Physical health assessment and cardiometabolic monitoring practices across three adult mental health inpatient units – a retrospective cohort study

2020 ◽  
Vol 29 (6) ◽  
pp. 1144-1156
Author(s):  
Rebekah Howard ◽  
Lisa Kuhn ◽  
Freyja Millar ◽  
Maryann Street
Keyword(s):  
Mental Health ◽  
Cohort Study ◽  
Physical Health ◽  
Retrospective Cohort Study ◽  
Retrospective Cohort ◽  
Health Assessment ◽  
Adult Mental Health ◽  
Inpatient Units

scholarly journals Complaint risk among mental health practitioners compared with physical health practitioners: a retrospective cohort study of complaints to health regulators in Australia

BMJ Open ◽  
2019 ◽  
Vol 9 (12) ◽  
pp. e030525 ◽  
Author(s):  
Benjamin G Veness ◽  
Holly Tibble ◽  
Brin FS Grenyer ◽  
Jennifer M Morris ◽  
Matthew J Spittal ◽  
...  
Keyword(s):  
Mental Health ◽  
Cohort Study ◽  
Physical Health ◽  
Retrospective Cohort Study ◽  
Retrospective Cohort ◽  
Incidence Rates ◽  
Mental Health Practitioners ◽  
National Study ◽  
Increased Risk ◽  
Health Practitioners

ObjectivesTo understand complaint risk among mental health practitioners compared with physical health practitioners.DesignRetrospective cohort study, using incidence rate ratios (IRRs) to analyse complaint risk and a multivariate regression model to identify predictors of complaints.SettingNational study using complaints data from health regulators in Australia.ParticipantsAll psychiatrists and psychologists (‘mental health practitioners’) and all physicians, optometrists, physiotherapists, osteopaths and chiropractors (‘physical health practitioners’) registered to practice in Australia between 2011 and 2016.Outcome measuresIncidence rates, source and nature of complaints to regulators.ResultsIn total, 7903 complaints were lodged with regulators over the 6-year period. Most complaints were lodged by patients and their families. Mental health practitioners had a complaint rate that was more than twice that of physical health practitioners (complaints per 1000 practice years: psychiatrists 119.1 vs physicians 48.0, p<0.001; psychologists 21.9 vs other allied health 7.5, p<0.001). Their risk of complaints was especially high in relation to reports, records, confidentiality, interpersonal behaviour, sexual boundary breaches and the mental health of the practitioner. Among mental health practitioners, male practitioners (psychiatrists IRR: 1.61, 95% CI 1.39 to 1.85; psychologists IRR: 1.85, 95% CI 1.65 to 2.07) and older practitioners (≥65 years compared with 36–45 years: psychiatrists IRR 2.37, 95% CI 1.95 to 2.89; psychologists IRR 1.78, 95% CI 1.47 to 2.14) were at increased risk of complaints.ConclusionsMental health practitioners were more likely to be the subject of complaints than physical health practitioners. Areas of increased risk are related to professional ethics, communication skills and the health of mental health practitioners themselves. Further research could usefully explore whether addressing these risk factors through training, professional development and practitioner health initiatives may reduce the risk of complaints about mental health practitioners.

Association between acute psychiatric bed availability in the Veterans Health Administration and veteran suicide risk: a retrospective cohort study

2021 ◽  
pp. bmjqs-2020-012975
Author(s):  
Peter J Kaboli ◽  
Matthew R Augustine ◽  
Bjarni Haraldsson ◽  
Nicholas M Mohr ◽  
M Bryant Howren ◽  
...  
Keyword(s):  
Mental Health ◽  
Cohort Study ◽  
Retrospective Cohort Study ◽  
Retrospective Cohort ◽  
Suicide Risk ◽  
Veterans Health Administration ◽  
Veterans Health ◽  
Health Administration ◽  
Bed Occupancy ◽  
Increased Risk

