Literature DB >> 32132009

Impact of a Telephonic Intervention to Improve Diabetes Control on Health Care Utilization and Cost for Adults in South Bronx, New York.

Bahman P Tabaei1, Renata E Howland2, Jeffrey S Gonzalez3,4,5, Shadi Chamany2, Elizabeth A Walker3,4, Clyde B Schechter3,4, Winfred Y Wu2.   

Abstract

OBJECTIVE: Self-management education and support are essential for improved diabetes control. A 1-year randomized telephonic diabetes self-management intervention (Bronx A1C) among a predominantly Latino and African American population in New York City was found effective in improving blood glucose control. To further those findings, this current study assessed the intervention's impact in reducing health care utilization and costs over 4 years. RESEARCH DESIGN AND METHODS: We measured inpatient (n = 816) health care utilization for Bronx A1C participants using an administrative data set containing all hospital discharges for New York State from 2006 to 2014. Multilevel mixed modeling was used to assess changes in health care utilization and costs between the telephonic diabetes intervention (Tele/Pr) arm and print-only (PrO) control arm.
RESULTS: During follow-up, excess relative reductions in all-cause hospitalizations for the Tele/Pr arm compared with PrO arm were statistically significant for odds of hospital use (odds ratio [OR] 0.89; 95% CI 0.82, 0.97; P < 0.01), number of hospital stays (rate ratio [RR] 0.90; 95% CI 0.81, 0.99; P = 0.04), and hospital costs (RR 0.90; 95% CI 0.84, 0.98; P = 0.01). Reductions in hospital use and costs were even stronger for diabetes-related hospitalizations. These outcomes were not significantly related to changes observed in hemoglobin A1c during individuals' participation in the 1-year intervention.
CONCLUSIONS: These results indicate that the impact of the Bronx A1C intervention was not just on short-term improvements in glycemic control but also on long-term health care utilization. This finding is important because it suggests the benefits of the intervention were long-lasting with the potential to not only reduce hospitalizations but also to lower hospital-associated costs.
© 2020 by the American Diabetes Association.

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Year:  2020        PMID: 32132009      PMCID: PMC7085809          DOI: 10.2337/dc19-0954

Source DB:  PubMed          Journal:  Diabetes Care        ISSN: 0149-5992            Impact factor:   19.112


  27 in total

1.  Effect of a nurse-directed diabetes disease management program on urgent care/emergency room visits and hospitalizations in a minority population.

Authors:  Mayer B Davidson; Adeela Ansari; Vicki J Karlan
Journal:  Diabetes Care       Date:  2007-02       Impact factor: 19.112

2.  Common problems related to the use of number needed to treat.

Authors:  Andreas Stang; Charles Poole; Ralf Bender
Journal:  J Clin Epidemiol       Date:  2009-10-31       Impact factor: 6.437

3.  Baseline characteristics and Latino versus non-Latino contrasts among Bronx A1C study participants.

Authors:  Elizabeth A Walker; Lynn D Silver; Shadi Chamany; Clyde B Schechter; Jeffrey S Gonzalez; Jeidy Carrasco; Danielle Powell; Diana Berger; Charles E Basch
Journal:  West J Nurs Res       Date:  2014-01-09       Impact factor: 1.967

4.  Costs and effects of a telephonic diabetes self-management support intervention using health educators.

Authors:  Clyde B Schechter; Elizabeth A Walker; Felix M Ortega; Shadi Chamany; Lynn D Silver
Journal:  J Diabetes Complications       Date:  2015-11-24       Impact factor: 2.852

5.  Evaluation of a behavior support intervention for patients with poorly controlled diabetes.

Authors:  Dominick L Frosch; Visith Uy; Socorro Ochoa; Carol M Mangione
Journal:  Arch Intern Med       Date:  2011-10-10

6.  The role of community health workers in diabetes: update on current literature.

Authors:  Megha Shah; Elizabeth Kaselitz; Michele Heisler
Journal:  Curr Diab Rep       Date:  2013-04       Impact factor: 4.810

7.  Tracking diabetes: New York City's A1C Registry.

Authors:  Shadi Chamany; Lynn D Silver; Mary T Bassett; Cynthia R Driver; Diana K Berger; Charlotte E Neuhaus; Namrata Kumar; Thomas R Frieden
Journal:  Milbank Q       Date:  2009-09       Impact factor: 4.911

8.  Mobile phone diabetes project led to improved glycemic control and net savings for Chicago plan participants.

Authors:  Shantanu Nundy; Jonathan J Dick; Chia-Hung Chou; Robert S Nocon; Marshall H Chin; Monica E Peek
Journal:  Health Aff (Millwood)       Date:  2014-02       Impact factor: 6.301

9.  Meta-analysis of quality of life outcomes following diabetes self-management training.

Authors:  Jane Cochran; Vicki S Conn
Journal:  Diabetes Educ       Date:  2008 Sep-Oct       Impact factor: 2.140

Review 10.  Review of statistical methods for analysing healthcare resources and costs.

Authors:  Borislava Mihaylova; Andrew Briggs; Anthony O'Hagan; Simon G Thompson
Journal:  Health Econ       Date:  2010-08-27       Impact factor: 3.046

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  2 in total

1.  Use of a Meter With Color-Range Indicators and a Mobile Diabetes Management App Improved Glycemic Control and Patient Satisfaction in an Underserved Hispanic Population: "Tu Salud"-A Randomized Controlled Partial Cross-Over Clinical Study.

Authors:  Laurence B Katz; Maria Aparicio; Hilary Cameron; Frederico Ceppa
Journal:  Diabetes Spectr       Date:  2022-02-08

2.  Diabetes during the COVID-19 pandemic: A global call to reconnect with patients and emphasize lifestyle changes and optimize glycemic and blood pressure control.

Authors:  Anoop Misra; Zachary Bloomgarden
Journal:  J Diabetes       Date:  2020-07       Impact factor: 4.530

  2 in total

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