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      Nudging healthcare professionals to improve treatment of COVID-19: a narrative review

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          Abstract

          Introduction The COVID-19 pandemic has placed unprecedented stress on healthcare systems worldwide and disrupted routine care. Healthcare professionals (HCPs) have had to quickly improvise and adapt to cope with a novel deadly virus with uncertain treatment options, lack of evidence, and a shortage of medical supply and personal protective equipment. In an ideal world, clinicians would base their decisions on scientific evidence and best practices. In practice, however, behavioural science shows that decisions are affected by emotional and cognitive biases, especially under stress.1 2 Understanding the behavioural nature of decision-making is essential for designing processes that mitigate risks and improve the quality of care. This is particularly important because of the fast-paced developments characterising the COVID-19 pandemic. One effective strategy in improving decision-making is nudging: subtle changes to the design of the environment or framing choices without restrictions to encourage a given behaviour.3 These strategies are often easy to scale and implement at a low cost, making nudging a practical approach to behaviour change.4 Nudging interventions have been widely effective,5–15 but often patient directed, and less attention has been given to the use of behavioural insights to support HCPs in making appropriate medical decisions. In this review, we synthesise the available literature on how nudging techniques can be used to affect the behaviour of HCPs in clinical settings in order to see if these can be useful in the prevention and treatment of COVID-19. The results are intended to guide and inspire quick implementation of cost-effective solutions that can improve the quality of care. Our objective was to identify interventions using nudge theory3 to affect the behaviour of HCPs in clinical settings, focusing on target groups, nudging techniques, delivery systems and empirical evidence. Methods We conducted a narrative review to explore the role of nudging in supporting HCPs in the prevention and treatment of COVID-19. Studies eligible for inclusion were: (1) interventions conducted in a clinical setting targeting healthcare personnel, (2) behavioural interventions using the term nudging, (3) randomised controlled trials, quasi-experimental or longitudinal (before–after) studies, (4) original research articles published in English and in peer-reviewed journals between 2010 and 2020. Articles were searched by an information specialist at the university library on two electronic databases: PubMed and PsycINFO. We searched the term ‘nudging’, ‘nudges’, or ‘nudge’ in the titles or abstracts of articles published from January 2010 to December 2020. Two of the authors performed individual blinded screening of titles and abstracts from the search using the Rayyan QCRI systematic review tool.16 Studies were selected in three phases: (a) removing duplicates, (b) screening titles and abstracts, and (c) screening full-text articles. Articles that described an intervention to change the behaviour of HCPs in a clinical setting and deemed relevant to COVID-19 were included. Reviews, opinion letters, editorials, and publications that were not published in English were excluded and nudging interventions not relevant to the treatment of COVID-19 (The table is in the repository Zenodo. https://doi.org/10.5281/zenodo.5545926). The blind was then lifted, and any disagreements between authors were discussed with a third author until a consensus was reached. The included articles were then reviewed to extract key information about each intervention, including purpose, target behaviour, measured outcomes, key findings, nudging strategies used and their theoretical underpinnings. The characteristics of the nudging strategies that would allow for systematic grouping were identified. Several grouping approaches were discussed until the most appropriate grouping was selected. The studies were categorised and characterised using descriptive analysis. Nudging is often referenced to two modes of thinking: the automatic system (system 1) and the reflective system (system 2).3 17 However, the underlying behavioural strategies that give rise to different interventions are not always described or easy to characterise. Therefore, we categorised the nudging strategies according to two practical dimensions: Synchronous versus asynchronous: an intervention strategy is synchronous if its delivery coincides with the decision or behaviour it intends to affect, while an asynchronous strategy can be performed anytime. For example, providing alternative options when a clinician is prescribing antibiotics in the electronic system is a synchronous strategy: alternative options (nudge) are presented when the prescription (target behaviour) is taking place. A poster providing information on sound antibiotic prescribing is an asynchronous strategy not connected to a specific prescription. Active versus