Analyzing Online Reviews to Evaluate Quality of Care at Substance Use Disorder Treatment Facilities
分析在线评论以评估药物使用障碍治疗机构的护理质量
基本信息
- 批准号:10116356
- 负责人:
- 金额:$ 20.29万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2020
- 资助国家:美国
- 起止时间:2020-03-01 至 2023-02-28
- 项目状态:已结题
- 来源:
- 关键词:AdultAffectAmbulatory CareAreaBig DataBig Data MethodsCaringCharacteristicsCodeCommunicationDataData SourcesDevelopmentDiagnosisDrug AddictionEquilibriumEvidence based practiceEvidence based treatmentFamilyFamily memberFutureGoalsGovernmentHealthHealth PersonnelHealth care facilityHealthcareHealthcare SystemsHospitalsIndividualInpatientsInternetKnowledgeLinkLocationMachine LearningManualsMeasuresMethodologyMethodsMisinformationModelingMorbidity - disease rateMorphologic artifactsNational Institute of Drug AbuseNatural Language ProcessingNursing HomesOpioidOutcomeOutcome MeasureOutpatientsPatient CarePatient-Focused OutcomesPatientsPerceptionPerformancePhysical EducationPreventionProcessProcess MeasureProviderQualitative MethodsQuality of CareRecoveryReportingResearchResourcesSignal TransductionSiteSourceStructureSubstance Use DisorderSurveysSymptomsTimeUnited StatesVisitVulnerable PopulationsWorkbasecare deliverycostdata resourcedigitalempoweredevidence baseexperiencehealth related quality of lifeimprovedinsightmedication-assisted treatmentmortalityopioid abuseopioid epidemicopioid mortalityopioid use disorderpatient engagementpaymentpeersatisfactionsubstance abuse treatmentsubstance usetreatment centertreatment programtreatment servicesurgent careweb site
项目摘要
In the United States (US), an estimated 20 million adults have been diagnosed with substance use
disorder (SUD). A major challenge for patients is to identify the most appropriate treatment with the best
outcomes. Patients receive care in outpatient and inpatient facilities yet quality metrics at the level of these
individual facilities are not publicly available.
In the era of digital data, the Internet and peer-to-peer resources are often the first place where
individuals look to find information about healthcare resources. Online reviews on sites like Google and Yelp
provide narratives about healthcare facilities and assign easily interpretable star ratings ranging from one to
five stars. These reviews of healthcare facilities provide information about patient experience, structure (e.g.
physical
education)
facility, organizational characteristics, payment methods), process (e.g. diagnosis, treatment, patient
and outcomes (e.g. knowledge, health-related quality of life morbidity, mortality).
Prior work has demonstrated that online ratings of hospitals correlate with ratings from the national
Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) survey. Little work however
has evaluated the utility of unvalidated, spontaneously generated, but widely accessible online reviews of SUD
treatment facilities. These reviews could fill a niche with providing patients and their family members with
useful information about the questions and experiences that are most important to them. Or these reviews
could be limited and provide misinformation or only biased perspectives. To date, less is known about the
potential value or usefulness of this emerging data source.
For this proposal we aim to study online reviews of SUD treatment facilities in the US to identify the
areas of care that are reported as most important to patients and family members. For Aim 1, we will first
extract approximately 50,000 online reviews of SUD treatment facilities and code them for themes using
qualitative methodologies that involve manual coding and big data analytics using machine learning and
natural language processing. We hypothesize that these online narratives will include qualitative data about
patient experience and the type and quality of care (e.g. evidence-based treatments) provided at SUD
treatment facilities. For Aim 2, we will then assess how star ratings differentiate facilities relative to structure
and process measures reported in the National Survey of Substance Abuse Treatment Services.
