BackgroundDepression is the most common and disabling mental illness in the globe. It accounts for about 6.5% of the burden of diseases in Ethiopia. Regardless of its severity and relapse rate, there are no synthesized evidences about its prevalence and potential risk factors in Ethiopia. The aim of this review was thus to synthesize scientific information about the prevalence and potential risk factors of depression in Ethiopia.MethodsOut of 37 papers, 31 were collected from PubMed, Medline and Google Scholar electronic databases, and the remaining six from Addis Ababa University, Department of Psychiatry. But, 13 articles were removed after reading the titles; five after reading the abstracts and two after reading the manuscripts and five of them were duplicates. Finally, 12 papers were reviewed and the pooled prevalence was also computed.ResultsThe pooled prevalence of depression for the five studies, which had used Composite International Diagnostic Interview (CIDI), was 6.8% (95%, CI: 6.4–7.3); but, it increased to 11% (95% CI: 10.4–11.5) when three other studies that had used other screening tools were included. Demographic variables such as sex, age, marital status, violence, migration and substance use were associated with depression, but not with economic factors.ConclusionsMore attention should be given to socio-demographic risk factors and intimate partner violence, since they are potential risk factors of depression. The prevalence of depression in Ethiopia was also found comparable to that of some high-income countries.
BackgroundDepressive symptoms during pregnancy can have multiple adverse effects on perinatal outcomes, including maternal morbidity and mortality. The potential impact of antenatal depressive symptoms on maternal health care use, however, has been little explored in low and middle-income countries (LMICs). This paper investigates whether maternal health care utilisation varies as a function of antenatal depressive symptoms.MethodsIn a population-based cross-sectional survey, 1311 women in the second or third trimesters of pregnancy were recruited in Sodo district, Gurage Zone, southern Ethiopia. Depressive symptoms were measured using a locally validated version of the Patient Health Questionnaire (PHQ-9). The association between antenatal depressive symptoms and number of antenatal care (ANC) visits was examined using Poisson regression and the association of depression symptoms with emergency health care visits using negative binomial regression. Binary logistic regression was used to investigate the association of depressive symptoms with initiation, frequency and adequacy of antenatal care.ResultsAt PHQ-9 cut off of five or more, 29.5 % of participants had depressive symptoms. The majority (60.5 %) of women had attended for one or more ANC visits. Women with depressive symptoms had an increased risk of having more non-scheduled ANC visits (adjusted Risk Ratio (aRR) = 1.41, 95 % CI: 1.20, 1.65), as well as an increased number of emergency health care visits to both traditional providers (aRR = 1.64, 95 % CI: 1.17, 2.31) and biomedical providers (aRR = 1.31, 95 % CI: 1.04, 1.69) for pregnancy-related emergencies. However, antenatal depressive symptoms were not significantly associated with initiation of ANC.ConclusionsIncreased non-scheduled ANC and emergency health care visits may be indicators of undetected depression in antenatal women, and have the potential to overwhelm the capacity and resources of health care systems, particularly in LMICs. Establishment of a system for detection, referral and treatment of antenatal depression, integrated within existing antenatal care, may reduce antenatal morbidity and treatment costs and promote efficiency of the health care system.
BackgroundAntenatal depressive symptoms affect around 12.3% of women in in low and middle income countries (LMICs) and data are accumulating about associations with adverse outcomes for mother and child. Studies from rural, low-income country community samples are limited. This paper aims to investigate whether antenatal depressive symptoms predict perinatal complications in a rural Ethiopia setting.MethodsA population-based prospective study was conducted in Sodo district, southern Ethiopia. A total of 1240 women recruited in the second and third trimesters of pregnancy were followed up until 4 to 12 weeks postpartum. Antenatal depressive symptoms were assessed using a locally validated version of the Patient Health Questionnaire (PHQ-9) that at a cut-off score of five or more indicates probable depression. Self-report of perinatal complications, categorised as maternal and neonatal were collected by using structured interviewer administered questionnaires at a median of eight weeks post-partum. Multivariate analysis was conducted to examine the association between antenatal depressive symptoms and self-reported perinatal complications.ResultA total of 28.7% of women had antenatal depressive symptoms (PHQ-9 score ≥ 5). Women with antenatal depressive symptoms had more than twice the odds of self-reported complications in pregnancy (OR=2.44, 95% CI: 1.84, 3.23), labour (OR= 1.84 95% CI: 1.34, 2.53) and the postpartum period (OR=1.70, 95% CI: 1.23, 2.35) compared to women without these symptoms. There was no association between antenatal depressive symptoms and pregnancy loss or neonatal death.ConclusionAntenatal depressive symptoms are associated prospectively with self-reports of perinatal complications. Further research is necessary to further confirm these findings in a rural and poor context using objective measures of complications and investigating whether early detection and treatment of depressive symptoms reduces these complications.
