Evidence-based interventions for identifying candidate quality indicators to assess quality of care in diabetic foot clinics: a scoping review.

BACKGROUND: Foot ulcers in people with diabetes are a serious complication requiring a complex management and have a high societal impact. Quality monitoring systems to optimize diabetic foot care exist, but a formal and more evidence-based approach to develop quality indicators (QIs) is lacking. We aimed to identify a set of candidate indicators for diabetic foot care by adopting an evidence-based methodology. METHODS: A systematic search was conducted across four academic databases: PubMed, Embase CINAHL and Cochrane Library. Studies that reported evidence-based interventions related to organization or delivery of diabetic foot care were searched. Data from the eligible studies were summarized and used to formulate process and structure indicators. The evidence for each candidate QI was described in a methodical and transparent manner. The review process was reported according to the "Preferred Reported Items for Systematic reviews and Meta-Analysis" (PRISMA) statements and its extension for scoping reviews. RESULTS: In total, 981 full-text articles were screened, and 322 clinical studies were used to formulate 42 candidate QIs. CONCLUSIONS: An evidence-based approach could be used to select candidate indicators for diabetic foot ulcer care, relating to the following domains: wound healing interventions, peripheral artery disease, offloading, secondary prevention, and interventions related to organization of care. In a further step, the feasibility of the identified set of indicators will be assessed by a multidisciplinary panel of diabetic foot care stakeholders.

Ten steps to transform ideas into product innovations: An interdisciplinary collaboration between nursing and engineering.

AIMS: To describe the development process of a device from the conception of the idea to the first contact with the commercial environment, and to demonstrate its practical application through an interdisciplinary collaboration between nursing and engineering for the design of a protective device for peripheral venous catheters. BACKGROUND: Nurses are key agents for identifying unresolved needs or problems related to nursing care. To address these needs, creative ideation processes are often triggered among nurses to seek technological answers to these challenges. RESULTS: The ten steps to develop a device are presented: (1) detecting an unsatisfied clinical need; (2) searching for preexisting marketed products; (3) searching for patents; (4) maintaining confidentiality throughout the process; (5) obtaining institutional support; (6) forming a multidisciplinary team; (7) developing the idea; (8) applying for a patent; (9) building the prototype; (10) marketing the device. This methodology was applied to design a protective device for peripheral venous catheters in hospitalized patients. CONCLUSIONS: Nurses can play a key role in the promotion of healthcare innovation in their field to improve procedures, thanks to their direct contact with patients, and by providing their insight on devices that can enhance patient care. The successful interdisciplinary collaboration between nurses and engineers can provide a response to relevant clinical problems such as the manipulation or removal of peripheral venous catheters. IMPLICATIONS FOR NURSING AND/OR HEALTH POLICY: A hospital policy is required to encourage the participation of nurses in innovative actions. Furthermore, it is important to support nurse leaders who can play a pivotal role in incorporating creativity into work environments and empowering other nurses to innovatively address clinical issues. NO PATIENT OR PUBLIC CONTRIBUTION: This article describes the process for developing a health device.

Effects of workplace incivility and workload on nurses' work attitude: The mediating effect of burnout.

AIM: The study's aim was to examine how workplace incivility and workload influence nurses' work attitudes (turnover intention, job satisfaction, and organizational commitment) using the stress-strain-outcome framework. BACKGROUND: There is a lack of comprehensive research on the combined effects of workplace incivility and workload on nurses' work attitudes. INTRODUCTION: Two workplace stressors, incivility and workload, were hypothesized to lead to burnout, which in turn influences nurses' work attitudes. METHODS: A cross-sectional, descriptive correlational study was conducted. Survey data were collected from 1,255 direct care nurses with a minimum of 6 months' nursing experiences in 34 general hospitals across Korea. Structural equation modeling was used to test the hypothesized model. This study is reported using the STROBE checklist. RESULTS: As hypothesized, both workplace incivility and workload increased burnout. Heightened burnout correlated with increased turnover intention, lowered job satisfaction, and reduced organizational commitment. While workplace incivility impacted these outcomes both directly and indirectly via its effect on burnout, workload influenced the outcomes solely through burnout. CONCLUSION: The study's findings are based on one, nonrandomized sample of nurses working at South Korean hospitals. Despite such study limitations, the study findings support the adverse impact of two workplace stressors on burnout and nurses' work attitudes. IMPLICATIONS FOR NURSING: Evidence-informed interventions for both workplace stressors include training programs, clear policy guidelines, open communication channels, and supportive work environments. IMPLICATIONS FOR NURSING AND HEALTH POLICY: Zero tolerance and equity, diversity and inclusivity policies to promote workplace civility must be enforced. Workload needs to be patient-centered, ensuring a "fit" between patient needs and nurse staffing.

