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The adaptation to the Turkish language and culture and a reliability and validity study for the professional issues in maternal mental health scale (PIMMHS)

Yıl 2021, Cilt: 8 Sayı: 3, 178 - 185, 01.09.2021

Öz

Purpose: This study was conducted to adapt the Professional Issues in Maternal Mental Health Scale, developed by Jomeen et al. (2018) to provide benefit in both education and clinical fields of practice, to the Turkish language and culture and to identify its psychometric properties. Method: The sample of the study, which was conducted methodologically between November 15, 2018 and February 15, 2019, was made up of students (n=202) who met the criteria for inclusion in the research from a public university midwife department (N=295). Results: For the 7-item Turkish version of the Professional Issues in Maternal Mental Health Scale, the cronbach α coefficient was found to be 0.625. According to the confirmatory factor analysis results of the Professional Issues in Maternal Mental Health Scale, the RMSEA value is 0.038, and the scale consists of 3 factors, together these three factors explain approximately 70.26% of the total variance. Conclusion: A highly reliable scale has been adapted to the Turkish language and culture for both midwifery profession and all other healthcare professionals concerned with women's health and has been brought into the literature.

Kaynakça

  • Noonan, M., et al., Midwives’ perceptions and experiences of caring for women who experience perinatal mental health problems: An integrative review. Midwifery, 2017. 45: p. 56-71.
  • Lewis, G. and J. Drife, Confidential Enquiry into Maternal and Child Health. Why mothers die 2000-2002. Sixth report of the Confidential Enquiries into Maternal Deaths in the United Kingdom, 2004.
  • Lewis, G., Confidential Enquiry Into Maternal and Child Health: Saving Mother's Lives: Reviewing Maternal Deaths to Make Motherhood Safer-2003-2005: Executive Summary and Key Recommendations: December 2007. 2007: CEMACH.
  • McClure, J., G. Cooper, and T. Clutton-Brock, Centre for Maternal and Child Enquiries. Saving mothers’ lives: reviewing maternal deaths to make motherhood safer: 2006–8: a review. Br J Anaesth, 2011. 107(2): p. 127-132.
  • Darwin, Z., L. McGowan, and L.C. Edozien, Antenatal mental health referrals: review of local clinical practice and pregnant women׳ s experiences in England. Midwifery, 2015. 31(3): p. e17-e22.
  • Sockol, L.E., C.N. Epperson, and J.P. Barber, Preventing postpartum depression: a meta-analytic review. Clinical psychology review, 2013. 33(8): p. 1205-1217.
  • Milgrom, J., et al., Antenatal risk factors for postnatal depression: a large prospective study. Journal of affective disorders, 2008. 108(1-2): p. 147-157.
  • Jarrett, P.M., How do women’s self-report symptoms impact on identification of perinatal mental health problems? The Journal of Mental Health Training, Education and Practice, 2017.
  • Jarrett, P.M., Pregnant women’s experience of depression care. The Journal of Mental Health Training, Education and Practice, 2016.
  • Priest, S., et al., A psychosocial risk assessment model (PRAM) for use with pregnant and postpartum women in primary care settings. Archives of women's mental health, 2008. 11(5-6): p. 307.
