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Health & Place Jun 2024Traditional planning processes have perpetuated the exclusion of historically marginalized communities, imposing vulnerability to climate (health) crises. We investigate...
Exploring ownership of change and health equity implications in neighborhood change processes: A community-led approach to enhancing just climate resilience in Everett, MA.
Traditional planning processes have perpetuated the exclusion of historically marginalized communities, imposing vulnerability to climate (health) crises. We investigate how ownership of change fosters equitable climate resilience and community well-being through participatory action research. Our study highlights the detrimental effects of climate gentrification on community advocacy for climate security and health, negatively impacting well-being. We identify three key processes of ownership of change: ownership of social identity, development and decision-making processes, and knowledge. These approaches emphasize community-led solutions to counter climate health challenges and underscore the interdependence of social and environmental factors in mental health outcomes in climate-stressed communities.
PubMed: 38941653
DOI: 10.1016/j.healthplace.2024.103294 -
Medicine Jun 2024Frailty has been identified as a risk factor for adverse outcomes in older adults with diabetes. This study aimed to investigate the impact of frailty on the prognosis... (Meta-Analysis)
Meta-Analysis
BACKGROUND
Frailty has been identified as a risk factor for adverse outcomes in older adults with diabetes. This study aimed to investigate the impact of frailty on the prognosis of older adults with diabetes through a systematic review and meta-analysis, with the goal of offering insights for clinical decision-making.
METHODS
PubMed, Web of Science, Embase, Cochrane were systematically searched from inception to September 10th, 2023. Reviewers independently selected studies, extracted data and evaluated the quality of studies. Stata 15.1 Software was used to perform the meta-analysis. The primary outcomes of this study were mortality, hospitalization and disability, and the secondary outcomes were diabetes complications (including nephropathy, microvascular complications, macroangiopathy, cardiovascular events, hypoglycemia) and urolithiasis.
RESULTS
A total of 14 studies were included in this study, with low risk of bias and moderate to good quality. The results showed that frailty increased the risk of mortality (HR 1.91, 95% CI 1.55-2.35, P < .001), hospitalization (HR 2.19, 95% CI 1.53-3.13, P < .001), and disability in older adults with diabetes (HR 3.84, 95% CI 2.35-6.28, P < .001). In addition, frailty was associated with diabetes complications (including nephropathy, microvascular complications, macroangiopathy, cardiovascular events, hypoglycemia), urolithiasis.
CONCLUSIONS
Frailty is an important predictor of adverse outcomes, such as mortality, hospitalization, and disability in older adults with diabetes. Accurate assessment of the frailty in older adults with diabetes can help improve the adverse outcomes of patients.
Topics: Humans; Aged; Frailty; Hospitalization; Diabetes Complications; Diabetes Mellitus; Risk Factors; Prognosis; Frail Elderly; Aged, 80 and over; Female; Male
PubMed: 38941383
DOI: 10.1097/MD.0000000000038621 -
Medicine Jun 2024Emergency surgeries are linked with increased morbidity and reduced life expectancy, often associated with low socioeconomic status, limited access to healthcare, and...
Emergency surgeries are linked with increased morbidity and reduced life expectancy, often associated with low socioeconomic status, limited access to healthcare, and delayed hospital admissions. While the influence of socioeconomic status on elective surgery outcomes is well-established, its impact on emergency surgeries, including ostomy creation and closure, is less clear. This study aimed to explore how the pandemic and socioeconomic status affect emergency ostomy procedures, seeking to determine which has a greater effect. It emphasizes the importance of considering socioeconomic factors in patient care pathways for ostomy procedures. A total of 542 patients who underwent emergency ostomy formation between 2016 and 2022 were retrospectively analyzed and divided into pre-pandemic and pandemic periods. The pre-pandemic and pandemic periods were compared between themselves and against each other. Demographic data (age and sex), comorbidities, socioeconomic status, etiology of the primary disease, type of surgery, stoma type, length of hospital stay, ostomy closure time, and postoperative complications were retrospectively analyzed for all patients. In total, 290 (53%) patients underwent surgery during the pandemic period, whereas 252 (47%) underwent surgery during the pre-pandemic period. Emergency surgery was performed for malignancy in 366 (67%) patients. The number of days patients underwent ostomy closure was significantly higher in the low-income group (P = .038, 95% CI: 293,2, 386-945). The risk of failure of stoma closure was 3-fold (95% CI: 1.8-5.2) in patients with metastasis. The risk of mortality was 12.4-fold (95% CI: 6.5-23.7) when there was failure of stoma closure. When compared to pandemic period, the mortality risk was 6.3-fold (95% CI: 3.9-10.2) in pre-pandemic period. Pandemic patients had a shorter hospital stay than before the pandemic (P = .044). A high socioeconomic status was significantly associated with early hospital admission for ostomy closure, and lower probability of mortality. More metastases and perforations were observed during the pandemic period and mortality was increased during pandemic and in patients without ostomy closure. The socioeconomic status lost its effect in cases of emergency ostomy creation and had no impact on length of hospital stay in either the pre-pandemic or pandemic period.
