Corrigendum to: Use of electronic medical records to monitor the safe and effective prescribing of medicinal cannabis: is it feasible?

BACKGROUND: General practitioners are well positioned to contribute to the pharmacovigilance of medical cannabis via the general practice electronic medical record (EMR). The aim of this research is to interrogate de-identified patient data from the Patron primary care data repository for reports of medicinal cannabis to ascertain the feasibility of using EMRs to monitor medicinal cannabis prescribing in Australia. METHODS: EMR rule-based digital phenotyping of 1 164 846 active patients from 109 practices was undertaken to investigate reports of medicinal cannabis use from September 2017 to September 2020. RESULTS: Eighty patients with 170 prescriptions of medicinal cannabis were identified in the Patron repository. Reasons for prescription included anxiety, multiple sclerosis, cancer, nausea, and Crohn's disease. Nine patients showed symptoms of a possible adverse event, including depression, motor vehicle accident, gastrointestinal symptoms, and anxiety. CONCLUSIONS: The recording of medicinal cannabis effects in the patient EMR provides potential for medicinal cannabis monitoring in the community. This is especially feasible if monitoring were to be embedded into general practitioner workflow.

Developing and internally validating a prediction model for total knee replacement surgery in patients with osteoarthritis.

Objective: The objective of this study was to develop and internally validate a clinical algorithm for use in general practice that predicts the probability of total knee replacement (TKR) surgery within the next five years for patients with osteoarthritis. The purpose of the model is to encourage early uptake of first-line treatment strategies in patients likely to undergo TKR and to provide a cohort for the development and testing of novel interventions that prevent or delay the progression to TKR. Method: Electronic health records (EHRs) from 201,462 patients with osteoarthritis aged 45 years and over from 483 general practices across Australia were linked with records from the Australian Orthopaedic Association National Joint Replacement Registry and the National Death Index. A Fine and Gray competing risk prediction model was developed using these data to predict the risk of TKR within the next five years. Results: During a follow-up time of 5 years, 15,979 (7.9%) patients underwent TKR and 13,873 (6.9%) died. Predictors included in the final algorithm were age, previous knee replacement, knee surgery (other than TKR), prescribing of osteoarthritis medication in the 12 months prior, comorbidity count and diagnosis of a mental health condition. Optimism corrected model discrimination was 0.67 (95% CI: 0.66 to 0.67) and model calibration acceptable. Conclusion: The model has the potential to reduce some of the economic burden associated with TKR in Australia. External validation and further optimisation of the algorithm will be carried out prior to implementation within Australian general practice EHR systems.

Use of electronic medical records to monitor the safe and effective prescribing of medicinal cannabis: is it feasible?

BACKGROUND: General practitioners are well positioned to contribute to the pharmacovigilance of medical cannabis via the general practice electronic medical record (EMR). The aim of this research is to interrogate de-identified patient data from the Patron primary care data repository for reports of medicinal cannabis to ascertain the feasibility of using EMRs to monitor medicinal cannabis prescribing in Australia. METHODS: EMR rule-based digital phenotyping of 1 164 846 active patients from 109 practices was undertaken to investigate reports of medicinal cannabis use from September 2017 to September 2020. RESULTS: Eighty patients with 170 prescriptions of medicinal cannabis were identified in the Patron repository. Reasons for prescription included anxiety, multiple sclerosis, cancer, nausea, and Crohn's disease. Nine patients showed symptoms of a possible adverse event, including depression, motor vehicle accident, gastrointestinal symptoms, and anxiety. CONCLUSIONS: The recording of medicinal cannabis effects in the patient EMR provides potential for medicinal cannabis monitoring in the community. This is especially feasible if monitoring were to be embedded into general practitioner workflow.

Implementing dementia risk reduction in primary care: views of enrollees in the Preventing Dementia Massive Open Online Course.