  • Redshaw, M. and J. Henderson, Who is actually asked about their mental health in pregnancy and the postnatal period? Findings from a national survey. BMC psychiatry, 2016. 16(1): p. 322.
  • Edge, D., Falling through the net—Black and minority ethnic women and perinatal mental healthcare: health professionals' views. General hospital psychiatry, 2010. 32(1): p. 17-25.
  • Mivsek, A.P., V. Hundley, and A. Kiger, Slovenian midwives' and nurses' views on post‐natal depression: an exploratory study. International Nursing Review, 2008. 55(3): p. 320-326.
  • McCauley, K., et al., Midwives and assessment of perinatal mental health. Journal of Psychiatric and Mental Health Nursing, 2011. 18(9): p. 786-795.
  • Hauck, Y.L., et al., Australian midwives knowledge, attitude and perceived learning needs around perinatal mental health. Midwifery, 2015. 31(1): p. 247-255.
  • Gibb, S. and V. Hundley, What psychosocial well-being in the postnatal period means to midwives. Midwifery, 2007. 23(4): p. 413-424.
  • Jones, C.J., D.K. Creedy, and J.A. Gamble, Australian midwives' attitudes towards care for women with emotional distress. Midwifery, 2012. 28(2): p. 216-221.
  • Jones, C.J., D.K. Creedy, and J.A. Gamble, Australian midwives’ awareness and management of antenatal and postpartum depression. Women and Birth, 2012. 25(1): p. 23-28.
  • Ross-Davie, M., et al., A public health role in perinatal mental health: are midwives ready? British Journal of Midwifery, 2006. 14(6): p. 330-334.
  • Rothera, I. and M. Oates, Managing perinatal mental health: A survey of practitioners’ views. British Journal of Midwifery, 2011. 19(5): p. 304-313.
  • Khan, L., Falling through the gaps: perinatal mental health and general practice. London: Centre for Mental Health, 2015.
  • World Health Organization, Year of the Nurse and the Midwife 2020. 2020.
  • Jomeen, J., P. Jarrett, and C. Martin, Professional issues in maternal mental health scale (PIMMHS): The development and initial validation of a brief and valid measure. European Journal of Midwifery, 2018. 2(February).
  • Alpar, R., Uygulamalı çok değişkenli istatistiksel yöntemler [Applied multivariate statistical methods]. 5th ed. 2017, Ankara: Detay Publishing.
  • Burns, N. and S. Grove, The practice of nursing research: Appraisal, synthesis and generation of evidence. 6th ed. 2009, St. Louis: Saunders Elsevier.
  • Ozdamar, K., Paket programlar ile istatistiksel veri analizi I [Statistical data analysis with packet programs I]. 10th ed. 2015, Eskisehir: Nisan Publishing.
  • Buyukozturk, S., et al., Bilimsel Araştırma Yöntemleri [Scientific Research Methods]. 24th ed. 2018, Ankara: Pegem Publishing.
  • Cokluk, O., G. Sekercioglu, and S. Buyukozturk, Sosyal bilimler için çok değişkenli istatistik: SPSS ve Lisrel uygulamalar [Multivariate statistics for social sciences: SPSS and Lisrel applications]. 5th ed. 2018, Ankara: Pegem Publishing.
  • Ozdamar, K., Paket programlar ile istatistiksel veri analizi II [Statistical data analysis with packet programs II]. 10th ed. 2018, Eskisehir: Nisan Publishing.
  • Ozdamar, K., Ölçek ve test geliştirme yapısal eşitlik modellemesi ıbm spss ıbm spss amos ve minitab uygulamalı [Scale and test development, structural equation modeling, IBM SPSS, IBM SPSS AMOS and MINITAB applied]. 2017, Eskişehir: Nisan Publishing.

Anne mental sağlığında mesleki sorunlar (AMSMS) ölçeğinin Türk Dili ve kültürüne uyarlanması, güvenilirlik ve geçerlik çalışması

