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In response to the COVID-19 pandemic, we rapidly implemented a plasma coordination center, within two months, to support transfusion for two outpatient randomized controlled trials. The center design was based on an investigational drug services model and a Food and Drug Administration-compliant database to manage blood product inventory and trial safety.
Methods:
A core investigational team adapted a cloud-based platform to randomize patient assignments and track inventory distribution of control plasma and high-titer COVID-19 convalescent plasma of different blood groups from 29 donor collection centers directly to blood banks serving 26 transfusion sites.
Results:
We performed 1,351 transfusions in 16 months. The transparency of the digital inventory at each site was critical to facilitate qualification, randomization, and overnight shipments of blood group-compatible plasma for transfusions into trial participants. While inventory challenges were heightened with COVID-19 convalescent plasma, the cloud-based system, and the flexible approach of the plasma coordination center staff across the blood bank network enabled decentralized procurement and distribution of investigational products to maintain inventory thresholds and overcome local supply chain restraints at the sites.
Conclusion:
The rapid creation of a plasma coordination center for outpatient transfusions is infrequent in the academic setting. Distributing more than 3,100 plasma units to blood banks charged with managing investigational inventory across the U.S. in a decentralized manner posed operational and regulatory challenges while providing opportunities for the plasma coordination center to contribute to research of global importance. This program can serve as a template in subsequent public health emergencies.
Chronic pain patients often contend with insomnia symptoms, creating a reciprocal relationship that adds complexity to their condition. Evaluating interventions targeting insomnia in this population becomes paramount, given the intertwined nature of pain and sleep disturbances.
Objectives
This retrospective pretest design aimed to assess the efficacy of an Internet-delivered sound healing intervention in reducing insomnia severity and addressing sleep- and pain-related parameters among individuals with chronic pain.
Methods
Conducted as a community-based project, Tuning for Health provided support to individuals grappling with long-term illnesses. The intervention involved the virtual delivery of a specially crafted sound track using tuning forks over a 6-week period, supervised by an experienced therapist and administered weekly for an hour. Participants were instructed to play the track daily at a time convenient for them. A total of 68 participants (mean age 59.3 years) completed the intervention. Outcome measures, including the Insomnia Severity Index (ISI), a sleep diary, and assessments for anxiety, depression, and pain-related parameters, were collected at the end of the 6-week intervention and repeated after a 6-month follow-up. Negative effects were monitored and reported.
Results
Significant immediate interaction effects (time by treatment) were observed for the pain severity, ISI and various sleep parameters, such as sleep efficiency, sleep onset latency, early morning awakenings, and wake time after sleep onset. A time effect for anxiety and depression was noted at the 6-month follow-up. The group exhibited highly significant improvements in pain-related parameters. At the 6-month follow-up, sustained enhancements in sleep parameters and mental health were reported, with no reported side effects.
Conclusions
These unique results suggest the potential efficacy of sound healing in alleviating chronic pain and associated insomnia. Further research with a larger sample size is warranted to validate these findings. Combining sound healing with other treatments may offer enhanced outcomes for individuals dealing with both chronic pain and comorbid insomnia. This study lays the groundwork for future investigations into the promising intersection of sound healing, chronic pain management, and sleep improvement.
Background: Shared decision-making (SDM) is a dynamic, patient-engaged approach to collaborative medical care. Limited SDM tools exist in pregnancy. We aimed to examine the need and usability of a novel SDM tool for pharmaco-therapeutic treatment of neurological conditions in pregnancy. Methods: This is an exploratory mixed-methods study. Non-pregnant women of any age were recruited using convenience, purposive sampling from an academic neurology clinic in Toronto. Participants reported the user friendliness of the SDM by completing the systems usability (SUS) questionnaire and participated in a focus group to further elaborate on their experience. Results: Eleven participants completed the survey 45% each between age 31-40, and 51-60. Median time spent on the tool was 17.2 minutes, and median SUS score 70 (<68 being not usable). Thematic data analysis from 2 focus groups, identified technical and content improvements: use of inclusive language, simplified design, and importance of patient engagement in SDM. Conclusions: Based on our preliminary results, a SDM web-tool for medication-related concerns of pregnant patients with neurological conditions is needed and usable. With integration of patients’ lived experiences, this novel tool may serve as an anchor point for future work in this field.
