The conceptual backbone of the study is Fitch’s Supportive Care Framework, a model originally developed in oncology and palliative care that organizes patient needs across the trajectory of illness. The framework distinguishes among different types of supportive requirements, including physical, psychological, social, informational, and practical needs, and it emphasizes that these needs evolve as disease and disability progress. By adapting this framework to geriatric chronic disease-related disability, the researchers aimed to ensure that their checklist would not merely catalog medical problems but would capture the full lived experience of older patients whose conditions limit their activities of daily living. This holistic orientation matters because disability in older adults is rarely a single-domain problem; mobility loss, swallowing difficulty, nutritional risk, cognitive decline, and emotional distress frequently co-occur and interact, demanding coordinated rather than siloed management.

The study unfolded in three sequential phases, each with its own methodological rigor. In the first phase, the team conducted a systematic synthesis of the available evidence, searching major databases including China National Knowledge Infrastructure, the Cumulative Index to Nursing and Allied Health Literature, and other international sources. They appraised the methodological quality of the retrieved evidence using established tools and graded it according to the criteria of the Joanna Briggs Institute, a widely respected authority in evidence-based healthcare. From this synthesis, they generated a preliminary draft of the checklist, mapping each candidate item to the underlying evidence and to the domains of Fitch’s framework. This transparent chain linking evidence to items is a technical strength, because it allows future users and reviewers to trace exactly why each checklist element exists and how strongly the supporting evidence supports it.

The second phase employed a two-round Delphi expert consultation, a structured consensus method in which a panel of specialists independently rates proposed items and provides feedback, with results aggregated across rounds until stability is reached. The response to the consultation was strikingly strong. In the first round, the positive response rate among invited experts was 93.33 percent, rising to a perfect 100 percent in the second round. The experts’ authority coefficients, a composite measure reflecting their judgment basis and familiarity with the topic, were 0.82 and 0.86 across the two rounds, values generally considered to indicate high credibility in Delphi research. Kendall’s coefficient of concordance, a statistical measure of agreement among raters, reached statistical significance in both rounds, demonstrating that the experts were not merely responding at random but were converging on a shared judgment about which items belonged in the final instrument.

Through this iterative process, the checklist was refined to its final structure: four domains, thirteen subdomains, and thirty-four items. The domains reflect the architecture of the supportive care framework, spanning physical health management, psychological and emotional support, social participation, and health education and self-management guidance. Within these, the subdomains and items cover concrete clinical content relevant to older disabled adults, including assessment of activities of daily living using instruments such as the Barthel Index, nutritional screening with the Mini Nutritional Assessment Short Form, fall risk evaluation, cognitive screening with the Mini-Mental State Examination, and swallowing assessment through the Repetitive Saliva Swallowing Test. Physical performance is addressed through the Short Physical Performance Battery, and psychological dimensions are captured alongside measures of general self-efficacy. The breadth of this content illustrates how a well-constructed checklist can function as a practical roadmap, prompting clinicians to examine domains that busy routine care often overlooks.

The third phase was a preliminary, single-center feasibility evaluation conducted in May 2025 at the Department of Geriatrics of a tertiary hospital in Fuyang, Anhui Province. Twenty older adults with chronic disease-related disability were recruited through convenience sampling, and trained nurses and health managers applied the checklist in practice. The researchers collected subjective feedback from both patients and healthcare professionals and, in an exploratory analysis, compared patient-reported outcomes before and after implementation. Participants and staff generally reported that the checklist was understandable and potentially feasible, an essential early signal for any new clinical instrument, since even the most theoretically elegant tool fails if frontline users find it confusing or burdensome.

The exploratory outcome data, while limited by the small and uncontrolled design, were notable. The mean score on the General Self-Efficacy Scale, a validated measure of a person’s belief in their capacity to manage challenges, rose from 15.35 plus or minus 3.77 before implementation to 20.60 plus or minus 4.04 afterward, a change that was statistically significant with a Z statistic of negative 3.84 and a P value below 0.001. More dramatically, the total score on the 36-Item Short Form Health Survey, a widely used measure of health-related quality of life, increased from a mean of 295.89 plus or minus 63.14 to 461.98 plus or minus 106.30, a mean gain of 166.09 points with a 95 percent confidence interval of 128.37 to 203.80 and a t statistic of 9.217 with P below 0.001. The authors are careful and correct to frame these figures as exploratory pre-post changes rather than proof of clinical effectiveness, since without a control group, regression to the mean, natural disease fluctuation, and the attention generated by participation itself could all contribute to the observed improvements.

That caution, however, should not obscure the study’s genuine contribution. Health management for disabled older adults is a mounting global challenge as populations age and the prevalence of chronic conditions such as stroke, diabetes, cardiovascular disease, and chronic respiratory illness continues to climb. Disability in this context is not merely a medical diagnosis but a complex state in which functional limitation, comorbidity, social isolation, and psychological distress reinforce one another. Structured checklists have a proven track record in other areas of medicine, most famously in surgical safety, where simple standardized lists dramatically reduced complications. Applying that same logic to geriatric supportive care, with items systematically derived from graded evidence and validated through expert consensus, represents a pragmatic and scalable approach to improving consistency of care without requiring expensive new technology.

The researchers are explicit about the limitations of their work, and these boundaries define the research agenda that follows. Formal psychometric properties, including reliability and validity, were not evaluated, and clinical effectiveness was not established. The feasibility sample was small, drawn from a single center through convenience sampling, and therefore may not represent the broader population of older disabled adults in China or elsewhere. The authors call for multicenter controlled studies with larger and more diverse samples to evaluate the checklist’s reliability, validity, usability, implementation outcomes, and its effects on both patient and caregiver outcomes. Such studies would ideally include randomized designs and longer follow-up to determine whether early gains in self-efficacy and quality of life persist and translate into reduced hospitalizations, slowed functional decline, or eased caregiver burden.

Nevertheless, the study offers a template for how supportive care theory, evidence synthesis, and structured consensus methods can converge on a practical tool for one of medicine’s most underserved populations. As health systems worldwide grapple with the demands of aging societies, instruments like this checklist, which translate abstract frameworks into concrete, actionable items that nurses and health managers can apply at the bedside, may prove to be among the most cost-effective interventions available. The next phase of validation will determine whether the promising early signals from Fuyang hold up at scale, but the foundational work of defining what comprehensive, framework-driven health management should look like for older adults disabled by chronic disease has now been done, and done with methodological transparency that others can build upon.

Subject of Research: Development and feasibility evaluation of a supportive care-based health management checklist for older adults with chronic disease-related disability

Article Title: Development and preliminary feasibility evaluation of a health management checklist for older adults with chronic disease-related disability based on Fitch’s supportive care framework

Article References: Hu, D., Gong, Y., Yang, X., Chen, J., Wang, J., & Duan, Y. (2026). Development and preliminary feasibility evaluation of a health management checklist for older adults with chronic disease-related disability based on Fitch’s supportive care framework. BMC Geriatrics. https://doi.org/10.1186/s12877-026-08318-5

Image Credits: AI Generated

DOI: 10.1186/s12877-026-08318-5

Keywords: geriatrics, chronic disease, disability, health management checklist, Fitch's supportive care framework, Delphi method, older adults, self-efficacy, quality of life, evidence-based practice, nursing, patient care management