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Diagnosing and managing work-related mental health conditions in general practice: new Australian clinical practice guidelines.

ABSTRACT: INTRODUCTION:In Australia, mental health conditions (MHCs) arising from workplace factors are a leading cause of long term work incapacity and absenteeism. While most patients are treated in general practice, general practitioners report several challenges associated with diagnosing and managing workplace MHCs. This guideline, approved by the National Health and Medical Research Council and endorsed by the Royal Australian College of General Practitioners and the Australian College of Rural and Remote Medicine, is the first internationally to address the clinical complexities associated with diagnosing and managing work-related MHCs in general practice. MAIN RECOMMENDATIONS:Our 11 evidence-based recommendations and 19 consensus-based statements aim to assist GPs with: the assessment of symptoms and diagnosis of a work-related MHC; the early identification of an MHC that develops as a comorbid or secondary condition after an initial workplace injury; determining if an MHC has arisen as a result of work factors; managing a work-related MHC to improve personal recovery or return to work; determining if a patient can work in some capacity; communicating with the patient's workplace; and managing a work-related MHC that is not improving as anticipated. CHANGES IN MANAGEMENT AS RESULT OF THE GUIDELINE:This guideline will enhance care and improve health outcomes by encouraging: the use of appropriate tools to assist the diagnosis and determine the severity of MHCs; consideration of factors that can lead to the development of an MHC after a workplace injury; more comprehensive clinical assessments; the use of existing high quality guidelines to inform the clinical management of MHCs; consideration of a patient's capacity to work; appropriate communication with the workplace; and collaboration with other health professionals.

SUBMITTER: Mazza D

PROVIDER: S-EPMC6852433 | biostudies-literature | 2019 Jul

REPOSITORIES: biostudies-literature

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Diagnosing and managing work-related mental health conditions in general practice: new Australian clinical practice guidelines.

Mazza Danielle D Chakraborty Samantha P SP Brijnath Bianca B Nowak Heather H Howell Cate C Brott Trevor T Atchison Michelle M Gras David D Kenardy Justin J Buchanan Richard R Tawia Seyram S

The Medical journal of Australia 20190624 2

<h4>Introduction</h4>In Australia, mental health conditions (MHCs) arising from workplace factors are a leading cause of long term work incapacity and absenteeism. While most patients are treated in general practice, general practitioners report several challenges associated with diagnosing and managing workplace MHCs. This guideline, approved by the National Health and Medical Research Council and endorsed by the Royal Australian College of General Practitioners and the Australian College of Ru ...[more]

PMID: 31231820

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Project description:ObjectiveWhen providing care for patients with work-related mental health conditions (MHCs), the general practitioner's (GP) role includes clinical care, patient advocacy and assessment of a patient's ability to work. GPs can experience difficulty representing these competing roles. As clinical guidelines were being developed to assist GPs in providing this care, our aim was to identify the clinical challenges GPs experience when diagnosing and managing patients with work-related MHCs.DesignQualitative research.SettingThis study was conducted in general practice and workers' compensation settings across Australia.ParticipantsTwenty-five GPs, seven psychiatrists and nine compensation scheme workers. GPs were eligible to participate if they were actively treating (or treated within the previous three years) patient(s) who had submitted a workers' compensation claim for a MHC. Psychiatrists and compensation scheme workers were eligible to participate if they were active in these roles, as they are best placed to identify additional clinical challenges GPs themselves did not raise.MethodParticipants were invited by letter to participate in qualitative semi-structured telephone interviews. Prior to each interview, participants were asked to reflect on two case vignettes, each depicting a patient's illness trajectory over 12 months. Data were thematically analysed using inductive and deductive techniques and then categorised by stages of clinical reasoning.ResultsParticipants reported clinical challenges across four key areas: (1) Diagnosis (identifying appropriate diagnostic tools, determining the severity and work-relatedness of a MHC, and managing the implications of labelling the patient with MHC). (2) Management (determining optimal treatment, recommending work participation). (3) Referral (ambiguity of communication pathways within compensation schemes). (4) Procedure (difficulties navigating compensation systems).ConclusionWe found that GPs experienced clinical challenges at all stages of care for people with work-related MHCs. We were also able to identify systemic and procedural issues that influence a GP's ability to provide care for patients with work-related MHCs.

