Developing a complex intervention to improve prescribing safety in primary care:mixed methods feasibility and optimisation pilot study

Objectives (A) To measure the extent to which different candidate outcome measures identified high-risk prescribing that is potentially changeable by the data-driven quality improvement in primary care (DQIP) intervention.(B) To explore the value of reviewing identified high-risk prescribing to clinicians.(C) To optimise the components of the DQIP intervention.  Design Mixed method study.  Setting General practices in two Scottish Health boards.  Participants 4 purposively sampled general practices of varying size and socioeconomic deprivation.  Outcome measures Prescribing measures targeting (1) high-risk use of the non-steroidal anti-inflammatory drugs (NSAIDs) and antiplatelets; (2) ‘Asthma control’ and (3) ‘Antithrombotics in atrial fibrillation (AF)’.  Intervention The prescribing measures were used to identify patients for review by general practices. The ability of the measures to identify potentially changeable high-risk prescribing was measured as the proportion of patients reviewed where practices identified a need for action. Field notes were recorded from meetings between researchers and staff and key staff participated in semistructured interviews exploring their experience of the piloted intervention processes.  Results Practices identified a need for action in 68%, 25% and 18% of patients reviewed for prescribing measures (1), (2) and (3), respectively. General practitioners valued being prompted to review patients, and perceived that (1) ‘NSAID and antiplatelet’ and (2) ‘antithrombotics in AF’ were the most important to act on. Barriers to initial and ongoing engagement and to sustaining improvements in prescribing were identified.  Conclusions ‘NSAIDs and antiplatelets’ measures were selected as the most suitable outcome measures for the DQIP trial, based on evidence of this prescribing being more easily changeable. In response to the barriers identified, the intervention was designed to include a financial incentive, additional ongoing feedback on progress and reprompting review of patients, whose high-risk prescribing was restarted after a decision to stop.  Trial registration number Clinicaltrials.govNCT01425502

Development of an international standard set of outcome measures for patients with atrial fibrillation: a report of the International Consortium for Health Outcomes Measurement (ICHOM) atrial fibrillation working group.

AIMS: As health systems around the world increasingly look to measure and improve the value of care that they provide to patients, being able to measure the outcomes that matter most to patients is vital. To support the shift towards value-based health care in atrial fibrillation (AF), the International Consortium for Health Outcomes Measurement (ICHOM) assembled an international Working Group (WG) of 30 volunteers, including health professionals and patient representatives to develop a standardized minimum set of outcomes for benchmarking care delivery in clinical settings. METHODS AND RESULTS: Using an online-modified Delphi process, outcomes important to patients and health professionals were selected and categorized into (i) long-term consequences of disease outcomes, (ii) complications of treatment outcomes, and (iii) patient-reported outcomes. The WG identified demographic and clinical variables for use as case-mix risk adjusters. These included baseline demographics, comorbidities, cognitive function, date of diagnosis, disease duration, medications prescribed and AF procedures, as well as smoking, body mass index (BMI), alcohol intake, and physical activity. Where appropriate, and for ease of implementation, standardization of outcomes and case-mix variables was achieved using ICD codes. The standard set underwent an open review process in which over 80% of patients surveyed agreed with the outcomes captured by the standard set. CONCLUSION: Implementation of these consensus recommendations could help institutions to monitor, compare and improve the quality and delivery of chronic AF care. Their consistent definition and collection, using ICD codes where applicable, could also broaden the implementation of more patient-centric clinical outcomes research in AF

Deepr: A Convolutional Net for Medical Records

Feature engineering remains a major bottleneck when creating predictive systems from electronic medical records. At present, an important missing element is detecting predictive regular clinical motifs from irregular episodic records. We present Deepr (short for Deep record), a new end-to-end deep learning system that learns to extract features from medical records and predicts future risk automatically. Deepr transforms a record into a sequence of discrete elements separated by coded time gaps and hospital transfers. On top of the sequence is a convolutional neural net that detects and combines predictive local clinical motifs to stratify the risk. Deepr permits transparent inspection and visualization of its inner working. We validate Deepr on hospital data to predict unplanned readmission after discharge. Deepr achieves superior accuracy compared to traditional techniques, detects meaningful clinical motifs, and uncovers the underlying structure of the disease and intervention space

