Changes in primary care visits for respiratory illness during the COVID-19 pandemic: a multinational study by the International Consortium of Primary Care Big Data Researchers (INTRePID).

Objectives: The majority of patients with respiratory illness are seen in primary care settings. Given COVID-19 is predominantly a respiratory illness, the INTernational ConsoRtium of Primary Care BIg Data Researchers (INTRePID), assessed the pandemic impact on primary care visits for respiratory illnesses. Design: Definitions for respiratory illness types were agreed on collectively. Monthly visit counts with diagnosis were shared centrally for analysis. Setting: Primary care settings in Argentina, Australia, Canada, China, Norway, Peru, Singapore, Sweden and the United States. Participants: Over 38 million patients seen in primary care settings in INTRePID countries before and during the pandemic, from January 1st, 2018, to December 31st, 2021. Main outcome measures: Relative change in the monthly mean number of visits before and after the onset of the pandemic for acute infectious respiratory disease visits including influenza, upper and lower respiratory tract infections and chronic respiratory disease visits including asthma, chronic obstructive pulmonary disease, respiratory allergies, and other respiratory diseases. Results: INTRePID countries reported a marked decrease in the average monthly visits for respiratory illness. Changes in visits varied from -10.9% [95% confidence interval (CI): -33.1 to +11.3%] in Norway to -79.9% (95% CI: -86.4% to -73.4%) in China for acute infectious respiratory disease visits and - 2.1% (95% CI: -12.1 to +7.8%) in Peru to -59.9% (95% CI: -68.6% to -51.3%) in China for chronic respiratory illness visits. While seasonal variation in allergic respiratory illness continued during the pandemic, there was essentially no spike in influenza illness during the first 2 years of the pandemic. Conclusion: The COVID-19 pandemic had a major impact on primary care visits for respiratory presentations. Primary care continued to provide services for respiratory illness, although there was a decrease in infectious illness during the COVID pandemic. Understanding the role of primary care may provide valuable information for COVID-19 recovery efforts and planning for future global emergencies.

Using primary care data for research: What are the issues and potential solutions?

BACKGROUND: Interest in using primary care data for research is growing with increasing recognition of its potential for improving healthcare. Many issues exist, some inherent in the data and others external. OBJECTIVE: This paper explores the main issues associated with the use of primary care data for research and proposed solutions to address them. DISCUSSION: Issues related to the use of primary care data for research are complex. Government reimbursement system administrative data have limitations as they lack clinical detail. General practice electronic medical record data are more suitable; however, challenges include variable data quality and interoperability. There are concerns from general practices and the public about data access and use. Strategies to address these issues include incorporating best-practice principles, implementing standards and data quality frameworks, creating partnerships between data custodians and ensuring robust governance systems exist. Leadership and the will of key stakeholders to reform, with governmental support in implementing required actions, must be prioritised.

Optimising a clinical decision support tool to improve chronic kidney disease management in general practice.

