Although online patient reviews (OPRs) are ubiquitous, there has been debate about whether OPRs are associated with measures of health care outcomes. The majority of patients search for online information about a hospital or provider before scheduling an encounter, therefore, the extent to which OPRs are valid information is important. We conducted a systematic review of the literature to examine the extent to which OPRs are associated with measures of patient experience, clinical quality, and other outcomes. We searched Medline, CINAHL, Web of Science, and PsycInfo, which yielded 32 studies. There were consistent positive correlations between OPRs and patient experience at both the organization and individual provider levels of analysis. However, associations between OPRs and quality measures were mixed. Organizational level OPRs may be more reliable than individual provider OPRs. In addition, the strength of association could be affected by the type of encounter setting, specialty, and specific measures.

Although expedited placement could ameliorate stagnant kidney utilization, precisely identifying difficult‐to‐place organs is crucial to mitigate potential harms associated with this policy. Existing algorithms have only leveraged structured data from the Organ Procurement and Transplantation Network (OPTN); however, detailed, free text case information about a donor exists. No known research exists about the utility of these data. We developed a model to predict the probability of delay or discard for adult deceased kidney donors between 2010 and 2018, leveraging donor free text data. The resultant model had a c‐statistic of 0.75 compared to 0.80 ( Reduced Probability of Delay or Discard [model], r‐PODD) and 0.77 ( Kidney Donor Profile Index, KDPI) on the test dataset. Analysis of the top predictive words suggest both known and potentially novel clinical factors (ie, a known factor such as hypertension vs a novel factor such as stents), and nuanced social factors (intravenous drug use) could negatively affect kidney utilization. These findings suggest that donor narratives have utility; the natural language processing (NLP) model is only moderately correlated with existing indices and provides directional evidence about additional cardiovascular risk factors that may affect kidney utilization. More research is needed to understand the potential to enhance existing indices of kidney utilization to better enable and mitigate the effects of policy interventions such as expedited placement.

This cross-sectional study examines the association between transit time and cold ischemic time for adult, deceased kidney transplant donors.

We present a perspective of the national transplant program based on organizational theory and complexity theory, framing the system’s allocation of donor organs as an interorganizational directed multiplex of agents with diverse belief formation in a cooperative-competitive environment. Simulation and analysis of this macroscale complexity may help explain known behavioural variations across member organizations. However, the transplant community still relies on system-scale simulations since effective macroscale methodologies are not well established. Therefore, we offer this perspective of the national transplant program as a means to stimulate new methods that capture macroscale impacts of policy development for deceased donor organ allocation.

Organizational level variable, but the descriptive stats are at the transplant level (ie, these should be interpreted as a transplant center's volume [experience] at the time of each transplant). BMI, body mass index; DCD, donation after circulatory death; IQR, interquartile range.