Interventions delivered to cancer patients along with their caregiver as a unit of care indicates dyadic intervention. With the shift of care to home, dyadic interventions are being popular among cancer care. This review aims to identify the dyadic interventions targeting quality of life (QOL) of cancer patient. The current review examined different dyadic interventions for cancer patients from January 2009 to January 2020. PubMed, Psych-info, and CINAHL databases were searched, and 27 studies were included in the review. There were different dyadic interventions for cancer patients including skill based, psychosocial (psycho-educational, educational, counseling), yoga, mindfulness, coping, dance, writing, training along with education, and counseling. Interventions were different in mode of delivery, duration, and delivery personnel. Interventions had improved some aspects of QOL among cancer patients as well as caregivers. Although some aspects of QOL were improved, precise dose and use of different approaches together could be integrated to develop further interventions. Further intervention based on strong theoretical framework guided by the standard protocol is recommended.

Objective: To explore the predictive factors on fatigue among pulmonary tuberculosis patients receiving anti-tuberculosis drugs.Methods: This study is a predictive correlational research designed. The sample was comprised of 125 patients at the out-patient department, a tertiary hospital in Bangkok setting. The data were collected between January to February 2020. The questionnaires included mini-cognitive assessment instrument (Mini-Cog); the demographic characteristics questionnaire; Piper fatigue scale-12 (PFS-12); Nutrition alert form (NAF); the Pittsburgh sleep quality index (PSQI); and the Center for epidemiologic studies depression scale (CES-D). All data were analyzed by using descriptive statistics and multiple regression analysis.Results: The sample had a mean age of 58.45 years (SD = 15.374) of which 60.8% were males. Overall, the mean score of fatigue was a moderate level (Mean = 4.90, SD = 2.455). From the multiple regression analysis, age, nutritional status, sleep quality, and depression could explain the variances on fatigue in the sample group as 52.5% (R2 = .525, F = 33.119, p < .001). Nutritional status, sleep quality, and depression are the variables found to be capable in predicting fatigue of pulmonary tuberculosis patients with statistical significance (β = .316, p < .001, β = .226, p < .05 and β = .340, p < .001). Conclusion: Nutritional status, sleep quality, and depression could affect fatigue. Healthcare teams should assess patients to prevent and manage the aforementioned symptoms to reduce suffering from fatigue and a better quality of life.