Impact of socioeconomic position and distance on mental health care utilization: a nationwide Danish follow-up study

Packness, Aake; Waldorff, Frans Boch; Christensen, René De Pont; Hastrup, Lene Halling; Simonsen, Erik; Vestergaard, Mogens; Halling, Anders

doi:10.1007/s00127-017-1437-2

Cited by 52 publications

(49 citation statements)

References 31 publications

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“…The WHO-AIMS study in Nepal had found that 54% of inpatients were male. 2 Similar findings have been noted by other studies, 7,16,17 [22][23][24][25][26][27] Zulian et al reported the caseload decreased with increasing distance and found a 60% decrease in inpatient wards at a distance of 10km. 26 Majority of patients(88.4%) were Hindu by religion followed by Kirat(5.4%).…”

Section: Discussionsupporting

confidence: 78%

Morbidity Pattern in Psychiatric Ward in a Tertiary Care Hospital in Eastern Nepal

Basnet

Sapkota

Limbu

et al. 2018

J Psychiatr Assoc Nepal

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Introduction: Worldwide, the morbidity of psychiatric illnesses is on the rise. Quality in-patient services are a part of quality mental health services provision. Knowledge about the pattern of illness among patients admitted to the ward could help the service providers to plan better and provide better services. This study was undertaken to explore the clinico-demographic profile of patients admitted to psychiatric ward at BPKIHS..Material And Method: This is a hospital based retrospective and cross-sectional study. After ethical approval from the Institutional Review Committee, the data of all patients admitted to Psychiatry Ward from 1st January 2007 to 31st December 2016 were collected from the data-base of Medical Records Section. The diagnoses were made according to the ICD-10 criteria. 3687 admissions were processed for the analysis.Results: Of the 3687 admissions, 2183(59.2%) were male and 1504 (40.8%) were female. The age range was 4-92 years with mean age of 32.4(±12.6) years. The majority of the admissions (62.5%) were from Sunsari (1159,31.4%) and surrounding districts (1147,31.1%). Mood disorders were the commonest diagnoses 1788(48.5%) followed by schizophrenia, schizotypal and delusional disorders 829(22.5%) and psychoactive substance use disorders 813(22.1). 92% of patients admitted were improved on discharge and three cases expired in the ward. Out of 3687 admissions, 957(26%) were readmissions.Conclusion: Mood disorders were the commonest diagnosis among the admitted patients. Outcome of hospital stay was good with 92% discharged in improved condition and only three mortalities in 10 years duration. Address seems to significantly affect the service utilization. J Psychiatrists’ Association of Nepal Vol. 6, No. 2, 2017, Page: 15-21

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Section: Discussionsupporting

confidence: 78%

Morbidity Pattern in Psychiatric Ward in a Tertiary Care Hospital in Eastern Nepal

Basnet

Sapkota

Limbu

et al. 2018

J Psychiatr Assoc Nepal

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“…Several studies have shown that increase in distance decreases the likelihood of service utilization in mental health. [8][9][10][12][13][14] Similarly, there was significant association of proximity to hospital with LoS, those from same and nearby districts had shorter LoS as compared to others. In our clinical experience, those from nearby places, who could follow up regularly to OPD are discharged earlier as compared to those from faraway places who could have difficulty in following up regularly.…”

Section: Discussionmentioning

confidence: 93%

“…This was done as literature have shown the role of proximity to the service in mental health service utilization. [8][9][10] The data were entered into MS Excel and analysed using the SPSS version 20.0. For descriptive statistics, percentage, mean, range and standard deviation were calculated.We used bivariate and multiple logistic regression analysis to find the strength of association of LoS with variables of interest and adjusted Odds Ratio (aOR) were calculated with 95% confidence interval (CI).…”

Section: Methodsmentioning

confidence: 99%

Length of Stay of Psychiatric Admissions in a Tertiary Care Hospital

et al. 2018

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Introduction:The length of stay among psychiatric in-patients is usually longer than that of others. Inpatient management is costly and longer length of stay can lead to catastrophic costs. We conducted this study to explore about the length of stay of psychiatric admissions and factors affecting it. Methods:We collected the data of all the patients admitted to the psychiatric ward of B. P. Koirala Institute of Health Sciences from 1 st January 2007 to 31 st December 2016 from the database of the medical records section after ethical approval. The sociodemographic and clinical variables were analyzed using SPSS 20.0 version. Length of stay more than 3 weeks was considered as long stay. Bivariate and multivariable logistic regression analyses were conducted to identify factors associated with length of stay.Results: There were 3687 admissions during the study period. The average length of stay was 19.36 (±13.14) days. On logistic regression, the factors associated with shorter length of stay were: male gender (aOR= 0.79, 95%CI: 0.68-0.93), being self employed (aOR= 0.17, 95%CI: 0.12-0.22), homemakers (aOR= 0.18, 95%CI: 0.14-0.24), farmers (aOR= 0.20, 95%CI: 0.15-0.27) and students (aOR= 0.23, 95%CI:0.17-0.32). Similarly, factors associated with longer length of stay were: being from other Eastern Terai districts(aOR=1.37, 95%CI: 1.11-1.70), other Eastern Hill districts (aOR= 1.68; 95%CI: 1.29-2.20), diagnosis of schizophrenia and related disorders (aOR=4.01, 95%CI: 1.34-12.0), having medical co-morbidity (aOR= 3.47; 95%CI: 2.49-4.84) and being readmitted (aOR= 1.23, 95%CI: 1.03-1.47). Conclusions:There was significant association of length of stay with gender, age, address, occupation, diagnosis and readmission. _______________________________________________________________________________________

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“…G is the Gini coeffi cient, y t is the percentage of the total number of years of education in the I population that has served in the region. The n in this article is divided into 5 levels (Packness, et al, 2017;Mok, 2015). Among them, one refers to illiteracy, the number of years of education 0.…”

Section: Figure 1 the Division Of Gini Coeffi Cient Section Of Worldmentioning

confidence: 99%

Education Equity in Special Education Transfer Payments to Low-income Groups

Shao¹,

Liu²,

Ji³

2019

RCIS

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Under the "Chinese-style" decentralization system, transfer payments have not only become the major source of funding for most local governments to provide public services, but also become important policy tools for higher levels of government. Education transfer payment is an important institutional arrangement to narrow the educational investment gap and promote education equity. Therefore, the establishment of a standardized special transfer payment system for compulsory education is the guarantee for promoting education fairness for low-income groups. The Gini coeffi cient of education not only refl ects the role of education in promoting economic growth and social development, but also an important indicator of the fairness of education. The Gini coeffi cient of education in various provinces in China shows that there is a clear gap between our country and the developed countries in education. There is also a serious gap between high-income and low-income groups. This paper uses the non-recursive structural equation method as the background to reform the rural compulsory education funding guarantee mechanism. It combines the Gini coeffi cient of education and the data of 423 counties in fi ve provinces in central China in 2017. The results show that the embedding of "prize excellence" mechanism in the system of compulsory education transfer payment can inspire the government to shift resources toward basic education. In this way, a fair and effi cient special transfer payment system can be established to ensure the fairness of education for low-income groups.

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Impact of socioeconomic position and distance on mental health care utilization: a nationwide Danish follow-up study

Cited by 52 publications

References 31 publications

Morbidity Pattern in Psychiatric Ward in a Tertiary Care Hospital in Eastern Nepal

Morbidity Pattern in Psychiatric Ward in a Tertiary Care Hospital in Eastern Nepal

Length of Stay of Psychiatric Admissions in a Tertiary Care Hospital

Education Equity in Special Education Transfer Payments to Low-income Groups

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