scholarly journals IGDA. 6: Supplementary assessment procedures – functioning, social context, cultural framework and quality of life

2003 ◽  
Vol 182 (S45) ◽  
pp. s50-s51 ◽  
Author(s):  

Supplementary procedures (Fig. 6.1) can be used to obtain a comprehensive assessment of social, cultural and other contextual factors influencing the occurrence, presentation, course or treatment of clinical disorders. They may also be useful for measuring social and occupational functioning and participation, social support, family adjustment, life events and quality of life. In these, as in all clinical assessments, the cultural framework should be systematically considered.

2020 ◽  
Author(s):  
Ying Ni ◽  
Chenye Tong ◽  
Limin Huang ◽  
Wenjie Zhou ◽  
Aijun Zhang

Abstract BackgroundAt present, the incidence of RIF reaches 5% -10% during IVF/ICSI assisted pregnancy treatment. RIF causes heavy financial burden and mental stress on patients and families and affects the quality of their lives. This study is aimed to investigate the current status of fertility quality of life (feritility QOL) and explore the factors influencing in patients with repeated implantation failure (RIF), thereby providing scientific basis for effective clinic interventional measures and helping to improve the feritility QOL of RIF patients.MethodsRIF patients were selected from the Reproductive Medical Center of Ruijin Hospital Affiliated to Shanghai Jiaotong University School of Medicine from January 2019 to December 2019. The General information questionnaire, FertiQoL scale, perceived social support scale (PSSS), self-rating anxiety scale (SAS), self-rating depression scale (SDS) were used to analyze the feritility QOL and related factors of RIF patients. ResultsThe total score of feritility QOL of RIF patients is (60.44 ± 11.60). The results of multivariate regression analysis showed that residence, financial difficulties, male infertility, BMI index, depression, family social support are the main factors that influence the feritility QOL of RIF patients (adjusted R2 = 0.762). ConclusionAmong the factors influencing the feritility QOL of RIF patients, residence, financial difficulties, male infertility, BMI index, depression and family social support are the main factors. Therefore, medical practioners should take specific interventional measures to improve the RIF patients’ feritility QOL.


2016 ◽  
Vol 8 (10) ◽  
pp. 24 ◽  
Author(s):  
Nourossadat Kariman ◽  
Maliheh Amerian ◽  
Padideh Jannati ◽  
Fatemeh Salmani ◽  
Mazlumeh Hamzekhani

<p><strong>Background and Objectives:</strong> Normal fertility follows a set of biological, social and cultural rules and regulations; controlled fertility, however, follows the rules and regulations of the family. The present study was therefore conducted to identify the factors influencing the first childbearing decision-making in women living in Shahroud, Iran, in 2014. <strong></strong></p><p><strong>Materials and Methods:</strong> The present descriptive cross-sectional study was conducted on 300 randomly-selected pregnant women admitted to health centers in Shahroud. The utilized data collection tools included a demographic and obstetrics questionnaire, a quality of life questionnaire, the ENRICH Marital Satisfaction Scale, the Snyder Hope Scale and the Multidimensional Scale of Perceived Social Support. Data were analyzed in SPSS-17 and the direct or inverse effects of the factors influencing the first childbearing decision-making were examined in AMOS-20.<strong></strong></p><p><strong>Results:</strong> The results obtained revealed marital age to have the highest degree of correlation with the first childbearing decision-making in women (r=0.90 and P&lt;0.001).Once the statistically insignificant paths were eliminated, marital age was found to have the highest direct effect (β=0.63) on the first childbearing decision-making, followed by other factors including economic status (β=0.07), hopefulness (β=-0.07) and quality of life (β=-0.05). The inverse effects of marital age (β=0.01), social support (β= -0.01) and quality of life (β=-0.01) on the first childbearing decision-making were found to be significant in women (P&lt;0.001).<strong></strong></p><p><strong>Conclusion:</strong> Many factors are involved in the process of childbearing decision-making, including individual factors (marital age, hopefulness and quality of life), familial factors (marital satisfaction) and social factors (social support). Healthcare institutions and policymakers should adopt strategies that can help couples bear their desired number of children within an appropriate time frame through ameliorating their social, economic and familial conditions.<strong></strong></p>


2016 ◽  
Vol 25 (11) ◽  
pp. 2897-2908 ◽  
Author(s):  
Cornelia Pocnet ◽  
Jean-Philippe Antonietti ◽  
Marie-Pierre F. Strippoli ◽  
Jennifer Glaus ◽  
Martin Preisig ◽  
...  

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