Effects of antenatal depression screening and intervention among Chinese high-risk pregnant women with medically defined complications: A randomized controlled trial

Factors associated with depression during pregnancy in women receiving high- and low-risk prenatal care: a predictive model

Introduction

Depression during pregnancy can put strain on pregnant women's interpersonal relationships, the formation of emotional bonds with the fetus, and the adaptation to the new routine and social role post-pregnancy. Some studies have associated socioeconomic factors, emotional factors, interpersonal relationships, perceived social support, gestational risk, and the occurrence of certain diseases during pregnancy with higher risk of depression.

Objectives

This study aimed to investigate the prevalence of depression during pregnancy and associated factors in low- and high-risk prenatal patients at a Brazilian university hospital.

Methods

This study presents a retrospective and prospective cross-sectional design. A total of 684 prenatal psychological analysis records from a Brazilian tertiary university service were retrospectively evaluated to assess depression through the PRIME-MD questionnaire between 2002-2017. Between 2017 and 2018, 76 patients treated at the same service were prospectively evaluated with the aforementioned instrument. Medical records were accessed to obtain labor and birth data. Multivariate analyses assessed the association between sociodemographic, gestational or obstetric, and health variables and the presence of depression during pregnancy.

Results

A total of 760 pregnant women were included in the study, with a depression prevalence of 20.66% (n = 157). At the time of assessment, 48 (21.05%) women from the low-risk pregnancy group and 109 (20.49%) from the high-risk pregnancy group were depressed. The mean age was 30.01 ± 6.55 years in the group with depression and 29.81 ± 6.50 years in the group without depression. In the univariate analysis, there was an association of risk for depression with absence of paid work, absence of a partner, low family income and diagnosis of epilepsy, being a protective factor the presence of diabetes during pregnancy. However, in the multivariate analysis, a lower family income, not having a partner at the time of the assessment, and the prevalence of epilepsy were independently associated with an increased risk of depression during pregnancy.

Conclusion

This study showed that 1 in 5 women had depression during pregnancy, with no association with obstetric risk, but those women living in unfavorable economic conditions, without a partner, and having epilepsy were at increased risk of depression.

Efficacy of in-person versus digital mental health interventions for postpartum depression: meta-analysis of randomized controlled trials

AIM

This meta-analysis aimed to compare the efficacy of in-person and digital mental health interventions in addressing Postpartum Depression.

METHODS

Following PRISMA guidelines, the protocol for this meta-analysis was registered at the Open Science Framework (Retrieved from osf.io/wy3s4). This meta analysis included Randomized Controlled Trials (RCTs) conducted between 2013 and 2023. A comprehensive literature search identified 35 eligible RCTs from various electronic databases. Inclusion criteria focused on pregnant women over 18 years old, encompassing antenatal depression and up to two years postpartum. Diagnostic interviews or Edinburgh Postnatal Depression Scale (EPDS) were used to establish PPD. Digital interventions included telephonic, app-based, or internet-based approaches, while in-person interventions involved face-to-face sessions.

RESULTS

The meta-analysis revealed a moderate overall effect size of -0.69, indicating that psychological interventions are effective for PPD. Digital interventions (g = -0.86) exhibited a higher mean effect size than in-person interventions (g = -0.55). Both types of interventions displayed substantial heterogeneity (digital: I2 = 99%, in-person: I2 = 92%), suggesting variability in intervention content, delivery methods, and participant characteristics.

CONCLUSION

Digital mental health interventions show promise in addressing PPD symptoms, with a potentially greater effect size compared to in-person interventions. However, the high heterogeneity observed in both modalities underscores the need for further research to identify key drivers of success and tailor interventions to diverse populations. Additionally, the choice between digital and in-person interventions should consider individual needs and preferences. Ongoing research should further investigate and optimise intervention modalities to better serve pregnant women at risk of PPD.

Postpartum Depression Screening Scale: Its Availability for Use

OBJECTIVE

A silent health crisis in the United States is the underdiagnosed and undertreated mental health of women related to childbirth. This discussion paper describes the Postpartum Depression Screening Scale (PDSS) with its scoring and interpretation along with its psychometric testing and translations.

