Remote Pain Care Dyad Aims to Close the Cancer Pain Gap for Rural and Hispanic Patients

Cancer pain remains one of the most stubborn and under-treated problems in modern oncology, and a newly published trial protocol argues that the solution may lie not in a new drug but in a new delivery system. Researchers led by Sarah A. Minteer of the Mayo Clinic’s Department of Physical Medicine and Rehabilitation Research have unveiled the design of ASCENT, short for Achieving Safe, Comprehensive, digitally-Enabled cancer pain managemeNT, a parallel-group randomized clinical trial that will test whether a remote, team-based model of pain care can meaningfully reduce suffering among rural-dwelling and Hispanic cancer patients. The protocol, published open access in BMC Cancer on 13 October 2026 and registered on ClinicalTrials.gov as NCT06198010, describes an ambitious attempt to fuse the collaborative care model, a framework with deep roots in mental health treatment, with community health worker support and digital connectivity, all aimed at patients who are disproportionately likely to fall through the cracks of the health care system.

The scale of the problem the trial targets is difficult to overstate. Cancer patients and survivors experience pain at rates far exceeding those of the general population, and that pain erodes quality of life, disrupts sleep, fuels anxiety and depression, and can undermine the very treatments meant to cure or control the disease. Evidence-based, multi-modal pain care strategies, which combine pharmacologic approaches with behavioral, rehabilitative, and self-management techniques, already exist and are endorsed by clinical guidelines. Yet the authors of the ASCENT protocol point out that knowing what works is not the same as delivering it. Existing care models frequently fail to account for the preferences, support systems, and social needs of individual patients, and those failures fall hardest on populations facing structural barriers to access.

That is why the trial focuses specifically on rural-dwelling and/or Hispanic cancer patients with moderate to severe pain receiving care at one of eight participating sites. Rural patients often live hours from specialty pain services, and Hispanic patients may confront language barriers, distrust, and cost-related obstacles that make consistent follow-up nearly impossible. Social determinants of health, the economic and social conditions that shape a person’s ability to obtain care, are treated in ASCENT not as background noise but as a core clinical variable. The intervention is explicitly designed to identify and address these social determinant of health related access barriers alongside the pain itself, a dual mandate that distinguishes it from most prior pain management trials.

The mechanics of the intervention are deceptively simple. Participants randomized to the intervention arm receive a structured series of telephone and video calls over six months, delivered not by a physician but by a carefully constructed dyad: a Pain Care Manager paired with a Community Health Worker. The Pain Care Manager brings clinical expertise in pain assessment and management, while the Community Health Worker brings cultural connection, local knowledge, and the trust that comes from shared community experience. This pairing is the engine of the trial’s equity strategy. The community health worker can surface social needs that a patient might never disclose in a busy oncology clinic, from transportation problems to housing instability to difficulty affording medications, and can help translate the care plan into something that actually fits the patient’s life.

Each participant’s journey through the intervention begins with initial calls designed to characterize their pain and cancer histories, their management preferences, and their social determinant of health needs. From that assessment, the team constructs a Personalized Pain Management Program for each participant, one that is explicitly aligned both with the best available evidence and with the patient’s own stated preferences. The program is not a static document handed to the patient at discharge; it is refined during subsequent calls over the six-month period, allowing the dyad to adjust strategies as pain evolves, as side effects emerge, or as social circumstances shift. This iterative, preference-sensitive approach reflects a growing recognition in pain medicine that adherence depends less on the theoretical superiority of a treatment than on whether the patient actually wants and is able to follow it.

On the measurement side, the trial is rigorous and patient-centered. All participants, in both the intervention and control arms, complete outcome assessments at baseline and at three and six months. The battery captures pain, physical functioning, mood, sleep, quality of life, and pain catastrophizing, the pattern of catastrophic thinking about pain that is known to amplify suffering and disability. The primary outcome is pain itself, assessed with the Brief Pain Inventory, one of the most widely validated instruments in the field. Beyond patient-reported measures, the trial will track healthcare utilization outcomes, including hospitalizations and emergency care visits, providing a hard-edged test of whether better ambulatory pain management actually keeps patients out of emergency departments and hospital beds. That utilization data matters enormously for any future effort to scale the model, because payers and health systems will want evidence that proactive remote care offsets downstream acute care costs.

