The effectiveness of behavioral economics-informed interventions on physician behavioral change: A systematic literature review

Electronic health record-based behaviour change interventions aimed at general practitioners in the UK: a mixed methods systematic review using behaviour change theory

OBJECTIVES

Electronic health record (EHR) systems are used extensively in healthcare; their design can influence clinicians' behaviour. We conducted a systematic review of EHR-based interventions aimed at changing the clinical practice of general practitioners in the UK, assessed their effectiveness and applied behaviour change theory to identify lessons for other settings.

DESIGN

Mixed methods systematic review.

DATA SOURCES

MEDLINE, EMBASE, CENTRAL and APA PsycINFO were searched up to March 2023.

ELIGIBILITY CRITERIA

Quantitative and qualitative findings from randomised controlled trials (RCTs) controlled before-and-after studies and interrupted time series of EHR-based interventions in UK general practice were included.

DATA EXTRACTION AND SYNTHESIS

Quantitative synthesis was based on Cochrane's Synthesis without Meta-analysis. Interventions were categorised using the Behaviour Change Wheel and MINDSPACE frameworks and effectiveness determined by vote-counting using direction of effect. Inductive thematic synthesis was used for qualitative studies.

RESULTS

Database searching identified 3824 unique articles; 10 were included (from 2002 to 2021), comprising eight RCTs and two associated qualitative studies. Four of seven quantitative studies showed a positive effect on clinician behaviour and three on patient-level outcomes. Behaviour change techniques that may trigger emotions and required less cognitive engagement appeared to have positive effects. Qualitative findings indicated that interventions reassured clinicians of their decisions but were sometimes ignored.

CONCLUSION

Despite widespread use, there is little high quality, up-to-date experimental evidence evaluating the effectiveness of EHR-based interventions in UK general practice. The evidence suggested EHR-based interventions may be effective at changing behaviour. Persistent, simple action-oriented prompts appeared more effective than complex interventions requiring greater cognitive engagement. However, studies lacked detail in intervention design and theory behind design choices. Future research should seek to optimise EHR-based behaviour change intervention design and delineate limitations, providing theory-based justification for interventions. This will be of increasing importance with the growing use of EHRs to influence clinicians' decisions.

PROSPERO REGISTRATION NUMBER

CRD42022341009.

A Quality Initiative to Improve Appropriate Medication Dosing in Pediatric Patients with Obesity

Introduction

Emerging evidence supports the use of alternative dosing weights for medications in patients with obesity. Pediatric obesity presents a particular challenge because most medications are dosed based on patient weight. Additionally, building system-wide pediatric obesity safeguards is difficult due to pediatric obesity definitions of body mass index-percentile-for-age via the Center for Disease Control growth charts. We describe a quality initiative to increase appropriate medication dosing in inpatients with obesity. The specific aim was to increase appropriate dosing for 7 high-risk medications in inpatients with obesity ≥2 years old from 37% to >74% and to sustain for 1 year.

Methods

The Institute for Healthcare Improvement model for improvement was used to plan interventions and track outcomes progress. Interventions included a literature review to establish internal dosing guidance, electronic health record (EHR) functionality to identify pediatric patients with obesity, a default selection for medication weight with an opt-out, and obtaining patient heights in the emergency department.

Results

Appropriate dosing weight use in medication ordered for patients with obesity increased from 37% to 83.4% and was sustained above the goal of 74% for 12 months.

Conclusions

Implementation of EHR-based clinical decision support has increased appropriate evidence-based dosing of medications in pediatric and adult inpatients with obesity. Future studies should investigate the clinical and safety implications of using alternative dosing weights in pediatric patients.

Surgical appropriateness nudges: Developing behavioral science nudges to integrate appropriateness criteria into the decision making of spine surgeons

BACKGROUND

Substantial variation exists in surgeon decision making. In response, multiple specialty societies have established criteria for the appropriate use of spine surgery. Yet few strategies exist to facilitate routine use of appropriateness criteria by surgeons. Behavioral science nudges are increasingly used to enhance decision making by clinicians. We sought to design "surgical appropriateness nudges" to support routine use of appropriateness criteria for degenerative lumbar scoliosis and spondylolisthesis.

METHODS

The work reflected Stage I of the NIH Stage Model for Behavioral Intervention Development and involved an iterative, multi-method approach, emphasizing qualitative methods. Study sites included two large referral centers for spine surgery. We recruited spine surgeons from both sites for two rounds of focus groups. To produce preliminary nudge prototypes, we examined sources of variation in surgeon decision making (Focus Group 1) and synthesized existing knowledge of appropriateness criteria, behavioral science nudge frameworks, electronic tools, and the surgical workflow. We refined nudge prototypes via feedback from content experts, site leaders, and spine surgeons (Focus Group 2). Concurrently, we collected data on surgical practices and outcomes at study sites. We pilot tested the refined nudge prototypes among spine surgeons, and surveyed them about nudge applicability, acceptability, and feasibility (scale 1-5, 5 = strongly agree).

RESULTS

Fifteen surgeons participated in focus groups, giving substantive input and feedback on nudge design. Refined nudge prototypes included: individualized surgeon score cards (frameworks: descriptive social norms/peer comparison/feedback), online calculators embedded in the EHR (decision aid/mapping), a multispecialty case conference (injunctive norms/social influence), and a preoperative check (reminders/ salience of information/ accountable justification). Two nudges (score cards, preop checks) incorporated data on surgeon practices and outcomes. Six surgeons pilot tested the refined nudges, and five completed the survey (83%). The overall mean score was 4.0 (standard deviation [SD] 0.5), with scores of 3.9 (SD 0.5) for applicability, 4.1 (SD 0.5) for acceptability, and 4.0 (SD 0.5), for feasibility. Conferences had the highest scores 4.3 (SD 0.6) and calculators the lowest 3.9 (SD 0.4).

