In spite of the aging of the Iranian population, the real needs of the elderly as a vulnerable group have not been given much attention, so they need serious consideration of the authorities for their comprehensive exposure. Therefore, in this study we tried to identify the priorities of active aging policy making for planning so that it can meet all their needs. So, factors affecting large-scale managerial policies could be a good aging predictive factor in the coming years.
The method of this project is a qualitative content analysis study. The statistical population of this study consisted of 287 elderly managers in organizations related to the provision of active aging services. The research tool was a questionnaire which was developed by the researcher. Quantitative assessment was done using content validity ratio (CVR) and content validity index (CVI). Data were analyzed using descriptive statistics, one sample t-test and SPSS software.
According to the findings of this study, nutrition, housing, leisure planning, income security, urban planning and spaces, mental health, community attitudes and health literacy, lifelong learning and employment are effective in prioritizing active aging policy and nutrition with 0.512 factor loading has the most important factor and "lifelong training" with 0.820 factor loading is the least in defining the factors of active aging in prioritizing.
If government and related organizations make policy-making based on priorities, and need-based policy-making becomes coherent and integrated, significant results are expected to improve the condition of the elderly.
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