General Practice and Primary Care - Research Publications

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    Australian Health Research Alliance: national priorities in data-driven health care improvement
    Teede, HJ ; Johnson, A ; Buttery, J ; Jones, CA ; Boyle, DIR ; Jennings, GLR ; Shaw, T (WILEY, 2019-12)
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    Analysis of laboratory testing results collected in an enhanced chlamydia surveillance system in Australia, 2008-2010
    Dimech, W ; Lim, MSC ; Van Gemert, C ; Guy, R ; Boyle, D ; Donovan, B ; Hellard, M (BIOMED CENTRAL LTD, 2014-06-12)
    BACKGROUND: Chlamydial infection is the most common notifiable disease in Australia, Europe and the US. Australian notifications of chlamydia rose four-fold from 20,274 cases in 2002 to 80,846 cases in 2011; the majority of cases were among young people aged less than 29 years. Along with test positivity rates, an understanding of the number of tests performed and the demographics of individuals being tested are key epidemiological indicators. The ACCESS Laboratory Network was established in 2008 to address this issue. METHODS: The ACCESS Laboratory Network collected chlamydia testing data from 15 laboratories around Australia over a three-year period using data extraction software. All chlamydia testing data from participating laboratories were extracted from the laboratory information system; patient identifiers converted to a unique, non-reversible code and de-identified data sent to a single database. Analysis of data by anatomical site included all specimens, but in age and sex specific analysis, only one testing episode was counted. RESULTS: From 2008 to 2010 a total of 628,295 chlamydia tests were referred to the 15 laboratories. Of the 592,626 individual episodes presenting for testing, 70% were from female and 30% from male patients. In female patients, chlamydia positivity rate was 6.4% overall; the highest rate in 14 year olds (14.3%). In male patients, the chlamydia positivity rate was 9.4% overall; the highest in 19 year olds (16.5%). The most common sample type was urine (57%). In 3.2% of testing episodes, multiple anatomical sites were sampled. Urethral swabs gave the highest positivity rate for all anatomical sites in both female (7.7%) and male patients (14%), followed by urine (7.6% and 9.4%, respectively) and eye (6.3% and 7.9%, respectively). CONCLUSIONS: The ACCESS Laboratory Network data are unique in both number and scope and are representative of chlamydia testing in both general practice and high-risk clinics. The findings from these data highlight much lower levels of testing in young people aged 20 years or less; in particular female patients aged less than 16 years, despite being the group with the highest positivity rate. Strategies are needed to increase the uptake of testing in this high-risk group.
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    Improving the identification of priority populations to increase hepatitis B testing rates, 2012
    van Gemert, C ; Wang, J ; Simmons, J ; Cowie, B ; Boyle, D ; Stoove, M ; Enright, C ; Hellard, M (BMC, 2016-02-01)
    BACKGROUND: It is estimated that over 40 % of the 218,000 people with chronic hepatitis B (CHB) in Australia in 2011 are undiagnosed. A disproportionate number of those with undiagnosed infection were born in the Asia-Pacific region. Undiagnosed CHB can lead to ongoing transmission and late diagnosis limits opportunities to prevent progression to hepatocellular carcinoma (HCC) and cirrhosis. Strategies are needed to increase testing for hepatitis B virus (HBV) (including culturally and linguistically diverse communities, Aboriginal and/or Torres Strait Islander (Indigenous) people and people who inject drugs). General practitioners (GPs) have a vital role in increasing HBV testing and the timely diagnosis CHB. This paper describes the impact of a GP-based screening intervention to improve CHB diagnosis among priority populations in Melbourne, Australia. METHODS: A non-randomised, pre-post intervention study was conducted between 2012 and 2013 with three general practices in Melbourne, Australia. Using clinic electronic health records three priority populations known to be at increased CHB risk in Australia (1: Asian-born patients or patients of Asian ethnicity living in Australia; 2: Indigenous people; or 3): people with a history of injecting drugs were identified and their HBV status recorded. A random sample were then invited to attend their GP for HBV testing and/or vaccination. Baseline and follow-up electronic data collection identified patients that subsequently had a consultation and HBV screening test and/or vaccination. RESULTS: From a total of 33,297 active patients, 2674 (8 %) were identified as a priority population at baseline; 2275 (85.1 %) of these patients had unknown HBV status from which 338 (14.0 %) were randomly sampled. One-fifth (n = 73, 21.6 %) of sampled patients subsequently had a GP consultation during the study period; only four people (5.5 %) were subsequently tested for HBV (CHB detected in n = 1) and none were vaccinated against HBV. CONCLUSION: CHB infection is an important long-term health issue in Australia and strategies to increase appropriate and timely testing are required. The study was effective at identifying whether Asian-born patients and patients of Asian had been tested or vaccinated for HBV; however the intervention was not effective at increasing HBV testing.
