Maternal depression and child psychopathology among Attendees at a Child Neuropsychiatric Clinic in Abeokuta, Nigeria: A cross sectional study

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Study Justification:
– The study aimed to investigate the relationship between maternal depression and child psychopathology among attendees at a Child Neuropsychiatric Clinic in Abeokuta, Nigeria.
– This research is important because children with mental and neurological disorders often experience emotional and behavioral problems that go beyond their specific diagnoses.
– The study focused on low and middle-income countries, where research on the relationship between maternal and child psychopathology is lacking.
Highlights:
– The study included 100 mothers of children receiving care at the Child and Adolescent Clinic of a Neuropsychiatric Hospital in Abeokuta, Nigeria.
– The mean age of the mothers was 40.4 years, and the mean age of the children was 11.6 years.
– Among the children, 63% had a main diagnosis of seizure disorder, and 40% had a comorbid diagnosis.
– 23% of the mothers had major depressive disorder.
– 25% of the children had abnormal scores on the Strengths and Difficulties Questionnaire (SDQ), indicating emotional and behavioral problems.
– Maternal major depressive disorder was associated with poor SDQ scores in the children, except for the emotional domain.
– Not being married and longer duration of the child’s illness were associated with maternal major depressive disorder.
Recommendations:
– Mothers of children with neuropsychiatric disorders should be screened for depressive illness.
– Healthcare providers should consider the mental health of caregivers when treating children with mental and neurological disorders.
– Further research is needed to better understand the relationship between maternal and child psychopathology in low and middle-income countries.
Key Role Players:
– Consultant psychiatrists, resident doctors, and a locum consultant neurologist at the Child and Adolescent Clinic.
– Multidisciplinary staff including doctors, nurses, occupational therapists, speech and language therapists, pharmacists, social workers, psychologists, and physiotherapists.
– Researchers and data analysts.
Cost Items for Planning Recommendations:
– Screening tools for depressive illness.
– Training and education for healthcare providers on identifying and addressing maternal depression.
– Additional staff or resources to support the mental health needs of caregivers.
– Research funding for further studies on maternal and child psychopathology in low and middle-income countries.

The strength of evidence for this abstract is 7 out of 10.
The evidence in the abstract is moderately strong. The study had a sample size of 100 mothers and children, which is a decent size for a cross-sectional study. The study used validated questionnaires to collect data and conducted statistical analysis using SPSS. However, the abstract does not provide information on the representativeness of the sample or the generalizability of the findings. Additionally, the abstract does not mention any limitations of the study. To improve the strength of the evidence, future studies could consider using a larger and more diverse sample, provide information on the representativeness of the sample, and discuss any limitations of the study.

Background: Children with recognized, diagnosable mental and neurological disorders are in addition prone to emotional and behavioral problems which transcend their specific diagnostic labels. In accessing care, these children are almost invariably accompanied by caregivers (usually mothers) who may also have mental health problems, notably depression. The relationship between child and maternal psychopathology has however not been sufficiently researched especially in low and middle income countries. Methods: Mothers (n = 100) of children receiving care at the Child and Adolescent Clinic of a Neuropsychiatric Hospital in Abeokuta, Nigeria took part in the study. To each consenting mother was administered a sociodemographic questionnaire and the Patient Health Questionnaire, while information regarding their children (n = 100) was obtained using the Strengths and Difficulties Questionnaire. Data analysis was done with the Statistical Package for Social Sciences (SPSS) version 16. Results: The mean ages of the mothers and children were 40.4 years (SD 4.7) and 11.6 years (SD 4.1), respectively. Among the children, 63 % had a main diagnosis of seizure disorder. Regardless of main diagnosis, 40 % of all the children had a comorbid diagnosis. Among the mothers, 23 % had major depressive disorder. A quarter (25 %) of the children had abnormal total SDQ scores. A diagnosis of major depressive disorder in mothers was associated with poor total SDQ scores and poor scores in all SDQ domains except the emotional domain for the children. Major depressive disorder among the mothers was associated with not being married (p = 0.004; OR = 0.142, 95 % CI 0.037-0.546) and longer duration of the child’s illness (p = 0.039, OR = 1.165, 95 % CI 1.007-1.346). Conclusion: The study showed notable rates of depressive illness among mothers of children with neuropsychiatric disorders. Marked rates of emotional and behavioral disorders were also found among the children. Associations were found between maternal and child psychopathology. Mothers of children with neuropsychiatric disorders should be screened for depressive illness.