"It's about how you take in things with your brain" - young people's perspectives on mental health and help seeking: an interview study.

INTRODUCTION: Poor mental health in young people has become a growing problem globally over the past decades. However, young people have also been shown to underutilize available healthcare resources. The World Health Organisation (WHO) has formulated guidelines for youth-friendly health services (YFHSs) to increase youth participation in healthcare. Still, little is known about how young people using these services perceive mental health, indicating a knowledge gap concerning the subjective evaluation of their mental health. AIM: To investigate how young people visiting youth health clinics (YHC) perceive the concept of mental health and factors they view as central to maintaining mental health. METHODS: In total 21 interviews were carried out, 16 in 2018, and 5 in 2023 to assure no changes in findings after the COVID-19 pandemic. Subjects were recruited during visits to youth health clinics (YHCs) in mid-Sweden and were aged 15-23 years. Recruitment strived to achieve heterogeneity in the sample concerning gender, sexual orientation, gender identity and age. Interviews were transcribed and analysed using qualitative content analysis. FINDINGS: Findings of the analysis revealed two themes, "Mental health is helped and hindered by the surroundings" and "Mental health is difficult to understand and difficult to achieve". The participants described their health as highly dependent on their social surroundings, and that these are important to maintaining health but may also affect health negatively. They described mixed experiences of the health care services and mentioned prerequisites for seeking care for mental health problems such as accessibility and respect for their integrity, including the right to turn down offered treatment. The informants also viewed mental health as an ongoing undertaking that one must work for, and that it is sometimes difficult to know what constitutes mental health. They also expressed a need from healthcare services to enquire about their health, and to show an active interest in how they are doing. CONCLUSIONS: Findings underline the need of young people's individual needs to be met in the healthcare system and their vulnerability to their social surroundings. Health status assessments in young people should consider social and individual factors to fully capture mental health.

"I am in favour of organ donation, but I feel you should opt-in"-qualitative analysis of the #options 2020 survey free-text responses from NHS staff toward opt-out organ donation legislation in England.

BACKGROUND: In May 2020, England moved to an opt-out organ donation system, meaning adults are presumed to be an organ donor unless within an excluded group or have opted-out. This change aims to improve organ donation rates following brain or circulatory death. Healthcare staff in the UK are supportive of organ donation, however, both healthcare staff and the public have raised concerns and ethical issues regarding the change. The #options survey was completed by NHS organisations with the aim of understanding awareness and support of the change. This paper analyses the free-text responses from the survey. METHODS: The #options survey was registered as a National Institute of Health Research (NIHR) portfolio trial [IRAS 275992] 14 February 2020, and was completed between July and December 2020 across NHS organisations in the North-East and North Cumbria, and North Thames. The survey contained 16 questions of which three were free-text, covering reasons against, additional information required and family discussions. The responses to these questions were thematically analysed. RESULTS: The #options survey received 5789 responses from NHS staff with 1404 individuals leaving 1657 free-text responses for analysis. The family discussion question elicited the largest number of responses (66%), followed by those against the legislation (19%), and those requiring more information (15%). Analysis revealed six main themes with 22 sub-themes. CONCLUSIONS: The overall #options survey indicated NHS staff are supportive of the legislative change. Analysis of the free-text responses indicates that the views of the NHS staff who are against the change reflect the reasons, misconceptions, and misunderstandings of the public. Additional concerns included the rationale for the change, informed decision making, easy access to information and information regarding organ donation processes. Educational materials and interventions need to be developed for NHS staff to address the concepts of autonomy and consent, organ donation processes, and promote family conversations. Wider public awareness campaigns should continue to promote the positives and refute the negatives thus reducing misconceptions and misunderstandings. TRIAL REGISTRATION: National Institute of Health Research (NIHR) [IRAS 275992].

