Dr Nabila Younas, Dr Rabia Tabassum, Dr Maria Rubab
IIntroduction: Managing patients with cancer requires a multidisciplinary approach, especially when the cancer has metastasised to bone. Bone metastases frequently cause complications known as skeletal-related events (SREs), which are associated with significant morbidity, impaired mobility and social functioning, reduced quality of life (QoL). Objectives: The basic aim of the study is to find the quality of life in patients with bone tumors in Pakistani population. Methodology of the study: This cross-sectional study was conducted in Punjab Health department during March 2019 to October 2019. The data were collected from 50 patients of both genders who were suffering from bone tumor. This study was done for the analysis of quality of life of bone tumor patients in Pakistan. The data were collected through a prepared questionnaire. These parameters were assessed with three items to determine the relative value that an individual assign to quality of life (QOL) and quantity of life (LOL). This instrument, designed and refined based on prior research with the target population, asked participants to select from among 4 choices about whether QOL or LOL was more important. Results: The data were collected from 50 patients of both genders. To develop the propensity score model, we used a multinomial logistic regression of the nominal three-category quality of life variable. The age, SF-12, education, sex, and race terms were entered into the model using restricted cubic splines for age, SF-12 PCS, and SF-12 MCS and interactions of sex with age and education. Approximately half of the patient participants (55%) equally valued QOL and LOL based upon the composite measure. Of those patients with a preference, quality of life was selected more commonly than length of life, 27% vs. 18%. Conclusion: It is concluded that patients with less cancer-related distress were more likely to favour quality of life over length of life. The direction of causation in this relationship cannot be inferred from these data.