Medicine, Dentistry & Health Sciences Collected Works - Research Publications

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    Self-reported reasons for reducing or stopping antidepressant medications in primary care: thematic analysis of the diamond longitudinal study
    Coe, A ; Gunn, J ; Fletcher, S ; Murray, E ; Kaylor-Hughes, C (CAMBRIDGE UNIV PRESS, 2023-02-27)
    BACKGROUND: Current treatment guidelines advise that the deprescribing of antidepressants should occur around 6 months post-remission of symptoms. However, this is not routinely occurring in clinical practice, with between 30% and 50% of antidepressant users potentially continuing treatment with no clinical benefit. To support patients to deprescribe antidepressant treatment when clinically appropriate, it is important to understand what is important to patients when making the decision to reduce or cease antidepressants in a naturalistic setting. AIM: The current study aimed to describe the self-reported reasons primary care patients have for reducing or stopping their antidepressant medication. METHODS: Three hundred and seven participants in the diamond longitudinal study reported taking an SSRI/SNRI over the life of the study. Of the 307, 179 reported stopping or tapering their antidepressant during computer-assisted telephone interviews and provided a reason for doing so. A collective case study approach was used to collate the reasons for stopping or tapering. FINDINGS: Reflexive thematic analysis of patient-reported factors revealed five overarching themes; 1. Depression; 2. Medication; 3. Healthcare system; 4. Psychosocial, and; 5. Financial. These findings are used to inform suggestions for the development and implementation of antidepressant deprescribing discussions in clinical practice.
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    Developing and internally validating a prediction model for total knee replacement surgery in patients with osteoarthritis.
    Thuraisingam, S ; Chondros, P ; Manski-Nankervis, J-A ; Spelman, T ; Choong, PF ; Gunn, J ; Dowsey, MM (Elsevier BV, 2022-09)
    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.
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    Dementia Risk Reduction in Primary Care: A Scoping Review of Clinical Guidelines Using a Behavioral Specificity Framework
    Godbee, K ; Guccione, L ; Palmer, VJ ; Gunn, J ; Lautenschlager, N ; Francis, JJ ; Macpherson, H (IOS PRESS, 2022)
    BACKGROUND: Primary care practitioners are being called upon to work with their patients to reduce dementia risk. However, it is unclear who should do what with whom, when, and under what circumstances. OBJECTIVE: This scoping review aimed to identify clinical guidelines for dementia risk reduction (DRR) in primary care settings, synthesize the guidelines into actionable behaviors, and appraise the guidelines for specificity. METHODS: Terms related to "dementia", "guidelines", and "risk reduction" were entered into two academic databases and two web search engines. Guidelines were included if they referred specifically to clinical practices for healthcare professionals for primary prevention of dementia. Included guidelines were analyzed using a directed content analysis method, underpinned by the Action-Actor-Context-Target-Time framework for specifying behavior. RESULTS: Eighteen guidelines were included in the analysis. Together, the guidelines recommended six distinct clusters of actions for DRR. These were to 1) invite patients to discuss DRR, 2) identify patients with risk factors for dementia, 3) discuss DRR, 4) manage dementia risk factors, 5) signpost to additional support, and 6) follow up. Guidelines recommended various actors, contexts, targets, and times for performing these actions. Together, guidelines lacked specificity and were at times contradictory. CONCLUSION: Currently available guidelines allow various approaches to promoting DRR in primary care. Primary care teams are advised to draw on the results of the review to decide which actions to undertake and the locally appropriate actors, contexts, targets, and times for these actions. Documenting these decisions in more specific, local guidelines for promoting DRR should facilitate implementation.
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    Factors associated with non-initiation of mental healthcare after detection of poor mental health at a scheduled health check: a cohort study
    Geyti, C ; Christensen, KS ; Dalsgaard, E-M ; Bech, BH ; Gunn, J ; Maindal, HT ; Sandbaek, A (BMJ PUBLISHING GROUP, 2020)
    INTRODUCTION: Poor mental health is an important public health concern, but mental health problems are often under-recognised. Providing feedback to general practitioners (GPs) on their patients' mental health status may improve the identification of cases in need of mental healthcare. OBJECTIVES: To investigate the extent of initiation of mental healthcare after identification of poor mental health and to identify factors associated with non-initiation. DESIGN: Prospective cohort study with 1-year follow-up. SETTING: In a population-based health preventive programme, Check Your Health, we conducted a combined mental and physical health check in Randers Municipality, Denmark, in 2012-2015 in collaboration with local GPs. PARTICIPANTS: Participants were 350 individuals aged 30-49 years old with screen-detected poor mental health who had not received mental healthcare within the past year. The cohort was derived from 14 167 randomly selected individuals of whom 52% (n=7348) participated. Mental health was assessed by the mental component summary score of the 12-item Short-Form Health Survey. OUTCOME: The outcome was initiation of mental healthcare. Mental healthcare included psychometric testing by GP, talk therapy by GP, contact with a psychologist, contact with a psychiatrist and psychotropic medication. RESULTS: Within 1 year, 22% (95% CI 18 to 27) of individuals with screen-detected poor mental health initiated mental healthcare. Among individuals who initiated mental healthcare within follow-up, one in six had visited their GP once or less in the preceding year. Male sex (OR: 0.49 (95% CI 0.28 to 0.86)) and less impaired mental health (OR: 0.93 (95% CI 0.89 to 0.98)) were associated with non-initiation of mental healthcare. We found no overall association between socioeconomic factors and initiating mental healthcare. CONCLUSION: Systematic provision of mental health test results to GPs may improve the identification of cases in need of mental healthcare, but does not translate into initiation of mental healthcare. Further research should focus on methods to improve initiation of mental healthcare, especially among men. TRIAL REGISTRATION NUMBER: NCT02028195.
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    The influence of personality on trajectories of distress, health and functioning in mild-to-moderately depressed adults with type 2 diabetes
    Sanatkar, S ; Baldwin, P ; Clarke, J ; Fletcher, S ; Gunn, J ; Wilhelm, K ; Campbell, L ; Zwar, N ; Harris, M ; Lapsley, H ; Hadzi-Pavlovic, D ; Christensen, H ; Proudfoot, J (ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD, 2020-03-15)
    Identification of mental health risk is important for optimising diabetes care in type 2 diabetes mellitus (T2DM). Personality is linked to diabetes health and may assist detection of individuals with T2DM most at risk of chronic mental health difficulties. This study examined the moderator effect of personality factors on changes in psychological distress and functioning in adults with T2DM and mild-to-moderate depressive symptoms across a 12-month period. Data were obtained from participants in a randomised controlled trial of adults with T2DM.  Participants completed measures of depression (Patient Health Questionnaire-9), anxiety (General Anxiety Disorder-7), general functioning (Work and Social Adjustment Scale), diabetes distress (Diabetes Distress Scale), and diabetes self-management (Self-Management Profile for Type 2 Diabetes) at baseline, 3-, 6- and 12-months. Glycaemic control (HbA1c) was measured at baseline, 6- and 12-months. Two hundred trial completers agreed to complete a personality inventory (Big Five Inventory). Low neuroticism was linked with reduced depression, anxiety, functional impairment and diabetes distress over the year. High extraversion was associated with decreased anxiety and functional impairment. High conscientiousness was linked to increased healthy eating. No personality trait moderated HbA1c levels. Personality screening may help identify mental health risk and guide medical carer approach in T2DM patients.