|
KMID : 1023720210760030065
|
|
Journal of Welfare for the Aged
2021 Volume.76 No. 3 p.65 ~ p.90
|
|
|
An Exploratory Study on Improving Discovery of Older Adults in Welfare Blind Spots: Enhancing Results of the Social Security Information System
|
|
Kim Jung-Hyun
Han Eun-Hee
|
|
|
Abstract
|
|
|
|
The welfare blind spot discovery management system using administrative big data is being operated to respond welfare blind spots that do not received appropriate support even in a crisis situation. However, the current risk prediction model for vulnerable households has limitations in reflecting the needs among older adults. This study aims to explore the method of improving the risk prediction model for vulnerable households reflecting the needs of older adults. Focus Group Interviews(FGI) were conducted on 7 social work and policy experts in the field of older adults. The results from the analysis identified targets and predictor variables in older adult welfare blind spots which could be applied to the risk prediction model for vulnerable households. In older to prevent blind spots, the prediction model should consider the needs of older adults and regardless of whether they received or use welfare benefits and services. Applying predictor variables reflecting the needs of older adults and linking older systems to apply these variables can improve the accuracy of the predictive model and improve limitations of application-based service provision. Subsequent researches should focus on the function and performance evaluation of the welfare blind spot prediction system that reflects the needs among older adults.
|
|
|
KEYWORD
|
|
|
Welfare blind spots for older adults, social security information system, FGI, risk prediction model for vulnerable households
|
|
|
FullTexts / Linksout information
|
|
|
|
|
|
Listed journal information
|
|
|