Since the initial publication of A Compendium of Strategies to Prevent Healthcare-Associated Infections in Acute Care Hospitals in 2008, the prevention of healthcare-associated infections (HAIs) has continued to be a national priority. Progress in healthcare epidemiology, infection prevention, antimicrobial stewardship, and implementation science research has led to improvements in our understanding of effective strategies for HAI prevention. Despite these advances, HAIs continue to affect ∼1 of every 31 hospitalized patients,1 leading to substantial morbidity, mortality, and excess healthcare expenditures,1 and persistent gaps remain between what is recommended and what is practiced.
The widespread impact of the coronavirus disease 2019 (COVID-19) pandemic on HAI outcomes2 in acute-care hospitals has further highlighted the essential role of infection prevention programs and the critical importance of prioritizing efforts that can be sustained even in the face of resource requirements from COVID-19 and future infectious diseases crises.3
The Compendium: 2022 Updates document provides acute-care hospitals with up-to-date, practical expert guidance to assist in prioritizing and implementing HAI prevention efforts. It is the product of a highly collaborative effort led by the Society for Healthcare Epidemiology of America (SHEA), the Infectious Disease Society of America (IDSA), the Association for Professionals in Infection Control and Epidemiology (APIC), the American Hospital Association (AHA), and The Joint Commission, with major contributions from representatives of organizations and societies with content expertise, including the Centers for Disease Control and Prevention (CDC), the Pediatric Infectious Disease Society (PIDS), the Society for Critical Care Medicine (SCCM), the Society for Hospital Medicine (SHM), the Surgical Infection Society (SIS), and others.
Preventing psychiatric admissions holds benefits for patients as well as healthcare systems. The Clinical Global Impression-Severity (CGI-S) scale is a 7-point measurement of symptom severity, independent of diagnosis, which has shown capability of predicting risk of hospitalisation in schizophrenia. Due to its routine use in clinical practice and ease of administration, it may have potential as a transdiagnostic predictor of hospitalisation.
Objectives
To investigate whether early trajectories of CGI-S scores predict risk of hospitalisation over a 6 month-follow-up period.
Methods
A retrospective cohort study was conducted, analysing Electronic Health Record (EHR) data from the NeuroBlu Database (Patel et al. BMJ Open 2022;12:e057227). Patients were included if they had a psychiatric diagnosis and at least 5 recorded CGI-S scores within a 2-month period, defined as the ‘index’ period. The relationship between early CGI-S trajectories and risk of hospitalisation was investigated using Cox regression. The analysis was adjusted for age, gender, race, number of years in education, and psychiatric diagnosis. Early CGI-S trajectories were estimated as clinical severity (defined as the mean CGI-S score during the index period) and clinical instability (defined as a generalised Root Mean Squared Subsequent Differences of all CGI-S scores recorded during the index period). The primary outcome was time to psychiatric hospitalisation up to 6 months following the index period. Patients who had been hospitalised before or within the index period were excluded.
Results
A total of 36,914 patients were included (mean [SD] age: 29.7 [17.5] years; 57.3% female). Clinical instability (hazard ratio: 1.09, 95% CI 1.07-1.10, p<0.001) and severity (hazard ratio: 1.11, 95% CI 1.09-1.12, p<0.001) independently predicted risk of hospitalisation. These associations were consistent across all psychiatric diagnoses. Patients in the top 50% of severity and/or instability were at a 45% increased risk of hospitalisation compared to those in the bottom 50% (Figure 1).
Image:
Conclusions
Early CGI-S trajectories reflecting clinical severity and instability independently predict risk of hospitalisation across diagnoses. This risk was compounded when instability and severity were present together. These results have translation potential in predicting individuals who are at high risk of hospitalisation and could benefit from preventative strategies to mitigate this risk.
