Literature DB >> 26969534

Nursing Home Provider Perceptions of Telemedicine for Reducing Potentially Avoidable Hospitalizations.

Julia Driessen1, Andro Bonhomme2, Woody Chang3, David A Nace4, Dio Kavalieratos5, Subashan Perera6, Steven M Handler7.   

Abstract

OBJECTIVE: Potentially avoidable hospitalizations (PAHs) of nursing home (NH) residents are common, costly, and can have significant economic consequences. Telemedicine has been shown to reduce emergency department and hospitalization of NH residents, yet adoption has been limited and little is known about provider's perceptions and desired functionality for a telemedicine program. The goal of this study was to survey a nationally representative sample of NH physicians and advanced practice providers to quantify provider perceptions and desired functionality of telemedicine in NHs to reduce PAHs. DESIGN/SETTING/PARTICIPANTS/MEASUREMENT: We surveyed physicians and advanced practice providers who attended the 2015 AMDA-The Society for Post-Acute and Long-Term Care Medicine Annual Conference about their perceptions of telemedicine and desired attributes of a telemedicine program for managing acute changes of condition associated with PAHs.
RESULTS: We received surveys from 435 of the 947 conference attendees for a 45.9% response rate. Providers indicated strong agreement with the potential for telemedicine to improve timeliness of care and fill existing service gaps, while disagreeing most with the ideas that telemedicine would reduce care effectiveness and jeopardize resident privacy. Responses indicated clear preferences for the technical requirements of such a program, such as high-quality audio and video and inclusion of an electronic stethoscope, but with varying opinions about who should be performing the consults.
CONCLUSION: Among NH providers, there is a high degree of confidence in the potential for a telemedicine solution to PAHs in NHs, as well as concrete views about features of such a solution. Such consensus could be used to drive an approach to telemedicine for PAHs in NHs that retains the theoretical strengths of telemedicine and reflects the needs of facilities, providers, and patients. Further research is needed to objectively study the impact of successful telemedicine implementations on patient, provider, and economic outcomes.
Copyright © 2016 AMDA – The Society for Post-Acute and Long-Term Care Medicine. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Nursing homes; hospital readmission; hospitalization; telehealth; telemedicine

Mesh:

Year:  2016        PMID: 26969534      PMCID: PMC4884506          DOI: 10.1016/j.jamda.2016.02.004

Source DB:  PubMed          Journal:  J Am Med Dir Assoc        ISSN: 1525-8610            Impact factor:   4.669


  44 in total

1.  Increasing access to specialty care: a pilot, randomized controlled trial of telemedicine for Parkinson's disease.

Authors:  E Ray Dorsey; Lisa M Deuel; Tiffini S Voss; Kara Finnigan; Benjamin P George; Sheelah Eason; David Miller; Jason I Reminick; Anna Appler; Joyce Polanowicz; Lucy Viti; Sandy Smith; Anthony Joseph; Kevin M Biglan
Journal:  Mov Disord       Date:  2010-08-15       Impact factor: 10.338

2.  Visualization of Patients' Skin Lesions on Their Smartphones: A New Step During Dermatology Visits.

Authors:  Thomas Hubiche; Laure Valério; Franck Boralevi; Emmanuel Mahe; Christine Bodemer Skandalis; Alice Phan; Pascal Del Giudice
Journal:  JAMA Dermatol       Date:  2016-01       Impact factor: 10.282

3.  Kaiser Permanente's experience of implementing an electronic medical record: a qualitative study.

Authors:  J Tim Scott; Thomas G Rundall; Thomas M Vogt; John Hsu
Journal:  BMJ       Date:  2005-11-03

4.  Psychiatrists' satisfaction with telepsychiatry.

Authors:  Gail Wagnild; Cindy Leenknecht; John Zauher
Journal:  Telemed J E Health       Date:  2006-10       Impact factor: 3.536

Review 5.  A systematic review of telemedicine services for residents in long term care facilities.

Authors:  Sisira Edirippulige; Melinda Martin-Khan; Elizabeth Beattie; Anthony C Smith; Leonard C Gray
Journal:  J Telemed Telecare       Date:  2013-05-23       Impact factor: 6.184

6.  Use of telemedicine can reduce hospitalizations of nursing home residents and generate savings for medicare.

Authors:  David C Grabowski; A James O'Malley
Journal:  Health Aff (Millwood)       Date:  2014-02       Impact factor: 6.301

7.  Guidelines for establishing a telemental health program to provide evidence-based therapy for trauma-exposed children and families.

