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Health Services and Outcomes Research Methodology最新文献

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Modelling the size, cost and health impacts of universal basic income: What can be done in advance of a trial? 全民基本收入的规模、成本和健康影响建模:在试验之前可以做些什么?
IF 1.5 Q3 HEALTH CARE SCIENCES & SERVICES
Health Services and Outcomes Research Methodology
Pub Date : 2021-01-01 Epub Date: 2021-04-11 DOI: 10.1007/s10742-021-00246-8
Matthew Thomas Johnson, Elliott Aidan Johnson, Laura Webber, Rocco Friebel, Howard Robert Reed, Stewart Lansley, John Wildman

Opposition to Universal Basic Income (UBI) is encapsulated by Martinelli's claim that 'an affordable basic income would be inadequate, and an adequate basic income would be unaffordable'. In this article, we present a model of health impact that transforms that assumption. We argue that UBI can affect higher level social determinants of health down to individual determinants of health and on to improvements in public health that lead to a number of economic returns on investment. Given that no trial has been designed and deployed with that impact in mind, we present a methodological framework for assessing prospective costs and returns on investment through modelling to make the case for that trial. We begin by outlining the pathways to health in our model of change in order to present criteria for establishing the size of transfer capable of promoting health. We then consider approaches to calculating cost in a UK context to estimate budgetary burdens that need to be met by the state. Next, we suggest means of modelling the prospective impact of UBI on health before asserting means of costing that impact, using a microsimulation approach. We then outline a set of fiscal options for funding any shortfall in returns. Finally, we suggest that fiscal strategy can be designed specifically with health impact in mind by modelling the impact of reform on health and feeding that data cyclically back into tax transfer module of the microsimulation.

对全民基本收入(UBI)的反对可以用Martinelli的说法来概括:“负担得起的基本收入是不够的，而足够的基本收入是负担不起的。”在本文中，我们提出了一个改变这一假设的健康影响模型。我们认为，全民基本收入可以影响健康的更高层次的社会决定因素，下至健康的个人决定因素，再到公共卫生的改善，从而带来一些投资的经济回报。鉴于没有在设计和部署试验时考虑到这种影响，我们提出了一个方法框架，通过建模来评估该试验的预期成本和投资回报。我们首先概述了在我们的变革模式中通往健康的途径，以便提出确定能够促进健康的转移规模的标准。然后，我们考虑在英国背景下计算成本的方法，以估计需要由国家承担的预算负担。接下来，我们建议在确定这种影响的成本计算方法之前，使用微观模拟方法对全民基本收入对健康的预期影响进行建模。然后，我们概述了一套财政方案，为任何回报不足提供资金。最后，我们建议，通过模拟改革对健康的影响，并将这些数据周期性地反馈到微观模拟的税收转移模块，可以专门设计财政战略，考虑到健康影响。
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引用次数: 6
A Three-Level Mixed Model to Account for the Correlation at both the Between-Day and the Within-Day Level for Ecological Momentary Assessments. 考虑生态瞬时评价日间日内相关性的三水平混合模型。
IF 1.5 Q3 HEALTH CARE SCIENCES & SERVICES
Health Services and Outcomes Research Methodology
Pub Date : 2020-12-01 Epub Date: 2020-09-23 DOI: 10.1007/s10742-020-00220-w
Qianheng Ma, Robin Mermelstein, Donald Hedeker

Ecological Momentary Assessment (EMA) studies aim to explore the interaction between subjects' psychological states and real environmental factors. During the EMA studies, participants can receive prompted assessments intensively across days and within each day, which results in three-level longitudinal data, e.g., subject-level (level-3), day-level nested in subject (level-2) and assessment-level nested in each day (level-1). Those three-level data may exhibit complex longitudinal correlation structure but ignoring or mis-specifying the within-subject correlation structure can lead to bias on the estimation of the key effects and the intraclass correlation. Given the three-level EMA data and the time stamps of the responses, we proposed a linear mixed effects model with random effects at each level. In this model, we accounted for level-2 autocorrelation and level-1 autocorrelation and showed how structural information from the three-level data improved the fit of the model. With real time stamps of the assessments, we also provided a useful extension of this proposed model to deal with the issue of irregular-spacing in EMA assessments.