Disclosure of Interest
E. Palmer Employee of: Holmusk, M. Taquet Consultant of: Holmusk, K. Griffiths Employee of: Holmusk, S. Ker Employee of: Holmusk, C. Liman Employee of: Holmusk, S. N. Wee Employee of: Holmusk, S. Kollins Employee of: Holmusk, R. Patel Grant / Research support from: National Institute of Health Research (NIHR301690); Medical Research Council (MR/S003118/1); Academy of Medical Sciences (SGL015/1020); Janssen, Employee of: Holmusk
EHRs contain a rich source of real-world data that can support evidence generation to better understand mental disorders and improve treatment outcomes. However, EHR datasets are complex and include unstructured free text data that are time consuming to manually review and analyse. We present NeuroBlu, a secure, cloud-based analytic tool that includes bespoke NLP software to enable users to analyse large volumes of EHR data to generate real-world evidence in mental healthcare.
Objectives
(i) To assemble a large mental health EHR dataset in a secure, cloud-based environment.
(ii) To apply NLP software to extract data on clinical features as part of the Mental State Examination (MSE).
(iii) To analyse the distribution of NLP-derived MSE features by psychiatric diagnosis.
Methods
EHR data from 25 U.S. mental healthcare providers were de-identified and transformed into a common data model. NLP models were developed to extract 241 MSE features using a deep learning, long short-term memory (LSTM) approach. The NeuroBlu tool (https://www.neuroblu.ai/) was used to analyse the associations of MSE features in 543,849 patients.
Results
The figure below illustrates the percentage of patients in each diagnostic category with at least one recorded MSE feature.
Conclusions
Delusions and hallucinations were more likely to be recorded in people with schizophrenia and schizoaffective disorder, and cognitive features were more likely to be recorded in people with dementia. However, mood symptoms were frequently recorded across all diagnoses illustrating their importance as a transdiagnostic clinical feature. NLP-derived clinical information could enhance the potential of EHR data to generate real-world evidence in mental healthcare.
Anticholinergic medications block cholinergic transmission. The central effects of anticholinergic drugs can be particularly marked in patients with dementia. Furthermore, anticholinergics antagonise the effects of cholinesterase inhibitors, the main dementia treatment.
Objectives
This study aimed to assess anticholinergic drug prescribing among dementia patients before and after admission to UK acute hospitals.
Methods
352 patients with dementia were included from 17 hospitals in the UK. All were admitted to surgical, medical or Care of the Elderly wards in 2019. Information about patients’ prescriptions were recorded on a standardised form. An evidence-based online calculator was used to calculate the anticholinergic drug burden of each patient. The correlation between two subgroups upon admission and discharge was tested with Spearman’s Rank Correlation.
Results
Table 1 shows patient demographics. On admission, 37.8% of patients had an anticholinergic burden score ≥1 and 5.68% ≥3. At discharge, 43.2% of patients had an anticholinergic burden score ≥1 and 9.1% ≥3. The increase was statistically significant (rho 0.688; p=2.2x10-16). The most common group of anticholinergic medications prescribed at discharge were psychotropics (see Figure 1). Among patients prescribed cholinesterase inhibitors, 44.9% were also taking anticholinergic medications.
Conclusions
This multicentre cross-sectional study found that people with dementia are frequently prescribed anticholinergic drugs, even if also taking cholinesterase inhibitors, and are significantly more likely to be discharged with a higher anticholinergic drug burden than on admission to hospital.
Conflict of interest
This project was planned and executed by the authors on behalf of SPARC (Student Psychiatry Audit and Research Collaborative). We thank the National Student Association of Medical Research for allowing us use of the Enketo platform. Judith Harrison was su
Investigate an outbreak of coronavirus disease 2019 (COVID-19) among operating room staff utilizing contact tracing, mass testing for severe acute respiratory coronavirus virus 2 (SARS-CoV-2), and environmental sampling.
Operating room staff with positive SARS-CoV-2 molecular testing.
