| Literature DB >> 25635190 |
Ahjoku Amadi-Obi1, Peadar Gilligan2, Niall Owens3, Cathal O'Donnell4.
Abstract
The right person in the right place and at the right time is not always possible; telemedicine offers the potential to give audio and visual access to the appropriate clinician for patients. Advances in information and communication technology (ICT) in the area of video-to-video communication have led to growth in telemedicine applications in recent years. For these advances to be properly integrated into healthcare delivery, a regulatory framework, supported by definitive high-quality research, should be developed. Telemedicine is well suited to extending the reach of specialist services particularly in the pre-hospital care of acute emergencies where treatment delays may affect clinical outcome. The exponential growth in research and development in telemedicine has led to improvements in clinical outcomes in emergency medical care. This review is part of the LiveCity project to examine the history and existing applications of telemedicine in the pre-hospital environment. A search of electronic databases including Medline, Excerpta Medica Database (EMBASE), Cochrane, and Cumulative Index to Nursing and Allied Health Literature (CINAHL) for relevant papers was performed. All studies addressing the use of telemedicine in emergency medical or pre-hospital care setting were included. Out of a total of 1,279 articles reviewed, 39 met the inclusion criteria and were critically analysed. A majority of the studies were on stroke management. The studies suggested that overall, telemedicine had a positive impact on emergency medical care. It improved the pre-hospital diagnosis of stroke and myocardial infarction and enhanced the supervision of delivery of tissue thromboplasminogen activator in acute ischaemic stroke. Telemedicine presents an opportunity to enhance patient management. There are as yet few definitive studies that have demonstrated whether it had an effect on clinical outcome.Entities:
Keywords: Emergency medical services; Emergency medicine; Mobile health; Pre-hospital care; Telecare; Telehealth; Telemedicine; Telestroke; Teletrauma; eHealth
Year: 2014 PMID: 25635190 PMCID: PMC4306051 DOI: 10.1186/s12245-014-0029-0
Source DB: PubMed Journal: Int J Emerg Med ISSN: 1865-1372
Characteristics of the studies
| Study question | Accuracy | 4 |
| | Feasibility | 8 |
| | Treatment delay | 3 |
| | Clinical outcome | 5 |
| | Cost-effectiveness | 1 |
| | Reliability | 6 |
| | Others | 12 |
| Model of telemedicine | Hub-and-spoke | 13 |
| | Ambulance to hospital | 5 |
| | Others/unspecified | 21 |
| Technology | Computer based | 35 |
| | Smartphone based | 4 |
| Study type | Randomized control study | 2 |
| | Case-control | 10 |
| | Observational/descriptive | 27 |
| Network type | Mobile broadband (GSM) | 8 |
| Wired broadband | 31 |
Stroke
| Waite et al. [[ | Multicentre observational study to test the feasibility of telestroke consulting over a wired broadband. Neurologist in an academic centre carried the teleconsult for two peripheral emergency departments | 88 consults with 24 patients receiving t-PA. Demonstrating that telestroke consulting was feasible | This is an observational study that demonstrates the feasibility of telemedicine across a network of hospitals | |
| Hess et al. [[ | Descriptive study of a new telestroke web-based consult linking eight rural hospitals with a neurology unit | 194 stroke consults seen with 36 receiving tPA. Onset to treatment time dropped by 32 min during the course of the study | This is an observational study that demonstrates the feasibility of a hub and spoke telestroke system | |
| Liman et al. [[ | To test the technical feasibility of telestroke over a 3G public network to a telemedicine-equipped ambulance with a simulated stroke patient | 18 out of 30 scenarios could not be completed due to poor audiovisual quality. Poor network reliability was identified as a cause of unreliable results | This study highlights the challenges of a mobile telehealth platform using GSM network and demonstrates that it was not technically feasible at least in the location studied | |
| Gonzalez et al. [[ | Test of reliability of simplified NIHSS scale done remotely (over a cellular videophone on a 3G network) by a physician assisted locally by an emergency medical technician compared with bedside examination by physician | 480 paired comparisons were done. The authors concluded that assessment over videophone was as reliable as bedside and could be a timely method for remote patient assessment | This study analyses the feasibility of conducting NIHSS assessment remotely over a 3G network but does not simulate real-life situation as the participants were not mobile | |
