Older adults rarely experience health problems in isolation. Anemia, malnutrition, declining muscle function, cognitive impairment, and cardiometabolic abnormalities such as high blood pressure and elevated blood sugar tend to arrive together, yet in routine primary care they are often assessed one at a time, in separate appointments, using separate instruments. A team of Peruvian researchers has now proposed a way to bring those fragmented checks into a single, structured workflow. Writing in Frontiers in Public Health, the authors describe a conceptual framework for integrated multidomain screening of geriatric vulnerability in community-dwelling older adults, designed for primary care and community settings where time, staff, and diagnostic infrastructure are limited.
The proposal, published on 23 October 2026, is explicitly a perspective article and a methodological framework rather than an empirical study. The authors, affiliated with Universidad Le Cordon Bleu in Lima and the Universidad Nacional del Santa in Chimbote, report that no participants were recruited, no biological samples were collected, and no clinical cohort was analyzed. Because no empirical data were gathered, the framework’s scores, operational categories, and phenotype ranges are described as conceptual conventions rather than statistically derived parameters. The team states that the framework does not diagnose anemia, sarcopenia, dementia, diabetes, hypertension, malnutrition, or frailty, and that it provides no prognostic estimates. Its purpose is to organize brief screening findings into a sequential pathway that may help primary care teams identify which older adults could benefit from confirmatory testing, closer follow-up, or comprehensive geriatric evaluation.
The framework unfolds in five sequential steps. The first step involves point-of-care assessment of capillary hemoglobin, capillary blood glucose, and blood pressure. The second adds nutritional and anthropometric screening, including waist circumference, calf circumference, and a calf circumference-based version of the Mini Nutritional Assessment–Short Form, which the authors note is particularly useful when body weight and height cannot be reliably obtained. The third step applies the SARC-F questionnaire, a brief instrument covering strength, assistance with walking, rising from a chair, climbing stairs, and falls during the previous year. The fourth step introduces cognitive screening with the Rowland Universal Dementia Assessment Scale, or its Peruvian adaptation, when clinically indicated, for example when functional deterioration, advanced age, low educational attainment, illiteracy, or neurological concern is present. The fifth step integrates all available findings into either a complete multidomain screening profile or a provisional profile when a required domain has not been assessed.
Several technical details shape how the framework is meant to be used. Capillary hemoglobin values can be affected by hydration status, peripheral perfusion, systemic inflammation, and sampling technique, so the framework does not define a universal threshold; instead, screening thresholds should be prespecified according to sex and adjusted for altitude where applicable, and any abnormal result should prompt confirmatory clinical evaluation and laboratory testing. For capillary glucose, personnel should record whether the participant has fasted for at least eight hours, and fasting and non-fasting measurements should be interpreted through separate prespecified screening pathways. Waist circumference is interpreted using cut-offs of at least 94 centimeters in men and at least 88 centimeters in women, and blood pressure is considered elevated at values of at least 140/90 mmHg or in participants already receiving antihypertensive treatment. A SARC-F score of four or higher indicates a positive screening result, and a cognitive score below 23 is considered suggestive of possible cognitive impairment requiring confirmatory assessment.
The framework’s most distinctive structural feature is its factorial organization. From the predefined categories of the five screening domains, the authors generated 96 theoretical combinations: two hematologic screening categories, two sarcopenia screening categories, two cognitive categories, four cardiometabolic screening categories, and three nutritional categories. The matrix was generated using IBM SPSS Statistics version 32 and computationally verified to confirm that no theoretical combinations were duplicated or omitted. For interpretability, the combinations were grouped into eight conceptual phenotypes defined by haematologic screening status, sarcopenia screening status, and cognitive screening status, while nutritional status and cardiometabolic screening were retained as operational modifiers within each phenotype. The phenotypes range from a preserved profile, with no alerts in any of the three principal domains, through single-domain alerts such as cognitive, muscle, and haematologic alerts, to a multidomain alert phenotype in which screening findings are present across all three principal domains.
The numerical weights attached to individual screening results are illustrative organizational conventions rather than calibrated measures. Operational weights of zero, one, and three were assigned to the nutritional categories of normal status, at risk of malnutrition, and malnutrition respectively, and one operational point was assigned to each altered cardiometabolic parameter, producing a total score from zero to three. The authors are emphatic that these values do not represent calibrated measures of disease severity, prognosis, urgency of referral, or treatment priority, and that they have not been derived from outcome modeling, formal expert consensus, or validation against reference standards. Similarly, the terms low, moderate, and high applied to the cardiometabolic score refer only to operational categories within the framework and do not estimate the absolute or relative risk of future clinical events. The authors also stress that a positive SARC-F result alone should not be interpreted as a diagnosis of probable or confirmed sarcopenia, and that the framework does not determine the cause, severity, or prognosis of any cognitive finding.