Methods:
Epidemiologic and environmental investigations were conducted including contact tracing, environmental surveys, and sampling and review of the operating room schedule for staff-to-staff, staff-to-patient, and patient-to-staff SARS-CoV-2 transmission.
Results:
In total, 24 healthcare personnel (HCP) tested positive for SARS-CoV-2, including nurses (29%), surgical technologists (25%), and surgical residents (16%). Moreover, 19 HCP (79%) reported having used a communal area, most commonly break rooms (75%). Overall, 20 HCP (83%) reported symptomatic disease. In total, 72 environmental samples were collected from communal areas for SARS-CoV-2 genomic testing; none was positive. Furthermore, 236 surgical cases were reviewed for transmission: 213 (90%) had negative preoperative SARS-CoV-2 testing, 21 (9%) had a positive test on or before the date of surgery, and 2 (<1%) did not have a preoperative test performed. In addition, 40 patients underwent postoperative testing (mean, 13 days to postoperative testing), and 2 returned positive results. Neither of these 2 cases was linked to our outbreak.
Conclusions:
Complacency in infection control practices among staff during peak community transmission of SARS-CoV-2 is believed to have driven staff-to-staff transmission. Prompt identification of the outbreak led to rapid interventions, ultimately allowing for uninterrupted surgical service.
There is a high rate of psychiatric comorbidity in patients with epilepsy. However, the impact of surgical treatment of refractory epilepsy on psychopathology remains under investigation. We aimed to examine the impact of epilepsy surgery on psychopathology and quality of life at 1-year post-surgery in a population of patients with epilepsy refractory to medication.
Methods:
This study initially assessed 48 patients with refractory epilepsy using the Structured Clinical Interview for DSM-IV Axis I Disorders (SCID-I), the Hospital Anxiety and Depression Scale (HADS) and the Quality of Life in Epilepsy Inventory 89 (QOLIE-89) on admission to an Epilepsy Monitoring Unit (EMU) as part of their pre-surgical assessment. These patients were again assessed using the SCID-I, QOLIE-89 and HADS at 1-year follow-up post-surgery.
Results:
There was a significant reduction in psychopathology, particularly psychosis, following surgery at 1-year follow-up (p < 0.021). There were no new cases of de novo psychosis and surgery was also associated with a significant improvement in the quality of life scores (p < 0.001).
Conclusions:
This study demonstrates the impact of epilepsy surgery on psychopathology and quality of life in a patient population with refractory surgery. The presence of a psychiatric illness should not be a barrier to access surgical treatment.
The detrimental systemic effects of cigarette smoking are well established. Though less pronounced in the field of otology, they are proposed to contribute to the global burden of unaddressed hearing loss. Recently, in efforts to stop smoking, individuals have used electronic cigarettes of which the long-term safety data are largely unknown. This study aimed to conduct a systematic review of cigarette smoking and electronic cigarette effects in the field of otology.
Method
Relevant articles were identified by a National Institute for Health and Care Excellence healthcare database literature search and by scanning the references of relevant articles and reviews.
Results
A total of 473 articles were identified, with 43 articles included in the review after trials were excluded.
Conclusion
Cigarette smoking is associated with recurrent otitis media, otitis media with effusion and sensorineural hearing loss in children exposed to second-hand smoke. In adults, it is associated with active and aggressive chronic suppurative otitis media, worse tympanoplasty success rates, increased post-operative complications and sensorineural hearing loss that is more pronounced in the long term and at high frequencies. The effects of e-cigarettes in otology are largely unknown.
The coronavirus disease 2019 (COVID-19) pandemic has led to significant strain on front-line healthcare workers.
Aims
In this multicentre study, we compared the psychological outcomes during the COVID-19 pandemic in various countries in the Asia-Pacific region and identified factors associated with adverse psychological outcomes.
Method
From 29 April to 4 June 2020, the study recruited healthcare workers from major healthcare institutions in five countries in the Asia-Pacific region. A self-administrated survey that collected information on prior medical conditions, presence of symptoms, and scores on the Depression Anxiety Stress Scales and the Impact of Events Scale-Revised were used. The prevalence of depression, anxiety, stress and post-traumatic stress disorder (PTSD) relating to COVID-19 was compared, and multivariable logistic regression identified independent factors associated with adverse psychological outcomes within each country.