CONCLUSIONS

Behavioral science nudges might be a promising strategy for facilitating incorporation of appropriateness criteria into the surgical workflow of spine surgeons. Future stages in intervention development will test whether these surgical appropriateness nudges can be implemented in practice and influence surgical decision making.

Building Learning Healthcare Systems for Critical Care Medicine

Learning healthcare systems are an evolving way of integrating informatics, analytics, and continuous improvement into daily practice in healthcare. This article discusses strategies to build learning healthcare systems for critical care medicine.

Physician factors affecting patient preferences in selecting a primary care provider: A qualitative research study in Singapore

BACKGROUND

Care continuity by a dedicated, well-trained primary care physician (PCP) has shown to improve health outcomes of patients with non-communicable diseases (NCDs). In Singapore's fee-for-service primary care system, patients can choose to consult any PCP in either a public (polyclinic), private (General Practitioners/ GP), or both types of clinics, resulting in potential fragmented care. Decision-making by patients in selecting their preferred PCP remains unclear. This study aims to explore the personal factors influencing the choice of PCP among patients with NCDs in primary care.

METHODS

This qualitative research study was conducted in a typical polyclinic. In-depth interviews were conducted on patients with NCDs. Purposive sampling was implemented to enrol patients who had previously consulted PCPs in polyclinics and GP clinics, garnering their perspectives and experiences of care received from both providers. Interviews were audio-recorded, transcribed, and audited. Data was coded and analysed using thematic content analysis to identify emerging themes. The physician-specific factors which influence patients' decision-making of PCP selection are presented here.

RESULTS

Twenty-one Asian patients aged 38 to 82 years were interviewed. They preferred PCPs with an approachable and genuine demeanour, exhibiting empathy and compassion. They valued the PCPs' verbal, non-verbal and listening skills. Regarding professional qualities, patients wanted PCPs to demonstrate competency and a patient-centred care approach. Some selected their PCP based on compatible age and gender that they felt comfortable with. Establishing good rapport with their PCP and maintaining continuity of care were deemed as major factors in patients' PCP selection.

CONCLUSION

Patients tended to select PCPs based on their personal characteristics, interpersonal skills, professional attributes, demographics, and the physician-patient relationship. PCPs should be aware of these attributes and demonstrate them during their patient interaction. Leveraging on this enables PCPs to build rapport with their patients and maintain care continuity to optimize their health outcomes.

Effect of Best Practice Alert (BPA) on Post-Discharge Opioid Prescribing After Minimally Invasive Hysterectomy: A Quality Improvement Study

Purpose

The aim of this study was to describe the effectiveness of an electronic health record best practice alert (BPA) in decreasing gynecologic post-discharge opioid prescribing following benign minimally invasive hysterectomy.

Patients and Methods

The BPA triggered for opioid orders >15 tablets. Prescribers' options included (1) decrease to 15 ≤ tablets; (2) remove the order/utilize a defaulted order set; or (3) override the alert.

Results

332 patients were included. The BPA triggered 29 times. The following actions were taken among 16 patients for whom the BPA triggered: "override the alert" (n=13); "cancel the alert" (n=2); and 'remove the opioid order set' (n=1). 12/16 patients had discharge prescriptions: one patient received 20 tablets; two received 10 tablets; and nine received 15 tablets. Top reasons for over prescribing included concerns for pain control and lack of alternatives.

Conclusion

Implementing a post-discharge opioid prescribing BPA aligned opioid prescribing following benign minimally invasive hysterectomy with guideline recommendations.

Implementing a Serious Illness Risk Prediction Model: Impact on Goals of Care Documentation

CONTEXT

Goals of care conversations can promote high value care for patients with serious illness, yet documented discussions infrequently occur in hospital settings.

OBJECTIVES

We sought to develop a quality improvement initiative to improve goals of care documentation for hospitalized patients.

METHODS

Implementation occurred at an academic medical center in Pittsburgh, Pennsylvania. Intervention included integration of a 90-day mortality prediction model grouping patients into low, intermediate, and high risk; a centralized goals of care note; and automated notifications and targeted palliative consults. We compared documented goals of care discussions by risk score before and after implementation.

RESULTS

Of the 12,571 patients hospitalized preimplementation and 10,761 postimplementation, 1% were designated high risk and 11% intermediate risk of mortality. Postimplementation, goals of care documentation increased for high (17.6%-70.8%, P< 0.0001) and intermediate risk patients (9.6%-28.0%, P < 0.0001). For intermediate risk patients, the percentage of goals of care documentation performed by palliative medicine specialists increased from pre- to postimplementation (52.3%-71.2%, P = 0.0002). For high-risk patients, the percentage of goals of care documentation completed by the primary service increased from pre-to postimplementation (36.8%-47.1%, P = 0.5898, with documentation performed by palliative medicine specialists slightly decreasing from pre- to postimplementation (63.2%-52.9%, P = 0.5898).

CONCLUSIONS

Implementation of a goals of care initiative using a mortality prediction model significantly increased goals of care documentation especially among high-risk patients. Further study to assess strategies to increase goals of care documentation for intermediate risk patients is needed especially by nonspecialty palliative care.

Can we nudge to reduce the perioperative low value care? Decision making factors influencing safe practice implementation

PURPOSE OF THE REVIEW

Highlight sources of low-value care (LVC) during the perioperative period help understanding the decision making behind its persistence, the barriers for change, and the potential implementation strategies to reduce it.

RECENT FINDINGS

The behavioural economics science spread of use through aligned strategies or nudge units offer an opportunity to improve success in the LVC reduction.

