Influence Clinician Behaviour Research Articles

Compass for antibiotic stewardship: using a digital tool to improve guideline adherence and drive clinician behaviour for appendicitis treatment in the emergency department

BackgroundAntibiotic stewardship in the ED is important given the increasing prevalence of multidrug resistance associated with poorer patient outcomes. The use of broad-spectrum antibiotics in the ED for infections like...

Effect of an electronic medical record nudge to improve quality improvement program tracking of neuraxial catheter replacements in obstetric patients

BackgroundMonitoring complications associated with medical procedures requires reliable and accurate record keeping. Nudge reminders executed by way of electronic medical record (EMR) alerts influence clinician behaviour. We hypothesised that the...

Unlocking the restraint-Development of a behaviour change intervention to increase the provision of modified constraint-induced movement therapy in stroke rehabilitation.

Strong evidence supports the provision of modified constraint-induced movement therapy (mCIMT) to improve upper limb function after stroke. A service audit identified that very few patients received mCIMT in a large subacute, early-supported discharge rehabilitation service. A behaviour change intervention was developed to increase the provision of mCIMT following an unsuccessful 'education only' attempt. This paper aims to systematically document the steps undertaken and to provide practical guidance to clinicians and rehabilitation services to implement this complex, yet effective, rehabilitation intervention. This clinician behaviour change intervention was developed over five stages and led by a working group of neurological experts (n = 3). Data collection methods included informal discussions with clinicians and an online survey (n = 35). The staged process included reflection on why the first attempt did not improve the provision of mCIMT (stage 1), mapping barriers and enablers to the Theoretical Domains Framework (TDF) and behaviour change wheel (BCW) to guide the behaviour change techniques (stages 2 and 3), developing a suitable mCIMT protocol (stage 4), and delivering the behaviour change intervention (stage 5). Reflection among the working group identified the need for upskilling in mCIMT delivery and the use of a behaviour change framework to guide the implementation program. Key determinants of behaviour change operated within the TDF domains of knowledge, skills, environmental context and resources, social role and identity, and social influences. Following the development of a context-specific mCIMT protocol, the BCW guided the behaviour change intervention, which included education, training, persuasion, environmental restructuring, and modelling. This paper provides an example of using the TDF and BCW to support the implementation of mCIMT in a large early-supported discharge service. It outlines the suite of behaviour change techniques used to influence clinician behaviour. The success of this behaviour change intervention will be explored in future research.

Prospective Evaluation of a Dynamic Acuity Score for Regularly Assessing a Critically Ill Patient's Risk of Mortality.

Predictive models developed for use in ICUs have been based on retrospectively collected data, which does not take into account the challenges associated with live, clinical data. This study sought to determine if a previously constructed predictive model of ICU mortality (ViSIG) is robust when using data collected prospectively in near real-time. Prospectively collected data were aggregated and transformed to evaluate a previously developed rolling predictor of ICU mortality. Five adult ICUs at Robert Wood Johnson-Barnabas University Hospital and one adult ICU at Stamford Hospital. One thousand eight hundred and ten admissions from August to December 2020. The ViSIG Score, comprised of severity weights for heart rate, respiratory rate, oxygen saturation, mean arterial pressure, mechanical ventilation, and values for OBS Medical's Visensia Index. This information was collected prospectively, whereas data on discharge disposition was collected retrospectively to measure the ViSIG Score's accuracy. The distribution of patients' maximum ViSIG Score was compared with ICU mortality rate, and cut points determined where changes in mortality probability were greatest. The ViSIG Score was validated on new admissions. The ViSIG Score was able to stratify patients into three groups: 0-37 (low risk), 38-58 (moderate risk), and 59-100 (high risk), with mortality of 1.7%, 12.0%, and 39.8%, respectively ( p < 0.001). The sensitivity and specificity of the model to predict mortality for the high-risk group were 51% and 91%. Performance on the validation dataset remained high. There were similar increases across risk groups for length of stay, estimated costs, and readmission. Using prospectively collected data, the ViSIG Score produced risk groups for mortality with good sensitivity and excellent specificity. A future study will evaluate making the ViSIG Score visible to clinicians to determine whether this metric can influence clinician behavior to reduce adverse outcomes.

