Key Recommendations from the 2021 “Inclusion of Older Adults in Clinical Research” Workshop

A Pragmatic Approach to Introducing Translational Geroscience Into the Clinic: A Paradigm Based on the Incremental Progression of Aging-Related Clinical Research

Geroscience posits that molecular drivers underlie the aging process. Gerotherapeutics entail strategies to counter molecular drivers of aging to reduce the chronic diseases and geriatric syndromes they trigger. Although the concept of gerotherapeutics for prevention has generated much excitement, the implications of prescribing potentially harmful medications to older adults who are "healthy" have been associated with many delays. Concerns regarding safety and valid endpoints have contributed to holdups. In contrast, it has been relatively easier to implement trials of medications with gerotherapeutic properties as novel approaches to remedy disease. In these applications, the risks of the medications are easier to justify when therapeutic benefits are perceived as outweighing the harms of the disease. Likewise, metrics of effective disease treatments are often seen as more reliable and quantifiable than metrics of health prolongation. Overall, clarifying geroscience mechanisms in disease therapeutic applications provides key opportunities to advance translational geroscience, especially as preventive geroscience trials are often encumbered. In this review, gerotherapeutic benefits of canakinumab, cholchicine, and zoledronic acid as parts of disease management are considered. Longevity Clinics and other opportunities to advance translational geroscience as parts of contemporary care are also discussed.

Remote dried blood spot collection for inflammatory markers in older adults is feasible, reliable, and valid

Dried blood spots (DBS) provide a minimally invasive method to assess inflammatory markers and can be collected remotely at-home or in-person in the lab. However, there is a lack of methodological information comparing these different collection methods and in older adults. We investigated the feasibility (including adherence, yield, quality, and participant preferences) and measurement properties (reliability, validity) of remotely collected DBS inflammatory markers in older adults. Participants (N = 167, mean age = 72, range: 60-96 years) collected their own DBS (finger prick on filter paper) during three remote interviews over ∼ 6 months. Within 4-5 days on average of their last remote interview, a subset of 41 participants also attended an in-person lab visit that included a researcher-collected DBS sample, venous blood draw, and survey to assess participant preferences of DBS collection. DBS and venous blood were assayed for CRP, IL-6, and TNF-α. Adherence: 98% of expected DBS samples (493 out of 501) were completed and mailed back to the lab. Yield: 97% of DBS samples were sufficient for all assays. Quality: On average, 0.80 fewer optimal spots (60uL of blood that filled the entire circle) were obtained remotely vs. in-person (p = 0.013), but the number of useable or better spots (at least 30-40uL of blood) did not differ (p = 0.89). Preference: A slight majority of participants (54%) preferred in-person DBS collection. Reliability: DBS test-retest reliabilities were good: CRP (ICC = 0.74), IL-6 (ICC = 0.76), and TNF-α (ICC = 0.70). Validity: Inflammatory levels from DBS correlated strongly with levels from venous blood (r = 0.60-0.99) and correlated as expected with sociodemographic and physical health and function variables. Older adults can remotely collect their own DBS to acquire reliable and valid inflammatory data. Remote DBS collection is highly feasible and may allow for inflammatory markers to be assessed in larger, more representative samples than are possible with lab- or clinic-based research designs.

Around the EQUATOR with Clin-STAR: Prediction modeling opportunities and challenges in aging research

The 2015 Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD) Statement was published to improve reporting transparency for prediction modeling studies. The objective of this review is to highlight methodologic challenges that aging-focused researchers will encounter when designing and reporting studies involving prediction models for older adults and provide guidance for addressing these challenges. In following the 22-item TRIPOD checklist, researchers must consider the representativeness of cohorts used (e.g., whether older adults with frailty, cognitive impairment, and social isolation were included), strategies for incorporating common geriatric predictors (e.g., age, comorbidities, functional status, and frailty), methods for handling missing data and competing risk of death, and assessment of model performance heterogeneity across important subgroups (e.g., age, sex, race, and ethnicity). We provide guidance to help aging-focused researchers develop, validate, and report models that can inform and improve patient care, which we label "TRIPOD-65."

Older adult's experiences of navigating healthcare whilst living with multimorbidity

OBJECTIVE

The way older adults navigate their healthcare is critical to supporting positive health outcomes. However, navigating healthcare with multimorbidity is typically disjointed due to complexities in treatment, management, and service provision. This study sought to examine how older patients navigate healthcare whilst living with multimorbidity.

METHODS AND MEASURES

Semi-structured interviews were undertaken with five older adults, aged 65 or older, living with multimorbidity in residential care in England. An Interpretive Phenomenological Analysis was undertaken.

