ObjectivesIn England, the NHS111 service provides assessment and triage by telephone for urgent health problems. A digital version of this service has recently been introduced. We aimed to systematically review the evidence on digital and online symptom checkers and similar services.DesignSystematic review.Data sourcesWe searched Medline, Embase, the Cochrane Library, Cumulative Index to Nursing and Allied Health Literature (CINAHL), Health Management Information Consortium, Web of Science and ACM Digital Library up to April 2018, supplemented by phrase searches for known symptom checkers and citation searching of key studies.Eligibility criteriaStudies of any design that evaluated a digital or online symptom checker or health assessment service for people seeking advice about an urgent health problem.Data extraction and synthesisData extraction and quality assessment (using the Cochrane Collaboration version of QUADAS for diagnostic accuracy studies and the National Heart, Lung and Blood Institute tool for observational studies) were done by one reviewer with a sample checked for accuracy and consistency. We performed a narrative synthesis of the included studies structured around pre-defined research questions and key outcomes.ResultsWe included 29 publications (27 studies). Evidence on patient safety was weak. Diagnostic accuracy varied between different systems but was generally low. Algorithm-based triage tended to be more risk averse than that of health professionals. There was very limited evidence on patients’ compliance with online triage advice. Study participants generally expressed high levels of satisfaction, although in mainly uncontrolled studies. Younger and more highly educated people were more likely to use these services.ConclusionsThe English ‘digital 111’ service has been implemented against a background of uncertainty around the likely impact on important outcomes. The health system may need to respond to short-term changes and/or shifts in demand. The popularity of online and digital services with younger and more educated people has implications for health equity.PROSPERO registration numberCRD42018093564.

ObjectivesRising demand for emergency and urgent care services is well documented, as are the consequences, for example, emergency department (ED) crowding, increased costs, pressure on services, and waiting times. Multiple factors have been suggested to explain why demand is increasing, including an aging population, rising number of people with multiple chronic conditions, and behavioral changes relating to how people choose to access health services. The aim of this systematic mapping review was to bring together published research from urgent and emergency care settings to identify drivers that underpin patient decisions to access urgent and emergency care.MethodsSystematic searches were conducted across Medline (via Ovid SP), EMBASE (via Ovid), The Cochrane Library (via Wiley Online Library), Web of Science (via the Web of Knowledge), and the Cumulative Index to Nursing and Allied Health Literature (CINAHL; via EBSCOhost). Peer‐reviewed studies written in English that reported reasons for accessing or choosing emergency or urgent care services and were published between 1995 and 2016 were included. Data were extracted and reasons for choosing emergency and urgent care were identified and mapped. Thematic analysis was used to identify themes and findings were reported qualitatively using framework‐based narrative synthesis.ResultsThirty‐eight studies were identified that met the inclusion criteria. Most studies were set in the United Kingdom (39.4%) or the United States (34.2%) and reported results relating to ED (68.4%). Thirty‐nine percent of studies utilized qualitative or mixed research designs. Our thematic analysis identified six broad themes that summarized reasons why patients chose to access ED or urgent care. These were access to and confidence in primary care; perceived urgency, anxiety, and the value of reassurance from emergency‐based services; views of family, friends, or healthcare professionals; convenience (location, not having to make appointment, and opening hours); individual patient factors (e.g., cost); and perceived need for emergency medical services or hospital care, treatment, or investigations.ConclusionsWe identified six distinct reasons explaining why patients choose to access emergency and urgent care services: limited access to or confidence in primary care; patient perceived urgency; convenience; views of family, friends, or other health professionals; and a belief that their condition required the resources and facilities offered by a particular healthcare provider. There is a need to examine demand from a whole system perspective to gain better understanding of demand for different parts of the emergency and urgent care system and the characteristics of patients within each sector.

Objectives: Paramedics routinely make critical decisions about the most appropriate care to deliver in a complex system characterized by significant variation in patient case-mix, care pathways and linked service providers. There has been little research carried out in the ambulance service to identify areas of risk associated with decisions about patient care. The aim of this study was to explore systemic influences on decision making by paramedics relating to care transitions to identify potential risk factors. Methods: An exploratory multi-method qualitative study was conducted in three English National Health Service (NHS) Ambulance Service Trusts, focusing on decision making by paramedic and specialist paramedic staff. Researchers observed 57 staff across 34 shifts. Ten staff completed digital diaries and three focus groups were conducted with 21 staff. Results: Nine types of decision were identified, ranging from emergency department conveyance and specialist emergency pathways to non-conveyance. Seven overarching systemic influences and risk factors potentially influencing decision making were identified: demand; performance priorities; access to care options; risk tolerance; training and development; communication and feedback and resources. Conclusions: Use of multiple methods provided a consistent picture of key systemic influences and potential risk factors. The study highlighted the increased complexity of paramedic decisions and multi-level system influences that may exacerbate risk. The findings have implications at the level of individual NHS Ambulance Service Trusts (e.g. ensuring an appropriately skilled workforce to manage diverse patient needs and reduce emergency department conveyance) and at the wider prehospital emergency care system level (e.g. ensuring access to appropriate patient care options as alternatives to the emergency department).

