Snotwatch COVID-toes: An ecological study of chilblains and COVID-19 diagnoses in Victoria, Australia

The COVID-19 pandemic has caused widespread illness with varying clinical manifestations. One less-commonly-reported presentation of COVID-19 infection is chilblain-like lesions. We conducted an ecological analysis of chilblain presentations in comparison with confirmed and suspected COVID-19 infections in a primary care setting to establish that a relationship exists between the two. Our study collated data from three Primary Health Networks across Victoria, Australia, from 2017–2021, to understand patterns of chilblain presentations prior to and throughout the pandemic. Using a zero-inflated negative binomial regression analysis, we estimated the relationship between local minimum temperature, COVID-19 infections and the frequency of chilblain presentations. We found a 5.72 risk ratio of chilblain incidence in relation to COVID-19 infections and a 3.23 risk ratio associated with suspected COVID-19 infections. COVID-19 infections were also more strongly associated with chilblain presentations in 0-16-year-olds throughout the pandemic in Victoria. Our study statistically suggests that chilblains are significantly associated with COVID-19 infections in a primary care setting. This has major implications for clinicians aiming to diagnose COVID-19 infections or determine the cause of a presentation of chilblains. Additionally, we demonstrate the utility of large-scale primary care data in identifying an uncommon manifestation of COVID-19 infections, which will be significantly beneficial to treating physicians.

Opioid prescribing among aged care residents during the first year of the COVID-19 pandemic: an analysis using general practice health records in Australia.

BACKGROUND: Opioid use is common among adults 65 years and older, while long-term use of opioids remains controversial and poses risks of drug dependence and other adverse events. The acute disease caused by the SARS-CoV-2 (COVID-19) pandemic has created new challenges and barriers to healthcare access, particularly for long-term care residents. Australia had a relatively low incidence and deaths due to COVID-19 during the first year of the pandemic compared to most OECD countries. In this context, we examined opioid prescribing rates and their dosage in residential aged care facilities (RACFs) before (2019) and during the COVID-19 pandemic (2020) from March to December in Australia. METHODS: We conducted a retrospective cohort using general practice electronic health records. This includes 17,304 RACF residents aged 65 years and over from 361 general practices in New South Wales and Victoria. Number of opioid prescriptions and percentage of opioids over 50 mg/day of oral morphine equivalent (OME) were described. Multivariate generalized estimating equations were applied to estimate odds ratios [aORs (95% confidence intervals)] for 1) opioids prescribed per consultation and 2) prescription opioids over 50 mg/day OME. RESULTS: In 2020 among 11,154 residents, 22.8% of 90,897 total prescriptions were opioids, and of the opioids, 11.3% were over 50 mg/day OME. In 2019 among 10,506 residents, 18.8% of 71,829 total prescriptions were opioids, of which 10.3% were over 50 mg/day OME. Year [2020 vs. 2019: aOR (95% CI):1.50 (1.44, 1.56); 1.29 (1.15, 1.46)] and regionality [rural/regional vs. metropolitan: 1.37 (1.26, 1.49); 1.40 (1.14, 1.71)] were associated with higher odds of prescription opioids and OME > 50 mg/day, respectively. Similar results were found when limited to the same residents (n = 7,340) recorded in both years. CONCLUSIONS: Higher prescription rates of opioids were observed during the COVID-19 pandemic in 2020 than in 2019 in Australian RACFs. The higher odds of prescription opioids and higher dosing in rural/regional than metropolitan areas indicate a widening of the gap in the quality of pain management during the pandemic. Our findings contribute to the limited data that indicate increased opioid prescriptions in long-term care facilities, likely to continue while COVID-19 pandemic restrictions remain.

A framework for conducting policy-relevant primary care research: a COVID-19 case study in Australia.

The onset of the coronavirus disease 2019 (COVID-19) pandemic, caused by SARS-CoV-2, and the ensuing implementation of response measures directly impacted the delivery of Australian primary care services. Understanding how these measures affected practice activity is important for gauging both their effectiveness and implications for future service planning. During the first 2years of the COVID-19 pandemic, a research project was undertaken to determine the impact of the pandemic on Australian general practice activity as a collaborative undertaking between researchers, general practitioners, data custodians, and five primary health networks from New South Wales and Victoria, Australia. The project methodology was based on an established research approach called action research, which involves participatory involvement from key stakeholders throughout the research process. The strength and success of the project's methodological approach stemmed from the synergistic interrelationship between the four key elements of: collaboration, repeated action research cycles (utilising electronic general practice data), engaged governance, and the production and dissemination of apposite knowledge outcomes. The project approach, knowledge outputs and lessons learned can be adapted to future research undertakings across any primary care setting and highlight the utility of action research and interdisciplinary research collaboration to produce knowledge directly relevant to clinical practice.

