This research had several methodological strengths. Drop-out and lost on follow-up rates were zero, with 100% of the subjects in both groups providing data during two months. Despite this strength, the research also had limitations that affected its outcome. First, the sample was depended on the researcher’s social network via snowballing sampling technique. This could have created bias in the selection of the sample, even though the sample was randomised after being selected. Second, blinding of the participant to the intervention was not possible as the participants were aware that they were listening to music, and Hawthorne effect could not be avoided, even though the researcher remained a distance away from the participants during the intervention. Third, length between the interventions was one week apart, and thus, confounding variables could have set in during the week and cause a change in the outcome variables. For example, this study did not control the number of times the participant can listen to music at home other than the intervention session. They were only encouraged to listen to music at home after the intervention session, but it was not made compulsory. Therefore, the participant may listen to more music on a particular week, which may result in a significant difference from the baseline. Fourth, although results shown that listening to music may act as an effective intervention to allay depression levels in a group of older people, because of small sample sizes, we could consider it as a preliminary study and further study should proceed by recruiting more subjects. Last but not the least, to be aware of the emotional side effects that may occur in some of the older people after listening to music, having a psychologist work with the research nurse to handle this issue is suggested for future studies.