Authors:  Andrea M Jones; Kristen M Shealy; Kathryn Reid-Quiñones; Angela D Moreland; Tatiana M Davidson; Cristina M López; Simone C Barr; Michael A de Arellano
Journal:  Psychol Serv       Date:  2013-12-09

8.  Health IT success and failure: recommendations from literature and an AMIA workshop.

Authors:  Bonnie Kaplan; Kimberly D Harris-Salamone
Journal:  J Am Med Inform Assoc       Date:  2009-03-04       Impact factor: 4.497

9.  Is telepsychiatry equivalent to face-to-face psychiatry? Results from a randomized controlled equivalence trial.

Authors:  Richard O'Reilly; Joan Bishop; Karen Maddox; Lois Hutchinson; Michael Fisman; Jatinder Takhar
Journal:  Psychiatr Serv       Date:  2007-06       Impact factor: 3.084

Review 10.  Health information technology to facilitate communication involving health care providers, caregivers, and pediatric patients: a scoping review.

Authors:  Stephen James Gentles; Cynthia Lokker; K Ann McKibbon
Journal:  J Med Internet Res       Date:  2010-06-18       Impact factor: 5.428

View more
  13 in total

1.  Cost analysis of implementing a telegeriatrics ecosystem with nursing homes: panel data analysis.

Authors:  James Alvin Low; Toh Hui Jin; Laurence Tan Lean Chin; Neha Agarwal; Goh Kim Huat; Adrian Yeow; Christina Soh
Journal:  Health Syst (Basingstoke)       Date:  2019-03-21

2.  Nursing Home Provider Perceptions of Telemedicine for Providing Specialty Consults.

Authors:  Julia Driessen; Woody Chang; Palak Patel; Rollin M Wright; Kambria Ernst; Steven M Handler
Journal:  Telemed J E Health       Date:  2018-01-02       Impact factor: 3.536

3.  Hospital Transfers of Skilled Nursing Facility (SNF) Patients Within 48 Hours and 30 Days After SNF Admission.

Authors:  Joseph G Ouslander; Ilkin Naharci; Gabriella Engstrom; Jill Shutes; David G Wolf; Maria Rojido; Ruth Tappen; David Newman
Journal:  J Am Med Dir Assoc       Date:  2016-06-24       Impact factor: 4.669

4.  Analysis of the effects of EHR implementation on timeliness of care in a dermatology clinic: a simulation study.

Authors:  Vahab Vahdat; Jacqueline A Griffin; James E Stahl; F Clarissa Yang
Journal:  J Am Med Inform Assoc       Date:  2018-07-01       Impact factor: 4.497

5.  Video-telehealth to support clinical assessment and management of acutely unwell older people in Residential Aged Care: a pre-post intervention study.

Authors:  Carolyn Hullick; Jane Conway; Alix Hall; Wendy Murdoch; Janean Cole; Jacqueline Hewitt; Christopher Oldmeadow; John Attia
Journal:  BMC Geriatr       Date:  2022-01-10       Impact factor: 3.921

6.  Effect of advance care planning video on do-not-hospitalize orders for nursing home residents with advanced illness.

Authors:  Ellen M McCreedy; Xiaofei Yang; Susan L Mitchell; Roee Gutman; Joan Teno; Lacey Loomer; Patience Moyo; Angelo Volandes; Pedro L Gozalo; Emmanuelle Belanger; Jessica Ogarek; Vincent Mor
Journal:  BMC Geriatr       Date:  2022-04-08       Impact factor: 3.921

7.  Prevailing Opinions on Connected Health in Austria: Results from an Online Survey.

Authors:  Daniela Haluza; Marlene Naszay; Andreas Stockinger; David Jungwirth
Journal:  Int J Environ Res Public Health       Date:  2016-08-11       Impact factor: 3.390

8.  Factors Determining the Success and Failure of eHealth Interventions: Systematic Review of the Literature.

Authors:  Conceição Granja; Wouter Janssen; Monika Alise Johansen
Journal:  J Med Internet Res       Date:  2018-05-01       Impact factor: 5.428

9.  Innovation Through Regulation: COVID-19 and the Evolving Utility of Telemedicine.

Authors:  Suzanne M Gillespie; Steven M Handler; Alex Bardakh
Journal:  J Am Med Dir Assoc       Date:  2020-08       Impact factor: 4.669

10.  PACE-IT study protocol: a stepped wedge cluster randomised controlled trial evaluating the implementation of telehealth visual assessment in emergency care for people living in residential aged-care facilities.

Authors:  Carla Sunner; Michelle Therese Giles; Vicki Parker; Sophie Dilworth; Kamana Bantawa; Ashley Kable; Chris Oldmeadow; Maralyn Foureur
Journal:  BMC Health Serv Res       Date:  2020-07-20       Impact factor: 2.655

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.