Yıl 2021, Cilt: 8 Sayı: 3, 178 - 185, 01.09.2021

Öz

Amaç: Bu çalışma ile Jomeen ve arkadaşları (2018) tarafından geliştirilen, orijinal ismi “Professional Issues in Maternal Mental Health Scale (PIMMHS)” olan “Anne Mental Sağlığında Mesleki Sorunlar (AMSMS) Ölçeği”nin, Türk dili ve kültürüne uyarlanarak ebelik öğrencilerinin hem eğitim hem klinik uygulamalarında fayda sağlaması amaçlandı. Yöntem: 15 Kasım 2018-15 Şubat 2019 tarihleri arasında metodolojik olarak yürütülen çalışmanın örneklemini bir devlet üniversitesinin ebelik bölümüne kayıtlı öğrencilerinden (N=295) araştırmaya dahil edilme kriterlerini sağlayan (n=202) öğrenciler oluşturdu. Bulgular: AMSMS ölçeğinin 7 maddelik Türkçe versiyonu için cronbach α katsayısı, 0,625 bulundu. AMSMS ölçeğinin DFA sonuçlarına göre RMSEA değeri 0,038 bulunmakla birlikte ölçeğin 3 faktörden oluşmakta, bu üç faktör birlikte toplam varyansın yaklaşık %70,26’sını açıklamaktadır.
Sonuç: Yapılan analizlerin sonuçlarına göre orijinalinde 7 madde ve 2 alt boyuttan (duygusal rol, eğitim) oluşan ölçek, kültürel farklılıklar sonucunda 7 madde ve 3 alt boyut (profesyonel destek, duygusal rol, eğitim eksikliği) olarak Türk dili ve kültürüne uyum göstermektedir.