passive: an active strategy cannot be completed without action from the targeted clinician, while a passive strategy does not require any action. For example, requesting written justifications for an antibiotic prescription to complete the order is active strategy: the prescription (target behaviour) cannot be completed without justification (nudge), while changing the default prescription is a passive strategy. Results The database search yielded 1436 articles (figure 1); 36 duplicates and additional 1352 articles that did not fulfil the inclusion criteria were excluded. Of the 48 articles included for full-text review, 28 were excluded because they were not relevant to COVID-19, resulting in 20 articles included in the analysis. Figure 1 Flow diagram of publication selection process. Summary of the included studies Table 1 summarises the characteristics of the included studies. Online supplemental table S1 gives a more detailed view of the different interventions. 10.1136/bmjoq-2021-001522.supp1 Supplementary data Table 1 Characteristics of the articles included in the review Reference Nudging objective and target Implementation details Findings Bourdeaux et al 18 Increase prescription of a mouthwash and reduce the prescription of an intravenous fluid among ICU HCPs. Chlorhexidine mouthwash was added as a default prescription to the prescribing template and hydroxyethyl starch was removed from the prescribing template. Patients prescribed chlorhexidine increased while patients prescribed hydroxyethyl starch decreased. Bourdeaux et al 19 Increase compliance from ICU HCPs with TVe ventilation. Default ventilator settings were adjusted to comply with low TVe targets and a large dashboard was deployed displaying TVe with alerts when TVe was excessive. In the dashboard intervention, TVe fell more quickly and by a greater amount. O’Reilly-Shah et al 20 Improve compliance from hospital HCPs with LPV strategies. Dashboard with compliance metrics were emailed to providers. Additionally, default setting on anaesthesia machines for TVe was decreased. Dashboards and modification of default ventilator settings improved provider compliance with LPV strategies. Anderson et al 21 To promote sedation minimisation and ventilator liberation among ICU HCPs. A web-based dashboard with real-time data and text-message alerts once patients met criteria for a spontaneous breathing trial and spontaneous awakening trial. Patients were more likely to be extubated and more likely to be discharged from the ICU at any point. Caris et al 22 Increase the use of alcohol-based hand rub among ICU physicians and nurses. Hand hygiene posters were displayed to assess their effect on the use of alcohol-based hand rub, measured with electronic dispensers. Posters displayed next to dispensers increased use of hand rub. King et al 23 Influence HHC among ICU HCPs A clean, citrus smell was released in the air and pictures of male or female eyes were placed above a hand gel dispenser to introduce a perception of being watched. HHC was improved with the clean, citrus smell and also when a picture of ‘male eyes’ was placed over the hand gel dispenser. Kwok et al 24 Improve HHC among hospital ward HCPs. Nurse unit managers were provided with HHC rates via email and shared them with staff at morning handover meetings. In a second phase teams were asked to set HHC goals and colleagues were encouraged to prompt each other. HHC was improved among those who described themselves as a socially cohesive team. Birnbach et al 25 Improve HHC among medical students and graduates. Trainees were randomly assigned so that some encountered a fresh-smelling environment and others a standard setting. The fresh scent group had a higher rate of HHC. Iversen et al 26 Improve HHC among surgical HCPs. An automated monitoring system measured HHC and alcohol-based hand rubbing events. Sensors on dispensers and data-driven performance feedback highlighted HHC of HCPs individually and compared with colleagues. Doctors and nurses increased HHC. Nurses who also received feedback increased HHC even more. Kim et al 27 Improve patient influenza vaccination rates. Active choice was implemented in the EHR prompting medical assistants to ask patients about vaccination during check-in and template orders for clinicians to review. Vaccination rates increased compared with pre-intervention period. Patel et al 28 Improve patient influenza vaccination rates. EHR confirmed patient eligibility during clinic visit and prompted the physician and medical assistant to actively choose to ‘accept’ or ‘cancel’ a vaccination order. Vaccination rates increased compared with the pre-intervention period. Lehmann et al 29 Improve HCP influenza vaccination rates. HCPs were randomly assigned to either an opt-out condition to a pre-scheduled appointment for vaccination (could be changed or cancelled) or an opt-in condition where they had to schedule an appointment if they wanted to get vaccinated. Only opt-out participants were sent a reminder. HCPs in the opt-out condition were more likely to have an appointment for influenza vaccination, which in turn increased the probability of getting