Identifying perinatal depression and anxiety: evidence based practice in screening, psychosocial assessment and management

Cust, Fiona

doi:10.1080/02646838.2017.1315633

Cited by 3 publications

(3 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The disease burden related to PND to pregnant women, their children, families, and society is huge and constantly rising ( 10 ), and it cannot be ignored. A UK report ( 11 ) has shown that depressed women spend 87% more on medical services than non-depressed women. In the UK, the total lifetime cost per depressed mother is estimated to be £75,728.…”

Section: Introductionmentioning

confidence: 99%

“…Tracking the knock-on effects in public sector costs, the cost per child of a mother with PND exceeds £3,030 (2010–2011 prices), the cost of reduced household income is £1,400, and the cost of health-related quality of life loss is estimated at £3,760. These reports highlight the widespread and lasting consequences of PND for women, their families, and society ( 11 ).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Decision tree-Markov model of perinatal depression screening: a cost–utility analysis

Yang,

Zheng,

Yang

et al. 2024

Front. Public Health

View full text Add to dashboard Cite

BackgroundPerinatal depression affects the physical and mental health of pregnant women. It also has a negative effect on children, families, and society, and the incidence is high. We constructed a cost–utility analysis model for perinatal depression screening in China and evaluated the model from the perspective of health economics.MethodsWe constructed a Markov model that was consistent with the screening strategy for perinatal depression in China, and two screening strategies (screening and non-screening) were constructed. Each strategy was set as a cycle of 3 months, corresponding to the first trimester, second trimester, third trimester, and postpartum. The state outcome parameters required for the model were obtained based on data from the National Prospective Cohort Study on the Mental Health of Chinese Pregnant Women from August 2015 to October 2016. The cost parameters were obtained from a field investigation on costs and screening effects conducted in maternal and child health care institutions in 2020. The cost–utility ratio and incremental cost–utility ratio of different screening strategies were obtained by multiplicative analysis to evaluate the health economic value of the two screening strategies. Finally, deterministic and probabilistic sensitivity analyses were conducted on the uncertain parameters in the model to explore the sensitivity factors that affected the selection of screening strategies.ResultsThe cost–utility analysis showed that the per capita cost of the screening strategy was 129.54 yuan, 0.85 quality-adjusted life years (QALYs) could be obtained, and the average cost per QALY gained was 152.17 yuan. In the non-screening (routine health care) group, the average cost was 171.80 CNY per person, 0.84 QALYs could be obtained, and the average cost per QALY gained was 205.05 CNY. Using one gross domestic product per capita in 2021 as the willingness to pay threshold, the incremental cost–utility ratio of screening versus no screening (routine health care) was about −3,126.77 yuan, which was lower than one gross domestic product per capita. Therefore, the screening strategy was more cost-effective than no screening (routine health care). Sensitivity analysis was performed by adjusting the parameters in the model, and the results were stable and consistent, which did not affect the choice of the optimal strategy.ConclusionCompared with no screening (routine health care), the recommended perinatal depression screening strategy in China is cost-effective. In the future, it is necessary to continue to standardize screening and explore different screening modalities and tools suitable for specific regions.

show abstract

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Decision tree-Markov model of perinatal depression screening: a cost–utility analysis

Yang,

Zheng,

Yang

et al. 2024

Front. Public Health

View full text Add to dashboard Cite

show abstract

“…Perinatal mental health (PMH) is a globally recognised public health problem [ 1 ], referring to women’s mental health from pregnancy to the first year after birth [ 2 ].Perinatal mental health problems (PMHP) refer to the range of mental disorders that women may encounter during this period, from anxiety and depression to more serious mental diseases [ 3 ].The consequences of PMHP in terms of deleterious outcomes for maternal, paternal, child and societal outcomes is internationally documented [ 4 ]. Women suffering from PMHP have lower self-esteem, higher levels of anger, poor interpersonal relationship, and higher suicidal and infanticide tendency [ 5 – 9 ].…”

Section: Introductionmentioning

confidence: 99%

Exploring the psychometric properties of the professional issues in maternal mental health scale (PIMMHS) in a Chinese population