METHOD

In addition to the studies conducted by the instrument developers, databases were searched for studies where other researchers used the PDSS to assess postpartum depressive symptoms. Studies were included that measured the psychometrics of the scale and studies that reported the translation of the PDSS into other languages.

RESULTS

Evidence is presented that the PDSS is a reliable and valid screening scale for use by psychiatric mental health nurses and other health care providers. The scale also has been translated into 14 languages, so it is available to screen non-English speaking mothers.

CONCLUSION

Childbirth is one of the most powerful triggers of psychiatric illness in a woman's life. Postpartum depression is a treatable mental health condition, but first, women need to be screened so they can be identified and referrals made. Screening for this devastating mood disorder in new mothers is an essential role of psychiatric mental health nurses and other clinicians so that treatment can be started as early as possible to avoid harmful consequences.

Psychological treatment of perinatal depression: a meta-analysis

BACKGROUND

Depression during pregnancy and after the birth of a child is highly prevalent and an important public health problem. Psychological interventions are the first-line treatment and, although a considerable number of randomized trials have been conducted, no recent comprehensive meta-analysis has evaluated treatment effects.

METHODS

We used an existing database of randomized controlled trials of psychotherapies for adult depression and included studies aimed at perinatal depression. Random effects models were used in all analyses. We examined the effects of the interventions in the short and long term, and also examined secondary outcomes.

RESULTS

Forty-three studies with 49 comparisons and 6270 participants between an intervention and control group were included. The overall effect size was g = 0.67 [95% confidence interval (CI) 0.45~0.89; numbers needed-to-be-treated = 4.39] with high heterogeneity (I² = 80%; 95% CI 75~85). This effect size remained largely unchanged and significant in a series of sensitivity analyses, although some publication bias was found. The effects remained significant at 6-12 months follow-up. Significant effects were also found for social support, anxiety, functional limitations, parental stress and marital stress, although the number of studies for each outcome was low. All results should be considered with caution because of the high levels of heterogeneity in most analyses.

CONCLUSIONS

Psychological interventions are probably effective in the treatment of perinatal depression, with effects that last at least up to 6-12 months and probably also have effects on social support, anxiety, functional impairment, parental stress, and marital stress.

Discuss the Application of Data Services in Data Health Management of High-Risk Pregnant and Lying-In Women in Smart Medical Care

Objective

In order to improve the refined management of hospitals, promote the scientific development of smart hospitals in medical institutions, and solve the problem of data filling and reporting that is increasing year by year in the country, province, and city.

Methods

A total of 84 high-risk pregnant women admitted to our hospital from January 2020 to October 2021 were selected and screened for high-risk pregnant women. Risk pregnant women were divided into a routine intervention group and a DS medical group, with 42 cases in each group. High-risk pregnant women in the routine intervention group received routine intervention, and the DS medical group applied data to serve smart medical services on the basis of routine intervention. The scores of self-care, anxiety, and depression were compared between the two groups, the coping styles were analyzed, the satisfaction rate and incidence of adverse conditions of the high-risk puerperae were recorded, and the delivery methods of the two groups were compared.

Results

After the intervention, the activities of daily living, follow-up, fetal monitoring, and self-protection behaviors in the DS medical group were higher than those in the routine intervention group, and the difference was statistically significant (P < 0.05). The scores of anxiety and depression in the group were lower, with statistical significance (P < 0.05); after the intervention, the scores of negative coping styles in the DS medical group were lower than those in the conventional intervention group, while the scores for positive coping styles were higher than those in the conventional intervention group; the DS medical group had higher risk. The satisfaction of pregnant women was significantly higher than that of the routine intervention group, and the difference was statistically significant (P < 0.05); the overall incidence of adverse maternal outcomes among high-risk pregnant women in the DS medical group was lower than that of the routine intervention group, and the difference was not statistically significant (P > 0.05). Compared with the routine group, the DS medical group had a higher number of vaginal deliveries and a lower number of cesarean deliveries, and the difference was statistically significant (P < 0.05).

Conclusion

The application of data services in a smart medical high-risk maternity-related data management platform enables the promotion of high-risk pregnant women's self-care behaviors and improves negative emotions, enables them to cooperate in delivery with positive behaviors, and reduces the number of cases of cesarean delivery.