vaccinated. Schmidtke et al 30 Improve HCP influenza vaccination rates. HCPs received one of four reminder letters: a standard letter encouraging the staff to take up the vaccination, a second letter using peer comparisons, a third letter with an appeal to authority, a fourth letter included a combination. Vaccination coverage in all groups was the same. No evidence was found that the uptake of the seasonal influenza vaccination was affected by reminders using social norms to motivate uptake. Lorini et al 31 Increase staff vaccination at nursing homes. A personal letter, signed by a high-profile person, was sent to raise awareness on the professional responsibility of vaccination together with a delivering form, a questionnaire on vaccination intent and an information leaflet. Both vaccination uptake and vaccination intent increased. Changolkar et al 32 Improve HCP influenza vaccination rates. The EHR assessed patient eligibility for vaccination and prompted medical assistants to accept or cancel an order for the vaccine. If accepted, the order was templated for the HCP to review and sign during patient visit. Influenza vaccination rates increased. Meeker et al 33 Encourage HCP to judicious use of antibiotics for ARIs. Commitment letters with HCP photographs and signatures were displayed in examination rooms stating their commitment to avoid inappropriate antibiotic prescribing. Commitment letter resulted in a reduction in inappropriate antibiotic prescribing. Meeker et al 34 Reduce HCP inappropriate antibiotic prescribing. 3 interventions implemented alone or in combination: (1) the EHR suggesting non-antibiotic treatments; (2) HCPs needed to justify prescribing antibiotics; (3) emails comparing HCPs antibiotic prescribing rates with ‘top performers’. Mean antibiotic prescribing rates decreased for all interventions. Yadav et al 35 Reduce HCP inappropriate antibiotic prescribing. Comparing adapted intervention with provider and patient education, a champion, and departmental feedback to an enhanced intervention with peer comparison feedback and commitment to judicious antibiotic prescribing. Antibiotic prescribing visits dropped. More intensive nudging methods were not more effective in high-performance settings. Tannenbaum et al 36 Improve HCP guideline concordance for ARIs. HCPs randomly assigned to simulated EHR displays listing antibiotics individually or grouping them together. A reduction in choosing aggressive treatment options when aggressive options were grouped compared with when listed individually. Dos Santos et al 37 Improve HCP dosing for antimicrobials. A window was inserted in the EHR with measurements of patient’s renal function instead of demanding actively clicking. The approach increased appropriateness of dosing. ARI, acute respiratory infection; EHR, electronic health record; HCPs, healthcare professionals; HHC, hand hygiene compliance; ICU, intensive care unit; LPV, lung-protective ventilation; TVe, tidal volume. Four different focus areas relevant to COVID-19 were identified: ventilation, hand hygiene, vaccination and antibiotics (online supplemental table S1 for a more detailed view, and S2 table https://doi.org/10.5281/zenodo.5545926 for full view). Four studies related to ventilation of intubated patients,18–21 five targeted hand hygiene measures,22–26 six focused on increasing vaccination rates27–32 and five focused on encouraging judicious antibiotic prescription.33–37 Out of the 20 studies included for analysis, seven employed more than one medium of intervention, and 13 employed only one. While seven studies delivered the intervention via electronic health records (EHRs) or electronic prescription ordering systems, nine used communication technologies such as email, text messages or traditional letters. Six studies altered the physical environment by using posters, lights or aromatisation, two made modifications to the ventilation machines and two introduced electronic dashboards. Seventeen of the 20 articles had a statistically significant positive result (online supplemental table S1). Of the three that failed, two24 29 delivered the nudge through email and one through letter.30 Overall, 28 different nudging strategies were identified, including accountable justifications, active choices, alerts and reminders, default settings, environmental cueing, feedback, peer comparison, goal setting, information transparency, suggested alternatives and education (online supplemental table S1). There was no standard nomenclature across articles, and many of the articles did not discuss the underlying behavioural theories that gave rise to the nudging intervention. The authors characterised each of the identified nudging strategies as active, passive, synchronous or asynchronous (figure 2). Seven studies used a combination of several intervention strategies. While this increases the possibility of an effective intervention, it also makes it difficult to determine exactly which strategies make an intervention successful. Figure 2 How included studies fit into a two-dimensional view of nudging. Description of the nudging content and strategies Improving care for mechanically ventilated