Sociodemographic determinants of telehealth utilisation in general practice during the COVID-19 pandemic in Australia.

This analysis assessed the sociodemographic characteristics of telehealth utilisation during the coronavirus disease 2019 (COVID-19) pandemic from March 2020 to August 2021 in Australia. Drawing on 860 general practice providers among 3 161 868 patients, 24 527 274 consultations were recorded. Telehealth accounted for 37.6% of the consultations, with 2.4% through videoconferencing and 35.2% through phone consultations. Our multivariate regression analyses indicated low utilisation of videoconferencing compared with phone consultations among older adults, those living in rural communities and migrants from non-English speaking countries.

Snotwatch COVID-toes: An ecological study of chilblains and COVID-19 diagnoses in Victoria, Australia.

The COVID-19 pandemic has caused widespread illness with varying clinical manifestations. One less-commonly-reported presentation of COVID-19 infection is chilblain-like lesions. We conducted an ecological analysis of chilblain presentations in comparison with confirmed and suspected COVID-19 infections in a primary care setting to establish that a relationship exists between the two. Our study collated data from three Primary Health Networks across Victoria, Australia, from 2017-2021, to understand patterns of chilblain presentations prior to and throughout the pandemic. Using a zero-inflated negative binomial regression analysis, we estimated the relationship between local minimum temperature, COVID-19 infections and the frequency of chilblain presentations. We found a 5.72 risk ratio of chilblain incidence in relation to COVID-19 infections and a 3.23 risk ratio associated with suspected COVID-19 infections. COVID-19 infections were also more strongly associated with chilblain presentations in 0-16-year-olds throughout the pandemic in Victoria. Our study statistically suggests that chilblains are significantly associated with COVID-19 infections in a primary care setting. This has major implications for clinicians aiming to diagnose COVID-19 infections or determine the cause of a presentation of chilblains. Additionally, we demonstrate the utility of large-scale primary care data in identifying an uncommon manifestation of COVID-19 infections, which will be significantly beneficial to treating physicians.

General practice perspective on the use of telehealth during the COVID-19 pandemic in Australia using an Action Research approach: a qualitative study.

OBJECTIVES: Telehealth has emerged as a viable and safe mode of care delivery in Australia during the COVID-19 pandemic. However, electronic general practice data reveal differences in uptake and consultation mode, which we hypothesise may be due to potential barriers impacting on quality of care. We aimed to identify the benefits and barriers of telehealth use in general practice, using an 'Action Research' approach involving general practitioners (GPs) and general practice stakeholders. DESIGN: Qualitative focus group performed within a broader Action Research methodology. SETTING: A focus group was held in August 2021, with general practice participants from Victoria, Australia. PARTICIPANTS: The study consisted of a purposive sample of 11 participants, including GPs (n=4), representatives from three primary health networks (n=4) and data custodian representatives (n=3) who were part of a project stakeholder group guided by an Action Research approach. METHODS: Semistructured interview questions were used to guide focus group discussions via videoconference, which were recorded and transcribed verbatim for analysis. The transcript was analysed using an inductive thematic approach. RESULTS: Emerging themes included evolution of telehealth, barriers to telehealth (privacy, eligibility, technology, quality of care, sociodemographic and residential aged care barriers) and benefits of telehealth (practice, quality of care, sociodemographic and residential aged care benefits). CONCLUSION: The findings highlight a range of barriers to telehealth that impact general practice, but also provide justification for the continuation and development of telehealth. These results provide important context to support data-driven population-based findings on telehealth uptake. They also highlight areas of quality improvement for the enhancement of telehealth as a valuable tool for routine general practice patient care.

Telehealth use in patients with type 2 diabetes in Australian general practice during the COVID-19 pandemic: a retrospective cohort study.

