Research-based queries about patients' experiences often uncover suicidal thoughts. Human subjects review requires suicide risk management (SRM) protocols to protect patients, yet minimal information exists to guide researchers' protocol development and implementation efforts. The purpose of this study was to examine the development and implementation of an SRM protocol employed during telephone-based screening and data collection interviews of depressed primary care patients. We describe an SRM protocol development process and employ qualitative analysis of de-identified documentation to characterize protocol-driven interactions between research clinicians and patients. Protocol development required advance planning, training, and team building. Three percent of screened patients evidenced suicidal ideation; 12% of these met protocol standards for study clinician assessment/intervention. Risk reduction activities required teamwork and extensive collaboration. Research-based SRM protocols can facilitate patient safety by (1) identifying and verifying local clinical site approaches and resources and (2) integrating these features into prevention protocols and training for research teams. Suicidal ideation (SI) and behavior are significant for healthcare management across clinical and research settings. Within research studies, ethical practice mandates suicide risk management (SRM) protocols to guide researchers' efforts to maximize patient safety [1,2]. Key stakeholders in the adequacy of these protocols include patients who participate in research, the researchers who study patients at risk for suicide, and the Institutional Review Boards (IRB) that oversee research activities. Several important management tasks are relevant for research-based SRM. Detection tasks include identifying those research participants who evidence high risk and require SRM protocol entry [2]. Essential management tasks include the development and implementation of specific plans and identification and training of specific personnel to perform risk management activities [1,2].Guidance regarding the detection of suicidal threat can be found in the suicide literature, which characterizes risk across numerous domains [3]. Socio-demographic risks for suicide include age, gender, and ethnicity, with white men and older adults accounting for disproportionately high rates of completed suicides [4]. Distal suicide risk factors such as mental and medical illnesses represent relatively stable backdrops against which SI or suicidal behavior occurs [5]. For example, existing research indicates that suicide risk is elevated among persons with mental illness generally [6] and particularly among those with mood disorders [7], substance abuse/dependence problems [8], anxiety and posttraumatic stress disorder [9-11], self-reported physical illness [7,12], and chronic pain [13]. Psychosocial issues can be conceptualized as more proximal suicide risk factors, which exist on their own or in concert with distal risks. More proximal or transient fac...