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    Results of the first recorded evaluation of a national gestational diabetes mellitus register: Challenges in screening, registration, and follow-up for diabetes risk
    Boyle, DIR ; Versace, VL ; Dunbar, JA ; Scheil, W ; Janus, E ; Oats, JJN ; Skinner, T ; Shih, S ; O'Reilly, S ; Sikaris, K ; Kelsall, L ; Phillips, PA ; Best, JD ; Barengo, NC (PUBLIC LIBRARY SCIENCE, 2018-08-08)
    OBJECTIVE: Gestational Diabetes Mellitus (GDM) increases the risk of type 2 diabetes. A register can be used to follow-up high risk women for early intervention to prevent progression to type 2 diabetes. We evaluate the performance of the world's first national gestational diabetes register. RESEARCH DESIGN AND METHODS: Observational study that used data linkage to merge: (1) pathology data from the Australian states of Victoria (VIC) and South Australia (SA); (2) birth records from the Consultative Council on Obstetric and Paediatric Mortality and Morbidity (CCOPMM, VIC) and the South Australian Perinatal Statistics Collection (SAPSC, SA); (3) GDM and type 2 diabetes register data from the National Gestational Diabetes Register (NGDR). All pregnancies registered on CCOPMM and SAPSC for 2012 and 2013 were included-other data back to 2008 were used to support the analyses. Rates of screening for GDM, rates of registration on the NGDR, and rates of follow-up laboratory screening for type 2 diabetes are reported. RESULTS: Estimated GDM screening rates were 86% in SA and 97% in VIC. Rates of registration on the NGDR ranged from 73% in SA (2013) to 91% in VIC (2013). During the study period rates of screening at six weeks postpartum ranged from 43% in SA (2012) to 58% in VIC (2013). There was little evidence of recall letters resulting in screening 12 months follow-up. CONCLUSIONS: GDM Screening and NGDR registration was effective in Australia. Recall by mail-out to young mothers and their GP's for type 2 diabetes follow-up testing proved ineffective.
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    How do general practitioners access guidelines and utilise electronic medical records to make clinical decisions on antibiotic use? Results from an Australian qualitative study
    Biezen, R ; Roberts, C ; Buising, K ; Thursky, K ; Boyle, D ; Lau, P ; Clark, M ; Manski-Nankervis, J-A (BMJ PUBLISHING GROUP, 2019-08)
    OBJECTIVE: This study aimed to explore how general practitioners (GPs) access and use both guidelines and electronic medical records (EMRs) to assist in clinical decision-making when prescribing antibiotics in Australia. DESIGN: This is an exploratory qualitative study with thematic analysis interpreted using the Theory of Planned Behaviour (TPB) framework. SETTING: This study was conducted in general practice in Victoria, Australia. PARTICIPANTS: Twenty-six GPs from five general practices were recruited to participate in five focus groups between February and April 2018. RESULTS: GPs expressed that current EMR systems do not provide clinical decision support to assist with antibiotic prescribing. Access and use of guidelines were variable. GPs who had more clinical experience were less likely to access guidelines than younger and less experienced GPs. Guideline use and guideline-concordant prescribing was facilitated if there was a practice culture encouraging evidence-based practice. However, a lack of access to guidelines and perceived patients' expectation and demand for antibiotics were barriers to guideline-concordant prescribing. Furthermore, guidelines that were easy to access and navigate, free, embedded within EMRs and fit into the clinical workflow were seen as likely to enhance guideline use. CONCLUSIONS: Current barriers to the use of antibiotic guidelines include GPs' experience, patient factors, practice culture, and ease of access and cost of guidelines. To reduce inappropriate antibiotic prescribing and to promote more rational use of antibiotic in the community, guidelines should be made available, accessible and easy to use, with minimal cost to practicing GPs. Integration of evidence-based antibiotic guidelines within the EMR in the form of a clinical decision support tool could optimise guideline use and increase guideline-concordant prescribing.