There is a push for greater promotion of dementia risk reduction (DRR) by primary care practitioners (PCPs). The aims of this study were to understand the views of non-medically trained Australian contributors in a Massive Open Online Course (MOOC) about dementia prevention regarding the role of PCPs in promoting DRR and to consider the implications of those views for developing implementation strategies. Discussion board posts of MOOC enrollees were analysed regarding the actions that organisations, communities and/or governments should take to help people work towards DRR. Of the 1641 eligible contributors to the discussion, 160 (10%) indicated that PCPs had a role in promoting DRR. This subset of participants particularly wanted earlier identification of risk by PCPs and a discussion about DRR. Some participants thought PCPs did not currently prioritise DRR, lacked knowledge about DRR and faced Medicare and resource restrictions to promoting DRR. We suggest that PCPs need: better publicity for their role in promoting DRR; to prioritise DRR; knowledge about DRR; and to take advantage of existing opportunities to promote DRR quickly. The findings of this study should be considered when attempting to implement DRR guidelines in primary care.

Assessing the suitability of general practice electronic health records for clinical prediction model development: a data quality assessment.

BACKGROUND: The use of general practice electronic health records (EHRs) for research purposes is in its infancy in Australia. Given these data were collected for clinical purposes, questions remain around data quality and whether these data are suitable for use in prediction model development. In this study we assess the quality of data recorded in 201,462 patient EHRs from 483 Australian general practices to determine its usefulness in the development of a clinical prediction model for total knee replacement (TKR) surgery in patients with osteoarthritis (OA). METHODS: Variables to be used in model development were assessed for completeness and plausibility. Accuracy for the outcome and competing risk were assessed through record level linkage with two gold standard national registries, Australian Orthopaedic Association National Joint Replacement Registry (AOANJRR) and National Death Index (NDI). The validity of the EHR data was tested using participant characteristics from the 2014-15 Australian National Health Survey (NHS). RESULTS: There were substantial missing data for body mass index and weight gain between early adulthood and middle age. TKR and death were recorded with good accuracy, however, year of TKR, year of death and side of TKR were poorly recorded. Patient characteristics recorded in the EHR were comparable to participant characteristics from the NHS, except for OA medication and metastatic solid tumour. CONCLUSIONS: In this study, data relating to the outcome, competing risk and two predictors were unfit for prediction model development. This study highlights the need for more accurate and complete recording of patient data within EHRs if these data are to be used to develop clinical prediction models. Data linkage with other gold standard data sets/registries may in the meantime help overcome some of the current data quality challenges in general practice EHRs when developing prediction models.

Implementation of medicinal cannabis in Australia: innovation or upheaval? Perspectives from physicians as key informants, a qualitative analysis.

OBJECTIVE: We sought to explore physician perspectives on the prescribing of cannabinoids to patients to gain a deeper understanding of the issues faced by prescriber and public health advisors in the rollout of medicinal cannabis. DESIGN: A thematic qualitative analysis of 21 in-depth interviews was undertaken to explore the narrative on the policy and practice of medicinal cannabis prescribing. The analysis used the Diffusion of Innovations (DoI) theoretical framework to model the conceptualisation of the rollout of medicinal cannabis in the Australian context. SETTING: Informants from the states and territories of Victoria, New South Wales, Tasmania, Australian Capital Territory, and Queensland in Australia were invited to participate in interviews to explore the policy and practice of medicinal cannabis prescribing. PARTICIPANTS: Participants included 21 prescribing and non-prescribing key informants working in the area of neurology, rheumatology, oncology, pain medicine, psychiatry, public health, and general practice. RESULTS: There was an agreement among many informants that medicinal cannabis is, indeed, a pharmaceutical innovation. From the analysis of the informant interviews, the factors that facilitate the diffusion of medicinal cannabis into clincal practice include the adoption of appropriate regulation, the use of data to evaluate safety and efficacy, improved prescriber education, and the continuous monitoring of product quality and cost. Most informants asserted the widespread assimilation of medicinal cannabis into practice is impeded by a lack of health system antecedents that are required to facilitate safe, effective, and equitable access to medicinal cannabis as a therapeutic. CONCLUSIONS: This research highlights the tensions that arise and the factors that influence the rollout of cannabis as an unregistered medicine. Addressing these factors is essential for the safe and effective prescribing in contemporary medical practice. The findings from this research provides important evidence on medicinal cannabis as a therapeutic, and also informs the rollout of potential novel therapeutics in the future.