Transparency about missing information is built into the design. Because cognitive screening is not applied universally, individuals without a cognitive assessment are classified as having a provisional multidomain screening profile with cognitive assessment pending, rather than being assigned to one of the eight complete phenotypes. The reason for unavailable cognitive screening should be recorded, and missing information is documented explicitly and is not interpreted as a normal result. The authors describe this distinction between complete and provisional profiles as an explicit safeguard intended to prevent unassessed domains, particularly cognition, from being mistaken for normal findings.
The framework is positioned deliberately in relation to existing approaches. The authors state that it does not address an absolute absence of multidomain assessment tools. The World Health Organization Integrated Care for Older People framework provides person-centered guidance for identifying declines in intrinsic capacity, comprehensive geriatric assessment offers a broader multidimensional evaluation of medical, functional, cognitive, nutritional, psychological, and social needs, and frailty measures including the Fried phenotype, frailty indices, the Clinical Frailty Scale, and the Edmonton Frail Scale use different conceptual and operational approaches. The Multidimensional Prognostic Index, derived from comprehensive geriatric assessment, has been evaluated against mortality outcomes. The new proposal is described as positioned upstream of comprehensive geriatric assessment and as complementary to ICOPE and frailty assessment, with its specific contribution lying in the combination of point-of-care haematologic and cardiometabolic screening with brief nutritional, functional, and cognitive assessments in a single initial workflow.
The motivation is grounded in the epidemiology of aging. The authors note that in 2021 anemia affected an estimated 24.1 percent of the global population, corresponding to approximately 1.92 billion cases, and was associated with 52 million disability-adjusted life years, with dietary iron deficiency the leading cause. Community-based prevalence estimates among people aged 65 years or older were 11.0 percent among men and 10.2 percent among women. In Peru, national estimates have suggested a prevalence of approximately 23.3 percent among older adults, with higher levels reported in regions such as Ayacucho and Ancash, and anemia has been reported in 26.7 percent of non-institutionalized older adults in metropolitan Lima. In northern Peru, metabolic syndrome has been reported in 55 percent of adults and 73 percent of older adults, highlighting the coexistence of metabolic and nutritional challenges in the population the framework is intended to serve.
The authors are candid about the limitations. The component selection was based on a non-systematic narrative appraisal of guidelines, consensus documents, validation studies, and reviews rather than a formal systematic review or structured Delphi consensus, a process that may have introduced selection bias. The framework has not undergone content validation, feasibility testing, acceptability assessment, inter-rater reliability analysis, diagnostic-accuracy evaluation, calibration assessment, external validation, or implementation evaluation, and it has not been assessed for cost, equity, health-system impact, or patient outcomes. The proposed phenotypes, scores, and operational categories should therefore be interpreted as preliminary conceptual conventions that do not constitute diagnostic criteria, prognostic estimates, referral mandates, or therapeutic recommendations. Future development is laid out in stages: a structured expert-consensus process such as a Delphi study to assess the relevance, clarity, completeness, feasibility, and acceptability of the selected domains and thresholds; pilot studies evaluating completion time, training requirements, acceptability, and inter-rater reliability; prospective studies comparing the framework with appropriate reference standards; and finally implementation studies examining effects on service use, referral patterns, equity, patient-centered outcomes, and costs before the framework is considered for routine application.
Subject of Research: A conceptual framework for integrated multidomain screening of geriatric vulnerability in primary care
Article Title: Integrated multidomain screening for geriatric vulnerability in primary care: a conceptual framework for community-dwelling older adults
Article References: Arellano-Salazar, M. P., Abad-Fernandez, G. A., Quiroz Cornejo, K. V., Quispe-Villanueva, M. S., & Samillan, V. J. (2026). Integrated multidomain screening for geriatric vulnerability in primary care: a conceptual framework for community-dwelling older adults. Frontiers in Public Health, 14, Article 1968310. https://doi.org/10.3389/fpubh.2026.1968310
Image Credits: AI Generated
DOI: 10.3389/fpubh.2026.1968310
Keywords: geriatric vulnerability, primary care, multidomain screening, anemia, malnutrition, sarcopenia, cognitive screening, cardiometabolic health, older adults, comprehensive geriatric assessment, point-of-care testing, Peru
News Source: Beatrice Stafford. (October 29, 2026). New Screening Framework Aims to Untangle Overlapping Health Risks in Older Adults. Scienmag.