BACKGROUND: Early identification and treatment of chronic disease is associated with better clinical outcomes, lower costs, and reduced hospitalisation. Primary care is ideally placed to identify patients at risk of, or in the early stages of, chronic disease and to implement prevention and early intervention measures. This paper evaluates the implementation of a technological intervention called Future Health Today that integrates with general practice EMRs to (1) identify patients at-risk of, or with undiagnosed or untreated, chronic kidney disease (CKD), and (2) provide guideline concordant recommendations for patient care. The evaluation aimed to identify the barriers and facilitators to successful implementation. METHODS: Future Health Today was implemented in 12 general practices in Victoria, Australia. Fifty-two interviews with 30 practice staff were undertaken between July 2020 and April 2021. Practice characteristics were collected directly from practices via survey. Data were analysed using inductive and deductive qualitative analysis strategies, using Clinical Performance - Feedback Intervention Theory (CP-FIT) for theoretical guidance. RESULTS: Future Health Today was acceptable, user friendly and useful to general practice staff, and supported clinical performance improvement in the identification and management of chronic kidney disease. CP-FIT variables supporting use of FHT included the simplicity of design and delivery of actionable feedback via FHT, good fit within existing workflow, strong engagement with practices and positive attitudes toward FHT. Context variables provided the main barriers to use and were largely situated in the external context of practices (including pressures arising from the COVID-19 pandemic) and technical glitches impacting installation and early use. Participants primarily utilised the point of care prompt rather than the patient management dashboard due to its continued presence, and immediacy and relevance of the recommendations on the prompt, suggesting mechanisms of compatibility, complexity, actionability and credibility influenced use. Most practices continued using FHT after the evaluation phase was complete. CONCLUSIONS: This study demonstrates that FHT is a useful and acceptable software platform that provides direct support to general practice in identifying and managing patients with CKD. Further research is underway to explore the effectiveness of FHT, and to expand the conditions on the platform.

Perceptions of primary care patients on the use of electronic clinical decision support tools to facilitate health care: A systematic review.

OBJECTIVE: Electronic clinical decision support tools (eCDSTs) are interventions designed to facilitate clinical decision-making using targeted medical knowledge and patient information. While eCDSTs have been demonstrated to improve quality of care, there is a paucity of research relating to the acceptability of eCDSTs in primary care from the patients' perspective. This study aims to summarize current evidence relating to primary care patients' perceptions and experiences on the use of eCDSTs by their clinician to provide care. METHODS: Four databases (Medline, Embase, CINAHL and Cochrane Library) were searched for qualitative and quantitative studies with outcomes relating to patients' perceptions of the use of clinician-facing or shared-eCDSTs. Data extraction and critical appraisal using the Johanna Briggs Institute Critical Appraisal checklists were carried out independently by reviewers. Qualitative and quantitative outcomes were synthesized independently. We used Richardson et al. 'Patient Evaluation of Artificial Intelligence (AI) in Healthcare' framework for qualitative analysis. FINDINGS: 20 papers were included for synthesis. eCDSTs were generally well-regarded by patients. The key facilitators for use were promoting informed decision-making, prompting discussions, aiding clinical decision-making, and enabling information sharing. Key barriers for use were lack of holistic care, 'medicalized' language, and confidentiality concerns. CONCLUSION: Our study identified important aspects to consider in the development of future eCDSTs. Patients were generally positive regarding the use of eCDSTs; however, patient's perspectives should be included from the conception of new eCDSTs to ensure recommendations align with the needs of patients and clinicians. PRACTICE IMPLICATIONS: The study results contribute to ensuring the acceptability of eCDSTs for patients and their unique needs. Encouragement is given for future development to adopt and build upon these findings. Additional research focusing on patients' perceptions of using eCDSTs for specific health conditions is deemed necessary.

Burden of antimicrobial prescribing in primary care attributable to sore throat: a retrospective cohort study of patient record data.

BACKGROUND: Reducing antibiotic use in Australia, and the subsequent impact on antimicrobial resistance, requires multiple, sustained approaches with appropriate resources and support. Additional strategies to reduce antibiotic prescribing include effective vaccines, against pathogens such as Streptococcus pyogenes, the most common bacterial cause of sore throat. As part of efforts towards assessing the benefits of introducing new strategies to reduce antimicrobial prescribing, we aimed to determine the burden of antimicrobial prescribing for sore throat in general practice. METHODS: General practice activity data from 2013 - 2017 derived from the first 8 practices participating in the 'Primary Care Audit, Teaching and Research Open Network' (Patron) program were analysed according to reason for visit (upper respiratory tract infection, URTI, or sore throat) and antibiotic prescription. The main outcome measures were percentage of sore throat or URTI presentations with antibiotic prescription by age. RESULTS: A total of 722,339 visits to general practice were made by 65,449 patients; 5.7% of visits were for URTI with 0.8% meeting the more specific criteria for sore throat. 66.1% of sore throat visits and 36.2% of URTI visits resulted in antibiotic prescription. Penicillin, the recommended antibiotic for sore throat when indicated, was the antibiotic of choice in only 52.9% of sore throat cases prescribed antibiotics. Broader spectrum antibiotics were prescribed more frequently in older age groups. CONCLUSIONS: Frequency of antibiotic prescribing for sore throat is high and broad, despite Australian Therapeutic guideline recommendations. Multiple, sustained interventions to reduce prescribing, including availability of effective S. pyogenes vaccines that could reduce the incidence of streptococcal pharyngitis, could obviate the need to prescribe antibiotics and support ongoing efforts to promote antimicrobial stewardship.