| Pedragosa et al. [[ | Retrospective case control of quality of care before and after introduction of telemedicine services | 198 patients were managed with telemedicine compared to 201 cases the year before its introduction. Quality of care improved after introduction of telemedicine with reduction in transfers to stroke centre increased review by neurology specialist | This study compares a telestroke programme with historical control before introduction of this service and requires further studies to confirm their conclusions | |
| Demaerschalk et al. [[ | Pooled analysis of two prospective randomized controlled studies comparing telephone with telemedicine neurological consultation for stroke | 276 pooled patients were evaluated. Telemedicine patients had better outcome with increased tPA treatment and reduced post-tPA bleeding, although 90-day mortality was similar | Although the two studies were identically designed, pooled analysis presents the challenge that the characteristics of the two sampled group may not be identical | |
| Nelson et al. [[ | Cost-effectiveness of telestroke was analysed using a decision analytic model constructed by the team | There are higher upfront cost for telemedicine, but over the lifetime, telestroke is cost-effective | This study focuses only on analysing the cost-effectiveness of telemedicine in acute ischaemic stroke and not on other types of stroke. Also, due to lack of published data, some of the conclusions were based on assumptions and estimates | |
| Demaerschalk et al. [[ | Randomized double-blind study analysing CT interpretation agreement among spoke radiologist, stroke neurologist, and central radiology adjudication committee | 54 patients were recruited for the study. No significant difference in agreement between telemedicine group and standard method | The patients were randomized, but bias may be introduced by how the choice of telestrokologist is chosen. Sample size of study is small | |
| Wang et al. [[ | Case-control study comparing bedside telemedicine-based NIHSS assessment in stroke patients | 20 patients were recruited for the study. There was no significant difference between bedside and telemedicine-based NIHSS | Small sample size. Larger sample size required to validate the result. Participating physicians not randomized introduce the possibility of bias | |
| LaMonte [[ | Case-control study comparing the reliability of NIHSS assessment of stroke video images transmitted through telemedicine ambulance (TeleBAT) and TV/VCR | Validity testing indicates that there was no significant difference between TV/VCR and assessment of video transmitted over the telemedicine system | Title indicates study on shortening of time to treatment but study is on analysing the reliability of radiological images transmitted from an ambulance | |
| Handschu et al. [[ | Case-control study comparing bedside with real-time remote video-based NIHSS assessment of stroke patients | 41 patients were recruited for this study. It demonstrated that remote video-based NIHSS assessment was both feasible and comparable to bedside assessment | | |
| Puetz et al. [[ | Retrospective analysis of the reliability and therapeutic impact of telemedicine-based CT interpretation in stroke patients | CT scans from 536 patients were analysed. There was high inter-observer agreement between telemedicine diagnosis and expert reviewers and minimal impact on clinical outcome | | |
| Bergrath et al. [[ | A case-control study comparing telemedicine with standard paramedical care in the pre-hospital management of stroke | 18 telemedical and 46 control patients were included in the study. No major effects on clinical processes but improvements in transfer of stroke specific data with corresponding clinical benefits | | |
| Thomas et al. [[ | Retrospective analysis of the quality of informed consent taken during a telemedical consultation of stroke patients. Quality of 20 randomly selected video-taped consults was analysed by five raters | There was very high variability in the perception of consent, but 78.6% rated informed consent as adequate | Study would have been more informative if compared to face-to-face informed consent | |
| Zaidi [[ | Prospective case-controlled study of telemedical vs. face-to-face management of stroke | Favourable outcome rates were similar between the two groups (42.1% versus 37.5%, | No randomization. Face-to-face patients seen by hub team, while telemedical group seen my the spoke team | |
| Chowdhury et al. [[ | Retrospective case-control study comparing telemedicine with face-to-face management of stroke patient | 97 patients were assessed in the study; 52 (54%) face-to-face and 45 (46%) via telemedicine. Treatment delay was longer in the telemedicine group, but clinical outcome was similar | Method poorly described. Only CT scan appears to be viewed remotely. No information on whether patient assessment was done remotely. No info on how choice was made to use telemedicine | |