The theoretical scaffolding of the trial is the collaborative care model, an approach originally developed for depression treatment in primary care and since validated across dozens of chronic conditions. In its classic form, collaborative care embeds a care manager within a primary care team, supported by a consulting specialist who reviews cases and advises on treatment escalation. ASCENT adapts this architecture for cancer pain and strips away the requirement that patients physically travel to a clinic. By delivering the model entirely through telephone and video contact, the trial tests whether the collaborative care engine can run at a distance, reaching patients for whom the traditional clinic-based version is geographically or socially out of reach. If it works, the implications extend well beyond the two populations studied here, since the barriers faced by rural and Hispanic patients, distance, cost, language, and trust, are barriers that many other groups share.

The trial is supported by the National Institutes of Health through the NIH HEAL Initiative under award number R33CA278594, a funding stream created to accelerate solutions to the nation’s overlapping pain and opioid crises. That provenance is significant. Cancer pain management sits at a difficult intersection in American medicine: opioids remain an essential tool for many patients with moderate to severe cancer-related pain, yet the broader crackdown on opioid prescribing has made clinicians increasingly hesitant to prescribe, and patients with cancer have sometimes been caught in the crossfire of policies designed for other populations. A multi-modal, remotely delivered model that combines pharmacologic and non-pharmacologic strategies, monitors safety, and tailors care to individual preferences represents one plausible path through that thicket, offering comprehensive relief without relying on any single class of medication.

The research team itself reflects the trial’s community-embedded philosophy. In addition to investigators from Mayo Clinic sites in Rochester and Phoenix, the University of Oklahoma’s TSET Health Promotion Research Center and Stephenson Cancer Center, Yale University School of Medicine, Indiana University School of Medicine, the Regenstrief Institute, and The Ohio State University College of Medicine, the author list includes Deisy Canon Lovera of HACER, Hispanic Advocacy and Community Empowerment through Research, a St. Paul, Minnesota organization dedicated to community-driven research with Hispanic populations. The ASCENT Team consortium includes additional staff members who will carry out the day-to-day work of recruitment, assessment, and intervention delivery. The authors have also committed to a dissemination policy that extends beyond academic publication: findings will be shared at conferences and in peer-reviewed journals, and preliminary results will be sent to participants themselves in a final newsletter thanking them for their contribution, a small but meaningful gesture of reciprocity toward the patients whose data will drive the science.

For now, ASCENT remains a protocol rather than a result, and the oncology community will have to wait for the trial’s outcome data to know whether this model delivers. But the design alone signals where the field is heading. The future of cancer pain management, the trial suggests, may belong not to any single analgesic but to hybrid systems that pair clinical expertise with community trust, that treat social barriers as treatable clinical problems, and that meet patients where they are, literally, through the phone in their pocket. If the six-month intervention reduces pain, improves function and mood, and keeps patients out of emergency rooms, it would offer a potentially scalable, remote template for equitable pain care at a moment when the demand for such models has never been clearer.

Subject of Research: A randomized clinical trial protocol testing a digitally-enabled collaborative care intervention for cancer pain management in rural-dwelling and Hispanic patients

Article Title: Achieving Safe, Comprehensive, Digitally-Enabled Cancer Pain Management (ASCENT): Protocol for a Randomized Clinical Trial

Article References: Minteer, S. A., Austin, J. D., Clark, M. M., Morrison, E. J., Herrin, J., Tilburt, J., Pachman, D. R., Ruddy, K. J., Nelson, A., Podratz, J., Frick, M., Daus, L., Kroenke, K., Doubeni, C. A., Lovera, D. C., ASCENT Team, Dozois, D., Hein, J., Lulf, J., … Cheville, A. (2026). Achieving Safe, Comprehensive, Digitally-Enabled Cancer Pain Management (ASCENT): Protocol for a Randomized Clinical Trial. BMC Cancer. https://doi.org/10.1186/s12885-026-17122-8

Image Credits: AI Generated

DOI: 10.1186/s12885-026-17122-8

Keywords: cancer pain, randomized clinical trial, collaborative care model, community health worker, telehealth, health equity, rural health, Hispanic health, social determinants of health, pain management, NIH HEAL Initiative, Mayo Clinic