Interventions in adult patients with multimorbidity in low-income and middle-income countries: protocol for a mixed-methods systematic review.

INTRODUCTION: Multimorbidity, the coexistence of two or more chronic conditions in the same individual, is a major public health problem in low-income and middle-income countries (LMICs). The use of single-disease guidelines contributes to polypharmacy, fragmented care and increased treatment burden. Health systems in LMICs are very different from those in high-income countries, and adapting interventions from one to the other may not be feasible. This review aims to systematically present the current evidence for interventions for multimorbidity in the LMIC setting. METHODS AND ANALYSIS: In this mixed-methods systematic review, we will include all studies of interventions for the care of adults (>18 years of age) with multimorbidity (defined as the presence of two or more chronic illnesses in an individual) in any healthcare organisation (primary, secondary or tertiary care) in an LMIC (as defined by the World Bank), published between 2000 and March 2023. All primary study designs will be included. Studies reported in languages other than English and those describing interventions classified as 'financial' or 'governance arrangement' according to the Cochrane Effective Practice and Organisation of Care classification will be excluded. MEDLINE, PubMed, Cochrane Library, TRIP, SCOPUS and the 3ie databases will be searched. The titles will be screened by one author, and two authors will independently screen all included abstracts and full texts. A third author will resolve conflicts at every stage. Studies will be reviewed for quality of evidence using appropriate tools. Epidemiological, intervention and outcome data will be extracted and summarised. Outcomes of interest for LMICs defined by the Global Alliance for Chronic Diseases research group will be analysed. Subgroup analysis according to study types and study settings will be done. ETHICS AND DISSEMINATION: No ethics approval is required for this systematic review. Results will be disseminated through publication in an open-access journal and presentation at conferences. PROSPERO REGISTRATION NUMBER: CRD42023391897.

Effect of the COVID-19 pandemic on mental health visits in primary care: an interrupted time series analysis from nine INTRePID countries.

Background: The COVID-19 pandemic impacted mental health disorders, affecting both individuals with pre-existing conditions and those with no prior history. However, there is limited evidence regarding the pandemic's impact on mental health visits to primary care physicians. The International Consortium of Primary Care Big Data Researchers (INTRePID) explored primary care visit trends related to mental health conditions in Argentina, Australia, Canada, China, Norway, Peru, Singapore, Sweden, and the USA. Methods: We conducted an interrupted time series analysis in nine countries to examine changes in rates of monthly mental health visits to primary care settings from January 1st, 2018, to December 31st, 2021. Sub-group analysis considered service type (in-person/virtual) and six categories of mental health conditions (anxiety/depression, bipolar/schizophrenia/other psychotic disorders, sleep disorders, dementia, ADHD/eating disorders, and substance use disorder). Findings: Mental health visit rates increased after the onset of the pandemic in most countries. In Argentina, Canada, China, Norway, Peru, and Singapore, this increase was immediate ranged from an incidence rate ratio of 1·118 [95% CI 1.053-1.187] to 2.240 [95% CI 2.057-2.439] when comparing the first month of pandemic with the pre-pandemic trend. Increases in the following months varied across countries. Anxiety/depression was the leading reason for mental health visits in most countries. Virtual visits were reported in Australia, Canada, Norway, Peru, Sweden, and the USA, accounting for up to 40% of the total mental health visits. Interpretation: Findings suggest an overall increase in mental health visits, driven largely by anxiety/depression. During the COVID-19 pandemic, many of the studied countries adopted virtual care in particular for mental health visits. Primary care plays a crucial role in addressing mental ill-health in times of crisis. Funding: Canadian Institutes of Health Research grant #173094 and the Rathlyn Foundation Primary Care EMR Research and Discovery Fund.

