scholarly journals Giving women WOICE postpartum: Prevalence of maternal morbidity in high-risk pregnancies using the WHO-WOICE instrument

2021 ◽  
Author(s):  
Martha Narvaez Lamus ◽  
Stephanie Lozano ◽  
Charles MPoca ◽  
Jose Paulo Guida ◽  
Mary Angela Parpinelli ◽  
...  

Abstract Background: There are no accurate estimates of the prevalence of non-severe maternal morbidities. Given the lack of instruments to fully assess these morbidities, the World Health Organization (WHO) developed an instrument called WOICE. Objective: To evaluate the prevalence of non-severe maternal morbidities in puerperal women and factors associated to impaired clinical, social and mental health conditions. Method: A cross-sectional study with postpartum women at a high-risk outpatient clinic in southeast Brazil, from November 2017 to December 2018. The WOICE questionnaire included three sections: the first with maternal and obstetric history, sociodemographic data, risk and environment factors, violence and sexual health; the second considers functionality and disability, general symptoms and mental health; and the third includes data on physical and laboratory tests. Data collection was supported by Tablets with REDCAP software. Initially, a descriptive analysis was performed, with general prevalence of all variables contained in the WOICE, including scales on anxiety and depression (GAD-7 and PHQ-9- impaired if ≥10), functionality (WHODAS- high disability scores when ≥37.4) and data on violence and substance use. Subsequently, an evaluation of cases with positive findings was performed, with a Poisson regression to investigate factors associated to impaired non-clinical and clinical conditions. Results: 517 women were included, majority (54.3%) multiparous, between 20 and 34 years (65.4%) and with a partner (75,6%). Over a quarter had (26.2%) preterm birth. Around a third (30.2%) reported health problems informed by the physician, although more than 80% considered having good or very good health. About 10% reported any substance use and 5.9% reported exposure to violence. Anxiety was identified in 19.8% of cases, depression in 36.9% and impaired functioning in 4.4% of women. Poisson regression identified that poor overall health rating was associated to increased anxiety/depression and impaired functioning. Having a partner reduced perception of women on the presence of clinical morbidities. Conclusion: During postpartum care of a high-risk population, over one third of the considered women presented anxiety and depression; 10% reported substance use and around 6% exposure to violence. These aspects of women´s health need further evaluation and specific interventions to improve quality of care.

2020 ◽  
Author(s):  
Martha Narvaez Lamus ◽  
Stephanie Lozano ◽  
Charles MPoca ◽  
Jose Paulo Guida ◽  
Mary Angela Parpinelli ◽  
...  

Abstract Background: There are no accurate estimates of the prevalence of non-severe maternal morbidities. Given the lack of instruments to fully assess these morbidities, the World Health Organization (WHO) developed an instrument called WOICE. Objective: To evaluate the prevalence of non-severe maternal morbidities in puerperal women and factors associated to impaired clinical, social and mental health conditions. Method: A cross-sectional study with postpartum women at a high-risk outpatient clinic in southeast Brazil, from November 2017 to December 2018. The WOICE questionnaire included three sections: the first with maternal and obstetric history, sociodemographic data, risk and environment factors, violence and sexual health; the second considers functionality and disability, general symptoms and mental health; and the third includes data on physical and laboratory tests. Data collection was supported by Tablets with REDCAP software. Initially, a descriptive analysis was performed, with general prevalence of all variables contained in the WOICE, including scales on anxiety and depression (GAD-7 and PHQ-9- altered if ≥10), functionality (WHODAS- altered when ≥37.4) and data on violence and substance use. Subsequently, an evaluation of cases with positive findings was performed, with a Poisson regression to investigate factors associated to impaired non-clinical and clinical conditions. Results: 517 women were included, majority (54.3%) multiparous, between 20 and 34 years (65.4%) and with a partner (75,6%). Over a quarter had (26.2%) preterm birth. Around a third (30.2%) reported health problems informed by the physician, although more than 80% considered having good or very good health. About 10% reported any substance use and 5.9% reported exposure to violence. Anxiety was identified in 19.8% of cases, depression in 36.9% and altered functioning in 4.4% of women. Poisson regression identified that poor overall health rating was associated to increased anxiety/depression and impaired functioning. Having a partner reduced perception of women on the presence of clinical morbidities. Conclusion: During postpartum care of a high-risk population, over one third of the considered women presented anxiety and depression; 10% reported substance use and around 6% exposure to violence. These aspects of women´s health need further evaluation and specific interventions to improve quality of care.