The impact of removing financial incentives and/or audit and feedback on chlamydia testing in general practice: A cluster randomised controlled trial (ACCEPt-able).

Financial incentives and audit/feedback are widely used in primary care to influence clinician behaviour and increase quality of care. While observational data suggest a decline in quality when these interventions are stopped, their removal has not been evaluated in a randomised controlled trial (RCT), to our knowledge. This trial aimed to determine whether chlamydia testing in general practice is sustained when financial incentives and/or audit/feedback are removed. We undertook a 2 × 2 factorial cluster RCT in 60 general practices in 4 Australian states targeting 49,525 patients aged 16-29 years for annual chlamydia testing. Clinics were recruited between July 2014 and September 2015 and were followed for up to 2 years or until 31 December 2016. Clinics were eligible if they were in the intervention group of a previous cluster RCT where general practitioners (GPs) received financial incentives (AU$5-AU$8) for each chlamydia test and quarterly audit/feedback reports of their chlamydia testing rates. Clinics were randomised into 1 of 4 groups: incentives removed but audit/feedback retained (group A), audit/feedback removed but incentives retained (group B), both removed (group C), or both retained (group D). The primary outcome was the annual chlamydia testing rate among 16- to 29-year-old patients, where the numerator was the number who had at least 1 chlamydia test within 12 months and the denominator was the number who had at least 1 consultation during the same 12 months. We undertook a factorial analysis in which we investigated the effects of removal versus retention of incentives (groups A + C versus groups B + D) and the effects of removal versus retention of audit/feedback (group B + C versus groups A + D) separately. Of 60 clinics, 59 were randomised and 55 (91.7%) provided data (group A: 15 clinics, 11,196 patients; group B: 14, 11,944; group C: 13, 11,566; group D: 13, 14,819). Annual testing decreased from 20.2% to 11.7% (difference -8.8%; 95% CI -10.5% to -7.0%) in clinics with incentives removed and decreased from 20.6% to 14.3% (difference -7.1%; 95% CI -9.6% to -4.7%) where incentives were retained. The adjusted absolute difference in treatment effect was -0.9% (95% CI -3.5% to 1.7%; p = 0.2267). Annual testing decreased from 21.0% to 11.6% (difference -9.5%; 95% CI -11.7% to -7.4%) in clinics where audit/feedback was removed and decreased from 19.9% to 14.5% (difference -6.4%; 95% CI -8.6% to -4.2%) where audit/feedback was retained. The adjusted absolute difference in treatment effect was -2.6% (95% CI -5.4% to -0.1%; p = 0.0336). Study limitations included an unexpected reduction in testing across all groups impacting statistical power, loss of 4 clinics after randomisation, and inclusion of rural clinics only. Audit/feedback is more effective than financial incentives of AU$5-AU$8 per chlamydia test at sustaining GP chlamydia testing practices over time in Australian general practice. Australian New Zealand Clinical Trials Registry ACTRN12614000595617.

Embedding Learning in a Learning Health Care System to Improve Clinical Practice.

