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How Quality of Care in the Field of Family Planning Affects Contraception use Among Syrian Women?

كيف تؤثر نوعية الخدمات الصحية وجودتها في مجال تنظيم الأسرة في استخدام السيدات السوريات لموانع الحمل؟

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 Publication date 2008
and research's language is العربية
 Created by Shamra Editor




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Quality of health services in Reproductive Health is one of the key stones that leads to increase utility of these services by women specially in the field of Family planning. The percentage of women in Syria with unmet needs as regard contraception is still high which reflects the necessity for improvement of quality of these services either by improving efficiency and building capacity of the care providers or supplying good quality contraceptive methods taking in consideration the actual needs of the woman and husband wishes. This study aims at describing the quality of care as regard family planning services in Syria.

References used
Anna Glassier , Alisa Gebbie. Fourth Edition of Handbook of Family Planning and Reproductive Health,Churchil Livingstone, 15-19 ,2000
Axel I Mundigo , Cynthia Indriso. Abortion in the Developing world, WHO Publications,391-392,1999
H Bashour , A Abdulsalam , Jaber A , M Tabaa , S Cheikha, Dahman R, Khadra M., Laham M.Contracetives unmet needs national report in Syrian Arab Republic .Minisrty of health and UNFPA.2006
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Quality of health services in Reproductive Health is one of the key stones that leads to increase utility of these services by women specially in the field of Family planning. The percentage of women in Syria with unmet needs as regard contracepti on is still high which reflects the necessity for improvement of quality of these services either by improving efficiency and building capacity of the care providers or supplying good quality contraceptive methods taking in consideration the actual needs of the woman and husband wishes. This study aims at describing the quality of care as regard family planning services in Syria.
The problem of interpretation of knowledge learned by multi-head self-attention in transformers has been one of the central questions in NLP. However, a lot of work mainly focused on models trained for uni-modal tasks, e.g. machine translation. In th is paper, we examine masked self-attention in a multi-modal transformer trained for the task of image captioning. In particular, we test whether the multi-modality of the task objective affects the learned attention patterns. Our visualisations of masked self-attention demonstrate that (i) it can learn general linguistic knowledge of the textual input, and (ii) its attention patterns incorporate artefacts from visual modality even though it has never accessed it directly. We compare our transformer's attention patterns with masked attention in distilgpt-2 tested for uni-modal text generation of image captions. Based on the maps of extracted attention weights, we argue that masked self-attention in image captioning transformer seems to be enhanced with semantic knowledge from images, exemplifying joint language-and-vision information in its attention patterns.
The aim of the study was to identify physical, psychological, socioeconomic and sexual concerns. This study was conducted in the antenatal clinic at children and obstetric hospital in Lattakia City. A convenient sample of 170 women with unplanned p regnancy attending the previously mentioned setting was included in the study. Questionnaire sheet was developed by researcher and used to collect the necessary data. The results of this study revealed that 41.18% of women have physical problems due to unplanned pregnancy, 74% of them have sad feeling and about 24%have depressed feeling. Also unplanned pregnancy cause social problems in 49% of women, financial problems in 62% of them. The results of this study also revealed that unplanned pregnancy affect sexual relationship between women and their partners. So we suggest comprehensive sexual education, availability of family planning services and increased access to a range of effective birth control methods. and must evaluate the incidence of unplanned pregnancy in our society and make proper action to reduce and prevent the occurrence of unplanned pregnancy.
Recent work has raised concerns about the inherent limitations of text-only pretraining. In this paper, we first demonstrate that reporting bias, the tendency of people to not state the obvious, is one of the causes of this limitation, and then inves tigate to what extent multimodal training can mitigate this issue. To accomplish this, we 1) generate the Color Dataset (CoDa), a dataset of human-perceived color distributions for 521 common objects; 2) use CoDa to analyze and compare the color distribution found in text, the distribution captured by language models, and a human's perception of color; and 3) investigate the performance differences between text-only and multimodal models on CoDa. Our results show that the distribution of colors that a language model recovers correlates more strongly with the inaccurate distribution found in text than with the ground-truth, supporting the claim that reporting bias negatively impacts and inherently limits text-only training. We then demonstrate that multimodal models can leverage their visual training to mitigate these effects, providing a promising avenue for future research.
Objectives: Syria is considered to have the highest fertility rate in the world, some of the reasons are due to women themselves and some are due to the health system and its providers. Methods: Our study is a cross sectional study. It included wome n at fertility age between (15-49 years) they were selected using cluster samples at the six Syrian regions. Results: The study showed that about (24%) of sampled women did not use any form of contraception. Husband refusal was the main reason, followed by health issues and fear of side effects, while religious believes and less frequent intercourse were only responsible for a small percentage. The study also showed that about half of the women who underwent induced abortion was because of social reasons and couples wishing not to keep the pregnancy, followed by failure of contraceptive methods mainly oral contraceptive pills. The majority of induced abortions (96%) were done surgically by dilatation and evacuation while medication was only used in a small percentage. Conclusion: Although (95%) of the induced abortions were done by specialists and (96%) of women were satisfied with the service provided, however this procedure was not devoid of major complications although it was in a small percentage but it was serious enough to affect the woman's life and her future fertility.
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