The impact of COVID-19 on healthcare booking and cancellation patterns: time series analysis of private healthcare service utilisation in Finland.

BACKGROUND: COVID-19 has had wide-reaching effects on healthcare services beyond the direct treatment of the pandemic. Most current studies have reported changes in realised service usage, but the dynamics of how patients engage with healthcare services are less well understood. We analysed the effects of COVID-19 on healthcare bookings and cancellations for various service channels between January 2020 and July 2021. METHODS: Our data includes 7.3 million bookings, 11.0 million available appointments, and 405.1 thousand cancellations by 900.6 thousand individual patients between the ages of 18 and 65 years. The data were collected from electronic health record data, including laboratory and imaging services as well as inpatient stays, between January 2017 and July 2021. The patients were Finnish private and occupational healthcare customers in the capital region of Finland. We fitted an autoregressive moving average (ARIMA) model on data between 2017 and 2019 to predict the expected numbers of bookings, available appointments, and cancellations, which were compared to observed time series data between 2020 and 2021. RESULTS: Utilisation of physical, in-person primary care physician appointments decreased by up to 50% during the first 18 months of the pandemic. At the same time, digital care channels experienced a rapid, multi-fold increase in service usage. Simultaneously, the number of bookings for laboratory and imaging services decreased by 50% below the pre-pandemic projections. The number of specialist and hospital service bookings remained at the predicted level during the study period. Cancellations for most health services increased sharply by up to three times the pre-COVID levels during the first weeks of the pandemic but returned to the pre-pandemic levels for the rest of the study period. CONCLUSIONS: The reduction in in-person appointments and the increase in the utilisation of digital services was likely a contributing factor in the decrease of the utilisation of diagnostic and imaging services throughout the study period. Utilisation of specialist care and hospital services were not affected. Cancellations contributed to the changes in service utilisation only during the first weeks of the pandemic.

Two-year follow-up of a clustered randomised controlled trial of a multicomponent general practice intervention for people at risk of poor health outcomes.

BACKGROUND: This study was a two-year follow-up evaluation of health service use and the cost-effectiveness of a multicomponent general practice intervention targeted at people at high risk of poor health outcomes. METHODS: A two-year follow-up study of a clustered randomised controlled trial was conducted in South Australia during 2018-19, recruiting 1044 patients from three cohorts: children; adults (aged 18-64 years with two or more chronic diseases); and older adults (aged ≥ 65 years). Intervention group practices (n = 10) provided a multicomponent general practice intervention for 12 months. The intervention comprised patient enrolment to a preferred general practitioner (GP), access to longer GP appointments and timely general practice follow-up after episodes of hospital care. Health service outcomes included hospital use, specialist services and pharmaceuticals. The economic evaluation was based on quality-adjusted life years (QALYs) calculated from EuroQoL 5 dimensions, 5 level utility scores and used an A$50,000 per QALY gained threshold for determining cost-effectiveness. RESULTS: Over the two years, there were no statistically significant intervention effects for health service use. In the total sample, the mean total cost per patient was greater for the intervention than control group, but the number of QALYs gained in the intervention group was higher. The estimated incremental cost-effectiveness ratio (ICER) was A$18,211 per QALY gained, which is lower than the A$50,000 per QALY gained threshold used in Australia. However, the intervention's cost-effectiveness was shown to differ by cohort. For the adult cohort, the intervention was associated with higher costs and lower QALYs gained (vs the total cohort) and was not cost-effective. For the older adults cohort, the intervention was associated with lower costs (A$540 per patient), due primarily to lower hospital costs, and was more effective than usual care. CONCLUSIONS: The positive cost-effectiveness results from the 24-month follow-up warrant replication in a study appropriately powered for outcomes such as hospital use, with an intervention period of at least two years, and targeted to older people at high risk of poor health outcomes.