In an ideal learning health care system (LHS), clinicians learn from what they do and do what they learn, closing the evidence-to-practice gap. In operationalizing an LHS, great strides have been made in knowledge generation. Yet, considerable challenges remain to the broad uptake of identified best practices. To bridge the gap from generating actionable knowledge to applying that knowledge in clinical practice, and ultimately to improving outcomes, new information must be disseminated to and implemented by frontline clinicians. To date, the dissemination of this knowledge through traditional avenues has not achieved meaningful practice change quickly. Vanderbilt University Medical Center (VUMC) developed QuizTime, a smartphone application learning platform, to provide a mechanism for embedding workplace-based clinician learning in the LHS. QuizTime leverages spaced education and retrieval-based practice to facilitate practice change. Beginning in January 2020, clinician-researchers and educators at VUMC designed a randomized, controlled trial to test whether the QuizTime learning system influenced clinician behavior in the context of recent evidence supporting the use of balanced crystalloids rather than saline for intravenous fluid management and new regulations around opioid prescribing. Whether spaced education and retrieval-based practice influence clinician behavior and patient outcomes at the VUMC system level will be tested using the data currently being collected. These findings will inform future directions for developing and deploying learning approaches at scale in an LHS, with the goal of closing the evidence-to-practice gap.

Factors influencing the implementation of best practice in burn care in Western Australia

Aims and objectivesThe study aimed to determine the factors which influence clinician behaviour and adherence to best practice when clinicians provide the initial care for paediatric burn patients admitted to a burns unit. BackgroundOptimal initial care of burn patients influences morbidity and mortality. Non-burn specialist clinician adherence to best practice is influenced by previously unexplored factors. DesignGeneral inductive qualitative methods were used to explore factors which influenced clinicians providing acute pre-admission burn care for children in Western Australia. MethodsInterviews of nineteen clinicians using standardised open-ended questions based on the Gilbert Behaviour Engineering Model were used to collect data. ResultsThe main influencing factors identified were the telehealth service which supported practice, whilst IT issues provided challenges to clinicians. ConclusionTelehealth services support clinicians when providing burn care, however IT issues are an major barrier to both best practice and accessing the telehealth service and should be optimised to support clinical care Impact statementWhat does this paper contribute to the wider global community? It provides burn clinicians with an insight into the factors which facilitate optimal care for patients prior to transfer to burn units, as well as the barriers faced by non-burn specialist clinicians when patients initially present for care. Models of care which acknowledge these factors can help facilitate optimal patient care.

Effect of Integrating Machine Learning Mortality Estimates With Behavioral Nudges to Clinicians on Serious Illness Conversations Among Patients With Cancer

Serious illness conversations (SICs) are structured conversations between clinicians and patients about prognosis, treatment goals, and end-of-life preferences. Interventions that increase the rate of SICs between oncology clinicians and patients may improve goal-concordant care and patient outcomes. To determine the effect of a clinician-directed intervention integrating machine learning mortality predictions with behavioral nudges on motivating clinician-patient SICs. This stepped-wedge cluster randomized clinical trial was conducted across 20 weeks (from June 17 to November 1, 2019) at 9 medical oncology clinics (8 subspecialty oncology and 1 general oncology clinics) within a large academic health system in Pennsylvania. Clinicians at the 2 smallest subspecialty clinics were grouped together, resulting in 8 clinic groups randomly assigned to the 4 intervention wedge periods. Included participants in the intention-to-treat analyses were 78 oncology clinicians who received SIC training and their patients (N = 14 607) who had an outpatient oncology encounter during the study period. (1) Weekly emails to oncology clinicians with SIC performance feedback and peer comparisons; (2) a list of up to 6 high-risk patients (≥10% predicted risk of 180-day mortality) scheduled for the next week, estimated using a validated machine learning algorithm; and (3) opt-out text message prompts to clinicians on the patient's appointment day to consider an SIC. Clinicians in the control group received usual care consisting of weekly emails with cumulative SIC performance. Percentage of patient encounters with an SIC in the intervention group vs the usual care (control) group. The sample consisted of 78 clinicians and 14 607 patients. The mean (SD) age of patients was 61.9 (14.2) years, 53.7% were female, and 70.4% were White. For all encounters, SICs were conducted among 1.3% in the control group and 4.6% in the intervention group, a significant difference (adjusted difference in percentage points, 3.3; 95% CI, 2.3-4.5; P < .001). Among 4124 high-risk patient encounters, SICs were conducted among 3.6% in the control group and 15.2% in the intervention group, a significant difference (adjusted difference in percentage points, 11.6; 95% CI, 8.2-12.5; P < .001). In this stepped-wedge cluster randomized clinical trial, an intervention that delivered machine learning mortality predictions with behavioral nudges to oncology clinicians significantly increased the rate of SICs among all patients and among patients with high mortality risk who were targeted by the intervention. Behavioral nudges combined with machine learning mortality predictions can positively influence clinician behavior and may be applied more broadly to improve care near the end of life. ClinicalTrials.gov Identifier: NCT03984773.