2019 ◽  
Author(s):  
Lamus MN ◽  
Stephanie Lozano ◽  
Charles CM ◽  
Guida JP ◽  
Parpinelli MA ◽  
...  

Abstract Background There are no accurate estimates of the prevalence of non-severe maternal morbidities. Given the lack of instruments to fully assess these morbidities, the World Health Organization (WHO) developed an instrument called WOICE. Objective To evaluate the prevalence of non-severe maternal morbidities in puerperal women and analyses factors associated to impaired clinical, social and mental health conditions. Method A cross-sectional study with 519 postpartum women in a single encounter 6 to 12 weeks postpartum. The WOICE questionnaire included three sections: the first with maternal and obstetric history, sociodemographic data, risk and environment factors, violence and sexual health; The second considers functionality and disability, general symptoms and mental health; and the third includes data on physical and laboratory tests. Data collection was supported by Tablets with REDCAP software. Initially, a descriptive analysis was performed, with general prevalence of all variables contained in the WOICE, including scales on anxiety and depression (GAD-7 and PHQ-9- altered if ≥10), functionality (WHODAS- altered when ≥37.4) and data on violence and substance use. Subsequently, an evaluation of cases with alterations was performed, with a logistic regression to investigate factors associated to impaired non-clinical and clinical conditions. Results 517 women were included, majority (54.3%) multiparous, ages between 20 and 34 years (65.4%) and with partner (75,6%). Over a quarter had (26.2%) preterm birth, however good perinatal outcomes. Around a third (30.2%) reported health problems informed by the physician, although more than 80% considered having good or very good health. About 10% reported any substance and 5.9% suffered violence. Anxiety was identified in 19.8% of cases, depression in 36.9% and altered functioning in 4.4% of women. Logistic regression identified that poor overall health rating was associated to increased anxiety/depression and impaired functioning. Having a partner reduces the perception of women on the presence of clinical morbidities. Conclusion During postpartum care, women presented high frequency of anxiety and depression and relevant frequency of substance use and violence. These aspects of women´s health need further evaluation and specific interventions to improve quality of care.


2020 ◽  
Author(s):  
Martha Narvaez Lamus ◽  
Stephanie Lozano ◽  
Charles MPoca ◽  
Jose Paulo Guida ◽  
Mary Angela Parpinelli ◽  
...  

Abstract BackgroundThere are no accurate estimates of the prevalence of non-severe maternal morbidities. Given the lack of instruments to fully assess these morbidities, the World Health Organization (WHO) developed an instrument called WOICE.ObjectiveTo evaluate the prevalence of non-severe maternal morbidities in puerperal women and analyses factors associated to impaired clinical, social and mental health conditions.MethodA cross-sectional study with 519 postpartum women in a single encounter 6 to 12 weeks postpartum. The WOICE questionnaire included three sections: the first with maternal and obstetric history, sociodemographic data, risk and environment factors, violence and sexual health; The second considers functionality and disability, general symptoms and mental health; and the third includes data on physical and laboratory tests. Data collection was supported by Tablets with REDCAP software. Initially, a descriptive analysis was performed, with general prevalence of all variables contained in the WOICE, including scales on anxiety and depression (GAD-7 and PHQ-9- altered if ≥ 10), functionality (WHODAS- altered when ≥ 37.4) and data on violence and substance use. Subsequently, an evaluation of cases with alterations was performed, with a logistic regression to investigate factors associated to impaired non-clinical and clinical conditions.Results517 women were included, majority (54.3%) multiparous, ages between 20 and 34 years (65.4%) and with partner (75,6%). Over a quarter had (26.2%) preterm birth, however good perinatal outcomes. Around a third (30.2%) reported health problems informed by the physician, although more than 80% considered having good or very good health. About 10% reported any substance and 5.9% suffered violence. Anxiety was identified in 19.8% of cases, depression in 36.9% and altered functioning in 4.4% of women. Logistic regression identified that poor overall health rating was associated to increased anxiety/depression and impaired functioning. Having a partner reduces the perception of women on the presence of clinical morbidities.ConclusionDuring postpartum care, women presented high frequency of anxiety and depression and relevant frequency of substance use and violence. These aspects of women´s health need further evaluation and specific interventions to improve quality of care.


