Dataset Information

Impact of the urgent care telephone service NHS 111 pilot sites: a controlled before and after study.

ABSTRACT: To measure the impact of the urgent care telephone service NHS 111 on the emergency and urgent care system.Controlled before and after study using routine data.Four pilot sites and three control sites covering a total population of 3.6 million in England, UK.Routine 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.NHS 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.Changes in use of emergency and urgent care services.NHS 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.In 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.

SUBMITTER: Turner J

PROVIDER: S-EPMC3831104 | biostudies-literature | 2013

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Impact of the urgent care telephone service NHS 111 pilot sites: a controlled before and after study.

Turner J J O'Cathain A A Knowles E E Nicholl J J

BMJ open 20131114 11

<h4>Objectives</h4>To measure the impact of the urgent care telephone service NHS 111 on the emergency and urgent care system.<h4>Design</h4>Controlled before and after study using routine data.<h4>Setting</h4>Four pilot sites and three control sites covering a total population of 3.6 million in England, UK.<h4>Participants and data</h4>Routine data on 36 months of use of emergency ambulance service calls and incidents, emergency department attendances, urgent care contacts (general practice (GP ...[more]

PMID: 24231457

Similar Datasets

Project description:ObjectiveTo evaluate service use, clinical outcomes and user experience related to telephone-based digital triage in urgent care.DesignSystematic review and narrative synthesis.Data sourcesMedline, Embase, CINAHL, Web of Science and Scopus were searched for literature published between 1 March 2000 and 1 April 2020.Eligibility criteria for selecting studiesStudies of any design investigating patterns of triage advice, wider service use, clinical outcomes and user experience relating to telephone based digital triage in urgent care.Data extraction and synthesisTwo reviewers extracted data and conducted quality assessments using the mixed methods appraisal tool. Narrative synthesis was used to analyse findings.ResultsThirty-one studies were included, with the majority being UK based; most investigated nurse-led digital triage (n=26). Eight evaluated the impact on wider healthcare service use following digital triage implementation, typically reporting reduction or no change in service use. Six investigated patient level service use, showing mixed findings relating to patients' adherence with triage advice. Evaluation of clinical outcomes was limited. Four studies reported on hospitalisation rates of digitally triaged patients and highlighted potential triage errors where patients appeared to have not been given sufficiently high urgency advice. Overall, service users reported high levels of satisfaction, in studies of both clinician and non-clinician led digital triage, but with some dissatisfaction over the relevance and number of triage questions.ConclusionsFurther research is needed into patient level service use, including patients' adherence with triage advice and how this influences subsequent use of services. Further evaluation of clinical outcomes using larger datasets and comparison of different digital triage systems is needed to explore consistency and safety. The safety and effectiveness of non-clinician led digital triage also needs evaluation. Such evidence should contribute to improvement of digital triage tools and service delivery.Prospero registration numberCRD42020178500.

Project description:BackgroundTelephone-based digital triage is widely used by services that provide urgent care. This involves a call handler or clinician using a digital triage tool to generate algorithm-based care advice, based on a patient's symptoms. Advice typically takes the form of signposting within defined levels of urgency to specific services or self-care advice. Despite wide adoption, there is limited evaluation of its impact on service user experience, service use and clinical outcomes; no previous systematic reviews have focussed on services that utilise digital triage, and its impact on these outcome areas within urgent care. This review aims to address this need, particularly now that telephone-based digital triage is well established in healthcare delivery.MethodsStudies assessing the impact of telephone-based digital triage on service user experience, health care service use and clinical outcomes will be identified through searches conducted in Medline, Embase, Cumulative Index to Nursing and Allied Health Literature (CINAHL), Web of Science and Scopus. Search terms using words relating to digital triage and urgent care settings (excluding in-hours general practice) will be used. The review will include all original study types including qualitative, quantitative and mixed methods studies; studies published in the last 20 years and studies published in English. Quality assessment of studies will be conducted using the Mixed Methods Appraisal Tool (MMAT); a narrative synthesis approach will be used to analyse and summarise findings.DiscussionThis is the first systematic review to evaluate service user experience, service use and clinical outcomes related to the use of telephone-based digital triage in urgent care settings. It will evaluate evidence from studies of wide-ranging designs. The narrative synthesis approach will enable the integration of findings to provide new insights on service delivery. Models of urgent care continue to evolve rapidly, with the emergence of self-triage tools and national help lines. Findings from this review will be presented in a practical format that can feed into the design of digital triage tools, future service design and healthcare policy.Systematic review registrationThis systematic review is registered on the international database of prospectively registered systematic reviews in health and social care (PROSPERO 2020 CRD42020178500 ).