SUMMARY

LVC, such as unneeded surgeries, or preanaesthesia tests for low-risk surgeries in low-risk patients, is a relevant source of waste and preventable harm, most especially in the perioperative period. Despite the international focus on it, initial efforts to reduce it in the last decade have not clearly shown a sustainable improvement. Understanding the shared decision-making process and the barriers to be expected when tackling LVC is the first step to build the change. Applying a structured strategy based on the behavioural science principles may be the path to increasing high value care in an effective an efficient way. It is time to foster nudge units at different healthcare system levels.

Can peer effects explain prescribing appropriateness? a social network analysis

BACKGROUND

Optimizing prescribing practices is important due to the substantial clinical and financial costs of polypharmacy and an increasingly aging population. Prior research shows the importance of social relationships in driving prescribing behaviour. Using social network analysis, we examine the relationship between a physician practices' connectedness to peers and their prescribing performance in two German regions.

METHODS

We first mapped physician practice networks using links established between two practices that share 8 or more patients; we calculated network-level (density, average path length) and node-level measures (degree, betweenness, eigenvector). We defined prescribing performance as the total number of inappropriate medications prescribed or appropriate medications not prescribed (PIMs) to senior patients (over the age of 65) during the calendar year 2016. We used FORTA (Fit fOR The Aged) algorithm to classify medication appropriateness. Negative binomial regression models estimate the association between node-level measures and prescribing performance of physician practices controlling for patient comorbidity, provider specialization, percentage of seniors in practice, and region. We conducted two sensitivity analyses to test the robustness of our findings - i) limiting the network mapping to patients younger than 65; ii) limiting the network ties to practices that share more than 25 patients.

RESULTS

We mapped two patient-sharing networks including 436 and 270 physician practices involving 28,508 and 20,935 patients and consisting of 217,126 and 154,274 claims in the two regions respectively. Regression analyses showed a practice's network connectedness as represented by degree, betweenness, and eigenvector centrality, is significantly negatively associated with prescribing performance (degree-bottom vs. top quartile aRR = 0.04, 95%CI: 0.035,0.045; betweenness-bottom vs. top quartile aRR = 0.063 95%CI: 0.052,0.077; eigenvector-bottom vs. top quartile aRR = 0.039, 95%CI: 0.034,0.044).

CONCLUSIONS

Our study provides evidence that physician practice prescribing performance is associated with their peer connections and position within their network. We conclude that practices occupying strategic positions at the edge of networks with advantageous access to novel information are associated with better prescribing outcomes, whereas highly connected practices embedded in insulated information environments are associated with poor prescribing performance.

When should electronic medical records reminders for cancer screening stop?-Results from a national physician survey

BACKGROUND

Many older adults are screened for breast and colorectal cancers beyond guideline recommended thresholds. Electronic medical record (EMR) reminders are commonly used to prompt cancer screening. Behavioral economics theory suggests that changing the default settings for these reminders can be effective to reduce over-screening. We examined physician perspectives about acceptable thresholds for stopping EMR cancer screening reminders.

METHODS

In a national survey of 1200 primary care physicians (PCP) and 600 gynecologists randomly selected from the AMA Masterfile, we asked physicians to choose whether EMR reminders for cancer screening should stop based on a list of criteria that included age, life expectancy, specific serious illnesses, and functional limitations. Physicians could choose multiple responses. PCPs were randomized to questions about breast or colorectal cancer screening.

RESULTS

A total of 592 physicians participated (adjusted response rate 54.1%). 54.6% chose age and 71.8% chose life expectancy as criteria for stopping EMR reminders; only 30.6% chose functional limitations. Regarding age thresholds, 52.4% chose ages ≤75, 42.0% chose a threshold between 75 and 85, 5.6% would not stop reminders even at age 85. Regarding life expectancy thresholds, 32.0% chose ≥10 years, 53.1% chose a threshold between 5 and 9 years, 14.9% would not stop reminders even when life expectancy is <5 years.

CONCLUSIONS

We found that many physicians would continue EMR reminders for cancer screening even in light of older age, limited life expectancy, and functional limitations. This may reflect reluctance to stop cancer screening and/or reluctance to stop EMR reminders so that physicians can retain control to decide for individual patients, for example, to assess patient preference and ability to tolerate treatment. There was consensus for stopping EMR reminders at ages 85+ and <5-year life expectancy. Interventions that seek to reduce over-screening by suppressing EMR reminders may be important for these groups but may have limited physician buy-in outside these thresholds.

A modelling framework for translating discrete choice experiment results into cost-effectiveness estimates: an application to designing tailored and scalable HIV and contraceptive services for adolescents in Gauteng, South Africa

INTRODUCTION

South African youth and adolescents face a high burden of (Sexually Transmitted Infections) STIs, HIV and unintended pregnancies, but uptake of services remains low. To address this, tailored and scalable interventions are urgently needed. We developed a framework to fill the gap and translate the impact of facility-level attributes into a cost-effectiveness analysis for increasing HIV/contraceptive service uptake in adolescents using a discrete choice experiment (DCE).

METHODS

We used a DCE (n = 805) conducted in Gauteng, South Africa, which found that staff attitude, confidentiality, Wi-Fi, subsidized food, afternoon hours and youth-only services were preferred attributes of health services. Based on this, we simulated the uptake of services adapted for these preferences. We divided preferences into modifiable attributes that could readily be adapted (e.g. Wi-Fi), and challenging to modify (more nuanced attributes that are more challenging to cost and evaluate): staff attitude and estimated the incremental change in the uptake of services using adapted services. Costs for modifiable preferences were estimated using data from two clinics in South Africa (2019 US$). We determined the incremental cost-effectiveness ratio (ICER) for additional adolescents using services of 15 intervention combinations, and report the results of interventions on the cost-effectiveness frontier.