What supports and services post COVID-19 do children with disabilities and their parents need and want, now and into the future?

Introduction: Children and youth with disabilities and special healthcare needs, and their families, have been uniquely affected by the COVID-19 pandemic. However, the voices of children themselves are still not well represented in the existing literature. Methods: This qualitative descriptive study used a combination of visual methods and interviews to learn about the experiences of Canadian children with disabilities (n=18) and their parents (n=14) during the COVID pandemic and into the post-pandemic period. Data collection was carried out between January and July 2023. The aim was to identify the supports and services children and families need at present and moving forward. Results: Families' pandemic experiences were complex and nuanced. For many, the pandemic complicated and disrupted everyday activities and supports. These disruptions were largely buffered by parents. However, some families also identified unexpected benefits. Key themes pertaining to present and future needs included the need for services that are flexible; consistent; conducive to relationship-building; comprehensive; coordinated across sectors; and designed to support the needs of the whole family. Discussion: Implications for policy and practice are outlined.

Impact of COVID-19 pandemic on depression incidence and healthcare service use among patients with depression: an interrupted time-series analysis from a 9-year population-based study.

BACKGROUND: Most studies on the impact of the COVID-19 pandemic on depression burden focused on the earlier pandemic phase specific to lockdowns, but the longer-term impact of the pandemic is less well-studied. In this population-based cohort study, we examined the short-term and long-term impacts of COVID-19 on depression incidence and healthcare service use among patients with depression. METHODS: Using the territory-wide electronic medical records in Hong Kong, we identified all patients aged ≥ 10 years with new diagnoses of depression from 2014 to 2022. We performed an interrupted time-series (ITS) analysis to examine changes in incidence of medically attended depression before and during the pandemic. We then divided all patients into nine cohorts based on year of depression incidence and studied their initial and ongoing service use patterns until the end of 2022. We applied generalized linear modeling to compare the rates of healthcare service use in the year of diagnosis between patients newly diagnosed before and during the pandemic. A separate ITS analysis explored the pandemic impact on the ongoing service use among prevalent patients with depression. RESULTS: We found an immediate increase in depression incidence (RR = 1.21, 95% CI: 1.10-1.33, p < 0.001) in the population after the pandemic began with non-significant slope change, suggesting a sustained effect until the end of 2022. Subgroup analysis showed that the increases in incidence were significant among adults and the older population, but not adolescents. Depression patients newly diagnosed during the pandemic used 11% fewer resources than the pre-pandemic patients in the first diagnosis year. Pre-existing depression patients also had an immediate decrease of 16% in overall all-cause service use since the pandemic, with a positive slope change indicating a gradual rebound over a 3-year period. CONCLUSIONS: During the pandemic, service provision for depression was suboptimal in the face of increased demand generated by the increasing depression incidence during the COVID-19 pandemic. Our findings indicate the need to improve mental health resource planning preparedness for future public health crises.

A Smartphone-Based M-Health Monitoring System for Arrhythmia Diagnosis.

Deep learning technology has been widely adopted in the research of automatic arrhythmia detection. However, there are several limitations in existing diagnostic models, e.g., difficulties in extracting temporal information from long-term ECG signals, a plethora of parameters, and sluggish operation speed. Additionally, the diagnosis performance of arrhythmia is prone to mistakes from signal noise. This paper proposes a smartphone-based m-health system for arrhythmia diagnosis. First, we design a cycle-GAN-based ECG denoising model which takes real-world noise signals as input and aims to produce clean ECG signals. In order to train its two generators and two discriminators simultaneously, we explore an unsupervised pre-training strategy to initialize the generator and accelerate the convergence speed during training. Second, we propose an arrhythmia diagnosis model based on the time convolution network (TCN). This model can identify 34 common arrhythmia events using eight-lead ECG signals, and we deploy such a model on the Android platform to develop an at-home ECG monitoring system. Experimental results have demonstrated that our approach outperforms the existing noise reduction methods and arrhythmia diagnosis models in terms of denoising effect, recognition accuracy, model size, and operation speed, making it more suitable for deployment on mobile devices for m-health monitoring services.

Environmental Risk Assessment in Community Care: A Scoping Review.

Community care encompasses inherent risks for both clients and healthcare providers. Maintaining a safe environment for the delivery of care services ensures that any risk of unintentional or intentional personal harm is minimised. The aim of this scoping review is to (a) provide an overview of existing knowledge by summarising the current literature and (b) identify gaps pertaining to understanding and managing environmental risk in community care settings. Guided by the Population/Concept/Context approach and PRISMA guidelines, this paper used two questions to answer how a score-based tool for assessing client suitability in community care is developed and how an environmental screening tool assists with reducing risk to community care workers. Literature searches of CINAHL, PubMed (Medline), Web of Science and PsychINFO databases were conducted between September 2023 and November 2023. We included full text articles published from 2018 to 2023. The following four broad areas were identified as key components in the structure of an environmental screening tool: environmental factors, health factors, socioeconomic factors and cultural factors. The results of this review provide valuable information which can be utilised by care organisations to develop and/or refine tools to ensure the safety and wellbeing of workers within the community care sector.

Eye Care Service Use and Associated Health-Seeking Behaviors Among Malawian Adults: Secondary Analysis of the Malawi Fifth Integrated Household Survey 2019-2020.

Background: The use of eye care services varies among different population groups. Objective: This study aimed to assess self-reported eye care use (ECU) and associated demographic factors among Malawian adults. Methods: This study used secondary data from the Malawi Fifth Integrated Household Survey 2019-2020, a nationally representative survey. The study included 12,288 households and 27,336 individuals 15 years and older. We entered age, sex, level of education, residency (urban/rural), and chronic disease into a logistic regression model, and used a confusion matrix to predict the model's accuracy. A P value <.05 was considered statistically significant. Results: About 60.6% (95% CI 60.0%-61.2%) of those with eye problems accessed formal care 2 weeks before the survey date. A logistic regression model showed that ECU was positively associated with education compared to none (odds ratio [OR] 6.6, 95% CI 5.927-7.366; P<.001), males compared to females (OR 1.2, 95% CI 1.104-1.290; P<.001), and urban residence compared to rural (OR 1.2, 95% CI 1.118-1.375; P<.001). ECU was negatively associated with age (OR 7, 95% CI 6.782-8.476; P<.001) and having chronic diseases (OR 0.6, 95% CI 0.547-0.708; P<.001). Conclusions: Social support, women empowerment, education, and mobile clinics are key strategic areas that would increase access to eye care in Malawi. Further studies can investigate ECU among the pediatric population.

Landscape of Digital Technologies Used in the National Health Service in England: Content Analysis.

BACKGROUND: In England, digital technologies are exploited to transform the way health and social care is provided and encompass a wide range of hardware devices and software that are used in all aspects of health care. However, little is known about the extent to which health care providers differ in digital health technology capabilities and how this relates to geographical and regional differences in health care capacities and resources. OBJECTIVE: This paper aims to identify the set of digital technologies that have been deployed by the National Health Services clinical commissioning groups (NHS CCGs) in England. In doing this, we respond to calls to shed light on the internal dynamics and variation in the form of digital capability in England in terms of health service regional differences and health diversity, equity, and inclusion. METHODS: We collected 135 annual reports that belong to 106 NHS CCGs in England, comprising more than 18,000 pages in total, released from 2020 to 2021. Using this data set, we identified 2163 pages related to digital technologies and labeled them using content analysis. We follow the construct taxonomy used by digital options theory, a theory from the management information systems field analyzing organizational resource investment choices, in classifying observed technologies according to digital themes-inherent design patterns that we identified and explained. We then used a hierarchical clustering method to extract groups of NHS CCGs that implement similar technology themes. RESULTS: We found 31 technologies from the reports and grouped them into 9 digital themes. The 9 themes were further assigned to 1 of the 3 constructs of digital options theory, the identification of patients' requirements (we identified information portals [76/106], digital health engagement [67/106], and digital inclusion support [45/106]), the development of new work patterns (we identified telehealth [87/106], telemedicine [35/106], and care home technologies [40/106]), the realization of improvements in efficiency and public accessibility (we identified online booking [26/106], online triage [104/106], and digital mental health services [74/106]). The 3 clusters of CCGs are identified based on the 8 themes (Hopkins=0.9914, silhouette=0.186), namely (1) digitally disengaged, (2) digitally engaged, and (3) digital torchbearer. CONCLUSIONS: Our findings show prominent digital themes within each construct group, namely information portals, telehealth, and online triage, covering people's fundamental health information needs. Almost half of CCGs fell into the digitally disengaged group, and all London CCGs (5/106) belonged to this group. We propose that practitioners should offer specialized assistance to regions with limited digital engagement, emphasizing digital health literacy, inclusion support, and ongoing evaluation, rather than concentrating solely on technical advancements.

Roles and Dynamics within Community Mental Health Systems During the COVID-19 Pandemic: A Qualitative Systematic Review and Meta-Ethnography.

Globally, COVID-19 had an immense impact on mental health systems, but research on how community mental health (CMH) systems and services contributed to the pandemic mental health response is limited. We conducted a systematic review and meta-ethnography to understand the roles of CMH services, determinants of the quality of CMH care, and dynamics within CMH systems during COVID-19. We searched and screened across five databases and appraised study quality using the CASP tool, which yielded 27 qualitative studies. Our meta-ethnographic process used Noblit and Hare's approach for synthesizing findings and applying interpretive analysis to original research. This identified several key themes. Firstly, CMH systems played the valuable pandemic role of safety nets and networks for the broader mental health ecosystem, while CMH service providers offered a continuous relationship of trust to service users amidst pandemic disruptions. Secondly, we found that the determinants of quality CMH care during COVID-19 included resourcing and capacity, connections across service providers, customized care options, ease of access, and human connection. Finally, we observed that power dynamics across the CMH landscape disproportionately excluded marginalized groups from mainstream CMH systems and services. Our findings suggest that while the pandemic role of CMH was clear, effectiveness was driven by the efforts of individual service providers to meet demand and service users' needs. To reprise its pandemic role in the future, a concerted effort is needed to make CMH systems a valuable part of countries' disaster mental health response and to invest in quality care, particularly for marginalized groups.

Mental Health Symptoms and Service Use in Depressed and Anxious Minors at the Onset of COVID-19 in a County Clinic Serving a Predominantly Hispanic Population.

OBJECTIVE: The study's primary aim was to compare the utilization rates of services by minors with depression/anxiety in a county mental health clinic before (from December 1, 2019, to March 15, 2020) and during the COVID-19 pandemic (from March 16 to June 30, 2020). The secondary aim was to study demographics and psychiatric symptomatology. METHODS: Service utilization rates were estimated. Univariate and multivariate logistic regression was used to identify significant predictors of worsening psychiatric symptoms, anxiety, and change in the frequency of therapy between the pre-COVID-19 period and the COVID-19 period. RESULTS: Service utilization rates increased during the pandemic period. During the pandemic, the presence of mood symptoms, suicidal ideation, and relationship conflicts predicted worsening psychiatric symptoms. In addition, the presence of preexisting sleep problems and physical health issues that continued during COVID-19 exhibited correlations with worsening psychiatric symptoms during COVID-19. COVID-related stressors and physical health issues were associated with anxiety; suicidal ideation predicted a change in the frequency of therapy. CONCLUSIONS:  Prospective studies to recognize risk factors for worsening mental health in minors with psychiatric illness during a crisis are warranted to identify and allocate services to the high-risk groups.