Characterizing Workflow to Inform Clinical Decision Support Systems in Nursing Homes.

Clinical decision support systems (CDSS) hold promise to influence clinician behavior at the point of care in nursing homes (NHs) and improving care delivery. However, the success of these interventions depends on their fit with workflow. The purpose of this study was to characterize workflow in NHs and identify implications of workflow for the design and implementation of CDSS in NHs. We conducted a descriptive study at 2 NHs in a metropolitan area of the Mountain West Region of the United States. We characterized clinical workflow in NHs, conducting 18 observation sessions and interviewing 15 staff members. A multilevel work model guided our data collection and framework method guided data analysis. The qualitative analysis revealed specific aspects of multilevel workflow in NHs: (a) individual, (b) work group/unit, (c) organization, and (d) industry levels. Data analysis also revealed several additional themes regarding workflow in NHs: centrality of ongoing relationships of staff members with the residents to care delivery in NHs, resident-centeredness of care, absence of memory aids, and impact of staff members' preferences on work activities. We also identified workflow-related differences between the two settings. Results of this study provide a rich understanding of the characteristics of workflow in NHs at multiple levels. The design of CDSS in NHs should be informed by factors at multiple levels as well as the emergent processes and contextual factors. This understanding can allow for incorporating workflow considerations into CDSS design and implementation.

Principles, practices and knowledge of clinicians when assessing febrile children: a qualitative study in Kenya

BackgroundClinicians in low resource settings in malaria endemic regions face many challenges in diagnosing and treating febrile illnesses in children. Given the change in WHO guidelines in 2010 that recommend malaria testing prior to treatment, clinicians are now required to expand the differential when malaria testing is negative. Prior studies have indicated that resource availability, need for additional training in differentiating non-malarial illnesses, and lack of understanding within the community of when to seek care play a role in effective diagnosis and treatment. The objective of this study was to examine the various factors that influence clinician behavior in diagnosing and managing children presenting with fever to health centres in Kenya.MethodsA total of 20 clinicians (2 paediatricians, 1 medical officer, 2 nurses, and 15 clinical officers) were interviewed, working at 5 different government-sponsored public clinic sites in two areas of Kenya where malaria is prevalent. Clinicians were interviewed one-on-one using a structured interview technique. Interviews were then analysed qualitatively for themes.ResultsThe following five themes were identified: (1) Strong familiarity with diagnosis of malaria and testing for malaria; (2) Clinician concerns about community understanding of febrile illness, use of traditional medicine, delay in seeking care, and compliance; (3) Reliance on clinical guidelines, history, and physical examination to diagnose febrile illness and recognize danger signs; (4) Clinician discomfort with diagnosis of primary viral illness leading to increased use of empiric antibiotics; and (5) Lack of resources including diagnostic testing, necessary medications, and training modalities contributes to the difficulty clinicians face in assessing and treating febrile illness in children. These themes persisted across all sites, despite variation in levels of medical care. Within these themes, clinicians consistently expressed a need for reliable basic testing, especially haemograms and bacterial cultures. Clinicians discussed the use of counseling and education to improve community understanding of febrile illness in order to decrease preventable deaths in children.ConclusionResults of this study suggest that since malarial testing has become more widespread, clinicians working in resource-poor environments still face difficulty when evaluating a child with fever, especially when malaria testing is negative. Improving access to additional diagnostics, continuing medical education, and ongoing evaluation and revision of clinical guidelines may lead to more consistent management of febrile illness by providers, and may potentially decrease prescription of unnecessary antibiotics. Additional interventions at the community level may also have an important role in managing febrile illness, however, more studies are needed to identify targets for intervention at both the clinic and community levels.

