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IDENTIFICATION AND MANAGEMENT OF POSTRPARTUM WOMEN ASSOCIATED WITH PSYCHIATRIC COOMORBIDITY AND ASSESSING THE EFFECTIVENESS OF MANAGEMENT

Authors: Dr. P. Lakshmi Prasuna1, Dr.R.Venkataramudu2, G.Ramyasree3, C.V.Jagadishwar3, G.Tejaswini3, G. Mahesh3, E. Sam Jeeva Kumar4;

IDENTIFICATION AND MANAGEMENT OF POSTRPARTUM WOMEN ASSOCIATED WITH PSYCHIATRIC COOMORBIDITY AND ASSESSING THE EFFECTIVENESS OF MANAGEMENT

Abstract

Postpartum psychiatric disorders are the common conditions that are frequently missed by health care team but have significant negative impact on parenting capacities which in turn results in negative outcome of child cognitive and emotional developmental progress. The main aim of the study is to identify and manage the postpartum women who are associated with psychiatric illness and to assess the effectiveness of the management. The patients were identified using different scales like HARS, EPDS, PHQ. The study revealed that the postpartum psychiatric illness like anxiety and depression was majorly in age group 20-25, with incidence rate 43.33% which is higher. The study showed positive outcomes for intervention. Hence this study is useful for clinicians and other healthcare providers to identify the patients at risk and treating them early. We also conclude that awareness of such diseases regarding symptoms and progression through educational programmes will help in better maternal and child postnatal care.

Keywords

Hamilton Anxiety Rating Scale (HARS), Edinburgh Postnatal Depression Rating Scale (EPDS), Patient Health Related Questionnaire (PHQ).

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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