2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Dereseh BA ◽  
◽  
Abraha M ◽  
Haile K ◽  
Fanta T ◽  
...  

Background: Since December 2019, an outbreak of corona virus disease 2019(COVID-19), caused by the Severe Acute Respiratory Syndrome Corona Virus-2 (SARS-CoV-2) has widely and rapidly spread in China and around the world. Since 31 December 2019 and as of 30 April 2020, more than 25,000,000 cases of COVID-19 and 800,000 deaths have been reported. The grim epidemic has caused increasing public panic and mental health stress. Mental health is becoming an issue that cannot be ignored, while trying to control the outbreak. Cross sectional study was conducted to assess magnitude and factors associated depression among patients with COVID-19 in St. Peter Specialized Hospital Treatment Centers Addis Ababa, Ethiopia. Methods: Institutional based cross-sectional study was conducted among 422 Patients with COVID-19 admitted at St. Peter Specialized Hospital COVID-19 treatment center. The Anxiety and Depression was assessed through face to face interviews by trained psychiatry nurses using 14-items Hospital Anxiety and Depression Scale (HADS).Correlates for depression & anxiety were assessed using a structured questionnaire and Oslo social support scale. Result: A total of 373 participants were volunteer to be included in the study which makes the response rate88.4%. The mean age of the respondents was 37.46 (±SD=16.09) years. This study revealed that the Magnitude of Depression 36.5 % (136) and Anxiety 21.2 % (79) among COVID-19 patients. By using Multivariate (Anxiety) Logistic Regression, Patients who were Male (AOR 5.01, 95%CI (2.11, 11.87)), Housewife (AOR 11.43, 95%CI ( 2.67, 48.90)), Selfemployed (AOR 2.45,, 95%CI (1.07, 5.60)), having Diagnosed Chronic illness (AOR 2.56, 95%CI (1.19, 5.53)), having COVID-19 Symptoms for below 7 days and for 8-14 days ((AOR 3.21, 95%CI (1.21, 8.58)) & AOR 3.70, 95%CI (1.55, 8.84)) respectively) and those who had Poor/low Social Support (AOR 3.42, 95%CI (1.21, 9.63)) had Statistically Significant Association with Anxiety. By using Multivariate (Depression) Logistic Regression, Patients who were 41 and above years of old (AOR 3.95, 95% CI (1.80, 8.69)), had Monthly Income of less than 1000 birr (AOR 2.99, 95%CI (1.11, 8.05)), Having COVID-19 Symptoms for 8-14 days (AOR 2.63, 95% CI (1.34, 5.17)) and who had Poor Social Support (AOR 3.13, 95% CI (1.34, 7.30)) were Statistically Significant Associated with Depression. Conclusion: In the current study area the magnitude of depression and anxiety was high. Factors like sex, Job, having Diagnosed Chronic illness, Duration of COVID-19 symptom and social support with anxiety and factors such as age, income, duration of COVID-19 symptom and social support had statistically significant associated with depression.


