Literature DB >> 26375589

Cost and Utility Analysis of a Store-and-Forward Teledermatology Referral System: A Randomized Clinical Trial.

Santanu K Datta1, Erin M Warshaw2, Karen E Edison3, Kush Kapur4, Lizy Thottapurathu5, Thomas E Moritz5, Domenic J Reda5, John D Whited1.   

Abstract

IMPORTANCE: The costs and utility of teledermatology are important features of implementation. Such an analysis requires a description of the perspective of the entity that will bear the cost.
OBJECTIVE: To assess the costs and utility of a store-and-forward teledermatology referral process compared with a conventional referral process from the perspectives of the Department of Veterans Affairs (VA) and society. DESIGN, SETTING, AND PARTICIPANTS: Three hundred ninety-one randomized participants were referred from remote sites of primary care to the dermatology services of 2 VA medical facilities for ambulatory skin conditions from December 2008 through June 2010, and follow-up was completed in March 2011. The time trade-off utility measures and costs were collected during a 9-month period among participants in a 2-site parallel group randomized clinical trial. The perspectives of the VA and society were evaluated. The multiple imputation procedure or weighted means were used for missing data elements. Data were analyzed from January to July 2014.
INTERVENTIONS: Referrals were managed using store-and-forward teledermatology or a conventional text-based referral process. MAIN OUTCOMES AND MEASURES: Total costs from the perspectives of the VA and society incurred during the 9-month follow-up were used to derive per-participant costs. Utility, using the time trade-off method, was the measure of effectiveness.
RESULTS: From the VA perspective, the total cost for conventional referrals was $66 145 (minimum, $58 697; maximum, $71 635), or $338 (SD, $291) per participant (196 participants); the total cost for teledermatology referrals was $59 917 (mimimum, $51 794; maximum, $70 398), or $308 (SD, $298) per participant (195 participants). The $30 difference in per-participant cost was not statistically significant (95% CI, -$79 to $20). From the societal perspective, the total cost for conventional referrals was $106 194 (minimum, $98 746; maximum, $111 684), or $542 (SD, $403) per participant (196 participants); the total cost for teledermatology referrals was $89 523 (minimum, $81 400; maximum, $100 400) or $460 (SD, $428) per participant. This $82 difference in per-participant cost was statistically significant (95% CI, -$12 to -$152). From baseline to the 9-month follow-up, the time trade-off utility value improved by 0.02 in the conventional referral group and 0.03 in the teledermatology group. This difference was not statistically significant (P = .50). CONCLUSIONS AND RELEVANCE: Compared with conventional referrals, store-and-forward teledermatology referrals were performed at a comparable cost (VA perspective) or at a lower cost (societal perspective) with no evidence of a difference in utility as measured by the time trade-off method. TRIAL REGISTRATION: clinicaltrials.gov Identifier: NCT00488293.

Entities:  

Year:  2015        PMID: 26375589     DOI: 10.1001/jamadermatol.2015.2362

Source DB:  PubMed          Journal:  JAMA Dermatol        ISSN: 2168-6068            Impact factor:   10.282


  14 in total

1.  Clinical effectiveness and cost-effectiveness of teledermatology: Where are we now, and what are the barriers to adoption?

Authors:  Robin H Wang; John S Barbieri; Harrison P Nguyen; Robert Stavert; Howard P Forman; Jean L Bolognia; Carrie L Kovarik
Journal:  J Am Acad Dermatol       Date:  2020-02-05       Impact factor: 11.527

2.  Cost-effectiveness of Skin Cancer Referral and Consultation Using Teledermoscopy in Australia.

Authors:  Centaine L Snoswell; Liam J Caffery; Jennifer A Whitty; H Peter Soyer; Louisa G Gordon
Journal:  JAMA Dermatol       Date:  2018-06-01       Impact factor: 10.282

3.  Prospective Implementation of a Consultative Store-and-Forward Teledermatology Model at a Single Urban Academic Health System with Real Cost Data Subanalysis.

Authors:  Neha N Jariwala; Christopher K Snider; Shivan J Mehta; J Kyle Armstrong; Aaron Smith-McLallen; Junko Takeshita; Carrie L Kovarik; Jules B Lipoff
Journal:  Telemed J E Health       Date:  2020-11-04       Impact factor: 5.033

4.  Prospective Evaluation of a Smartphone Otoscope for Home Tympanostomy Tube Surveillance: A Pilot Study.

Authors:  Debra M Don; Jeffrey A Koempel; Laurel M Fisher; Choo Phei Wee; Beth Osterbauer
Journal:  Ann Otol Rhinol Laryngol       Date:  2020-07-04       Impact factor: 1.547

5.  Accelerating Implementation of Virtual Care in an Integrated Health Care System: Future Research and Operations Priorities.

Authors:  Allison A Lewinski; Caitlin Sullivan; Kelli D Allen; Matthew J Crowley; Jennifer M Gierisch; Karen M Goldstein; Kaileigh Gray; Susan N Hastings; George L Jackson; Felicia McCant; Abigail Shapiro; Matthew Tucker; Carolyn Turvey; Leah L Zullig; Hayden B Bosworth
Journal:  J Gen Intern Med       Date:  2021-01-26       Impact factor: 6.473

6.  Patient and practitioner satisfaction with tele-dermatology including Australia's indigenous population: A systematic review of the literature.

Authors:  Emily K Kozera; Anes Yang; Dedee F Murrell
Journal:  Int J Womens Dermatol       Date:  2016-08-09

7.  Online Care Versus In-Person Care for Improving Quality of Life in Psoriasis: A Randomized Controlled Equivalency Trial.

Authors:  April W Armstrong; Adam R Ford; Cindy J Chambers; Emanual Maverakis; Cory A Dunnick; Mary-Margaret Chren; Joel M Gelfand; Caitlin M Gibbons; Brittany M Gibbons; Christianne J Lane
Journal:  J Invest Dermatol       Date:  2018-11-24       Impact factor: 8.551

8.  Mobile technologies to support healthcare provider to healthcare provider communication and management of care.

Authors:  Daniela C Gonçalves-Bradley; Ana Rita J Maria; Ignacio Ricci-Cabello; Gemma Villanueva; Marita S Fønhus; Claire Glenton; Simon Lewin; Nicholas Henschke; Brian S Buckley; Garrett L Mehl; Tigest Tamrat; Sasha Shepperd
Journal:  Cochrane Database Syst Rev       Date:  2020-08-18

9.  What are the cost savings associated with providing access to specialist care through the Champlain BASE eConsult service? A costing evaluation.

Authors:  Clare Liddy; Paul Drosinis; Catherine Deri Armstrong; Fanny McKellips; Amir Afkham; Erin Keely
Journal:  BMJ Open       Date:  2016-06-23       Impact factor: 2.692

10.  Uses of Mobile Device Digital Photography of Dermatologic Conditions in Primary Care.

Authors:  Jennifer L Pecina; Kirk D Wyatt; Nneka I Comfere; Matthew E Bernard; Frederick North
Journal:  JMIR Mhealth Uhealth       Date:  2017-11-08       Impact factor: 4.773

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