RESULTS

Greatest projected impact on uptake was from friendly and confidential services, both of which were considered challenging to modify (18.5% 95% CI: 13.0%-24.0%; 8.4% 95% CI: 3.0%-14.0%, respectively). Modifiable factors on their own resulted in only small increases in expected uptake. (Food: 2.3% 95% CI: 4.0%-9.00%; Wi-Fi: 3.0% 95% CI: -4.0% to 10.0%; Youth-only services: 0.3% 95% CI: -6.0% to 7.0%; Afternoon services: 0.8% 95% CI: -6.0% to 7.0%). The order of interventions on the cost-effectiveness frontier are Wi-Fi and youth-only services (ICER US$7.01-US$9.78 per additional adolescent utilizing HIV and contraceptive services), Wi-Fi, youth-only services and food (ICER US$9.32-US$10.45), followed by Wi-Fi, youth-only services and extended afternoon hours (ICER US$14.46-US$43.63).

CONCLUSIONS

Combining DCE results and costing analyses within a modelling framework provides an innovative way to inform decisions on effective resource utilization. Modifiable preferences, such as Wi-Fi provision, youth-only services and subsidized food, have the potential to cost-effectively increase the proportion of adolescents accessing HIV and contraceptive services.

Translating theory into clinical practice: a qualitative study of clinician perspectives implementing whole person care

Whole Person Care (WPC) is an emerging framework that emphasises the clinician's role in empowering patient healing. However, reliably translating a framework's theory into practice is a recognised challenge for clinicians. Observational studies have revealed discrepancies between a clinician's stated values in theory and how these may be implemented in practice. The aim of this qualitative study is to bridge the gap between the theory of WPC and its practical implementation by clinicians. We interviewed a diverse group of 34 clinicians attending the 2017 International Whole Person Care Congress to explore (1) their conceptions of WPC in theory as well as (2) how they monitor their practice in real time. Data were analysed using Grounded Theory Methodology. Preliminary results were presented in the form of a workshop at the 2019 International Whole Person Care Congress to validate our findings with relevant stakeholders. The results revealed a vision of WPC that highlighted themes of the clinician's way of being, seeing the person beyond the disease, and the clinician-patient relationship. Our results demonstrate that clinicians use a range of strategies to monitor their practice in real time. Mindfulness and self-awareness were frequently cited as being crucial to this ability of self-regulating their practice. This study helps establish a unifying framework of WPC based on a diverse range of clinician-reported experiences. More importantly, it sheds light on the range of strategies employed by clinicians who monitor their practice in real time. These collected insights will be of interest to any clinician interested in translating their stated values into their clinical practice more reliably.

Clinics Optimizing MEthadone Take-homes for opioid use disorder (COMET): Protocol for a stepped-wedge randomized trial to facilitate clinic level changes

INTRODUCTION

Regulatory changes made during the COVID-19 public health emergency (PHE) that relaxed criteria for take-home dosing (THD) of methadone offer an opportunity to improve quality of care with a lifesaving treatment. There is a pressing need for research to study the long-term effects of the new PHE THD rules and to test data-driven interventions to promote more effective adoption by opioid treatment programs (OTPs). We propose a two-phase project to develop and test a multidimensional intervention for OTPs that leverages information from large State administrative data.

METHODS AND ANALYSIS

We propose a two-phased project to develop then test a multidimensional OTP intervention to address clinical decision making, regulatory confusion, legal liability concerns, capacity for clinical practice change, and financial barriers to THD. The intervention will include OTP THD specific dashboards drawn from multiple State databases. The approach will be informed by the Health Equity Implementation Framework (HEIF). In phase 1, we will employ an explanatory sequential mixed methods design to combine analysis of large state administrative databases-Medicaid, treatment registry, THD reporting-with qualitative interviews to develop and refine the intervention. In phase 2, we will conduct a stepped-wedge trial over three years with 36 OTPs randomized to 6 cohorts of a six-month clinic-level intervention. The trial will test intervention effects on OTP-level implementation outcomes and patient outcomes (1) THD use; 2) retention in care; and 3) adverse healthcare events). We will specifically examine intervention effects for Black and Latinx clients. A concurrent triangulation mixed methods design will be used: quantitative and qualitative data collection will occur concurrently and results will be integrated after analysis of each. We will employ generalized linear mixed models (GLMMs) in the analysis of stepped-wedge trials. The primary outcome will be weekly or greater THD. The semi-structured interviews will be transcribed and analyzed with Dedoose to identify key facilitators, barriers, and experiences according to HEIF constructs using directed content analysis.

DISCUSSION

This multi-phase, embedded mixed methods project addresses a critical need to support long-term practice changes in methadone treatment for opioid use disorder following systemic changes emerging from the PHE-particularly for Black and Latinx individuals with opioid use disorder. By combining findings from analyses of large administrative data with lessons gleaned from qualitative interviews of OTPs that were flexible with THD and those that were not, we will build and test the intervention to coach clinics to increase flexibility with THD. The findings will inform policy at the local and national level.

Effectiveness of non-interruptive nudge interventions in electronic health records to improve the delivery of care in hospitals: a systematic review

OBJECTIVES

To describe the application of nudges within electronic health records (EHRs) and their effects on inpatient care delivery, and identify design features that support effective decision-making without the use of interruptive alerts.

MATERIALS AND METHODS

We searched Medline, Embase, and PsychInfo (in January 2022) for randomized controlled trials, interrupted time-series and before-after studies reporting effects of nudge interventions embedded in hospital EHRs to improve care. Nudge interventions were identified at full-text review, using a pre-existing classification. Interventions using interruptive alerts were excluded. Risk of bias was assessed using the ROBINS-I tool (Risk of Bias in Non-randomized Studies of Interventions) for non-randomized studies or the Cochrane Effective Practice and Organization of Care Group methodology for randomized trials. Study results were summarized narratively.