Overall, emerging online data resources have the potential to provide new information about a critically
vulnerable population affected by the opioid and more broadly the SUD crisis. Our project seeks to rigorously
study these new patient-centric data sources viewed by millions of individuals for the purposes of better
understanding the needs of patients and family members. These efforts can lay the groundwork for future work
in developing measures of quality for a critically important healthcare resource, SUD treatment facilities.
在美国,估计有2000万成年人被诊断患有药物使用
疾病(SUD)。患者面临的一个主要挑战是确定最合适的治疗方法
结果。患者在门诊和住院机构接受护理,但这些机构的质量指标
个别设施不对外公开。
在数字数据时代,互联网和点对点资源往往是第一个地方,
人们希望找到关于保健资源的信息。Google和Yelp等网站上的在线评论
提供有关医疗保健设施的叙述,并分配易于解释的星星评级,从一到
五星好评这些对医疗机构的审查提供了有关患者体验、结构(例如,
物理
教育)的
设施、组织特征、支付方法)、过程(例如诊断、治疗、患者
和结果(如知识、与健康有关的生活质量、发病率、死亡率)。
先前的工作表明,医院的在线评级与国家评级相关。
医院消费者对医疗保健提供者和系统的评估(HCAHPS)。但工作量不大
评估了未经验证的,自发产生的,但广泛访问的SUD在线评论的效用
治疗设施。这些审查可以填补一个利基,为患者及其家属提供
关于对他们最重要的问题和经验的有用信息。或者这些评论
可能是有限的,并提供错误的信息或只有偏见的观点。到目前为止,人们对
这一新兴数据源的潜在价值或有用性。
对于这项提案,我们的目标是研究美国SUD治疗设施的在线评论,以确定
据报告,对患者和家庭成员最重要的护理领域。对于目标1,我们将首先
提取大约50,000条SUD治疗设施的在线评论,并使用
定性方法,涉及手动编码和使用机器学习的大数据分析,
自然语言处理。我们假设,这些在线叙述将包括定性数据,
SUD提供的患者体验以及护理类型和质量(例如循证治疗)
治疗设施。对于目标2,我们将评估星星评级如何区分设施与结构
和全国药物滥用治疗服务调查中报告的过程措施。
总的来说,新兴的在线数据资源有可能提供关于一个关键问题的新信息。
受阿片类药物影响的弱势群体以及更广泛的SUD危机。我们的项目旨在严格
研究这些新的以患者为中心的数据源,这些数据源被数百万人查看,
了解患者和家属的需求。这些努力可以为今后的工作奠定基础
在制定质量措施的一个至关重要的医疗资源,SUD治疗设施。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
数据更新时间:{{ journalArticles.updateTime }}
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
Raina Merchant其他文献
Raina Merchant的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('Raina Merchant', 18)}}的其他基金
Mentoring and Patient Oriented Research in Cardiovascular Health and Digital Data Science
心血管健康和数字数据科学领域的指导和以患者为导向的研究
- 批准号:
10188779 - 财政年份:2021
- 资助金额:
$ 20.29万 - 项目类别:
Assessing the effectiveness of a digital platform to support the mental health of healthcare workers in the response and recovery phases of COVID-19
评估数字平台在 COVID-19 的应对和恢复阶段支持医护人员心理健康的有效性
- 批准号:
10659146 - 财政年份:2021
- 资助金额:
$ 20.29万 - 项目类别:
Assessing the effectiveness of a digital platform to support the mental health of healthcare workers in the response and recovery phases of COVID-19
评估数字平台在 COVID-19 的应对和恢复阶段支持医护人员心理健康的有效性
- 批准号:
10451636 - 财政年份:2021
- 资助金额:
$ 20.29万 - 项目类别:
Assessing the effectiveness of a digital platform to support the mental health of healthcare workers in the response and recovery phases of COVID-19
评估数字平台在 COVID-19 的应对和恢复阶段支持医护人员心理健康的有效性
