Assessment of the role of the Edinburgh dysphagia score in referral triage in a national service evaluation of the urgent suspected upper gastrointestinal cancer pathway.

BACKGROUND: The British Society of Gastroenterology has recommended the Edinburgh Dysphagia Score (EDS) to risk-stratify dysphagia referrals during the endoscopy COVID recovery phase. AIMS: External validation of the diagnostic accuracy of EDS and exploration of potential changes to improve its diagnostic performance. METHODS: A prospective multicentre study of consecutive patients referred with dysphagia on an urgent suspected upper gastrointestinal (UGI) cancer pathway between May 2020 and February 2021. The sensitivity and negative predictive value (NPV) of EDS were calculated. Variables associated with UGI cancer were identified by forward stepwise logistic regression and a modified Cancer Dysphagia Score (CDS) developed. RESULTS: 1301 patients were included from 19 endoscopy providers; 43% male; median age 62 (IQR 51-73) years. 91 (7%) UGI cancers were diagnosed, including 80 oesophageal, 10 gastric and one duodenal cancer. An EDS ≥3.5 had a sensitivity of 96.7 (95% CI 90.7-99.3)% and an NPV of 99.3 (97.8-99.8)%. Age, male sex, progressive dysphagia and unintentional weight loss >3 kg were positively associated and acid reflux and localisation to the neck were negatively associated with UGI cancer. Dysphagia duration <6 months utilised in EDS was replaced with progressive dysphagia in CDS. CDS ≥5.5 had a sensitivity of 97.8 (92.3-99.7)% and NPV of 99.5 (98.1-99.9)%. Area under receiver operating curve was 0.83 for CDS, compared to 0.81 for EDS. CONCLUSIONS: In a national cohort, the EDS has high sensitivity and NPV as a triage tool for UGI cancer. The CDS offers even higher diagnostic accuracy. The EDS or CDS should be incorporated into the urgent suspected UGI cancer pathway.

Behavioral economics informed message content in text message reminders to improve cervical screening participation: Two pragmatic randomized controlled trials.

The objective of the reported research was to assess the impact of text message (SMS) reminders and their content on cervical screening rates. Women invited for cervical screening in Northwest London from February-October 2015 were eligible. 3133 women aged 24-29 (Study 1) were randomized (1, 1) to 'no SMS' (control), or a primary care physician (PCP) endorsed SMS (SMS-PCP). 11,405 women aged 30-64 (Study 2), were randomized (1, 1:1:1:1:1:1) to either: no SMS, an SMS without manipulation (SMS), the SMS-PCP, an SMS with a total or proportionate social norm (SMS-SNT or SMS-SNP), or an SMS with a gain-framed or loss-framed message (SMS-GF and SMS-LF). The primary outcome was participation at 18 weeks. In Study 1 participation was significantly higher in the SMS-PCP arm (31.4%) compared to control (26.4%, aOR, 1.29, 95%CI: 1.09-1·51; p = 0.002). In Study 2 participation was highest in the SMS-PCP (38.4%) and SMS (38.1%) arms compared to control (34.4%), (aOR: 1.19, 95%CI: 1.03-1.38; p = 0.02 and aOR: 1.18, 95%CI: 1.02-1.37; p = 0.03, respectively). The results demonstrate that behavioral SMSs improve cervical screening participation. The message content plays an important role in the impact of SMS. The results from this trial have already been used to designing effective policy for cervical cancer screening. The NHS Cervical Screening Programme started running a London-wide screening SMS campaign which was based on the cervical screening trial described here. According to figures published by Public Health England, after six months attendance increased by 4.8%, which is the equivalent of 13,400 more women being screened at 18 weeks.

A regulatory perspective on the influence of health information technology on organisational quality and safety in England.

Health information technology can transform and enhance the quality and safety of care, but it may also introduce new risks. This study analysed 130 healthcare regulator inspection reports and organisational digital maturity scores in order to characterise the impact of health information technology on quality and safety from a regulatory perspective. Although digital maturity and the positive use of health information technology are significantly associated with overall organisational quality, the negative effects of health information technology are frequently and more commonly identified by regulators. The poor usability of technology, lack of easy access to systems and data and the incorrect use of health information technology are the most commonly identified areas adversely affecting quality and safety. There is a need to understand the full risks and benefits of health information technology from the perspective of all stakeholders, including patients, end-users, providers and regulators in order to best inform future practice and regulation.

Implementation of a Digitally Enabled Care Pathway (Part 1): Impact on Clinical Outcomes and Associated Health Care Costs.

