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本文引用的文献

1
Medicare Program; Hospital Inpatient Prospective Payment Systems for Acute Care Hospitals and the Long-Term Care Hospital Prospective Payment System and Policy Changes and Fiscal Year 2019 Rates; Quality Reporting Requirements for Specific Providers; Medicare and Medicaid Electronic Health Record (EHR) Incentive Programs (Promoting Interoperability Programs) Requirements for Eligible Hospitals, Critical Access Hospitals, and Eligible Professionals; Medicare Cost Reporting Requirements; and Physician Certification and Recertification of Claims. Final rule.医疗保险计划;急性护理医院的住院病人前瞻性支付系统以及长期护理医院前瞻性支付系统和政策变更与2019财年费率;特定提供者的质量报告要求;医疗保险和医疗补助电子健康记录(EHR)激励计划(促进互操作性计划)对合格医院、临界接入医院和合格专业人员的要求;医疗保险成本报告要求;以及医师对索赔的认证和重新认证。最终规则。
Fed Regist. 2018 Aug 17;83(160):41144-784.
2
A visual analytics approach for pattern-recognition in patient-generated data.一种用于识别患者生成数据中模式的可视化分析方法。
J Am Med Inform Assoc. 2018 Oct 1;25(10):1366-1374. doi: 10.1093/jamia/ocy054.
3
Converging and diverging needs between patients and providers who are collecting and using patient-generated health data: an integrative review.患者和收集及使用患者生成健康数据的提供者之间的趋同和发散需求:综合回顾。
J Am Med Inform Assoc. 2018 Jun 1;25(6):759-771. doi: 10.1093/jamia/ocy006.
4
Present and Future Trends in Consumer Health Informatics and Patient-Generated Health Data.消费者健康信息学与患者生成的健康数据的现状与未来趋势
Yearb Med Inform. 2017 Aug;26(1):152-159. doi: 10.15265/IY-2017-016. Epub 2017 Sep 11.
5
Personalized Hypertension Management Using Patient-Generated Health Data Integrated With Electronic Health Records (EMPOWER-H): Six-Month Pre-Post Study.使用整合电子健康记录的患者生成健康数据进行个性化高血压管理(EMPOWER-H):六个月前后研究。
J Med Internet Res. 2017 Sep 19;19(9):e311. doi: 10.2196/jmir.7831.
6
Pilot Study of a Novel Application for Data Visualization in Type 1 Diabetes.1型糖尿病数据可视化新应用的初步研究
J Diabetes Sci Technol. 2017 Jul;11(4):800-807. doi: 10.1177/1932296817691305. Epub 2017 Feb 8.
7
Integrating Patient-Generated Health Data Into Clinical Care Settings or Clinical Decision-Making: Lessons Learned From Project HealthDesign.将患者生成的健康数据整合到临床护理环境或临床决策中:从健康设计项目中汲取的经验教训。
JMIR Hum Factors. 2016 Oct 19;3(2):e26. doi: 10.2196/humanfactors.5919.
8
Consumer Health Informatics: Promoting Patient Self-care Management of Illnesses and Health.消费者健康信息学:促进患者对疾病和健康的自我护理管理。
Health Care Manag (Frederick). 2016 Oct/Dec;35(4):312-320. doi: 10.1097/HCM.0000000000000130.
9
A framework for smartphone-enabled, patient-generated health data analysis.一个用于支持智能手机的患者生成健康数据分析的框架。
PeerJ. 2016 Aug 2;4:e2284. doi: 10.7717/peerj.2284. eCollection 2016.
10
Medicare and Medicaid Programs; Electronic Health Record Incentive Program--Stage 3 and Modifications to Meaningful Use in 2015 Through 2017. Final rules with comment period.医疗保险和医疗补助计划;电子健康记录激励计划——2015年至2017年的第3阶段及对有意义使用的修改。有意见征求期的最终规则。
Fed Regist. 2015 Oct 16;80(200):62761-955.

患者生成健康数据的早期经验:卫生系统和患者视角。

Early experiences with patient generated health data: health system and patient perspectives.

机构信息

Department of Medicine, School of Medicine, University of California San Francisco, San Francisco, California, USA.

Department of Learning Health Sciences, University of Michigan Medical School, Ann Arbor, Michigan, USA.

出版信息

J Am Med Inform Assoc. 2019 Oct 1;26(10):952-959. doi: 10.1093/jamia/ocz045.

DOI:10.1093/jamia/ocz045
PMID:31329886
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7647206/
Abstract

OBJECTIVE

Although patient generated health data (PGHD) has stimulated excitement about its potential to increase patient engagement and to offer clinicians new insights into patient health status, we know little about these efforts at scale and whether they align with patient preferences. This study sought to characterize provider-led PGHD approaches, assess whether they aligned with patient preferences, and identify challenges to scale and impact.

MATERIALS AND METHODS

We interviewed leaders from a geographically diverse set of health systems (n = 6), leaders from large electronic health record vendors (n = 3), and leaders from vendors providing PGHD solutions to health systems (n = 3). Next, we interviewed patients with 1 or more chronic conditions (n = 10), half of whom had PGHD experience. We conducted content analysis to characterize health system PGHD approaches, assess alignment with patient preferences, and identify challenges.

RESULTS

In this study, 3 primary approaches were identified, and each was designed to support collection of a different type of PGHD: 1) health history, 2) validated questionnaires and surveys, and 3) biometric and health activity. Whereas patient preferences aligned with health system approaches, patients raised concerns about data security and the value of reporting. Health systems cited challenges related to lack of reimbursement, data quality, and clinical usefulness of PGHD.

DISCUSSION

Despite a federal policy focus on PGHD, it is not yet being pursued at scale. Whereas many barriers contribute to this narrow pursuit, uncertainty around the value of PGHD, from both patients and providers, is a primary inhibitor.

CONCLUSION

Our results reveal a fairly narrow set of approaches to PGHD currently pursued by health systems at scale.

摘要

目的

尽管患者生成的健康数据(PGHD)激发了人们的兴趣,认为其有潜力增加患者参与度,并为临床医生提供患者健康状况的新见解,但我们对这些大规模的努力知之甚少,也不知道它们是否符合患者的偏好。本研究旨在描述以提供者为主导的 PGHD 方法,评估其是否符合患者的偏好,并确定扩大规模和产生影响的挑战。

材料与方法

我们采访了来自不同地理位置的医疗系统的领导者(n=6)、大型电子健康记录供应商的领导者(n=3)以及向医疗系统提供 PGHD 解决方案的供应商的领导者(n=3)。接下来,我们采访了 10 名患有 1 种或多种慢性病的患者(n=10),其中一半有 PGHD 经验。我们进行了内容分析,以描述医疗系统的 PGHD 方法,评估其与患者偏好的一致性,并确定挑战。

结果

在本研究中,确定了 3 种主要方法,每种方法旨在支持收集不同类型的 PGHD:1)健康史,2)经过验证的问卷和调查,3)生物计量和健康活动。尽管患者的偏好与医疗系统的方法一致,但患者对数据安全和报告的价值表示担忧。医疗系统提到了与缺乏报销、数据质量和 PGHD 的临床实用性相关的挑战。

讨论

尽管联邦政策重点关注 PGHD,但它尚未大规模实施。尽管许多障碍导致了这种狭隘的追求,但患者和提供者对 PGHD 的价值存在不确定性,是主要的抑制因素。

结论

我们的研究结果揭示了医疗系统目前大规模采用的相当有限的 PGHD 方法。