PMID- 28079461
OWN - NLM
STAT- MEDLINE
DCOM- 20180424
LR  - 20180426
IS  - 1556-3669 (Electronic)
IS  - 1530-5627 (Linking)
VI  - 23
IP  - 7
DP  - 2017 Jul
TI  - Building the Evidence Base for Tele-Emergency Care: Efforts to Identify a 
      Standardized Set of Outcome Measures.
PG  - 561-566
LID - 10.1089/tmj.2016.0190 [doi]
AB  - BACKGROUND: To enhance the quality of emergency department (ED) care, some rural 
      hospitals have adopted the use of telemedicine (tele-ED). Without a common set of 
      metrics, it is difficult to quantify the impact of this technology. INTRODUCTION: 
      To address this limitation, the Health Resources and Services Administration 
      funded the identification and testing of a core set of measures that could be 
      used to build a business case for the value of tele-ED care. METHODS: A 
      comprehensive environmental scan was conducted to identify existing measures 
      relevant to assessing ED care and the use of telemedicine. Identified measures 
      were assessed against a set of criteria and pilot tested in rural hospitals. 
      RESULTS: The environmental scan identified numerous ED-specific measures and a 
      limited set of telehealth-specific measures, but no clearly defined measures 
      specific to tele-ED. Applying evaluation criteria to the measures revealed that 
      few have a well-established evidence base, and fewer have undergone the rigorous 
      testing needed to establish statistical reliability and validity. Nevertheless, a 
      parsimonious set of measures was identified that met many of the evaluation 
      criteria. Pilot testing indicated that collecting data using these measures was 
      feasible. DISCUSSION: For tele-ED benefits to be widely acknowledged, more 
      research is required to demonstrate that care delivered using tele-ED care is as 
      high quality, if not more so, than in-person care. This requires researchers to 
      consistently use a set of clearly defined measures. CONCLUSION: The use of 
      clearly defined and standardized measures will aid interpretation and permit 
      replication in multiple studies, furthering acceptance of study findings.
FAU - Harris, Yael
AU  - Harris Y
AD  - 1 Mathematica Policy Research , Washington, District of Columbia.
FAU - Gilman, Boyd
AU  - Gilman B
AD  - 1 Mathematica Policy Research , Washington, District of Columbia.
FAU - Ward, Marcia M
AU  - Ward MM
AD  - 2 College of Public Health, University of Iowa , Iowa City, Iowa.
FAU - Ladinsky, Jonathan
AU  - Ladinsky J
AD  - 1 Mathematica Policy Research , Washington, District of Columbia.
FAU - Crowley, Jacqueline
AU  - Crowley J
AD  - 1 Mathematica Policy Research , Washington, District of Columbia.
FAU - Warren, Cannon
AU  - Warren C
AD  - 1 Mathematica Policy Research , Washington, District of Columbia.
FAU - Caplan, Craig
AU  - Caplan C
AD  - 3 Health Resources and Services Administration, U.S. Department of Health and 
      Human Services , Rockville, Maryland.
LA  - eng
PT  - Journal Article
PT  - Research Support, U.S. Gov't, P.H.S.
DEP - 20170112
PL  - United States
TA  - Telemed J E Health
JT  - Telemedicine journal and e-health : the official journal of the American 
      Telemedicine Association
JID - 100959949
SB  - IM
MH  - Emergency Medical Services/*standards
MH  - Emergency Treatment/*standards
MH  - Female
MH  - Hospitals, Rural/*standards
MH  - Humans
MH  - Male
MH  - Reproducibility of Results
MH  - Telemedicine/*standards
MH  - United States
OTO - NOTNLM
OT  - emergency care
OT  - quality measures
OT  - rural healthcare
OT  - telehealth
OT  - telemedicine
EDAT- 2017/01/13 06:00
MHDA- 2018/04/25 06:00
CRDT- 2017/01/13 06:00
PHST- 2017/01/13 06:00 [pubmed]
PHST- 2018/04/25 06:00 [medline]
PHST- 2017/01/13 06:00 [entrez]
AID - 10.1089/tmj.2016.0190 [doi]
PST - ppublish
SO  - Telemed J E Health. 2017 Jul;23(7):561-566. doi: 10.1089/tmj.2016.0190. Epub 2017 
      Jan 12.