Risk of depression in pregnancy among pregnant women undergoing high-risk prenatal care

OBJECTIVE

to identify the risk of depression in pregnancy among pregnant women undergoing follow-up in high-risk prenatal care, to assess the factors associated with higher risk of depression in pregnancy and to compare the risk of depression in each gestational trimester.

METHOD

this is a descriptive, correlational, cross-sectional study, conducted with 151 pregnant women in prenatal care in a high-risk pregnancy outpatient clinic at a university hospital in the state of São Paulo, Brazil. Data were collected through an online form. Chi-square and Fisher's exact tests were performed. After the bivariate analysis, the variables were included in the logistic regression model. In the final model, the Odds Ratio was calculated.

RESULTS

118 (78.1%) pregnant women had a higher risk of depression during pregnancy, which was higher in the first trimester, but without statistical significance. The number of pregnancies (OR = 0.32) and marital status (OR = 0.07) remained significantly associated with higher risk of depression during pregnancy as protective factors.

CONCLUSION

the results elucidate the importance of screening for depression risk and the significant need to improve access to effective interventions for preventing prenatal depression and promoting mental health.

The effect of nonpharmacological interventions on the mental health of high-risk pregnant women: A systematic review

OBJECTIVES

To evaluate the effect of nonpharmacological interventions on the mental health of high-risk pregnant women.

METHODS

This review followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses 2020 (PRISMA) statement. The Cochrane Library, Embase, CINAHL, PubMed and Web of Science databases were systematically searched for randomized controlled trials and quasi-randomized controlled trials from inception to April 2021. The quality of the studies was assessed using the Cochrane Risk of Bias Tool 2.0. Data were independently extracted and narratively synthesized.

RESULTS

Fifteen studies involving 1723 pregnant women were selected. Nonpharmacological interventions included cognitive behavioral interventions, yoga, relaxation interventions, psychological and educational support interventions, and acupressure. Cognitive behavioral interventions and yoga for high-risk pregnant women had potential benefits on the symptoms of anxiety, stress and depression. There was insufficient evidence that relaxation interventions, psychological and educational support interventions and acupressure had positive effects on these women's mental health.

CONCLUSIONS

This review showed that cognitive behavioral interventions and yoga during pregnancy may benefit women with high-risk pregnancies. However, due to methodological limitations of this review, further studies with robust methodological designs are needed to verify the efficacy.

Is collaborative care a key component for treating pregnant women with psychiatric symptoms (and additional psychosocial problems)? A systematic review

Mental disorders during pregnancy are common, with long-lasting negative effects on mother and child. Treatment of these women is challenging, because of the high incidence of additional psychosocial problems and barriers on population and healthcare level. Collaborative care, collaboration between mental health and obstetric care professionals, may help to overcome these problems. The aim of this review is to review antenatal mental health interventions and analyse the impact of collaborative care. Two independent reviewers searched for RCT's in PubMed, Embase and PsycINFO. Trials studying the effect of psychological or pharmacological interventions on the mental health of pregnant women with psychiatric symptoms (and psychosocial problems) were eligible for inclusion. Two reviewers independently abstracted data and assessed study quality and risk of bias. Each study was scored on collaborative care criteria: multi-professional approach to patient care, structured management plan, scheduled patient follow-ups and enhanced interprofessional communication. Thirty-five studies were included. Most trials studied the effect of cognitive behavioural therapy and interpersonal psychotherapy on antenatal depression. Almost all interventions met at least one collaborative care criteria. Interventions were mostly provided by multiple professionals, but interprofessional communication rarely took place. Interventions that met more criteria did not more often show a positive effect on maternal mental health. There is lack of research on antenatal psychiatric disorders other than depressive and on long-term treatment outcomes. Collaborative care is partly implemented in most current interventions, but more trials (including interprofessional communication) are needed to be conclusive whether collaborative care is a key component in antenatal mental healthcare.