生态瞬时评价(EMA)研究旨在探讨被试心理状态与真实环境因素之间的相互作用。在EMA研究期间，参与者可以在几天内和每天内接受密集的提示评估，从而产生三级纵向数据，例如，主题级别(3级)，主题中嵌套的日级别(2级)和每天嵌套的评估级别(1级)。这些三级数据可能表现出复杂的纵向相关结构，但忽略或错误地指定主题内相关结构可能导致关键效应估计和类内相关性的偏差。考虑到三个层次的EMA数据和响应的时间戳，我们提出了一个在每个层次上具有随机效应的线性混合效应模型。在这个模型中，我们考虑了二级自相关和一级自相关，并展示了来自三级数据的结构信息如何改善模型的拟合。利用评估的实时时间戳，我们还提供了该模型的有用扩展，以处理EMA评估中的不规则间隔问题。
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引用次数: 1
Chronic Diseases and Multimorbidity in Iran: A Study Protocol for the Use of Iranian Health Insurance Organization’s Claims Database to Understand Epidemiology, Health Service Utilization, and Patient Costs 伊朗的慢性病和多病:利用伊朗健康保险组织的索赔数据库了解流行病学、卫生服务利用和患者费用的研究方案
IF 1.5 Q3 HEALTH CARE SCIENCES & SERVICES
Health Services and Outcomes Research Methodology
Pub Date : 2020-11-28 DOI: 10.1007/s10742-020-00232-6
R. Ebrahimoghli, A. Janati, H. Sadeghi-Bazargani, H. Hamishehkar
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引用次数: 5
How do we define homelessness in large health care data? Identifying variation in composition and comorbidities 我们如何在大量医疗保健数据中定义无家可归?鉴别成分和合并症的变化
IF 1.5 Q3 HEALTH CARE SCIENCES & SERVICES
Health Services and Outcomes Research Methodology
Pub Date : 2020-11-09 DOI: 10.1007/s10742-020-00225-5
W. Bensken
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引用次数: 7
Defining and estimating the reliability of physician quality measures in hierarchical logistic regression models 在层次逻辑回归模型中定义和估计医生质量测量的可靠性
IF 1.5 Q3 HEALTH CARE SCIENCES & SERVICES
Health Services and Outcomes Research Methodology
Pub Date : 2020-11-09 DOI: 10.1007/s10742-020-00226-4
Jessica Hwang, J. Adams, S. Paddock
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引用次数: 3
Comparison of definitions for identifying urgent care centers in health insurance claims 健康保险理赔中确定紧急护理中心定义的比较
IF 1.5 Q3 HEALTH CARE SCIENCES & SERVICES
Health Services and Outcomes Research Methodology
Pub Date : 2020-10-29 DOI: 10.1007/s10742-020-00224-6
Christine Buttorff, S. Heins, Hamad Al-Ibrahim
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引用次数: 1
Novel statistical approaches and applications in leveraging real-world data in regulatory clinical studies 新的统计方法和应用在利用现实世界的数据在临床研究监管
IF 1.5 Q3 HEALTH CARE SCIENCES & SERVICES
Health Services and Outcomes Research Methodology
Pub Date : 2020-09-12 DOI: 10.1007/s10742-020-00218-4
Heng Li, Wei-Chen Chen, Nelson Lu, Chenguang Wang, R. Tiwari, Yunling Xu, L. Yue*
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引用次数: 6
The ADI-3: a revised neighborhood risk index of the social determinants of health over time and place ADI-3:一个修订的社区风险指数，反映了不同时间和地点的健康社会决定因素
IF 1.5 Q3 HEALTH CARE SCIENCES & SERVICES
Health Services and Outcomes Research Methodology
Pub Date : 2020-09-11 DOI: 10.1007/s10742-021-00248-6
K. Berg, J. Dalton, D. Gunzler, C. Coulton, Darcy A. Freedman, Nikolas I. Krieger, N. Dawson, A. Perzynski
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引用次数: 19
Causal mediation analysis decomposition of between-hospital variance 医院间方差的因果中介分析分解
IF 1.5 Q3 HEALTH CARE SCIENCES & SERVICES
Health Services and Outcomes Research Methodology
Pub Date : 2020-08-28 DOI: 10.1007/s10742-021-00256-6
Bo Chen, K. Lawson, A. Finelli, O. Saarela
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引用次数: 1
Estimation of causal effects of multiple treatments in healthcare database studies with rare outcomes 罕见结果的医疗数据库研究中多种治疗的因果效应评估
IF 1.5 Q3 HEALTH CARE SCIENCES & SERVICES
Health Services and Outcomes Research Methodology
Pub Date : 2020-08-18 DOI: 10.1007/s10742-020-00234-4
Liangyuan Hu, Chenyang Gu
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引用次数: 12
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