2020 ◽  
Author(s):  
Mengistu Ayenew ◽  
Teshome Kabeta ◽  
Kifle Woldemichael

Abstract Background: Street children constitute a marginalized population in most urban centers of the world. According to UN sources, there are up to 150 million street children in the world today. In Ethiopia, 150,000 children live on the streets in Ethiopia, about 60,000 of them in the capital. However, aid agencies estimate that the problem may be far more serious, with nearly 600,000 street children country-wide and over 100,000 in Addis Ababa. World Health Organization estimates that globally, 25- 90% of street children indulge in substance use. Even if substance use has become a common problem in Ethiopia, most of the studies done mainly focused among schools, college and university students. Research on street children and their substance use habits in Ethiopia, specifically in Jimma is limited that’s why the number of street children is not known. Objectives: To assess the prevalence and factors associated with substance use among street children in Jimma town of Ethiopia in 2019.Methods: Cross sectional study was undertaken from March 1-31, 2019. Complete enumeration of study subjects was done and all 312 children of the streets were included. Interviewer administered structured questionnaires was used to collect the data. Bivariable logistic regression was carried out to select candidate for multiple logistic regression analysis with p-value <0.25 at 95% confidence. Multiple logistic regression was carried out with those candidate variables using backward method and the association was declared with p value of <0.05 at 95% confidence level.Result: Three hundred twelve street children were included in the study. The prevalence of substance use was 96 (30.8%) with 95% CI [25-36.2]. Age>14 [AOR: 1.97 95%CI:1.00-3.889], attending grade 1-4th [AOR: 0.33 95%CI:0.151-0.737], attending 5th grade and above [AOR: 0.27 CI:0.093-0.756], child whose mother used substances [AOR: 7.78 95%CI:3.00-20.11], child didn’t know his maternal substance use status [AOR:5.1 95%CI: 2.19-11.81], child whose sibling use substance [AOR: 2.23 95%CI:1.254-5.63], best friend substance use [AOR: 11.01 95%CI:5.47-25.04] and staying 12-60 months on the street [AOR:3.00 95%CI:1.511-5.96] and staying >5 years on the street [AOR:4.6 95%CI:1.06-19.7] were significantly associated with substance use.Conclusion and recommendation: The prevalence of substance use among street children in Jimma town was high. Mothers and siblings have crucial roles in determining substance use behavior of the children. Stakeholders who are working on the improvement in the life of children of the street should try to satisfy the need of the children by intervening at individual level, at family or community level and at levels beyond community to lessen the problem to some extent. Researchers should do similar researches in more detail on these vulnerable but neglected groups of children to fully understand about the problem so the findings will be used as inputs for concerned bodies.


BMJ Open ◽  
2020 ◽  
Vol 10 (9) ◽  
pp. e041370
Author(s):  
Charlie Kenward ◽  
Adrian Pratt ◽  
Sam Creavin ◽  
Richard Wood ◽  
Jennifer A Cooper

ObjectivesTo use Population Health Management (PHM) methods to identify and characterise individuals at high-risk of severe COVID-19 for which shielding is required, for the purposes of managing ongoing health needs and mitigating potential shielding-induced harm.DesignIndividuals at ‘high risk’ of COVID-19 were identified using the published national ‘Shielded Patient List’ criteria. Individual-level information, including current chronic conditions, historical healthcare utilisation and demographic and socioeconomic status, was used for descriptive analyses of this group using PHM methods. Segmentation used k-prototypes cluster analysis.SettingA major healthcare system in the South West of England, for which linked primary, secondary, community and mental health data are available in a system-wide dataset. The study was performed at a time considered to be relatively early in the COVID-19 pandemic in the UK.Participants1 013 940 individuals from 78 contributing general practices.ResultsCompared with the groups considered at ‘low’ and ‘moderate’ risk (ie, eligible for the annual influenza vaccination), individuals at high risk were older (median age: 68 years (IQR: 55–77 years), cf 30 years (18–44 years) and 63 years (38–73 years), respectively), with more primary care/community contacts in the previous year (median contacts: 5 (2–10), cf 0 (0–2) and 2 (0–5)) and had a higher burden of comorbidity (median Charlson Score: 4 (3–6), cf 0 (0–0) and 2 (1–4)). Geospatial analyses revealed that 3.3% of rural and semi-rural residents were in the high-risk group compared with 2.91% of urban and inner-city residents (p<0.001). Segmentation uncovered six distinct clusters comprising the high-risk population, with key differentiation based on age and the presence of cancer, respiratory, and mental health conditions.ConclusionsPHM methods are useful in characterising the needs of individuals requiring shielding. Segmentation of the high-risk population identified groups with distinct characteristics that may benefit from a more tailored response from health and care providers and policy-makers.