The study was conducted at the Child and Adolescent Clinic (CAC) of the Neuropsychiatric Hospital, Aro, Abeokuta, Ogun State, Nigeria. The Child and Adolescent Clinic became functional in 2007 and is run by the Child and Adolescent Unit of the Hospital which is managed by three consultant psychiatrists. Resident doctors rotate through the unit, with a locum consultant neurologist seeing patients at the clinic once a week. There is a full complement of twenty multidisciplinary staff providing care in the clinic including doctors, nurses, occupational therapists, speech and language therapists, and pharmacists, with access to social workers, psychologists and physiotherapists. Clinics are run twice a week, with an average of 25 children seen at each clinic. A brief review of the records showed that 90 % of carers are Mothers, and as much as 60 % of children seen have epilepsy, either occurring alone or comorbidly with another disorder. Other commonly seen disorders include intellectual disability, autism spectrum disorders, attention deficit hyperactivity disorder, mood disorders, and early onset psychosis. The study population comprised mothers of children receiving treatment at the CAC. Included mothers were those whose children had illness of longer than 6 months’ duration, and who were the primary caregivers (meaning those who were living with the child receiving treatment, were financially responsible for the care of the child, and were called upon in emergencies involving the child). Mothers with prior lifetime history of mental illness (who had been diagnosed with mental illness at any time before the study, either before or after the child was born), or who reported having a family history of mental illness, were excluded. This was done given that a number of mothers may have suffered depression even without having a child with a mental or neurological illness, and the study design tried to exclude such to better address the question of a relationship between maternal depression and child psychopathology. The study participants were recruited using a systematic random technique. On every clinic day, a random start was picked by a simple ballot from the first two children presenting at the clinic. Thereafter, alternate children accompanied by the Mother were picked. Those who were not accompanied by their Mothers, or for whom consent was not obtained, were replaced by the next suitable mother. This process gave ten mothers to be interviewed per clinic day, or twenty per week, over a period of 5 weeks in March through April, 2015. Three instruments were used to collect data. These were: The PHQ and the SDQ are available in Yoruba, the language widely spoken in the study area. The Yoruba versions were required because of the assumption that not all subjects would be fluent in English. Participants were recruited from among mothers of children presenting at the CAC. On the designated clinic days, Mothers to be recruited into the study were picked from the pool presenting on each clinic day. They were approached on the morning of the clinic while waiting for their children to be seen. Those who provided consent were recruited. All mothers were given the socio-demographic questionnaire, PHQ-9 and SDQ to fill while awaiting consultation. Mothers who were unable to read or write had the questionnaire read to them by the investigator. Ethical approval for the study was obtained from the Health Research Ethics Committee of the Neuropsychiatric Hospital, Aro Abeokuta. All mothers signed written consent forms after the nature, purpose and scope of the study had been explained to them. Verbal assent was also obtained from the children, who were physically present when their mothers were being interviewed. Although the children were not interviewed directly, their mothers were required to supply information about them. No age limit was adopted for this. A spreadsheet was used for initial data recording from the various instruments. The prevalence of depression and socio-demographic variables was presented using descriptive statistical measures such as means (with standard deviations) and frequency tables. On the PHQ, a score of 5 and above (out of a total of 27) was considered as screen positive for any depression, while a cut-off score of 10 and above was adopted as screen positive for major depressive disorder (MDD) only. This followed the cut-off points reported by Adewuya et al. [25] for minor and major depressive disorders respectively. The relationship between maternal depression and child emotional/behavioral problems was tested using Chi squares, t tests and correlations as appropriate. Scores for emotional/behavioral problems among the children, assessed by the SDQ, were computed as total scores and subscale scores for emotional, conduct problems, hyperactivity, peer problems and prosocial subscales [26]. The 25 items in the SDQ are divided into these 5 subscales with 5 items each. Items in each subscale are scored (0–10) after which the scores are categorized as normal, borderline or abnormal. A total score (0–40) is also generated from four out of the five subscales (excluding the prosocial subscale). However, inferential analysis for SDQ scores was done using raw scores (quantitative variables). For variables significantly associated with screening positive for major depressive disorder, logistic regression analysis was done. Similarly, linear regression was done for variables associated with scores on the SDQ. Tests were two-tailed, with level of significance set at p < 0.05. Statistical analysis was done using version 16 of SPSS.

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Based on the information provided, it seems that the study focused on the relationship between maternal depression and child psychopathology among attendees at a Child Neuropsychiatric Clinic in Abeokuta, Nigeria. The study aimed to identify the rates of depressive illness among mothers of children with neuropsychiatric disorders and to explore the association between maternal and child psychopathology.

While the study does not explicitly mention innovations or recommendations for improving access to maternal health, there are several potential innovations that could be considered based on the findings and context of the study:

1. Integrated care: Implementing an integrated care model that combines mental health services for both mothers and children could improve access to maternal health. By providing comprehensive care in one setting, it may be easier for mothers to seek help for their own mental health while accompanying their children to appointments.

2. Screening and early intervention: Developing and implementing screening tools for maternal depression in child healthcare settings could help identify mothers who may be at risk and provide early intervention. This could involve training healthcare providers to recognize signs of maternal depression and offering appropriate support and referrals.

