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Reproductive Health Among Bangoebadae Muslim Women: Cervical Cancer Care

Author

Listed:
  • SORAYA NIHA

    (Boromarajonani College of Nursing, Yala, Thailand)

  • BOONKANAS JANTARASIRIPUT

    (Boromarajonani College of Nursing, Yala, Thailand)

  • NARISARA TONYONGDALAW

    (Boromarajonani College of Nursing, Yala, Thailand)

  • NAVARAT VAICHOMPU

    (Boromarajonani College of Nursing, Yala, Thailand)

Abstract

Few studies have examined Muslim women’s perceptions of barriers and the possibilities they face in cervical cancer care. The purpose of this study was to explore the attitudes from the perspective of Thai women of their experience of reproductive health in cervical cancer care. A qualitative methodology was chosen, and open-ended interviews were carried out with ten Muslim women. The interviews were audio recorded and transcribed verbatim; thereafter, a manifest content analysis was carried out. Three main themes connected to the aim of the study were found: "Personal construction of health care providers," "Understanding reproductive health" and "Culturally congruent context of reproductive health". The most prominent findings in this study are health care providers adapted to be developing holistic care intervention consisting of improved nursing care for reproductive health, meaningful relationship care and social relative of reproductive health. Furthermore, this finding might be possible to be transferred and considered in Muslim women similar settings. Health care providers should also concern cultural care that is available with her husband in support of reproductive health care among Thai Muslim women.

Suggested Citation

  • Soraya Niha & Boonkanas Jantarasiriput & Narisara Tonyongdalaw & Navarat Vaichompu, 2016. "Reproductive Health Among Bangoebadae Muslim Women: Cervical Cancer Care," International Journal of Health and Medical Sciences, Mohammad A. H. Khan, vol. 2(3), pages 52-57.
  • Handle: RePEc:apa:ijhmss:2016:p:52-57
    DOI: 10.20469/ijhms.2.30002-3
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    References listed on IDEAS

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    1. Eggi I. Putri & Rita Magdalena & Ledya Novamizanti, 2015. "The detection of cervical cancer disease using an adaptive thresholding method through digital image processing," Journal of Advances in Health and Medical Sciences, Balachandar S. Sayapathi, vol. 1(1), pages 30-36.
    2. Le Thi Mai & Bui Loan Thuy, 2015. "Work-Family Role Conflict: A Survey of Woman Entrepreneurs in Hochiminh City," International Journal of Humanities, Arts and Social Sciences, Dr. Mohammad Hamad Al-khresheh, vol. 1(1), pages 36-47.
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    Cited by:

    1. Faozia Ali S. Alsarori & Reza Hassanpour, 2016. "Automatic detection of breast cancer in mammogram images," Journal of Advances in Technology and Engineering Research, A/Professor Akbar A. Khatibi, vol. 2(6), pages 196-201.
    2. Kuo-Pin Li* & Shieh-Liang Chen & Wen-Hong Chiu & Wen-Cheng Lu, 2019. "Strategies of Reduce Customer’s No-show Probability at Restaurants," The Journal of Social Sciences Research, Academic Research Publishing Group, vol. 5(1), pages 145-152, 01-2019.
    3. Nurjannah Syakrani & Rheza Ghivary Santoso, 2018. "Detection of melanoma cancer using gray level cooccurance matrix and artificial neural network methods," Journal of Advances in Technology and Engineering Research, A/Professor Akbar A. Khatibi, vol. 4(2), pages 91-101.

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