Attitudes, Beliefs, Practices, and Concerns Among Clinicians Prescribing Opioids in a Large Academic Institution.

Opioid treatment of chronic noncancer pain (CNCP) adds complexity and uncertainty to patient interactions. We sought to assess clinician attitudes, beliefs, practice styles, and concerns around opioid prescribing following the release of the US Centers for Disease Control and Prevention (CDC) guideline for prescribing opioids for chronic pain. E-mailed electronic survey to clinicians at a large academic medical institution. A total of 961 clinicians responded to the survey (response rate = 40%), 720 of whom prescribed opioids and were not in training. Sixty-five percent were physicians, and 35% were nurse practitioners or physician assistants, with a mean age of 47 years (SD ± 11.4 years). Eighty-two percent were reluctant to prescribe opioids for CNCP, and only 47% expressed confidence in their care for CNCP patients. Sixty-seven percent were aware of the CDC guideline, 55% were enrolled in the state Prescription Drug Monitoring Program (PDMP), and 2% always or frequently prescribed naloxone to patients on opioids. Guideline awareness was associated with increased confidence in caring for CNCP patients. Clinicians having knowledge of a patient overdose were 31% more likely to be enrolled in the PDMP (relative rate= 1.31, 95% confidence interval = 1.14-1.52, chi-square = 11.00, P <0.01). Clinicians who knew of a patient overdose event were also more likely to express concern about patient opioid dependence and addiction. Opportunities exist to increase awareness of the CDC guideline and to increase clinician confidence in opioid prescribing. Knowledge of an overdose event may influence clinician behavior and concerns about dependence and addiction.

Recent developments in electronic alerts for acute kidney injury.

Efforts to improve outcomes from acute kidney injury (AKI) have focussed on timely diagnosis and effective delivery of basic patient care. Electronic alerts (e-alerts) for AKI have attracted interest as a tool to facilitate this. Initial feasibility has already been demonstrated; this review will discuss recent advances in alert methodology, implementation beyond single centres and reported effect on outcomes. On-going descriptions of e-alerts highlight increasing variation in both detection algorithms and alert processes. In England, this is being addressed by national rollout of a standardized detection algorithm; recent data have shown this to have good diagnostic performance. In critical care, fully automated detection systems incorporating both serum creatinine and urine output criteria have been developed. A recent randomized trial of e-alerts has also been reported, in which isolated use of a text message e-alert did not affect either clinician behaviour or patient outcome. As e-alerts gain popularity, consideration must be given to both the method of AKI detection and the method by which results are communicated to end-users; these aspects influence the degree of these systems' effectiveness. This approach should be coupled to further work to study the effect on patient outcomes of those interventions that have been demonstrated to influence clinician behaviour.

The (non) use of prioritisation protocols by surgeons

Priority setting and rationing is a dominant feature of contemporary health policy. In New Zealand, clinical priority assessment criteria (CPAC) tools have been developed to make access to elective surgery more equitable and efficient. Research was undertaken to identify how surgeons used these tools in the consultation. Forty-seven consultations with 15 different surgeons have to date been video- and audio-recorded. There were no instances where CPAC tools were explicitly used in the consultation. Drawing on the methodology of conversation analysis and the concept of news delivery as developed by Maynard, this paper argues that the delivery of diagnoses and treatment plans can usefully be seen in part as the delivery of bad or good news. Using three case studies to illustrate the argument, it is suggested that the interactional work required in the delivery of such news challenges the ability of clinicians to use protocols such as CPAC. The analysis sheds light on important consultation processes that need to be more carefully considered when designing interventions to influence clinician behaviour. In order to influence the behaviour of clinicians to achieve policy goals, greater attention needs to be paid to the interactional demands of the consultation process.

