Help-seeking intention and associated factors towards mental illness among residents of Mertule Mariam town, East Gojam Zone, Amhara Region, Ethiopia: A mixed-method study

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Study Justification:
– The study aimed to assess the help-seeking intention for mental illness among residents of Mertule Mariam town in Ethiopia.
– The study aimed to fill the gap in evidence regarding help-seeking intention towards mental illness in Africa, particularly in Ethiopia.
– The study aimed to provide baseline information for public health interventions related to mental health.
Highlights:
– 81.5% of respondents had the intention to seek help from healthcare workers.
– 44.6% of participants had the intention to seek help from traditional healers.
– Factors associated with help-seeking intention included the belief that mental illness needs treatment, age group of 25-34 years, mild social support, and perceived severity of mental illness.
– Strengthening the delivery of information about mental illness through media like radio and television was recommended to improve help-seeking intention in the community.
Recommendations:
– Increase awareness and knowledge about mental illness through media campaigns.
– Provide education and training to healthcare workers to improve their ability to address mental health issues.
– Strengthen social support systems to enhance help-seeking intention for mental health problems.
Key Role Players:
– Researchers and academics in the field of mental health.
– Healthcare workers, including psychiatrists, psychologists, and counselors.
– Traditional healers and religious leaders.
– Media professionals for the dissemination of information.
– Community leaders and organizations involved in public health interventions.
Cost Items for Planning Recommendations:
– Media campaign costs for raising awareness about mental illness.
– Training and capacity-building costs for healthcare workers.
– Costs for developing and implementing social support programs.
– Administrative costs for coordinating and monitoring public health interventions.
– Costs for conducting research and evaluation to assess the effectiveness of interventions.

The strength of evidence for this abstract is 7 out of 10.
The evidence in the abstract is moderately strong. The study utilized both quantitative and qualitative methods, which adds depth to the findings. The sample size was calculated using appropriate statistical methods. However, the abstract does not provide information on the representativeness of the sample or the response rate. Additionally, the abstract does not mention any limitations of the study. To improve the evidence, it would be helpful to include information on the representativeness of the sample and the response rate. It would also be beneficial to acknowledge any limitations of the study, such as potential biases or confounding factors.

Background: About 76% and 85% of people in low and middle-income countries with severe mental illness did not get management because of fear of expected discrimination. Studying the intention to seek help for mental illness will, therefore, help to know their intended plan for help that would have a vital role to access patients with mental illness. Despite this, literature is limited in the area and community-based studies are scarce in Africa in general and Ethiopia in particular concerning help-seeking intention towards mental illness and its associated factors. Therefore, we assessed the pattern of intention to seek help and associated factors for mental illness among residents of Mertule Mariam town that would fill the gap in evidence and serve as baseline information for public health intervention. Methods: A community-based cross-sectional study design was conducted from May to June 2017 at Mertule Mariam town. General Help-Seeking Questionnaire (GHQ) was used to assess the intention of help sought. Focus group discussion had also been employed to obtain qualitative data. A multi-stage sampling technique was used to obtain a total sample of 964 participants. Data were fed into Epi Info 7 and analyzed using SPSS version 21. The binary logistic regression method was used and an odds ratio with its 95% confidence interval was computed. Variables in multi-variable logistic regression were considered as an independent predictor of help-seeking intention to mental illness if their P value was less than 0.05. Result: About 81.5% of respondents had the intent to seek help from healthcare workers. But 44.6% of participants had the intention to seek from traditional healers. Variables that had an association with help-seeking intention were having an idea that mental illness needs treatment (AOR = 3.42, 95% CI 1.1-10.55), age group of 25-34 years (AOR = 1.46, 95% CI 1.02-2.09), mild social support (AOR = 1.85, 95% CI 1.25-2.72), and perceived severity of mental illness. Conclusion: Community help-seeking intent for mental health problems was still inadequate. So strengthening to deliver information about mental illness through media like radio and television to advance help-seeking intention of the community was mandatory.