Implementing a Sodium-Glucose Cotransporter 2 Inhibitor Module With a Software Tool (Future Health Today): Qualitative Study.

BACKGROUND: Primary care plays a key role in the management of type 2 diabetes. Sodium-glucose cotransporter 2 (SGLT2) inhibitors have been demonstrated to reduce hospitalization and cardiac and renal complications. Tools that optimize management, including appropriate prescribing, are a priority for treating chronic diseases. Future Health Today (FHT) is software that facilitates clinical decision support and quality improvement. FHT applies algorithms to data stored in electronic medical records in general practice to identify patients who are at risk of a chronic disease or who have a chronic disease that may benefit from intensification of management. The platform continues to evolve because of rigorous evaluation, continuous improvement, and expansion of the conditions hosted on the platform. FHT currently displays recommendations for the identification and management of chronic kidney disease, cardiovascular disease, type 2 diabetes, and cancer risk. A new module will be introduced to FHT focusing on SGLT2 inhibitors in patients with type 2 diabetes who have chronic kidney diseases, cardiovascular diseases, or risk factors for cardiovascular disease. OBJECTIVE: The study aims to explore the barriers and enablers to the implementation of an SGLT2 inhibitor module within the Future Health Today software. METHODS: Clinic staff were recruited to participate in interviews on their experience in their use of a tool to improve prescribing behavior for SGLT2 inhibitors. Thematic analysis was guided by Clinical Performance Feedback Intervention Theory. RESULTS: In total, 16 interviews were completed. Identified enablers of use included workflow alignment, clinical appropriateness, and active delivery of the module. Key barriers to use were competing priorities, staff engagement, and knowledge of the clinical topic. CONCLUSIONS: There is a recognized benefit to the use of a clinical decision support tool to support type 2 diabetes management, but barriers were identified that impeded the usability and actionability of the module. Successful and effective implementation of this tool could support the optimization of patient management of type 2 diabetes in primary care.

Clinician- and Patient-Identified Solutions to Reduce the Fragmentation of Post-ICU Care in Australia.

BACKGROUND: Critical care survivors experience multiple care transitions, with no formal follow-up care pathway. RESEARCH QUESTION: What are the potential solutions to improve the communication between treating teams and integration of care following an ICU admission, from the perspective of patients, their caregivers, intensivists, and general practitioners (GPs) from diverse socioeconomic areas? STUDY DESIGN AND METHODS: This study included a qualitative design using semi-structured interviews with intensivists, GPs, and patients and caregivers. Framework analysis was used to analyze data and to identify solutions to improve the integration of care following hospital discharge. Patients were previously mechanically ventilated for > 24 h in the ICU and had access to a video-enabled device. Clinicians were recruited from hospital networks and a state-wide GP network. RESULTS: Forty-six interviews with clinicians, patients, and caregivers were completed (15 intensivists, 8 GPs, 15 patients, and 8 caregivers). Three higher level feedback loops were identified that comprised 10 themes. Feedback loop 1 was an ICU and primary care collaboration. It included the following: (1) developing collaborative relationships between the ICU and primary care; (2) providing interprofessional education and resources to support primary care; and (3) improving role clarity for patient follow-up care. Feedback loop 2 was developing mechanisms for improved communication across the care continuum. It included: (4) timely, concise information-sharing with primary care on post-ICU recovery; (5) survivorship-focused information-sharing across the continuum of care; (6) empowering patients and caregivers in self-management; and (7) creation of a care coordinator role for survivors. Feedback loop 3 was learning from post-ICU outcomes to improve future care. It included: (8) developing comprehensive post-ICU care pathways; (9) enhancing support for patients following a hospital stay; and (10) integration of post-ICU outcomes within the ICU to improve clinician morale and understanding. INTERPRETATION: Practical solutions to enhance the quality of survivorship for critical care survivors and their caregivers were identified. These themes are mapped to a novel conceptual model that includes key feedback loops for health system improvements and foci for future interventional trials to improve ICU survivorship outcomes.