Topics: Humans; Male; Female; Retrospective Studies; Middle Aged; Ostomy; Aged; Socioeconomic Factors; COVID-19; Length of Stay; Emergencies; Adult; Postoperative Complications; Pandemics; Aged, 80 and over; Social Class; Decision Making
PubMed: 38941379
DOI: 10.1097/MD.0000000000038706 -
PloS One 2024Causation and effectuation are two fundamental decision-making logics that managers use for crucial firm strategic decisions. However, existing research has yet to agree...
Causation and effectuation are two fundamental decision-making logics that managers use for crucial firm strategic decisions. However, existing research has yet to agree on the relationship between the two logics, supporting both the substitution and complementarity of causation and effectuation in influencing firm performance. This leaves us with a puzzle: How do causation and effectuation combine in balance to improve firm performance? To address the gap, we utilize a fuzzy set qualitative comparative analysis (fsQCA) with data collected from 344 small to medium-sized enterprises (SMEs) in China to uncover the dynamic relationships between the two logics. Our findings indicate that causation or effectuation alone is insufficient to achieve superior firm performance. By distinguishing between four dimensions of effectuation, we identify three types of configurations for high performance: (1) causation with promotion-focused effectuation principles; (2) causation with prevention-focused effectuation principles; (3) causation with hybrid-focused effectuation principles. More importantly, we find that the effectiveness of the configurations depends on the firm development stage. Our findings provide SMEs with practical insights into how to effectively choose their decision-making logic when faced with different firm growth challenges.
Topics: Humans; China; Decision Making; Fuzzy Logic
PubMed: 38941343
DOI: 10.1371/journal.pone.0302700 -
PloS One 2024This cross-sectional study aims to describe doubts regarding the diagnosis and treatment of syphilis in pregnancy among primary care professionals in a telehealth...
This cross-sectional study aims to describe doubts regarding the diagnosis and treatment of syphilis in pregnancy among primary care professionals in a telehealth service. All teleconsultations (TCs) offered through TelessaúdeRS-UFRGS to primary health care (PHC) services in the state of Rio Grande do Sul between 2018 and 2021 involving syphilis in pregnancy were included. A total of 356 (TCs) were analyzed. The main doubts about syphilis during pregnancy raised by primary care professionals were related to the need for retreatment (35%), diagnostic definition (23%) and initial treatment (16%). In addition, 95% of TCs were suitable for diagnosing and treating syphilis based on the 2020 Brazilian Ministry of Health guideline. This study suggests that TCs can identify failures in the diagnosis and treatment of public health problems and support decision making in PHC involving syphilis in pregnancy.
Topics: Humans; Female; Pregnancy; Syphilis; Telemedicine; Primary Health Care; Cross-Sectional Studies; Adult; Pregnancy Complications, Infectious; Brazil; Health Personnel
PubMed: 38941327
DOI: 10.1371/journal.pone.0306192 -
PloS One 2024Ad hoc teamwork is a research topic in multi-agent systems whereby an agent (the "ad hoc agent") must successfully collaborate with a set of unknown agents (the...