This study assessed the magnitude of help-seeking intention and its associated factor for mental illness among residents of Mertule Mariam town. The study utilized both quantitative and qualitative methods and was conducted in Mertule Mariam town from May to June 2017. Mertule Mariam town is located 364 km far from Addis Ababa, the capital city of Ethiopia. The town has a total population of 12,082(30), 6028 males and 6054 females. Regarding health facilities the town, has one hospital, one health center, and four private clinics. Moreover, the town has been geographically demarcated into two administrative kebele with 2848 households in kebele one and 2833 households in kebele two. The Mertule Mariam primary hospital provides multiple services like chronic care service, inpatient and outpatient services, ophthalmic services, maternal and child health series, Human Immune Deficiency Virus treatment, and prevention service. Mental health service is also one of the services delivered in this hospital. The psychiatric unit of the hospital has both outpatient service and inpatient service which are staffed by four BSc psychiatric professionals. According to the staff report, the traditional healers link the psychiatric patients to a psychiatric unit of Mertule Mariam Primary hospital. The sample size had been estimated with a single population proportion formula. The assumptions taken into consideration during the estimation of the sample size include the magnitude of help-seeking intention 59% [14] from a previous Ethiopian study and z-value of 1.96, margin of the error to be tolerated to be 0.05, design effect of 2 and non-response rate of 10%. So the total estimated sample size was 794. However, we also considered sample size calculation for the associated factors of help-seeking intention towards mental illness. So in this case, we calculated sample size using stat calc of Epi Info version 7 by taking confidence interval = 95%, power = 80%, design effect = 2 and an odds ratio of 0.55 for family history of mental illness which yielded the highest sample, 964 which was the final sample size for this study. A total of 964 adult people in the town aged 18 years and above who were available at home during the data collection period were joined in this study. A multi-stage sampling technique was employed. A systematic sampling method was also used to select households. If two or more adults were living in the households, to select the adult who participates in data collection, the lottery method was employed. The study excludes those who were severely ill due to any form of medical illness that prevents them from giving an interview. The dependent variable was help-seeking intention, whereas the independent variables include socio-demographic factors (age, sex, ethnicity, religion, marital status, educational status, occupational status, and family income), and illness perception factors. Data were collected by interviews using a semi-structured questionnaire by using the translated Amharic version of the questionnaire. General Help-Seeking Questionnaire (GHSQ) had been implemented for the assessment of help-seeking intention for their perceived mental illness [16]. In addition to this, Community Attitude Towards Mental Illness Inventory (CAMI) was utilized to assess community attitude towards mental illness [17]. The overall reliability of CAMI was a = 0.84. Moreover, the Mental Health Knowledge Schedule (MAKS), Oslo 3-item social support scale and illness perception questionnaire were employed to assess knowledge about mental illness, social support level of participants and illness perception about mental illness, respectively. The questionnaire was pre-tested on 5% (49) of the total sample size participants and we did not include the results of the pretest in the final analysis. Focus group discussion which had a member of religious leaders, health workers and community participants who were selected purposely was also conducted to obtain the qualitative part of the data. The principal investigator moderated the discussion of focus group discussion. Audio records and hand notes were used during the discussion. Data collectors and supervisors were trained for 2 days. The collected data were reviewed and checked for completeness daily. The quantitative data were entered using Epi info 7th version and exported to SPSS version 21 for analysis. Data were explored using descriptive statistical measures. Bivariate and multi-variable binary logistic regression analyses were used. A P-value of less than 0.2 on bivariate logistic regression was used to screen variables to be entered into multi-variate logistic regressions. Then independent variables with a p-value less than 0.05 on the final model were considered as determinants of help-seeking intention. The strength of the association has been illustrated by the odds ratio (OR) with its 95% confidence interval. Thematic analysis was also enrolled in the analysis of the qualitative part. Attitude: measured based on four subscales of CAMI; authoritarianism, benevolence, social restrictiveness, and community mental health ideology. Attitude scores are dichotomized by their mean score [17]. Good knowledge: was defined if the participants answer the knowledge questions greater than the mean score [18]. Good help-seeking intention: was defined if the participants intend to seek help from health workers for personal or family mental illness when they thought they have a problem. Social support: was categorized as poor if the score is 3–8, moderate if between 9 and 11 and strong if an overall score was between 12 and 14 [19]. Ethical clearance was obtained from the institutional review board of the University of Gondar College of medicine and health science and review committee of Amanuel Mental Specialized Hospital. Permission letter from the Mertule Mariam town administration was also requested and obtained so that distributed to the two kebele administrations before the starting of the study. Written consent was obtained from each participant after full information regarding the study was supplied. The name of the participants was not included in the questionnaire and therefore the information gathered from the participants was kept confidential.

