Objectives: To explore the diabetes self-management expectations of older adults with diabetes, not yet accessing residential aged care services. Admission to residential aged care (RAC) can create many interruptions to usual food choices and diabetes self-management, and we know little about the concerns of the emerging ageing population.
Methods: This is a qualitative study employing focus groups and inductive thematic analysis involving 18 older adults with diabetes between the ages of 60 and 88, living in their own homes within an Australian city. Focus groups were recruited on a sequential basis and progressively analysed using an inductive process until data saturation was reached. Focus groups were digitally recorded and transcribed verbatim for thematic analysis.
Results: Three key themes were generated: autonomy, individualised dietary management and the food service system. Older adults speculated that they would want a collaborative approach to maintain their health in ageing and to self-manage their diabetes while feasible. Participants wanted autonomy over food choices, flexible meal timings and quality meals. There was a significant anxiety that aged care staff and existing food service systems in RAC could not support these preferences.
Conclusions: Community-dwelling older adults with diabetes would highly value aged care services that facilitated autonomy, individualised nutrition support and flexibility, but feared this will not be feasible. The introduction of new diabetes and RAC guidelines may require an implementation plan to include the full food service system, from staff education to meal preparation, ordering and service.
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http://dx.doi.org/10.1111/ajag.13078 | DOI Listing |
JMIR Form Res
January 2025
Center for Cancer Health Equity, Rutgers Cancer Institute, New Brunswick, NJ, United States.
Background: Cervical cancer disparities persist among minoritized women due to infrequent screening and poor follow-up. Structural and psychosocial barriers to following up with colposcopy are problematic for minoritized women. Evidence-based interventions using patient navigation and tailored telephone counseling, including the Tailored Communication for Cervical Cancer Risk (TC3), have modestly improved colposcopy attendance.
View Article and Find Full Text PDFJAMA Netw Open
January 2025
Division of Population Sciences, Dana-Farber Cancer Institute, Boston, Massachusetts.
Importance: Adolescent and young adult (AYA) patients with advanced cancer often die in hospital settings. Data characterizing the degree to which this pattern of care is concordant with patient goals are sparse.
Objective: To evaluate the extent of concordance between the preferred and actual location of death among AYA patients with cancer.
JAMA Netw Open
January 2025
Department of Radiology, Keio University School of Medicine, Tokyo, Japan.
Importance: The integration of patient-reported outcome (PRO) assessments in cardiovascular care has encountered considerable obstacles despite their established clinical relevance.
Objective: To assess the impact of a physician- and patient-friendly electronic PRO (ePRO) monitoring system on the quality of cardiovascular care in clinical practice.
Design, Setting, And Participants: This open-label, multicenter, pilot randomized clinical trial was phase 2 of a multiphase study that was conducted from October 2022 to October 2023 and focused on the implementation and evaluation of an ePRO monitoring system in outpatient clinics in Japan.
JAMA Netw Open
January 2025
Division of General Internal Medicine and Primary Care, Brigham and Women's Hospital, Boston, Massachusetts.
Importance: Nearly all Medicare Advantage (MA) plans offer dental, vision, and hearing benefits not covered by traditional Medicare (TM). However, little is known about MA enrollees' use of those benefits or how much they cost MA insurers or enrollees.
Objective: To estimate use, out-of-pocket (OOP) spending, and insurer payments for dental, hearing, and vision services among Medicare beneficiaries.
J Med Syst
January 2025
Department of Computing, University of North Florida, 1 UNF Dr., Jacksonville, 32246, FL, USA.
The "no-show" problem in healthcare refers to the prevalent phenomenon where patients schedule appointments with healthcare providers but fail to attend them without prior cancellation or rescheduling. In addressing this issue, our study delves into a multivariate analysis over a five-year period involving 21,969 patients. Our study introduces a predictive model framework that offers a holistic approach to managing the no-show problem in healthcare, incorporating elements into the objective function that address not only the accurate prediction of no-shows but also the management of service capacity, overbooking, and idle resource allocation resulting from mispredictions.
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