Literature DB >> 20190064

Medicare payments, healthcare service use, and telemedicine implementation costs in a randomized trial comparing telemedicine case management with usual care in medically underserved participants with diabetes mellitus (IDEATel).

Walter Palmas1, Steven Shea, Justin Starren, Jeanne A Teresi, Michael L Ganz, Tanya M Burton, Chris L Pashos, Jan Blustein, Lesley Field, Philip C Morin, Roberto E Izquierdo, Stephanie Silver, Joseph P Eimicke, Rafael A Lantigua, Ruth S Weinstock.   

Abstract

Objective To determine whether a diabetes case management telemedicine intervention reduced healthcare expenditures, as measured by Medicare claims, and to assess the costs of developing and implementing the telemedicine intervention. Design We studied 1665 participants in the Informatics for Diabetes Education and Telemedicine (IDEATel), a randomized controlled trial comparing telemedicine case management of diabetes to usual care. Participants were aged 55 years or older, and resided in federally designated medically underserved areas of New York State. Measurements We analyzed Medicare claims payments for each participant for up to 60 study months from date of randomization, until their death, or until December 31, 2006 (whichever happened first). We also analyzed study expenditures for the telemedicine intervention over six budget years (February 28, 2000- February 27, 2006). Results Mean annual Medicare payments (SE) were similar in the usual care and telemedicine groups, $9040 ($386) and $9669 ($443) per participant, respectively (p>0.05). Sensitivity analyses, including stratification by censored status, adjustment by enrollment site, and semi-parametric weighting by probability of dropping-out, rendered similar results. Over six budget years 28 821 participant/months of telemedicine intervention were delivered, at an estimated cost of $622 per participant/month. Conclusion Telemedicine case management was not associated with a reduction in Medicare claims in this medically underserved population. The cost of implementing the telemedicine intervention was high, largely representing special purpose hardware and software costs required at the time. Lower implementation costs will need to be achieved using lower cost technology in order for telemedicine case management to be more widely used.

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Year:  2010        PMID: 20190064      PMCID: PMC3000788          DOI: 10.1136/jamia.2009.002592

Source DB:  PubMed          Journal:  J Am Med Inform Assoc        ISSN: 1067-5027            Impact factor:   4.497


  31 in total

1.  Psychosocial outcomes of telemedicine case management for elderly patients with diabetes: the randomized IDEATel trial.

Authors:  Paula M Trief; Jeanne A Teresi; Roberto Izquierdo; Philip C Morin; Robin Goland; Leslie Field; Joseph P Eimicke; Rebecca Brittain; Justin Starren; Steven Shea; Ruth S Weinstock
Journal:  Diabetes Care       Date:  2007-02-26       Impact factor: 19.112

Review 2.  The use of surrogate outcomes in model-based cost-effectiveness analyses: a survey of UK Health Technology Assessment reports.

Authors:  R S Taylor; J Elston
Journal:  Health Technol Assess       Date:  2009-01       Impact factor: 4.014

3.  REPETE2: A next generation home telemedicine architecture.

Authors:  Albert M Lai; Jason Nieh; Justin B Starren
Journal:  AMIA Annu Symp Proc       Date:  2007-10-11

4.  Columbia University's Informatics for Diabetes Education and Telemedicine (IDEATel) Project: rationale and design.

Authors:  Steven Shea; Justin Starren; Ruth S Weinstock; Paul E Knudson; Jeanne Teresi; Douglas Holmes; Walter Palmas; Lesley Field; Robin Goland; Catherine Tuck; George Hripcsak; Linnea Capps; David Liss
Journal:  J Am Med Inform Assoc       Date:  2002 Jan-Feb       Impact factor: 4.497

5.  The state of diabetes care provided to Medicare beneficiaries living in rural America.

Authors:  Joseph P Weingarten; Susan Brittman; Wenrong Hu; Chris Przybyszewski; Judith M Hammond; Dawn FitzGerald
Journal:  J Rural Health       Date:  2006       Impact factor: 4.333

Review 6.  The socio-economic impact of telehealth: a systematic review.

Authors:  P A Jennett; L Affleck Hall; D Hailey; A Ohinmaa; C Anderson; R Thomas; B Young; D Lorenzetti; R E Scott
Journal:  J Telemed Telecare       Date:  2003       Impact factor: 6.184

7.  A randomized trial comparing telemedicine case management with usual care in older, ethnically diverse, medically underserved patients with diabetes mellitus: 5 year results of the IDEATel study.

Authors:  Steven Shea; Ruth S Weinstock; Jeanne A Teresi; Walter Palmas; Justin Starren; James J Cimino; Albert M Lai; Lesley Field; Philip C Morin; Robin Goland; Roberto E Izquierdo; Susana Ebner; Stephanie Silver; Eva Petkova; Jian Kong; Joseph P Eimicke
Journal:  J Am Med Inform Assoc       Date:  2009-04-23       Impact factor: 4.497

Review 8.  Economic costs of diabetes in the U.S. In 2007.