Association between Mental Disorders and Subsequent Medical Conditions.

BACKGROUND: Persons with mental disorders are at a higher risk than the general population for the subsequent development of certain medical conditions. METHODS: We used a population-based cohort from Danish national registries that included data on more than 5.9 million persons born in Denmark from 1900 through 2015 and followed them from 2000 through 2016, for a total of 83.9 million person-years. We assessed 10 broad types of mental disorders and 9 broad categories of medical conditions (which encompassed 31 specific conditions). We used Cox regression models to calculate overall hazard ratios and time-dependent hazard ratios for pairs of mental disorders and medical conditions, after adjustment for age, sex, calendar time, and previous mental disorders. Absolute risks were estimated with the use of competing-risks survival analyses. RESULTS: A total of 698,874 of 5,940,299 persons (11.8%) were identified as having a mental disorder. The median age of the total population was 32.1 years at entry into the cohort and 48.7 years at the time of the last follow-up. Persons with a mental disorder had a higher risk than those without such disorders with respect to 76 of 90 pairs of mental disorders and medical conditions. The median hazard ratio for an association between a mental disorder and a medical condition was 1.37. The lowest hazard ratio was 0.82 for organic mental disorders and the broad category of cancer (95% confidence interval [CI], 0.80 to 0.84), and the highest was 3.62 for eating disorders and urogenital conditions (95% CI, 3.11 to 4.22). Several specific pairs showed a reduced risk (e.g., schizophrenia and musculoskeletal conditions). Risks varied according to the time since the diagnosis of a mental disorder. The absolute risk of a medical condition within 15 years after a mental disorder was diagnosed varied from 0.6% for a urogenital condition among persons with a developmental disorder to 54.1% for a circulatory disorder among those with an organic mental disorder. CONCLUSIONS: Most mental disorders were associated with an increased risk of a subsequent medical condition; hazard ratios ranged from 0.82 to 3.62 and varied according to the time since the diagnosis of the mental disorder. (Funded by the Danish National Research Foundation and others; COMO-GMC ClinicalTrials.gov number, NCT03847753.).

Developing prediction models for total knee replacement surgery in patients with osteoarthritis: Statistical analysis plan.

Background: Approximately 12-20% of those with osteoarthritis (OA) in Australia who undergo total knee replacement (TKR) surgery do not report any clinical improvement. There is a need to develop prediction tools for use in general practice that allow early identification of patients likely to undergo TKR and those unlikely to benefit from the surgery. First-line treatment strategies can then be implemented and optimised to delay or prevent the need for TKR. The identification of potential non-responders to TKR may provide the opportunity for new treatment strategies to be developed and help ensure surgery is reserved for those most likely to benefit. This statistical analysis plan (SAP) details the statistical methodology used to develop such prediction tools. Objective: To describe in detail the statistical methods used to develop and validate prediction models for TKR surgery in Australian patients with OA for use in general practice. Methods: This SAP contains a brief justification for the need for prediction models for TKR surgery in general practice. A description of the data sources that will be linked and used to develop the models, and estimated sample sizes is provided. The planned methodologies for candidate predictor selection, model development, measuring model performance and internal model validation are described in detail. Intended table layouts for presentation of model results are provided. Conclusion: Consistent with best practice guidelines, the statistical methodologies outlined in this SAP have been pre-specified prior to data pre-processing and model development.

Maintain Your Brain: Protocol of a 3-Year Randomized Controlled Trial of a Personalized Multi-Modal Digital Health Intervention to Prevent Cognitive Decline Among Community Dwelling 55 to 77 Year Olds.

