Improving Cancer Care for People Living With HIV: A Qualitative Study of Provider Knowledge, Attitudes, and Practice.

purposeCancer is now the leading cause of non-AIDS death in the US population with HIV. People living with HIV (PLWH) are known to have lower cancer treatment rates and worse cancer outcomes. Disparate cancer treatment is driven by health system, patient, and clinician factors. Little attention has been given to the factors oncologists consider when making cancer treatment recommendations to PLWH. This study sought to examine oncologists' knowledge, attitudes, and practices that influence cancer treatment decision-making. METHODS AND MATERIALS: This study used qualitative methods to explore oncologists' treatment decision-making processes for PLWH and cancer. The sample included 25 radiation, medical, and surgical oncologists from 2 academic centers and 5 community practices. The interview domains were developed from the Andersen Healthcare Utilization Model, the Health Belief Model, and the PEN-3 Model, as well as our prior survey research.

resultsThis study describes elements of cancer treatment decision-making for PLWH. Oncologists highlighted the need for formal HIV education to support cancer treatment. One main concern with patient-provider interactions pertained to maintaining patient confidentiality during clinical encounters. Lastly, the importance of multidisciplinary care among health care providers allowed oncologists to facilitate both cancer care and logistical support.

conclusionsAs cancer becomes an increasingly common cause of death among PLWH, it is critical to understand the drivers of the observed disparities in cancer treatment. To our knowledge, this is the first qualitative study to describe oncologists' knowledge, attitudes, and practices toward patients who have a comorbid diagnosis of HIV and cancer. Several themes for future interventions emerge, including HIV training for cancer care providers, fostering interdisciplinary collaboration, enhancing HIV education for oncology learners and clinicians, and minimizing implicit bias.