Project description:INTRODUCTION:The management of minor conditions represents a significant burden for urgent and emergency care services and reduces the capacity to provide specialist care for higher acuity healthcare need. A pilot Digital Minor Illness Service (DMIRS) was commenced in the North East of England in December 2017 to feasibility test the NHS 111 referral to community pharmacy for patients presenting with minor conditions. OBJECTIVES:A formative evaluation of the service activity data and qualitative investigation of stakeholders involved in the service design, management, delivery and use, aims to present and investigate the service outcomes. METHOD:Routine service activity data was evaluated during Jan-Dec 2018 to investigate the demographics of patients included in the service; the presenting conditions; and how those referrals were managed by community pharmacies. Semi-structured interviews with NHS 111 call handlers, project team members, community pharmacists and patients were undertaken to investigate the design, management, implementation and delivery of the service. RESULTS:13,246 NHS 111 patient calls were referred to community pharmacy during the evaluative period. The most common presenting conditions were acute pain (n = 1144, 8.6%) and cough (n = 887, 6.7%). A large volume of complaints (47.1%, 6233) were resolved in community pharmacy. Stakeholders explained the structured approach to service design, organisation and implementation facilitated successful delivery and management. Patients reported positive experiences with accessing care via DMIRS. CONCLUSIONS:DMIRS demonstrated that patients could be referred to community pharmacy for the management of minor conditions, shifting a burden away from urgent and emergency care. The service data provides key information for further optimisation of service design, and stakeholder training and awareness. The service was acceptable and valued by patients. Evidence from the DMIRS pilot has been utilised to inform recent national healthcare policy and practice around the management of minor conditions within the urgent and emergency care setting.

Project description:ObjectivesThis feasibility study aimed to model in silico the current healthcare system for patients triaged to a primary care disposition following a call to National Health Service (NHS) 111 and determine the effect of reconfiguring the healthcare system to ensure a timely primary care service contact.DesignDiscrete event simulation.SettingSingle English NHS 111 call centre in Yorkshire.ParticipantsCallers registered with a Bradford general practitioner who contacted the NHS 111 service in 2021 and were triaged to a primary care disposition.Primary and secondary outcome measuresFace validity of conceptual model. Comparison between real and simulated data for quarterly counts (and 95% CIs) for patient contact with emergency ambulance (999), 111, and primary and secondary care services. Mean difference and 95% CIs in healthcare system usage between simulations and difference in mean proportion of avoidable admissions for callers who presented to an emergency department (ED).ResultsThe simulation of the current system estimated that there would be 39 283 (95% CI 39 237 to 39 328) primary care contacts, 2042 (95% CI 2032 to 2051) 999 calls and 1120 (95% CI 1114 to 1127) avoidable ED attendances. Modifying the model to ensure a timely primary care response resulted in a mean percentage increase of 196.1% (95% CI 192.2% to 199.9%) in primary care contacts, and a mean percentage decrease of 78.0% (95% CI 69.8% to 86.2%) in 999 calls and 88.1% (95% CI 81.7% to 94.5%) in ED attendances. Avoidable ED attendances reduced by a mean of -26 (95% CI -35 to -17).ConclusionIn this simulated study, ensuring timely contact with a primary care service would lead to a significant reduction in 999 and 111 calls, and ED attendances (although not avoidable ED attendance). However, this is likely to be impractical given the need to almost double current primary care service provision. Further economic and qualitative research is needed to determine whether this intervention would be cost-effective and acceptable to both patients and primary care clinicians.

Project description:BACKGROUND:The Midhurst Macmillan Specialist Palliative Care at Home Service was founded in 2006 to improve community-based palliative care provision. Principal components include; early referral; home-based clinical interventions; close partnership working; and flexible teamwork. Following a successful introduction, the model was implemented in six further sites across England. This article reports a mixed methods evaluation of the implementation across these 'Innovation Centres'. The evaluation aimed to assess the process and impact on staff, patients and carers of providing Macmillan Specialist Care at Home services across the six sites. METHODS:The study was set within a Realist Evaluation framework and used a longitudinal, mixed methods research design. Data collection over 15 months (2014-2016) included: Quantitative outcome measures - Palliative Performance Scale [PPS] and Palliative Prognostic Index [PPI] (n =?2711); Integrated Palliative Outcome Scales [IPOS] (n =?1157); Carers Support Needs Assessment Tool [CSNAT] (n =?241); Views of Informal Carers -Evaluation of Services [VOICES-SF] (n =?102); a custom-designed Service Data Tool [SDT] that gathered prospective data from each site (n =?88). Qualitative data methods included: focus groups with project team and staff (n =?32 groups with n =?190 participants), and, volunteers (n =?6 groups with n?=?32 participants). Quantitative data were analysed using SPPS Vs. 21 and qualitative data was examined via thematic analysis. RESULTS:Comparison of findings across the six sites revealed the impact of their unique configurations on outcomes, compounded by variations in stage and mode of implementation. PPS, PPI and IPOS data revealed disparity in early referral criteria, complicated by contrasting interpretations of palliative care. The qualitative analysis, CSNAT and VOICES-SF data confirmed the value of the Macmillan model of care but uptake of specialist home-based clinical interventions was limited. The Macmillan brand engendered patient and carer confidence, bringing added value to existing services. Significant findings included better co-ordination of palliative care through project management and a single referral point and multi-disciplinary teamwork including leadership from consultants in palliative medicine, the role of health care assistants in rapid referral, and volunteer support. CONCLUSIONS:Macmillan Specialist Care at Home increases patient choice about place of death and enhances the quality of end of life experience. Clarification of key components is advocated to aid consistency of implementation across different sites and support future evaluative work.

Dataset Information

Impact of the urgent care telephone service NHS 111 pilot sites: a controlled before and after study.

Publications

Impact of the urgent care telephone service NHS 111 pilot sites: a controlled before and after study.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets