Suchergebnisse

This study examines the impact of length of detention and location of detention on psychological distress amongst Australian immigration detainees. This study employs a repeated measures cross-sectional study, utilising Australian government data from 2014 to 2018 that relied on the Kessler-10 (K10) to measure psychological distress. There were 21,703 assessments conducted which included 15,264 assessment onshore over a 5 year period and 6439 assessments offshore over a 3 year period. The mean overall K10 score onshore was 18.85, while offshore it was 24.37. K10 scores increased with length of time detained both onshore and offshore, with K10 scores offshore generally higher at each time point. The results of this study add to a growing body of evidence that suggests that length of time detained and particularly offshore detention has a substantial impact on mental health.

This study examines the impact of length of detention and location of detention on psychological distress amongst Australian immigration detainees. This study employs a repeated measures cross-sectional study, utilising Australian government data from 2014 to 2018 that relied on the Kessler-10 (K10) to measure psychological distress. There were 21,703 assessments conducted which included 15,264 assessment onshore over a 5 year period and 6439 assessments offshore over a 3 year period. The mean overall K10 score onshore was 18.85, while offshore it was 24.37. K10 scores increased with length of time detained both onshore and offshore, with K10 scores offshore generally higher at each time point. The results of this study add to a growing body of evidence that suggests that length of time detained and particularly offshore detention has a substantial impact on mental health.

Social networks have been shown to be smaller in individuals with severe mental illness than in the general population. Patients' social networks and social support may impact on their utilisation of psychiatric services. This literature review focuses on social networks, social support and mental health service use in patients with mental illness. Most studies suggest that smaller social networks or less social support are associated with more frequent hospitalisation. Qualitative aspects of the social network are also related to the risk of hospitalisation. The relationship between social networks and other types of service use is not established.

Introduction: A strike is a collective, temporary and calculated action, which involves a temporary stoppage of work. For healthcare professionals strike action poses a unique dilemma. Perhaps most fundamentally, as strike action is designed to be disruptive it has the potential to impact the delivery of care and place patient well-being in jeopardy. The objective of this study is therefore to evaluate the impact of healthcare strike action on patient mortality outcomes globally using meta-analysis in order to provide a comprehensive evidence base that can advise healthcare professionals, governments and regulatory bodies on the impact that strike action has on patients. Methods and analysis: A comprehensive literature search of major electronic databases (EMBASE, MEDLINE, CINAHL, BIOETHICSLINE, EconLit, WEB OF SCIENCE, OPEN GREY and SIGMA REPOSITORY) will be undertaken to identify observational studies of strike action among healthcare professionals where in-hospital/clinic and population/ community mortality is examined, prestrike, during and poststrike. Meta-analysis will be performed to estimate in-hospital/clinic and population/community mortality during periods of strike action. The quality of evidence will be assessed using the National Institute of Health quality assessment tool for observational cohort and crosssectional studies. Risk of bias will be assessed using the Cochrane Risk Of Bias In Non-Randomized Studies - of Interventions tool. Ethics and dissemination: This study does not require ethical approval. Findings will be submitted to an appropriate peer-reviewed journal. Trial registration number: CRD42021238879.

INTRODUCTION: A strike is a collective, temporary and calculated action, which involves a temporary stoppage of work. For healthcare professionals strike action poses a unique dilemma. Perhaps most fundamentally, as strike action is designed to be disruptive it has the potential to impact the delivery of care and place patient well-being in jeopardy. The objective of this study is therefore to evaluate the impact of healthcare strike action on patient mortality outcomes globally using meta-analysis in order to provide a comprehensive evidence base that can advise healthcare professionals, governments and regulatory bodies on the impact that strike action has on patients. METHODS AND ANALYSIS: A comprehensive literature search of major electronic databases (EMBASE, MEDLINE, CINAHL, BIOETHICSLINE, EconLit, WEB OF SCIENCE, OPEN GREY and SIGMA REPOSITORY) will be undertaken to identify observational studies of strike action among healthcare professionals where in-hospital/clinic and population/community mortality is examined, prestrike, during and poststrike. Meta-analysis will be performed to estimate in-hospital/clinic and population/community mortality during periods of strike action. The quality of evidence will be assessed using the National Institute of Health quality assessment tool for observational cohort and cross-sectional studies. Risk of bias will be assessed using the Cochrane Risk Of Bias In Non-Randomized Studies - of Interventions tool. ETHICS AND DISSEMINATION: This study does not require ethical approval. Findings will be submitted to an appropriate peer-reviewed journal. TRIAL REGISTRATION NUMBER: CRD42021238879.

