Cancer

Fu, Jack B.; Stout, Nicole L.; Egleston, Brian L.

doi: 10.1002/cncr.34373pmid: 35789997

The study by Smith et al. on the Patient‐Reported Outcomes Measurement Information System (PROMIS) Cancer Function Brief 3D Profile shows that it can be used to measure how an individual functions and how his or her function changes during cancer treatments. This is important because most patients will experience a decline in function during cancer treatment and will struggle to fully participate in their life roles. Strong evidence demonstrates that rehabilitation improves function for individuals with cancer; rehabilitation is relatively underutilized. We suggest that using the PROMIS tool as a repeated measure throughout cancer treatment will help to identify those with functional decline who will benefit most from rehabilitation.

doi: 10.1002/cncr.34361pmid: 35788995

Stensland, Kristian D.; Damschroder, Laura J.; Sales, Anne E.; Schott, Anne F.; Skolarus, Ted A.

doi: 10.1002/cncr.34357pmid: 35766902

Clinical trials are critical components of modern health care and infrastructure. Trials benefit society through scientific advancement and individual patients through trial participation. In fact, billions of dollars are spent annually in support of these benefits. Despite the massive investments, clinical trials often fail to accomplish their primary aims and trial enrollment rates remain low. Prior efforts to improve trial conduct and enrollment have had limited success, perhaps due to oversimplification of the complex, multilevel nature of trials. For these reasons, the authors propose applying implementation science to the clinical trials context. In this commentary, the authors posit clinical trials as complex, multilevel evidence‐based interventions with significant societal and individual benefits yet with persistent gaps in implementation. An application of implementation science concepts to the clinical trials context as means to build common vocabulary and establish a platform for applying implementation science and practice to improve clinical trial conduct is introduced. Applying implementation science to the clinical trials context can augment improvement efforts and build capacity for better and more efficient evidence‐based care for all patients and trial stakeholders throughout the clinical trials enterprise.

O’Rourke, Kate

doi: 10.1002/cncr.34398pmid: 35964331

Raj, Shailaja K. S.; Routh, Eric D.; Chou, Jeff W.; Votanopoulos, Konstantinos I.; Triozzi, Pierre L.; Miller, Lance D.

doi: 10.1002/cncr.34333pmid: 35767280

Hsueh, Chi‐Yao; Lau, Hui‐Ching; Huang, Qiang; Gong, Hongli; Sun, Ji; Cao, Pengyu; Hu, Chunyan; Zhang, Ming; Tao, Lei; Zhou, Liang

doi: 10.1002/cncr.34338pmid: 35789992

O’Rourke, Kate

doi: 10.1002/cncr.34397pmid: 35964330

Cathcart‐Rake, Elizabeth J.; Sanft, Tara; Tevaarwerk, Amye J.

doi: 10.1002/cncr.34343pmid: 35781699

Hollebecque, Antoine; Salvagni, Stefania; Plummer, Ruth; Niccoli, Patricia; Capdevila, Jaume; Curigliano, Giuseppe; Moreno, Victor; Braud, Filippo; Villambrosia, Sonia Gonzalez; Martin‐Romano, Patricia; Baudin, Eric; Arias, Marina; Alvaro, Juan; Parra‐Palau, Josep L.; Sánchez‐Pérez, Tania; Aronchik, Ida; Filvaroff, Ellen H.; Lamba, Manisha;

doi: 10.1002/cncr.33021pmid: N/A