A randomized trial comparing two models of web-based training in cognitive–behavioral therapy for substance abuse counselors

This study compared training outcomes obtained by 147 substance abuse counselors who completed eight self-paced online modules on cognitive–behavioral therapy (CBT) and attended a series of four weekly group supervision sessions using Web conferencing software. Participants were randomly assigned to two conditions that systematically varied the degree to which they explicitly promoted adherence to the CBT protocol and the degree of control that they afforded participants over the sequence and relative emphasis of the training curriculum. Outcomes were assessed at baseline and immediately following training. Counselors in both conditions demonstrated similar improvements in CBT knowledge and self-efficacy. Counselors in the low-fidelity condition demonstrated greater improvement on one of three measures of job-related burnout when compared to the high-fidelity condition. The study concludes that it is feasible to implement a technology-based training intervention with a geographically diverse sample of practitioners, that two training conditions applied to these samples of real-world counselors do not produce statistically or clinically significant differences in knowledge or self-efficacy, and that further research is needed to evaluate how a flexible training model may influence clinician behavior and patient outcomes.

Spreading the word, not the infection: Reaching hospitalists about the prevention of antimicrobial resistance

To reach and engage hospitalists in the prevention of antimicrobial resistance, the Society of Hospital Medicine and the Centers for Disease Control and Prevention developed and conducted a quality improvement workshop based on the Centers for Disease Control and Prevention's Campaign to Prevent Antimicrobial Resistance in Healthcare Settings. We aimed to examine motivating factors, perceived barriers, and cues to action for hospitalists to learn about and engage in the prevention of antimicrobial resistance and to determine whether a workshop can facilitate the implementation of a quality improvement project. Using the Health Belief Model as a theoretical framework, we interviewed hospitalists who attended (attendees) and did not attend (nonattendees) the workshop. Data were qualitatively coded and analyzed. Nine attendees and 10 nonattendees participated in interviews. Motivating factors for attending the workshop included an interest in the topic of quality improvement and antimicrobial resistance prevention, the promotion of the workshop by institutions and colleagues, the opportunity to network with colleagues, and the qualifications of the presenter. Barriers to involvement in quality improvement efforts and the prevention of antimicrobial resistance for both attendees and nonattendees included perceived lack of time, other institutional priorities, and lack of administrative and institutional support. Attendees and nonattendees also identified perceived effective and preferred methods for receiving information about antimicrobial resistance, such as workshops and presentations, e-mail, institutional involvement, and the Internet. Overall, attendees thought that the workshop could be effective in facilitating the implementation of a quality improvement project. By considering factors that influence behavioral change, interventions, such as the Society of Hospital Medicine workshop, have the ability to reach and engage clinicians such as hospitalists in quality improvement efforts to prevent antimicrobial resistance and improve adherence to infection control strategies. Furthermore, this study demonstrated that the Health Belief Model can provide an applicable framework for examining factors that influence clinician behavior.

Organisational strategies for changing clinical practice: how trusts are meeting the challenges of clinical governance

Objectives—To describe the use, perceived effectiveness, and predicted future use of organisational strategies for influencing clinicians' behaviour in the approach of NHS trusts to clinical governance, and to ascertain the...

Casemix Management in a New Zealand Hospital: Rationalisation and Resistance

This paper discusses the use of a ‘casemix’ information system to rationalise and scrutinise clinical activity in a corporatised New Zealand hospital. The implementation of the casemix system was part of a management strategy to influence clinician behaviour by making visible the financial implications of clinical decisions. Clinicians were able to resist the application of this comparative surveillance system by challenging or diverting the information produced.