Global impacts of COVID-19 pandemic on sexual and reproductive health services: An international comparative study on primary care from the INTRePID Consortium.

OBJECTIVE: To understand how the COVID-19 pandemic has impacted sexual and reproductive health (SRH) visits. DESIGN: An ecological study comparing SRH services volume in different countries before and after the onset of the COVID-19 pandemic. SETTING: Seven countries from the INTernational ConsoRtium of Primary Care BIg Data Researchers (INTRePID) across four continents. POPULATION: Over 3.8 million SRH visits to primary care physicians in Australia, China, Canada, Norway, Singapore, Sweden and the USA. METHODS: Difference in average SRH monthly visits before and during the pandemic, with negative binomial regression modelling to compare predicted and observed number of visits during the pandemic for SRH visits. MAIN OUTCOME MEASURES: Monthly number of visits to primary care physicians from 2018 to 2021. RESULTS: During the pandemic, the average volume of monthly SRH visits increased in Canada (15.6%, 99% CI 8.1-23.0%) where virtual care was pronounced. China, Singapore, Sweden and the USA experienced a decline (-56.5%, 99% CI -74.5 to -38.5%; -22.7%, 99% CI -38.8 to -6.5%; -19.4%, 99% CI -28.3 to -10.6%; and -22.7%, 99% CI -38.8 to -6.5%, respectively); while Australia and Norway showed insignificant changes (6.5%, 99% CI -0.7 to -13.8% and 1.7%, 99% CI -6.4 to -9.8%). The countries that maintained (Australia, Norway) or surpassed (Canada) pre-pandemic visit rates had the greatest use of virtual care. CONCLUSIONS: In-person SRH visits to primary care decreased during the pandemic. Virtual care seemed to counterbalance that decline. Although cervical cancer screening appeared insensitive to virtual care, strategies such as incorporating self-collected samples for HPV testing may provide a solution in a future pandemic.

Have interventions aimed at assisting general practitioners in facilitating earlier diagnosis of type 1 diabetes in children been successful? A systematic review protocol.

BACKGROUND: Early diagnosis of type 1 diabetes in children is critical to prevent deterioration to diabetic ketoacidosis (DKA), a state where the body's insulin levels are critically low resulting in the use of fat for fuel and the accumulation of ketones. DKA is a life-threatening emergency where dehydration and cerebral oedema can quickly develop and lead to death. Despite treatment, DKA also has harmful impacts on cognition and brain development. Most children admitted to a hospital with DKA see their general practitioner in the week leading up to their admission. A delay in referral from general practice can result in delays in commencing lifesaving insulin therapy. Prior systematic reviews have explored publicity campaign interventions aimed at recognising type 1 diabetes earlier; however, no reviews have explored these interventions targeted at reducing the delay after presentation to the general practitioner. This systematic review aims to summarise interventions that target the diagnostic delay emerging from general practice and to evaluate their effectiveness in reducing DKA admissions. METHODS: Six databases (Ovid (MEDLINE), Web of Science, EMBASE, CINAHL, Evidence-Based Medicine Reviews (EBMR) and Google Scholar) will be searched to identify studies exploring interventions to reduce diagnostic delay in children with type 1 diabetes, and hence DKA, in general practice. The primary outcome will be the number of DKA admissions to a hospital following a delay in general practice. The secondary outcome will be the behaviour of general practitioners with respect to urgent referral of children with type 1 diabetes. Title, abstract and full-text screening for exclusion and inclusion of publications will be completed by two independent reviewers. Any risks of bias within individual studies will be assessed by two independent reviewers, using the Risk Of Bias In Non-Randomized Studies of Interventions tool. Our confidence in the overall body of evidence will be assessed using the Grading of Recommendations, Assessment, Development and Evaluation. ETHICS AND DISSEMINATION: The systematic review will be disseminated via publication and potentially in conference presentations. Ethics is not required for a systematic review of secondary data. PROSPERO REGISTRATION NUMBER: CRD42023412504.