Risco de depressão na gravidez entre gestantes inseridas na assistência pré-natal de alto risco

RESUMO Objetivo: identificar o risco de depressão na gravidez entre gestantes em acompanhamento na assistência pré-natal de alto risco, avaliar os fatores associados ao maior risco de depressão na gravidez e comparar o risco de depressão em cada trimestre gestacional. Método: estudo descritivo, correlacional, transversal, realizado com 151 gestantes em acompanhamento pré-natal em ambulatório de gestação de alto risco de um hospital universitário no estado de São Paulo, Brasil. Os dados foram coletados por um formulário online. Foram realizados os Testes do Qui-Quadrado e Exato de Fisher. Após a análise bivariada, as variáveis foram incluídas no modelo de regressão logística. No modelo final, foi calcula a Razão de Chances. Resultados: 118 (78,1%) gestantes apresentaram maior risco de depressão na gravidez, o qual foi maior no primeiro trimestre, mas sem significância estatística. O número de gestações (OR = 0,32) e o estado civil (OR = 0,07) permaneceram associados significativamente ao maior risco de depressão na gravidez como fatores de proteção. Conclusão: os resultados elucidam a importância do rastreamento do risco de depressão e a necessidade significativa de melhorar o acesso a intervenções eficazes para prevenção da depressão pré-natal e promoção da sua saúde mental.

The development and application of a prediction model for postpartum depression: optimizing risk assessment and prevention in the clinic

BACKGROUND

Preventive intervention can significantly reduce the human and economic costs of postpartum depression (PPD) compared with treatment post-diagnosis. However, identifying women with a high PPD risk and making a judgement as to the benefits of preventive intervention is a major challenge.

METHODS

This is a retrospective study of parturients that underwent a cesarean delivery. Control group was used as development cohort and validation cohort to construct the risk prediction model of PPD and determine a risk threshold. Ketamine group and development cohort were used to verify the risk classification of parturients by evaluating whether the incidence of PPD decreased significantly after ketamine treatment in high-risk for PPD population.

RESULTS

The AUC for the development cohort and validation cohort of the PPD prediction model were 0.751 (95%CI:0.700-0.802) and 0.748 (95%CI:0.680-0.816), respectively. A threshold of 19% PPD risk probability was determined, with a specificity and sensitivity in the validation cohort are 0.766 and 0.604, respectively. After matching the high-risk group and the low-risk group by propensity score, the results demonstrated that PPD incidence significantly reduced in the high-risk group following ketamine, versus non-ketamine, intervention (p < 0.01). In contrast, intervention in the low-risk group showed no significant difference in PPD outcomes (p > 0.01).

LIMITATION

Randomized trials are needed to further verify the feasibility of the model and the thresholds proposed.

CONCLUSION

This prediction model developed in this study shows utility in predicting PPD risk. Ketamine intervention significantly lowers PPD incidence in parturients with a risk classification threshold greater than 19%.

Randomized Clinical Trial of a Prenatal Breastfeeding and Mental Health Mixed Management Intervention

BACKGROUND

The continuity of maternal depressive symptoms throughout the perinatal period and breastfeeding problems have adverse influences on breastfeeding.

RESEARCH AIM

To compare the feeding patterns and breastfeeding experiences, maternal health and mental health, and breastfeeding self-efficacy between women with depressive symptoms who participated in a prenatal individualized mixed management intervention and those who received usual care.

METHODS

Chinese primigravida (N = 182) with an Edinburgh Postnatal Depression Scale score ≥ 9 in late pregnancy (≥ 28 weeks and < 35 weeks) were randomly assigned to the intervention group (n = 84) or the control group (n = 84). Intervention group participants received four sessions of individualized mixed management combining psycho-education and breastfeeding education. Breastfeeding self-efficacy, feeding patterns, maternal depression, and health status were evaluated in both groups.

RESULTS

Significant differences were noted between the groups in breastfeeding self-efficacy at 42 days postpartum (p < .05) and feeding patterns at 3 months and 6 months postpartum (p < .05). Repeated measures analysis of variance showed significant differences in the EPDS scores between groups at three postpartum time points (p < .05). The intervention group had significantly lower postpartum depression as diagnosed by the MINI (p < .05).

CONCLUSIONS

A prenatal individualized mixed management intervention holds promise as an effective prevention and health promotion program addressing breastfeeding outcomes and maternal mental health.This RCT was registered (ChiCTR-IOR-17013761) with Chinese Clinical Trial Registry, http://www.chictr.org.cn/enIndex.aspx on 12/7/2017.