Results
A total of 1146 participants from India, Indonesia, Singapore, Malaysia and Vietnam were studied. Despite having the lowest volume of cases, Vietnam displayed the highest prevalence of PTSD. In contrast, Singapore reported the highest case volume, but had a lower prevalence of depression and anxiety. In the multivariable analysis, we found that non-medically trained personnel, the presence of physical symptoms and presence of prior medical conditions were independent predictors across the participating countries.
Conclusions
This study highlights that the varied prevalence of psychological adversity among healthcare workers is independent of the burden of COVID-19 cases within each country. Early psychological interventions may be beneficial for the vulnerable groups of healthcare workers with presence of physical symptoms, prior medical conditions and those who are not medically trained.
The Coronavirus Disease 2019 (COVID-19) has accounted for more than 25 000 cases in Ireland with approximately 28% of the clusters in nursing homes as of June 2020. The older population is the most vulnerable to serious complications from this illness and over 90% of deaths due to COVID-19 to date have been in patients over the age of 65. Continuing to provide routine care within nursing homes in these challenging times is an essential part of ensuring that presentations to hospitals for non-essential reasons are minimized. In this article, we describe a project being undertaken by a rural Psychiatry of Old Age Service in the northwest of Ireland. We aim to provide ordinary care in extraordinary times by using mobile tablets within the nursing homes and long-stay facilities in our region for remote video consultations during the COVID-19 crisis.
OBJECTIVES/GOALS: We sought to examine: 1) variability in center acceptance patterns for heart allografts offered to the highest-priority candidates, 2) impact of this acceptance behavior on candidate survival, and 3) post-transplantation outcomes in candidates who accepted first rank offer vs. previously declined offer. METHODS/STUDY POPULATION: In this retrospective cohort study, the US national transplant registry was queried for all match runs of adult candidates listed for isolated heart transplantation between 2007-2017. We examined center acceptance rates for heart allografts offered to the highest-priority candidates and accounted for covariates in multivariable logistic regression. Competing risks analysis was performed to assess the relationship between center acceptance rate and waitlist mortality. Post-transplantation outcomes (patient survival and graft failure) between candidates who accepted their first-rank offers vs those who accepted previously declined offers were compared using Fine-Gray subdistribution hazards model. RESULTS/ANTICIPATED RESULTS: Among 19,703 unique organ offers, 6,302 (32%) were accepted for first-ranked candidates. After adjustment for donor, recipient, and geographic covariates, transplant centers varied markedly in acceptance rates (12%-62%) of offers made to first-ranked candidates. Lowest acceptance rate centers (<25%) associated with highest cumulative incidence of waitlist mortality. For every 10% increase in adjusted center acceptance rate, waitlist mortality risk decreased by 27% (SHR 0.73, 95% CI 0.67-0.80). No significant difference was observed in 5-year adjusted post-Tx survival and graft failure between hearts accepted at the first-rank vs lower-rank positions. DISCUSSION/SIGNIFICANCE OF IMPACT: Wide variability in heart acceptance rates exists among centers, with candidates listed at low acceptance rate centers more likely to die waiting. Similar post-Tx survival suggests previously declined allografts function as well as those accepted at first offer. Center-level decision is a modifiable behavior associated with waitlist mortality.
