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

Nudging strategies to influence prescribers' behavior toward reducing opioid prescriptions: a systematic scoping review

OBJECTIVE

This systematic scoping review aimed to map the literature on the use of various nudging strategies to influence prescriber behavior toward reducing opioid prescriptions across diverse healthcare settings.

METHODS

A systematic database search was conducted using seven electronic databases. Only articles published in English were included. A total of 2234 articles were identified, 35 of which met the inclusion criteria. Two independent dimensions were used to describe nudging strategies according to user action and the timing of their implementation.

RESULTS

Six nudging strategies were identified. The most common strategy was default choices, followed by increasing salience of information or incentives and providing feedback. Moreover, 32 studies used the electronic health record as an implementation method, and 29 reported significant results. Most of the effective interventions were multicomponent interventions (i.e., combining nudge strategies and non-nudge components).

CONCLUSIONS

Most nudging strategies used a passive approach, such as defaulting prescriptions to generics and requiring no action from the prescriber. Although reported as effective, this approach often operates under the prescriber's radar. Future research should explore the ethical implications of nudging strategies.INPLASY registration number: 202420082.

Unpacking nudge sensu lato: insights from a scoping review

Nudges may play an important role in improving infection prevention and control (IPC) in hospitals. However, despite the novelty of the framework, their objectives, strategies and implementation approaches are not new. This review aims to provide an overview of the methods typically used by nudge interventions in IPC in hospitals targeting healthcare workers (HCWs). The initial search in PubMed yielded nine hits. Consequently, the search criteria were broadened and a second search was conducted, introducing 'nudge sensu lato' which incorporates insights from sources beyond the traditional nudge framework while maintaining the same objectives, strategies and approaches. During the second search, PubMed, Epistemonikos, Web of Science and PsycInfo were searched in accordance with the PRISMA guidelines. Abstracts were screened, and reviewers from an interdisciplinary team read the full text of selected papers. In total, 5706 unique primary studies were identified. Of these, 67 were included in the review, and only four were listed as nudge sensu stricto, focusing on changing HCWs' hand hygiene. All articles reported positive intervention outcomes. Of the 56 articles focused on improving hand hygiene compliance, 71.4% had positive outcomes. For healthcare equipment disinfection, 50% of studies showed significant results. Guideline adherence interventions had a 66.7% significant outcome rate. The concept of nudge sensu lato was introduced, encompassing interventions that employ strategies, methods and implementation approaches found in the nudge framework. The findings demonstrate that this concept can enhance the scientific development of more impactful nudges. This may help clinicians, researchers and policy makers to develop and implement effective nudging interventions.

Effects of light-guided nudges on health care workers' hand hygiene behavior

BACKGROUND

Hospital-acquired infections are the most frequent adverse events in health care and can be reduced by improving the hand hygiene compliance (HHC) of health care workers (HCWs). We aimed to investigate the effect of nudging with sensor lights on HCWs' HHC.

METHODS

An 11-month intervention study was conducted in 2 inpatient departments at a university hospital. An automated monitoring system (Sani NudgeTM) measured the HHC. Reminder and feedback nudges with lights were displayed on alcohol-based hand rub dispensers. We compared the baseline HHC with HHC during periods of nudging and used the follow-up data to establish if a sustained effect had been achieved.

RESULTS

A total of 91 physicians, 135 nurses, and 15 cleaning staff were enrolled in the study. The system registered 274,085 hand hygiene opportunities in patient rooms, staff restrooms, clean rooms, and unclean rooms. Overall, a significant, sustained effect was achieved by nudging with lights in relation to contact with patients and patient-near surroundings for both nurses and physicians. Furthermore, a significant effect was observed on nurses' HHC in restrooms and clean rooms. No significant effect was found for the cleaning staff.

CONCLUSIONS

Reminder or feedback nudges with light improved and sustained physicians' and nurses' HHC, and constitute a new way of changing HCWs' hand hygiene behavior.

