Active Aging Management in Iran: Designing a model

Abstract

Objective: Active ageing constitutes one of the guiding perspectives on policies, but the factors influencing ageing have not received considerable attention. The present study aimed to identify the factors affecting active ageing management in Iran.

Design: Drawing on quantitative data gathered through a questionnaire filled out by 287 participants and an interview with 20 experts.

Main outcome measures: The instrument was a questionnaire based on the five-point Likert scale. Questions with CVR>0.49 and with CVI>0.7 were accepted. To assess the reliability of the questionnaire, Cronbach's alpha coefficient was (0.92) used. The adequacy of the sample size was estimated at 0.952, based on the Kaiser-Meyer-Olkin (KMO) index. The collected data were analyzed by SPSS Ver 22. An exploratory factor analysis was used to explore and evaluate the dimensions of the model through a mathematical approach. Also, confirmatory factor analysis was utilized to verify the model, using AMOS 24 software.

Results: Eight factors were identified as effective factors in active ageing management in Iran, which include: Organizational structure (0/83), services (0/80), control (0/74), financing (0/72), government grants (0/71), policy making (0/68), selected area to focus (0/65), members (0/63). Organizational structure and member components had the most and least significant effects.

Conclusions: Establishing a High Council with the presence of the President's representative, allocating a specific budget for the elderly, determining the responsibilities of the government and the related organizations, determining the responsibility and providing suitable services can lead to the effective management of active ageing.