BACKGROUND: The Australian government introduced temporary government-subsidised telehealth service items (phone and video-conference) in mid-March 2020 in response to the COVID-19 pandemic. The uptake of telehealth by patients with type 2 diabetes (T2DM) for consulting with GPs is unknown. AIM: To evaluate the uptake of telehealth consultations and associated patient characteristics in Australian general practice, including the frequency of haemoglobin A1c (HbA1c) tests and change in HbA1c levels by telehealth use, compared with guideline recommendations. DESIGN & SETTING: This exploratory study used electronic patient data from approximately 800 general practices in Victoria and New South Wales (NSW), Australia. A pre-COVID-19 period from March 2019-February 2020 was compared with a pandemic period from March 2020-February 2021. Patients diagnosed with T2DM before March 2018 were included. METHOD: Telehealth uptake patterns were examined overall and by patient characteristics. Generalised estimating equation models were used to examine patient probability of 6-monthly HbA1c testing and change in HbA1c levels, comparing between patients who did and patients who did not use telehealth. RESULTS: Of 57 916 patients, 80.8% had telehealth consultations during the pandemic period. Telehealth consultations were positively associated with patients with T2DM who were older, female, had chronic kidney disease (CKD), prescribed antidiabetic medications, and living in remote areas. No significant difference was found in 6-monthly HbA1c testing and HbA1c levels between telehealth users and patients who had face-to-face consultations only. CONCLUSION: Telehealth GP consultations were well utilised by patients with T2DM. Diabetes monitoring care via telehealth is as effective as face-to-face consultations.

Towards Equitable and Resilient Digital Primary Care Systems: An International Comparison and Insight for Moving Forward.

OBJECTIVE: While the COVID-19 pandemic provided a global stimulus for digital health capacity, its development has often been inequitable, short-term in planning, and lacking in health system coherence. Inclusive digital health and the development of resilient health systems are broad outcomes that require a systematic approach to achieving them. This paper from the IMIA Primary Care Informatics Working Group (WG) provides necessary first steps for the design of a digital primary care system that can support system equity and resilience. METHODS: We report on digital capability and growth in maturity in four key areas: (1) Vaccination/Prevention, (2) Disease management, (3) Surveillance, and (4) Pandemic preparedness for Australia, Canada, and the United Kingdom (data from England). Our comparison looks at seasonal influenza management prior to COVID-19 (2019-20) compared to COVID-19 (winter 2020 onwards). RESULTS: All three countries showed growth in digital maturity from the 2019-20 management of influenza to the 2020-21 year and the management of the COVID-19 pandemic. However, the degree of progress was sporadic and uneven and has led to issues of system inequity across populations. CONCLUSION: The opportunity to use the lessons learned from COVID-19 should not be wasted. A digital health infrastructure is not enough on its own to drive health system transformation and to achieve desired outcomes such as system equity and resilience. We must define specific measures to track the growth of digital maturity, including standardized and fit-for-context data that is shared accurately across the health and socioeconomic sectors.

Telehealth utilisation in residential aged care facilities during the COVID-19 pandemic: A retrospective cohort study in Australian general practice.

INTRODUCTION: Our earlier analysis during the COVID-19 surges in 2020 showed a reduction in general practitioner (GP) in-person visits to residential aged care facilities (RACFs) and increased use of telehealth. This study assessed how sociodemographic characteristics affected telehealth utilisation. METHODS: This retrospective cohort consists of 27,980 RACF residents aged 65 years and over, identified from general practice electronic health records in Victoria and New South Wales during March 2020-August 2021. Residents' demographic characteristics, including age, sex, region, and pension status, were analysed to estimate the odds ratio (OR) and 95% confidence interval (CI) for the associations with telehealth utilisation (telephone/video vs. in-person consultations) and with video versus telephone consultations, in mixed-effects multiple level regression models. RESULTS: Of 32,330 median monthly GP consultations among 21,987 residents identified in 2020, telehealth visits accounted for 17% of GP consultations, of which 93% were telephone consults. In 2021, of 32,229 median monthly GP consultations among 22,712 residents, telehealth visits accounted for 11% of GP consultations (97% by telephone). Pension holders (OR: 1.14; 95% CI: 1.10, 1.17) and those residing in rural areas (OR: 1.72; 95% CI: 1.57, 1.90) were more likely to use telehealth. However, residents in rural areas were less likely to use video than telephone in GP consultations (OR: 0.41; 95% CI: 0.29, 0.57). Results were similar in separate analyses for each COVID surge. DISCUSSION: Telephone was primarily used in telehealth consultations among pension holders and rural residents in RACFs. Along with the limited use of video in virtual care in rural RACFs, the digital divide may imply potential healthcare disparities in socially disadvantaged patients.

Telehealth-based diagnostic testing in general practice during the COVID-19 pandemic: an observational study.

