevens; William M Vollmer; Stephen P Fortmann
Journal:  Perm J       Date:  2021-12-13

5.  "Not Alone Anymore": The Experiences of Adults With Diabetes in New York's Medicaid Health Home Program.

Authors:  Victoria L Mayer; David Siscovick; Crispin Goytia; Daphne Brown; Emily Hanlen; James Flory; M Diane McKee; Carol R Horowitz
Journal:  Med Care       Date:  2020-06       Impact factor: 2.983

6.  Reach and Use of Diabetes Prevention Services in the United States, 2016-2017.

Authors:  Mohammed K Ali; Kai McKeever Bullard; Giuseppina Imperatore; Stephen R Benoit; Deborah B Rolka; Ann L Albright; Edward W Gregg
Journal:  JAMA Netw Open       Date:  2019-05-03

7.  Factors influencing participation dynamics in research for development interventions with multi-stakeholder platforms: A metric approach to studying stakeholder participation.

Authors:  Murat Sartas; Piet van Asten; Marc Schut; Mariette McCampbell; Moureen Awori; Perez Muchunguzi; Moses Tenywa; Sylvia Namazzi; Ana Sole Amat; Graham Thiele; Claudio Proietti; Andre Devaux; Cees Leeuwis
Journal:  PLoS One       Date:  2019-11-14       Impact factor: 3.240

8.  Trends in Costs of Care and Utilization for Medicaid Patients With Diabetes in Accountable Care Communities.

Authors:  Tannaz Moin; Jessica M Harwood; Carol M Mangione; Nicholas Jackson; Sam Ho; Susan L Ettner; O Kenrik Duru
Journal:  Med Care       Date:  2020-06       Impact factor: 3.178

9.  Costing a population health management approach for participant recruitment to a diabetes prevention study.

Authors:  Tzeyu L Michaud; Kathryn Wilson; Fabiana Silva; Fabio Almeida; Jeff Katula; Paul Estabrooks
Journal:  Transl Behav Med       Date:  2021-10-23       Impact factor: 3.046

  9 in total

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