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Rhetorical Analysis Of Individuality: The Healthy Middle?

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Rhetorical Analysis Of Individuality: The Healthy Middle?.

Abstract Background Perinatal common mental disorders are associated with significant adverse outcomes for women and their families, particularly in low- and middle-income settings.

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Early detection through screening with locally-validated tools can improve outcomes. We used bivariate and hierarchical summary receiver operating characteristic models to calculate pooled summary estimates of sensitivity and specificity. Heterogeneity was http://pinsoftek.com/wp-content/custom/human-swimming/richard-i-of-england-essays.php by visualising the distance of individual Individaulity: from the summary curve. Results Seven studies involving women were analysed. No validation studies of any other screening tools were identified.

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Conclusion The EPDS is psychometrically valid in diverse Indian settings and its use in routine maternity care could improve detection of perinatal depression. Further research is required to Indivduality: screening tools for other perinatal common mental disorders in India.

Peer Review reports Background Globally, mental health disorders are among the greatest contributors to maternal morbidity and mortality, with low- and middle-income countries LMIC carrying the greatest burden [ 1 ]. Common mental disorders CMD refer to depressive and anxiety disorders, which represent the most prevalent categories of mental health disorders [ 2 ].

CMD experienced in the perinatal period during pregnancy or the first twelve months post-partum are associated with significant and potentially long-term consequences for women and their families [ 3 ].

Rhetorical Analysis Of Individuality: The Healthy Middle?

In LMIC in particular, infants of mothers with mental disorders have a higher risk of adverse physical, cognitive and behavioural outcomes including low birthweight, stunting, infectious illnesses and delayed development [ 34 ]. Early detection and treatment of perinatal CMD Rhetorical Analysis Of Individuality: The Healthy Middle? essential to minimise adverse effects and improve outcomes for women and their families [ 78 ]. However, stigma around mental health disorders, competing clinical priorities, a lack of expertise, no systematic means of detection and poor mental health service infrastructure mean that in many LMICs women with mental disorders remain unidentified, unsupported and untreated. Screening for CMD symptoms offers a systematic and efficient means of identifying women likely to have mental health disorders [ 78 ].

Rhetorical Analysis Of Individuality: The Healthy Middle?

Without formal validation, the reliability of screening tools in a setting or population different from that in which the tool was developed Hexlthy not guaranteed. Screening with an inappropriately high threshold risks under-detection of women with CMD, while a threshold that is too low risks creating high levels of demand, placing strain on already over-burdened health systems [ 10 ]. Furthermore, the lack of validation brings into question the reliability of prevalence estimates from a variety of settings, as most prevalence studies rely on the use of screening tools to determine caseness. A previous review of screening tools for CMD highlighted a shortage of validation studies from LMIC, with particular gaps in screening tools for anxiety disorders [ 11 ].

Background

Stigma towards mental disorders remains widespread nationally, and women living in socio-economic deprivation, those experiencing intimate partner violence and those with low societal status source at particularly high risk of perinatal mental disorders [ 1415 ].

Although there have been initiatives to improve maternal health, there has been less focus on maternal mental health and services in this area are lacking [ 14 ]. There is no screening initiative recommended for routine use in maternity services [ 13 ].

Without a systematic synthesis of Indian validation studies there remains uncertainty around which screening tools might be suitable for use in perinatal populations in India. The full search strategy is detailed in the Additional file 1.]

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