Mental Illness in Healthcare: A Comprehensive Cost Analysis Report

This report analyzes the healthcare costs associated with mental illness, particularly focusing on psychological distress and major depression. It examines the allocation of healthcare resources and the maintenance of high-quality care for individuals with mental illnesses, using population-based cohort studies to assess the financial burden. The report highlights the prevalence of depression and its impact on healthcare expenditure, comparing data from the US and Canada and discussing the limitations of the studies, such as the exclusion of certain populations and the lack of detailed cost comparisons. The analysis covers cost methodologies, including doctor visits, hospitalization, and palliative care, and evaluates the direct revenue associated with healthcare management. The study utilizes a gamma model for outcomes and discusses the advantages and disadvantages of the analysis, including the use of a linear model and the application of survey weights. The report concludes that individuals with psychological distress and depression experience similar per-capita direct health management costs, emphasizing the importance of recognizing mental healthcare needs.

Running head: MENTAL ILLNESS IN HEALTH CARE
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Name of the Student
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The paper has aimed to shed light on the healthcare costs that have been allocated for
the people with psychological disorders like distress and depression. The main keywords for
the articles based upon the survey on mental health and well being. The paper has discussed
about the health administrative databases regarding to the depression mainly (Chiu et al.,
2017). Another keyword is the allocation of health care resources in the psychological
distress. Also the paper is based upon the maintenance of high quality care in mental illness.
This paper has highlighted the depression as a major concern in mental illness. The
people with major depressive disorder exclusively show psychological distress. This article
mainly supports the population based cohort studies. According (Skosireva et al., 2014), this
cohort studies actually help to examine the costs of mental illness. This paper has focused on
the mental distress associated with low sociological status. It shows the study population in
the criteria of improvement and reduction of mental condition (Chiu et al., 2017).
In US below 20 percent adults has experienced a huge depressive episode in their live
for a certain time. However in Canada the prevalence was more than 12 percent (Chiu et al.,
2017). Hence, there were some causes in reduction of mentally depressed people in Canada.
However the chosen paper has not discussed about the difference between US and Canada
regarding their social depression.
Again the paper has focused on the individuals in primary care setting related to
psychiatric treatment. However it does not indicate the population based parameters.
According to, (Knaak, Mantler & Szeto, 2017), as a result the paper has successively
examined the people represented depression particularly those who do not look for health
services. Also it has indicated the studies having limitations due to the age, sex, lifestyles,
incomes and somatic illness.

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The paper did not indicate the cost comparison of MDD group of patient. However
this article has confided with the self reported health care utilization. This paper has
successively evaluated the authentic intervention of the health sectors in the mental illness
cases. Hence according to (Gabbidon et. al, 2013), it can be said that the articles revealed the
determination of the direct revenue associated with the health care management regarding
psychological distress and depression.
The method is used here for the study of the population of Canadian Community. The
main disadvantage of the survey is that the Indian Reserves and the Crown Land people in
Canada were excluded from the study. However the case study mentioned a valid card holder
number for the people and their house. Only the people with valid card number were included
in the study (Chiu et al., 2017). Hence it was also considered as a disadvantage because all
the community people were not examined fir the priority of mental illness (Hollis et al,.
2015).
Also this article has eventually described the legal definition of psychological distress,
depression and comparison with other community members regarding the serious mental
illness. According to (Hollis et al,. 2015), the article exclusively maintained the recent
version of World Health Organization (WHO) to describe the diagnostic interview of the
selected subjects from specific community. When the article has tried to shed light on the cost
estimation then the paper successively divide the estimation technique into two parts such as
Cost methodology and Per-Capita costs.
Now in case of cot methodology this paper eventually indicates the costs for doctor
visits, hospitalization, and palliative care treatment. The report has shown the importance of a
health administrative database in case of mental illness caring service. The paper focused the
billing process of a psychiatric patient admitted in the hospital , where it can be shown that

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major parts of the bill of expenditure associated with the psychiatrists cost and MHA costs.
And as the basis of the event the paper also focused on the non-MHA costs. All the outpatient
physician costs were considered as these non-MHA costs. (Skosireva et al., 2014).
However it can be argued that the articles did not define the per-capita costs
effectively. Because the paper estimate only the mean overall costs for the individual study
group. Now the average report is not accurate as it was just estimation. According to (
Angermeyer, M. C., Matschinger & Schomerus, 2013), this is the disadvantages of the report
in the evaluation of cost estimation for the mental illness caring service.
On the other hand the paper did not say anything about the patient centred care in the
statistical analysis of the outcome of the cost effectiveness. However the article has used a
gamma model of distribution for the outcomes of the non-zero costs. According to (Gabbidon
et. al, 2013), it can be said that the first part of the model has indicated the cost associated
with probit model and the second part has indicate the measurement of the level of costs
among all the non-zero costs.
The main advantage of the analysis is that here linear model has used for estimation
of cost methodology, where modified Park test is used. The paper has described the excess
cost as a difference between the cost of the each exposure group and the comparison group.
However according to (Hendrie et al., 2013), this paper has performed by the survey weights
to allow the generalizability to the total Ontario population and bootstarp methods.
Hence the paper successively estimated the adjustment of unadjusted multivariable
costs regarding with the help of proper multivariable-adjusted models. It can be concluded
that individual with psychological distress and depression cribbed similar per-capita direct
health management cost. The squatted rate of contact with healthcare management system in

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between the patients with mental distress exclusively gives an opportunity for the individual
to be recognized the mental healthcare.

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References
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Chiu, M., Lebenbaum, M., Cheng, J., de Oliveira, C., & Kurdyak, P. (2017). The direct healthcare
costs associated with psychological distress and major depression: A population-based cohort
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Skosireva, A., O’Campo, P., Zerger, S., Chambers, C., Gapka, S., & Stergiopoulos, V.
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