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Older people who live in nursing homes commonly suffer from pain. Therefore, relieving suffering among older people that stems from pain demands knowledge improvement through an integration of international knowledge. This study aimed to integrate current international findings and strengthen the understanding of older people's experiences of and perspectives on pain and pain management in nursing homes. A meta-synthesis study using Noblit and Hare's interpretative meta-ethnography approach was conducted. Empirical research papers from journals were collected from various databases. The search process and appraisal determined six articles for inclusion. Two studies were conducted in the US and one each in Iceland, Norway, the UK, and Australia. The older people's experiences of pain as well as perspectives on pain management from all involved (older people, their family members, and healthcare staff) were integrated into a theoretical model using three themes of "identity of pain," "recognition of pain," and "response to pain." The metaphor of "normalizing suffering" was devised to illustrate the meaning of pain experiences and pain management in nursing homes. Society's common attitude that pain is unavoidable and therefore acceptable in old age in society--among older people themselves as well as those who are responsible for reporting, acknowledging, and relieving pain--must change. The article emphasizes that pain as a primary source of suffering can be relieved, provided that older people are encouraged to report their pain. In addition, healthcare staff require sufficient training to take a person-centered approach towards assessment and management of pain that considers all elements of pain. [ABSTRACT FROM AUTHOR]

Education is the core of the factors that improved people for a better lifestyle and increases the level of society' development. Quality education is one of the most vital goals of Sustainable Development Goals (SDGs) due to actualizing these factors. Using relational network data envelopment analysis (DEA), which have three interrelated substages, this current paper computes the educational economy efficiency of the Organisation for Economic Co-operation and Development (OECD) countries bearing in mind the characteristics related to SDGs. The contribution of our study is the use of a novel approach to computing the educational economy efficiency using relational network DEA with GAMS. Even though some interesting differences reveal in the efficiency of the countries, the findings show that countries with high-efficiency scores are clustered around countries like Latvia, Slovenia, and Korea.