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PROomics: Patient Reported Outcome (PRO) and Self-Tracking for Personalized Medicine
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PROomics: Patient Reported Outcome (PRO) and Self-Tracking for Personalized Medicine

A special issue of Journal of Personalized Medicine (ISSN 2075-4426). This special issue belongs to the section "Methodology, Drug and Device Discovery".

Deadline for manuscript submissions: closed (15 August 2020) | Viewed by 18769

Special Issue Editor

Dr. Beth C. Bock

E-Mail Website
Guest Editor
Centers for Behavioral & Preventive Medicine The Miriam Hospital Coro Building, Suite 309 One Hoppin Street, Providence, RI 02903, USA
Interests: behavioral health; physical activity; substance use; mobile health; technology; games for health; tobacco; alcohol; positive psychology; mindfulness

Special Issue Information

Dear Colleagues,

What is more personalized than including individual observations, personal feelings, and mood, as well as self-tracked data into the medical decision process? Individual observations, personal feelings, and mood constitute the so-called Patient-Reported Outcome (PRO). In daily life, we are facing a constantly growing number of PRO measurements based on digital applications. At the same time, the amount of medically useful data coming from self-tracking or wearable devices is rapidly increasing as well. PRO and self-tracking data represent a new class of medically valuable data. We have named them PROomics. As there are few or nearly no models on how to incorporate PROomics information into personalized medicine, we would like to invite researchers working in this field to submit their manuscripts to this Special Issue. PROomics means looking at patients’ documented and recorded data beyond a single questionnaire and making them available for research and medical care. Manuscripts of interest can range from basic research to clinical routine.

Dr. Beth C. Bock
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Journal of Personalized Medicine is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • PRO
  • ePRO
  • PROM
  • self-tracking
  • self-tracking devices
  • wearables
  • big data
  • medical APPs
  • cloud medicine

Published Papers (5 papers)

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Research

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13 pages, 3455 KiB  
Article
Acceptability of a Patient Portal (Opal) in HIV Clinical Care: A Feasibility Study
by Dominic Chu, Tibor Schuster, David Lessard, Kedar Mate, Kim Engler, Yuanchao Ma, Ayoub Abulkhir, Anish Arora, Stephanie Long, Alexandra de Pokomandy, Karine Lacombe, Hayette Rougier, Joseph Cox, Nadine Kronfli, Tarek Hijal, John Kildea, Jean-Pierre Routy, Jamil Asselah and Bertrand Lebouché
J. Pers. Med. 2021, 11(2), 134; https://doi.org/10.3390/jpm11020134 - 16 Feb 2021
Cited by 3 | Viewed by 3891
Abstract
Opal (opalmedapps.com), a patient portal in use at the Cedars Cancer Centre of the McGill University Health Centre (MUHC) (Montreal, Canada), gives cancer patients access to their medical records, collects information on patient-reported outcome measures (PROMs), and has demonstrated patient satisfaction with care. [...] Read more.
Opal (opalmedapps.com), a patient portal in use at the Cedars Cancer Centre of the McGill University Health Centre (MUHC) (Montreal, Canada), gives cancer patients access to their medical records, collects information on patient-reported outcome measures (PROMs), and has demonstrated patient satisfaction with care. This feasibility study aims to evaluate Opal’s potential acceptability in the context of HIV care. People living with HIV (PLWH) and their healthcare providers (HCPs) completed cross-sectional surveys from August 2019 to February 2020 at large HIV centers, including the Chronic Viral Illness Service of the MUHC, and other HIV clinical sites in Montreal and Paris, France. This study comprised 114 PLWH (mean age 48 years old, SD = 12.4), including 74% men, 24% women, and 2% transgender or other; and 31 HCPs (mean age 46.5 years old, SD = 11.4), including 32% men, 65% women, and 3% other. Ownership of smartphones and tablets was high (93% PLWH, 96% HCPs), and participants were willing to use Opal (74% PLWH, 68% HCPs). Participants were interested in most Opal functions and PROMs, particularly PROMs capturing quality of life (89% PLWH, 77% HCPs), experience of healthcare (86% PLWH, 97% HCPs), and HIV self-management (92% PLWH, 97% HCPs). This study suggests Opal has high acceptability and potential usefulness as perceived by PLWH and HCPs. Full article
(This article belongs to the Special Issue PROomics: Patient Reported Outcome (PRO) and Self-Tracking for Personalized Medicine)
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86 pages, 9405 KiB  
Article
Co-Calibrating Physical and Psychological Outcomes and Consumer Wearable Activity Outcomes in Older Adults: An Evaluation of the coQoL Method
by Vlad Manea and Katarzyna Wac
J. Pers. Med. 2020, 10(4), 203; https://doi.org/10.3390/jpm10040203 - 31 Oct 2020
Cited by 3 | Viewed by 3939
Abstract
Inactivity, lack of sleep, and poor nutrition predispose individuals to health risks. Patient-Reported Outcomes (PROs) assess physical behaviours and psychological states but are subject of self-reporting biases. Conversely, wearables are an increasingly accurate source of behavioural Technology-Reported Outcomes (TechROs). However, the extent to [...] Read more.
Inactivity, lack of sleep, and poor nutrition predispose individuals to health risks. Patient-Reported Outcomes (PROs) assess physical behaviours and psychological states but are subject of self-reporting biases. Conversely, wearables are an increasingly accurate source of behavioural Technology-Reported Outcomes (TechROs). However, the extent to which PROs and TechROs provide convergent information is unknown. We propose the coQoL PRO-TechRO co-calibration method and report its feasibility, reliability, and human factors influencing data quality. Thirty-nine seniors provided 7.4 ± 4.4 PROs for physical activity (IPAQ), social support (MSPSS), anxiety/depression (GADS), nutrition (PREDIMED, SelfMNA), memory (MFE), sleep (PSQI), Quality of Life (EQ-5D-3L), and 295 ± 238 days of TechROs (Fitbit Charge 2) along two years. We co-calibrated PROs and TechROs by Spearman rank and reported human factors guiding coQoL use. We report high PRO—TechRO correlations (rS ≥ 0.8) for physical activity (moderate domestic activity—light+fair active duration), social support (family help—fair activity), anxiety/depression (numeric score—sleep duration), or sleep (duration to sleep—sleep duration) at various durations (7–120 days). coQoL feasibly co-calibrates constructs within physical behaviours and psychological states in seniors. Our results can inform designs of longitudinal observations and, whenever appropriate, personalized behavioural interventions. Full article
(This article belongs to the Special Issue PROomics: Patient Reported Outcome (PRO) and Self-Tracking for Personalized Medicine)
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Review