Optimizing adherence and persistence to non-vitamin K antagonist oral anticoagulant therapy in atrial fibrillation

Atrial fibrillation (AF) is associated with an increased risk of stroke, which can be prevented by the use of oral anticoagulation. Although non-vitamin K antagonist oral anticoagulants (NOACs) have become the first choice for stroke prevention in the majority of patients with non-valvular AF, adherence and persistence to these medications remain suboptimal, which may translate into poor health outcomes and increased healthcare costs. Factors influencing adherence and persistence have been suggested to be patient-related, physician-related, and healthcare system-related. In this review, we discuss factors influencing patient adherence and persistence to NOACs and possible problem solving strategies, especially involving an integrated care management, aiming for the improvement in patient outcomes and treatment satisfaction

The role of clinical decision support systems in preventing stroke in primary care: a systematic review.

Computerized clinical decision support systems (CDSS) are increasingly being used to facilitate the role of clinicians in complex decision-making processes. This systematic review evaluates evidence of the available CDSS developed and tested to support the decision-making process in primary healthcare for stroke prevention and barriers to practical implementations in primary care settings. A systematic search of Web of Science, Medline Ovid, Embase Ovid, and Cinahl was done. A total of five studies, experimental and observational, were synthesised in this review. This review found that CDSS facilitate decision-making processes in primary health care settings in stroke prevention options. However, barriers were identified in designing, implementing, and using the CDSS

Opportunistic screening for atrial fibrillation by clinical pharmacists in UK general practice during the influenza vaccination season: a cross-sectional feasibility study

Background: Growing prevalence of atrial fibrillation (AF) in the ageing population, and its associated life-changing health and resource implications, have led to a need to improve its early detection. Primary care is an ideal place to screen for AF, however this is limited by shortages in general practitioner (GP) resources. Recent increases in the number of clinical pharmacists within primary care, makes them ideally placed to conduct AF screening. This study aimed to determine the feasibility of GP practice-based clinical pharmacists to screen the over 65s for AF, using digital technology and pulse palpation during the influenza vaccination season. Methods and Findings: Screening was conducted over two influenza vaccination seasons, 2017-2018 and 2018-2019 in four GP practices in Kent, UK. Pharmacists were trained by a cardiologist to pulse palpate, record and interpret a single-lead ECG (SLECG). Eligible persons aged ≥65 years, attending an influenza vaccination clinic were offered a free heart rhythm check. 604 participants were screened (median age 73 years, 42.7% male). Total prevalence of AF was 4.3%. All participants with AF qualified for anticoagulation and were more likely to be male (57.7%); older; have an increased BMI and have a CHA2DS2-VASc (Congestive heart failure, Hypertension, Age ≥ 75, Diabetes, previous Stroke, Age 65-74 years, Sex category) score ≥ 3. The sensitivity and specificity of clinical pharmacists diagnosing AF using pulse palpation was 76.9% [95% CI: 56.4-91.0] and 92.2% [89.7-94.3], respectively. This rose to 88.5% (69.9-97.6) and 97.2% [95.5-98.4] with a SLECG. At follow-up, four participants (0.7%) were diagnosed with new AF and 3 (0.5%) were initiated on anticoagulation. Screening with SLECG also helped identify new non-AF cardiovascular diagnoses, such as left ventricular hypertrophy, in 28 participants (4.6%). The screening strategy was cost-effective in 71.8% and 64.3% of the estimates for SLECG or pulse palpation, respectively. Feedback from participants (422/604) was generally positive. Key limitations of the study were that the intervention did not reach individuals who did not attend the practice for an influenza vaccination and there was a limited representation of UK ethnic minority groups in the study cohort. Conclusions: This study demonstrates that AF screening performed by GP practice-based pharmacists was feasible, economically viable and positively endorsed by participants. Furthermore, diagnosis of AF by the clinical pharmacist using a SLECG was more sensitive and more specific than the use of pulse palpation alone. Future research should explore the key barriers preventing the adoption of national screening programmes