RESULTS

We included 18 studies evaluating 24 EHR nudges. An improvement in care delivery was reported for 79.2% (n = 19; 95% CI, 59.5-90.8) of nudges. Nudges applied were from 5 of 9 possible nudge categories: change choice defaults (n = 9), make information visible (n = 6), change range or composition of options (n = 5), provide reminders (n = 2), and change option-related effort (n = 2). Only one study had a low risk of bias. Nudges targeted ordering of medications, laboratory tests, imaging, and appropriateness of care. Few studies evaluated long-term effects.

DISCUSSION

Nudges in EHRs can improve care delivery. Future work could explore a wider range of nudges and evaluate long-term effects.

CONCLUSION

Nudges can be implemented in EHRs to improve care delivery within current system capabilities; however, as with all digital interventions, careful consideration of the sociotechnical system is crucial to enhance their effectiveness.

Determinants of Blood Culture Use in Critically Ill Children: A Multicenter Qualitative Study

Blood cultures are fundamental in diagnosing and treating sepsis in the pediatric intensive care unit (PICU), but practices vary widely. Overuse can lead to false positive results and unnecessary antibiotics. Specific factors underlying decisions about blood culture use and overuse are unknown. Therefore, we aimed to identify perceived determinants of blood culture use in the PICU.

Methods

We conducted semistructured interviews of clinicians (M.D., D.O., R.N., N.P., P.A.) from 6 PICUs who had participated in a quality improvement collaborative about blood culture practices. We developed interview questions by combining elements of the Consolidated Framework for Implementation Research and behavioral economics. We conducted telephone interviews, open-coded the transcripts, and used modified content analysis to determine key themes and mapped themes to elements of Consolidated Framework for Implementation Research and behavioral economics.

Results

We reached thematic saturation in 24 interviews. Seven core themes emerged across 3 Consolidated Framework for Implementation Research domains: individual characteristics [personal belief in the importance of blood cultures, the perception that blood cultures are a low-risk test]; inner setting [adherence to site-specific usual practices, site-specific overall approach to PICU care (collaborative versus hierarchical), influence of non-PICU clinicians on blood culture decisions]; and outer setting [patient-specific risk factors, sepsis guidelines]. In addition, outcome bias, default bias, and loss aversion emerged as salient behavioral economics concepts.

Conclusions

Determinants of blood culture use include individual clinician characteristics, inner setting, and outer setting, as well as default bias, outcome bias, and loss aversion. These determinants will now inform the development of candidate strategies to optimize culture practices.

Effect of Information Intervention on Prescribing Practice for Neuropathic Pain in Older Patients: A Nationwide Register-Based Study

INTRODUCTION

Management of prescription medicines is challenging for older patients due to frail health and the prevalence of multiple chronic conditions. A salient policy challenge of prescribing practices is that all physicians are not well informed about the national clinical guidelines. A feasible policy intervention to mitigate the harms caused by Potentially Inappropriate Medications is to influence the frequency of prescribing and other prescribing attributes of the drugs by providing accurate and up-to-date information about the national clinical guidelines.

OBJECTIVES

The objective of this study was to examine the effect of a nationwide information intervention on physicians' prescribing practices and patients' healthcare utilization.

METHODS

We used a quasi-experimental research design based on difference-in-differences variation and nationwide register data on prescribers and purchasers of pregabalin, nortriptyline, and amitriptyline combinations in Finland between January 2018 and May 2019. The study included 68,914 patients and 11,432 physicians.

RESULTS

We found that the information letter sent to all prescribers of pregabalin, nortriptyline, or amitriptyline combinations to patients aged 75 years or older decreased the probability of prescribing of these medications. The estimated effect of - 3.3 percentage points (95% confidence interval [- 0.041, - 0.024]) corresponds to a 29% reduction compared to the baseline mean of the outcome. The filled quantity, measured in Defined Daily Doses, of pregabalin, nortriptyline, and amitriptyline combinations per month was reduced by 11.7% [- 14.5% to - 8.9%] among patients aged 75 years or older. No effect on patients' healthcare utilization was observed.

CONCLUSIONS

Findings of the study suggest that personal information intervention was an effective policy tool for nudging physicians to reduce prescribing of potentially inappropriate medicines, whereas the reduction in prescribing was not accompanied by improvements or adverse effects in patients' health.

Care for the Cancer Caregiver: a Qualitative Study of Facilitators and Barriers to Caregiver Integration and Support

Informal family caregivers are critically important for patient care throughout the cancer care trajectory. Family-centered care, which seeks to integrate family members as experts, is a framework that values partnerships with family members and can benefit both the physical and psychosocial health of patients. However, little standardization or system-level implementation of family-centered care models to integrate and support family caregivers have emerged in adult oncology care settings in the USA. To better understand potential barriers and facilitators to the integration and support of family caregivers in cancer care settings, we conducted semi-structured interviews with informal family caregivers (n = 12) and members of the cancer center leadership team and health care providers (n = 11) at an NCI-designated Comprehensive Cancer Center. We frame our results using the social ecological model and identified facilitators and barriers at the individual, interpersonal, and system level. While caregivers and team members were able to identify facilitators and barriers at the individual (i.e., caregivers are motivated to learn, but overwhelmed and focused only on the patient) and interpersonal levels (i.e., relationships are a valuable resource, but communication is sometimes challenging), team members were more likely to identify system-level barriers (i.e., constraints within the larger healthcare structure). To implement family-centered care in cancer settings, it is incumbent on the healthcare system to pursue standardization of communication, programs that facilitate family integration and support, and advocate for policy change. Barriers must be addressed at multiple levels to provide inclusive and supportive environments for all patients and their families.

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.

Behavioral Economics Interventions to Improve Medical Decision-Making

BACKGROUND

In medicine, a wide gap exists between the medical care that ought to be possible in the light of the current state of medical research and the care that is actually provided. Behavioral biases and noise are two major reasons for this.