patients All four nudging interventions had significant positive results. Two studies19 20 achieved a significant improvement by changing the default ventilator settings to comply with evidence. O'Reilly-Shah et al 20 complemented their intervention with personal emails to clinicians, summarising compliance metrics compared with department goals. These passive and asynchronous strategies do not require any action on the part of the clinician and can be performed anytime. Anderson et al 21 reduced the duration of mechanical ventilation (MV) and intensive care unit (ICU) length of stay by implementing an electronic dashboard and alert system to promote sedation minimisation and ventilator liberation. The intervention consisted of: (1) a web-based dashboard with real-time data on spontaneous breathing trial readiness, sedation depth, sedative infusions, and nudges to wean sedation and ventilator support; and (2) text-message alerts once patients met the criteria for spontaneous breathing and spontaneous awakening trials. A real-time dashboard was also implemented to visualise which patients were receiving appropriate low tidal volume (TVe).19 These active strategies prompt clinicians to make conscious decisions at a critical moment. Another intervention beneficial to MV patients is the use of chlorhexidine mouthwash, which reduces the rate of ventilator-associated pneumonia (VAP) in critically ill patients. An intervention was designed with chlorhexidine mouthwash as a default prescription to the electronic prescribing template, leading to a significant increase in its prescription.18 Although ordering a prescription is a conscious decision, including default orders is a passive strategy that reduces the cognitive burden. No active action is required unless the clinician has a strong reason to remove the default order. Improving hand hygiene in the hospital or clinic Four of the five studies showed a significant positive result. Posters with carefully crafted messages and hand washing pictures effectively increased the use of hand sanitisers.22 One of the messages appealed to social norms—‘Half of all healthcare workers performed well in hand hygiene. Which category do you belong?’—and the other to loss aversion—a ‘40% increase in hand hygiene, and a 40% decrease in healthcare-associated infections’. Pictures of eyes were placed above a hand gel dispenser to introduce a perception of being watched23 and ‘fresh citrus’ fragrances were dispersed into the environment to achieve a significant positive effect on hand hygiene.23 25 Both the visual and olfactory cues described above were passive and asynchronous. Iversen et al 26 used smart sensors and light displays placed on alcohol gel dispensers as a more active strategy. The light display switched between random lights (cue) and green smileys after hand hygiene (reward) to reinforce the desired behaviour. The target action of using the alcohol gel dispenser produced a synchronous reward, creating a positive association. The authors complemented their environmental nudge with performance feedback, highlighting hand hygiene compliance in different rooms as well as before and after patient contact, individually and compared with colleagues. Despite not achieving a significant positive result, Kwok et al 24 showed that social cohesion—colleagues reminding each other to wash their hands—could improve hand hygiene. Increasing vaccination rates for staff and patients Four of the six studies had significant positive results. Three studies focused on increasing vaccination orders for patients, and three focused on that of the HCPs. All patient-oriented studies used active choice strategies, automatically prompting providers via EHRs to accept or decline vaccination orders to eligible patients.27 28 32 These strategies impact HCPs with a higher workload more than those with a low workload.32 The HCP-focused interventions used letters and emails to HCPs, reminding them to get vaccinated. One study focused on creating messages based on social norms to encourage vaccination.30 Another study compared strategies using pre-scheduled vaccination appointments (opt-out) versus reminders to schedule vaccination appointments (opt-in).29 However, neither showed statistically significant differences. Lorini et al 31 also sent personal letters to nursing home staff, signed by high-profile persons (the Chief Director of the Health Regional Agency and the Head of the Department of Health Sciences), to raise awareness not only about their professional responsibility but also the personal working burden the staff would have to deal with in cases of colleagues getting sick. Unlike Schmidtke et al,30 Lorini et al 31 found a significant effect in the intervention group regarding the intention to get the influenza vaccine, which increased from 2018 to 2019 and 2020. Judicious antibiotic prescription All five studies had a significant positive outcome. Poster-sized commitment letters were displayed in examination rooms, reminding clinicians of their pledge to judicious antibiotic prescription and informing patients of the importance of that choice.33 35 They showed that simply eliciting