Background: While reviewing outcomes metrics and data from the SRTR, it became apparent that prospective assessment of the SRTR reporting cohorts would be an important proactive strategy for internal quality control. It was particularly important to identify the number of patient deaths and graft failures within 1 year of transplant that would result in being flagged by the UNOS and the MPSC.

Methods: A simple Microsoft Excel line graph was created to visually display retrospective, current, and future SRTR cohorts. Data provided by the SRTR CUSUM (https://securesrtr.transplant.hrsa.gov/srtr-reports/cusum-charts/) Reports and the SRTR 1 Year Expected Survival Excel Worksheet (https://securesrtr.transplant.hrsa.gov/srtr-reports/current-release/) were leveraged to identify whether programs were in jeopardy of being flagged by UNOS/MPSC for outcomes.

Results & Conclusions: The creation of this visual tool has greatly improved team understanding of SRTR report cohorts, as well as the risk of being flagged by regulatory agencies, for adverse outcomes.

Download full-text PDF

Source
http://dx.doi.org/10.1111/petr.14117DOI Listing

Publication Analysis

Top Keywords

team understanding
8
reporting cohorts
8
srtr
7
utilization boston
4
boston children's
4
children's hospital
4
hospital srtr
4
srtr cohort
4
cohort visualization
4
visualization tool
4

Similar Publications

The rapid rise in numbers of people living with Alzheimer's disease and related disorders (ADRD) poses major challenges to health systems and policy. Although primary care clinicians provide ongoing medical care for 80% of affected individuals, they face persistent barriers to providing high-quality dementia care. We conducted qualitative interviews with family physicians ( = 20) to understand what core outcomes they consider most important and what care processes and systems and policy strategies they propose to achieve them.

View Article and Find Full Text PDF

Background: An increasing number of wearable medical devices are being used for personal monitoring and professional health care purposes. These mobile health devices collect a variety of biometric and health data but do not routinely connect to a patient's electronic health record (EHR) or electronic medical record (EMR) for access by a patient's health care team.

Methods: The International Federation of Clinical Chemistry and Laboratory Medicine (IFCC) Committee on Mobile Health and Bioengineering in Laboratory Medicine (C-MHBLM) developed consensus recommendations for consideration when interfacing mobile health devices to an EHR/EMR.

View Article and Find Full Text PDF

Background: The anthosphere, also known as the floral microbiome, is a crucial component of the plant reproductive system. Therefore, understanding the anthospheric microbiome is essential to explore the diversity, interactions, and functions of wildflowers that coexist in natural habitats. We aimed to explore microbial interaction mechanisms and key drivers of microbial community structures using 144 flower samples from 12 different wild plant species inhabiting the same natural environment in South Korea.

View Article and Find Full Text PDF

Exploring the barriers to cervical screening and perspectives on new self-sampling methods amongst under-served groups.

BMC Health Serv Res

January 2025

NIHR Greater Manchester Patient Safety Research Collaboration, Centre for Primary Care & Health Services Research, School of Health Sciences, Faculty of Biology, Medicine & Health, The University of Manchester, Greater Manchester, England, UK.

Background: Cervical screening rates have fallen in recent years in the UK, representing a health inequity for some under-served groups. Self-sampling alternatives to cervical screening may be useful where certain barriers prohibit access to routine cervical screening. However, there is limited evidence on whether self-sampling methods address known barriers to cervical screening and subsequently increase uptake amongst under-screened groups.

View Article and Find Full Text PDF

Background: Identifying markers or genes crucial for growth traits in Zhongwei goats is pivotal for breeding. Pinpointing genetic factors linked to body size gain enhances breeding efficiency and economic value. In this study, we used the MGISEQ-T7 platform to re-sequence 240 Zhongwei goats (133 male; 107 female) belonging to 5 metrics of growth traits at different growth stages (40 days and 6 months, here in after referred to as 40d and 6 m), namely, Body Weight (BW), Body Height (BH), Body Length (BL), Chest Circumference (CC), Tube Circumference (TC) were examined.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!