RESUMEN
Passive smartphone measures hold significant potential and are increasingly employed in psychological and biomedical research to capture an individual's behavior. These measures involve the near-continuous and unobtrusive collection of data from smartphones without requiring active input from participants. For example, GPS sensors are used to determine the (social) context of a person, and accelerometers to measure movement. However, utilizing passive smartphone measures presents methodological challenges during data collection and analysis. Researchers must make multiple decisions when working with such measures, which can result in different conclusions. Unfortunately, the transparency of these decision-making processes is often lacking. The implementation of open science practices is only beginning to emerge in digital phenotyping studies and varies widely across studies. Well-intentioned researchers may fail to report on some decisions due to the variety of choices that must be made. To address this issue and enhance reproducibility in digital phenotyping studies, we propose the adoption of preregistration as a way forward. Although there have been some attempts to preregister digital phenotyping studies, a template for registering such studies is currently missing. This could be problematic due to the high level of complexity that requires a well-structured template. Therefore, our objective was to develop a preregistration template that is easy to use and understandable for researchers. Additionally, we explain this template and provide resources to assist researchers in making informed decisions regarding data collection, cleaning, and analysis. Overall, we aim to make researchers' choices explicit, enhance transparency, and elevate the standards for studies utilizing passive smartphone measures.
RESUMEN
Background Black individuals with chronic musculoskeletal (MSK) pain tend to experience worse pain and opioid use-related outcomes, including other substance co-use, compared with non-Hispanic White individuals. Co-using cannabis with opioids could instigate a cascade of pain-related vulnerabilities and poor outcomes. Here, we test associations between cannabis/opioid co-use and pain-related outcomes among Black individuals with chronic MSK pain. Methods Black adults with chronic MSK pain who use opioids (N=401; 51.62% female, Mage=35.90, SD=11.03) completed online measures of pain intensity/interference, emotional distress, opioid dependence, and risky use of other substances. Results Compared with opioid use alone, opioid and cannabis co-use was associated with elevated anxiety and depression symptoms, opioid dependence, and risky substance use, but not pain. Conclusions Black individuals with chronic MSK pain who co-use opioids and cannabis warrant targeted interventions that address their needs. Tailored interventions could help address disparities in pain-related outcomes and opioid morbidity and mortality rates.