Department of Psychiatry, Leonard Davis Institute of Health Economics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Division of Urology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Neurourol Urodyn. 2021 Mar;40(3):791-801. doi: 10.1002/nau.24618. Epub 2021 Feb 10.
To describe the development and feasibility of a preference elicitation instrument, OABCare, using choice-based adaptive conjoint analysis (ACA) among patients with overactive bladder (OAB).
This was a two-phase study. In Phase 1, an extensive literature review along with patient and provider focus groups yielded the attributes and levels for our OABCare instrument. The hierarchical Bayesian random-effects model generated utilities and mean relative importance scores of treatment attributes. Phase 2 consisted of a cohort study to assess the association between OAB treatment uptake and treatment attributes elicited from OABCare, using generalized linear models.
Literature review and provider and patient focus groups in Phase 1 yielded themes related to OAB management that were used to develop 11 attributes for the ACA instrument. For Phase 2 of the study, 108 patients were recruited who completed the OABCare instrument. Results showed that the top five attributes with the highest mean utility values were caregiver burden, impaired bladder function, social interaction constraints, treatment side effects, and use of pads. In addition, impaired bladder function (odds ratio [OR] = 1.25, 95% confidence interval [CI] = 1.1, 2.1), disturbed sleep (OR = 1.24, 95% CI = 1.04, 1.47), social interaction constraints (OR = 1.12, 95% CI = 1.05, 1.32), and out-of-pocket costs (OR = 0.79, 95 % CI = 0.61, 0.94) were associated with OAB treatment uptake.
Our ACA-based instrument, OABCare, is a feasible and acceptable tool for assessing preferences in OAB patients. Preference assessment can facilitate shared decision-making and may enhance the quality of OAB care. Future work will evaluate the OABCare instrument in different subgroups based on sociodemographic, clinical, and treatment characteristics, and its integration into clinical care settings.
描述一种使用基于选择的适应性联合分析(ACA)在膀胱过度活动症(OAB)患者中开发和评估偏好评估工具 OABCare 的方法。
这是一项两阶段研究。在第一阶段,通过广泛的文献回顾以及患者和提供者焦点小组,为我们的 OABCare 工具生成了属性和水平。分层贝叶斯随机效应模型生成了治疗属性的效用和平均相对重要性评分。第二阶段包括一项队列研究,使用广义线性模型评估 OAB 治疗采用与从 OABCare 中得出的治疗属性之间的关联。
第一阶段的文献回顾以及提供者和患者焦点小组产生了与 OAB 管理相关的主题,这些主题被用于开发 ACA 工具的 11 个属性。在研究的第二阶段,招募了 108 名完成 OABCare 工具的患者。结果表明,平均效用值最高的前五个属性是照顾者负担、膀胱功能受损、社会互动受限、治疗副作用和使用护垫。此外,膀胱功能受损(比值比 [OR] = 1.25,95%置信区间 [CI] = 1.1,2.1)、睡眠障碍(OR = 1.24,95% CI = 1.04,1.47)、社会互动受限(OR = 1.12,95% CI = 1.05,1.32)和自付费用(OR = 0.79,95% CI = 0.61,0.94)与 OAB 治疗采用相关。
我们基于 ACA 的工具 OABCare 是一种评估 OAB 患者偏好的可行且可接受的工具。偏好评估可以促进共同决策,并可能提高 OAB 护理的质量。未来的工作将根据社会人口统计学、临床和治疗特征,在不同亚组中评估 OABCare 工具,并将其整合到临床护理环境中。