Conectar
by Chris Bradley, Kaihua Hou, Patrick Herbert, Mathias Unberath, Greg Hager, Michael V. Boland, Pradeep Ramulu, Jithin Yohannan
Linear regression of optical coherence tomography measurements of peripapillary retinal nerve fiber layer thickness is often used to detect glaucoma progression and forecast future disease course. However, current measurement frequencies suggest that clinicians often apply linear regression to a relatively small number of measurements (e.g., less than a handful). In this study, we estimate the accuracy of linear regression in predicting the next reliable measurement of average retinal nerve fiber layer thickness using Zeiss Cirrus optical coherence tomography measurements of average retinal nerve fiber layer thickness from a sample of 6,471 eyes with glaucoma or glaucoma-suspect status. Linear regression is compared to two null models: no glaucoma worsening, and worsening due to aging. Linear regression on the first M ≥ 2 measurements was significantly worse at predicting a reliable M+1st measurement for 2 ≤ M ≤ 6. This range was reduced to 2 ≤ M ≤ 5 when retinal nerve fiber layer thickness measurements were first “corrected” for scan quality. Simulations based on measurement frequencies in our sample—on average 393 ± 190 days between consecutive measurements—show that linear regression outperforms both null models when M ≥ 5 and the goal is to forecast moderate (75th percentile) worsening, and when M ≥ 3 for rapid (90th percentile) worsening. If linear regression is used to assess disease trajectory with a small number of measurements over short time periods (e.g., 1–2 years), as is often the case in clinical practice, the number of optical coherence tomography examinations needs to be increased.To elicit experiences of patients, family caregivers, and healthcare professionals in intermediate care units (IMCUs) in an academic medical centre in Baltimore, MD related to the challenges and intricacies of multimorbidity management to inform development of a multimorbidity symptom management toolkit.
Experience-based co-design.
Between July and October 2021, patients aged 55 years and older with multimorbidity admitted to IMCUs at an academic medical centre in Baltimore, Maryland, USA were recruited and interviewed in person. Interdisciplinary healthcare professionals working in the IMCU were interviewed virtually. Participants were asked questions about their role in recognizing and treating symptoms, factors affecting the quality of life, symptom burden and trajectory over time, and strategies that have and have not worked for managing symptoms. An inductive thematic analysis approach was used for analysis.
Twenty-three interviews were conducted: 9 patients, 2 family caregivers, and 12 healthcare professionals. Patients' mean age was 67.5 (±6.5) years, over half (n = 5) were Black or Hispanic, and the average number of comorbidities was 3.67. Five major themes that affect symptom management emerged: (1) the patient–provider relationship; (2) open and honest communication; (3) accessibility of resources during hospitalization and at discharge; (4) caregiver support, training, and education; and (5) care coordination and follow-up care.
Patients, caregivers, and healthcare professionals often have similar goals but different priorities for multimorbidity management. It is imperative to identify shared priorities and target holistic interventions that consider patient and caregiver experiences to improve outcomes.
This paper addresses the paucity of research related to the shared experience of disease trajectory and symptom management for people living with multimorbidity. We found that patients, caregivers, and healthcare professionals often have similar goals but different care and communication priorities. Understanding differing priorities will help better design interventions to support symptom management so people with multimorbidity can have the best possible quality of life.
We have adhered to the Consolidated Criteria for Reporting Qualitative Studies (COREQ) guidelines in our reporting.
This study has been designed and implemented with patient and public involvement throughout the process, including community advisory board engagement in the project proposal phase and interview guide development, and member checking in the data collection and analysis phases. The method we chose, experience-based co-design, emphasizes the importance of engaging members of a community to act as experts in their own life challenges. In the coming phases of the study, the public will be involved in developing and testing a new intervention, informed by these qualitative interviews and co-design events, to support symptom management for people with multimorbidity.
Sustainable approaches to support care coordination and symptom management needs of critically ill adults living with multimorbidity are needed to combat the challenges and complexity that multimorbidity presents. The study aims to test the feasibility of the Care cOORDInatioN And sympTom managEment (COORDINATE) intervention to improve health outcomes of adults living with multimorbidity.
A multicomponent nurse-driven intervention was developed using experience-based co-design and human-centred design. Inclusion criteria include (1) age 55 years and older, (2) admitted to an intermediate care unit, (3) presence of two or more chronic health conditions and (4) signed informed consent. Data collection will occur at baseline (time of recruitment predischarge) and 6 weeks and 3 months following hospital discharge. Outcome of interest from this feasibility study is to evaluate the financial, technical and logistic feasibility of a full-scale study including data collection and protocol adherence. Additionally, Cohen’s d effect sizes for the change in outcomes over time will be computed to establish power calculations required for a full-scale study. The protocol was prepared in accordance with Standard Protocol Items: Recommendations for Interventional Trials (SPIRIT) checklist.
The study has been reviewed and approved by the Institutional Review Board of Johns Hopkins Medical Institutions. Given the success of this feasibility study, the potential for the COORDINATE intervention to decrease the symptom burden and improve participant quality of life among critically ill people with multimorbidity will be tested in a full-scale study, and findings will be actively disseminated.
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