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    Gathering data for decisions: best practice use of primary care electronic records for research
    Canaway, R ; Boyle, DIR ; Manski-Nankervis, J-AE ; Bell, J ; Hocking, JS ; Clarke, K ; Clark, M ; Gunn, JM ; Emery, JD (WILEY, 2019-03-31)
    In Australia, there is limited use of primary health care data for research and for data linkage between health care settings. This puts Australia behind many developed countries. In addition, without use of primary health care data for research, knowledge about patients' journeys through the health care system is limited. There is growing momentum to establish "big data" repositories of primary care clinical data to enable data linkage, primary care and population health research, and quality assurance activities. However, little research has been conducted on the general public's and practitioners' concerns about secondary use of electronic health records in Australia. International studies have identified barriers to use of general practice patient records for research. These include legal, technical, ethical, social and resource-related issues. Examples include concerns about privacy protection, data security, data custodians and the motives for collecting data, as well as a lack of incentives for general practitioners to share data. Addressing barriers may help define good practices for appropriate use of health data for research. Any model for general practice data sharing for research should be underpinned by transparency and a strong legal, ethical, governance and data security framework. Mechanisms to collect electronic medical records in ethical, secure and privacy-controlled ways are available. Before the potential benefits of health-related data research can be realised, Australians should be well informed of the risks and benefits so that the necessary social licence can be generated to support such endeavours.
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    Improving a Secondary Use Health Data Warehouse: Proposing a Multi-Level Data Quality Framework
    Henley-Smith, S ; Boyle, D ; Gray, K (Ubiquity Press, Ltd., 2019-08-02)
    Background: Data quality frameworks within information technology and recently within health care have evolved considerably since their inception. When assessing data quality for secondary uses, an area not yet addressed adequately in these frameworks is the context of the intended use of the data. Methods: After review of literature to identify relevant research, an existing data quality framework was refined and expanded to encompass the contextual requirements not present. Results: The result is a two-level framework to address the need to maintain the intrinsic value of the data, as well as the need to indicate whether the data will be able to provide the basis for answers in specific areas of interest or questions. Discussion: Data quality frameworks have always been one dimensional, requiring the implementers of these frameworks to fit the requirements of the data’s use around how the framework is designed to function. Our work has systematically addressed the shortcomings of existing frameworks, through the application of concepts synthesized from the literature to the naturalistic setting of data quality management in an actual health data warehouse. Conclusion: Secondary use of health data relies on contextualized data quality management. Our work is innovative in showing how to apply context around data quality characteristics and how to develop a second level data quality framework, so as to ensure that quality and context are maintained and addressed throughout the health data quality assessment process.
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    Chlamydia sentinel surveillance in Aboriginal Community Controlled Health Services finds higher testing and positivity rates among younger people
    Goller, JL ; Ward, J ; Saunders, M ; Couzos, S ; Kaldor, J ; Hellard, MA (WILEY, 2012-12)
    OBJECTIVE: To measure chlamydia testing and positivity rates among 16-39 year olds attending Aboriginal Community Controlled Health Services (ACCHSs). METHODS: Retrospective non-identifiable computerised records containing consultation and chlamydia testing data were collected for patients (16-39 years) attending eight ACCHSs during 2008-09 in urban, regional and remote settings for the Australian Collaboration for Chlamydia Enhanced Sentinel Surveillance (ACCESS) system. Annual chlamydia testing and positivity rates were estimated. RESULTS: Over two years, 13,809 patients aged 16-39 years (57.8% female, 82.3% Aboriginal or Torres Strait Islander) attended. The annual overall chlamydia testing rate was 13.0% (2008) and 16.0% (2009). Testing rates were higher among females (p<0.001) and among patients aged 16-29 than 30-39 years (males: p=0.01; females: p<0.001). Chlamydia positivity was 8.5% overall; similar in females (8.7%) and males (7.8%) (p=0.46); highest among 16-19 years (females: 17.4%; males: 13.0%), declining to 1.5% among females 35-39 years (p<0.001) and 4.8% among males 30-34 years (p<0.001). CONCLUSIONS: Chlamydia testing at these ACCHSs approached recommended levels among some patient groups, however, it should increase. High positivity among younger people highlights they should be targeted. IMPLICATIONS: Young people should be targeted for sexual health interventions. ACCHSs are well placed to provide enhanced sexual health services if appropriately resourced.