BACKGROUND: Since the World Health Organization declared COVID-19 a pandemic on 11 March 2020, health technologies have been rapidly scaled up to ensure access to care. A significant innovation has been telehealth in general practice. Now widespread, it remains unknown how this shift to virtual care has impacted on quality-of-care indicators such as pathology testing and diagnosis. AIM: To undertake a comparison of telehealth and face-to-face general practice consultations to: identify if there were differences in the proportion of pathology test referrals from 2019-2020; and quantify any change in pathology test collection and follow-up patterns. DESIGN & SETTING: Retrospective observational study of routinely collected electronic patient data from 807 general practices across New South Wales (NSW) and Victoria, Australia. METHOD: Multivariate generalised estimating equation models were used to estimate the proportion of pathology test referrals for overall, face-to-face, and telehealth consultations. Pathology test follow-up was described through median (and interquartile range [IQR]) time. RESULTS: Pathology test referrals declined during periods of high COVID-19 cases, falling from 10.8% in February 2020 to a low of 4.5% during the first peak in April. Overall, pathology test referrals were lower for telehealth than face-to-face consultations. Median time between referral and test collection was 3 days (IQR 1-14) for telehealth and 1 day (IQR 0-7) for face to face. CONCLUSION: For telehealth to become part of routine care, it is crucial that gaps in functionality, including difficulty in test referral processes, be addressed. Quality improvements supporting care practices will ensure clinicians' workflows are supported and patients receive diagnostic testing.

Responding to COVID-19 with real-time general practice data in Australia.

INTRODUCTION: As SARS-CoV-2 spread around the world, Australia was no exception. Part of the Australian response was a robust primary care approach, involving changes to care models (including telehealth) and the widespread use of data to inform the changes. This paper outlines how a large primary care database responded to provide real-time data to inform policy and practice. Simply extracting the data is not sufficient. Understanding the data is. The POpulation Level Analysis and Reporting (POLAR) program is designed to use GP data for multiple objectives and is built on a pre-existing engagement framework established over a fifteen-year period. Initially developed to provide QA activities for general practices and population level data for General Practice support organisations, the POLAR platform has demonstrated the critical ability to design and deploy real-time data analytics solutions during the COVID-19 pandemic for a variety of stakeholders including state and federal government agencies. METHODS: The system extracts and processes data from over 1,300 general practices daily. Data is de-identified at the point of collection and encrypted before transfer. Data cleaning for analysis uses a variety of techniques, including Natural Language Processing and coding of free text information. The curated dataset is then distilled into several analytic solutions designed to address specific areas of investigation of interest to various stakeholders. One such analytic solution was a model we created that used multiple data inputs to rank patient geographic areas by the likelihood of a COVID-19 outbreak. The model utilised pathology ordering, COVID-19 related diagnoses, indication of COVID-19 related concern (via progress notes) and also incorporated state based actual confirmed case figures. RESULTS: Using the methods described, we were able to deliver real-time data feeds to practices, Primary Health Networks (PHN) and other agencies. In addition, we developed a COVID-19 geographic risk stratification based on local government areas (LGAs) to pro-actively inform the primary care response. Providing PHNs with a list of geographic priority hotspots allowed for better targeting and response of Personal Protective Equipment allocation and pop-up clinic placement. CONCLUSIONS: The program summarised here demonstrates the ability of a well-designed system underpinned by accurate and reliable data, to respond in real-time to a rapidly evolving public health emergency in a way which supports and enhances the health system response.

COVID-19: protocol for observational studies utilizing near real-time electronic Australian general practice data to promote effective care and best-practice policy-a design thinking approach.

BACKGROUND: Health systems around the world have been forced to make choices about how to prioritize care, manage infection control and maintain reserve capacity for future disease outbreaks. Primary healthcare has moved into the front line as COVID-19 testing transitions from hospitals to multiple providers, where tracking testing behaviours can be fragmented and delayed. Pooled general practice data are a valuable resource which can be used to inform population and individual care decision-making. This project aims to examine the feasibility of using near real-time electronic general practice data to promote effective care and best-practice policy. METHODS: The project will utilize a design thinking approach involving all collaborators (primary health networks [PHNs], general practices, consumer groups, researchers, and digital health developers, pathology professionals) to enhance the development of meaningful and translational project outcomes. The project will be based on a series of observational studies utilizing near real-time electronic general practice data from a secure and comprehensive digital health platform [POpulation Level Analysis and Reporting (POLAR) general practice data warehouse]. The study will be carried out over 1.5 years (July 2020-December 2021) using data from over 450 general practices within three Victorian PHNs and Gippsland PHN, Eastern Melbourne PHN and South Eastern Melbourne PHN, supplemented by data from consenting general practices from two PHNs in New South Wales, Central and Eastern Sydney PHN and South Western Sydney PHN. DISCUSSION: The project will be developed using a design thinking approach, leading to the building of a meaningful near real-time COVID-19 geospatial reporting framework and dashboard for decision-makers at community, state and nationwide levels, to identify and monitor emerging trends and the impact of interventions/policy decisions. This will integrate timely evidence about the impact of the COVID-19 pandemic related to its diagnosis and treatment, and its impact across clinical, population and general practice levels.