Existing frailty and social and behavioral determinants of health (SBDH) algorithms were refined and used to examine SBDH and frailty groups, revealing patterns in interventions and outcomes of older adults in a large community-based care data-set. The dataset was randomly split into training (n = 2,881) and testing (n = 1,441) sets. The training set was used to visually identify patterns in associations among SBDH, frailty, intervention doses, and outcomes, and the testing set was used to validate the patterns. Seven valid patterns were identified, showing increases in SBDH and frailty were associated with poorer health outcomes and more interventions (all p < 0.01). Findings suggest that the refined SBDH and frailty algorithms facilitate the identification of older adults with SBDH and frailty for intervention tailoring. [Journal of Gerontological Nursing, 48(4), 41–48.]

现有的脆弱性和健康的社会和行为决定因素 (SBDH) 算法被改进并用于检查 SBDH 和脆弱群体，揭示了大型社区护理数据集中老年人的干预模式和结果。数据集被随机分成训练集（n = 2,881）和测试集（n = 1,441）。训练集用于直观地识别 SBDH、虚弱、干预剂量和结果之间的关联模式，测试集用于验证模式。确定了七种有效模式，表明 SBDH 和虚弱的增加与较差的健康结果和更多的干预措施有关（所有p< 0.01)。研究结果表明，改进的 SBDH 和虚弱算法有助于识别患有 SBDH 和虚弱的老年人以进行干预调整。[老年护理杂志，48（4），41-48。]