Recommendations for the Quality Management of Patient-Generated Health Data in Remote Patient Monitoring: Mixed Methods Study (Preprint)

Abdolkhani, Robab; Gray, Kathleen; Borda, Ann; DeSouza, Ruth

doi:10.2196/preprints.35917

Cited by 3 publications

(2 citation statements)

References 72 publications

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“…Recording Patient Reported Outcomes (PRO) or health history using questionnaires in health diary apps may involve individual subjectivity and memory-related issues [8]. Various device and connectivity-related technical problems and users' inadequacy in device wearing and setup are associated with the quality issues of biometric data passively collected through commercial wearable devices [9,10].…”

Section: Introductionmentioning

confidence: 99%

Quality of Person-Generated Healthy Walking Data: An Explorative Analysis

Kim,

Im,

Ahn

2024

Studies in Health Technology and Informatics

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Despite the potential benefits of Person Generated Health Data (PGHD), data quality issues impede its use. This study examined the effect of different methods for filtering armband data on determining the amount of healthy walking and the consistency between healthy walking captured using armbands and health diaries. Four weeks of armband and health diary data were acquired from 103 college students. Armband data filtering was performed using heart rate measures and minimum daily step counts as a proxy for adequate daily wear time. No substantial differences in the filtered armband datasets were observed by filtering methods. Significant gaps were observed between healthy walking amounts determined from armband data and through the health diary. Future studies need to explore more diverse data filtering methods and their impact on health outcome assessments.

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Section: Introductionmentioning

confidence: 99%

Quality of Person-Generated Healthy Walking Data: An Explorative Analysis

Kim,

Im,

Ahn

2024

Studies in Health Technology and Informatics

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“…Evidence reviews: a comprehensive literature review focused on original research within a 10-year time frame that discussed the barriers to and concerns of using patient-generated health data (PGHD) in clinical practice was conducted and published previously [19].…”

mentioning

confidence: 99%

Recommendations for the Quality Management of Patient-Generated Health Data in Remote Patient Monitoring: Mixed Methods Study

Abdolkhani¹,

Gray²,

Borda³

et al. 2023

JMIR Mhealth Uhealth

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Background Patient-generated health data (PGHD) collected from innovative wearables are enabling health care to shift to outside clinical settings through remote patient monitoring (RPM) initiatives. However, PGHD are collected continuously under the patient’s responsibility in rapidly changing circumstances during the patient’s daily life. This poses risks to the quality of PGHD and, in turn, reduces their trustworthiness and fitness for use in clinical practice. Objective Using a sociotechnical health informatics lens, we developed a data quality management (DQM) guideline for PGHD captured from wearable devices used in RPM with the objective of investigating how DQM principles can be applied to ensure that PGHD can reliably inform clinical decision-making in RPM. Methods First, clinicians, health information specialists, and MedTech industry representatives with experience in RPM were interviewed to identify DQM challenges. Second, these stakeholder groups were joined by patient representatives in a workshop to co-design potential solutions to meet the expectations of all the stakeholders. Third, the findings, along with the literature and policy review results, were interpreted to construct a guideline. Finally, we validated the guideline through a Delphi survey of international health informatics and health information management experts. Results The guideline constructed in this study comprised 19 recommendations across 7 aspects of DQM. It explicitly addressed the needs of patients and clinicians but implied that there must be collaboration among all stakeholders to meet these needs. Conclusions The increasing proliferation of PGHD from wearables in RPM requires a systematic approach to DQM so that these data can be reliably used in clinical care. The developed guideline is an important next step toward safe RPM.

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Point of Care Devices in Healthcare: A public health review (Preprint)

Zarnegar¹

2022

Preprint

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UNSTRUCTURED Point of care (POC) devices enable medical interventions, including testing, to be performed near the patient and often by the patient. Some have suggested that this will disrupt medicine from a symptom/diagnosis/treatment endeavour to a monitoring/prediction/prevention exercise. The rate of innovation and discovery in this area is high, with a majority of these devices used for screening. This article reviews the public health benefits of point of care devices in terms of patient engagement, health inequality and health promotion. Low-cost screening clinics that make use of point of care devices ultimately help with reducing health inequality in developing countries and remote areas. The article also outlines the issues hindering the benefits of using POC and further suggests a framework to present and evaluate point of care devices used in the healthcare industry. The scope of this study is limited to medical-grade devices used at home, in clinics, aged care and hospital settings. We argue that having such a framework provides a neutral source of information to evaluate and select POC for various tasks. CONCLUSION This study briefly reviews the benefits and challenges associated with using emerging point of care devices to achieve public health benefits. Emerging Point of Care devices has the potential to disrupt public health by increasing patient engagement in managing their own conditions, reducing inequalities in access to healthcare caused by geographic or resource factors, the automated detection of undiagnosed conditions, provision of the healthcare system, and the assembly of large datasets that can be analysed to guide public health policy. However, for these public health benefits to be realised, POC devices need to be regulated in a more open and transparent manner. A framework is proposed to provide information in a transparent manner for the comparison, maintenance and best use of POIC devices in order to facilitate the inclusion of these devices in the health care system.

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Recommendations for the Quality Management of Patient-Generated Health Data in Remote Patient Monitoring: Mixed Methods Study (Preprint)

Cited by 3 publications

References 72 publications

Quality of Person-Generated Healthy Walking Data: An Explorative Analysis

Quality of Person-Generated Healthy Walking Data: An Explorative Analysis

Recommendations for the Quality Management of Patient-Generated Health Data in Remote Patient Monitoring: Mixed Methods Study

Point of Care Devices in Healthcare: A public health review (Preprint)

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