BackgroundVeteran suicides have increased despite mental health investments by the Veterans Health Administration (VHA).ObjectiveTo examine relationships between suicide and acute inpatient psychiatric bed occupancy and other community, hospital and patient factors.MethodsRetrospective cohort study using administrative and publicly available data for contextual community factors. The study sample included all veterans enrolled in VHA primary care in 2011–2016 associated with 111 VHA hospitals with acute inpatient psychiatric units. Acute psychiatric bed occupancy, as a measure of access to care, was the main exposure of interest and was categorised by quarter as per cent occupied using thresholds of ≤85%, 85.1%–90%, 90.1%–95% and >95%. Hospital-level analyses were conducted using generalised linear mixed models with random intercepts for hospital, modelling number of suicides by quarter with a negative binomial distribution.ResultsFrom 2011 to 2016, the national incidence of suicide among enrolled veterans increased from 39.7 to 41.6 per 100 000 person-years. VHA psychiatric bed occupancy decreased from a mean of 68.2% (IQR 56.5%–82.2%) to 65.4% (IQR 53.9%–79.9%). VHA hospitals with the highest occupancy (>95%) in a quarter compared with ≤85% had an adjusted incident rate ratio (IRR) for suicide of 1.10 (95% CI 1.01 to 1.19); no increased risk was observed for 85.1%–90% (IRR 0.96; 95% CI 0.89 to 1.03) or 90.1%–95% (IRR 0.96; 95% CI 0.89 to 1.04) compared with ≤85% occupancy. Of hospital and community variables, suicide risk was not associated with number of VHA or non-VHA psychiatric beds or amount spent on community mental health. Suicide risk increased by age categories, seasons, geographic regions and over time.ConclusionsHigh VHA hospital occupancy (>95%) was associated with a 10% increased suicide risk for veterans whereas absolute number of beds was not, suggesting occupancy is an important access measure. Future work should clarify optimal bed occupancy to meet acute psychiatric needs and ensure adequate bed distribution.

scholarly journals Does screening shorten delays to care for post-deployment mental disorders in military personnel? A longitudinal retrospective cohort study

BMJ Open ◽  
2020 ◽  
Vol 10 (8) ◽  
pp. e037853
Author(s):  
David Boulos ◽  
Bryan Garber
Keyword(s):  
Mental Health ◽  
Cohort Study ◽  
Mental Disorders ◽  
Mental Disorder ◽  
Retrospective Cohort Study ◽  
Retrospective Cohort ◽  
Cox Regression ◽  
Cox Proportional Hazards ◽  
Health Concern ◽  
Military Population

ObjectiveTo determine whether post-deployment screening is associated with a shorter delay to diagnosis and care among individuals identified with a deployment-related mental disorder.DesignRetrospective cohort study.SettingCanadian military population.ParticipantsThe cohort consisted of personnel (n=28 460) with a deployment within the 2009 to 2014 time frame. A stratified random sample (n=3004) was selected for medical chart review. We restricted our analysis to individuals who had an opportunity to undergo screening and were subsequently diagnosed with a mental disorder that a clinician indicated was deployment-related (n=1157).InterventionsPost-deployment health screening.Main outcome measureThe outcome was delay to diagnosis and care, the latency from individuals’ deployment return to their mental disorder diagnosis date. Cox proportional hazards regression assessed screening’s influence on this outcome.Results74.4% of the study population had screened. Overall, the median delay to care was 766 days, 578 days among screeners and 928 days among non-screeners—a 350-day difference. Cox regression indicated that screeners had a significantly shorter delay to care (adjusted HR (aHR), 1.43 (95% CI, 1.11 to 1.86)). Screening findings had a substantial influence on delay to care. Identification of a mental health concern, whether a ‘major’ concern (aHR, 3.36 (95% CI, 2.38 to 4.73)) or a ‘minor’ concern (aHR, 1.46 (95% CI, 1.08 to 1.99)), and a recommendation for mental health services follow-up (aHR, 2.35 (95% CI, 1.73 to 3.21)) were strongly associated with shorter delays to care relative to non-screeners.ConclusionsReduced delays to care are anticipated to lead to beneficial outcomes for both the individual and military organisation. We found that screening was associated with a shortened delay to care for mental disorders that were deployment-related. Future work will further explore this screening’s components and optimisation strategies.

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