| Pervez et al. [[ | Retrospective case-control study comparing telemedicine with face-to-face supervision of IV-tPA in the management of stroke patient | 296 patients were included in the study, of which 181 (61.1%) started IV-tPA remotely and 115 (38.9%) under direct supervision. The telestroke group had older patients on the average, but clinical outcomes were similar between both groups | | |
| Meyer et al. [[ | Retrospective review of the 6-month outcome of telemedicine vs. telephone management | 6-month outcome was not different between the two groups, and mortality was also the same at 18% | | |
| Schwab et al. [[ | Prospective review of 3- and 6-month clinical outcomes after stroke thrombolysis with telemedicine supervision compared to face-to-face care in a stroke hub | 11.2% mortality of the telemedical group compared to 11.5% in the face-to-face group in first 3 months. Favourable functional outcome was also similar between the two groups | Control group was treated in a stroke centre, while telemedicine group was treated in a community hospital | |
| Audebert et al. [[ | Prospective observational study comparing stroke thrombolysis in regional hospitals remotely supervised over a telemedicine link with thrombolysis in academic stroke unit | 115 patients were treated in the regional hospitals, and 110 were treated in the stroke centres. The rate of IV-tPA was higher in stroke centres compared to regional hospitals although the quality of care was similar in both groups | Larger sample size is required to confirm the conclusions in this study | |
| Ang et al. [[ | Retrospective observational analysis of the use of telemedicine in stroke management in a single centre (spoke). Teleconsultants were neurologist based at a specialist national centre (hub) | 45 patients were enrolled into the telestroke programme, of which 18 were thrombolysed. Limited conclusion was reached due to the descriptive nature of the study | Limited conclusion can be drawn from this study due to the study design and small sample size | |
| Switzer [[ | Descriptive study analysing whether a hub and spoke telemedicine network enhances recruitment of patients for acute stroke trials | 19 of 28 patients enrolled into two clinical trails were identified at the spoke level. Another nine patients were identified but could not be transported to the hub | This study explores an added advantage of telemedicine as an aid for patient recruitment into clinical studies | |
| Agarwal et al. [[ | Observational study to demonstrate the safety and efficacy of out-of-hours telestroke service by a horizontal network of hospitals that have thrombolysis service during working hours. Out-of-hours service was provided by a rota of specialists across the network | A 4-month pilot phase with 15 patients demonstrated safety and feasibility. 164 patients were subsequently recruited over a 12-month period. There was significant increase in the number of thrombolysis carried out with outcomes that are comparable wit published studies | This study explores a different model to the traditional ‘hub and spoke’ | |
| Richard et al. [[ | Observational study analysing the effectiveness and safety of a telestroke programme in a rural area with a high elderly population | 53 patients were recruited to the study over a 16-month period. Outcome was worse than those in the published studies but the average age of this study group is much higher than those in other published data | Sample size is small, and study design does not allow clear conclusions from the study | |
| Demaerschalk et al. [[ | Case-control study assessing the reliability of smartphone-based CT interpretation by comparing it with PACS-based system | 53 patients were recruited. There was an agreement (95% CI) between smartphone-based and PACS-based systems, suggesting that smartphone based systems are a reliable alternative | This study compares the interpretation by neurologists on smartphone with radiologists on PACS system, introducing a possible bias based on different specialties. Like-for-like comparison may be required to validate their study |
Myocardial infarction
| Terkelsen et al. [[ | Comparative analysis of treatment delay in patients diagnosed with ST-segment elevated myocardial infarction (STEMI) during the pre-hospital period or in hospital | Treatment delay was significantly reduced in patients diagnosed during the pre-hospital period | | |
| Zanini et al. [[ | Observational study comparing STEMI patients transported with telemedicine-supported ambulance with patient diagnosed in hospital | 399 patients were recruited: 136 via telemedicine, while 263 came directly to the hospital. There was significant reduction treatment delay in the telemedicine compared to the in-hospital group | This is an observational study. Randomized controlled study will be required to validate the results | |