No abstract

Telephone triage services can offer appropriate decisions and decisions that callers comply with. However, the association between the appropriateness of a decision and subsequent compliance requires further investigation and further consideration needs to be given to the minority of calls which are inappropriately managed. We suggest that a definition of appropriateness incorporating both accuracy and adequacy of triage decision should be encouraged.

Background: The Rapid Acute Physiology Score (RAPS) and Rapid Emergency Medicine Score (REMS) are risk adjustment methods for emergency medical admissions developed for use in audit, research, and clinical practice. Each predicts in hospital mortality using four (RAPS) or six (REMS) variables that can be easily recorded at presentation. We aimed to evaluate the predictive value of REMS, RAPS, and their constituent variables. Methods: Age, heart rate, respiratory rate, blood pressure, Glasgow Coma Score (GCS) and oxygen saturation were recorded for 5583 patients who were transported by emergency ambulance, admitted to hospital and then followed up to determine in hospital mortality. The discriminant power of each variable, RAPS, and REMS were compared using the area under the receiver operator characteristic curve (AROCC). Multivariate analysis was used to identify which variables were independent predictors of mortality. Results: REMS (AROCC 0.74; 95% CI 0.70 to 0.78) was superior to RAPS (AROCC 0.64; 95% CI 0.59 to 0.69) as a predictor of in hospital mortality. Although all the variables, except blood pressure, were associated with mortality, multivariate analysis showed that only age (odds ratio 1.74, p,0.001), GCS (2.10, p,0.001), and oxygen saturation (OR 1.36, p = 0.01) were independent predictors. A combination of age, oxygen saturation, and GCS (AROCC 0.80, 95% CI 0.77 to 0.83) was superior to REMS in our population. Conclusion: REMS is a better predictor of mortality in emergency medical admissions than RAPS. Age, GCS, and oxygen saturation appear to be the most useful predictor variables. Inclusion of other variables in risk adjustment scores, particularly blood pressure, may reduce their value.

ObjectivesTo measure the impact of the urgent care telephone service NHS 111 on the emergency and urgent care system.DesignControlled before and after study using routine data.SettingFour pilot sites and three control sites covering a total population of 3.6 million in England, UK.Participants and dataRoutine data on 36 months of use of emergency ambulance service calls and incidents, emergency department attendances, urgent care contacts (general practice (GP) out of hours, walk in and urgent care centres) and calls to the telephone triage service NHS direct.InterventionNHS 111, a new 24 h 7 day a week telephone service for non-emergency health problems, operated by trained non-clinical call handlers with clinical support from nurse advisors, using NHS Pathways software to triage calls to different services and home care.Main outcomesChanges in use of emergency and urgent care services.ResultsNHS 111 triaged 277 163 calls in the first year of operation for a population of 1.8 million. There was no change overall in emergency ambulance calls, emergency department attendances or urgent care use. There was a 19.3% reduction in calls to NHS Direct (95% CI −24.6% to −14.0%) and a 2.9% increase in emergency ambulance incidents (95% CI 1.0% to 4.8%). There was an increase in activity overall in the emergency and urgent care system in each site ranging 4.7–12%/month and this remained when assuming that NHS 111 will eventually take all NHS Direct and GP out of hours calls.ConclusionsIn its first year of operation in four pilot sites NHS 111 did not deliver the expected system benefits of reducing calls to the 999 ambulance service or shifting patients to urgent rather than emergency care. There is potential that this type of service increases overall demand for urgent care.

BackgroundSome emergency admissions can be avoided if acute exacerbations of health problems are managed by the range of health services providing emergency and urgent care.AimTo identify system-wide factors explaining variation in age sex adjusted admission rates for conditions rich in avoidable admissions.DesignNational ecological study.Setting152 emergency and urgent care systems in England.MethodsHospital Episode Statistics data on emergency admissions were used to calculate an age sex adjusted admission rate for conditions rich in avoidable admissions for each emergency and urgent care system in England for 2008–2011.ResultsThere were 3 273 395 relevant admissions in 2008–2011, accounting for 22% of all emergency admissions. The mean age sex adjusted admission rate was 2258 per year per 100 000 population, with a 3.4-fold variation between systems (1268 and 4359). Factors beyond the control of health services explained the majority of variation: unemployment rates explained 72%, with urban/rural status explaining further variation (R2=75%). Factors related to emergency departments, hospitals, emergency ambulance services and general practice explained further variation (R2=85%): the attendance rate at emergency departments, percentage of emergency department attendances converted to admissions, percentage of emergency admissions staying less than a day, percentage of emergency ambulance calls not transported to hospital and perceived access to general practice within 48 h.ConclusionsInterventions to reduce avoidable admissions should be targeted at deprived communities. Better use of emergency departments, ambulance services and primary care could further reduce avoidable emergency admissions.