Lin

Guo

Fang

et al. 2023

Health Qual Life Outcomes

View full text Add to dashboard Cite

Background The public health and economic implications of perinatal mental health problems are well documented. Maternity clinicians are ideally placed to effectively identify women at risk and facilitate early intervention. However, in China as globally a number of issues are implicated in a failure to recognise and treat. Aim The present study sought to develop and evaluate the Chinese version ‘professional issues in maternal mental health’ scale (PIMMHS), explore its psychometric properties and potential application. Methods A cross-sectional design and instrument translation and evaluation approach was taken to investigate the psychometric properties of the PIMMHS in a Chinese population. A total of 598 obstetricians, obstetric nurses, and midwives participated in this study from 26 hospitals across China. Findings The Chinese PIMMHS was not a good fit to the original two factor model. The emotion/communication subscale yielded an excellent fit to the data according to all fit indices, offering compelling evidence for a single factor solution. The training (PIMMHS: Training), proved problematic throughout the analysis with divergent validity for the training subscale also being poor with a concomitant impact on the total scale performance. The performance of this subscale may be related to the nature of medical training and PMH. Conclusion The Chinese PIMMHS comprises a unidimensional scale of emotion/ communication, which is simple and may provide insight into the emotional burden of providing PMH care, with the potential to mitigate that burden. Further development and investigation of the training sub-scale could be of value.

show abstract

Validation of the Edinburgh Postnatal Depression Scale against both DSM-5 and ICD-10 diagnostic criteria for depression

et al. 2018

View full text Add to dashboard Cite

BackgroundThe Edinburgh Postnatal Depression Scale (EPDS) is widely used in many countries to screen women for depression in the perinatal period. However, across studies the psychometric properties and cutoff scores of the EPDS have varied considerably; potentially due to different depression criteria and diagnostic systems being used. Therefore, we validated the Danish EPDS against a depression diagnosis according to both DSM-5 and ICD-10. Furthermore, we examined whether the Danish EPDS is multidimensional, as it has previously been suggested.MethodsWomen (N = 324) were recruited after routine screenings with the EPDS between 2 and 10 months postpartum (T1). At a subsequent home visit (T2), the EPDS and the Structured Clinical Interview for DSM-5 were administered. Diagnostic interviews were audio recorded to enable subsequent coding for ICD-10 diagnoses and inter-rater reliability analysis. A two-phase stratified sampling strategy with three sampling categories (EPDS-score at T1) was used. Using the distribution of 4931 T1 EPDS-scores from the same population from which we sampled the participants, we used sampling weighing to reweight the sample. The calculation of weights was based upon the mother’s sampling category at T1 (i.e. the probability of being sampled) and the weights were applied when assessing the receiver operation characteristics (ROCs) of the EPDS. Sensitivity, specificity, positive predictive value, negative predictive value and area under the ROC curve were computed from the reweighted data for all relevant cutoff values. CIs were computed by embedding the calculations in a weighted logistic regression. Exploratory factor analysis was done using oblique rotation. Parallel analysis was used to assess the number of factors.ResultsA score of 11 or more was found to be the optimal cutoff for depression according to both DSM-5 and ICD-10 criteria. Factor analysis suggested that the Danish EPDS consists of three factors, including an ‘anxiety factor’.ConclusionsThe Danish EPDS has reasonable sensitivity and specificity at a cutoff score of 11 or more. There are no notable differences with respect to using ICD-10 or DSM-5 criteria for depression in terms of optimal cutoff. The variation in cutoff scores is likely to be due to cultural variations in the expression of depressive symptoms.Electronic supplementary materialThe online version of this article (10.1186/s12888-018-1965-7) contains supplementary material, which is available to authorized users.

show abstract

Identifying perinatal depression and anxiety: evidence based practice in screening, psychosocial assessment and management

Cited by 3 publications

References 0 publications

Decision tree-Markov model of perinatal depression screening: a cost–utility analysis

Decision tree-Markov model of perinatal depression screening: a cost–utility analysis

Exploring the psychometric properties of the professional issues in maternal mental health scale (PIMMHS) in a Chinese population

Validation of the Edinburgh Postnatal Depression Scale against both DSM-5 and ICD-10 diagnostic criteria for depression

Contact Info

Product

Resources

About