Background There have been few studies to examine antenatal predictors of incident postnatal depression, particularly in low- and middle-income countries (LMICs). The aim of this study was to investigate antenatal predictors of incident and persistent maternal depression in a rural Ethiopian community in order to inform development of antenatal interventions. Method A population-based prospective study was conducted in Sodo district, south central Ethiopia. A locally validated version of the Patient Health Questionnaire (PHQ-9) was used to assess antenatal (second and third trimesters) and postnatal (4–12 weeks after childbirth) depressive symptoms, with a PHQ-9 cut-off of five or more indicating high depressive symptoms. Poisson regression with robust standard errors was used to identify independent predictors of persistence and incidence of postnatal depressive symptoms from a range of antenatal, clinical and psychosocial risk factors. Result Out of 1311 women recruited antenatally, 1240 (356 with and 884 without antenatal depressive symptoms) were followed up in the postnatal period. Among 356 women with antenatal depressive symptoms, the elevated symptoms persisted into postnatal period in 138 women (38.8%). Out of 884 women without antenatal depressive symptoms, 136 (15.4%) experienced incident elevated depressive symptoms postnatally. The prevalence of high postnatal depressive symptoms in the follow-up sample was 274 (22.1%). Higher intimate partner violence scores in pregnancy were significantly associated with greater risk of incident depressive symptoms [adjusted Risk Ratio (aRR) = 1.06, 95% CI: 1.00, 1.12]. Each 1-point increment in baseline PHQ-9 score predicted an increased risk of incidence of postnatal depressive symptoms (aRR = 1.29, 95% CI: 1.15, 1.45). There was no association between self-reported pregnancy complications, medical conditions or experience of threatening life events with either incidence or persistence of depressive symptoms. Conclusion Psychological and social interventions to address intimate partner violence during pregnancy may be the most important priorities, able to address both incident and persistent depression. Electronic supplementary material The online version of this article (10.1186/s12978-019-0690-0) contains supplementary material, which is available to authorized users.
Background Depression is one of the commonest mental disorders in primary care but is poorly identified. The objective of this review was to determine the level of detection of depression by primary care clinicians and its determinants in studies from low- to middle-income countries (LMICs). Methods A systematic review and meta-analysis was conducted using PubMed, PsycINFO, MEDLINE, EMBASE, LILAC, and AJOL with no restriction of year of publication. Risk of bias within studies was evaluated with the Effective Public Health Practice Project (EPHPP). “Gold standard” diagnosis for the purposes of this review was based on the 9-item Patient Health Questionnaire (PHQ-9; cutoff scores of 5 and 10), other standard questionnaires and interview scales or expert diagnosis. Meta-analysis was conducted excluding studies on special populations. Analyses of pooled data were stratified by diagnostic approaches. Results A total of 3159 non-duplicate publications were screened. Nine publications, 2 multi-country studies, and 7 single-country studies, making 12 country-level reports, were included. Overall methodological quality of the studies was good. Depression detection was 0.0% in four of the twelve reports and < 12% in another five. PHQ-9 was the main tool used: the pooled detection in two reports that used PHQ-9 at a cutoff point of 5 (combined sample size = 1426) was 3.9% (95% CI = 2.3%, 5.5%); in four reports that used PHQ-9 cutoff score of 10 (combined sample size = 5481), the pooled detection was 7.0% (95% CI = 3.9%, 10.2%). Severity of depression and suicidality were significantly associated with detection. Conclusions While the use of screening tools is an important limitation, the extremely low detection of depression by primary care clinicians poses a serious threat to scaling up mental healthcare in LMICs. Interventions to improve detection should be prioritized. Systematic review registration PROSPERO CRD42016039704.
Background: Psychological interventions for antenatal depression are an integral part of evidence-based care but need to be contextualised for respective sociocultural settings. In this study, we aimed to understand women and healthcare workers' (HCWs) perspectives of antenatal depression, their treatment preferences and potential acceptability and feasibility of psychological interventions in the rural Ethiopian context. Methods: In-depth interviews were conducted with women who had previously scored above the locally validated cutoff (five or more) on the Patient Health Questionnaire during pregnancy (n = 8), primary healthcare workers (HCWs; nurses, midwives and health officers) (n = 8) and community-based health extension workers (n = 7). Translated interview transcripts were analysed using thematic analysis. Results: Women expressed their distress largely through somatic complaints, such as a headache and feeling weak. Facility and community-based HCWs suspected antenatal depression when women reported reduced appetite, sleep problems, difficulty bonding with the baby, or if they refused to breast-feed or were poorly engaged with antenatal care. Both women and HCWs perceived depression as a reaction ("thinking too much") to social adversities such as poverty, marital conflict, perinatal complications and losses. Depressive symptoms and social adversities were often attributed to spiritual causes. Women awaited God's will in isolation at home or talked to neighbours as coping mechanisms. HCWs' motivation to provide help, the availability of integrated primary mental health care and a culture among women of seeking advice were potential facilitators for acceptability of a psychological intervention. Fears of being seen publicly during pregnancy, domestic and farm workload and staff shortages in primary healthcare were potential barriers to acceptability of the intervention. Antenatal care providers such as midwives were considered best placed to deliver interventions, given their close interaction with women during pregnancy.