3. Community-based support: Establishing community-based support groups or networks for mothers of children with neuropsychiatric disorders could provide a space for them to connect, share experiences, and access resources. These support groups could also offer educational sessions on mental health and provide information on available services.

4. Telehealth services: Introducing telehealth services, such as virtual consultations or teletherapy, could improve access to maternal health services, particularly for mothers who may face barriers to in-person care, such as transportation or childcare issues. Telehealth can provide convenient and accessible options for mothers to seek support and treatment.

5. Training and capacity building: Providing training and capacity building programs for healthcare providers in maternal mental health could enhance their knowledge and skills in identifying and addressing maternal depression. This could include training on evidence-based interventions and culturally sensitive approaches.

It is important to note that these recommendations are based on the general context of improving access to maternal health and may not directly address the specific findings of the study. Further research and collaboration with local stakeholders would be needed to develop and implement appropriate innovations in the specific setting of the Child and Adolescent Clinic in Abeokuta, Nigeria.
AI Innovations Description
The study titled “Maternal depression and child psychopathology among Attendees at a Child Neuropsychiatric Clinic in Abeokuta, Nigeria: A cross sectional study” aimed to investigate the relationship between maternal depression and child psychopathology in low and middle income countries. The study was conducted at the Child and Adolescent Clinic (CAC) of the Neuropsychiatric Hospital in Abeokuta, Nigeria.

The study included 100 mothers of children receiving care at the CAC. The mothers were administered a sociodemographic questionnaire and the Patient Health Questionnaire (PHQ) to assess for depression. Information about the children was obtained using the Strengths and Difficulties Questionnaire (SDQ) to assess for emotional and behavioral problems. Data analysis was conducted using the Statistical Package for Social Sciences (SPSS) version 16.

The findings of the study revealed that 23% of the mothers had major depressive disorder. Among the children, 25% had abnormal scores on the SDQ, indicating emotional and behavioral problems. There was a significant association between maternal depression and poor scores on the SDQ for the children. The study also found that maternal depression was associated with not being married and longer duration of the child’s illness.

Based on the results of this study, a recommendation to improve access to maternal health and address maternal depression in low and middle income countries could be to implement routine screening for maternal depression in healthcare settings that serve mothers and children. This could involve training healthcare providers to administer screening tools like the PHQ and providing appropriate support and referrals for mothers who screen positive for depression. By identifying and addressing maternal depression, healthcare providers can help improve the mental health and well-being of both mothers and their children.
AI Innovations Methodology
Based on the provided information, here are some potential recommendations to improve access to maternal health:

1. Increase awareness and education: Implement programs to educate mothers and caregivers about the importance of maternal mental health and its impact on child psychopathology. This can be done through community outreach programs, workshops, and informational campaigns.

2. Screening and early intervention: Develop screening tools and protocols to identify mothers at risk of depression and other mental health issues. Integrate mental health screening into routine maternal health check-ups and provide appropriate interventions and support for those identified as needing help.

3. Collaborative care models: Establish collaborative care models that involve a multidisciplinary team of healthcare professionals, including psychiatrists, psychologists, social workers, and nurses. This team can work together to provide comprehensive care for both the mother and child, addressing their mental health needs.

4. Integration of mental health services: Integrate mental health services into existing maternal health programs and facilities. This can help reduce stigma and improve access to care by making mental health services more readily available and easily accessible.

To simulate the impact of these recommendations on improving access to maternal health, a methodology could include the following steps:

1. Define the target population: Identify the specific population that will be affected by the recommendations, such as mothers of children with neuropsychiatric disorders in Abeokuta, Nigeria.

2. Collect baseline data: Gather data on the current state of access to maternal health services in the target population. This can include information on the prevalence of maternal depression, utilization of mental health services, and barriers to accessing care.

3. Develop a simulation model: Create a simulation model that incorporates the potential impact of the recommendations on improving access to maternal health. This model should consider factors such as increased awareness and education, screening and intervention rates, and the integration of mental health services.

4. Input data and run simulations: Input the baseline data into the simulation model and run multiple simulations to estimate the potential impact of the recommendations. This can include measuring changes in the prevalence of maternal depression, utilization of mental health services, and improvements in access to care.

5. Analyze results: Analyze the results of the simulations to determine the potential effectiveness of the recommendations in improving access to maternal health. This can include identifying key factors that contribute to improved access and evaluating the overall impact on the target population.

6. Refine and validate the model: Refine the simulation model based on the analysis of the results and validate the model using additional data or expert input. This can help ensure the accuracy and reliability of the simulation results.

7. Communicate findings and make recommendations: Present the findings of the simulation study and make recommendations based on the results. This can inform policymakers, healthcare providers, and other stakeholders about the potential benefits of implementing the recommendations to improve access to maternal health.

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