BACKGROUND: Maintain Your Brain (MYB) is a randomized controlled trial of an online multi-modal lifestyle intervention targeting modifiable dementia risk factors with its primary aim being to reduce cognitive decline in an older age cohort. METHODS: MYB aims to recruit 8,500 non-demented community dwelling 55 to 77 year olds from the Sax Institute's 45 and Up Study in New South Wales, Australia. Participants will be screened for risk factors related to four modules that comprise the MYB intervention: physical activity, nutrition, mental health, and cognitive training. Targeting risk factors will enable interventions to be personalized so that participants receive the most appropriate modules. MYB will run for three years and up to four modules will be delivered sequentially each quarter during year one. Upon completing a module, participants will continue to receive less frequent booster activities for their eligible modules (except for the mental health module) until the end of the trial. DISCUSSION: MYB will be the largest internet-based trial to attempt to prevent cognitive decline and potentially dementia. If successful, MYB will provide a model for not just effective intervention among older adults, but an intervention that is scalable for broad use.

Population effectiveness of opportunistic chlamydia testing in primary care in Australia: a cluster-randomised controlled trial.

BACKGROUND: Screening young adults who are sexually active for genital Chlamydia trachomatis infection is promoted in several high-income countries, but its effectiveness at the population level is highly debated. We aimed to investigate the effects of opportunistic chlamydia testing in primary care on the estimated chlamydia prevalence in the population aged 16-29 years in Australia. METHODS: We did a cluster-randomised controlled trial. Clusters were rural towns with a minimum of 500 women and men aged 16-29 years and no more than six primary care clinics. We randomly allocated each cluster using a computer-generated minimisation algorithm to receive a multifaceted, clinic-based chlamydia testing intervention or to continue usual care. The intervention included computerised reminders to test patients, an education package, payments for chlamydia testing, and feedback on testing rates. The primary outcome was chlamydia prevalence, estimated before randomisation (survey 1) and at the end of the trial (survey 2) in patients aged 16-29 years who attended the clinics. Analyses were done by intention to treat. General practitioners and clinic staff were aware of group allocation, whereas patients and laboratory staff who performed the chlamydia tests were not. This trial was completed on Dec 31, 2015, and is registered (ACTRN12610000297022). FINDINGS: Between Dec 14, 2010, and Sept 14, 2015, 26 clusters (63 clinics) received the chlamydia testing intervention and 26 (67 clinics) continued usual care. Over a mean duration of 3·1 years (SD 0·3), 93 828 young adults attended intervention clinics and 86 527 attended control clinics. The estimated chlamydia prevalence decreased from 5·0% (95% CI 3·8 to 6·2) at survey 1 to 3·4% (2·7 to 4·1) at survey 2 in the intervention clusters (difference -1·6%, 95% CI -2·9 to -0·3) and from 4·6% (95% CI 3·5 to 5·7) at survey 1 to 3·4% (2·4 to 4·5) at survey 2 in the control clusters (difference -1·1%, -2·7 to 0·5). The unadjusted odds ratio for the difference between intervention and control clusters was 0·9 (95% CI 0·5 to 1·5). INTERPRETATION: These findings, in conjunction with evidence about the feasibility of sustained uptake of opportunistic testing in primary care, indicate that sizeable reductions in chlamydia prevalence might not be achievable. FUNDING: Australian Government Department of Health, National Health and Medical Research Council, Victorian Department of Health and Human Services, and New South Wales Ministry of Health.

'It Opened My Eyes'-examining the impact of a multifaceted chlamydia testing intervention on general practitioners using Normalization Process Theory.

Background: Chlamydia is the most common notifiable sexually transmissible infection in Australia. Left untreated, it can develop into pelvic inflammatory disease and infertility. The majority of notifications come from general practice and it is ideally situated to test young Australians. Objectives: The Australian Chlamydia Control Effectiveness Pilot (ACCEPt) was a multifaceted intervention that aimed to reduce chlamydia prevalence by increasing testing in 16- to 29-year-olds attending general practice. GPs were interviewed to describe the effectiveness of the ACCEPt intervention in integrating chlamydia testing into routine practice using Normalization Process Theory (NPT). Methods: GPs were purposively selected based on age, gender, geographic location and size of practice at baseline and midpoint. Interview data were analysed regarding the intervention components and results were interpreted using NPT. Results: A total of 44 GPs at baseline and 24 at midpoint were interviewed. Most GPs reported offering a test based on age at midpoint versus offering a test based on symptoms or patient request at baseline. Quarterly feedback was the most significant ACCEPt component for facilitating a chlamydia test. Conclusions: The ACCEPt intervention has been able to moderately normalize chlamydia testing among GPs, although the components had varying levels of effectiveness. NPT can demonstrate the effective implementation of an intervention in general practice and has been valuable in understanding which components are essential and which components can be improved upon.