Project description:BackgroundAssessing the fidelity of intervention components enables researchers to make informed judgements about the influence of those components on the observed outcome. The 'Implementing work-related Mental health guidelines in general PRacticE' (IMPRovE) trial is a hybrid III trial aiming to increase adherence to the 'Clinical Guidelines for the diagnosis and management of work-related mental health conditions in general practice'. IMPRovE is a multifaceted intervention, with one of the central components being academic detailing (AD). This study describes the fidelity to the protocol for the AD component of the IMPRovE intervention.MethodAll AD sessions for the trial were audio-recorded and a sample of 22% were randomly selected for fidelity assessment. Fidelity was assessed using a tailored proforma based on the Modified Conceptual Framework for fidelity assessment, measuring duration, coverage, frequency and content. A descriptive analysis was used to quantify fidelity to the protocol and a content analysis was used to elucidate qualitative aspects of fidelity.ResultsA total of eight AD sessions were included in the fidelity assessment. The average fidelity score was 89.2%, ranging from 80 to 100% across the eight sessions. The sessions were on average 47 min long and addressed all of the ten chapters in the guideline. Of the guideline chapters, 9 were frequently discussed. The least frequently discussed chapter related to management of comorbid conditions. Most general practitioner (GP) participants used the AD sessions to discuss challenges with managing secondary mental conditions. In line with the protocol, opinion leaders who delivered the AD sessions largely offered evidence-based strategies aligning with the clinical guideline recommendations.Conclusions/implicationsThe IMPRovE AD intervention component was delivered to high fidelity. The sessions adhered to the intended duration, coverage, frequency, and content allowing participating GPs to comprehend the implementation of the guideline in their own practice. This study also demonstrates that the Modified Conceptual Fidelity Framework with a mixed methods approach can support the assessment of implementation fidelity of a behavioural intervention in general practice. The findings enhance the trustworthiness of reported outcomes from IMPRovE and show that assessing fidelity is amenable for AD and should be incorporated in other studies using AD.Trial registrationAustralian New Zealand Clinical Trials Registry ACTRN 12620001163998, November 2020.

Project description:BackgroundThe Clinical Guideline for the Diagnosis and Management of Work-related Mental Health Conditions in General Practice (the Guideline) was published in 2019. The objective of this trial is to implement the Guideline in general practice.Trial designImplementing work-related Mental health conditions in general PRacticE is a hybrid III, parallel cluster randomised controlled trial undertaken in Australia. Its primary aim is to assess the effectiveness of a complex intervention on the implementation of the Guideline in general practice. Secondary aims are to assess patient health and work outcomes, to evaluate the cost-effectiveness of the trial, and to develop a plan for sustainability.MethodsA total of 86 GP clusters will be randomly allocated either to the intervention arm, where they will receive a complex intervention comprising academic detailing, enrolment in a community of practice and resources, or to the control arm, where they will not receive the intervention. GP guideline concordance will be assessed at baseline and 9 months using virtual simulated patient scenarios. Patients who meet the eligibility criteria (>18years, employed, and receiving care from a participating GP for a suspected or confirmed work-related mental health condition) will be invited to complete surveys about their health and work participation and provide access to their health service use data. Data on health service use and work participation compensation claim data will be combined with measures of guideline concordance and patient outcomes to inform an economic evaluation. A realist evaluation will be conducted to inform the development of a plan for sustainability.ResultsWe anticipate that GPs who receive the intervention will have higher guideline concordance than GPs in the control group. We also anticipate that higher concordance will translate to better health and return-to-work outcomes for patients, as well as cost-savings to society.ConclusionsThe trial builds on a body of work defining the role of GPs in compensable injury, exploring their concerns, and developing evidence-based guidelines to address them. Implementation of these guidelines has the potential to deliver improvements in GP care, patient health, and return-to-work outcomes.Trial registrationACTRN12620001163998 , November 2020.

Project description:BACKGROUND:For pregnant women with a known cardiac condition or those who develop cardiac disease during pregnancy, there is an increased risk of complications during pregnancy, to both mother and foetus. To reduce this risk, best practice guidelines have been developed and available in South Australia for several years. Measuring clinical practice against the guideline recommendations verifies real-life practice and an essential part of any clinical practice quality improvement project by identifying gaps. This study is the first report on adherence to statewide perinatal guidelines for these women in South Australia. OBJECTIVES:To evaluate adherence to evidence-based clinical practice perinatal guidelinesTo identify predictors of adherence.Make comparisons across three practice settings examined. DESIGN:A retrospective cross-sectional observational design that analysed data from medical records. SETTING:Three SA Health public metropolitan, university-affiliated teaching hospitals with an obstetric service within a ten-year timeframe (2003-2013). PARTICIPANTS:271 admissions of women who were categorised as 'pre-existent' or 'newly acquired' cardiac condition during their pregnancy. OUTCOME MEASURES:Adherence to guidelines was measured using a purposefully designed scoring system across the three sites. The researcher chose a minimum acceptable score of 17 applicable to the 'newly acquired' group and 35 for the 'pre-existent' group. RESULTS:Overall adherence to the perinatal guidelines for the combined groups (n = 271) reported a mean score of 16.3, SD ± 6.7, with a median score of 17. Women in the 'newly acquired' group scored less compared to women in the 'pre-existent' group (Estimate -2.3, CI -3.9,-0.7). Variance in adherence was observed across the three hospitals (P value <0.0001). The most significant predictor of adherence to guidelines was pre-pregnancy cardiac consultation which increased the likelihood of preconception care by Odds ratio 18.5 (95%, CI 2, 168). Similarly, compliance with mental health screening was associated with improved adherence to antenatal assessments (OR: 11.3(95% CI 4.7, 27.3). CONCLUSION:There was overall suboptimal adherence to the statewide guidelines for women with cardiac conditions in pregnancy. The variance in the level of adherence across the three hospitals correlated with the exposure to higher acuity cases, and that appropriate up- referral to a higher acuity hospital was intrinsically linked to better adherence. Recommendations include preconception counselling, and to ensure that all health practitioners have the skills, sufficient training and time to complete a comprehensive initial antenatal assessment. TRIAL REGISTRATION:ACTRN12617000417381.