Ad hoc teamwork is a research topic in multi-agent systems whereby an agent (the "ad hoc agent") must successfully collaborate with a set of unknown agents (the "teammates") without any prior coordination or communication protocol. However, research in ad hoc teamwork is predominantly focused on agent-only teams, but not on agent-human teams, which we believe is an exciting research avenue and has enormous application potential in human-robot teams. This paper will tap into this potential by proposing HOTSPOT, the first framework for ad hoc teamwork in human-robot teams. Our framework comprises two main modules, addressing the two key challenges in the interaction between a robot acting as the ad hoc agent and human teammates. First, a decision-theoretic module that is responsible for all task-related decision-making (task identification, teammate identification, and planning). Second, a communication module that uses natural language processing to parse all communication between the robot and the human. To evaluate our framework, we use a task where a mobile robot and a human cooperatively collect objects in an open space, illustrating the main features of our framework in a real-world task.
Topics: Robotics; Humans; Cooperative Behavior; Decision Making; Communication
PubMed: 38941305
DOI: 10.1371/journal.pone.0305705 -
JMIR Research Protocols Jun 2024Artificial intelligence (AI) medical devices have the potential to transform existing clinical workflows and ultimately improve patient outcomes. AI medical devices have...
BACKGROUND
Artificial intelligence (AI) medical devices have the potential to transform existing clinical workflows and ultimately improve patient outcomes. AI medical devices have shown potential for a range of clinical tasks such as diagnostics, prognostics, and therapeutic decision-making such as drug dosing. There is, however, an urgent need to ensure that these technologies remain safe for all populations. Recent literature demonstrates the need for rigorous performance error analysis to identify issues such as algorithmic encoding of spurious correlations (eg, protected characteristics) or specific failure modes that may lead to patient harm. Guidelines for reporting on studies that evaluate AI medical devices require the mention of performance error analysis; however, there is still a lack of understanding around how performance errors should be analyzed in clinical studies, and what harms authors should aim to detect and report.
OBJECTIVE
This systematic review will assess the frequency and severity of AI errors and adverse events (AEs) in randomized controlled trials (RCTs) investigating AI medical devices as interventions in clinical settings. The review will also explore how performance errors are analyzed including whether the analysis includes the investigation of subgroup-level outcomes.
METHODS
This systematic review will identify and select RCTs assessing AI medical devices. Search strategies will be deployed in MEDLINE (Ovid), Embase (Ovid), Cochrane CENTRAL, and clinical trial registries to identify relevant papers. RCTs identified in bibliographic databases will be cross-referenced with clinical trial registries. The primary outcomes of interest are the frequency and severity of AI errors, patient harms, and reported AEs. Quality assessment of RCTs will be based on version 2 of the Cochrane risk-of-bias tool (RoB2). Data analysis will include a comparison of error rates and patient harms between study arms, and a meta-analysis of the rates of patient harm in control versus intervention arms will be conducted if appropriate.
RESULTS
The project was registered on PROSPERO in February 2023. Preliminary searches have been completed and the search strategy has been designed in consultation with an information specialist and methodologist. Title and abstract screening started in September 2023. Full-text screening is ongoing and data collection and analysis began in April 2024.
CONCLUSIONS
Evaluations of AI medical devices have shown promising results; however, reporting of studies has been variable. Detection, analysis, and reporting of performance errors and patient harms is vital to robustly assess the safety of AI medical devices in RCTs. Scoping searches have illustrated that the reporting of harms is variable, often with no mention of AEs. The findings of this systematic review will identify the frequency and severity of AI performance errors and patient harms and generate insights into how errors should be analyzed to account for both overall and subgroup performance.
TRIAL REGISTRATION
PROSPERO CRD42023387747; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=387747.
INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)
PRR1-10.2196/51614.
Topics: Humans; Randomized Controlled Trials as Topic; Artificial Intelligence; Algorithms; Systematic Reviews as Topic; Patient Harm; Equipment and Supplies; Research Design
PubMed: 38941147
DOI: 10.2196/51614 -
JAMA Network Open Jun 2024While adults aged 80 years and older account for 70% of hip fractures in the US, performance of fracture risk assessment tools in this population is uncertain.
IMPORTANCE
While adults aged 80 years and older account for 70% of hip fractures in the US, performance of fracture risk assessment tools in this population is uncertain.
OBJECTIVE
To compare performance of the Fracture Risk Assessment Tool (FRAX), Garvan Fracture Risk Calculator, and femoral neck bone mineral density (FNBMD) alone in 5-year hip fracture prediction.
DESIGN, SETTING AND PARTICIPANTS
Prognostic analysis of 3 prospective cohort studies including participants attending an index examination (1997 to 2016) at age 80 years or older. Data were analyzed from March 2023 to April 2024.