Sexual Health ◽  
2020 ◽  
Vol 17 (1) ◽  
pp. 9
Author(s):  
Wresti Indriatmi ◽  
Rizky Lendl Prayogo ◽  
Hanny Nilasari ◽  
Lis Surachmiati Suseno

Background Neisseria gonorrhoeae has developed resistance to various antimicrobials. At least 10 countries have reported treatment failures with extended-spectrum cephalosporins. Periodic surveillance is essential to determine local treatment guidelines. This study was conducted to determine the resistance of N. gonorrhoeae to penicillin, tetracycline, levofloxacin, cefixime and ceftriaxone among the high-risk population for acquiring STIs in Jakarta and to identify factors associated with resistance. Methods: A cross-sectional study was conducted in Jakarta, Indonesia, from September to November 2018. In all, 98 high-risk males and females who fulfilled the study criteria were included. Specimens were collected from urethral or endocervical swabs, put into Amies transport medium and then transported to the Laboratory of Clinical Microbiology, Universitas Indonesia for culture and identification. Proven gonococcal isolates were examined for susceptibility to various antimicrobials using the disk diffusion method according to Clinical and Laboratory Standard Institute guidelines. Results: Of the 98 specimens, 35 were confirmed to be N. gonorrhoeae. The proportion of N. gonorrhoeae specimens resistant to penicillin, tetracycline, levofloxacin, cefixime and ceftriaxone among the high-risk population was 97.1%, 97.1%, 34.3%, 0% and 0% respectively. The possible factors associated with resistance could only be analysed for levofloxacin. Age, sexual orientation and a history of orogenital sexual activity during the past month were not associated with N. gonorrhoeae resistance to levofloxacin. Conclusion: This study detected no resistance of N. gonorrhoeae to cefixime and ceftriaxone. Further studies with larger samples are needed to obtain more representative results of N. gonorrhoeae resistance and the possible factors associated with resistance.


PLoS ONE ◽  
2021 ◽  
Vol 16 (12) ◽  
pp. e0260819
Author(s):  
Stewart Ndutard Ngasa ◽  
Leticia Armelle Sani Tchouda ◽  
Christabel Abanda ◽  
Neh Chang Ngasa ◽  
Eric Wah Sanji ◽  
...  

Studies assessing the mental health of patients with COVID-19 infection remain limited. Disasters and major emergencies, not just COVID-19, undoubtedly lead to greater incidence of mental health problems. Previous studies indicate that the novel Coronavirus disease can cause panic and stress in patients. Our literature search didn’t reveal any previous published data from Cameroon and the Central African sub-region. In order to bridge this gap, we assessed the prevalence and factors associated with depression and anxiety in COVID-19 patients. We carried out a cross-sectional study in a secondary hospital in the Littoral Region of Cameroon. We recruited hospitalised COVID-19 patients during a 4-month period. We collected data on sociodemographic characteristics. The HADS score was used to assess levels of anxiety and depression. All analysis were done using Stata 14. A P value of <0.05 was used as the cut-off for statistical significance. A total number of 285 patients took part in this study with a mean age of 48.47 years. The prevalence of anxiety in COVID-19 patients was 60.35% while the prevalence of depression was 81.40%. At multivariate logistic regression male gender (OR: 1.89, P = 0.04), hypoxaemia (OR: 2.20, P = 0.01), presence of COVID-19 complications (OR: 1.61, P = 0.02) and current episode of depression (OR: 4.14, P<0.01) were independently associated with anxiety. Similarly, age > 35 years (OR:2.03, P = 0.02), presence of comorbidity (OR: 1.68, P = 0.01), BMI > = 30kg/m2 (OR: 1.78, P = 0.02), presence of COVID-19 complications (OR: 1.28, P = 0.01) and anxiety (OR: 4.60, P<0.001) were independently associated with depression. Hospitalised patients with COVID-19 experienced high levels of anxiety and depression. Treatment of hospitalised patients with COVID-19 should therefore include psychotherapy and psychiatric support.


