Managing the complex insulin needs of patients during care transitions

2014 ◽  
Vol 20 (9) ◽  
pp. 63-80
Keyword(s):  
Diabetes ◽  
2019 ◽  
Vol 68 (Supplement 1) ◽  
pp. 884-P
Author(s):  
JULIA I. BRAVIN ◽  
MICHELLE L. ANDERSON ◽  
TAYLOR CLARK ◽  
KIMBERLY L. SAVIN ◽  
DUVIA LARA LEDESMA ◽  
...  
Keyword(s):  
At Risk ◽  

Author(s):  
Emily Heuck ◽  
Abigail Wooldridge

Care transitions are key to patient safety and remain a safety issue despite previous research. This study examines how the design of care transitions impacts different health care professions. Twenty-nine physicians and nurses were interviewed about operating room to intensive care unit care transitions. We compared relationships between work system elements in positive and negative opinions about two sociotechnical system designs: including team or individual handoffs. Nurses did not express positive opinions of individual handoffs or negative opinions of team handoffs, while physicians expressed positive and negative opinions of both. Relationships between work system elements varied by profession in the positive opinions about team handoffs and negative opinions about individual handoffs. Professional needs and culture may be related to the different perceptions of each handoff. Future work should continue to examine professional differences when developing a flexibly standardized process to ensure all users are considered.


2021 ◽  
Vol 10 (2) ◽  
pp. e001230
Author(s):  
Michael Reid ◽  
George Kephart ◽  
Pantelis Andreou ◽  
Alysia Robinson

BackgroundRisk-adjusted rates of hospital readmission are a common indicator of hospital performance. There are concerns that current risk-adjustment methods do not account for the many factors outside the hospital setting that can affect readmission rates. Not accounting for these external factors could result in hospitals being unfairly penalized when they discharge patients to communities that are less able to support care transitions and disease management. While incorporating adjustments for the myriad of social and economic factors outside of the hospital setting could improve the accuracy of readmission rates as a performance measure, doing so has limited feasibility due to the number of potential variables and the paucity of data to measure them. This paper assesses a practical approach to addressing this problem: using mixed-effect regression models to estimate case-mix adjusted risk of readmission by community of patients’ residence (community risk of readmission) as a complementary performance indicator to hospital readmission rates.MethodsUsing hospital discharge data and mixed-effect regression models with a random intercept for community, we assess if case-mix adjusted community risk of readmission can be useful as a quality indicator for community-based care. Our outcome of interest was an unplanned repeat hospitalisation. Our primary exposure was community of residence.ResultsCommunity of residence is associated with case-mix adjusted risk of unplanned repeat hospitalisation. Community risk of readmission can be estimated and mapped as indicators of the ability of communities to support both care transitions and long-term disease management.ConclusionContextualising readmission rates through a community lens has the potential to help hospitals and policymakers improve discharge planning, reduce penalties to hospitals, and most importantly, provide higher quality care to the people that they serve.


Author(s):  
Nicholas S. Koufacos ◽  
Justine May ◽  
Kimberly M. Judon ◽  
Emily Franzosa ◽  
Brian E. Dixon ◽  
...  

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 804-804
Author(s):  
Kenneth Miller

Abstract The transitions between medical settings, the community and back again is a complex and intimidating process for patients, families and caregivers. These transitions are vulnerable points where planning is key and must begin at the initial examination with rehabilitation providers (PTs/OTs,SLPs). These providers are key members of the healthcare team to facilitate effective transition management. In this session, attendees will learn the critical factors rehabilitation providers use to evaluate patients in order to facilitate successful care transitions. An overview of the indications for rehabilitation referral will be presented, as well as evidence for effective rehabilitation strategies. The speaker will present tools from the American Physical Therapy Association Home Health Toolbox and outline a decision-making process for care transitions based on the individual, caregivers, and health care providers to achieve successful transitions that reduce resource use and hospital readmission rates. Attendees will learn strategies to facilitate inter-professional collaboration, communication, and advocacy.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Amy M. Yeh ◽  
Ashley Y. Song ◽  
Douglas L. Vanderbilt ◽  
Cynthia Gong ◽  
Philippe S. Friedlich ◽  
...  

Abstract Background Our objectives were (1) to describe Care Transitions Measure (CTM) scores among caregivers of preterm infants after discharge from the neonatal intensive care unit (NICU) and (2) to describe the association of CTM scores with readmissions, enrollment in public assistance programs, and caregiver quality of life scores. Methods The study design was a cross-sectional study. We estimated adjusted associations between CTM scores (validated measure of transition) with outcomes using unconditional logistic and linear regression models and completed an E-value analysis on readmissions to quantify the minimum amount of unmeasured confounding. Results One hundred sixty-nine parents answered the questionnaire (85% response rate). The majority of our sample was Hispanic (72.5%), non-English speaking (67.1%) and reported an annual income of <$20,000 (58%). Nearly 28% of the infants discharged from the NICU were readmitted within a year from discharge. After adjusting for confounders, we identified that a positive 10-point change of CTM score was associated with an odds ratio (95% CI) of 0.74 (0.58, 0.98) for readmission (p = 0.01), 1.02 (1, 1.05) for enrollment in early intervention, 1.03 (1, 1.05) for enrollment in food assistance programs, and a unit change (95% CI) 0.41 (0.27, 0.56) in the Multicultural Quality of Life Index score (p < 0.0001). The associated E-value for readmissions was 1.6 (CI 1.1) suggesting moderate confounding. Conclusion The CTM may be a useful screening tool to predict certain outcomes for infants and their families after NICU discharge. However, further work must be done to identify unobserved confounding factors such as parenting confidence, problem-solving and patient activation.


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