طراحی روش و اندازه‌گیری کیفیت گزارش‌های آماری رسمی بیمه زندگی در ایران بر اساس چارچوب ملی تضمین کیفیت آمار (NQAF)

The quality of official life insurance statistics constitutes a fundamental infrastructure for evidence-based policymaking, prudential supervision, actuarial calculations, solvency assessment, and insurers’ decision-making. Despite the continuous publication of insurance industry statistics, no systematic assessment has been conducted of the processes underlying the production and dissemination of official life insurance statistics in Iran based on a comprehensive quality framework. Accordingly, this study aims to assess the maturity level of statistical quality and to develop evaluation indicators based on the localization of the National Quality Assurance Framework for Statistics (NQAF). This applied study adopted a descriptive-survey design. The conceptual framework comprised four domains, namely statistical system management, institutional environment management, statistical process management, and statistical output management, together with the 19 principles of the NQAF. Following localization, 87 specialized indicators tailored to the characteristics of life insurance were developed. Data were collected through a researcher-made questionnaire using a nine-point Likert scale and a focus-group session involving six experts in statistics, insurance, actuarial science, and data quality. Instrument reliability was confirmed by Cronbach’s alpha coefficient of 0.979. The data were analyzed using mean scores and gap analysis relative to the ideal score of 9. The quality of the life insurance statistical system was assessed as moderate. Statistical system management received the highest mean score (5.99), whereas statistical process management received the lowest (5.56). The largest gap from the desired condition, was observed in statistical processes. The results indicate that managerial and supervisory dimensions are more developed than technical and operational infrastructures. The main challenges include the lack of integrated standards for data recording and exchange, inadequate quality controls, insufficient process documentation, and limited metadata. Developing common data standards, establishing a metadata management system, integrating information systems, strengthening automated quality controls, and expanding data collaboration between insurers and the supervisory authority are recommended.