BackgroundUptake of delivery and postnatal care remains low in Low and Middle-Income Countries (LMICs), where 99% of global maternal deaths take place. However, the potential impact of antenatal depression on use of institutional delivery and postnatal care has seldom been examined. This study aimed to examine whether antenatal depressive symptoms are associated with use of maternal health care services.MethodsA population-based prospective study was conducted in Sodo District, Southern Ethiopia. Depressive symptoms were assessed during pregnancy with a locally validated, Amharic version of the Patient Health Questionnaire (PHQ-9). A cut off score of five or more indicated possible depression. A total of 1251 women were interviewed at a median of 8 weeks (4–12 weeks) after delivery. Postnatal outcome variables were: institutional delivery care utilization, type of delivery, i.e. spontaneous or assisted, and postnatal care utilization. Multivariate logistic regression was used to examine the association between antenatal depressive symptoms and the outcome variables.ResultsHigh levels of antenatal depressive symptoms (PHQ score 5 or higher) were found in 28.7% of participating women. Nearly two-thirds, 783 women (62.6%), delivered in healthcare institutions. After adjusting for potential confounders, women with antenatal depressive symptoms had increased odds of reporting institutional birth [adjusted Odds Ratio (aOR) =1.42, 95% Confidence Interval (CI): 1.06, 1.92] and increased odds of reporting having had an assisted delivery (aOR = 1.72, 95% CI: 1.10, 2.69) as compared to women without these symptoms. However, the increased odds of institutional delivery among women with antenatal depressive symptoms was associated with unplanned delivery care use mainly due to emergency reasons (aOR = 1.62, 95% CI: 1.09, 2.42) rather than planning to deliver in healthcare institutions.ConclusionImproved detection and treatment of antenatal depression has the potential to increase planned institutional delivery and reduce perinatal complications, thus contributing to a reduction in maternal morbidity and mortality.
Objective: Depression is the commonest mental disorder in primary care but is poor identified. The objective of this review was to determine the level of detection of depression by primary care clinicians and its determinants in studies from low-and middleincome countries (LMICs). MethodsDesign: Systematic review and meta-analysis. Review protocol was registered in the PROSPERO database (CRD42016039704). Databases:PubMed, PsycINFO, Medline, EMBASE, LILAC and AJOL. Quality assessment: Risk of bias within studies evaluated with the Effective Public HealthPractice Project (EPHPP). Synthesis: "Gold standard" diagnosis for the purposes of this review were based on the 9item Patient Health Questionnaire (PHQ-9; cutoff scores of 5 and 10), structured interview or expert diagnosis. Meta-analysis was conducted excluding studies on special populations.Analysis of pooled data were stratified by diagnostic approaches.Results A total of 2223 non-duplicate publications were screened. Ten publications, from two multi-country studies and eight single country studies, making 18 country level reports, were included. One of the multi-country studies used an enriched sample of screen positive participants. Overall methodological quality of the studies was good. Depression detection was 0.0% in five reports and <12% in another five. The pooled detection for two reports that used PHQ-9 at a cutoff point of 5 (combined sample size = 1426) was 3.9% (95% CI = 2.3%, 5.5%); in the four reports that used PHQ-9 cutoff score of 10 (combined sample size =5481), the pooled detection was 7.0% (95% CI = 3.9%, 10.2%). For the enriched sample, the pooled detection was 43.5 % (95% CI: 25.7%, 61.0%). Severity of depression and suicidality were significantly associated with detection. ConclusionsThe extremely low detection of depression by primary care clinicians poses a serious threat to scaling up mental healthcare in LMICs. Interventions to improve detection should be prioritized. Strength and limitation of study► This is the first review of detection of depression in LMIC settings ► The review was comprehensive in terms of databases searched ► Screening tools were used as gold standards, which may lead to overestimation of prevalence and underestimation of detection ► The small number of studies and the use of different instruments and cutoff points precluded exploration of sources of heterogeneity ► The review does not include studies on distress or sub-threshold depression
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