Patients with bipolar disorder experience a wide range of depressive and manic symptoms. Only 2 drugs are FDA-approved to treat episodes of both mania and depression in patients with bipolar disorder, highlighting the need for treatments with proven efficacy at opposite poles of the bipolar spectrum. Cariprazine, a dopamine D3-preferring D3/D2 receptor partial agonist and serotonin 5-HT1A receptor partial agonist, is approved in the US for the treatment of both bipolar depression and manic and mixed episodes associated with bipolar I disorder. Cariprazine has previously demonstrated broad efficacy in patients with bipolar mania, with significantly greater improvement in favor of cariprazine vs placebo (PBO) across all individual symptom domains (P<.001) measured by the Young Mania Rating Scale (YMRS). Additionally, cariprazine has demonstrated efficacy vs PBO in 3 phase II/III clinical studies in patients with depressive episodes associated with bipolar I disorder (NCT01396447, NCT02670538, NCT02670551). To further assess the broad efficacy of cariprazine in patients with bipolar I disorder, we performed post hoc analyses to evaluate the range of depressive symptoms comprising the individual items of the Montgomery-Åsberg Depression Rating Scale (MADRS) in patients from the bipolar depression studies.
Methods:
Data from the 3 randomized, double-blind, PBO-controlled trials in patients with bipolar depression were pooled. Least squares (LS) mean change from baseline to week 6 in MADRS individual items was assessed in the pooled cariprazine 1.5 and 3 mg/d groups vs PBO using a mixed-effects model for repeated measures in the intent-to-treat (ITT) population.
Results:
There were 1383 patients in the ITT population (placebo=460; cariprazine 1.5-3 mg/d=923). At week 6, LS mean change from baseline was significantly greater for cariprazine 1.5-3 mg/d vs PBO on 9 of 10 individual MADRS items: Apparent Sadness (-2.0 vs -1.6, P<.0001); Reported Sadness (-2.0 vs -1.6, P<.0001); Reduced Sleep (-1.6 vs -1.4, P=.0357); Reduced Appetite (-1.2 vs -1.0, P=.0001); Concentration Difficulties (-1.5 vs -1.2, P=.0002); Lassitude (-1.7 vs -1.4, P=.0003); Inability To Feel (-1.7 vs -1.5, P=.0009); Pessimistic Thoughts (-1.4 vs -1.2, P=.0054) and Suicidal Thoughts (-0.3 vs -0.2, P=.0383); differences between cariprazine and PBO on the Inner Tension item were not significant.
Conclusions:
Significant improvement in most MADRS single items suggests broad efficacy in depressive symptoms for cariprazine 1.5-3 mg/d vs PBO in patients with bipolar depression. Coupled with broad efficacy in manic symptoms as demonstrated by significant improvement in all YMRS individual items in patients with bipolar mania or mixed episodes, cariprazine appears be effective across the range of symptoms that affect patients with bipolar disorder.
Antipsychotic depot injections can improve adherence compared to tablets. However, depot prescribing practices differ amongst psychiatrists. Previously, some clinicians perceived an “image” problem for typical antipsychotic depots. This study investigated psychiatrists’ attitudes and knowledge concerning antipsychotic depots (typical and atypical) in an era when patient choice is a pertinent issue.
Method:
Cross-sectional postal survey of consultant psychiatrists working in NorthWest England. A pre-existing questionnaire on clinicians’ attitudes and knowledge regarding depots was updated.
Results:
The sample comprised 102 consultant psychiatrists (response rate 102/143, 71%). Their use of depots over the past 5 years had: decreased (50%), not changed (27%), increased (23%). In a forced-choice selection of factors that would persuade them to use depots more, the factor cited as most important was ‘having more atypicals available in long-acting depot form’ (43%). Most regarded depots as being associated with better compliance (89%) and reduced relapse rates (98%) compared to oral medication but only 62% agreed that depots can be used for those with first episode psychosis. A significant minority (33%) believed patients always prefer to have oral medication instead of a depot. 68% believed that patients taking medication of their own free choice is more likely for oral than depot.
Conclusions:
During the last 5 years, overall depot prescribing rates have reduced. Most regarded depots as offering better adherence and reduced relapse rates but some remain concerned about the acceptability of depots to patients. These clinician concerns are important but, if extreme, could compromise medication choices offered to patients.
Previously, when only typical antipsychotic depot injections were available, some clinicians perceived depots as having an “image” problem despite them being associated with reduced rates of rehospitalisation when compared to tablets. This study investigated psychiatrists’ attitudes and knowledge concerning depots (typical and atypical) and whether they had changed over time.