Fragmentation of care between intensive and primary care settings and opportunities for improvement.

PURPOSE: To explore the gaps in care provided across the transitions from the intensive care unit (ICU) to primary care, in order to improve post-ICU care. METHODS: Semistructured interviews with three participant groups: intensivists, general practitioners (GPs) and patients and carers with framework analysis of textual data were used to investigate experiences of transitions of care post-ICU. Participants were purposively sampled for diversity. Eligible patients were adults, mechanically ventilated for >24 hours, with access to a video-enabled device. Exclusion criteria were non-English speaking and any cognitive/neurological limitation precluding interview participation. RESULTS: A total of 46 interviews (15 patients, 8 caregivers, 15 intensivists and 8 GPs) were completed. Eight themes were identified, and categorised into three healthcare tiers. Tier 1, health system factors: (1) fragmentation of care; (2) communication gaps; (3) limited awareness and recognition of issues beyond the ICU; (4) lack of a specialised ICU follow-up pathway; Tier 2, clinician factors: (5) relationships among ICU, hospitals, GPs and patients and carers; (6) need for clinician role definition and clarity in ICU follow-up; Tier 3, patient and carer factors: (7) patient autonomy and self-actualisation and (8) the evolving caregiver role. A conceptual model was developed, highlighting bidirectional feedback loops between hospital and primary care. CONCLUSION: This study identified gaps in care between ICU discharge and reintegration with primary care from the lived experience of patients, caregivers, intensivists and GPs. These data provide foci for future interventional research to improve the integration of care for this vulnerable and underserved cohort.

The impact on patients of the tertiary-primary healthcare interface in kidney failure: a qualitative study.

BACKGROUND: Clinicians and patients have reported fragmentation in the primary and tertiary healthcare interface. However, perspectives of service navigation and the impacts of fragmentation are not well defined, particularly for patients transitioning to dialysis. This study aimed to define patient perspectives of the functioning of the health service interface and impacts on healthcare experiences and engagement, informing patient-centred and outcomes-focused service models. METHODS: A qualitative study was conducted through semi-structured interviews with 25 dialysis patients (16 males) aged 34-78 receiving dialysis across a multi-site tertiary service. Transcripts were analysed thematically. RESULTS: Three main themes were identified: (1) The Changing Nature of General Practitioner (GP) Patient Relationships; (2) Ownership and Leadership in Kidney Care; and (3) The Importance of Nephrologist-GP Communications. Patients perceived an unreliable primary-tertiary service interface which lacked coordinated care and created challenges for primary care continuity. These impacted perceptions of healthcare provider expertise and confidence in healthcare systems. Patients subsequently increased the healthcare sought from tertiary kidney clinicians. The fractured interface led some to coordinate communication between health sectors, to support care quality, but this caused additional stress. CONCLUSIONS: A fragmented primary-tertiary healthcare interface creates challenges for patient service navigation and can negatively impact patient experiences, leading to primary care disengagement, reduced confidence in health care quality and increased stress. Future studies are imperative for assessing initiatives facilitating health system integration, including communication technologies, healthcare provider training, patient empowerment, and specific outcomes in health, economic and patient experience measures, for patients transitioning to dialysis.