An evaluation of the additional benefit of population screening for dementia beyond a passive case-finding approach.

OBJECTIVE: General practitioners (GPs) fail to identify more than 50% of dementia cases using the existing passive case-finding approach. Using data from the "Ageing in General Practice" study, we sought to establish the additional benefit of screening all patients over the age of 75 for dementia beyond those patients already identified by passive case-finding. METHOD: Patients were classified as "case-finding" (n = 425) or "screening" (n = 1006) based on their answers to four subjective memory related questions or their GP's clinical judgement of their dementia status. Cognitive status of each patient was formally assessed by a research nurse using the Cambridge Cognition Examination (CAMCOG-R). Patients then attended their usual GP for administration of the GP assessment of Cognition (GPCOG) dementia screening instrument, and follow-up care and/or referral as necessary in light of the outcome. RESULTS: The prevalence of dementia was significantly higher in the case-finding group (13.6%) compared to the screening group (4.6%; p < 0.01). The GPCOG had a positive predictive value (PPV) of 61% in the case-finding group and 39% in the screening group; negative predictive value was >95% in both groups. GPs and their patients both found the GPCOG to be an acceptable cognitive assessment tool. The dementia cases missed via case-finding were younger (p = 0.024) and less cognitively impaired (p = 0.020) than those detected. CONCLUSION: There is a very limited benefit of screening for dementia, as most people with dementia could be detected using a case-finding approach, and considerable potential for social and economic harm because of the low PPV associated with screening.

Screening for Dementia in Primary Care: A Comparison of the GPCOG and the MMSE.

BACKGROUND/AIMS: The General Practitioner Assessment of Cognition (GPCOG) is a brief cognitive test. This study compared the GPCOG to the Mini-Mental State Examination (MMSE), the most widely used test, in terms of their ability to detect likely dementia in primary care. METHODS: General practitioners across three states in Australia recruited 2,028 elderly patients from the community. A research nurse administered the GPCOG and the MMSE, as well as the Cambridge Examination for Mental Disorders of the Elderly Cognitive Scale-Revised that we used to define likely dementia. RESULTS: Overall, the GPCOG and the MMSE were similarly effective at detecting likely dementia. The GPCOG, however, had a higher sensitivity than the MMSE when using published cutpoints. CONCLUSION: The GPCOG is an effective screening tool for dementia in primary care. It appears to be a viable alternative to the MMSE, whilst also requiring less time to administer.

Improving chlamydia knowledge should lead to increased chlamydia testing among Australian general practitioners: a cross-sectional study of chlamydia testing uptake in general practice.

BACKGROUND: Female general practitioners (GPs) have higher chlamydia testing rates than male GPs, yet it is unclear whether this is due to lack of knowledge among male GPs or because female GPs consult and test more female patients. METHODS: GPs completed a survey about their demographic details and knowledge about genital chlamydia. Chlamydia testing and consultation data for patients aged 16-29 years were extracted from the medical records software for each GP and linked to their survey responses. Chi-square tests were used to determine differences in a GP's knowledge and demographics. Two multivariable models that adjusted for the gender of the patient were used to investigate associations between a GP and their chlamydia testing rates - Model 1 included GPs' characteristics such as age and gender, Model 2 excluded these characteristics to specifically examine any associations with knowledge. RESULTS: Female GPs were more likely than male GPs to know when to re-test a patient after a negative chlamydia test (18.8% versus 9.7%, p = 0.01), the correct symptoms suggestive of PID (80.5% versus 67.8%, p = 0.01) and the correct tests for diagnosing PID (57.1% versus 42.6%, p = 0.01). Female GPs tested 6.5% of patients, while male GPs tested 2.2% (p < 0.01). Model 1 found factors associated with chlamydia testing were being a female GP (OR = 2.5, 95% CI: 1.9, 3.3) and working in a metropolitan clinic (OR = 3.2; 95% CI: 2.4, 4.3). Model 2 showed that chlamydia testing increased as knowledge of testing guidelines improved (3-5 correct answers - AOR = 2.0, 95% CI: 1.0, 4.2; 6+ correct answers - AOR = 2.9, 95% CI: 1.4, 6.2). CONCLUSIONS: Higher rates of chlamydia testing are strongly associated with GPs who are female, based in a metropolitan clinic and among those with more knowledge of the recommended guidelines. Improving chlamydia knowledge among male GPs may increase chlamydia testing.