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The study titled “Help-seeking intention and associated factors towards mental illness among residents of Mertule Mariam town, East Gojam Zone, Amhara Region, Ethiopia: A mixed-method study” aimed to assess the pattern of help-seeking intention and its associated factors for mental illness among residents of Mertule Mariam town. The study utilized both quantitative and qualitative methods and was conducted from May to June 2017. The study sample included 964 participants selected through a multi-stage sampling technique. Data were collected using a semi-structured questionnaire and analyzed using statistical software. The study found that about 81.5% of respondents had the intention to seek help from healthcare workers, while 44.6% had the intention to seek help from traditional healers. Factors associated with help-seeking intention included having an idea that mental illness needs treatment, age group of 25-34 years, mild social support, and perceived severity of mental illness. The study concluded that community help-seeking intention for mental health problems was still inadequate and recommended strengthening the delivery of information about mental illness through media like radio and television to improve help-seeking intention in the community. Ethical clearance was obtained, and written consent was obtained from each participant to ensure confidentiality.
AI Innovations Description
The study conducted in Mertule Mariam town aimed to assess the help-seeking intention and associated factors for mental illness among residents. The study used a mixed-method approach, including quantitative data collection through interviews using a semi-structured questionnaire and qualitative data collection through focus group discussions. The sample size was estimated using both a single population proportion formula and sample size calculation for associated factors.

The study found that about 81.5% of respondents had the intention to seek help from healthcare workers, while 44.6% had the intention to seek help from traditional healers. Factors associated with help-seeking intention included having an understanding that mental illness requires treatment, being in the age group of 25-34 years, having mild social support, and perceiving the severity of mental illness.

The study concluded that the help-seeking intention for mental health problems in the community was still inadequate. To address this, the study recommended strengthening the delivery of information about mental illness through media channels such as radio and television to improve the community’s help-seeking intention. This recommendation aims to increase awareness and reduce stigma surrounding mental illness, ultimately improving access to mental health services.
AI Innovations Methodology
The study titled “Help-seeking intention and associated factors towards mental illness among residents of Mertule Mariam town, East Gojam Zone, Amhara Region, Ethiopia: A mixed-method study” aimed to assess the pattern of help-seeking intention and its associated factors for mental illness among residents of Mertule Mariam town. The study used a community-based cross-sectional study design and was conducted from May to June 2017.

The methodology of the study involved both quantitative and qualitative data collection methods. A total sample size of 964 participants was obtained using a multi-stage sampling technique. The General Help-Seeking Questionnaire (GHQ) was used to assess the intention of help sought, and focus group discussions were conducted to obtain qualitative data. Data were analyzed using Epi Info 7 and SPSS version 21. Binary logistic regression was used to identify independent predictors of help-seeking intention.

The study found that about 81.5% of respondents had the intention to seek help from healthcare workers, while 44.6% had the intention to seek help from traditional healers. Factors associated with help-seeking intention included having an idea that mental illness needs treatment, being in the age group of 25-34 years, having mild social support, and perceiving the severity of mental illness.

In conclusion, the study revealed that community help-seeking intention for mental health problems was still inadequate. The study recommended strengthening the delivery of information about mental illness through media channels like radio and television to improve the help-seeking intention of the community.

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

1. Identify the specific recommendations for improving access to maternal health. These could include interventions such as increasing the number of healthcare facilities, training healthcare providers, improving transportation infrastructure, implementing community awareness programs, and ensuring availability of essential maternal health supplies.

2. Collect baseline data on the current status of maternal health access indicators, such as the number of healthcare facilities, healthcare provider-to-patient ratio, transportation availability, community knowledge about maternal health, and availability of essential supplies.

3. Use mathematical modeling techniques, such as simulation models or statistical regression models, to estimate the potential impact of the recommendations on improving access to maternal health. This could involve analyzing the relationship between the recommendations and the maternal health access indicators, and projecting the changes that could occur based on the implementation of the recommendations.

4. Validate the model by comparing the simulated results with real-world data or expert opinions to ensure accuracy and reliability.

5. Conduct sensitivity analyses to assess the robustness of the model and explore different scenarios or variations in the recommendations to understand their potential effects on improving access to maternal health.

6. Communicate the findings of the simulation analysis to relevant stakeholders, policymakers, and healthcare providers to inform decision-making and prioritize interventions for improving access to maternal health.

By following this methodology, policymakers and healthcare providers can gain insights into the potential impact of recommendations on improving access to maternal health and make informed decisions to address the gaps and challenges in maternal healthcare services.

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