Chronic disease IMPACT (chronic disease early detection and improved management in primary care project): An Australian stepped wedge cluster randomised trial.

Background: Interrelated chronic vascular diseases (chronic kidney disease (CKD), type 2 diabetes (T2D) and cardiovascular disease (CVD)) are common with high morbidity and mortality. This study aimed to assess if an electronic-technology-based quality improvement intervention in primary care could improve detection and management of people with and at risk of these diseases. Methods: Stepped-wedge trial with practices randomised to commence intervention in one of five 16-week periods. Intervention included (1) electronic-technology tool extracting data from general practice electronic medical records and generating graphs and lists for audit; (2) education regarding chronic disease and the electronic-technology tool; (3) assistance with quality improvement audit plan development, benchmarking, monitoring and support. De-identified data analysis using R 3.5.1 conducted using Bayesian generalised linear mixed model with practice and time-specific random intercepts. Results: At baseline, eight included practices had 37,946 active patients (attending practice ≥3 times within 2 years) aged ≥18 years. Intervention was associated with increased OR (95% CI) for: kidney health checks (estimated glomerular filtration rate, urine albumin:creatinine ratio (uACR) and blood pressure) in those at risk 1.34 (1.26-1.42); coded diagnosis of CKD 1.18 (1.09-1.27); T2D diagnostic testing (fasting glucose or HbA1c) in those at risk 1.15 (1.08-1.23); uACR in patients with T2D 1.78 (1.56-2.05). Documented eye checks within recommended frequency in patients with T2D decreased 0.85 (0.77-0.96). There were no significant changes in other assessed variables. Conclusions: This electronic-technology-based intervention in primary care has potential to help translate guidelines into practice but requires further refining to achieve widespread improvements across the interrelated chronic vascular diseases.

Informing the design of a digital intervention to support sexually transmissible infection care in general practice: a qualitative study exploring the views of clinicians.

BACKGROUND: Strengthening sexually transmissible infection (STI) management in general practice is prioritised in Australian STI strategy. Digital interventions incorporating clinical decision support offer a mechanism to assist general practitioners (GPs) in STI care. This study explored clinicians' views towards a proposed digital intervention for supporting STI care in Australian general practice as a first step in the tool's design. METHODS: Semi-structured one-to-one interviews were conducted during 2021 with sexual health physicians (n =2) and GPs (n =7) practicing in the state of Victoria, Australia. Interviews explored views on a proposed STI digital intervention for general practice. We applied the Theoretical Domains Framework (TDF), a behaviour change framework to our analysis. This involved: (1) directed content analysis of transcripts into TDF domains; and (2) thematic analysis to identify sub-themes within relevant TDF domains. Subthemes were subsequently categorised into enablers and barriers to the use and implementation of a STI computerised clinical decision support system (CDSS). RESULTS: All interviewees viewed a digital intervention for STI care favourably, expressing confidence in its potential to improve care and support management. Within the relevant TDF domains (e.g. environmental context and resources), subthemes emerged as barriers (e.g. lack of sensitivity to patient context) or enablers (e.g. clear communication and guidance) to the use and implementation of a STI CDSS in primary care. Multiple subthemes (e.g. time constraints) have the potential to be a barrier or an enabler, and is largely dependent on end-user needs being met and clinical context being appropriately addressed. CONCLUSIONS: A digital intervention incorporating clinical decision support was viewed favourably, indicating a possible role for such a tool in Australian general practice. Co-design with end-users and prototype evaluation with health consumers is recommended to ensure relevance and usefulness.

The impact of structured self-monitoring of blood glucose on clinical, behavioral, and psychosocial outcomes among adults with non-insulin-treated type 2 diabetes: a systematic review and meta-analysis.