An exploration of service use pattern changes and cost analysis following implementation of community perinatal mental health teams in pregnant women with a history of specialist mental healthcare in England: a national population-based cohort study.

BACKGROUND: The National Health Service in England pledged >£365 million to improve access to mental healthcare services via Community Perinatal Mental Health Teams (CPMHTs) and reduce the rate of perinatal relapse in women with severe mental illness. This study aimed to explore changes in service use patterns following the implementation of CPMHTs in pregnant women with a history of specialist mental healthcare in England, and conduct a cost-analysis on these changes. METHODS: This study used a longitudinal cohort design based on existing routine administrative data. The study population was all women residing in England with an onset of pregnancy on or after 1st April 2016 and who gave birth on or before 31st March 2018 with pre-existing mental illness (N = 70,323). Resource use and costs were compared before and after the implementation of CPMHTs. The economic perspective was limited to secondary mental health services, and the time horizon was the perinatal period (from the start of pregnancy to 1-year post-birth, ~ 21 months). RESULTS: The percentage of women using community mental healthcare services over the perinatal period was higher for areas with CPMHTs (30.96%, n=9,653) compared to areas without CPMHTs (24.72%, n=9,615). The overall percentage of women using acute care services (inpatient and crisis resolution teams) over the perinatal period was lower for areas with CPMHTs (4.94%, n=1,540 vs. 5.58%, n=2,171), comprising reduced crisis resolution team contacts (4.41%, n=1,375 vs. 5.23%, n=2,035) but increased psychiatric admissions (1.43%, n=445 vs. 1.13%, n=441). Total mental healthcare costs over the perinatal period were significantly higher for areas with CPMHTs (fully adjusted incremental cost £111, 95% CI £29 to £192, p-value 0.008). CONCLUSIONS: Following implementation of CPMHTs, the percentage of women using acute care decreased while the percentage of women using community care increased. However, the greater use of inpatient admissions alongside greater use of community care resulted in a significantly higher mean cost of secondary mental health service use for women in the CPMHT group compared with no CPMHT. Increased costs must be considered with caution as no data was available on relevant outcomes such as quality of life or satisfaction with services.

Adequacy of prostate cancer prevention and screening recommendations provided by an artificial intelligence-powered large language model.

PURPOSE: We aimed to assess the appropriateness of ChatGPT in providing answers related to prostate cancer (PCa) screening, comparing GPT-3.5 and GPT-4. METHODS: A committee of five reviewers designed 30 questions related to PCa screening, categorized into three difficulty levels. The questions were formulated identically for both GPTs three times, varying the prompts. Each reviewer assigned a score for accuracy, clarity, and conciseness. The readability was assessed by the Flesch Kincaid Grade (FKG) and Flesch Reading Ease (FRE). The mean scores were extracted and compared using the Wilcoxon test. We compared the readability across the three different prompts by ANOVA. RESULTS: In GPT-3.5 the mean score (SD) for accuracy, clarity, and conciseness was 1.5 (0.59), 1.7 (0.45), 1.7 (0.49), respectively for easy questions; 1.3 (0.67), 1.6 (0.69), 1.3 (0.65) for medium; 1.3 (0.62), 1.6 (0.56), 1.4 (0.56) for hard. In GPT-4 was 2.0 (0), 2.0 (0), 2.0 (0.14), respectively for easy questions; 1.7 (0.66), 1.8 (0.61), 1.7 (0.64) for medium; 2.0 (0.24), 1.8 (0.37), 1.9 (0.27) for hard. GPT-4 performed better for all three qualities and difficulty levels than GPT-3.5. The FKG mean for GPT-3.5 and GPT-4 answers were 12.8 (1.75) and 10.8 (1.72), respectively; the FRE for GPT-3.5 and GPT-4 was 37.3 (9.65) and 47.6 (9.88), respectively. The 2nd prompt has achieved better results in terms of clarity (all p < 0.05). CONCLUSIONS: GPT-4 displayed superior accuracy, clarity, conciseness, and readability than GPT-3.5. Though prompts influenced the quality response in both GPTs, their impact was significant only for clarity.

