Development of theoretically informed audit and feedback: An exemplar from a complex implementation strategy to improve asthma self-management in UK primary care

RATIONALE: Audit and feedback is an evidence-based implementation strategy, but studies reporting the use of theory to guide design elements are limited. AIMS AND OBJECTIVES: Within the context of a programme of research aiming to improve the implementation of supported asthma self-management in UK primary care (IMPlementing IMProved Asthma self-management as RouTine [IMP2ART]), we aimed to design and develop theoretically-informed audit and feedback that highlighted supported asthma self-management provision and areas for improvement in primary care general practices. METHOD: Aligned with the Medical Research Council (MRC) complex intervention framework, the audit and feedback was developed in three phases: (1) Development: literature and theory exploration, and prototype audit and feedback design; (2) Feasibility: eliciting feedback on the audit and feedback from general practice staff (n = 9); (3) Prepiloting: delivering the audit and feedback within the IMP2ART implementation strategy (incorporating patient and professional resources and an asthma review template) and eliciting clinician feedback (n = 9). RESULTS: Audit and feedback design was guided by and mapped to existing literature suggestions and theory (e.g., Theoretical Domains Framework, Behaviour Change Technique Taxonomy). Feedback on the prototype audit and feedback confirmed feasibility but identified some refinements (a need to highlight supporting self-management and importance of asthma action plans). Prepiloting informed integration with other IMP2ART programme strategies (e.g., patient resources and professional education). CONCLUSION: We conclude that a multistage development process including theory exploration and mapping, contributed to the design and delivery of the audit and feedback. Aligned with the MRC framework, the IMP2ART strategy (incorporating the audit and feedback) is now being tested in a UK-wide cluster randomised controlled trial

Development of theoretically informed audit and feedback: An exemplar from a complex implementation strategy to improve asthma self-management in UK primary care.

RATIONALE: Audit and feedback is an evidence-based implementation strategy, but studies reporting the use of theory to guide design elements are limited. AIMS AND OBJECTIVES: Within the context of a programme of research aiming to improve the implementation of supported asthma self-management in UK primary care (IMPlementing IMProved Asthma self-management as RouTine [IMP2 ART]), we aimed to design and develop theoretically-informed audit and feedback that highlighted supported asthma self-management provision and areas for improvement in primary care general practices. METHOD: Aligned with the Medical Research Council (MRC) complex intervention framework, the audit and feedback was developed in three phases: (1) Development: literature and theory exploration, and prototype audit and feedback design; (2) Feasibility: eliciting feedback on the audit and feedback from general practice staff (n = 9); (3) Prepiloting: delivering the audit and feedback within the IMP2 ART implementation strategy (incorporating patient and professional resources and an asthma review template) and eliciting clinician feedback (n = 9). RESULTS: Audit and feedback design was guided by and mapped to existing literature suggestions and theory (e.g., Theoretical Domains Framework, Behaviour Change Technique Taxonomy). Feedback on the prototype audit and feedback confirmed feasibility but identified some refinements (a need to highlight supporting self-management and importance of asthma action plans). Prepiloting informed integration with other IMP2 ART programme strategies (e.g., patient resources and professional education). CONCLUSION: We conclude that a multistage development process including theory exploration and mapping, contributed to the design and delivery of the audit and feedback. Aligned with the MRC framework, the IMP2 ART strategy (incorporating the audit and feedback) is now being tested in a UK-wide cluster randomised controlled trial

Risk Predictors and Symptom Features of Long COVID Within a Broad Primary Care Patient Population Including Both Tested and Untested Patients

Introduction: Symptoms may persist after the initial phases of COVID-19 infection, a phenomenon termed long COVID. Current knowledge on long COVID has been mostly derived from test-confirmed and hospitalized COVID-19 patients. Data are required on the burden and predictors of long COVID in a broader patient group, which includes both tested and untested COVID-19 patients in primary care. Methods: This is an observational study using data from Platform C19, a quality improvement program-derived research database linking primary care electronic health record data (EHR) with patient-reported questionnaire information. Participating general practices invited consenting patients aged 18– 85 to complete an online questionnaire since 7th August 2020. COVID-19 self-diagnosis, clinician-diagnosis, testing, and the presence and duration of symptoms were assessed via the questionnaire. Patients were considered present with long COVID if they reported symptoms lasting ≥ 4 weeks. EHR and questionnaire data up till 22nd January 2021 were extracted for analysis. Multivariable regression analyses were conducted comparing demographics, clinical characteristics, and presence of symptoms between patients with long COVID and patients with shorter symptom duration. Results: Long COVID was present in 310/3151 (9.8%) patients with self-diagnosed, clinician-diagnosed, or test-confirmed COVID-19. Only 106/310 (34.2%) long COVID patients had test-confirmed COVID-19. Risk predictors of long COVID were age ≥ 40 years (adjusted Odds Ratio [AdjOR]=1.49 [1.05– 2.17]), female sex (adjOR=1.37 [1.02– 1.85]), frailty (adjOR=2.39 [1.29– 4.27]), visit to A&E (adjOR=4.28 [2.31– 7.78]), and hospital admission for COVID-19 symptoms (adjOR=3.22 [1.77– 5.79]). Aches and pain (adjOR=1.70 [1.21– 2.39]), appetite loss (adjOR=3.15 [1.78– 5.92]), confusion and disorientation (adjOR=2.17 [1.57– 2.99]), diarrhea (adjOR=1.4 [1.03– 1.89]), and persistent dry cough (adjOR=2.77 [1.94– 3.98]) were symptom features statistically more common in long COVID. Conclusion: This study reports the factors and symptom features predicting long COVID in a broad primary care population, including both test-confirmed and the previously missed group of COVID-19 patients