Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Article . 2019
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Article . 2019
License: CC BY
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Article . 2019
License: CC BY
Data sources: Datacite
versions View all 2 versions
addClaim

ASSESSMENT OF SOCIAL AND DEMOGRAPHIC TRAITS AND DETERMIANTION OF DISEASE PATTERN AMONG HOSPITALIZED PATIENTS

Authors: Dr Hafiz Muhammad Umar Amin, Dr Farhana Rashid, Dr Farhat Ullah Khan,;

ASSESSMENT OF SOCIAL AND DEMOGRAPHIC TRAITS AND DETERMIANTION OF DISEASE PATTERN AMONG HOSPITALIZED PATIENTS

Abstract

Background and Objective: There is an important role of the Inpatient therapy of the psychiatric patients for their better administration. There is very low amount of the beds available for the patients suffering from mental abnormalities in our country Pakistan. Some of the patients are in need of long stay in the hospital. The medical institutes are try to meet this need in our country. This research work aimed to assess the social and economic traits as well as to determine the pattern of disease with the therapeutic procedures in the hospitalized patients. Methodology: The data about the DSM-IV identification, social and economic identification, whether they obtained pharmacotherapy or ECT, total period of the stay of the patients during hospitalization at the Psychiatry Department of the Mayo Hospital Lahore from January 2015 to November 2018 retrieved retroactively. All the information transferred to the collection form for data of the patients. Microsoft excel software was in use for the assessment of the collected information. Results: In the duration of this research work, a sum of total sixteen hundred patients, 49.0% (n: 294) females and 51.0% (n: 306) males got admission to receive the treatment. Average age of the patients was 36.45 ±12.74. Regarding marital status, the patients with marriage and regarding the distribution of the occupation, there was dominancy of the housewives. Average period of the hospitalized stay of the patients in the clinic was 31.90 ± 27.30 days. In terms of diagnosis by the DSM-IV-R of patients, the major frequent diagnosis was disorder of mood in 33.0% (n: 198) patients, psychotic disorder present in 25.60% (n: 154) patients and disorder of anxiety in 19.0% (n: 114). Conclusion: To evaluate the health institution’s functionality and effectiveness of the provided services, it is necessary to collect, assess and interpret the data constantly and thoroughly. It supports to display the condition of the institution of the health care and it is also beneficial for the formulation of the policies in the healthcare field in whole country. KEY WORDS: Psychiatric Patients, Health Care, Pharmacotherapy, Traits, Therapeutic, Disorder.

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
    OpenAIRE UsageCounts
    Usage byUsageCounts
    visibility views 4
    download downloads 2
  • 4
    views
    2
    downloads
    Powered byOpenAIRE UsageCounts
Powered by OpenAIRE graph
Found an issue? Give us feedback
visibility
download
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
0
Average
Average
Average
4
2
Green
Related to Research communities