Abstract

In lieu of an abstract, here is a brief excerpt of the content:Working with Patience:An Insight into Dealing with Difficult EmotionsDavid VilanovaAs the most trusted professionals in the nation, nurses are expected to care for their patients with empathy and freedom from bias. The reality is that nurses are human, and some form of implicit bias is inevitable. In my own experience, this issue has reared its head on several occasions. My nursing background is prominently in cardiac and intensive care. Seeing patients at their most vulnerable has become a regular part of my practice. Among some of the most challenging cases for me have been when I assume care of a patient withdrawing from alcohol. As an adult child with close alcoholic family members, many instances of abuse and pain stick with me today and these are brought to the surface when I care for patients with alcohol use disorder. In most cases, I easily find a healthy balance between remaining an understanding-and-empathetic provider and protecting my emotional and mental health as I navigate ethical and moral issues. However, with this patient population, walking that fine line is especially challenging. How do I navigate and manage intensely personal emotions and biases while providing the high-quality care I vowed to deliver regardless of my patient's life choices, addictions, and illnesses? How do I maintain an appropriate level of neutrality and clarity as this patient's behavior and attitude spark emotional triggers? In other words, how do I take care of someone I don't like?Mrs. H was a middle-aged Hispanic woman, barely coherent, but speaking clearly enough that I could understand her slurred speech. Immediate dread washed over me as I realized my assignment included a patient withdrawing from alcohol. The patient's affect, incoherence, and aggression were all too reminiscent of a traumatic past I still work to heal from. My coworkers couldn't understand her insults and obscenities and were therefore unphased except for noting her unruly and erratic behavior. On the other hand, I could understand much of what she was yelling at me and any other staff who bravely walked into her room. My immediate thoughts were that this woman clearly did not want our help. My every attempt to enter her room, speak with her, and provide care were met with an all too familiar rejection and denial that she even had a problem. Yet here she was in a hospital room, and I was her nurse. She verbalized denial of drinking too much when told that she was being treated for alcohol withdrawal. She stated this denial more to herself than to the health care providers in the room, and it was reminiscent of the denial I have seen in my loved ones. This was ironic, I always thought, as the need for such self-deception in and of itself points to the fact that something may be wrong and worth addressing.But denial or not, today, this patient—Mrs. H, was entrusted into my care. She refused treatments and medications, and this put me in a complex ethical predicament—treating a patient that I do not like for the personal issues she reminds me of, and the treatment of a patient against their refusal, as she was deemed incapable of making her own decisions. The latter of these two issues was easiest to put aside. Legally, this patient needed to be treated through her alcohol withdrawal. Once her mental status cleared up, she could sign out against medical advice or choose to remain until a safe discharge plan was in place. There was a protocol and legal guidelines for this situation. However, no guidelines [End Page 10] truly exist when it comes to the management of a patient that you simply do not like. The result can be a near-instantaneous dread each time you must answer that patient's bed alarm, call light, or most basic needs. A negative bias takes over, and it would be an understatement to say that this affects the quality of care. Patients in situations like this—with providers who judge them as I have been guilty of—can easily become subject to derogatory remarks, health inequities, and biased labeling...