Medical Subspecialty Telehealth Consults

2021 ◽  
pp. 142-148
Author(s):  
Susie Q. Lew ◽  
Shailendra Sharma ◽  
Marc O. Siegel ◽  
Hana Akselrod ◽  
Simranjit Kaur ◽  
...  

Health care reforms are advancing new care models that emphasize population-based outcomes. Emergency clinicians are challenged to provide coordinated care with limited resources. Emerging value-based models create the incentives for emergency clinicians to collaborate with specialists to provide high-quality care while lowering cost by reducing admissions when possible. Subspecialty consultation may be difficult to obtain in regions where the population does not support a subspecialist or where there is a workforce shortage. However, obtaining a telehealth subspecialist consult from a remote pool, local network, or established patient–physician relationship can provide such a service. Several use-cases are presented to illustrate how telehealth subspecialty consultation from the emergency department can change patient care and outcomes.

BMJ Open ◽  
2021 ◽  
Vol 11 (12) ◽  
pp. e051424
Author(s):  
Pia Kjær Kristensen ◽  
Anne Mette Falstie-Jensen ◽  
Morten Madsen ◽  
Søren Paaske Johnsen

ObjectivesTo characterise and quantify possible patient-related disparities in hip fracture care including temporal changes.DesignPopulation-based cohort study.SettingAll Danish hospitals treating patients with hip fracture.Participants60 275 hip fracture patients from 2007 to 2016.InterventionsQuality of care was defined as fulfilment of eligible care process measures for the individual patient recommended by an expert panel. Using yearly logistic regression models, we predicted the individual patient’s probability for receiving high-quality care, resulting in a distribution of adjusted probabilities based on age, sex, comorbidity, fracture type, education, family mean income, migration status, cohabitation status, employment status, nursing home residence and type of municipality. Based on the distribution, we identified best-off patients (ie, the 10% of patients with the highest probability) and worst-off patients (ie, the 10% of patients with the lowest probability). We evaluated disparities in quality of care by measuring the distance in fulfilment of outcomes between the best-off and worst-off patients.Primary and secondary outcome measuresThe primary outcome was fulfilment of all-or-none, defined as receiving all relevant process measures. Secondary outcomes were fulfilment of the individual process measures including preoperative optimisation, early surgery, early mobilisation, assessment of pain, basic mobility, nutritional risk and need for antiosteoporotic medication, fall prevention and a postdischarge rehabilitation programme.ResultsThe proportion of patients receiving high-quality care varied over time for both best-off and worst-off patients. The absolute difference in percentage points between the best-off and worst-off patients for receiving all-or-none of the eligible process measures was 12 (95% CI 6 to 18) in 2007 and 23 (95% CI 19 to 28) in 2016. Disparities were consistent for a range of care processes, including assessment of pain, mobilisation within 24 hours, assessment of need for antiosteoporotic medication and nutritional risk assessment.ConclusionsDisparity of care between best-off and worst-off patients remained substantial over time.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Alison M. Mudge ◽  
Adrienne Young ◽  
Prue McRae ◽  
Frederick Graham ◽  
Elizabeth Whiting ◽  
...  

Abstract Background With ageing global populations, hospitals need to adapt to ensure high quality hospital care for older inpatients. Age friendly hospitals (AFH) aim to establish systems and evidence-based practices which support high quality care for older people, but many of these practices remain poorly implemented. This study aimed to understand barriers and enablers to implementing AFH from the perspective of key stakeholders working within an Australian academic health system. Methods In this interpretive phenomenenological study, open-ended interviews were conducted with experienced clinicians, managers, academics and consumer representatives who had peer-recognised interest in improving care of older people in hospital. Initial coding was guided by the Promoting Action on Research Implementation in Health Services (PARIHS) framework. Coding and charting was cross checked by three researchers, and themes validated by an expert reference group. Reporting was guided by COREQ guidelines. Results Twenty interviews were completed (8 clinicians, 7 academics, 4 clinical managers, 1 consumer representative). Key elements of AFH were that older people and their families are recognized and valued in care; skilled compassionate staff work in effective teams; and care models and environments support older people across the system. Valuing care of older people underpinned three other key enablers: empowering local leadership, investing in implementation and monitoring, and training and supporting a skilled workforce. Conclusions Progress towards AFH will require collaborative action from health system managers, clinicians, consumer representatives, policy makers and academic organisations, and reframing the value of caring for older people in hospital.


2021 ◽  
pp. 084047042110120
Author(s):  
Olivia Ly ◽  
David Price ◽  
Refik Saskin ◽  
Michelle Howard

Jurisdictions such as Hamilton, Ontario, where most primary care practices participate in patient enrolment models with enhanced after-hours access, may demonstrate overall improved health equity outcomes. Non-urgent Emergency Department (ED) use has been suggested as an indicator of primary care access; however, the impact of primary care access on ED use is uncertain and likely varies by patient and contextual factors. This population-based, retrospective study investigated whether or not different primary care models were associated with different rates of non-urgent ED visits in Hamilton, a city with relatively high neighbourhood marginalization, compared to the rest of Ontario from 2014/2015 to 2017/2018. In Ontario, enrolment capitation-based practices had more non-urgent ED visits than non-enrolment fee-for-service practices. In Hamilton, where most of the city’s family physicians are in enrolment capitation-based practices, differences between models were minimal. The influence of primary care reforms may differ depending on how they are distributed within regions.