| Brunetti [[ | Observational study to analyse the effectiveness of telemedicine in the diagnosis of STEMI | Of the 27,841 patients recruited for the study, 534 had ECG changes consistent with STEMI. Telemedicine improved the quality of diagnosis of STEMI and also led to reduction in treatment delay | Large prospective study with statistically significant conclusions | |
| Terkelsen et al. [[ | Observational study analysing the technical feasibility of diagnosis of myocardial infarction from ECG transmitted from an ambulance over a GSM network | Of the 250 patients with ECG transmitted, 214 (86%) were technically successful. Telemedicine also reduced treatment delays | This study compared telemedicine-equipped ambulance with regular ambulance. No selection mechanism was used to decide which ambulance transport a patient | |
| Sejersten et al [[ | Case-control study to determine whether treatment delays in myocardial infarction can be reduced by transmitting pre-hospital 12-lead ECG directly to cardiologist phone | Of the 243 patients enrolled in the study, 184 were referred for percutaneous coronary intervention (PCI). ECG transmission was successful in 94%. 72% of the telemedicine group underwent PCI within 90 min of 911 call compared to 13% in the historical controls | Historical controls were used for the study, indicating the possibility of bias |
Trauma
| Duchesne et al. [[ | Comparative analysis of the outcomes before and after the introduction of telemedicine in the trauma management in rural hospitals | Telemedicine improved trauma evaluation and management and led to reduction in hospital cost and mortality | The use of historical controls in this study introduces bias that compromises the conclusions of the study | |
| Saffle et al. [[ | Retrospective comparative analysis of burns evaluation before and after the introduction of telemedicine | 80 patients were recruited to the telemedicine arm, while 28 were recruited during the same period pre-telemedicine. Burns assessment by telemedicine is both accurate and low cost | This study uses historical controls in its analysis. Its conclusion will require conformation by a large randomized control study | |
| Boniface et al. [[ | Analysed whether paramedics could perform focused assessment with sonography for trauma (FAST) under remote guidance by an emergency physician | 51 paramedics were able to complete FAST with 100% of the view under emergency physician guidance | This is an observational study that demonstrates the feasibility of telemedicine-guided FAST by novice paramedics. Further studies will be needed to explore its accuracy | |
| Charash et al. [[ | Prospective double-blind study of simulated trauma patients. The study compares the outcomes of trauma care in a moving ambulance between telemedicine group and non-telemedicine control | Telemedicine to a moving ambulance improves care and successfully guide EMTs through needle thoracostomy and pericardiocentesis | This is a well-designed simulation study that will require investigation with real-life scenarios to confirm their findings | |
| Rogers et al. [[ | Observational study analysing whether real-time telemedicine consult with a trauma surgeon by community hospital emergency department positively affects care | 26 teleconsults were carried out by trauma surgeons over an 8-month period, and survey indicated that 80% felt telemedicine improved patient care | This study is descriptive, and no conclusions were reached | |
| Wallace et al. [[ | Prospective cohort study comparing the management of patients referred to a burns unit with/without telemedicine (store-and-forward) | Telemedicine group was more likely to be booked directly to day surgery without the need for initial assessment. Of the 34 responders to the survey, 31 thought telemedicine improved patient management | The authors did not specify the method of selection of which facilities had telemedicine units installed. There is also very limited description of the facilities, making comparison very difficult | |
| Tachakra et al. [[ | Case-control study comparing the diagnostic accuracy of telemedicine with face-to-face in minor trauma | 200 patients were recruited for the study. There was a very high diagnostic accuracy both in the final diagnosis and in the clinical features | Physicians involved were not blinded or randomized | |
| Rörtgen et al. [[ | Randomized controlled study comparing emergency physician team with telemedicine-assisted paramedic teams in management of four simulated clinical scenario | Total of 31 scenarios were completed by both groups, and there was no statistical difference between the groups' performance | Well-designed study that demonstrates feasibility and quality in a simulation | |
| Tachakra et al. [[ | Retrospective review of patients in a minor trauma telemedicine programme for diagnostic accuracy and sequelae of initial trauma | Diagnosis was wrong in 2% of patients that were managed with telemedicine. The results were similar with those of face-to-face | Observational study |