the intent to perform an action increases the chances of performing it.3 It is noteworthy that posters as visual cues are a passive and asynchronous strategy; but these were personalised, showing photos and names of clinicians who had pledged. Two studies34 35 sent private emails to HCPs with performance metrics, comparing individuals with their groups and top-performing peers. Peer comparison relies on social norms and is an effective nudging strategy.38 In one study,34 clinicians were presented with suggestions for non-antibiotic treatment together with the message ‘Antibiotics are not recommended for this diagnosis. See the alternatives below’. If clinicians decided to continue with the antibiotic prescription, they were required to enter a free-text justification for their choice in the EHRs prescription ordering system. This is an active and synchronous strategy that not only requires immediate action but also forces the clinician to reason about their choice. Tannenbaum et al 36 nudged appropriate prescription by rearranging the visual display of treatment options in the EHRs. HCPs showed a 11.5% reduction in choosing aggressive treatment options (eg, broad-spectrum antibiotics) when these were shown in groups compared with individual lists. This passive and subconscious effect may be explained by ‘anchoring’—treatments are perceived as more aggressive when grouped with other aggressive treatments; or ‘priming’—the perception of certain treatments is subconsciously affected by seeing other treatment options listed closely. To increase the appropriateness of dosing based on renal function, Dos Santos et al 37 made a simple change in the EHRs layout to show the patients’ latest estimated glomerular filtration rate on the main screen. Before the intervention, this information had to be accessed by actively clicking (four clicks) on the system—a task that required approximately 15–20 s. This simple change increased the appropriateness of dosing from 33.9% to 41.4%. Both these studies36 37 suggest that order sets should not be arbitrary. Discussion We identified and described how nudging techniques have been used to affect the behaviour of HCPs in ways that are relevant for handling the COVID-19 pandemic in a clinical setting. Four focus areas were found that could be implemented quite easily: mechanical ventilation, hand hygiene, vaccination and antibiotic prescription. Nudging care of ventilated patients The COVID-19 pandemic has put severe strain on available ICU beds, with a large number of patients requiring invasive mechanical ventilation (MV) for COVID-19-associated pneumonia and acute respiratory distress syndrome (ARDS).39 These patients account for a substantial portion of ICU admissions and hospital costs.40 In addition to the risks intrinsic to MV, ventilator-associated pneumonia (VAP) has been reported as a complication in hospitalised patients with COVID-19.41–43 Our review indicates that default strategies may improve outcomes in MV patients. It has been shown that although low TVe ventilation benefits MV patients with ARDS,44 there is poor compliance.45 Additionally, the preventive use of chlorhexidine mouthwash can reduce (VAP). Default settings for ventilators coupled with alarms can improve compliance with low TVe ventilation. Furthermore, the default inclusion of chlorhexidine mouthwash on order sets for intubated patients significantly increases its preventive use, thus improving patient outcomes. Default strategies that reduce the cognitive burden on HCPs nudge them to better comply with clinical evidence. Nudging hand hygiene The COVID-19 pandemic has resulted in worldwide hand hygiene awareness. Unfortunately, studies have shown that hand hygiene is often inadequately practised among HCPs,46–48 despite studies showing that it may decrease the spread of transmissible disease by 24%–31%,49 50 and is considered one of the most important measures to prevent hospital-acquired infections.51–53 Our review shows that priming strategies that alter the physical environment with images, messages and fragrances can improve hand hygiene compliance (HHC). These are easy and cost-effective interventions that can increase safety in the clinical setting and prevent the spread of COVID-19 in the short term. Visual and olfactory nudges can work as subconscious cues to action but can also easily be ignored. The long-term effects of such strategies were not discussed in the studies we reviewed; more complex strategies may be needed to affect hand washing behaviour in the long term. Nudging vaccination Vaccination is a core component in mitigating the COVID-19 pandemic.54 However, the efficacy of vaccination programmes largely depends on population compliance and vaccine hesitancy or refusal around COVID-19 vaccines quickly became a growing concern in most countries. The fraction of the population that must be vaccinated against COVID-19 to achieve herd immunity has been estimated to be 60%–80%.55 Although there is precedence for mandatory vaccination programmes around the world56 and current discussions regarding COVID-19 vaccines,57 it is likely that vaccination will remain an individual