TY  - JOUR
TI  - The importance of mental health variables for life expectancy  by entropy weighting method: a case of OECD countries
AB  - Objectives: This study aims to determine the weights (order of importance) of the mental health variables associated  with life expectancy and rank them from the most important. Methods: This is a retrospective study involving member countries of the Organization for Economic Co-operation  and Development (OECD). Mental health variables were divided into two groups: (i) healthcare resources (psychiatric  beds in mental hospitals or general hospitals, psychiatrists, and nurses working in the mental health sector); (ii) sub jective well-being measures (perceived health status, life satisfaction, and quality of support network). Accordingly,  the secondary data for the variables of mental health-related healthcare resources used in this study covers the years  2013–2017, and the data of subjective well-being measures covers 2017. The order of importance (weights) of the  study variables was determined using the “entropy weighting method,” which is one of the criteria weighting methods  employed in multi-criteria decision-making. Results: The most important variables associated with life expectancy were beds in mental hospitals and nurses work ing in the mental health sector. The quality of the support network was relatively less important. Conclusion: The results obtained point to the necessity of strengthening mental health resources in order to increase  life expectancy. These results can guide health professionals about the priority interventions and policies that should  be planned to increase life expectancy and the management of life expectancy-related variables.
AU  - USLU, ESRA
AU  - Yeşilaydın, Gözde
DO  - 10.14744/phd.2022.79836
PY  - 2023
JO  - Psikiyatri Hemşireliği Dergisi
VL  - 14
IS  - 1
SN  - 2149-374X
SP  - 9
EP  - 14
DB  - TRDizin
UR  - http://search/yayin/detay/1179022
ER  -