Authors: 
Journal:  Diabetes Care       Date:  2008-03       Impact factor: 19.112

9.  Costs to Medicare of the Informatics for Diabetes Education and Telemedicine (IDEATel) home telemedicine demonstration: findings from an independent evaluation.

Authors:  Lorenzo Moreno; Stacy B Dale; Arnold Y Chen; Carol A Magee
Journal:  Diabetes Care       Date:  2009-04-14       Impact factor: 17.152

10.  Detection and remediation of medically urgent situations using telemedicine case management for older patients with diabetes mellitus.

Authors:  Roberto Izquierdo; Suzanne Meyer; Justin Starren; Robin Goland; Jeanne Teresi; Steven Shea; Ruth S Weinstock
Journal:  Ther Clin Risk Manag       Date:  2007-06       Impact factor: 2.423

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  16 in total

1.  Automated Telephone Self-Management Support for Diabetes in a Low-Income Health Plan: A Health Care Utilization and Cost Analysis.

Authors:  Judy Quan; Alexandra K Lee; Margaret A Handley; Neda Ratanawongsa; Urmimala Sarkar; Samuel Tseng; Dean Schillinger
Journal:  Popul Health Manag       Date:  2015-06-23       Impact factor: 2.459

Review 2.  Economics of Self-Measured Blood Pressure Monitoring: A Community Guide Systematic Review.

Authors:  Verughese Jacob; Sajal K Chattopadhyay; Krista K Proia; David P Hopkins; Jeffrey Reynolds; Anilkrishna B Thota; Christopher D Jones; Daniel T Lackland; Kimberly J Rask; Nicolaas P Pronk; John M Clymer; Ron Z Goetzel
Journal:  Am J Prev Med       Date:  2017-08-14       Impact factor: 5.043

Review 3.  The empirical evidence for the telemedicine intervention in diabetes management.

Authors:  Rashid L Bashshur; Gary W Shannon; Brian R Smith; Maria A Woodward
Journal:  Telemed J E Health       Date:  2015-03-25       Impact factor: 3.536

4.  Telemedicine for Disparity Patients With Diabetes: The Feasibility of Utilizing Telehealth in the Management of Uncontrolled Type 2 Diabetes in Black and Hispanic Disparity Patients; A Pilot Study.

Authors:  Alyson Myers; Lubaina Presswala; Aditya Bissoonauth; Neha Gulati; Meng Zhang; Stephanie Izard; Andrzej Kozikowski; Kerry Meyers; Renee Pekmezaris
Journal:  J Diabetes Sci Technol       Date:  2020-08-29

Review 5.  Systematic Review of Self-Measured Blood Pressure Monitoring With Support: Intervention Effectiveness and Cost.

Authors:  Sharada S Shantharam; Mallika Mahalingam; Aysha Rasool; Jeffrey A Reynolds; Aunima R Bhuiya; Tyra D Satchell; John M Chapel; Nikki A Hawkins; Christopher D Jones; Verughese Jacob; David P Hopkins
Journal:  Am J Prev Med       Date:  2021-10-20       Impact factor: 5.043

6.  Telemedicine diabetes consultations are cost-effective, and effects on essential diabetes treatment parameters are similar to conventional treatment: 7-year results from the Svendborg Telemedicine Diabetes Project.

Authors:  Klaus Levin; Jette R Madsen; Inge Petersen; Christina E Wanscher; Joergen Hangaard
Journal:  J Diabetes Sci Technol       Date:  2013-05-01

7.  Glycemic control and health disparities in older ethnically diverse underserved adults with diabetes: five-year results from the Informatics for Diabetes Education and Telemedicine (IDEATel) study.

Authors:  Ruth S Weinstock; Jeanne A Teresi; Robin Goland; Roberto Izquierdo; Walter Palmas; Joseph P Eimicke; Susana Ebner; Steven Shea
Journal:  Diabetes Care       Date:  2011-02       Impact factor: 19.112

8.  Understanding the discriminant factors that influence the adoption and use of clinical communities of practice: the ECOPIH case.

Authors:  David Lacasta Tintorer; Souhel Flayeh Beneyto; Josep Maria Manresa; Pere Torán-Monserrat; Ana Jiménez-Zarco; Joan Torrent-Sellens; Francesc Saigí-Rubió
Journal:  BMC Health Serv Res       Date:  2015-09-10       Impact factor: 2.655

9.  Design and customization of telemedicine systems.

Authors:  Claudia I Martínez-Alcalá; Mirna Muñoz; Josep Monguet-Fierro
Journal:  Comput Math Methods Med       Date:  2013-05-15       Impact factor: 2.238

Review 10.  Interactive telemedicine: effects on professional practice and health care outcomes.

Authors:  Gerd Flodgren; Antoine Rachas; Andrew J Farmer; Marco Inzitari; Sasha Shepperd
Journal:  Cochrane Database Syst Rev       Date:  2015-09-07
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