Prospective analysis of rural-urban differences in demographic patterns and outcomes following total joint replacement.

OBJECTIVE: Little is known about whether rural-urban differences exist in patients after hip and knee joint replacement surgery. We compared patient characteristics, pain and functional outcomes of rural and urban patients undergoing joint replacement surgery in a single high-volume metropolitan centre. DESIGN: Prospective cohort study conducted in patients who underwent primary elective hip (THJR) or knee replacement (TKJR) between 1 January 2006 and 31 December 2009. SETTING: A university-affiliated tertiary referral centre situated in the central metropolitan region of Melbourne, Australia. PARTICIPANTS: One thousand nine hundred fifty-five consecutive patients undergoing primary total joint replacement. MAIN OUTCOME MEASURE: Pain and function were assessed preoperatively and 12 and 24 months postoperatively. The main independent variable was geographic location specifically comparing patients residing in rural/regional compared with urban communities. RESULTS: A total of 2193 primary joint replacements were performed (981 THJR and 1212 TKJR) in 1955 patients. Rural patients presented at a younger age and with earlier radiographic disease than their urban counterparts. There was a higher rate of rheumatoid arthritis among rural patients presenting for TKJR. There was no difference in pain and function scores between groups at 12 and 24 months post-surgery. CONCLUSION: In our series of 1955 patients undergoing total hip and knee joint replacement surgery, rural patients presented at a younger age and an earlier stage of disease progression. At 24 months, rural patients had pain and functional outcomes as good as their urban counterparts. More research is required to determine which factors lead to the early presentation of rural patients.

Selecting those to refer for joint replacement: who will likely benefit and who will not?

Osteoarthritis (OA) is one of the 10 most disabling diseases in developed countries and worldwide estimates are that 10% of men and 18% of women aged over 60 years have symptomatic OA, including moderate and severe forms. Total joint replacement (TJR) is considered the most effective treatment for end-stage OA in those who have exhausted available conservative interventions. The demand for TJR is continually rising due to the ageing population; in the United States, more than 1 million TJRs were performed in 2010 and the number of procedures is projected to exceed 4 million in the US by 2030. It has been estimated that of all hip and knee replacements performed, approximately one quarter of the patients may be considered inappropriate candidates. Predicting who will benefit from TJR and who will not would seem critical in terms of containing the current and projected expenditure as well as improving satisfaction in TJR recipients. Few formal predictive tools are available to aid referring clinicians to determine those likely to be good or poor responders to surgery and current available tools tend to focus on disease severity alone with little consideration of risk factors that may predict a poor outcome or impede an effective response to surgery. This review examines the tools available to assist with assessing appropriateness for TJR; investigates the modifiable risk factors associated with poor outcome; and identifies areas for future research in selecting those appropriate for joint replacement.

A trajectory-based approach to understand the factors associated with persistent depressive symptoms in primary care.

