Aim: To examine variables affecting nurse willingness to report for work in the event of an earthquake in Israel and whether this can be predicted through the Theory of Self-Efficacy.
Background: The nursing profession has a major role in preparing for earthquakes. Nurse willingness to report to work in the event of an earthquake has never before been examined.
Method: Self-administered questionnaires were distributed among a convenience sample of 400 nurses and nursing students in Israel during January-April 2012.
Results: High willingness to report to work in the event of an earthquake was declared by 57% of respondents. High perceived self-efficacy, level of knowledge and experience predict willingness to report to work in the event of an earthquake. Multidisciplinary collaboration and support was also cited as a meaningful factor.
Conclusion: Perceived self-efficacy, level of knowledge, experience and the support of a multidisciplinary staff affect nurse willingness to report to work in the event of an earthquake.
Implications For Nursing Management: Nurse managers can identify factors that increase nurse willingness to report to work in the event of an earthquake and consequently develop strategies for more efficient management of their nursing workforce.
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http://dx.doi.org/10.1111/jonm.12058 | DOI Listing |
Heliyon
July 2024
Deakin Health Economics, Deakin University, Melbourne, Victoria, Australia.
Current research into the digital healthcare landscape reveals a significant gap in understanding the perspectives of consumers with lived health experiences on sharing their health data for research purposes. Despite the substantial value that such shared information can bring to healthcare research, policy development, and system improvement, insights into the attitudes and willingness of these consumers towards data sharing remain sparse. This study seeks to fill this gap, exploring the unique views of these individuals and assessing the potential benefits their data sharing could contribute to healthcare.
View Article and Find Full Text PDFFuture Oncol
January 2025
Department of Oncology, University of Turin, Division of Medical Oncology, Ordine Mauriziano Hospital, Turin, Italy.
Aims: To explore physician-reported knowledge, use, and perceptions of genetic testing for advanced ovarian cancer management.
Materials & Methods: Gynecology/oncology specialists ( = 390) in the US, Europe, Canada, Japan, and Australia completed an online survey spanning March 2021 to April 2022.
Results: Physician-reported breast cancer gene mutation (BRCAm) testing rates increased over the 2 years before the survey; most patients underwent testing in the preceding 6 months.
BMC Med Educ
January 2025
Department of Psychiatry, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, 3 East Qingchun Road, Hangzhou, Zhejiang, 310016, P.R. China.
Background/aim: Psychotherapy training for medical students and residents in China is still in development. To establish an appropriate training program, understanding medical students' and residents' current knowledge and attitudes toward psychotherapy is needed.
Methods: One hundred and forty-nine participants, including medical students, residents, and other health providers (HCPs), self-reported their understanding of 18 types of psychotherapy, negative attitude towards cognitive behavioral therapy (CBT), and their attitude towards psychological interventions and counseling in primary care (APIC-PC) through an online survey.
BMC Public Health
January 2025
Medical School of Nantong University, Nantong, 226001, Jiangsu, China.
Background: Ensuring equal access to affordable, high-quality, and satisfied healthcare for cancer patients is a challenge worldwide. Our study aimed to investigate preferences for public health insurance coverage of new anticancer drugs among non-small cell lung cancer (NSCLC) patients in China.
Methods: We identified six attributes of new anticancer drugs and adopted a Bayesian-efficient design to generate choice scenarios for a discrete choice experiment (DCE).
Appl Clin Inform
January 2025
Radiotherapy, CHU de Liège, Liège, Belgium.
Background: The "Cancer Risk Calculator" mobile application aims to inform patients about their personal risks of cancer and their risk factors influencingsaid risks. The present analysis examines the responses to a questionnaire submitted by oncology patients treated with radiotherapy or their family members.
Objective: The primary objective was to determine the effectof the app on the user's awareness and potential habit changes related to cancer risk.
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