Limited evidence exists on how non-cancer pain (NCP) affects an individual’s health-related quality of life (HRQoL). This study aimed to validate the Medical Outcomes Study Short Form-12 Version 2 (SF-12v2), a generic measure of HRQoL, in a NCP cohort using the Medical Expenditure Panel Survey Longitudinal Files. The SF Mental Component Summary (MCS12) and SF Physical Component Summary (PCS12) were tested for reliability (internal consistency and test-retest reliability) and validity (construct: convergent and discriminant; criterion: concurrent and predictive). A total of 15,716 patients with NCP were included in the final analysis. The MCS12 and PCS12 demonstrated high internal consistency (Cronbach’s alpha and Mosier’s alpha > 0.8), and moderate and high test-retest reliability, respectively (MCS12 intraclass correlation coefficient (ICC): 0.64; PCS12 ICC: 0.73). Both scales were significantly associated with a number of chronic conditions (p < 0.05). The PCS12 was strongly correlated with perceived health (r = 0.52) but weakly correlated with perceived mental health (r = 0.25). The MCS12 was moderately correlated with perceived mental health (r = 0.42) and perceived health (r = 0.33). Increasing PCS12 and MCS12 scores were significantly associated with lower odds of reporting future physical and cognitive limitations (PCS12: OR = 0.90 95%CI: 0.89–0.90, MCS12: OR = 0.94 95%CI: 0.93–0.94). In summary, the SF-12v2 is a reliable and valid measure of HRQoL for patients with NCP.

Introduction:Limited information exists on the landscape of studies and policies for remote patient monitoring (RPM) in the United States. Methods:We conducted a scoping review to assess (1) for which adult patient populations and health care needs is RPM being used and (2) the landscape of national- and state-level reimbursement policies for RPM. This study was guided by the Arksey and O'Malley methodological framework for scoping reviews and the Joanna Briggs Institute Manual for Evidence Synthesis. Results:A total of 399 articles were included in our final sample: 268 study articles and 131 articles of gray literature (e.g., websites, legislative bills). RPM-related articles rose drastically from 2015 to 2021, and the vast majority of articles were peer-reviewed journal articles. Of the study articles, prospective cohort studies were the most common study method, with m-health/smart watches being the most common RPM modality. RPM was found to be most commonly tested within patients with cardiovascular diseases, and the most common outcomes measured were usability and feasibility. Gray literature found 36 U.S. state Medicaid programs had reimbursement policies for RPM in 2021; however, 28 of those had at least one restriction on reimbursement (e.g., limited to specific providers). Conclusions:Despite the rapid growth in the literature on RPM and the adoption of reimbursement policies, retrospective, population-level studies, large randomized controlled trials, studies with a focus on additional favorable outcomes (e.g., quality of life), and studies evaluating trends in RPM reimbursement policies are lacking in the current literature.

Background: Telehealth is a rapidly growing modality for expanding healthcare access, especially in the post-COVID-19 era. However, telehealth requires high-quality broadband, thus making broadband a social determinant of health. The objective of this study was to evaluate the association between broadband access and telehealth utilization across the United States during the COVID-19 pandemic. Methods: Using a cross-sectional, ecological study design, we merged county-level data on broadband capacity (Microsoft's Rural Broadband Initiative), telehealth utilization among Medicare Fee-for-Service beneficiaries from January through September 2020 (CareJourney), and county-level socioeconomic characteristics (Area Health Resources Files). Multivariable linear regression was used to estimate the association between broadband capacity, county-level characteristics, and telehealth utilization. Results: Among the 3107 counties, those with the greatest broadband availability (quintile 5) had 47% higher telehealth utilization compared to counties with the least broadband availability (quintile 1). In the adjusted model, a 1 standard deviation (SD) increase in broadband access was associated with a 1.54 percentage point (pp) increase in telehealth utilization (P < 0.001). Rural county designation (−1.96 pp; P < 0.001) and 1 SD increases in average Medicare beneficiary age (−1.34 pp; P = 0.001), number of nursing home beds per 1000 individuals (−0.38 pp; P = 0.002), and proportion of Native Americans/Pacific Islanders (−0.59 pp; P < 0.001) were associated with decreased telehealth utilization. Conclusion: The association between broadband access and telehealth utilization and the decreased telehealth utilization in rural areas highlight the importance of broadband access for healthcare access and the need to continue investing in broadband infrastructure to promote equitable healthcare access across populations.