Project description:BackgroundMedicineInsight is a database containing de-identified electronic health records (EHRs) from over 700 Australian general practices. It is one of the largest and most widely used primary health care EHR databases in Australia. This study examined the validity of algorithms that use information from various fields in the MedicineInsight data to indicate whether patients have specific health conditions. This study examined the validity of MedicineInsight algorithms for five common chronic conditions: anxiety, asthma, depression, osteoporosis and type 2 diabetes.MethodsPatients' disease status according to MedicineInsight algorithms was benchmarked against the recording of diagnoses in the original EHRs. Fifty general practices contributing data to MedicineInsight met the eligibility criteria regarding patient load and location. Five were randomly selected and four agreed to participate. Within each practice, 250 patients aged ≥ 40 years were randomly selected from the MedicineInsight database. Trained staff reviewed the original EHR for as many of the selected patients as possible within the time available for data collection in each practice.ResultsA total of 475 patients were included in the analysis. All the evaluated MedicineInsight algorithms had excellent specificity, positive predictive value, and negative predictive value (above 0.9) when benchmarked against the recording of diagnoses in the original EHR. The asthma and osteoporosis algorithms also had excellent sensitivity, while the algorithms for anxiety, depression and type 2 diabetes yielded sensitivities of 0.85, 0.89 and 0.89 respectively.ConclusionsThe MedicineInsight algorithms for asthma and osteoporosis have excellent accuracy and the algorithms for anxiety, depression and type 2 diabetes have good accuracy. This study provides support for the use of these algorithms when using MedicineInsight data for primary health care quality improvement activities, research and health system policymaking and planning.

Project description:IntroductionIn Australia, general practitioners usually are the first point of contact for patients with non-urgent medical conditions. Appropriate and efficient utilisation of pathology tests by general practitioners forms a key part of diagnosis and monitoring. However overutilisationand underutilisation of pathology tests have been reported across several tests and conditions, despite evidence-based guidelines outlining best practice in pathology testing. There are a limited number of studies evaluating the impact of these guidelines on pathology testing in general practice. The aim of our quantitative observational study is to define how pathology tests are used in general practice and investigate how test ordering practices align with evidence-based pathology guidelines.Methods and analysisAccess to non-identifiable patient data will be obtained through electronic health records from general practices across three primary health networks in Victoria, Australia. Numbers and characteristics of patients, general practices, encounters, pathology tests and problems managed over time will be described. Overall rates of encounters and tests, alongside more detailed investigation between subcategories (encounter year, patient's age, gender, and location and general practice size), will also be undertaken. To evaluate how general practitioner test ordering coincides with evidence-based guidelines, five key candidate indicators will be investigated: full blood counts for patients on clozapine medication; international normalised ratio measurements for patients on warfarin medication; glycated haemoglobin testing for monitoring patients with diabetes; vitamin D testing; and thyroid function testing.Ethics and disseminationEthics clearance to collect data from general practice facilities has been obtained by the data provider from the RACGP National Research and Evaluation Ethics Committee (NREEC 17-008). Approval for the research group to use these data has been obtained from Macquarie University (5201700872). This study is funded by the Australian Government Department of Health Quality Use of Pathology Program (Agreement ID: 4-2QFVW4M). Findings will be reported to the Department of Health and disseminated in peer-reviewed academic journals and presentations (national and international conferences, industry forums).

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Diagnosing and managing work-related mental health conditions in general practice: new Australian clinical practice guidelines.

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Diagnosing and managing work-related mental health conditions in general practice: new Australian clinical practice guidelines.

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