BACKGROUND: The development of acute kidney injury (AKI) in hospitalized patients is associated with adverse outcomes and increased health care costs. Simple automated e-alerts indicating its presence do not appear to improve outcomes, perhaps because of a lack of explicitly defined integration with a clinical response. OBJECTIVE: We sought to test this hypothesis by evaluating the impact of a digitally enabled intervention on clinical outcomes and health care costs associated with AKI in hospitalized patients. METHODS: We developed a care pathway comprising automated AKI detection, mobile clinician notification, in-app triage, and a protocolized specialist clinical response. We evaluated its impact by comparing data from pre- and postimplementation phases (May 2016 to January 2017 and May to September 2017, respectively) at the intervention site and another site not receiving the intervention. Clinical outcomes were analyzed using segmented regression analysis. The primary outcome was recovery of renal function to ≤120% of baseline by hospital discharge. Secondary clinical outcomes were mortality within 30 days of alert, progression of AKI stage, transfer to renal/intensive care units, hospital re-admission within 30 days of discharge, dependence on renal replacement therapy 30 days after discharge, and hospital-wide cardiac arrest rate. Time taken for specialist review of AKI alerts was measured. Impact on health care costs as defined by Patient-Level Information and Costing System data was evaluated using difference-in-differences (DID) analysis. RESULTS: The median time to AKI alert review by a specialist was 14.0 min (interquartile range 1.0-60.0 min). There was no impact on the primary outcome (estimated odds ratio [OR] 1.00, 95% CI 0.58-1.71; P=.99). Although the hospital-wide cardiac arrest rate fell significantly at the intervention site (OR 0.55, 95% CI 0.38-0.76; P<.001), DID analysis with the comparator site was not significant (OR 1.13, 95% CI 0.63-1.99; P=.69). There was no impact on other secondary clinical outcomes. Mean health care costs per patient were reduced by £2123 (95% CI -£4024 to -£222; P=.03), not including costs of providing the technology. CONCLUSIONS: The digitally enabled clinical intervention to detect and treat AKI in hospitalized patients reduced health care costs and possibly reduced cardiac arrest rates. Its impact on other clinical outcomes and identification of the active components of the pathway requires clarification through evaluation across multiple sites.

Changing health behaviors using financial incentives: a review from behavioral economics.

BACKGROUND: Incentives are central to economics and are used across the public and private sectors to influence behavior. Recent interest has been shown in using financial incentives to promote desirable health behaviors and discourage unhealthy ones. MAIN TEXT: If we are going to use incentive schemes to influence health behaviors, then it is important that we give them the best chance of working. Behavioral economics integrates insights from psychology with the laws of economics and provides a number of robust psychological phenomena that help to better explain human behavior. Individuals' decisions in relation to incentives may be shaped by more subtle features - such as loss aversion, overweighting of small probabilities, hyperbolic discounting, increasing payoffs, reference points - many of which have been identified through research in behavioral economics. If incentives are shown to be a useful strategy to influence health behavior, a wider discussion will need to be had about the ethical dimensions of incentives before their wider implementation in different health programmes. CONCLUSIONS: Policy makers across the world are increasingly taking note of lessons from behavioral economics and this paper explores how key principles could help public health practitioners design effective interventions both in relation to incentive designs and more widely.

The impact of mobile technology on teamwork and communication in hospitals: a systematic review.

OBJECTIVES: Effective communication is critical to the safe delivery of care but is characterized by outdated technologies. Mobile technology has the potential to transform communication and teamwork but the evidence is currently uncertain. The objective of this systematic review was to summarize the quality and breadth of evidence for the impact of mobile technologies on communication and teamwork in hospitals. MATERIALS AND METHODS: Electronic databases (MEDLINE, PsycINFO, EMBASE, CINAHL Plus, HMIC, Cochrane Library, and National Institute of Health Research Health Technology Assessment) were searched for English language publications reporting communication- or teamwork-related outcomes from mobile technologies in the hospital setting between 2007 and 2017. RESULTS: We identified 38 publications originating from 30 studies. Only 11% were of high quality and none met best practice guidelines for mobile-technology-based trials. The studies reported a heterogenous range of quantitative, qualitative, and mixed-methods outcomes. There is a lack of high-quality evidence, but nonetheless mobile technology can lead to improvements in workflow, strengthen the quality and efficiency of communication, and enhance accessibility and interteam relationships. DISCUSSION: This review describes the potential benefits that mobile technology can deliver and that mobile technology is ubiquitous among healthcare professionals. Crucially, it highlights the paucity of high-quality evidence for its effectiveness and identifies common barriers to widespread uptake. Limitations include the limited number of participants and a wide variability in methods and reported outcomes. CONCLUSION: Evidence suggests that mobile technology has the potential to significantly improve communication and teamwork in hospital provided key organizational, technological, and security challenges are tackled and better evidence delivered.