choice. Despite numerous campaigns and initiatives, voluntary influenza vaccination rates in the USA have remained mostly unchanged for nearly a decade, with only 40% of the population being vaccinated each year.58 Recent studies have shown that staff vaccination rates in nursing homes are generally low.59 60 Since nursing homes and other long-term care facilities account for a disproportionate share of COVID-19 cases and fatalities worldwide, increasing vaccination rates among nursing home staff is especially important. Vaccines have been especially instrumental in reducing COVID-19 cases and related deaths among nursing home residents,61 but at the same time vaccine hesitancy or refusal around COVID-19 vaccines is a growing concern worldwide and has become an issue in most countries. Therefore, public awareness campaigns and nudging strategies may be key to achieving high vaccination rates.62 This review identified two types of interventions: those targeting vaccination orders for patients and those targeting staff vaccination. While all the patient-focused interventions had a positive result, two out of three interventions directed at HCPs did not. It is noteworthy that these passive and asynchronous strategies could easily be ignored, whereas the patient-oriented strategies were active and synchronous, requiring immediate action, which could prove valuable during a mass vaccination campaign. That said, HCPs might now have a much different emotional and cognitive response to COVID-19 than influenza, and new intervention strategies should be investigated. The significant positive results found by Lorini et al 31 could for instance be due to the already large impact of COVID-19 affecting inclination towards vaccination among HCPs. Other studies have shown vaccine hesitancy among skilled nursing facility staff regarding the COVID-19 vaccine, either because of the development and testing or personal fears of getting sick.63 An effective behaviour change strategy for COVID-19 vaccines uptake will therefore need to address multiple beliefs and behavioural determinants, by reducing barriers and leveraging enablers.64 Text-based reminders have for instance been shown to be effective to get patients vaccinated, especially when designed to make them feel ownership of the vaccine dose,65 66 and that the vaccine dose was reserved for them.65 This has also been tested on actual uptake of COVID-19 vaccines.66 This is something future nudging studies need to explore when it comes to HCPs. Nudging antibiotic prescriptions Appropriate hospital antibiotic use is a key element in patient safety, and it has been shown that antibiotics are often unnecessary in the treatment of COVID-19.67 Although bacterial co-pathogens are common in viral respiratory infections, the prevalence of bacterial infections in patients with COVID-19 is not well understood.68 Hence, the prevention of inappropriate antibiotic use is important not only to reduce the risk of opportunistic infections and other adverse drug events, but also to deter the natural selection of antibiotic-resistant bacteria.69 70 Our review indicates that social interventions such as public pledges, public-facing commitment letters and peer comparisons can effectively reduce inappropriate antibiotic prescriptions. EHRs or electronic prescription systems are important tools for changing prescribing behaviour. Both passive and active strategies have shown promise for reducing inappropriate antibiotic prescriptions. Health providers should not only consider how medications are displayed, but also the steps required to complete an order as possible windows of opportunities to deliver nudging interventions via the EHR. Using the two-dimensional view of nudging The active/passive and synchronous/asynchronous dimensions are practical in characterising how and when HCPs are exposed to the nudging intervention, without requiring deep knowledge of behavioural economics or behavioural psychology. These two dimensions created four quadrants, each containing different nudging strategies (figure 3). While active strategies enable the clinician to consciously reflect on the target behaviour, passive strategies can reduce their cognitive burden by making a behaviour easier or automatic. Figure 3 Examples of how nudging strategies fit into a two-dimensional view of nudging. EHR, electronic health record. Conclusion Evidence suggests that different nudging techniques can be used in clinical settings as simple, cost-effective strategies to fight COVID-19, reduce complications for intubated patients, improve hand hygiene, increase vaccination rates and avoid unnecessary antibiotic prescriptions. These strategies could be important in the continued handling of the pandemic, which will not be over until the whole world reaches herd immunity from vaccination. As the COVID-19 pandemic continues, there is a need to gather the best available evidence-based treatment to avoid death and unnecessary suffering. The first wave led to better treatment options during the second and third wave.71 Nudging techniques can be an easy and cost-effective way to optimise care and, ultimately, save lives.

