Jae Hak Kim, Eugenia Lin, and Mark Pimentel. J Neurogastroenterol Motil 2017;23:20-6. https://doi.org/10.5056/jnm16135

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.

Health-care expenses have been projected to increase from 17.7% of the U.S. gross domestic product (GDP) in 2014 to 19.6% in 2024. The unsustainable increase in health-care costs has contributed toward support for value-based health care (VBHC) reform. Contemporary VBHC reform programs relevant to orthopaedic surgery include the voluntary Bundled Payments for Care Improvement initiatives (BPCI and BPCI-Advanced) and the Comprehensive Care for Joint Replacement (CJR) program, a mandatory bundled payment program. The purported benefits of transitioning from volume-based reimbursement to value-based reimbursement include moving from a fragmented provider-centered care model to a patient-centered model, with greater care coordination and alignment among providers focused on improving value. VBHC models allow innovative strategies to proactively invest resources to promote value (e.g., the use of nurse navigators) while eliminating unnecessary resources that do not promote value. However, major concerns regarding VBHC include the absence of medical and socioeconomic risk stratification as well as decreased access for higher-risk patients. This article identifies the benefits and potential unintended consequences of VBHC reform, with a focus on joint arthroplasty. We also discuss some potential strategies to promote innovation and improve value without compromising access for vulnerable patients.

Background: While previously used in other specialties, the preference signaling program (PSP) was implemented in the 2022 to 2023 orthopaedic surgery residency application process for the first time. The PSP allowed for 30 signaling tokens to be sent by applicants to programs of their choice to indicate particular interest in a program. It remains unknown how the PSP affects applicants and programs in the orthopaedic surgery residency match. Thus, this study's purpose was to assess the utility of preference signaling within the orthopaedic surgery residency application process in its inaugural year of use. Methods: An anonymous electronic survey was emailed to all orthopaedic surgery residency applicants who applied to the authors' institution during the 2022 to 2023 application cycle. The survey was sent after match lists were submitted and closed before the release of match results. The survey collected information regarding applicant demographics, preference signaling habits, and attitude toward preference signaling. Results: The survey was completed by 101 applicants. Applicants applied to a mean of 90 programs (range: 10-197) and received an average of 12 interview invitations (range: 0-39). Applicants almost uniformly used all 30 signals, with nearly two-thirds signaling their home programs (65%, 49/76), and nearly all applicants sending signals to programs at which they performed away rotations (95.7%, 88/92). Applicants received a mean of 9 invitations from programs they signaled, compared with 2 invitations from programs they did not signal. Applicants were significantly more likely to receive an interview invite at a program they signaled than one they did not (p < 0.01). Overall, 57% of applicants (57/101) found the PSP to be helpful, whereas 28% (28/101) found it to be unhelpful, and 16% (16/101) had a neutral opinion. Conclusions: This study reports that the PSP in the 2022 to 2023 orthopaedic surgery match was an effective method of expressing interest in a program because applicants were significantly more likely to receive interview invites to signaled programs. More than half of respondents felt PSP to be helpful; however, the effect on application numbers is still unclear. Level of Evidence: III