Supplementing electronic health records through sample collection and patient diaries: A study set within a primary care research database.

PURPOSE: To describe a novel observational study that supplemented primary care electronic health record (EHR) data with sample collection and patient diaries. METHODS: The study was set in primary care in England. A list of 3974 potentially eligible patients was compiled using data from the Clinical Practice Research Datalink. Interested general practices opted into the study then confirmed patient suitability and sent out postal invitations. Participants completed a drug-use diary and provided saliva samples to the research team to combine with EHR data. RESULTS: Of 252 practices contacted to participate, 66 (26%) mailed invitations to patients. Of the 3974 potentially eligible patients, 859 (22%) were at participating practices, and 526 (13%) were sent invitations. Of those invited, 117 (22%) consented to participate of whom 86 (74%) completed the study. CONCLUSIONS: We have confirmed the feasibility of supplementing EHR with data collected directly from patients. Although the present study successfully collected essential data from patients, it also underlined the requirement for improved engagement with both patients and general practitioners to support similar studies.

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.

Electronically delivered interventions to reduce antibiotic prescribing for respiratory infections in primary care: cluster RCT using electronic health records and cohort study.

BACKGROUND: Unnecessary prescribing of antibiotics in primary care is contributing to the emergence of antimicrobial drug resistance. OBJECTIVES: To develop and evaluate a multicomponent intervention for antimicrobial stewardship in primary care, and to evaluate the safety of reducing antibiotic prescribing for self-limiting respiratory infections (RTIs). INTERVENTIONS: A multicomponent intervention, developed as part of this study, including a webinar, monthly reports of general practice-specific data for antibiotic prescribing and decision support tools to inform appropriate antibiotic prescribing. DESIGN: A parallel-group, cluster randomised controlled trial. SETTING: The trial was conducted in 79 general practices in the UK Clinical Practice Research Datalink (CPRD). PARTICIPANTS: All registered patients were included. MAIN OUTCOME MEASURES: The primary outcome was the rate of antibiotic prescriptions for self-limiting RTIs over the 12-month intervention period. COHORT STUDY: A separate population-based cohort study was conducted in 610 CPRD general practices that were not exposed to the trial interventions. Data were analysed to evaluate safety outcomes for registered patients with 45.5 million person-years of follow-up from 2005 to 2014. RESULTS: There were 41 intervention trial arm practices (323,155 patient-years) and 38 control trial arm practices (259,520 patient-years). There were 98.7 antibiotic prescriptions for RTIs per 1000 patient-years in the intervention trial arm (31,907 antibiotic prescriptions) and 107.6 per 1000 patient-years in the control arm (27,923 antibiotic prescriptions) [adjusted antibiotic-prescribing rate ratio (RR) 0.88, 95% confidence interval (CI) 0.78 to 0.99; p = 0.040]. There was no evidence of effect in children aged < 15 years (RR 0.96, 95% CI 0.82 to 1.12) or adults aged ≥ 85 years (RR 0.97, 95% CI 0.79 to 1.18). Antibiotic prescribing was reduced in adults aged between 15 and 84 years (RR 0.84, 95% CI 0.75 to 0.95), that is, one antibiotic prescription was avoided for every 62 patients (95% CI 40 to 200 patients) aged 15-84 years per year. Analysis of trial data for 12 safety outcomes, including pneumonia and peritonsillar abscess, showed no evidence that these outcomes might be increased as a result of the intervention. The analysis of data from non-trial practices showed that if a general practice with an average list size of 7000 patients reduces the proportion of RTI consultations with antibiotics prescribed by 10%, then 1.1 (95% CI 0.6 to 1.5) more cases of pneumonia per year and 0.9 (95% CI 0.5 to 1.3) more cases of peritonsillar abscesses per decade may be observed. There was no evidence that mastoiditis, empyema, meningitis, intracranial abscess or Lemierre syndrome were more frequent at low-prescribing practices. LIMITATIONS: The research was based on electronic health records that may not always provide complete data. The number of practices included in the trial was smaller than initially intended. CONCLUSIONS: This study found evidence that, overall, general practice antibiotic prescribing for RTIs was reduced by this electronically delivered intervention. Antibiotic prescribing rates were reduced for adults aged 15-84 years, but not for children or the senior elderly. FUTURE WORK: Strategies for antimicrobial stewardship should employ stratified interventions that are tailored to specific age groups. Further research into the safety of reduced antibiotic prescribing is also needed. TRIAL REGISTRATION: Current Controlled Trials ISRCTN95232781. FUNDING: This project was funded by the National Institute for Health Research (NIHR) Health Technology Assessment programme and will be published in full in Health Technology Assessment; Vol. 23, No. 11. See the NIHR Journals Library website for further project information.

