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Reliability Testing of Screening Instruments for Antenatal Depression and Associated Risk Factors in Urban Primary Care

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Background: Seven to twenty percent of pregnant mothers experienced antenatal depression symptoms, which were associated to various risk factors. Several questionnaires to screen antenatal depression and its associated risk factors are available and have been tested in few sites, but not in the primary care of urban area in Indonesia. This study will describe the reliability of using these instruments at urban primary health care. Method: This study was a cross-sectional study with convenient sampling method of 116 pregnant mothers who had antenatal care in Matraman Primary Health Care between March–May 2016. Respondents were asked to fill an identity form to get their demographical characteristic. They also filled Lembar Pengenalan Gejala Depresi to detect any symptom of antenatal depression with cut off score ≤5 for the presence of depression, social support using Kuesioner Dukungan Sosial, relationship situation with husband using Kuesioner Kesesuaian Hubungan Suami Istri. Respondents took 20 minutes to complete all of the questionnaires. The reliability of each questionnaire was tested. Results: This study showed the reliability for each questionnaire to be used in urban primary health care setting. Cronbach’s alpha for Lembar Pengenalan Gejala Depresi, Kuesioner Dukungan Sosial, and Kuesioner Kesesuaian Hubungan Suami Istri were 0.733, 0.877, and 0.890 respectively. For each questionnaire, there was no multicollinearity for each item. Conclusion: Lembar Pengenalan Gejala Depresi, Kuesioner Dukungan Sosial, and Kuesioner Kesesuaian Hubungan Suami Istri were reliable to detect antenatal depression and the associated risk factors in various setting.
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Keywords: Antenatal Depression; Screening Instruments; Urban Primary Care

Document Type: Research Article

Affiliations: Department of Psychiatry, RSCM-Medical Faculty, University of Indonesia, Jakarta, 10430, Indonesia

Publication date: April 1, 2017

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