Browsing by Author "Gunn, Jane"

Now showing 1 - 2 of 2
  • Thumbnail Image
    ItemOpen Access
    Assessing the suitability of general practice electronic health records for clinical prediction model development: a data quality assessment
    (2021-10-30) Thuraisingam, Sharmala; Chondros, Patty; Dowsey, Michelle M.; Spelman, Tim; Garies, Stephanie; Choong, Peter F.; Gunn, Jane; Manski-Nankervis, Jo-Anne
    Abstract 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.
  • Thumbnail Image
    ItemOpen Access
    The PRESIDE (PhaRmacogEnomicS In DEpression) Trial: a double-blind randomised controlled trial of pharmacogenomic-informed prescribing of antidepressants on depression outcomes in patients with major depressive disorder in primary care
    (2023-05-19) Saya, Sibel; Chondros, Patty; Abela, Anastasia; Mihalopolous, Cathrine; Chatterton, Mary L.; Gunn, Jane; Chen, Timothy F.; Polasek, Thomas M.; Dettmann, Elise; Brooks, Rachel; King, Michelle; Spencer, Luke; Alphonse, Pavithran; Milton, Shakira; Ramsay, Georgia; Siviour, Zoe; Liew, Jamie; Ly, Philip; Thoenig, Matthew; Seychell, Raushaan; La Rocca, Floriana; Hesson, Luke B.; Mejias, Nydia; Sivertsen, Terri; Galea, Melanie A.; Bousman, Chad; Emery, Jon
    Abstract Background The evidence for the clinical utility of pharmacogenomic (PGx) testing is growing, and guidelines exist for the use of PGx testing to inform prescribing of 13 antidepressants. Although previous randomised controlled trials of PGx testing for antidepressant prescribing have shown an association with remission of depression in clinical psychiatric settings, few trials have focused on the primary care setting, where most antidepressant prescribing occurs. Methods The PRESIDE Trial is a stratified double-blinded randomised controlled superiority trial that aims to evaluate the impact of a PGx-informed antidepressant prescribing report (compared with standard prescribing using the Australian Therapeutic Guidelines) on depressive symptoms after 12 weeks, when delivered in primary care. Six hundred seventy-two patients aged 18–65 years of general practitioners (GPs) in Victoria with moderate to severe depressive symptoms, measured using the Patient Health Questionnaire-9 (PHQ-9), will be randomly allocated 1:1 to each arm using a computer-generated sequence. Participants and GPs will be blinded to the study arm. The primary outcome is a difference between arms in the change of depressive symptoms, measured using the PHQ-9 after 12 weeks. Secondary outcomes include a difference between the arms in change in PHQ-9 score at 4, 8 and 26 weeks, proportion in remission at 12 weeks, a change in side effect profile of antidepressant medications, adherence to antidepressant medications, change in quality of life and cost-effectiveness of the intervention. Discussion This trial will provide evidence as to whether PGx-informed antidepressant prescribing is clinically efficacious and cost-effective. It will inform national and international policy and guidelines about the use of PGx to select antidepressants for people with moderate to severe depressive symptoms presenting in primary care. Trial registration Australian and New Zealand Clinical Trial Registry ACTRN12621000181808. Registered on 22 February 2021.