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          Rayyan—a web and mobile app for systematic reviews

          Background Synthesis of multiple randomized controlled trials (RCTs) in a systematic review can summarize the effects of individual outcomes and provide numerical answers about the effectiveness of interventions. Filtering of searches is time consuming, and no single method fulfills the principal requirements of speed with accuracy. Automation of systematic reviews is driven by a necessity to expedite the availability of current best evidence for policy and clinical decision-making. We developed Rayyan (http://rayyan.qcri.org), a free web and mobile app, that helps expedite the initial screening of abstracts and titles using a process of semi-automation while incorporating a high level of usability. For the beta testing phase, we used two published Cochrane reviews in which included studies had been selected manually. Their searches, with 1030 records and 273 records, were uploaded to Rayyan. Different features of Rayyan were tested using these two reviews. We also conducted a survey of Rayyan’s users and collected feedback through a built-in feature. Results Pilot testing of Rayyan focused on usability, accuracy against manual methods, and the added value of the prediction feature. The “taster” review (273 records) allowed a quick overview of Rayyan for early comments on usability. The second review (1030 records) required several iterations to identify the previously identified 11 trials. The “suggestions” and “hints,” based on the “prediction model,” appeared as testing progressed beyond five included studies. Post rollout user experiences and a reflexive response by the developers enabled real-time modifications and improvements. The survey respondents reported 40% average time savings when using Rayyan compared to others tools, with 34% of the respondents reporting more than 50% time savings. In addition, around 75% of the respondents mentioned that screening and labeling studies as well as collaborating on reviews to be the two most important features of Rayyan. As of November 2016, Rayyan users exceed 2000 from over 60 countries conducting hundreds of reviews totaling more than 1.6M citations. Feedback from users, obtained mostly through the app web site and a recent survey, has highlighted the ease in exploration of searches, the time saved, and simplicity in sharing and comparing include-exclude decisions. The strongest features of the app, identified and reported in user feedback, were its ability to help in screening and collaboration as well as the time savings it affords to users. Conclusions Rayyan is responsive and intuitive in use with significant potential to lighten the load of reviewers.
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            Clinical course and outcomes of critically ill patients with SARS-CoV-2 pneumonia in Wuhan, China: a single-centered, retrospective, observational study

            Summary Background An ongoing outbreak of pneumonia associated with the severe acute respiratory coronavirus 2 (SARS-CoV-2) started in December, 2019, in Wuhan, China. Information about critically ill patients with SARS-CoV-2 infection is scarce. We aimed to describe the clinical course and outcomes of critically ill patients with SARS-CoV-2 pneumonia. Methods In this single-centered, retrospective, observational study, we enrolled 52 critically ill adult patients with SARS-CoV-2 pneumonia who were admitted to the intensive care unit (ICU) of Wuhan Jin Yin-tan hospital (Wuhan, China) between late December, 2019, and Jan 26, 2020. Demographic data, symptoms, laboratory values, comorbidities, treatments, and clinical outcomes were all collected. Data were compared between survivors and non-survivors. The primary outcome was 28-day mortality, as of Feb 9, 2020. Secondary outcomes included incidence of SARS-CoV-2-related acute respiratory distress syndrome (ARDS) and the proportion of patients requiring mechanical ventilation. Findings Of 710 patients with SARS-CoV-2 pneumonia, 52 critically ill adult patients were included. The mean age of the 52 patients was 59·7 (SD 13·3) years, 35 (67%) were men, 21 (40%) had chronic illness, 51 (98%) had fever. 32 (61·5%) patients had died at 28 days, and the median duration from admission to the intensive care unit (ICU) to death was 7 (IQR 3–11) days for non-survivors. Compared with survivors, non-survivors were older (64·6 years [11·2] vs 51·9 years [12·9]), more likely to develop ARDS (26 [81%] patients vs 9 [45%] patients), and more likely to receive mechanical ventilation (30 [94%] patients vs 7 [35%] patients), either invasively or non-invasively. Most patients had organ function damage, including 35 (67%) with ARDS, 15 (29%) with acute kidney injury, 12 (23%) with cardiac injury, 15 (29%) with liver dysfunction, and one (2%) with pneumothorax. 37 (71%) patients required mechanical ventilation. Hospital-acquired infection occurred in seven (13·5%) patients. Interpretation The mortality of critically ill patients with SARS-CoV-2 pneumonia is considerable. The survival time of the non-survivors is likely to be within 1–2 weeks after ICU admission. Older patients (>65 years) with comorbidities and ARDS are at increased risk of death. The severity of SARS-CoV-2 pneumonia poses great strain on critical care resources in hospitals, especially if they are not adequately staffed or resourced. Funding None.