Method:
Cross-sectional postal survey of consultant psychiatrists working in NorthWest England. A pre-existing questionnaire on clinicians’ attitudes and knowledge regarding depots was updated. Results were compared with a former sample (SouthEast England, 2001: N=143).
Results:
The sample comprised 102 consultant psychiatrists (response rate 71%). Depot use over the past 5 years had: decreased (50%), not changed (27%), increased (23%). Psychiatrists with decreased depot use had significantly lower scores for the side effects knowledge subscale than those who had unchanged or increased rates of depot use (mean 51.5% vs 54.8%, p=0.029). When compared to psychiatrists sampled five years previously, our current participants had more favourable patient-focussed attitudes (63.5% vs 60.4%, p=0.034); other subscales did not differ. Item-by-item analysis revealed specific changes over time including significantly less respondents regarding depots as: (i) compromising patient autonomy (mean 0.99 vs 1.28, p=0.036); being stigmatising (1.88 vs 2.42, p=0.002); being old fashioned (1.49 vs 2.04, p=0.002).
Conclusions:
During the period that an atypical antipsychotic depot has been available, and depot prescribing rates have reduced, some attitudes have changed. These mainly encompass aspects regarding the patient rather than the depot injection and include reducing concerns about stigma and autonomy although concerns about patient acceptance continue.
Depression is an alarming burden in India causing substantial disability and cost to society. Recognizing depression is difficult because patients present predominantly with somatic symptoms or because attention is primarily focused on the co-morbid physical disorder. The cases of depression presenting in primary-care settings are either not identified or treated with inappropriate drugs or inadequate doses of anti-depressants.
Objective
To analyze current level of intervention done by non-psychiatrists to detect and manage depression in patients with chronic medical illnesses.
Methods
A panel of nine specialists (Cardiologists, Neurologists, Endocrinologists and Psychiatrists) discussed current Indian scenario of management of co-morbid depression by non-psychiatrists.
Results
The panel agreed that
• Prevalence of co-morbid depression in India is not well-documented except for few regional studies.
• It is frequently witnessed but is hardly recognized or managed as a concurrent disease.
• There is a need to differentiate between depressive 'feeling” and 'disease”.
• The clinicians should increase duration of history-taking to include questions like, 'Do you feel sad/low? Are you disinterested?” in suspected cases.
• There is a need for developing Indian consensus to identify co-morbid depression, to decide when to start an antidepressant drug, in what dosage and duration with special focus on the when to refer to a psychiatrist.
Conclusion
Concrete steps are required towards large-scale data generation and development of Indian consensus on the management of co-morbid depression in patients with chronic medical illnesses for the non-psychiatrists to improvise patient health outcome.
Involuntary hospitalization in those presumed to be mentally ill has been a common practice. Although some patients are hospitalized for aggression, two-thirds of the patients are hospitalized because of the threat they pose to themselves. Although these patients require risk assessment and evaluation for possible presence of mental illness, the question is how much these patients will benefit from involuntary admission and what the long-term outcome would be.
Method
All patients admitted involuntary to the psychiatric ward in Kingston, Canada, and psychiatrists involved in their care were interviewed to see whether they think the involuntary admission was helpful. All patients were asked to fill-out MacArthur AES to assess their satisfaction with hospitalization.
Results
Although psychiatrists frequently reported that the admission was justified, only 29 out of 81 patients reported being explained to why they had been admitted involuntarily. Also, there was a significant difference in AES scores between those who were and were not given an explanation for admission. In addition, psychiatrists more often reported that the involuntary admission worsened the therapeutic relationship which was significantly associated with involuntary admission that was not explained to patients.
Discussion
The results of our study shows that patients admitted involuntarily often feel disappointed with staff and mental health system. It could lead to feeling of hopelessness, frustration and low self-esteem. If explained, some patients who present with risk to self might accept voluntary admissions, that will improve therapeutic alliance with psychiatrists and increase satisfaction from hospitalization. Result of this study could improve the decision making process for involuntary admissions.
Disclosure of interest
The authors have not supplied their declaration of competing interest.