PubMed دسترسی آزاد

Implementation and evaluation of the Routine Assessment and Integration of Screening for Employment (RAISE) program in adults with metastatic breast cancer.

استودیوی صوتی مقاله

پخش حرفه‌ای فارسی و انگلیسی

در حال بررسی نسخه‌های صوتی ذخیره‌شده…

صوت تولیدشده با هوش مصنوعی است. برای کاربرد علمی یا درمانی، متن و منبع اصلی را بررسی کنید.
خواندن هوشمند فارسی و انگلیسی در حال آماده‌سازی صداهای مرورگر…
تنظیم صدای طبیعی و سرعت

صداهایی که در نامشان «Natural»، «Neural» یا «Online» دیده می‌شود معمولاً طبیعی‌ترند. انتخاب صدا به صداهای نصب‌شده در ویندوز و مرورگر شما بستگی دارد.

چکیده اصلی

PURPOSE: Adults living with metastatic breast cancer (mBC) often have unmet employed-related needs. To address this gap, we developed, implemented, and evaluated the Routine Assessment and Integration of Screening for Employment (RAISE) program for adults with mBC. METHODS: We designed a quality improvement project informed by the Specific, Measurable, Attainable, Relevant, and Timebound framework. In Phase 1 (development), we built and integrated an English/Spanish screener into the electronic health record (EHR) platform. In Phase 2 (implementation), 48 h before an oncology visit, patients received alerts through the patient portal that a screening assessment was available. Patients who reported needing support for employment-related concerns triggered an EHR alert to a patient navigator who reached out to offer educational resources (physical booklet and/or mobile app). Phase 3 (evaluation) was guided by the RE-AIM framework and included surveys and interviews with patients, providers, and staff to evaluate acceptability and feasibility of RAISE. RESULTS: Between March 2024 and August 2025, 179 patients with mBC completed the RAISE screener Of these, 22 (22/179, 12.2%) requested assistance/navigation and were provided with educational resources. Among 41 (41/179, 23%) patients surveyed (evaluation phase), 33 patients had completed the screener, and 8 had not. Of those who completed the screener and the evaluation survey, 91% (29/33) reported they were somewhat or very satisfied with RAISE and 78% (25/33) reported the EHR screening questions were clear to them. Key themes that emerged from 5 patient and 10 provider interviews included utility of the resources offered, screening preferences, and barriers to incorporation of screening into the clinical workflow. CONCLUSIONS: Screening for unmet employment needs and delivering resources and navigation is preliminarily feasible and acceptable to patients with mBC, providers, and staff at two NYC hospitals, though key barriers to implementation exist, including low pre-visit screening uptake and integration into the clinical workflow. CLINICAL TRIAL NUMBER: Not applicable.

متن کامل اصلی

نسخه دارای مجوز در منبع علمی در دسترس است.

لینک مستقیم از metadata منبع گرفته شده و در تب جدید باز می‌شود.

باز کردن متن کامل

کلیدواژه‌ها

Employment concernsHealth related social needsMetastatic breast cancer
در همین زیرشاخه

مقاله‌های مرتبط

PubMed2026

Clinical effectiveness and safety of metadoxine in the management of acute alcohol intoxication: A single-center retrospective cohort study.

BACKGROUND: Acute alcohol intoxication (AAI) is a common emergency with no specific antidote. Metadoxine has shown potential but lacks sufficient real-world evidence, particularly in Chinese populations. OBJECTIVES: To evaluate the clinical efficacy and safety of metadoxine in patients with acute alcohol intoxication. METHODS: This single-center retrospective cohort study included 124 patients with AAI admitted to an emergency departme…

PubMed2026

D3MI: an efficient and powerful federated imputation method for bias reduction in the analysis of distributed incomplete data by accounting for within-site correlation and between-site heterogeneity.

BACKGROUND: Electronic health records (EHRs) collected from diverse healthcare institutions offer a rich and representative data source for clinical research. Federated learning enables analysis of these distributed data without sharing sensitive patient-level information, preserving privacy. However, missing data remain a major challenge and can introduce substantial bias if not properly addressed. Very few distributed imputation meth…

PubMed2026

Extraction of Pain Severity and Functional Interference From Clinical Narratives Using Domain-Informed Large Language Models: Protocol for a Development and Validation Study.

BACKGROUND: Chronic pain is a leading cause of disability and requires multidimensional assessment of pain intensity and functioning, yet electronic health records rarely capture these measures systematically. By contrast, surveys collecting patient-reported outcomes can assess pain over multiple dimensions but remain resource-intensive and difficult to scale for continuous population-level monitoring. OBJECTIVE: The objective of this …

PubMed2026

From data entry to digital transformation: Allied health perspectives on standardised electronic medical records data.

BACKGROUND: Electronic medical records (EMRs) currently rely on standardised data fields to support secondary data use for clinical care, performance monitoring, and system-level reporting. However, utilisation of standardised data capture and reporting within allied health remains underdeveloped in practice. Greater understanding of how allied health clinicians and managers perceive the purpose, value, and impact of standardised data …