The overuse of antibiotics to treat infections is contributing to the rise of antibiotic resistance in bacteria. A trial was carried out to evaluate whether or not interventions delivered through general practice computer systems may be used to reduce antibiotic prescribing for self-limiting respiratory tract infections (RTIs). The study was carried out in 79 UK general practices. The study tested the effect of a webinar to introduce the trial interventions, which included monthly feedback reports of data for respiratory consultations and antibiotic prescriptions, as well as computer-delivered decision support tools. These interventions were specially developed for this study and were pre-tested with general practitioners and practice nurses. Over the 12-month intervention period, the antibiotic-prescribing rate was about 12% lower in the intervention trial arm than in the control arm. There was no effect of intervention in children aged < 15 years or adults aged ≥ 85 years, but antibiotic prescribing was reduced by about 16% in adults aged between 15 and 84 years. Assuming this was caused by the intervention, one antibiotic prescription was avoided per year for every 62 patients aged between 15 and 84 years and registered with a trial practice. The study found no evidence that the intervention might increase the risk of 12 bacterial infections. In addition, a follow-up study of 610 UK general practices not included in the trial was conducted. The study found that if a general practice with an average list size of 7000 patients reduces the proportion of RTI consultations with antibiotics prescribed by 10%, then it may be possible to observe about one more case of pneumonia per year and one more case of peritonsillar abscess per decade, but no increase in other infections is likely. It can be concluded that electronically delivered interventions, including feedback of antibiotic-prescribing data for specific indications, may have the potential to reduce unnecessary antibiotic prescribing; however, antimicrobial stewardship interventions need to be tailored to particular age groups.

Effectiveness and safety of electronically delivered prescribing feedback and decision support on antibiotic use for respiratory illness in primary care: REDUCE cluster randomised trial.

OBJECTIVES: To evaluate the effectiveness and safety at population scale of electronically delivered prescribing feedback and decision support interventions at reducing antibiotic prescribing for self limiting respiratory tract infections. DESIGN: Open label, two arm, cluster randomised controlled trial. SETTING: UK general practices in the Clinical Practice Research Datalink, randomised between 11 November 2015 and 9 August 2016, with final follow-up on 9 August 2017. PARTICIPANTS: 79 general practices (582 675 patient years) randomised (1:1) to antimicrobial stewardship (AMS) intervention or usual care. INTERVENTIONS: AMS intervention comprised a brief training webinar, automated monthly feedback reports of antibiotic prescribing, and electronic decision support tools to inform appropriate prescribing over 12 months. Intervention components were delivered electronically, supported by a local practice champion nominated for the trial. MAIN OUTCOME MEASURES: Primary outcome was the rate of antibiotic prescriptions for respiratory tract infections from electronic health records. Serious bacterial complications were evaluated for safety. Analysis was by Poisson regression with general practice as a random effect, adjusting for covariates. Prespecified subgroup analyses by age group were reported. RESULTS: The trial included 41 AMS practices (323 155 patient years) and 38 usual care practices (259 520 patient years). Unadjusted and adjusted rate ratios for antibiotic prescribing were 0.89 (95% confidence interval 0.68 to 1.16) and 0.88 (0.78 to 0.99, P=0.04), respectively, with prescribing rates of 98.7 per 1000 patient years for AMS (31 907 prescriptions) and 107.6 per 1000 patient years for usual care (27 923 prescriptions). Antibiotic prescribing was reduced most in adults aged 15-84 years (adjusted rate ratio 0.84, 95% confidence interval 0.75 to 0.95), with one antibiotic prescription per year avoided for every 62 patients (95% confidence interval 40 to 200). There was no evidence of effect for children younger than 15 years (adjusted rate ratio 0.96, 95% confidence interval 0.82 to 1.12) or people aged 85 years and older (0.97, 0.79 to 1.18); there was also no evidence of an increase in serious bacterial complications (0.92, 0.74 to 1.13). CONCLUSIONS: Electronically delivered interventions, integrated into practice workflow, result in moderate reductions of antibiotic prescribing for respiratory tract infections in adults, which are likely to be of importance for public health. Antibiotic prescribing to very young or old patients requires further evaluation. TRIAL REGISTRATION: ISRCTN95232781.

Electronically delivered, multicomponent intervention to reduce unnecessary antibiotic prescribing for respiratory infections in primary care: a cluster randomised trial using electronic health records-REDUCE Trial study original protocol.

INTRODUCTION: Respiratory tract infections (RTIs) account for about 60% of antibiotics prescribed in primary care. This study aims to test the effectiveness, in a cluster randomised controlled trial, of electronically delivered, multicomponent interventions to reduce unnecessary antibiotic prescribing when patients consult for RTIs in primary care. The research will specifically evaluate the effectiveness of feeding back electronic health records (EHRs) data to general practices. METHODS AND ANALYSIS: 2-arm cluster randomised trial using the EHRs of the Clinical Practice Research Datalink (CPRD). General practices in England, Scotland, Wales and Northern Ireland are being recruited and the general population of all ages represents the target population. Control trial arm practices will continue with usual care. Practices in the intervention arm will receive complex multicomponent interventions, delivered remotely to information systems, including (1) feedback of each practice's antibiotic prescribing through monthly antibiotic prescribing reports estimated from CPRD data; (2) delivery of educational and decision support tools; (3) a webinar to explain and promote effective usage of the intervention. The intervention will continue for 12 months. Outcomes will be evaluated from CPRD EHRs. The primary outcome will be the number of antibiotic prescriptions for RTIs per 1000 patient years. Secondary outcomes will be: the RTI consultation rate; the proportion of consultations for RTI with an antibiotic prescribed; subgroups of age; different categories of RTI and quartiles of intervention usage. There will be more than 80% power to detect an absolute reduction in antibiotic prescription for RTI of 12 per 1000 registered patient years. Total healthcare usage will be estimated from CPRD data and compared between trial arms. ETHICS AND DISSEMINATION: Trial protocol was approved by the National Research Ethics Service Committee (14/LO/1730). The pragmatic design of the trial will enable subsequent translation of effective interventions at scale in order to achieve population impact. TRIAL REGISTRATION NUMBER: ISRCTN95232781; Pre-results.