BACKGROUND: Depression screening in primary care yields high numbers. Knowledge of how depressive symptoms change over time is limited, making decisions about type, intensity, frequency and length of treatment and follow-up difficult. This study is aimed to identify depressive symptom trajectories and associated socio-demographic, co-morbidity, health service use and treatment factors to inform clinical care. METHODS: 789 people scoring 16 or more on the CES-D recruited from 30 randomly selected Australian family practices. Depressive symptoms are measured using PHQ-9 at 3, 6, 9 and 12 months. RESULTS: Growth mixture modelling identified a five-class trajectory model as the best fitting (lowest Bayesian Information Criterion): three groups were static (mild (n=532), moderate (n=138) and severe (n=69)) and two were dynamic (decreasing severity (n=32) and increasing severity (n=18)). The mild symptom trajectory was the most common (n=532). The severe symptom trajectory group (n=69) differed significantly from the mild symptom trajectory group on most variables. The severe and moderate groups were characterised by high levels of disadvantage, abuse, morbidity and disability. Decreasing and increasing severity trajectory classes were similar on most variables. LIMITATIONS: Adult only cohort, self-report measures. CONCLUSIONS: Most symptom trajectories remained static, suggesting that depression, as it presents in primary care, is not always an episodic disorder. The findings indicate future directions for building prognostic models to distinguish those who are likely to have a mild course from those who are likely to follow more severe trajectories. Determining appropriate clinical responses based upon a likely depression course requires further research.

Identifying intimate partner violence when screening for health and lifestyle issues among women attending general practice.

Intimate partner violence is a common but under-recognised issue for women attending primary care. There is a lack of studies looking at women's comfort to discuss and openness to getting help for health issues, including fear of a partner, in primary care. Female patients (aged 16-50 years) attending 55 general practitioners (GPs) in Victoria, Australia were mailed a brief survey that screened for health and lifestyle issues, comfort to discuss these issues and intention to get help in primary care. Needing physical activity and smoking were the issues women were most comfortable to discuss; followed by difficulty controlling what and/or how much is eaten, feeling down, depressed, hopeless or worried, and use of drugs or alcohol. Women were least comfortable to discuss fear of a partner and least likely to seek help for it from the GP or primary care nurse. However, as with the other issues, acceptability of being asked in a survey was high. All health and lifestyle issues predicted fear of a partner. Primary care practitioners should be aware of this complex major public health issue especially when carrying out preventive health care.

'The difference in determinants of Chlamydia trachomatis and Mycoplasma genitalium in a sample of young Australian women'.

BACKGROUND: Differences in the determinants of Chlamydia trachomatis ('chlamydia') and Mycoplasma genitalium (MG) genital infection in women are not well understood. METHODS: A cohort study of 16 to 25 year old Australian women recruited from primary health care clinics, aimed to determine chlamydia and MG prevalence and incidence. Vaginal swabs collected at recruitment were used to measure chlamydia and MG prevalence, organism-load and chlamydia-serovar a cross-sectional analysis undertaken on the baseline results is presented here. RESULTS: Of 1116 participants, chlamydia prevalence was 4.9% (95% CI: 2.9, 7.0) (n = 55) and MG prevalence was 2.4% (95% CI: 1.5, 3.3) (n = 27). Differences in the determinants were found - chlamydia not MG, was associated with younger age [AOR:0.9 (95% CI: 0.8, 1.0)] and recent antibiotic use [AOR:0.4 (95% CI: 0.2, 1.0)], and MG not chlamydia was associated with symptoms [AOR:2.1 (95% CI: 1.1, 4.0)]. Having two or more partners in last 12 months was more strongly associated with chlamydia [AOR:6.4 (95% CI: 3.6, 11.3)] than MG [AOR:2.2 (95% CI: 1.0, 4.6)] but unprotected sex with three or more partners was less strongly associated with chlamydia [AOR:3.1 (95%CI: 1.0, 9.5)] than MG [AOR:16.6 (95%CI: 2.0, 138.0)]. Median organism load for MG was 100 times lower (5.7 × 104/swab) than chlamydia (5.6 × 106/swab) (p < 0.01) and not associated with age or symptoms for chlamydia or MG. CONCLUSIONS: These results demonstrate significant chlamydia and MG prevalence in Australian women, and suggest that the differences in strengths of association between numbers of sexual partners and unprotected sex and chlamydia and MG might be due to differences in the transmission dynamics between these infections.