2001 ◽  
Vol 6 (2) ◽  
pp. 6-8
Author(s):  
Christopher R. Brigham

Abstract The AMA Guides to the Evaluation of Permanent Impairment (AMA Guides), Fifth Edition, explains that independent medical evaluations (IMEs) are not the same as impairment evaluations, and the evaluation must be designed to provide the data to answer the questions asked by the requesting client. This article continues discussions from the September/October issue of The Guides Newsletter and examines what occurs after the examinee arrives in the physician's office. First are orientation and obtaining informed consent, and the examinee must understand that there is no patient–physician relationship and the physician will not provide treatment bur rather will send a report to the client who requested the IME. Many physicians ask the examinee to complete a questionnaire and a series of pain inventories before the interview. Typical elements of a complete history are shown in a table. An equally detailed physical examination follows a meticulous history, and standardized forms for reporting these findings are useful. Pain and functional status inventories may supplement the evaluation, and the examining physician examines radiographic and diagnostic studies. The physician informs the interviewee when the evaluation is complete and, without discussing the findings, asks the examinee to complete a satisfaction survey and reviews the latter to identify and rectify any issues before the examinee leaves. A future article will discuss high-quality IME reports.


2020 ◽  
pp. 1-10
Author(s):  
Brittany M. Stopa ◽  
Maya Harary ◽  
Ray Jhun ◽  
Arun Job ◽  
Saef Izzy ◽  
...  

OBJECTIVETraumatic brain injury (TBI) is a leading cause of morbidity and mortality in the US, but the true incidence of TBI is unknown.METHODSThe National Trauma Data Bank National Sample Program (NTDB NSP) was queried for 2007 and 2013, and population-based weighted estimates of TBI-related emergency department (ED) visits, hospitalizations, and deaths were calculated. These data were compared to the 2017 Centers for Disease Control and Prevention (CDC) report on TBI, which used the Healthcare Cost and Utilization Project’s National (“Nationwide” before 2012) Inpatient Sample and National Emergency Department Sample.RESULTSIn the NTDB NSP the incidence of TBI-related ED visits was 59/100,000 in 2007 and 62/100,000 in 2013. However, in the CDC report there were 534/100,000 in 2007 and 787/100,000 in 2013. The CDC estimate for ED visits was 805% higher in 2007 and 1169% higher in 2013. In the NTDB NSP, the incidence of TBI-related deaths was 5/100,000 in 2007 and 4/100,000 in 2013. In the CDC report, the incidence was 18/100,000 in both years. The CDC estimate for deaths was 260% higher in 2007 and 325% higher in 2013.CONCLUSIONSThe databases disagreed widely in their weighted estimates of TBI incidence: CDC estimates were consistently higher than NTDB NSP estimates, by an average of 448%. Although such a discrepancy may be intuitive, this is the first study to quantify the magnitude of disagreement between these databases. Given that research, funding, and policy decisions are made based on these estimates, there is a need for a more accurate estimate of the true national incidence of TBI.


2019 ◽  
Vol 29 (Supplement_4) ◽  
Author(s):  
M T Riccardi ◽  
M Cicconi ◽  
W Ricciardi ◽  
M M Gianino ◽  
G Damiani

Abstract Worldwide, chronic diseases are burdening and the health systems need to be rethought to better manage this epidemiologic shift. One of the critical points in the care pathway of chronic patients is the transition from one care setting to another. Aim of this study is to provide an overview of the current evidence on the impact of transitional care programs on health and economic outcomes for chronic patients Medline, Web of Science and EMBASE were queried for relevant reviews using the Population-Intervention-Context-Outcome (PICO) model. The quality of the included articles was determined using A MeaSurement Tool to Assess systematic Reviews (AMSTAR 2). Data were analyzed using descriptive statistic, and comparison among studies carried out in European Union (EU) versus non-EU was performed (Chi-square test was used and a p < 0.05 was deemed as statistically significant) 124 reviews were assessed for eligibility and 14 were eventually included (for a total of 167 primary articles). Quality appraisal was critically low in 60% of the reviews. Both hospital readmission rate and Emergency Department (ED) visit rate were lower than those in usual care group, but this difference was significant in 40% of articles. In EU studies readmission rate was lower in 65% of cases while in non-EU ones the percentage was 51.0%, but the difference was not significant (p = 0.23). Six reviews (43%) investigated the economic impact of the transitional care: most reported an initial increase in cost due to investment in staff training and creation of organizational networks, followed by a sharp decrease in costs due to a better utilization of health services, thus leading to a reduction in overall costs. Compared with usual care, transitional care shows an overall cost reduction, even if with limited effects on re-hospitalization or ED visit rates. These findings should encourage decision makers to invest in the development of this kind of programs in order to identify models that best perform. Key messages The patient transfer supervision from one care setting to another is necessary for continuity of care, but there is no robust evidence about the better performance of transitional care models. Systematically reviewed transitional care models has been shown be more cost saving, with a moderate impact on hospital readmission or emergency department visits rates.


1995 ◽  
Vol 41 (7) ◽  
pp. 969-975 ◽  
Author(s):  
Helen R. Winefield ◽  
Timothy G. Murrell ◽  
Julie Clifford

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