Pharmacological prevention of ischemic stroke and tia : epidemiological aspects and how to improve treatment

Background: Medications can prevent stroke but are not used optimally. The overarching aim of this thesis was to study medication use in patients with previous ischemic stroke or transient ischemic attack (TIA) and in all patients with atrial fibrillation. Socioeconomic and demographic factors such as sex, education, and income have been associated with differences in medication use after stroke. Understanding these associations better may help in understanding reasons for suboptimal medication use. In the chronic setting, patients with a previous stroke are followed in primary care in Sweden. Primary care is thus an important target for improving medication use. All patient visits in primary care require that a diagnosis is recorded by the doctor in the patient’s electronic medical record. This “recording” of diagnoses has been hypothesized as a potential quality indicator, but the utility has not yet been proven. Also, the association between diagnosis recording and medication use has not been studied. Audit & feedback is a commonly used approach to achieve changes in behavior in healthcare personnel. Changing the prescribing and motivating behavior of primary care doctors vis-à-vis stroke/TIA and atrial fibrillation patients could potentially increase medication use. Methods: All the studies in this thesis were registry based and have included patients ≥18 years of age from Region Stockholm. The outcome of all studies has been medication use. By using the Swedish National Prescribed Drug Register (NPDR), we were able to study medication dispensation to patients as a marker of medication use. Study I used cross-linked data from the VAL database (see below), NPDR, and Statistics Sweden. Studies II-IV used data from the local healthcare administrative database for Region Stockholm, the VAL database. Data in VAL is identical to that found in the National Patient Register (NPR) and since 2010 also the NPDR. In study I we explored the association between medication use and socioeconomic and demographic factors 9-12 months after ischemic stroke/TIA. Study II explored the association between diagnosis recording in primary care and medication use for the diagnoses stroke/TIA and acute coronary syndrome. Studies III and IV tested if an audit & feedback intervention in primary care could improve medication use and diagnosis recording in patients with ischemic stroke/TIA (III) or atrial fibrillation (IV). Results/conclusions: Use of recommended preventive medications in Region Stockholm has increased over time in both patients with prior ischemic stroke/TIA and patients with atrial fibrillation. Although statin use has increased, statins are still the secondary preventive medication class which is used the least after ischemic stroke/TIA. The sex gap in statin use after ischemic stroke/TIA has persisted over time and future interventions should target improving statin use particularly in women. High income was associated with being dispensed more statins, anticoagulants, and antiplatelets 9-12 months after ischemic stroke/TIA. Having a diagnosis recorded in primary care was associated with greater use of antithrombotics and statins in ischemic stroke/TIA, and acute coronary syndrome. Also, recorded atrial fibrillation patients used more anticoagulants. An audit and feedback intervention did not improve the utilization of preventive stroke medications in primary care

Optimizing the Collection and Use of Patient-Generated Health Data

This dissertation aims to examine the collection and use of digital patient-generated health data (PGHD) in real-world settings, including existing barriers from the perspectives of patients and healthcare providers, and possible approaches to optimizing the process. In Chapter One, the potential of PGHD to improve health and wellness, particularly for individuals with chronic conditions, as well as known barriers to PGHD collection and use, are described. One chronic condition in particular, atrial fibrillation (AF), is then introduced as a use case for PGHD. Chapter Two contains an integrative review synthesizing findings from eleven studies reporting patients’ and providers’ needs when collecting and using PGHD, and identifying convergence and divergence between needs. Chapter Three contains a quantitative evaluation of sustained engagement, currently a major barrier to collection of PGHD, in a group of adults self-monitoring AF, as well as predictors and moderators of engagement that come from an adapted version of the Unified Theory of Acceptance and Use of Technology (UTAUT). These individuals were previously enrolled in the randomized, controlled trial, the iPhone® Helping Evaluate Atrial Fibrillation Rhythm through Technology (iHEART). In Chapter Four, the adapted UTAUT model is explored in more detail through a qualitative investigation of sustained engagement with patients, healthcare providers, and research coordinators involved in the iHEART trial. Chapter Five summarizes the findings of this dissertation, including strengths and limitations, and elicits implications for the intersection of health policy and clinical practice, design, nursing, and future research from the findings