View in EDS PDF Full Text

Researching "Good Death" in a Hong Kong Palliative Care Program: A Clinical Data-Mining Study.

Saved in:
Bibliographic Details
Title: Researching "Good Death" in a Hong Kong Palliative Care Program: A Clinical Data-Mining Study.
Authors: Chan, Wallace C. H.1, Epstein, I.2
Source: Omega: Journal of Death & Dying. 2011/2012, Vol. 64 Issue 3, p203-222. 20p. 3 Charts.
Subject Terms: *Quality of life, *Family relations, *Retrospective studies, Death, Family medicine, Nursing assessment, Nursing specialties, Palliative treatment, Probability theory, Psychology of the terminally ill, U-statistics, Data mining, Hospice nurses, Descriptive statistics
Geographic Terms: Hong Kong (China)
Abstract: This study operationalizes and assesses the percentage of "good deaths" achieved among Chinese cancer patients in a palliative care program, the profile of these patients, the relationship between patients with a good death and psychosocial factors, and the differences in background factors, and physical and psychosocial conditions between patients who experienced a good death and those who did not. Clinical data mining was the research method used. Records of deceased cancer patients between 2003 and 2005 in a palliative care unit were the sole data source. Good death was operationally defined as the patient's record indicating no pain (physical) or anxiety (psychological), and having open and honest communication with family (social) in the final assessment by the Support Team Assessment Schedule (STAS) just before death. Using these criteria, about one-fifth of patients (21.5%; 137 out of 638) experienced a good death. Those with a good death were significantly older and were in palliative care longer. Their records also indicated lower levels of constipation, insomnia, oral discomfort, and family anxiety at their first and at their final STAS assessments. Good death was positively associated with recorded indicators of fullness in life, caregivers' acceptance and support, and negatively with reported feelings of upset about changes in the course of their illness. The results heighten awareness among social workers and other healthcare professionals about the value of good death in patients in palliative care. This empirically-based awareness can foster professionals' ability to set intervention objectives to help patients in palliative care achieve this universally accepted goal. [ABSTRACT FROM AUTHOR]
Copyright of Omega: Journal of Death & Dying is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Education Research Complete
FullText Links:
  – Type: pdflink
Text:
  Availability: 0
Header DbId: ehh
DbLabel: Education Research Complete
An: 70230951
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Researching "Good Death" in a Hong Kong Palliative Care Program: A Clinical Data-Mining Study.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Chan%2C+Wallace+C%2E+H%2E%22">Chan, Wallace C. H.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Epstein%2C+I%2E%22">Epstein, I.</searchLink><relatesTo>2</relatesTo>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Omega%3A+Journal+of+Death+%26+Dying%22">Omega: Journal of Death & Dying</searchLink>. 2011/2012, Vol. 64 Issue 3, p203-222. 20p. 3 Charts.
– Name: Subject
  Label: Subject Terms
  Group: Su
  Data: *<searchLink fieldCode="DE" term="%22Quality+of+life%22">Quality of life</searchLink><br />*<searchLink fieldCode="DE" term="%22Family+relations%22">Family relations</searchLink><br />*<searchLink fieldCode="DE" term="%22Retrospective+studies%22">Retrospective studies</searchLink><br /><searchLink fieldCode="DE" term="%22Death%22">Death</searchLink><br /><searchLink fieldCode="DE" term="%22Family+medicine%22">Family medicine</searchLink><br /><searchLink fieldCode="DE" term="%22Nursing+assessment%22">Nursing assessment</searchLink><br /><searchLink fieldCode="DE" term="%22Nursing+specialties%22">Nursing specialties</searchLink><br /><searchLink fieldCode="DE" term="%22Palliative+treatment%22">Palliative treatment</searchLink><br /><searchLink fieldCode="DE" term="%22Probability+theory%22">Probability theory</searchLink><br /><searchLink fieldCode="DE" term="%22Psychology+of+the+terminally+ill%22">Psychology of the terminally ill</searchLink><br /><searchLink fieldCode="DE" term="%22U-statistics%22">U-statistics</searchLink><br /><searchLink fieldCode="DE" term="%22Data+mining%22">Data mining</searchLink><br /><searchLink fieldCode="DE" term="%22Hospice+nurses%22">Hospice nurses</searchLink><br /><searchLink fieldCode="DE" term="%22Descriptive+statistics%22">Descriptive statistics</searchLink>
– Name: SubjectGeographic
  Label: Geographic Terms
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Hong+Kong+%28China%29%22">Hong Kong (China)</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: This study operationalizes and assesses the percentage of "good deaths" achieved among Chinese cancer patients in a palliative care program, the profile of these patients, the relationship between patients with a good death and psychosocial factors, and the differences in background factors, and physical and psychosocial conditions between patients who experienced a good death and those who did not. Clinical data mining was the research method used. Records of deceased cancer patients between 2003 and 2005 in a palliative care unit were the sole data source. Good death was operationally defined as the patient's record indicating no pain (physical) or anxiety (psychological), and having open and honest communication with family (social) in the final assessment by the Support Team Assessment Schedule (STAS) just before death. Using these criteria, about one-fifth of patients (21.5%; 137 out of 638) experienced a good death. Those with a good death were significantly older and were in palliative care longer. Their records also indicated lower levels of constipation, insomnia, oral discomfort, and family anxiety at their first and at their final STAS assessments. Good death was positively associated with recorded indicators of fullness in life, caregivers' acceptance and support, and negatively with reported feelings of upset about changes in the course of their illness. The results heighten awareness among social workers and other healthcare professionals about the value of good death in patients in palliative care. This empirically-based awareness can foster professionals' ability to set intervention objectives to help patients in palliative care achieve this universally accepted goal. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Omega: Journal of Death & Dying is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=ehh&AN=70230951
RecordInfo BibRecord:
  BibEntity:
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 20
        StartPage: 203
    Subjects:
      – SubjectFull: Quality of life
        Type: general
      – SubjectFull: Family relations
        Type: general
      – SubjectFull: Retrospective studies
        Type: general
      – SubjectFull: Death
        Type: general
      – SubjectFull: Family medicine
        Type: general
      – SubjectFull: Nursing assessment
        Type: general
      – SubjectFull: Nursing specialties
        Type: general
      – SubjectFull: Palliative treatment
        Type: general
      – SubjectFull: Probability theory
        Type: general
      – SubjectFull: Psychology of the terminally ill
        Type: general
      – SubjectFull: U-statistics
        Type: general
      – SubjectFull: Data mining
        Type: general
      – SubjectFull: Hospice nurses
        Type: general
      – SubjectFull: Descriptive statistics
        Type: general
      – SubjectFull: Hong Kong (China)
        Type: general
    Titles:
      – TitleFull: Researching "Good Death" in a Hong Kong Palliative Care Program: A Clinical Data-Mining Study.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Chan, Wallace C. H.
      – PersonEntity:
          Name:
            NameFull: Epstein, I.
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 11
              Text: 2011/2012
              Type: published
              Y: 2011
          Identifiers:
            – Type: issn-print
              Value: 00302228
          Numbering:
            – Type: volume
              Value: 64
            – Type: issue
              Value: 3
          Titles:
            – TitleFull: Omega: Journal of Death & Dying
              Type: main
ResultId 1