The effects of default nudges on promoting approval of welfare cuts: An exploration during COVID-19

The global COVID-19 pandemic has created significant financial and operational challenges for some businesses. As a result, temporary welfare benefit reduction may be a tough but future-oriented choice for both employers and employees. The present study examined whether default nudges can be used to promote employees' approval of welfare-cutting policy while avoiding negative attitudes. Two online surveys were conducted during the first pandemic wave in China (February 2020). In the first study (N = 310), the participants were presented with a hypothetical welfare-cutting policy that used either an opt-in approach or an opt-out approach. We aimed to investigate how their approval and attitudes were different between two conditions. The results showed that the employees in the opt-out condition were more likely to accept the welfare-cutting policy than those in the opt-in condition, while participants' attitudes toward the policy employing opt-out approach were as negative as that employing opt-in approach. Study 2 (N = 1,519) involved a replication of Study 1 with two additional improved opt-out approaches (opt-out education and opt-out transparency). Compared with the opt-in approach and standard opt-out approach, the opt-out education approach both increased policy support and improved attitudes toward the welfare-cutting policy. The theoretical and practical implications of these findings are discussed.

Choice Architecture to Assist Clinicians with Appropriate COVID-19 Test Ordering

BACKGROUND

Despite improving supplies, SARS-CoV-2 nucleic acid amplification tests remain limited during surges and more so given concerns around COVID-19/influenza co-occurrence. Matching clinical guidelines to available supplies ensures resources remain available to meet clinical needs. We report a change in clinician practice after an electronic health record (EHR) order redesign to impact emergency department (ED) testing patterns.

METHODS

We included all ED visits between December 1, 2021 and January 18, 2022 across a hospital system to assess the impact of EHR order changes on provider behavior 3 weeks before and after the change. The EHR order redesign included embedded symptom-based order guidance. Primary outcomes were the proportion of COVID-19 + flu/respiratory syncytial virus (RSV) testing performed on symptomatic, admitted, and discharged patients, and the proportion of COVID-19 + flu testing on symptomatic, discharged patients.

RESULTS

A total of 52 215 ED visits were included. For symptomatic, discharged patients, COVID-19 + flu/RSV testing decreased from 11.4 to 5.8 tests per 100 symptomatic visits, and the rate of COVID-19 + flu testing increased from 7.4 to 19.1 before and after the intervention, respectively. The rate of COVID-19 + flu/RSV testing increased from 5.7 to 13.1 tests per 100 symptomatic visits for symptomatic patients admitted to the hospital. All changes were significant (P < 0.0001).

CONCLUSIONS

A simple EHR order redesign was associated with increased adherence to institutional guidelines for SARS-CoV-2 and influenza testing amidst supply chain limitations necessitating optimal allocation of scarce testing resources. With continually shifting resource availability, clinician education is not sufficient. Rather, system-based interventions embedded within exiting workflows can better align resources and serve testing needs of the community.

Impact of a prospective feedback loop on care review activities in older patients at the end of life. A stepped-wedge randomised trial

Background

Hospitalisation rates for older people are increasing, with end-of-life care becoming a more medicalised experience. Innovative approaches are warranted to support early identification of the end-of-life phase, communicate prognosis, provide care consistent with people’s preferences, and improve the use of healthcare resources. The Intervention for Appropriate Care and Treatment (InterACT) trial aimed to increase appropriate care and treatment decisions for older people at the end of life, through implementation of a prospective feedback loop. This paper reports on the care review outcomes.

Methods

A stepped-wedge randomised controlled trial was conducted in three large acute hospitals in Queensland, Australia between May 2020 and June 2021. The trial identified older people nearing the end of life using two validated tools for detecting deterioration and short-term death. Admitting clinical teams were provided with details of patients identified as at-risk with the goal of increasing awareness that end of life was approaching to facilitate appropriate patient centred care and avoid non-beneficial treatment. We examined the time between when the patient was identified as ‘at-risk’ and three outcomes: clinician-led care review discussions, review of care directive measures and palliative care referrals. These were considered useful indicators of appropriate care at the end of life.

Results

In two hospitals there was a reduction in the review of care directive measures during the intervention compared with usual care at 21 days (reduced probability of − 0.08; 95% CI: − 0.12 to − 0.04 and − 0.14; 95% CI: − 0.21 to − 0.06). In one hospital there was a large reduction in clinician-led care review discussions at 21 days during the intervention (reduced probability of − 0.20; 95% CI: − 0.28 to − 0.13). There was little change in palliative care referrals in any hospital, with average probability differences at 21 days of − 0.01, 0.02 and 0.04.

Discussion

The results are disappointing as an intervention designed to improve care of hospitalised older people appeared to have the opposite effect on care review outcomes. The reasons for this may be a combination of the intervention design and health system challenges due to the pandemic that highlight the complexity of providing more appropriate care at the end of life.