Objective: This pilot study evaluated the effect of the Connecting People Intervention (CPI) on access to social capital, social inclusion, and mental well-being. Method: A prospective one-group pretest –posttest preexperimental study of 155 people with a mental health problem or a learning disability receiving care and support from health and social care practitioners trained in the CPI was used. Results: Participants exposed to practice with high fidelity to the CPI model had significantly higher access to social capital ( p = .03, partial η2 = .05) and perceived social inclusion ( p = .01, partial η2 = .07), and lower service costs (−£1,331, 95% confidence interval = [−£69, −£2593]), posttest than those exposed to low fidelity to the model. All participants had significantly higher mental well-being posttest ( p < .001). Conclusions: These preliminary results suggest that when fully implemented, the CPI can improve social outcomes for people with a mental health problem or learning disability.

INTRODUCTION: The Independent Review of the Mental Health Act (MHA) in England and Wales confirmed increasing levels of compulsory detentions, especially for racialised communities. This research aims to: (a) understand the causes of and propose preventive opportunities to reduce the disproportionate use of the MHA, (b) use an adapted form of experience-based codesign (EBCD) to facilitate system-wide changes and (c) foreground the voices of service users at risk of detention to radically reform policy and implement new legislation to ensure the principles of equity are retained. METHODS AND ANALYSIS: This is a qualitative study, using a comparative case study design. This study is composed of five work packages; photovoice workshops will be conducted in eight local systems with service users and healthcare professionals separately (WP1); a series of three EBCD workshops in each local system to develop approaches that reduce detentions and improve the experience of people from racialised communities. This will inform a comparative analysis and national knowledge exchange workshop (WP2); an evaluation led by the patient and public involvement group to better understand what it is like for people to participate in photovoice, codesign and participatory research (WP3); an economic evaluation (WP4) and dissemination strategy (WP5). The impact of the involvement of patients and public will be independently evaluated. ETHICS AND DISSEMINATION: This study is sponsored by the University of Oxford and granted ethical approval from the NHS Research Ethics Committee and Health Research Authority (21/SC/0204). The outputs from this study will be shared through several local and national channels.

Background: There have been cases of suicide following the Work Capability Assessment (WCA), a questionnaire and interview for those claiming benefits due to ill health or disability in the United Kingdom. Aims: To examine whether experiencing problems with welfare benefits, including WCA, among people with pre-existing mental health conditions was associated with poorer mental health and wellbeing and increased health service use and costs. Methods: A prospective cohort study of an exposed group ( n = 42) currently seeking help from a Benefits Advice Service in London and a control group ( n = 45) who had recently received advice from the same service. Questionnaires at baseline and 3-, 6- and 12-month follow-ups. Results: The exposed group had higher mean scores for anxiety ( p = .008) and depression ( p = .016) at baseline and the control group higher mean scores for wellbeing at baseline ( p = .034) and 12 months ( p = .035). However, loss to follow-up makes overall results difficult to interpret. The control group had higher incomes throughout the study, particularly at the 12-month follow-up ( p = .004), but the differences could have been accounted for by other factors. Health service costs were skewed by a few participants who used day-care services intensively or had inpatient stays. Over the study period the proportion of exposed participants engaged in benefits reassessment ranged from 50% to 88%, and 40% to 76% of controls. Conclusion: The hardship of living with financial insecurity and a mental health condition made it difficult for our participants to sustain involvement in a 12-month study and the frequency of benefit reviews meant that the experiences of our controls were similar to our exposed group. These limitations limit interpretation but confirm the relevance of our research. The control data raise the question of whether people with mental health conditions are being disproportionately reassessed.