MAIN OUTCOMES AND MEASURES
Participants contacted every 4 or 6 months after index examination to ascertain incident hip fractures and vital status. Predicted 5-year hip fracture probabilities calculated using FRAX and Garvan models incorporating FNBMD and FNBMD alone. Model discrimination assessed by area under receiver operating characteristic curve (AUC). Model calibration assessed by comparing observed vs predicted hip fracture probabilities within predicted risk quintiles.
RESULTS
A total of 8890 participants were included, with a mean (SD) age at index examination of 82.6 (2.7) years; 4906 participants (55.2%) were women, 866 (9.7%) were Black, 7836 (88.1%) were White, and 188 (2.1%) were other races and ethnicities. During 5-year follow-up, 321 women (6.5%) and 123 men (3.1%) experienced a hip fracture; 818 women (16.7%) and 921 men (23.1%) died before hip fracture. Among women, AUC was 0.69 (95% CI, 0.67-0.72) for FRAX, 0.69 (95% CI, 0.66-0.72) for Garvan, and 0.72 (95% CI, 0.69-0.75) for FNBMD alone (FNBMD superior to FRAX, P = .01; and Garvan, P = .01). Among men, AUC was 0.71 (95% CI, 0.66-0.75) for FRAX, 0.76 (95% CI, 0.72-0.81) for Garvan, and 0.77 (95% CI, 0.72-0.81) for FNBMD alone (P < .001 Garvan and FNBMD alone superior to FRAX). Among both sexes, Garvan greatly overestimated hip fracture risk among individuals in upper quintiles of predicted risk, while FRAX modestly underestimated risk among those in intermediate quintiles of predicted risk.
CONCLUSIONS AND RELEVANCE
In this prognostic study of adults aged 80 years and older, FRAX and Garvan tools incorporating FNBMD compared with FNBMD alone did not improve 5-year hip fracture discrimination. FRAX modestly underpredicted observed hip fracture probability in intermediate-risk individuals. Garvan markedly overpredicted observed hip fracture probability in high-risk individuals. Until better prediction tools are available, clinicians should prioritize consideration of hip BMD, life expectancy, and patient preferences in decision-making regarding drug treatment initiation for hip fracture prevention in late-life adults.
Topics: Humans; Hip Fractures; Male; Female; Risk Assessment; Aged, 80 and over; Prospective Studies; Bone Density; Risk Factors; Femur Neck
PubMed: 38941095
DOI: 10.1001/jamanetworkopen.2024.18612 -
JAMA Health Forum Jun 2024
Topics: Artificial Intelligence; Humans; Patient Safety; Hospitals
PubMed: 38941085
DOI: 10.1001/jamahealthforum.2024.1369 -
Alternative Therapies in Health and... Jun 2024This meta-analysis evaluates the diagnostic value of echocardiography for Acute Heart Failure (AHF) and its utility in urgent clinical situations, emphasizing its...
OBJECTIVE
This meta-analysis evaluates the diagnostic value of echocardiography for Acute Heart Failure (AHF) and its utility in urgent clinical situations, emphasizing its significance for accurate and timely diagnosis in critical care.
METHODS
Relevant studies from databases like PubMed and Embase were selected using terms such as 'Ultrasound' and 'acute heart failure'. Inclusion criteria focused on studies evaluating echocardiographic diagnosis in adult patients presenting with symptoms suggestive of AHF. Quality assessment was performed using RevMan 5.3 and QUADAS. Key metrics like sensitivity, specificity, and likelihood ratios were analyzed using STATA 15.1. The types of echocardiography assessed included transthoracic and focused cardiac ultrasound.
RESULTS
Eighteen articles were included, indicating echocardiography's high sensitivity (0.92) and specificity (0.96) in diagnosing AHF. The combined positive likelihood ratio of 23.2 suggests that patients with AHF are over 23 times more likely to have a positive echocardiography result than those without AHF, greatly influencing clinical decision-making toward confirming the diagnosis. The AUC of the SROC curve was 0.98, indicating excellent overall accuracy.
CONCLUSION
Echocardiography is highly accurate in diagnosing AHF, underscored by its critical role in early treatment decisions and potential integration into standard care protocols, thereby preventing adverse outcomes and improving patient management.
PubMed: 38940797
DOI: No ID Found