METHODS

We present the findings of a selective literature review and illustrate how interventions based on behavioral economics can help physicians make better decisions and thereby improve treatment outcomes.

RESULTS

A number of behavioral economics interventions, making use of, for example, default settings, active decision rules, social norms, and self-commitments, may improve physicians' clinical decision-making. Evidence on long-term effects is, however, mostly lacking.

CONCLUSION

Despite their apparent potential, the application of behavioral economic interventions to improve medical decisionmaking is still in its infancy, particularly in Germany.

Effect of Different Interventions to Help Primary Care Clinicians Avoid Unsafe Opioid Prescribing in Opioid-Naive Patients With Acute Noncancer Pain: A Cluster Randomized Clinical Trial

Importance

Prescription opioids can treat acute pain in primary care but have potential for unsafe use and progression to prolonged opioid prescribing.

Objective

To compare clinician-facing interventions to prevent unsafe opioid prescribing in opioid-naive primary care patients with acute noncancer pain.

Design Setting and Participants

We conducted a multisite, cluster-randomized, 2 × 2 factorial, clinical trial in 3 health care systems that comprised 48 primary care practices and 525 participating clinicians from September 2018 through January 2021. Patient participants were opioid-naive outpatients, 18 years or older, who presented for a qualifying clinic visit with acute noncancer musculoskeletal pain or nonmigraine headache.

Interventions

Practices randomized to: (1) control; (2) opioid justification; (3) monthly clinician comparison emails; or (4) opioid justification and clinician comparison. All groups received opioid prescribing guidelines via the electronic health record at the time of a new opioid prescription.

Main Outcomes and Measures

Primary outcome measures were receipt of an initial opioid prescription at the qualifying clinic visit. Other outcomes were opioid prescribing for more than 3 months and a concurrent opioid/benzodiazepine prescription over 12-month follow-up.

Results

Among 22 616 enrolled patient participants (9740 women [43.1%]; 64 American Indian/Alaska Native [0.3%]; 590 Asian [2.6%], 1120 Black/African American [5.0%], 1777 Hispanic [7.9%], 225 Native Hawaiian/Pacific Islander [1.0%], and 18 981 White [83.9%] individuals), the initial opioid prescribing rates at the qualifying clinic visit were 3.1% in the total sample, 4.2% in control, 3.6% in opioid justification, 2.6% in clinician comparison, and 1.9% in opioid justification and clinician comparison. Compared with control, the adjusted odds ratio (aOR) for a new opioid prescription was 0.74 (95% CI, 0.46-1.18; P = .20) for opioid justification and 0.60 (95% CI, 0.38-0.96; P = .03) for clinician comparison. Compared with control, clinician comparison was associated with decreased odds of opioid therapy of more than 3 months (aOR, 0.79; 95% CI, 0.69-0.91; P = .001) and concurrent opioid/benzodiazepine prescription (aOR, 0.85; 95% CI, 0.72-1.00; P = .04), whereas opioid justification did not have a significant effect.

Conclusions and Relevance

In this cluster randomized clinical trial, comparison emails decreased the proportion of opioid-naive patients with acute noncancer pain who received an opioid prescription, progressed to treatment with long-term opioid therapy, or were exposed to concurrent opioid and benzodiazepine therapy. Health care systems can consider adding clinician-targeted nudges to other initiatives as an efficient, scalable approach to further decrease potentially unsafe opioid prescribing.

Trial Registration

ClinicalTrials.gov Identifier: NCT03537573.

The power of proximity: Effects of a multidisciplinary fibroid clinic on inter-specialty perceptions and practice patterns

Background

Multidisciplinary collaboration has generally been shown to have positive effects on healthcare but can be difficult to facilitate. This study assessed the effects of a multidisciplinary fibroid clinic on practice patterns and clinician perceptions to better understand drivers of interspecialty collaboration.

Materials and methods

Annual rates of hysterectomies, myomectomies, and uterine fibroid embolizations (UFEs) performed in an urban healthcare system were collected from 2012–2019. Rates of each procedure were compared over time before and after launching a multidisciplinary fibroid clinic at the academic medical center. Referral rates were also compared. The gynecologists and interventional radiologists (IRs) involved in the clinic were interviewed 2 years prior to and after the clinic launch about their approaches to fibroids and perceptions of others who treat this condition. A phenomenological approach was used to identify and compare themes within the interviews by two researchers with excellent inter-rater agreement (κ = 0.80).

Results and discussion

Annual rates of fibroid procedures increased over time (p<0.01) but the relative number of UFEs decreased (p = 0.01). UFE referrals by the clinic gynecologists significantly increased as did the number of combined fibroid procedures (p<0.01). However, the rates of one fibroid procedure relative to others were not different between the clinic and rest of the healthcare system (p = 0.55). Specialty-specific perceptions of fibroid treatments and inter-specialty dynamics did not change. Despite this, clinicians unanimously perceived the clinic and post-clinic practice patterns as positive and distinct from their previous work and relationships between gynecology and IR elsewhere. Limitations of this study included its single clinic design and potential confounder of differences in advertising pre- versus post-clinic.

Conclusion

Creating the right practice environment may be more important for fostering inter-specialty collaboration and work satisfaction than shared mental models or procedural volumes in certain practice settings.