The effects and preventability of 2627 patient safety incidents related to health information technology failures: a retrospective analysis of 10 years of incident reporting in England and Wales.

BACKGROUND: The use of health information technology (IT) is rapidly increasing to support improvements in the delivery of care. Although health IT is delivering huge benefits, new technology can also introduce unique risks. Despite these risks, evidence on the preventability and effects of health IT failures on patients is scarce. In our study we therefore sought to evaluate the preventability and effects of health IT failures by examining patient safety incidents in England and Wales. METHODS: We designed our study as a retrospective analysis of 10 years of incident reporting in England and Wales. We used text mining with the words "computer", "system", "workstation", and "network" to explore free-text incident descriptors to identify incidents related to health IT failures following a previously described approach. We then applied an n-gram model of searching to identify contiguous sequences of words and provide spatial context. We examined incident details, recorded harm, and preventability. Standard descriptive statistics were applied. Degree of harm was identified according to standardised definitions and preventability was assessed by two independent reviewers. FINDINGS: We identified 2627 incidents related to health IT failures. 2557 (97%) of 2627 incidents were assessed for harm (70 incidents were excluded). 2106 (82%) of 2557 health IT failures caused no harm to patients, 331 (13%) caused low harm, 102 (4%) caused moderate harm, 14 (1%) caused severe harm, and four (<1%) contributed to the death of a patient. 1964 (75%) of 2627 incidents were deemed to be preventable. INTERPRETATION: Health IT is fundamental to the delivery of high-quality care, yet there is a poor understanding of the effects of IT failures on patient safety and whether they can be prevented. Failures are complex and involve interlinked aspects of technology, people, and the environment. Health IT failures are undoubtedly a potential source of substantial harm, but they are likely to be under-reported. Worryingly, three-quarters of IT failures are potentially preventable. There is a need to see health IT as a fundamental tenet of patient safety, develop better methods for capturing the effects of IT failures on patients, and adopt simple measures to reduce their probability and mitigate their risk. FUNDING: The National Institutes of Health Research Imperial Patient Safety Translational Research Centre at Imperial College London.

Financial disincentives? A three-armed randomised controlled trial of the effect of financial Incentives in Diabetic Eye Assessment by Screening (IDEAS) trial.

OBJECTIVE: Conflicting evidence exists regarding the impact of financial incentives on encouraging attendance at medical screening appointments. The primary aim was to determine whether financial incentives increase attendance at diabetic eye screening in persistent non-attenders. METHODS AND ANALYSIS: A three-armed randomised controlled trial was conducted in London in 2015. 1051 participants aged over 16 years, who had not attended eye screening appointments for 2 years or more, were randomised (1.4:1:1 randomisation ratio) to receive the usual invitation letter (control), an offer of £10 cash for attending screening (fixed incentive) or a 1 in 100 chance of winning £1000 (lottery incentive) if they attend. The primary outcome was the proportion of invitees attending screening, and a comparative analysis was performed to assess group differences. Pairwise comparisons of attendance rates were performed, using a conservative Bonferroni correction for independent comparisons. RESULTS: 34/435 (7.8%) of control, 17/312 (5.5%) of fixed incentive and 10/304 (3.3%) of lottery incentive groups attended. Participants who received any incentive were significantly less likely to attend their appointment compared with controls (risk ratio (RR)=0.56; 95% CI 0.34 to 0.92). Those in the probabilistic incentive group (RR=0.42; 95% CI 0.18 to 0.98), but not the fixed incentive group (RR=1.66; 95% CI 0.65 to 4.21), were significantly less likely to attend than those in the control group. CONCLUSION: Financial incentives, particularly lottery-based incentives, attract fewer patients to diabetic eye screening than standard invites in this population. Financial incentives should not be used to promote screening unless tested in context, as they may negatively affect attendance rates.

Incentives in Diabetic Eye Assessment by Screening (IDEAS): study protocol of a three-arm randomized controlled trial using financial incentives to increase screening uptake in London.