2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
Stephanie Pabon ◽  
Mary A. Parpinelli ◽  
Martha B. Narvaez ◽  
Charles M’poca Charles ◽  
Jose P. Guida ◽  
...  

Objective. To evaluate the prevalence of nonsevere maternal morbidity (including overall health, domestic and sexual violence, functionality, and mental health) in women during antenatal care and further analyze factors associated with compromised mental functioning and clinical health by administration of the WHO’s WOICE 2.0 instrument. Method. A cross-sectional study was conducted at a referral center in Brazil with an interview and questionnaire administered to pregnant women at 28 weeks of gestation and beyond. Data collection and management were supported by REDCAP software. A descriptive analysis was performed, and a multiple regression analysis also investigated factors associated with impairment in mental conditions, functionality, and clinical health. Results. 533 women at a mean age of 28.9 years (±6.7) were included, and the majority had a partner (77.1%) and secondary education (67.7%). Exposure to violence occurred in 6.8%, and 12.7% reported substance use. Sexual satisfaction was reported by the vast majority (91.7%), although almost one-fifth were sexually abstinent. Overall, women reported very good and good health (72%), despite being told that they had a medical condition (66%). There was an overall rate of anxiety in 29.9%, depression in 39.5%, and impaired functioning in 20.4%. The perception of an abnormal clinical condition was the only factor independently associated with impaired functioning and mental health in the multiple regression model. Obesity was independently associated with clinical impairment. Conclusion. During antenatal care, pregnant women in the study reported having a high rate of anxiety, depression, impaired functioning, and substance use. These issues can affect a woman’s health and should be further addressed for specific interventions and improved quality of care.


2021 ◽  
Author(s):  
Stewart Ndutard Ngasa ◽  
Leticia Armelle Sani Tchouda ◽  
Christabel Abanda ◽  
Neh Chang Ngasa ◽  
Carlson-Sama Babila ◽  
...  

Abstract Introduction: Studies assessing the mental health of patients with COVID-19 infection remain limited. Disasters and major emergencies, not just COVID-19, undoubtedly lead to greater incidence of mental health problems. Previous studies indicate that the novel Coronavirus disease can cause panic and stress in patients. Our literature search didn’t reveal any previous published data from Cameroon and the Central African sub-region. In order to bridge this gap, we assessed the prevalence and factors associated with depression and anxiety in COVID-19 patients.Methods: We carried out a cross-sectional study in a secondary hospital in the Littoral Region of Cameroon. We recruited hospitalised COVID-19 patients during a 4-month period. We collected data on sociodemographic characteristics. The HADS score was used to assess levels of anxiety and depression. All analysis were done using Stata 14. A P value of <0.05 was used as the cut-off for statistical significance.Results: A total number of 285 patients took part in this study with a mean age of 48.47 years. The prevalence of anxiety in COVID-19 patients was 60.35% while the prevalence of depression was 81.40%. At multivariate logistic regression male gender (OR: 1.89, P=0.04), hypoxaemia (OR: 2.20, P=0.01), presence of COVID-19 complications (OR: 1.61, P= 0.02) and current episode of depression (OR: 4.14, P<0.01) were independently associated with anxiety. Similarly, age > 35 years (OR:2.03, P= 0.02), presence of comorbidity (OR: 1.68, P= 0.01), BMI > = 30kg/m2 (OR: 1.78, P= 0.02), presence of COVID-19 complications (OR: 1.28, P= 0.01) and anxiety (OR: 4.60, P<0.001) were independently associated with depression. Conclusion: Hospitalised patients with COVID-19 experienced high levels of anxiety and depression. Treatment of hospitalised patients with COVID-19 should therefore include psychotherapy and psychiatric support.


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