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44 pages, 3477 KiB  
Review
Digital Phenotyping and Patient-Generated Health Data for Outcome Measurement in Surgical Care: A Scoping Review
by Prakash Jayakumar, Eugenia Lin, Vincent Galea, Abraham J. Mathew, Nikhil Panda, Imelda Vetter and Alex B. Haynes
J. Pers. Med. 2020, 10(4), 282; https://doi.org/10.3390/jpm10040282 - 15 Dec 2020
Cited by 18 | Viewed by 3997
Abstract
Digital phenotyping—the moment-by-moment quantification of human phenotypes in situ using data related to activity, behavior, and communications, from personal digital devices, such as smart phones and wearables—has been gaining interest. Personalized health information captured within free-living settings using such technologies may better enable [...] Read more.
Digital phenotyping—the moment-by-moment quantification of human phenotypes in situ using data related to activity, behavior, and communications, from personal digital devices, such as smart phones and wearables—has been gaining interest. Personalized health information captured within free-living settings using such technologies may better enable the application of patient-generated health data (PGHD) to provide patient-centered care. The primary objective of this scoping review is to characterize the application of digital phenotyping and digitally captured active and passive PGHD for outcome measurement in surgical care. Secondarily, we synthesize the body of evidence to define specific areas for further work. We performed a systematic search of four bibliographic databases using terms related to “digital phenotyping and PGHD,” “outcome measurement,” and “surgical care” with no date limits. We registered the study (Open Science Framework), followed strict inclusion/exclusion criteria, performed screening, extraction, and synthesis of results in line with the PRISMA Extension for Scoping Reviews. A total of 224 studies were included. Published studies have accelerated in the last 5 years, originating in 29 countries (mostly from the USA, n = 74, 33%), featuring original prospective work (n = 149, 66%). Studies spanned 14 specialties, most commonly orthopedic surgery (n = 129, 58%), and had a postoperative focus (n = 210, 94%). Most of the work involved research-grade wearables (n = 130, 58%), prioritizing the capture of activity (n = 165, 74%) and biometric data (n = 100, 45%), with a view to providing a tracking/monitoring function (n = 115, 51%) for the management of surgical patients. Opportunities exist for further work across surgical specialties involving smartphones, communications data, comparison with patient-reported outcome measures (PROMs), applications focusing on prediction of outcomes, monitoring, risk profiling, shared decision making, and surgical optimization. The rapidly evolving state of the art in digital phenotyping and capture of PGHD offers exciting prospects for outcome measurement in surgical care pending further work and consideration related to clinical care, technology, and implementation. Full article
(This article belongs to the Special Issue PROomics: Patient Reported Outcome (PRO) and Self-Tracking for Personalized Medicine)
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20 pages, 2178 KiB  
Review
Compilation and Analysis of Web-Based Orthopedic Personalized Predictive Tools: A Scoping Review
by Patrick Curtin, Alexandra Conway, Liu Martin, Eugenia Lin, Prakash Jayakumar and Eric Swart
J. Pers. Med. 2020, 10(4), 223; https://doi.org/10.3390/jpm10040223 - 12 Nov 2020
Cited by 2 | Viewed by 2612
Abstract
Web-based personalized predictive tools in orthopedic surgery are becoming more widely available. Despite rising numbers of these tools, many orthopedic surgeons may not know what tools are available, how these tools were developed, and how they can be utilized. The aim of this [...] Read more.
Web-based personalized predictive tools in orthopedic surgery are becoming more widely available. Despite rising numbers of these tools, many orthopedic surgeons may not know what tools are available, how these tools were developed, and how they can be utilized. The aim of this scoping review is to compile and synthesize the profile of existing web-based orthopedic tools. We conducted two separate PubMed searches—one a broad search and the second a more targeted one involving high impact journals—with the aim of comprehensively identifying all existing tools. These articles were then screened for functional tool URLs, methods regarding the tool’s creation, and general inputs and outputs required for the tool to function. We identified 57 articles, which yielded 31 unique web-based tools. These tools involved various orthopedic conditions (e.g., fractures, osteoarthritis, musculoskeletal neoplasias); interventions (e.g., fracture fixation, total joint arthroplasty); outcomes (e.g., mortality, clinical outcomes). This scoping review highlights the availability and utility of a vast array of web-based personalized predictive tools for orthopedic surgeons. Increased awareness and access to these tools may allow for better decision support, surgical planning, post-operative expectation management, and improved shared decision-making. Full article
(This article belongs to the Special Issue PROomics: Patient Reported Outcome (PRO) and Self-Tracking for Personalized Medicine)
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Other

