Using Behavioral Insights to Strengthen Strategies for Change. Practical Applications for Quality Improvement in Healthcare.

OBJECTIVES: For over 30 years, quality improvement (QI) methods have been used as a means of increasing the quality and safety of healthcare services, but with mixed success. One explanation highlighted in the literature for this outcome is the overemphasis on technical elements of change, and a failure to fully appreciate the human side of change. Behavioral insights (BI) is an approach that utilizes knowledge and tools from a broad range of scientific disciplines, such as neuroscience and behavioral psychology, to support behavior change. The aim of this paper is to explore the possibility of supplementing QI methods with tools and understanding from BI. METHODS: We outline a practical case that involved applying aspects BI methods into a QI program aimed at reducing the use of intravenous antibiotics in patients accessing services at a busy university hospital in Copenhagen, Denmark. We exemplify how to use BI tools to guide the analysis of staff behaviors during standard clinical processes and develop targeted interventions aimed at increasing actions and behaviors more aligned to best clinical practice. RESULTS: Outcomes suggest that it is possible to combine the models and methods from BI and QI in a way that is helpful in focusing attention on the human side of change when developing strategies for change. Potential psychological barriers identified from the analysis included the following: 'default inertia,' 'decision complexity,' 'risk aversion,' and biases related to confidence, confirmation, and omission. CONCLUSIONS: Future quality improvement projects could benefit from integrating models and tools from BI to guide and support behavior change.

Reaching the Frail Elderly for the Diagnosis and Management of Atrial Fibrillation-REAFEL.

BACKGROUND: Frail elderly patients are exposed to suffering strokes if they do not receive timely anticoagulation to prevent stroke associated to atrial fibrillation (AF). Evaluation in the cardiological ambulatory can be cumbersome as it often requires repeated visits. AIM: To develop and implement CardioShare, a shared-care model where primary care leads patient management, using a compact Holter monitor device with asynchronous remote support from cardiologists. METHODS: CardioShare was developed in a feasibility phase, tested in a pragmatic cluster randomization trial (primary care clinics as clusters), and its implementation potential was evaluated with an escalation test. Mixed methods were used to evaluate the impact of this complex intervention, comprising quantitative observations, semi-structured interviews, and workshops. RESULTS: Between February 2020 and December 2021, 314 patients (30% frail) were included, of whom 75% had AF diagnosed/not found within 13 days; 80% in both groups avoided referral to cardiologists. Patients felt safe and primary care clinicians satisfied. In an escalation test, 58 primary-care doctors evaluated 93 patients over three months, with remote support from four hospitals in the Capital Region of Denmark. CONCLUSIONS: CardioShare was successfully implemented for AF evaluation in primary care.

Successfully reducing newborn asphyxia in the labour unit in a large academic medical centre: a quality improvement project using statistical process control.

BACKGROUND: A safe delivery is part of a good start in life, and a continuous focus on preventing harm during delivery is crucial, even in settings with a good safety record. In January 2013, the labour unit at Copenhagen University Hospital, Hvidovre, undertook a quality improvement (QI) project to prevent asphyxia and reduced the percentage of newborns with asphyxia by 48%. METHODS: The change theory consisted of two primary elements: (1) the clinical content, including three clinical bundles of evidence-based care, a 'delivery bundle', an 'oxytocin bundle' and a 'vacuum extraction bundle'; (2) an implementation theory, including improving skills in interpretation of cardiotocography, use of QI methods and participation in a national learning network. The Model for Improvement and Deming's system of profound knowledge were used as a methodological framework. Data on compliance with the care bundles and the number of deliveries between newborns with asphyxia (Apgar <7 after 5 min or pH <7) were analysed using statistical process control. RESULTS: Compliance with all three clinical care bundles improved to 95% or more, and the percentages of newborns with pH <7 and Apgar <7 after 5 min were reduced by 48% and 31%, respectively. In general, the QI approach strengthened multidisciplinary teamwork, systematised workflow and structured communication around the deliveries. Changes included making a standard memo in the medical record, the use of a bedside whiteboard, bedside handovers, shared decisions with a peer when using an oxytocin infusion and the use of a checklist before vacuum extractions. CONCLUSION: This QI project illustrates how aspects of patient safety, such as the prevention of asphyxia, can be improved using QI methods to more reliably implement best practice, even in high-performing systems.

Maternal use of selective serotonin reuptake inhibitors and risk of miscarriage - assessing potential biases.

BACKGROUND: The use of selective serotonin reuptake inhibitors (SSRIs) during pregnancy has been associated with miscarriage, but the association may be biased by maternal mental illness, lifestyle and exposure misclassification. METHODS: A register study on all pregnancies in Denmark between 1996 and 2009 was conducted using individualised data from the Danish National Patient Register, the Medical Birth Register, the Danish Psychiatric Central Register, the Danish National Prescription database and the Danish National Birth Cohort (DNBC). RESULTS: A total of 1 191164 pregnancies were included in the study, of which 98275 also participated in the DNBC. Pregnancies exposed to SSRIs during or before pregnancy were more likely than unexposed pregnancies to result in first trimester miscarriage, hazard rate (HR)=1.08 [95% confidence interval (CI) 1.04, 1.13] and HR=1.26 [95% CI 1.16, 1.37], respectively. No difference was observed for second trimester miscarriage. SSRI-exposed pregnancies without a maternal depression/anxiety diagnosis from a psychiatric department were less likely to result in first trimester miscarriage than unexposed pregnancies with a diagnosis, HR=0.85 [95% CI 0.76, 0.95]. SSRI-exposed pregnancies were characterised by an unhealthier maternal lifestyle and mental health profile than unexposed pregnancies, whereas no convincing differences were observed between pregnancies exposed to SSRIs during versus before pregnancy. Substantial disagreement was found between prescriptions and self-reported use of SSRIs, but it did not affect the estimated hazard ratios. CONCLUSION: Confounding by indication and lifestyle in pregnancy may explain the association between SSRI use and miscarriage.