Efficacy of an Algorithm-Based Nursing Intervention to Promote a Balance Between Cancer Patients’ Social Roles and Outpatient Treatment: A Quasi-Experimental Study

Cancer patients undergoing treatment are often unable to balance treatment and work because of the time required for care at the hospital and a desire to avoid problems at work. OBJECTIVE: The aim of this study was to elucidate the efficacy of an algorithm-based nursing intervention (ANI) to promote balance between social roles and outpatient treatment in cancer patients. METHODS: Participants were outpatients receiving cancer therapy and randomly assigned to a control or an intervention group, the latter to receive ANI for 2 months. The outcomes were assessed using the Distress and Impact Thermometer and changes in employment status. Data from 54 evaluable participants in each group were analyzed. RESULTS: Distress and Impact Thermometer scores in the intervention group were significantly lower than those in the control group (P < .001). In addition, 2 months later, 20 participants had resigned from their employment or were on leave in the control group (37.0%); this was twice the number in the intervention group, a significant difference (χ(2) = 4.573, P < .05). Logistic regression analysis showed that the odds ratio in the control group was 3.6 times that of the intervention group of having resigned. CONCLUSION: The ANI appears to have reduced distress and impact scores associated with the course of treatment and to have reduced the likelihood of resignations at 2 months after implementation. IMPLICATIONS FOR PRACTICE: The intervention appears to be effective and may be a new tool for use by outpatient oncology nurses.