ABSTRACT Background: Little is known about the economic impact of military mental health screening. Aims: To investigate (a) whether post-deployment screening of military personnel affects use and cost of services and (b) the impact of psychiatric morbidity on costs. Methods: Participants were recruited from UK Royal Marine and Army platoons and randomised to an intervention group (which received tailored advice predicated upon mental health status) or a control group (which received general advice following assessment of mental health status). The intervention costs were calculated while service use and associated costs were assessed at 12-month follow-up. Results: Data were available for 6323 participants. Mean screening cost was £34. Service costs were slightly higher in the control group compared to the intervention group (£1197 vs. £1147) which was not statistically significant (bootstrapped 95%CI, £363 to £434. In both groups, screening and control, costs were significantly higher for those who screened positive for mental health problems. Conclusions: Costs were not affected by screening. In countries that have already implemented postdeployment screening, the political cost of disinvestment needs careful consideration. Those who develop psychiatric morbidity have substantially higher care costs than those who do not.

Background: Electronic Healthcare Records (EHRs) are created to capture summaries of care and contact made to healthcare services. EHRs offer a means to analyse admissions to hospitals for epidemiological research. In the United Kingdom (UK), England, Scotland and Wales maintain separate data stores, which are administered and managed exclusively by devolved Government. This independence results in harmonisation challenges, not least lack of uniformity, making it difficult to evaluate care, diagnoses and treatment across the UK. To overcome this lack of uniformity, it is important to develop methods to integrate EHRs to provide a multi-nation dataset of health. Objective: To develop and describe a method which integrates the EHRs of Armed Forces personnel in England, Scotland and Wales based on variable commonality to produce a multi-nation dataset of secondary health care. Methods: An Armed Forces cohort was used to extract and integrate three EHR datasets, using commonality as the linkage point. This was achieved by evaluating and combining variables which shared the same characteristics. EHRs representing Accident and Emergency (A&E), Admitted Patient Care (APC) and Outpatient care were combined to create a patient-level history spanning three nations. Patient-level EHRs were examined to ascertain admission differences, common diagnoses and record completeness. Results: A total of 6,336 Armed Forces personnel were matched, of which 5,460 personnel had 7,510 A&E visits, 9,316 APC episodes and 45,005 Outpatient appointments. We observed full completeness for diagnoses in APC, whereas Outpatient admissions were sparsely coded; with 88% of diagnoses coded as "Unknown/unspecified cause of morbidity". In addition, A&E records were sporadically coded; we found five coding systems for identifying reason for admission. Conclusion: At present, EHRs are designed to monitor the cost of treatment, enable administrative oversight, and are not currently suited to epidemiological research. However, only small changes may be needed to take advantage of what should be a highly cost-effective means of delivering important research for the benefit of the NHS.

BACKGROUND: A public health response is essential to meet the multidimensional needs of patients and families affected by HIV disease in sub-Saharan Africa. In order to appraise current provision of HIV care and support in East Africa, and to provide evidence-based direction to future care programming, and Public Health Evaluation was commissioned by the PEPFAR programme of the US Government. METHODS/DESIGN: This paper described the 2-Phase international mixed methods study protocol utilising longitudinal outcome measurement, surveys, patient and family qualitative interviews and focus groups, staff qualitative interviews, health economics and document analysis. Aim 1) To describe the nature and scope of HIV care and support in two African countries, including the types of facilities available, clients seen, and availability of specific components of care [Study Phase 1]. Aim 2) To determine patient health outcomes over time and principle cost drivers [Study Phase 2]. The study objectives are as follows. 1) To undertake a cross-sectional survey of service configuration and activity by sampling 10% of the facilities being funded by PEPFAR to provide HIV care and support in Kenya and Uganda (Phase 1) in order to describe care currently provided, including pharmacy drug reviews to determine availability and supply of essential drugs in HIV management. 2) To conduct patient focus group discussions at each of these (Phase 1) to determine care received. 3) To undertake a longitudinal prospective study of 1200 patients who are newly diagnosed with HIV or patients with HIV who present with a new problem attending PEPFAR care and support services. Data collection includes self-reported quality of life, core palliative outcomes and components of care received (Phase 2). 4) To conduct qualitative interviews with staff, patients and carers in order to explore and understand service issues and care provision in more depth (Phase 2). 5) To undertake document analysis to appraise the clinical care procedures at each facility (Phase 2). 6) To determine principle cost drivers including staff, overhead and laboratory costs (Phase 2). DISCUSSION: This novel mixed methods protocol will permit transparent presentation of subsequent dataset results publication, and offers a substantive model of protocol design to measure and integrate key activities and outcomes that underpin a public health approach to disease management in a low-income setting.