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              Bacterial and fungal co-infection in individuals with coronavirus: A rapid review to support COVID-19 antimicrobial prescribing

              Abstract Background To explore and describe the current literature surrounding bacterial/fungal co-infection in patients with coronavirus infection. Methods MEDLINE, EMBASE, and Web of Science were searched using broad based search criteria relating to coronavirus and bacterial co-infection. Articles presenting clinical data for patients with coronavirus infection (defined as SARS-1, MERS, SARS-COV-2, and other coronavirus) and bacterial/fungal co-infection reported in English, Mandarin, or Italian were included. Data describing bacterial/fungal co-infections, treatments, and outcomes were extracted. Secondary analysis of studies reporting antimicrobial prescribing in SARS-COV-2 even in the absence of co-infection was performed. Results 1007 abstracts were identified. Eighteen full texts reported bacterial/fungal co-infection were included. Most studies did not identify or report bacterial/fungal coinfection (85/140;61%). 9/18 (50%) studies reported on COVID-19, 5/18 (28%) SARS-1, 1/18 (6%) MERS, and 3/18 (17%) other coronavirus. For COVID-19, 62/806 (8%) patients were reported as experiencing bacterial/fungal co-infection during hospital admission. Secondary analysis demonstrated wide use of broad-spectrum antibacterials, despite a paucity of evidence for bacterial coinfection. On secondary analysis, 1450/2010 (72%) of patients reported received antimicrobial therapy. No antimicrobial stewardship interventions were described. For non-COVID-19 cases bacterial/fungal co-infection was reported in 89/815 (11%) of patients. Broad-spectrum antibiotic use was reported. Conclusions Despite frequent prescription of broad-spectrum empirical antimicrobials in patients with coronavirus associated respiratory infections, there is a paucity of data to support the association with respiratory bacterial/fungal co-infection. Generation of prospective evidence to support development of antimicrobial policy and appropriate stewardship interventions specific for the COVID-19 pandemic are urgently required.
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                Author and article information

                Journal
                BMJ Open Qual
                BMJ Open Qual
                bmjqir
                bmjoq
                BMJ Open Quality
                BMJ Publishing Group (BMA House, Tavistock Square, London, WC1H 9JR )
                2399-6641
                2021
                9 December 2021
                9 December 2021
                : 10
                : 4
                : e001522
                Affiliations
                [1 ]departmentCentre for Person-Centred Care (GPCC) , University of Gothenburg , Gothenburg, Sweden
                [2 ]departmentOccupational and Environmental Medicine , Lund University Faculty of Medicine , Lund, Sweden
                [3 ]Viniam Consulting , Halmstad, Sweden
                [4 ]departmentDepartment of Anaesthesiology and Intensive Care Medicine , Sahlgrenska University Hospital , Gothenburg, Sweden
                Author notes
                [Correspondence to ] Dr Andreas Vilhelmsson; andreas.vilhelmsson@ 123456gu.se
                Author information
                http://orcid.org/0000-0002-6635-8182
                Article
                bmjoq-2021-001522
                10.1136/bmjoq-2021-001522
                8662583
                34887299
                f4dc064c-ef45-49d7-b573-8baebb886860
                © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

                This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See:  http://creativecommons.org/licenses/by-nc/4.0/.

                History
                : 10 April 2021
                : 25 November 2021
                Funding
                Funded by: Centre for Person-Centred Care (GPCC);
                Award ID: 2009-1088
                Categories
                Narrative Review
                1506
                2474
                Custom metadata
                unlocked

                covid-19,health behaviour,decision-making,health services research,evidence-based practice

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