An evaluation of a prenatal individualised mixed management intervention addressing breastfeeding outcomes and postpartum depression: A ramdomised controlled trial

AIMS AND OBJECTIVES

To determine the effects of an individualised mixed management combined lactation education and psychoeducation intervention on breastfeeding outcomes and postpartum depression (PPD) at 3 and 42 days postpartum.

BACKGROUND

Pregnant women with antenatal depression are prone to postpartum depression and failure in breastfeeding.

DESIGN

Eligible women participated in a randomised single-blind controlled trial. Results are reported as per the CONSORT 2010 statement.

METHODS

Participants were recruited from December 2017-August 2018 at a major teaching hospital located in Shanghai. Primiparous women (n = 182) with an Edinburgh Postnatal Depression Scale score ≥9 were randomly enrolled in the intervention group (n = 91) or the control group (n = 91). The intervention group participated in a 4-session face-to-face mixed management intervention targeting perinatal depression and breastfeeding. The control group received usual care. Breastfeeding and psychological outcomes were measured during the third trimester (≥28 weeks and <35 weeks), and at 3 and 42 days postpartum.

RESULTS

There were statistically significant differences in rates of overall and exclusive breastfeeding, initial breastfeeding experience, breastfeeding behaviour and self-efficacy between the two groups at 3 and 42 days postpartum (p < .05). Intention-to-treat linear mixed model analysis showed that EPDS scores were statistically significantly different between groups over time (F = 20.42, p < .001). Intervention group were more satisfied with their husbands' care and care received during the first month postpartum (p < .05).

CONCLUSIONS

The results demonstrate the effectiveness and feasibility of delivering an individualised mixed management intervention combining lactation guidance with psychological support during pregnancy.

RELEVANCE TO CLINICAL PRACTICE

This study supports the need to identify pregnant women at risk of perinatal depression and indicates that the prenatal individualised mixed management intervention has the potential to reduce PPD and help achieve better breastfeeding outcomes.

Mental Health Outcomes in Perinatal Women During the Remission Phase of COVID-19 in China

BACKGROUND

Since the middle of March, the COVID-19 outbreak has been well contained in China. The prevention and control measures for the outbreak have been downgraded to a normalized level. However, until now, the change in level of psychological health amongst perinatal women during the remission phase of the COVID-19 outbreak has not been investigated in China. The aim of this current study was to assess the symptoms of anxiety, depression, insomnia and quality of life (QOL) in perinatal women and to identify potential risk factors associated with these symptoms.

METHODS

This was a cross-sectional, hospital-based survey conducted between March 25^th till June 5^th, 2020 in southern China. Convenient sampling method was adopted. Women's anxiety, depression, insomnia symptoms and QOL was examined through standardized measurements. Multivariate logistic regression and Analysis of Covariance (ANCOVA) was conducted for the same.

RESULTS

A total of 625 perinatal women completed the study; of them, 195 women (31.2%, 95%CI=27.56%-34.84%) reported anxiety, 120 (19.2%, 95%CI=16.10%-22.30%) reported depression, and 87 (13.9%, 95%CI=11.20%-16.64%) experienced symptoms of insomnia. Previous adverse experiences during pregnancy was a significant risk factor for anxiety (OR=1.628, 95%CI=1.069-2.480, P=0.023), depression (OR=1.853, 95%CI=1.153-2.977, P=0.011), and insomnia (OR=2.160, 95%CI=1.290-3.616, P=0.003). Participants having infected friends/families/colleagues were more likely to report anxiety (OR=2.195, 95%CI=1.245-3.871, P=0.007) and depression (OR=2.666, 95%CI=1.482-4.794, P=0.001). Those women whose regular check-ups were severely interrupted by the COVID-19 were also more likely to experience symptoms of anxiety (OR=2.935, 95%CI=1.701-5.062, P<0.001) and insomnia (OR=2.195, 95%CI=1.098-4.390, P=0.026).

CONCLUSION

The COVID-19 pandemic does affect the mental health and well being of perinatal women. Increased attention should be paid to women who have infected friends/families/colleagues and those with previous adverse experiences during pregnancy. Coping strategies that relieve psychological stress during the COVID-19 outbreak should be provided to prevent adverse outcomes for women and their infants.