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12 pages, 1053 KiB  
Protocol
Convergent and Concurrent Validity between Clinical Recovery and Personal-Civic Recovery in Mental Health
by Jean-François Pelletier, Larry Davidson, Charles-Édouard Giguère, Nicolas Franck, Jonathan Bordet and Michael Rowe
J. Pers. Med. 2020, 10(4), 163; https://doi.org/10.3390/jpm10040163 - 12 Oct 2020
Cited by 11 | Viewed by 3692
Abstract
Several instruments have been developed by clinicians and academics to assess clinical recovery. Based on their life narratives, measurement tools have also been developed and validated through participatory research programs by persons living with mental health problems or illnesses to assess personal recovery. [...] Read more.
Several instruments have been developed by clinicians and academics to assess clinical recovery. Based on their life narratives, measurement tools have also been developed and validated through participatory research programs by persons living with mental health problems or illnesses to assess personal recovery. The main objective of this project is to explore possible correlations between clinical recovery, personal recovery, and citizenship by using patient-reported outcome measures. All study participants are currently being treated and monitored after having been diagnosed either with (a) psychotic disorders or (b) anxiety and mood disorders. They have completed questionnaires for clinical evaluation purposes (clinical recovery) will further complete the Recovery Assessment Scale and Citizenship Measure (personal-civic recovery composite index). Descriptive and statistical analyses will be performed to determine internal consistency for each of the subscales, and assess convergent-concurrent validity between clinical recovery, citizenship and personal recovery. Recovery-oriented mental health care and services are particularly recognizable by the presence of Peer Support Workers, who are persons with lived experience of recovery. Upon training, they can personify personalized mental health care and services, that is to say services that are centered on the person’s recovery project and not only on their symptoms. Data from our overall research strategy will lay the ground for the evaluation of the effects of the intervention of Peer Support Workers on clinical recovery, citizenship and personal recovery. Full article
(This article belongs to the Special Issue PROomics: Patient Reported Outcome (PRO) and Self-Tracking for Personalized Medicine)
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