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PURPOSE: Unmet social needs pose barriers to cancer care, contributing to adverse outcomes and health inequities. A better understanding of how social needs change after cancer diagnosis can inform more effective, equity-focused interventions. METHODS: In this study, we examined self-reported social needs at 0, 3, and 6 months after a breast cancer diagnosis in a racially diverse, multilingual sample (n = 222) enrolled in patient navigation intervention at an urban safety-net hospital. At each timepoint, respondents completed surveys about social needs related to employment, disability benefits, housing and utilities, and personal and family stability. RESULTS: Over three-quarters (78%, n = 175) reported ≥ 1 social need, and 46% (n = 102) reported ≥ 3 social needs. The most frequently reported need was housing and utilities (64%, n = 142), followed by employment (40%, n = 90). Individuals from minoritized groups more frequently reported an increased number of social needs over time, compared with their White counterparts (p = 0.02). CONCLUSION: Our findings suggest that despite navigation, many cancer patients from historically underrepresented populations continue to experience social concerns over the first 6 months of treatment. Further research, conducted with historically underrepresented populations in research, is needed to better understand the social needs of breast cancer patients to inform effective and equitable interventions.
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OBJECTIVE: This paper evaluates ChatGPT's accuracy and consistency in providing information on ankyloglossia, a congenital oral condition. Assessing alignment with expert consensus, the study explores potential implications for patients relying on AI for medical information. METHODS: Statements from the 2020 clinical consensus statement on ankyloglossia were presented to ChatGPT, and its responses were scored using a 9-point Likert scale. The study analyzed the mean and standard deviation of ChatGPT scores for each statement. Statistical analysis was conducted using Excel. RESULTS: Among the 63 statements assessed, 67 % of ChatGPT responses closely aligned with expert consensus mean scores. However, 17 % (11/63) were statements in which the ChatGPT mean response was different from the CCS mean by 2.0 or greater, raising concerns about ChatGPT's potential influence in disseminating uncertain or debated medical information. Variations in mean scores highlighted discrepancies, with some statements showing significant deviations from expert opinions. CONCLUSION: While ChatGPT mirrored medical viewpoints on ankyloglossia, alignment with non-consensus statements raises caution in relying on it for medical advice. Future research should refine AI models, address inaccuracies, and explore diverse user queries for safe integration into medical decision-making. Despite potential benefits, ongoing examination of ChatGPT's power and limitations is crucial, considering its impact on health equity and information access.
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Anquiloglosia , Consenso , Humanos , NiñoRESUMEN
OBJECTIVE: To evaluate whether preterm infants with prenatal opioid exposure had differences in brain size on head ultrasounds (HUS) in comparison to non-exposed infants. STUDY DESIGN: Preterm infants ≤34 weeks with prenatal opioid exposure (n = 47) and matched non-exposed infants (n = 62) with early HUSs were examined. Fifteen brain measurements were made and linear regression models performed to evaluate differences. RESULTS: Brain measurements were smaller in the right ventricular index [ß = -0.18 mm (95% CI -0.32, -0.03]), left ventricular index [ß = -0.04 mm (95% CI -0.08, -0.003)], left basal ganglia insula [ß = -0.10 mm (95% CI -0.15, -0.04)], right basal ganglia insula [ß = -0.08 mm (95% CI -0.14, -0.03)], corpus callosum fastigium length [ß = -0.16 mm (95% CI -0.25, -0.06)], intracranial height index [ß = -0.31 mm (95% CI -0.44, -0.18)], and transcerebellar measurements [ß = -0.13 (95% CI -0.25, -0.02)] in the opioid-exposed group. CONCLUSIONS: Preterm infants with prenatal opioid exposure have smaller brain sizes compared to non-exposed infants, potentially increasing their risk for neurodevelopmental abnormalities.
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INTRODUCTION: In New Zealand, Maori and Pacific (mostly of Samoan, Tongan, Niuean, or Cook Islands origin) people with Type 2 diabetes are more likely to suffer poor outcomes than other New Zealanders. Responsibility for addressing this outcome differential is falling on primary care and general practice in particular. This paper compares the general practice care provided to people with Type 2 diabetes in South and West Auckland, according to ethnicity. METHOD: An external audit of general practice diabetes care is carried out in South and West Auckland by the Diabetes Care Support Service. The results of 5917 routine patient audits carried out in 2003 are included in this study. Number of visits, recording of important information, risk factors, and treatments are compared between different ethnic groups. RESULTS: Maori and Pacific people with diabetes who attend a regular GP had a higher average number of consultations than Europeans (5.7, 5.4, and 4.8 visits per year respectively). They were as likely as Europeans to have undergone important regular examinations and investigations. Maori were more likely than Europeans to be on some treatments. However, Maori and Pacific people were more likely to have a range of adverse risk factors for diabetes complications than Europeans. These include being a smoker (35, 18, and 13% respectively), having an HbA1c greater than 8% (50, 56, 23%), and having microalbuminuria (55, 50, 27%). DISCUSSION: Although there were no large differences in the process measures of general practice diabetes care provided to different ethnic groups in South and West Auckland, Maori and Pacific people were not achieving the same outcomes of care in terms of risk factors for diabetes complications. Many of these risk factors are influenced by other factors in the wider community; however the New Zealand health system needs to consider how it can better address these differences.