Kaynakça

  • Noonan, M., et al., Midwives’ perceptions and experiences of caring for women who experience perinatal mental health problems: An integrative review. Midwifery, 2017. 45: p. 56-71.
  • Lewis, G. and J. Drife, Confidential Enquiry into Maternal and Child Health. Why mothers die 2000-2002. Sixth report of the Confidential Enquiries into Maternal Deaths in the United Kingdom, 2004.
  • Lewis, G., Confidential Enquiry Into Maternal and Child Health: Saving Mother's Lives: Reviewing Maternal Deaths to Make Motherhood Safer-2003-2005: Executive Summary and Key Recommendations: December 2007. 2007: CEMACH.
  • McClure, J., G. Cooper, and T. Clutton-Brock, Centre for Maternal and Child Enquiries. Saving mothers’ lives: reviewing maternal deaths to make motherhood safer: 2006–8: a review. Br J Anaesth, 2011. 107(2): p. 127-132.
  • Darwin, Z., L. McGowan, and L.C. Edozien, Antenatal mental health referrals: review of local clinical practice and pregnant women׳ s experiences in England. Midwifery, 2015. 31(3): p. e17-e22.
  • Sockol, L.E., C.N. Epperson, and J.P. Barber, Preventing postpartum depression: a meta-analytic review. Clinical psychology review, 2013. 33(8): p. 1205-1217.
  • Milgrom, J., et al., Antenatal risk factors for postnatal depression: a large prospective study. Journal of affective disorders, 2008. 108(1-2): p. 147-157.
  • Jarrett, P.M., How do women’s self-report symptoms impact on identification of perinatal mental health problems? The Journal of Mental Health Training, Education and Practice, 2017.
  • Jarrett, P.M., Pregnant women’s experience of depression care. The Journal of Mental Health Training, Education and Practice, 2016.
  • Priest, S., et al., A psychosocial risk assessment model (PRAM) for use with pregnant and postpartum women in primary care settings. Archives of women's mental health, 2008. 11(5-6): p. 307.
  • Redshaw, M. and J. Henderson, Who is actually asked about their mental health in pregnancy and the postnatal period? Findings from a national survey. BMC psychiatry, 2016. 16(1): p. 322.
  • Edge, D., Falling through the net—Black and minority ethnic women and perinatal mental healthcare: health professionals' views. General hospital psychiatry, 2010. 32(1): p. 17-25.
  • Mivsek, A.P., V. Hundley, and A. Kiger, Slovenian midwives' and nurses' views on post‐natal depression: an exploratory study. International Nursing Review, 2008. 55(3): p. 320-326.
  • McCauley, K., et al., Midwives and assessment of perinatal mental health. Journal of Psychiatric and Mental Health Nursing, 2011. 18(9): p. 786-795.
  • Hauck, Y.L., et al., Australian midwives knowledge, attitude and perceived learning needs around perinatal mental health. Midwifery, 2015. 31(1): p. 247-255.
  • Gibb, S. and V. Hundley, What psychosocial well-being in the postnatal period means to midwives. Midwifery, 2007. 23(4): p. 413-424.
  • Jones, C.J., D.K. Creedy, and J.A. Gamble, Australian midwives' attitudes towards care for women with emotional distress. Midwifery, 2012. 28(2): p. 216-221.
  • Jones, C.J., D.K. Creedy, and J.A. Gamble, Australian midwives’ awareness and management of antenatal and postpartum depression. Women and Birth, 2012. 25(1): p. 23-28.
  • Ross-Davie, M., et al., A public health role in perinatal mental health: are midwives ready? British Journal of Midwifery, 2006. 14(6): p. 330-334.
  • Rothera, I. and M. Oates, Managing perinatal mental health: A survey of practitioners’ views. British Journal of Midwifery, 2011. 19(5): p. 304-313.
  • Khan, L., Falling through the gaps: perinatal mental health and general practice. London: Centre for Mental Health, 2015.
  • World Health Organization, Year of the Nurse and the Midwife 2020. 2020.
  • Jomeen, J., P. Jarrett, and C. Martin, Professional issues in maternal mental health scale (PIMMHS): The development and initial validation of a brief and valid measure. European Journal of Midwifery, 2018. 2(February).
  • Alpar, R., Uygulamalı çok değişkenli istatistiksel yöntemler [Applied multivariate statistical methods]. 5th ed. 2017, Ankara: Detay Publishing.
  • Burns, N. and S. Grove, The practice of nursing research: Appraisal, synthesis and generation of evidence. 6th ed. 2009, St. Louis: Saunders Elsevier.
  • Ozdamar, K., Paket programlar ile istatistiksel veri analizi I [Statistical data analysis with packet programs I]. 10th ed. 2015, Eskisehir: Nisan Publishing.
  • Buyukozturk, S., et al., Bilimsel Araştırma Yöntemleri [Scientific Research Methods]. 24th ed. 2018, Ankara: Pegem Publishing.
  • Cokluk, O., G. Sekercioglu, and S. Buyukozturk, Sosyal bilimler için çok değişkenli istatistik: SPSS ve Lisrel uygulamalar [Multivariate statistics for social sciences: SPSS and Lisrel applications]. 5th ed. 2018, Ankara: Pegem Publishing.
  • Ozdamar, K., Paket programlar ile istatistiksel veri analizi II [Statistical data analysis with packet programs II]. 10th ed. 2018, Eskisehir: Nisan Publishing.
  • Ozdamar, K., Ölçek ve test geliştirme yapısal eşitlik modellemesi ıbm spss ıbm spss amos ve minitab uygulamalı [Scale and test development, structural equation modeling, IBM SPSS, IBM SPSS AMOS and MINITAB applied]. 2017, Eskişehir: Nisan Publishing.
Toplam 30 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Sağlık Kurumları Yönetimi
Bölüm Araştırma
Yazarlar

Aysel Bülez 0000-0002-6871-3184

İrem Özel 0000-0002-0641-2474

Yayımlanma Tarihi 1 Eylül 2021
Kabul Tarihi 3 Nisan 2021
Yayımlandığı Sayı Yıl 2021 Cilt: 8 Sayı: 3

Kaynak Göster

APA Bülez, A., & Özel, İ. (2021). The adaptation to the Turkish language and culture and a reliability and validity study for the professional issues in maternal mental health scale (PIMMHS). Sağlık Akademisyenleri Dergisi, 8(3), 178-185.
INDEX: “Index Copernicus, EBSCO Central & Eastern European Academic Source, EBSCO CINAHL,EuroPub, Sobiad, Asos Index, Turk Medline, Google Sholar, Dergipark,Türkiye Atıf Dizini ve Araştırmax...




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