BACKGROUND: Diabetes is an increasing public health problem in the UK and globally. Diabetic retinopathy is a microvascular complication of diabetes, and is one of the leading causes of blindness in the UK working age population. The diabetic eye screening programme in England aims to invite all people with diabetes aged 12 or over for retinal photography to screen for the presence of diabetic retinopathy. However, attendance rates are only 81 %, leaving many people at risk of preventable sight loss. METHODS: This is a three arm randomized controlled trial to investigate the impact of different types of financial incentives (based on principles from behavioral economics) on increasing attendance at diabetic eye screening appointments in London. Eligible participants will be aged 16 or over, and are those who have been invited to screening appointments annually, but who have not attended, or telephoned to rearrange an appointment, within the last 24 months. Eligible participants will be randomized to one of three conditions: 1. Control condition (usual invitation letter) 2. Fixed incentive condition (usual invitation letter, including a voucher for £10 if they attend their appointment) 3. Probabilistic incentive condition (invitation letter, including a voucher for a 1 in 100 chance of winning £1000 if they attend their appointment). Participants will be sent invitation letters, and the primary outcome will be whether or not they attend their appointment. One thousand participants will be included in total, randomized with a ratio of 1.4:1:1. In order to test whether the incentive scheme has a differential impact on patients from different demographic or socio-economic groups, information will be recorded on age, gender, distance from screening center, socio-economic status and length of time since they were last screened. A cost-effectiveness analysis will also be performed. DISCUSSION: This study will be the first trial of financial incentives for improving uptake of diabetic eye screening. If effective, the intervention may suggest a cost-effective way to increase screening rates, thus reducing unnecessary blindness. TRIAL REGISTRATION: ISRCTN14896403, 25 February 2016.

Stating Appointment Costs in SMS Reminders Reduces Missed Hospital Appointments: Findings from Two Randomised Controlled Trials.

BACKGROUND: Missed hospital appointments are a major cause of inefficiency worldwide. Healthcare providers are increasingly using Short Message Service reminders to reduce 'Did Not Attend' (DNA) rates. Systematic reviews show that sending such reminders is effective, but there is no evidence on whether their impact is affected by their content. Accordingly, we undertook two randomised controlled trials that tested the impact of rephrasing appointment reminders on DNA rates in the United Kingdom. TRIAL METHODS: Participants were outpatients with a valid mobile telephone number and an outpatient appointment between November 2013 and January 2014 (Trial One, 10,111 participants) or March and May 2014 (Trial Two, 9,848 participants). Appointments were randomly allocated to one of four reminder messages, which were issued five days in advance. Message assignment was then compared against appointment outcomes (appointment attendance, DNA, cancellation by patient). RESULTS: In Trial One, a message including the cost of a missed appointment to the health system produced a DNA rate of 8.4%, compared to 11.1% for the existing message (OR 0.74, 95% CI 0.61-0.89, P<0.01). Trial Two replicated this effect (DNA rate 8.2%), but also found that expressing the same concept in general terms was significantly less effective (DNA rate 9.9%, OR 1.22, 95% CI 1.00-1.48, P<0.05). Moving from the existing reminder to the more effective costs message would result in 5,800 fewer missed appointments per year in the National Health Service Trust in question, at no additional cost. The study's main limitations are that it took place in a single location in England, and that it required accurate phone records, which were only obtained for 20% of eligible patients. We conclude that missed appointments can be reduced, for no additional cost, by introducing persuasive messages to appointment reminders. Future studies could examine the impact of varying reminder messages in other health systems. TRIAL REGISTRATION: Controlled-Trials.com 49432571.

Escalation of care in surgery: a systematic risk assessment to prevent avoidable harm in hospitalized patients.

OBJECTIVE: To systematically risk assess and analyze the escalation of care process in surgery so as to identify problems and provide recommendations for intervention. BACKGROUND: The ability to escalate care appropriately when managing deteriorating patients is a hallmark of surgical competence and safe postoperative care. Healthcare-Failure-Mode-Effects-Analysis (HFMEA) is a methodology adapted from safety-critical industries, which allows for hazardous process failures to be prospectively identified and solutions to be recommended. METHODS: Forty-two hours of ethnographic observations on surgical wards in 3 London hospitals (phase 1) formed the basis of an escalation process diagram. A risk-assessment survey identified failures associated with process steps and attributed hazard scores (phase 2). Patient safety and clinical risk experts validated hazard scores through a group consensus meeting (phase 3). Hazardous failures were taken forward to multidisciplinary HFMEA where cause analysis was applied and interventions were recommended (phase 4). RESULTS: Observations identified 33 steps in the escalation process. The risk-assessment survey (30 surgical staff members, 100% response) and expert consensus group identified 18 hazardous failures associated with these steps. The HFMEA team identified 3 adequately controlled failures; therefore, 15 were subjected to cause analysis. Outdated communication technology, understaffing, and hierarchical barriers were identified as root causes of failure. Participants recommended interventions based on these findings including defined escalation protocols, human factors education, enhanced communication technology, and improved clinical supervision. CONCLUSIONS: Failures in the escalation process amenable to intervention were systematically identified. This mapping of the escalation process will allow tailored interventions to enhance surgical training and patient safety.