Trial registration

Australia New Zealand Clinical Trial Registry, ACTRN12619000675123 (registered 6 May 2019).

Supplementary Information

The online version contains supplementary material available at 10.1186/s12877-022-03554-x.

Using nudges to promote clinical decision making of healthcare professionals: A scoping review

Nudging has been discussed in the context of policy and public health, but not so much within healthcare. This scoping review aimed to assess the empirical evidence on how nudging techniques can be used to affect the behavior of healthcare professionals (HCPs) in clinical settings. A systematic database search was conducted for the period January 2010-December 2020 using the PRISMA extension for Scoping Review checklist. Two reviewers independently screened each article for inclusion. Included articles were reviewed to extract key information about each intervention, including purpose, target behavior, measured outcomes, key findings, nudging strategies, intervention objectives and their theoretical underpinnings. Two independent dimensions, building on Kahneman's System 1 and System 2, were used to describe nudging strategies according to user action and timing of their implementation. Of the included 51 articles, 40 reported statistically significant results, six were not significant and two reported mixed results. Thirteen different nudging strategies were identified aimed at modifying four types of HPCs' behavior: prescriptions and orders, procedure, hand hygiene, and vaccination. The most common nudging strategy employed were defaults or pre-orders, followed by alerts or reminders, and active choice. Many interventions did not require any deliberate action from users, here termed passive interventions, such as automatically changing prescriptions to their generic equivalent unless indicated by the user. Passive nudges may be successful in changing the target outcome but may go unnoticed by the user. Future work should consider the broader ethical implications of passive nudges.

An electronic medical record-based intervention to improve hepatitis A vaccination rates in the emergency department during a regional outbreak

Background

In response to the severe hepatitis A outbreak that occurred in Michigan between August 2016 and September 2019, our multihospital health system implemented an electronic medical record (EMR)-based vaccination intervention across its nine emergency departments (EDs). The objectives were to explore the impact of this intervention on increasing vaccination rates among high-risk individuals and to assess the barriers to use of a computerised vaccine reminder system.

Methods

All patients who were 18 years or older were screened using an electronic nursing questionnaire. If a patient was at high risk based on the questionnaire, an electronic best practice advisory (BPA) would trigger and give the physician or advanced practice provider the option to order the hepatitis A vaccine. We explored the vaccination rates in the 24-month preintervention and the 18-month intervention periods. We then administered a survey to physicians, advanced practice providers and nurses evaluating their perceptions and barriers to use of the EMR intervention.

Results

During the preintervention period, 49 vaccines were ordered (5.5 per 100 000 patient visits) and 32 were administered (3.6 per 100 000 patient visits). During the intervention period, 574 865 patient visits (74.3%) were screened. 2494 vaccines (322 per 100 000 patient visits) were ordered, and 1205 vaccines (155 per 100 000 patients visits) were administered. Physicians and advanced practice providers were initially compliant with the BPA’s use, but compliance declined over time. Surveys revealed that the major barrier to use was lack of time.

Conclusions

EMR screening tools and BPAs can be used in the ED as an effective strategy to vaccinate high-risk individuals. This may be translatable to outbreaks of other vaccine-preventable illnesses like influenza, measles or SARS-CoV-2. Providing ongoing education about the public health initiative and giving feedback to physicians, advanced practice providers and nurses about tool compliance are needed to sustain the improvement over time.

We can't mitigate what we don't monitor: using informatics to measure and improve healthcare systems' climate impact and environmental footprint

Climate change, human health, and healthcare systems are inextricably linked. As the climate warms due to greenhouse gas (GHG) emissions, extreme weather events, such as floods, fires, and heatwaves, will drive up demand for healthcare. Delivering healthcare also contributes to climate change, accounting for ∼5% of the global carbon emissions. To rein in healthcare's carbon footprint, clinicians and health policy makers must be able to measure the GHG contributions of healthcare systems and clinical practices. Herein, we scope potential informatics solutions to monitor the carbon footprint of healthcare systems and to support climate-change decision-making for clinicians, and healthcare policy makers. We discuss the importance of methods and tools that can link environmental, economic, and healthcare data, and outline challenges to the sustainability of monitoring efforts. A greater understanding of these connections will only be possible through further development and usage of models and tools that integrate diverse data sources.