Development of the Perioperative Privacy Scale: A Validity and Reliability Study

Yayla, Ayşegül; İlgin, Vesile Eskici; Özlü, Zeynep Karaman

doi:10.1016/j.jopan.2021.06.005

Cited by 5 publications

(3 citation statements)

References 11 publications

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“…The Perioperative Privacy Scale was developed by Yayla et al ( 22 ) in Turkey to assess patients’ privacy during the perioperative period. In 2023 Tan et al ( 23 ).…”

Section: Instrumentsmentioning

confidence: 99%

Analysis of patients’ privacy and associated factors in the perioperative period

Tan,

Li,

Wang

2023

Front. Med.

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BackgroundHealthcare professionals recognize how to protect patient privacy in order to effectively reduce the occurrence of conflict between the two parties. Therefore, understanding the protection of patient privacy during the perioperative period and the relevant factors affecting privacy is essential to improving healthcare delivery.MethodsThis was a cross-sectional survey of a convenience sample of 400 perioperative patients. General demographic information, the perioperative privacy scale (PPS), and the Amsterdam preoperative anxiety and information scale (APAIS) were used for the survey. And factors affecting patient privacy were investigated by ANOVA or t-test analysis, Pearson correlation analysis, and linear regression models.ResultsThis study found that perioperative patient privacy satisfaction scores were (53.51 ± 12.54). The results of the univariate analysis showed that factors affecting privacy satisfaction included gender, age, and the number of surgeries (p < 0.05). Preoperative anxiety and Information Needs Scale was negatively associated with the perioperative patient privacy satisfaction (r = −0.807, p < 0.01). Further analysis was performed using linear regression models to finally obtain five factors affecting perioperative patient privacy: gender, age, anesthesia modality, the number of surgeries, and the Amsterdam preoperative anxiety and information.ConclusionHealthcare professionals working in healthcare facilities need to be aware of the sensitivity of different populations to privacy when protecting patient privacy. Patients’ preoperative anxiety and information need status affect privacy satisfaction. This will mean that healthcare professionals will be able to identify key privacy concerns early and take appropriate action.

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“…The Perioperative Privacy Scale was developed by Yayla et al ( 22 ) in Turkey to assess patients’ privacy during the perioperative period. In 2023 Tan et al ( 23 ).…”

Section: Instrumentsmentioning

confidence: 99%

Analysis of patients’ privacy and associated factors in the perioperative period

Tan,

Li,

Wang

2023

Front. Med.

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“…Patient privacy can be defined as the right of individuals to hide/disclose his health related data from anyone, and control this the data no matter who has it, while disclosing for healthcare, treatment or other reasons [3,4].…”

Section: Introductionmentioning

confidence: 99%

Patient Privacy Protection Maturity Evaluation Framework

GÜRSEL,

BAYER,

TURUNÇ

et al. 2024

Preprint

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Background: With the rapid improvement of the healthcare technologies, security and privacy of the most sensitive data, health data is at risk. Protecting patient privacy has many components, even though the data are in electronic format. Although patient privacy is thoroughly discussed in the literature, there is no study presenting all components of patient privacy protection. Methods: In this study, a complete evaluation framework is presented, as an evaluation tool, an inventory is developed, reliability and validity of the inventory is examined. Study is conducted in three phases: Conceptual framework development, inventory development and an evaluation case study. In the evaluation, fuzzy conjoint analysis is employed to handle the subjectivity and am-biguity. As the result of the evaluation, the institution is given a patient privacy protection ma-turity grade, between 1 and 5, where 1 is the worst and 5 is the best grade. Results: In the case study, XXX’s biggest hospital, employing 800 nurses, is evaluated. Half of the nurses, 400, have partici-pated in the study. Literature tells healthcare institutions do not invest enough to protect patient privacy, and the study results support this finding. Institution’s maturity grade resulted as level 2, which is bad. Conclusion: The study measures he privacy maturity with many evaluation com-ponents. Result of the evaluation explains to the patients and the public if their data is safe or not. With this maturity grade, patients have an idea about which institution to choose, public can conclude the institutions’ reliability in terms of patient privacy.

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“…[19] With this objective in mind, a variety of scales have been developed to measure the general impact of the environment, direct privacy education, and enhanced privacy awareness. [20][21][22][23][24][25][26] Of these scales, we have used the privacy awareness scale (PAS), which originated in Japan; the Turkish version was developed in 2019. The reason for using this scale is that it has both validity and reliability compared to other scales and has been applied specifically to healthcare professionals and students.…”

Section: Introductionmentioning

confidence: 99%

Privacy awareness among healthcare professionals in intensive care unit: A multicenter, cross-sectional study

et al. 2023

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This multicenter, cross-sectional study aimed to determine and examine the privacy awareness and patient rights education of healthcare professionals working in intensive care units (ICUs). The primary purpose of this study was to determine the privacy awareness of healthcare professionals working in the ICU. In addition, the secondary aim was to examine the relationship between patient rights education and awareness scores, as well as to question the need for privacy awareness education. The study population consisted of ICU physicians, nurses, and allied health personnel working in university hospitals, training and research hospitals, state hospitals, and private hospitals in Turkey. The data were collected through a questionnaire prepared by the researchers, including a question set about sociodemographics, a question about patient rights education, and the privacy awareness scale (PAS) scores using online Google Forms. In the results of the study conducted among 569 participants, the mean total PAS score was 38.31 ± 2.54. The PAS score was significantly different according to the occupation. The PAS scores of the nurses were higher than physicians and allied health personnel. The PAS scores differed according to whether the participants had received patient rights education. This study found that nurses were the group with the highest PAS scores among healthcare professionals. In addition, the PAS scores of nurses working in private and training and research hospitals were higher than those of other hospital employees. On the other hand, the lowest scores belonged to university hospitals and receiving patient rights education increased the PAS score of the nurses. This study showed that all enrolled healthcare professionals required in-service training to gain privacy awareness.

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Development of the Perioperative Privacy Scale: A Validity and Reliability Study

Cited by 5 publications

References 11 publications

Analysis of patients’ privacy and associated factors in the perioperative period

Analysis of patients’ privacy and associated factors in the perioperative period

Patient Privacy Protection Maturity Evaluation Framework

Privacy awareness among healthcare professionals in intensive care unit: A multicenter, cross-sectional study

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