Approaches based on behavioral economics could help nudge patients and providers toward lower health spending growth.

Policies that change the environment or context in which decisions are made and "nudge" people toward particular choices have been relatively ignored in health care. This article examines the role that approaches based on behavioral economics could play in "nudging" providers and patients in ways that could slow health care spending growth. The basic insight of behavioral economics is that behavior is guided by the very fallible human brain and greatly influenced by the environment or context in which choices are made. In policy arenas such as pensions and personal savings, approaches based on behavioral economics have provided notable results. In health care, such approaches have been used successfully but in limited ways, as in the use of surgical checklists that have increased patient safety and reduced costs. With health care spending climbing at unsustainable rates, we review the role that approaches based on behavioral economics could play in offering policy makers a potential set of new tools to slow spending growth.

Twitter and the health reforms in the English National Health Service.

Social media (for example Facebook and YouTube) uses online and mobile technologies to allow individuals to participate in, comment on and create user-generated content. Twitter is a widely used social media platform that lets users post short publicly available text-based messages called tweets that other users can respond to. Alongside traditional media outlets, Twitter has been a focus for discussions about the controversial and radical reforms to the National Health Service (NHS) in England that were recently passed into law by the current coalition Government. Looking at over 120,000 tweets made about the health reforms, we have investigated whether any insights can be obtained about the role of Twitter in informing, debating and influencing opinion in a specific area of health policy. In particular we have looked at how the sentiment of tweets changed with the passage of the Health and Social Care Bill through Parliament, and how this compared to conventional opinion polls taken over the same time period. We examine which users appeared to have the most influence in the 'Twittersphere' and suggest how a widely used metric of academic impact - the H-index - could be applied to measure context-dependent influence on Twitter.

Associations between Internet-based patient ratings and conventional surveys of patient experience in the English NHS: an observational study.

OBJECTIVE: Unsolicited web-based comments by patients regarding their healthcare are increasing, but controversial. The relationship between such online patient reports and conventional measures of patient experience (obtained via survey) is not known. The authors examined hospital level associations between web-based patient ratings on the National Health Service (NHS) Choices website, introduced in England during 2008, and paper-based survey measures of patient experience. The authors also aimed to compare these two methods of measuring patient experience. DESIGN: The authors performed a cross-sectional observational study of all (n=146) acute general NHS hospital trusts in England using data from 9997 patient web-based ratings posted on the NHS Choices website during 2009/2010. Hospital trust level indicators of patient experience from a paper-based survey (five measures) were compared with web-based patient ratings using Spearman's rank correlation coefficient. The authors compared the strength of associations among clinical outcomes, patient experience survey results and NHS Choices ratings. RESULTS: Web-based ratings of patient experience were associated with ratings derived from a national paper-based patient survey (Spearman ρ=0.31-0.49, p<0.001 for all). Associations with clinical outcomes were at least as strong for online ratings as for traditional survey measures of patient experience. CONCLUSIONS: Unsolicited web-based patient ratings of their care, though potentially prone to many biases, are correlated with survey measures of patient experience. They may be useful tools for patients when choosing healthcare providers and for clinicians to improve the quality of their services.

Distributed simulation--accessible immersive training.

Distributed simulation (DS) is the concept of high-fidelity immersive simulation on-demand, made widely available wherever and whenever it is required. DS provides an easily transportable, self-contained 'set' for creating simulated environments within an inflatable enclosure, at a small fraction of the cost of dedicated, static simulation facilities. High-fidelity simulation is currently confined to a relatively small number of specialised centres. This is largely because full-immersion simulation is perceived to require static, dedicated and sophisticated equipment, supported by expert faculty. Alternatives are needed for healthcare professionals who cannot access such centres. We propose that elements of immersive simulations can be provided within a lightweight, low-cost and self-contained setting which is portable and can therefore be accessed by a wide range of clinicians. We will argue that mobile simulated environments can be taken to where they are needed, making simulation more widely available. We develop the notion that a simulation environment need not be a fixed, static resource, but rather a 'container' for a range of activities and performances, designed around the needs of individual users. We critically examine the potential of DS to widen access to an otherwise limited resource, putting flexible, 'just in time' training within reach of all clinicians. Finally, we frame DS as a 'disruptive innovation' with potential to radically alter the landscape of simulation-based training.