RESULTS

Overall, participants experienced navigating healthcare whilst living with multimorbidity as challenging. Group Experiential Themes included 'Health knowledge and understanding', 'Relationships and expectations' and 'Navigating health care with a single lens'. Collectively these themes represented narratives involving how having limited understanding of health conditions, experiencing challenges in communication with health professionals, and receiving segmented care in a health care system driven by a single condition focus interfered with navigation.

CONCLUSION

These findings highlight experiences of older adults living with multimorbidity navigating healthcare and illustrate several ways older adults living with multimorbidity may be supported to navigate services with less challenges. The research also promotes the need for future research in this area.

Clinical Trials for Special Populations: Children, Older Adults, and Rare Diseases

Research cannot maximize population health unless it improves health for all members of the public, including special populations such as children, older adults, and people living with rare diseases. Each of these categories require special considerations when planning and performing clinical trials, and common threads of ethical conduct of research in vulnerable populations appear throughout. In this review, definitions of each of the three categories of special population (children, older adults, and rare diseases) are discussed in terms of US research regulations, the unique challenges to conducting clinical trials for these special populations, critical ethical issues, and opportunities for innovative ways to design and operationalize clinical trials in special populations. Additional critical attention is focused on factors that influence the generalizability of study results to reduce health disparities, as well as the importance of community engagement and advocacy groups that can help to educate potential trial participants of the benefits of clinical trial participation.

How quality of life is measured in studies of nutritional intervention: a systematic review

BACKGROUND

Nutrition care can positively affect multiple aspects of patient's health; outcomes are commonly evaluated on the basis of their impact on a patient's (i) illness-specific conditions and (ii) health-related quality of life (HRQoL). Our systematic review examined how HRQoL was measured in studies of nutritional interventions. To help future researchers select appropriate Quality of Life Questionnaires (QoLQ), we identified commonly-used instruments and their uses across populations in different regions, of different ages, and with different diseases.

METHODS

We searched EMCare, EMBASE, and Medline databases for studies that had HRQoL and nutrition intervention terms in the title, the abstract, or the MeSH term classifications "quality of life" and any of "nutrition therapy", "diet therapy", or "dietary supplements" and identified 1,113 studies for possible inclusion.We then reviewed titles, abstracts, and full texts to identify studies for final inclusion.

RESULTS

Our review of titles, abstracts, and full texts resulted in the inclusion of 116 relevant studies in our final analysis. Our review identified 14 general and 25 disease-specific QoLQ. The most-used general QoLQ were the Short-Form 36-Item Health Survey (SF-36) in 27 studies and EuroQol 5-Dimension, (EQ-5D) in 26 studies. The European Organization for Research and Treatment of Cancer Quality of life Questionnaire (EORTC-QLQ), a cancer-specific QoLQ, was the most frequently used disease-specific QoLQ (28 studies). Disease-specific QoLQ were also identified for nutrition-related diseases such as diabetes, obesity, and dysphagia. Sixteen studies used multiple QoLQ, of which eight studies included both general and disease-specific measures of HRQoL. The most studied diseases were cancer (36 studies) and malnutrition (24 studies). There were few studies focused on specific age-group populations, with only 38 studies (33%) focused on adults 65 years and older and only 4 studies focused on pediatric patients. Regional variation in QoLQ use was observed, with EQ-5D used more frequently in Europe and SF-36 more commonly used in North America.

CONCLUSIONS

Use of QoLQ to measure HRQoL is well established in the literature; both general and disease-specific instruments are now available for use. We advise further studies to examine potential benefits of using both general and disease-specific QoLQ to better understand the impact of nutritional interventions on HRQoL.

Older Adults as Key Assets in a Community-Based Participatory Needs Assessment: How Partnering With Older Residents Improves Local Aging Policy and Practice

Older adults are often overlooked in decision making processes despite the detrimental effects on their well-being. The representation of older adults in investigations and initiatives is needed so that the issues they face, today and in the future, can be resolved through partnership and their active involvement. The aim of this article is to describe a participatory process for conducting a needs assessment (NA) and the contributions and opportunities of partnering with older adults to shape community services and support for older adults. Data were collected from 1,863 participants in a midwestern county via focus groups, interviews, and surveys. We describe how participatory principles were enacted, the involvement of older adults influenced the design and contributed to making sure hard-to-reach residents' voices were included. Finally, we discuss the ways in which a community inclusive multi-method strategy can optimize resource allocation, identify pathways to more effective policymaking that is matched to the needs and interests of its oldest residents, and lead to unanticipated benefits. Single method, non-inclusive approaches can obscure the critical context and exclude perspectives of the most burdened and vulnerable, who are most in need of support from their community.

