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Accepted (AM)Open Access (License Unspecified), Open
Journal article
A content analysis from a US statewide survey of memorable healthcare decisions for individuals with intellectual disability
Journal of intellectual & developmental disability, v 34(3)
2009
PMID: 19681006
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Background Little is known about surrogate healthcare decision-making for individuals with intellectual disability (ID). This study examined healthcare decision-making by residential-agency directors to learn their process and the extent to which the individual is included.
Method Content analysis of qualitative data from a mailed survey of residential-agency directors in a large US northeastern state.
Results Narrative comments of 102 directors (65% of respondents) are reported. Three themes emerged: (a) Identifying someone else's "best interest" is challenging; (b) Perceptions of the healthcare community, especially related to quality of life, can influence care provided; and (c) Surrogate decision-making is a team effort.
Conclusions With knowledge of how decisions are made, the healthcare community can better interact with the complex array of service agencies and persons who determine care for this vulnerable population.
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Details
- Title
- A content analysis from a US statewide survey of memorable healthcare decisions for individuals with intellectual disability
- Creators
- Kathleen M Fisher - Drexel UniversityMichael J Green - Pennsylvania State UniversityFredrick K Orkin - Pennsylvania State UniversityVernon M Chinchilli - 2The Pennsylvania State University, USA
- Publication Details
- Journal of intellectual & developmental disability, v 34(3)
- Publisher
- Informa UK Ltd
- Number of pages
- 8
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Doctoral Nursing
- Web of Science ID
- WOS:000268954800007
- Scopus ID
- 2-s2.0-69049084823
- Other Identifier
- 991014878236504721
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Education, Special
- Rehabilitation