| Title |
Physical factors that influence patients’ privacy perception toward a psychiatric behavioral monitoring system: a qualitative study
|
|---|---|
| Published in |
Neuropsychiatric Disease and Treatment, December 2017
|
| DOI | 10.2147/ndt.s115261 |
| Pubmed ID | |
| Authors |
Nasriah Zakaria, Rusyaizila Ramli |
| Abstract |
Psychiatric patients have privacy concerns when it comes to technology intervention in the hospital setting. In this paper, we present scenarios for psychiatric behavioral monitoring systems to be placed in psychiatric wards to understand patients' perception regarding privacy. Psychiatric behavioral monitoring refers to systems that are deemed useful in measuring clinical outcomes, but little research has been done on how these systems will impact patients' privacy. We conducted a case study in one teaching hospital in Malaysia. We investigated the physical factors that influence patients' perceived privacy with respect to a psychiatric monitoring system. The eight physical factors identified from the information system development privacy model, a comprehensive model for designing a privacy-sensitive information system, were adapted in this research. Scenario-based interviews were conducted with 25 patients in a psychiatric ward for 3 months. Psychiatric patients were able to share how physical factors influence their perception of privacy. Results show how patients responded to each of these dimensions in the context of a psychiatric behavioral monitoring system. Some subfactors under physical privacy are modified to reflect the data obtained in the interviews. We were able to capture the different physical factors that influence patient privacy. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 20 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 5 | 25% |
| Student > Bachelor | 3 | 15% |
| Researcher | 2 | 10% |
| Professor > Associate Professor | 2 | 10% |
| Student > Ph. D. Student | 1 | 5% |
| Other | 2 | 10% |
| Unknown | 5 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 5 | 25% |
| Computer Science | 2 | 10% |
| Business, Management and Accounting | 1 | 5% |
| Psychology | 1 | 5% |
| Social Sciences | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 9 | 45% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 02 January 2018.
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#15,097,241
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Outputs from Neuropsychiatric Disease and Treatment
#1,408
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#228,943
of 444,941 outputs
Outputs of similar age from Neuropsychiatric Disease and Treatment
#35
of 67 outputs
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