Context-Dependent Risk & Benefit Sensitivity Mediate Judgments About Cognitive Enhancement

Opinions about cognitive enhancement (CE) are context-dependent. Prior research has demonstrated that factors like peer pressure, the influence of authority figures, competition, moral relevance, familiarity with enhancement devices, expertise, and the domain of CE to be enhanced can influence opinions. The variability and malleability of patient, expert, and public attitudes toward CE is important to describe and predict because these attitudes can influence at-home, clinical, research, and regulatory decisions. If individual preferences vary, they could influence opinions about practices and regulations due to disagreements about the desirable levels of risks and benefits. The study of attitudes about CE would benefit from psychological theories that explain judgments. In particular, we suggest that variability in risk and benefit sensitivity could psychologically mediate judgments about CE in many contexts. Drawing from prospect theory, which originated in behavioral economics, it is likely that framing effects, shifted reference points, and the tendency to weigh losses (risks) more heavily than gains (benefits) predict decisions about CE. We suggest that public policy could benefit from a shared conceptual framework, such as prospect theory, that allows us to describe and predict real-world decisions about CE by patients, experts, and the public.

Behavioral and Psychological Aspects of the Physician Experience with Deimplementation

INTRODUCTION

Deimplementation, or the structured elimination of non-evidence-based practices, faces challenges distinct from those associated with implementation efforts. These barriers may be related to intrinsic psychological factors, as perceptions and emotions surrounding the discontinuation of established practices appear to differ from those associated with practice adoption. This study aims to explore barriers and facilitators experienced by pediatric clinicians engaging in deimplementation projects.

METHODS

We used behavioral economics concepts to inform our qualitative study design following a theory-informed inductive approach. We conducted semistructured interviews with participants from two national quality improvement collaboratives where the primary outcomes were deimplementation measures. Using purposeful sampling, we recruited project leaders at institutions in the top and bottom quartiles from within each collaborative. Finally, we conducted a thematic analysis using a combination of inductive and deductive coding.

RESULTS

In total, we interviewed participants from 12 high-performing sites and 7 low-performing sites. Participants identified nine concepts associated with successful deimplementation practice and three psychological barriers that impacted behavior change: (1) loss, (2) fear, and (3) action bias. Participants further identified four overarching strategies for mitigating the identified psychological barriers, including (1) making allowance for nonconformism; (2) permission to change; (3) normalizing; and (4) reframing.

CONCLUSION

There is potential for more effective deimplementation through the proactive incorporation of an awareness of specific psychological barriers of loss, fear, and action bias, as well as specific mitigation strategies to address the psychocognitive experience.

Protocol for pragmatic randomised trial: integrating electronic health record-based behavioural economic 'nudges' into the electronic health record to reduce preoperative testing for patients undergoing cataract surgery

INTRODUCTION

Robust randomised trial data have shown that routine preoperative (pre-op) testing for cataract surgery patients is inappropriate. While guidelines have discouraged testing since 2002, cataract pre-op testing rates have remained unchanged since the 1990s. Given the challenges of reducing low-value care despite strong consensus around the evidence, innovative approaches are needed to promote high-value care. This trial evaluates the impact of an interdisciplinary electronic health record (EHR) intervention that is informed by behavioural economic theory.

METHODS AND ANALYSIS

This pragmatic randomised trial is being conducted at UCLA Health between June 2021 and June 2022 with a 12-month follow-up period. We are randomising all UCLA Health physicians who perform pre-op visits during the study period to one of the three nudge arms or usual care. These three nudge alerts address (1) patient harm, (2) increased out-of-pocket costs for patients and (3) psychological harm to the patients related to pre-op testing. The nudges are triggered when a physician starts to order a pre-op test. We hypothesise that receipt of a nudge will be associated with reduced pre-op testing. The primary outcome will be the change in the percentage of patients undergoing pre-op testing at 12 months. Secondary outcomes will include the percentage of patients undergoing specific categories of pre-op tests (labs, EKGs, chest X-rays (CXRs)), the efficacy of each nudge, same-day surgery cancellations and cost savings.

ETHICS AND DISSEMINATION

The study protocol was approved by the institutional review board of the University of California, Los Angeles as well as a nominated Data Safety Monitoring Board. If successful, we will have created a tool that can be disseminated rapidly to EHR vendors across the nation to reduce inappropriate testing for the most common low-risk surgical procedures in the country.

TRIAL REGISTRATION NUMBER

ClinicalTrials.gov identifier: NCT04104256.

Behavioral Economics and Ambulatory Antibiotic Stewardship: A Narrative Review

PURPOSE

Behavioral economics recognizes that contextual, psychological, social, and emotional factors powerfully influence decision-making. Behavioral economics has the potential to provide a better understanding of, and, through subtle environmental changes, or "nudges," improve persistent quality-of-care challenges, like ambulatory antibiotic overprescribing. Despite decades of admonitions and educational initiatives, in the United States, up to 50% of ambulatory antibiotic prescriptions remain inappropriate or not associated with a diagnosis.

METHODS

We conducted a Medline search and performed a narrative review that examined the use of behavioral economics to understand the rationale for, and improvement of, ambulatory antibiotic prescribing.

FINDINGS

Clinicians prescribe antibiotics inappropriately because of perceived patient demand, to maintain patient satisfaction, diagnostic uncertainty, or time pressure, among other reasons. Behavioral economics-informed approaches offer additional improvements in antibiotic prescribing beyond clinician education and communication training. Precommitment, in which clinicians publicize their intent to prescribe antibiotics "only when they are absolutely necessary," leverages clinicians' self-conception and a desire to act in a manner consistent with public statements. Precommitment was associated with a 20% absolute reduction in the inappropriate antibiotic prescribing for acute respiratory infections. Justification alerts, in which clinicians must provide a brief written rationale for prescribing antibiotics, leverages social accountability, redefines the status quo as an active choice, and helps clinicians to shift from fast to slow, careful thinking. With justification alerts, the absolute rate of inappropriate antibiotic prescribing decreased from 23% to 5%. Peer comparison, in which clinicians receive feedback comparing their performance to their top-performing peers, provides evidence of improved performance and leverages peoples' desire to conform to social norms. Peer comparison decreased absolute inappropriate antibiotic prescribing rates from 20% to 4%, a decrease that persisted for 12 months after the end of the intervention. Also, a one-time peer-comparison letter from a high-profile messenger to primary care practices with high rates of prescribing antibiotics, there was a 6-month, 3% decrease inantibiotic prescribing. Future directions in applying behavioral economics to the inappropriate antibiotic prescribing include paying careful attention to design details; improving intervention effectiveness and durability; making harms salient; participants' involvement in the development of interventions (the "Ikea effect"); factoring in patient satisfaction; and patient-facing nudges about antibiotic use and care-seeking. In addition, the COVID pandemic could aid in ambulatory antibiotic prescribing improvements due to changing cognitive frames around respiratory symptom evaluation and antibiotic prescribing.