User Perspectives of Geriatric German Patients on Smart Sensor Technology in Healthcare

With consideration of the progressing aging of our societies, the introduction of smart sensor technology can contribute to the improvement of healthcare for older patients and to reductions of the costs of care. From the clinical and medico-ethical points of view, the advantages of smart sensor technology are copious. However, any ethical evaluation of an introduction of a new technology in medical practice requires an inclusion of patients' perspectives and their assessments. We have conducted qualitative, semi-structured, exploratory interviews with 11 older patients in order to gain their subjective opinions on the use of smart sensor devices for rehabilitation purposes. The interviews were analyzed using methods of qualitative content and thematic analyses. In our analysis, we have focused on ethical aspects of adoption of this technology in clinical practice. Most of the interviewees expressed their trust in this technology, foremost because of its accuracy. Several respondents stated apprehension that the use of smart sensors will lead to a change in the patient-healthcare professional relationship. Regarding costs of introduction of smart sensors into healthcare, interviewees were divided between health insurance bearing the costs and individual participation in corresponding costs. Most interviewees had no concerns about the protection of their privacy or personal information. Considering these results, improvement of users' technology literacy regarding possible threats connected with putting smart sensors into clinical practice is a precondition to any individual application of smart sensors. This should occur in the form of extended and well-designed patient information adapted to individual levels of understanding. Moreover, application of smart sensors needs to be accompanied with careful anamnesis of patient's needs, life goals, capabilities, and concerns.

Research Inclusion Across the Lifespan: A Good Start, but There Is More Work to Be Done

While older adults account for a disproportionate amount of healthcare spending, they are often underrepresented in clinical research needed to guide clinical care. The purpose of this perspective is to make readers aware of new data on age at enrollment for participants included in National Institutes of Health (NIH)-funded clinical research. We highlight key findings of relevance to general internal medicine and suggest ways readers could support the inclusion of older adults in clinical research. Data from the NIH Research Inclusion Statistics Report show that there were 881,385 participants enrolled in all NIH-funded clinical research in 2021, of whom 170,110 (19%) were 65 years and older. However, on average, studies included a far lower percentage of older adults. Additionally, there were many conditions for which overall enrollment rates for older adults were lower than would be expected. For example, while 10% of participants in studies related to diabetes were ≥ 65 years old, older individuals represent 43% of all prevalent diabetes in the USA. Researchers should work with clinicians to advocate for older adults and ensure their participation in clinical research. Best practices and resources for overcoming common barriers to the inclusion of older adults in research could also be disseminated.

“I Could Have Stood a Little More Education Rather than Just: ‘Hey, you’re Diabetic Man, Make the Best out of It’”: Revisioning Diabetes Self-Management Education for Older Adults

Objectives: Providing diabetes self-management education (DSME) in an evidence-based format that is accessible and tailored to the population needs is crucial for individuals living with diabetes mellitus. Our qualitative study explores the experiences of older adults living with diabetes while residing in a rural setting. Methods: Adults aged 65 or older and residing in a rural area of Ontario completed a photovoice activity and semi-structured interviews to illustrate their experience of living with diabetes and accessing DSME. Results: Fourteen participants (11 males; mean age = 74 years) completed the photovoice activity and interview. Four main themes were identified pertaining to learning about diabetes education, the depth and breadth of learning, applying knowledge to daily life, and engaging older adults in DSME. Discussion: Diabetes self-management education should account for older adults’ preferences in learning about diabetes and self-management to promote access to evidence-based information, bolster knowledge and self-management efficacy, and improve disease control.

Integrating special and underserved populations in translational research: Environmental scan of adaptive capacity and preparedness of Clinical and Translational Science Award (CTSA) program hubs

The COVID-19 pandemic has exacerbated health disparities and rendered them acutely more visible. Special and underrepresented populations need to be fully integrated into the translational research process from the very beginning and all the way through. This article presents findings and rapid analysis mini-case studies from the Environmental Scan (E-Scan) of adaptive capacity and preparedness of Clinical and Translational Science Award hubs, specific to the goal of integrating special and vulnerable populations in different institutional research settings. In our discussion of the findings and case studies, we flexibly apply local adaptive capacity framework concepts and characteristics, and, whenever possible, we present ideas on how to enhance capacity in those areas, based on the challenges and practices identified through the E-Scan. Although the past year has recorded incredible achievements in vaccine development, clinical trials, diagnostics, and overall biomedical research, these successes continue to be hampered by our inability to turn them into achievements equally available and accessible to all populations.