Acceptability of Tele-mental Health Services Among Users: A Systematic Review and Meta-analysis.

BACKGROUND: Mental disorders are currently a global public health concern, particularly after the coronavirus disease 2019 (COVID-19) pandemic. Mental health services gradually transitioned to teleservices, employing various methods like texting and videoconferencing. This meta-analysis aimed mainly to quantify the acceptability of tele-mental health services among both beneficiaries and providers. Secondary objectives included quantifying the usability of and satisfaction with these services. METHODS: We conducted a systematic search of the following databases PubMed Central, SAGE, Google Scholar, Scopus, Web of Science, PubMed Medline, and EBSCO according to Preferred Reporting Items of the Systematic Reviews and Meta-Analysis (PRISMA) guidelines until December 2022. RESULTS: Out of 3366 search results, 39 studies fully met the inclusion criteria. The pooled acceptability of tele-mental health services among beneficiaries was [71.0% with a 95% confidence interval (CI) of 63.0 - 78.5%, I2 = 98%]. Using meta-regression, four key factors contributed to this heterogeneity (R2 = 99.75%), namely, year of publication, type of mental disorder, participant category, and the quality of included studies. While acceptability among providers was [66.0% (95%CI, 52.0 - 78.0%), I2 = 95%]. The pooled usability of tele-mental health services among participants was [66.0% (95%CI, 50.0 - 80.0%), I2 = 83%]. Subgroup analysis revealed statistically significant results (p = 0.003), indicating that usability was higher among beneficiaries compared to providers. CONCLUSIONS: The study highlighted a high acceptability of tele-mental health services. These findings suggest a promising outlook for the integration and adoption of tele-mental health services and emphasize the importance of considering user perspectives and addressing provider-specific challenges to enhance overall service delivery and effectiveness.

Alleviating the burden of depression: a simulation study on the impact of mental health services.

AIMS: Depressive disorders are ranked as the single leading cause of disability worldwide. Despite immense efforts, there is no evidence of a global reduction in the disease burden in recent decades. The aim of the study was to determine the public health impact of the current service system (status quo), to quantify its effects on the depression-related disease burden and to identify the most promising strategies for improving healthcare for depression on the population level. METHODS: A Markov model was developed to quantify the impact of current services for depression (including prevention, treatment and aftercare interventions) on the total disease burden and to investigate the potential of alternative scenarios (e.g., improved reach or improved treatment effectiveness). Parameter settings were derived from epidemiological information and treatment data from the literature. Based on the model parameters, 10,000,000 individual lives were simulated for each of the models, based on monthly transition rates between dichotomous health states (healthy vs. diseased). Outcome (depression-related disease burden) was operationalized as the proportion of months spent in depression. RESULTS: The current healthcare system alleviates about 9.5% (95% confidence interval [CI]: 9.2%-9.7%) of the total disease burden related to depression. Chronic cases cause the majority (83.2%) of depression-related burden. From a public health perspective, improving the reach of services holds the largest potential: Maximum dissemination of prevention (26.9%; CI: 26.7%-27.1%) and treatment (26.5%; CI: 26.3%-26.7%) would result in significant improvements on the population level. CONCLUSIONS: The results confirm an urgent need for action in healthcare for depression. Extending the reach of services is not only more promising but also probably more achievable than increasing their effectiveness. Currently, the system fails to address the prevention and treatment of chronic cases. The large proportion of the disease burden associated with chronic courses highlights the need for improved treatment policies and clinical strategies for this group (e.g., disease management and adaptive or personalized interventions). The model complements the existing literature by providing a new perspective on the depression-related disease burden and the complex interactions between healthcare services and the lifetime course.