IMPLICATIONS

To improve ambulatory antibiotic prescribing, several behavioral economics-informed approaches-especially precommitment, justification alerts, and peer comparison-have reduced the rates of inappropriate prescribing of antibiotics to low levels.

The Effects of Behavioral Economics-based Nudge on Online Scheduling and Appointment Completion: Observational Study (Preprint)

Background

Behavioral economics–based techniques have been an increasingly utilized method in health care to influence behavior change by modifying language in patient communication (through choice architecture and the framing of words). Patient portals are a key tool for facilitating patient engagement in their health, and interventions deployed via patient portals have been effective in improving utilization of preventive health services.

Objective

We examined the impacts of behavioral economics–based nudge health maintenance reminders on appointment scheduling through a patient portal and appointment completion for 2 preventive services: Medicare wellness visits and Pap smear.

Methods

We conducted a retrospective observational study using electronic health record data from an integrated health care system in Northern California. Nudge health maintenance reminders with behavioral economics–based language were implemented for all sites in November 2017 for Medicare wellness visits and for selected sites in February 2018 for Pap smears. We analyzed 125,369 health maintenance reminders for Medicare wellness visits, and 585,358 health maintenance reminders for Pap smear sent between January 2017 and February 2020. The primary outcomes were rate of appointments scheduled through the patient portal and appointment completion rate. We compared the outcomes between those who received the new, behavioral economics–based health maintenance reminders (the nudge group) and those who received the original, standard health maintenance reminders (the control group). We used segmented regression with interrupted time series to assess the immediate and gradual effect of the nudge for Medicare wellness visits, and we used logistic regression to assess the association of nudge health maintenance reminders, adjusting for the propensity to receive a nudge health maintenance reminder, for Pap smear.

Results

The rates of appointments scheduled through the patient portal were higher for nudge health maintenance reminder recipients than those for control health maintenance reminder recipients (Medicare wellness visits—nudge: 12,537/96,839, 13.0%; control: 2,769/28,530, 9.7%, P<.001; Pap smear—nudge: 8,239/287,149, 2.9%; control: 1,868/120,047, 1.6%; P<.001). Rates of appointment completion were higher for nudge health maintenance reminders for Pap smear (nudge: 67,399/287,149, 23.5% control: 20,393/120,047, 17.0%; P<.001) but were comparable for Medicare wellness visits (nudge: 49,835/96,839, 51.5% control: 14,781/28,530, 51.8%; P=.30). There was a marginally gradual effect of nudge on number of appointments scheduled through the patient portal for the overall Medicare wellness visits sample (at a monthly rate of 0.26%, P=.09), and a significant gradual effect among scheduled appointments (at a monthly rate of 0.46%, P=.04). For Pap smear, nudge health maintenance reminders were positively associated with number of appointments scheduled through the patient portal (overall sample: propensity adjusted odds ratio [OR] 1.62; 95% CI 1.50-1.74; among scheduled appointments: propensity adjusted OR 1.61, 95% CI 1.47-1.76) and with appointment completion (propensity adjusted OR 1.07; 1.04-1.10).

Conclusions

Nudges, a behavioral economics–based approach to providing health maintenance reminders, increased the number of appointments scheduled through the patient portal for Medicare wellness visits and Pap smear. Our study demonstrates that a simple approach—framing and modifying language in an electronic message—can have a significant and long-term impact on patient engagement and access to care.

Systematic review of clinician-directed nudges in healthcare contexts

OBJECTIVE

Nudges are interventions that alter the way options are presented, enabling individuals to more easily select the best option. Health systems and researchers have tested nudges to shape clinician decision-making with the aim of improving healthcare service delivery. We aimed to systematically study the use and effectiveness of nudges designed to improve clinicians' decisions in healthcare settings.

DESIGN

A systematic review was conducted to collect and consolidate results from studies testing nudges and to determine whether nudges directed at improving clinical decisions in healthcare settings across clinician types were effective. We systematically searched seven databases (EBSCO MegaFILE, EconLit, Embase, PsycINFO, PubMed, Scopus and Web of Science) and used a snowball sampling technique to identify peer-reviewed published studies available between 1 January 1984 and 22 April 2020. Eligible studies were critically appraised and narratively synthesised. We categorised nudges according to a taxonomy derived from the Nuffield Council on Bioethics. Included studies were appraised using the Cochrane Risk of Bias Assessment Tool.

RESULTS

We screened 3608 studies and 39 studies met our criteria. The majority of the studies (90%) were conducted in the USA and 36% were randomised controlled trials. The most commonly studied nudge intervention (46%) framed information for clinicians, often through peer comparison feedback. Nudges that guided clinical decisions through default options or by enabling choice were also frequently studied (31%). Information framing, default and enabling choice nudges showed promise, whereas the effectiveness of other nudge types was mixed. Given the inclusion of non-experimental designs, only a small portion of studies were at minimal risk of bias (33%) across all Cochrane criteria.

CONCLUSIONS

Nudges that frame information, change default options or enable choice are frequently studied and show promise in improving clinical decision-making. Future work should examine how nudges compare to non-nudge interventions (eg, policy interventions) in improving healthcare.