- 批准号:
10309487 - 财政年份:2021
- 资助金额:
$ 20.29万 - 项目类别:
Mentoring and Patient Oriented Research in Cardiovascular Health and Digital Data Science
心血管健康和数字数据科学领域的指导和以患者为导向的研究
- 批准号:
10678632 - 财政年份:2021
- 资助金额:
$ 20.29万 - 项目类别:
Mentoring and Patient Oriented Research in Cardiovascular Health and Digital Data Science
心血管健康和数字数据科学领域的指导和以患者为导向的研究
- 批准号:
10433940 - 财政年份:2021
- 资助金额:
$ 20.29万 - 项目类别:
相似海外基金
How Does Particle Material Properties Insoluble and Partially Soluble Affect Sensory Perception Of Fat based Products
不溶性和部分可溶的颗粒材料特性如何影响脂肪基产品的感官知觉
- 批准号:
BB/Z514391/1 - 财政年份:2024
- 资助金额:
$ 20.29万 - 项目类别:
Training Grant
BRC-BIO: Establishing Astrangia poculata as a study system to understand how multi-partner symbiotic interactions affect pathogen response in cnidarians
BRC-BIO:建立 Astrangia poculata 作为研究系统,以了解多伙伴共生相互作用如何影响刺胞动物的病原体反应
- 批准号:
2312555 - 财政年份:2024
- 资助金额:
$ 20.29万 - 项目类别:
Standard Grant
RII Track-4:NSF: From the Ground Up to the Air Above Coastal Dunes: How Groundwater and Evaporation Affect the Mechanism of Wind Erosion
RII Track-4:NSF:从地面到沿海沙丘上方的空气:地下水和蒸发如何影响风蚀机制
- 批准号:
2327346 - 财政年份:2024
- 资助金额:
$ 20.29万 - 项目类别:
Standard Grant
Graduating in Austerity: Do Welfare Cuts Affect the Career Path of University Students?
紧缩毕业:福利削减会影响大学生的职业道路吗?
- 批准号:
ES/Z502595/1 - 财政年份:2024
- 资助金额:
$ 20.29万 - 项目类别:
Fellowship
感性個人差指標 Affect-X の構築とビスポークAIサービスの基盤確立
建立个人敏感度指数 Affect-X 并为定制人工智能服务奠定基础
- 批准号:
23K24936 - 财政年份:2024
- 资助金额:
$ 20.29万 - 项目类别:
Grant-in-Aid for Scientific Research (B)
Insecure lives and the policy disconnect: How multiple insecurities affect Levelling Up and what joined-up policy can do to help
不安全的生活和政策脱节:多种不安全因素如何影响升级以及联合政策可以提供哪些帮助
- 批准号:
ES/Z000149/1 - 财政年份:2024
- 资助金额:
$ 20.29万 - 项目类别:
Research Grant
How does metal binding affect the function of proteins targeted by a devastating pathogen of cereal crops?
金属结合如何影响谷类作物毁灭性病原体靶向的蛋白质的功能?
- 批准号:
2901648 - 财政年份:2024
- 资助金额:
$ 20.29万 - 项目类别:
Studentship
Investigating how double-negative T cells affect anti-leukemic and GvHD-inducing activities of conventional T cells
研究双阴性 T 细胞如何影响传统 T 细胞的抗白血病和 GvHD 诱导活性
- 批准号:
488039 - 财政年份:2023
- 资助金额:
$ 20.29万 - 项目类别:
Operating Grants
New Tendencies of French Film Theory: Representation, Body, Affect
法国电影理论新动向:再现、身体、情感
- 批准号:
23K00129 - 财政年份:2023
- 资助金额:
$ 20.29万 - 项目类别:
Grant-in-Aid for Scientific Research (C)
The Protruding Void: Mystical Affect in Samuel Beckett's Prose
突出的虚空:塞缪尔·贝克特散文中的神秘影响
- 批准号:
2883985 - 财政年份:2023
- 资助金额:
$ 20.29万 - 项目类别:
Studentship