Background: Self-monitoring of blood glucose (SMBG) is considered of little clinical benefit for adults with non-insulin-treated type 2 diabetes, but no comprehensive review of a structured approach to SMBG has been published to date. Purpose: To conduct a systematic review and meta-analysis of the impact of sSMBG on HbA1c, treatment modifications, behavioral and psychosocial outcomes, and; examine the moderating effects of sSMBG protocol characteristics on HbA1c. Data sources: Four databases searched (November 2020; updated: February 2022). Study selection: Inclusion criteria: non-randomized and randomized controlled trials (RCTs) and prospective observational studies; reporting effect of sSMBG on stated outcomes; among adults (≥18 years) with non-insulin-treated type 2 diabetes. Studies excluded if involving children or people with insulin-treated or other forms of diabetes. Data extraction and analysis: Outcome data extracted, and risk of bias/quality assessed independently by two researchers. Meta-analysis was conducted for RCTs, and moderators explored (HbA1c only). Data synthesis: From 2,078 abstracts, k=23 studies were included (N=5,372). Risk of bias was evident and study quality was low. Outcomes assessed included: HbA1c (k=23), treatment modification (k=16), psychosocial/behavioral outcomes (k=12). Meta-analysis revealed a significant mean difference favoring sSMBG in HbA1c (-0·29%, 95% CI: -0·46 to -0·11, k=13) and diabetes self-efficacy (0.17%, 95% CI: 0.01 to 0.33, k=2). Meta-analysis revealed no significant moderating effects by protocol characteristics. Limitations: Findings limited by heterogeneity in study designs, intervention characteristics, and psychosocial assessments. Conclusion: A small positive effect of sSMBG on HbA1c and diabetes self-efficacy was observed. Narrative synthesis of sSMBG intervention characteristics may guide future implementation. PROSPERO registration: https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42020208857, identifier CRD42020208857.

Site-specific factors associated with clinical trial recruitment efficiency in general practice settings: a comparative descriptive analysis.

BACKGROUND: Recruitment of participants is crucial to the success of randomised control trials (RCTs) but can be challenging and expensive. Current research on trial efficiency is often focused at the patient-level with an emphasis on effective recruitment strategies. Less is known about selection of study sites to optimise recruitment. We examine site-level factors that are associated with patient recruitment and cost efficiency using data from an RCT conducted across 25 general practices (GP) in Victoria, Australia. METHODS: Data on number of participants screened, excluded, eligible, recruited, and randomised from each study site were extracted from a clinical trial. Details regarding site characteristics, recruitment practices, and staff time commitment were collected using a three-part survey. The key outcomes assessed were recruitment efficiency (ratio of screened to randomised), average time, and cost for each participant recruited and randomised. To identify practice-level factors associated with efficient recruitment and lower cost, outcomes were dichotomised (25th percentile vs others) and each practice-level factor assessed against the outcomes to determine its association. RESULTS: Across 25 GP study sites, 1968 participants were screened of which 299 (15.2%) were recruited and randomised. The mean recruitment efficiency was 7.2, varying from 1.4 to 19.8 across sites. The strongest factor associated with efficiency was assigning clinical staff to identify potential participants (57.14% vs. 22.2%). The more efficient sites were smaller practices and were more likely to be rural locations and in areas of lower socioeconomic status. The average time used for recruitment was 3.7 h (SD2.4) per patient randomised. The mean cost per patient randomised was $277 (SD161), and this varied from $74 to $797 across sites. The sites identified with the 25% lowest recruitment cost (n = 7) were more experienced in research participation and had high levels of nurse and/or administrative support. CONCLUSION: Despite the small sample size, this study quantified the time and cost used to recruit patients and provides helpful indications of site-level characteristics that can help improve feasibility and efficiency of conducting RCT in GP settings. Characteristics indicative of high levels of support for research and rural practices, which often tends to be overlooked, were observed to be more efficient in recruiting.