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This study was approved by the Medical Ethics Committee of Baoshan Branch, Renji Hospital, Shanghai Jiao Tong University School of Medicine under approval number 2024-B-027. The survey was conducted in accordance with institutional ethical requirements for anonymous questionnaire research. Before accessing the questionnaire, all participants viewed an electronic information page describing the study purpose, target population, voluntary nature of participation, expected completion time, confidentiality measures, and the right to withdraw at any time before submission. Only participants who selected the electronic consent option were allowed to proceed to the formal questionnaire. No directly identifying information, including participant name, employee number, telephone number, or personal identification number, was collected at any stage of the survey.
Study Design and Setting
This was a single-center, cross-sectional questionnaire study conducted in February 2024 at the Baoshan Branch of Renji Hospital, Shanghai Jiao Tong University School of Medicine, a secondary hospital in Shanghai, China. The study population consisted of nurses working in clinical departments of the hospital. Participants were recruited from the hospital workforce, and the findings should be interpreted within this institutional setting.
Participants and Sampling
A convenience sampling strategy was used to recruit eligible nurses from clinical departments within the study hospital. Participants were eligible if they were registered nurses employed by the hospital during the survey period, held a valid nursing qualification certificate, were actively engaged in clinical nursing work, and were able to complete the questionnaire independently using a smartphone or computer. Nurses were excluded if they were on leave during the survey period, temporarily absent from routine clinical work because of external training or long-term rotation, or unable to complete the questionnaire independently. Questionnaires were further excluded during data cleaning if they met predefined invalid-response criteria or were identified as duplicate submissions.
Survey Instrument
Data were collected using the Questionnaire of Clinical Nurses’ Knowledge, Attitudes, and Practices in Palliative Care developed by Zhao et al.6. The instrument contains 32 items distributed across three domains: 10 knowledge items, 10 attitude items, and 12 practice items. All items were scored on a 5-point Likert scale. For the knowledge domain, responses ranged from 1 = not at all familiar to 5 = very familiar. For the attitude domain, responses ranged from 1 = strongly disagree to 5 = strongly agree. For the practice domain, responses ranged from 1 = never to 5 = always. Higher scores indicated better palliative care knowledge, more positive attitudes, and stronger self-reported practice performance.
To facilitate comparison across domains with different numbers of items, raw scores were converted into standardized scores using the formula: standardized score = (actual score / total possible score) x 100. According to the scoring criteria used in the original instrument, a standardized score of 60 or above was considered acceptable, and a score of 80 or above was considered good. In addition to the reliability values reported in the original scale development study, internal consistency reliability was recalculated for the current sample and reported as Cronbach’s α for the total scale and each subscale.
Survey Administration
The questionnaire was created and distributed through an online survey platform. Before formal distribution, the research team checked item wording, response options, mandatory-response settings, mobile display compatibility, and data export format to ensure that all items were displayed correctly and could be submitted without technical interruption. After approval from the nursing administration, the survey link and quick-response code were distributed to head nurses in each participating department, who then forwarded the survey to eligible nurses through official departmental communication channels. The questionnaire remained open for a fixed survey window, and participants were instructed to complete it independently during the study period.
To reduce duplicate responses, the study did not rely solely on internet protocol restriction, because multiple nurses within the same hospital could access the survey through a shared institutional network. Instead, duplicate control was implemented through a combination of device-based submission restriction within the survey system, submission record screening, and post hoc data verification. The survey was configured to limit repeated submission from the same device where technically feasible. After data export, the research team screened questionnaires for repeated response patterns, duplicate demographic combinations, and suspiciously similar submission records, and cross-checked the final number of valid questionnaires against the departmental distribution roster. This approach was used to minimize duplicate inclusion while avoiding erroneous exclusion caused by shared hospital network addresses.
All questionnaire items were set as mandatory to prevent item-level missing data. Participants who did not provide consent were unable to enter the questionnaire interface. The completion burden was kept low enough for routine clinical staff to finish the survey within a short period while preserving full item coverage.
Data Quality Control
A predefined data-quality procedure was applied before statistical analysis. First, all returned questionnaires were exported from the survey system into a structured database. Second, records were screened for completeness. Because all items were mandatory, questionnaires with system-level missing values were removed automatically before final export. Third, questionnaires were examined for logical validity and response quality. Responses were excluded if they showed clear evidence of invalid completion, including uniform answers across nearly all items, completion time shorter than the minimum threshold defined by the research team for credible reading and response, or internally contradictory demographic information. Fourth, duplicate or near-duplicate records identified through system logs and manual screening were removed, with only one record retained when duplication was confirmed.
A total of 537 questionnaires were initially returned. After application of the quality-control criteria, 520 questionnaires were retained for final analysis, yielding an effective response rate of 96.83%. The Results section reports the exact number and percentage of excluded records for each exclusion category, including duplicate submissions, excessively short completion time, uniform response patterns, and logical inconsistencies.
Outcome Measures
The primary study outcomes were the raw and standardized scores for the three palliative care domains: knowledge, attitudes, and practices. Secondary analytical outcomes included differences in domain scores across demographic and professional subgroups, correlations among the three domain scores, and identification of independent factors associated with each domain. Demographic and occupational variables considered in the analysis included age, sex, marital status, education level, years of service, professional title, prior caregiving experience, and participation in palliative care training, together with any additional variables collected in the questionnaire.
Statistical Analysis
Data were analyzed using statistical software after completion of data cleaning. All variables were first checked for coding accuracy and distributional characteristics. Continuous variables approximating a normal distribution were expressed as mean ± standard deviation, and categorical variables were summarized as frequency and percentage. For two-group comparisons, independent-samples t tests were used. For comparisons involving three or more groups, one-way analysis of variance was performed. When the overall test result was statistically significant, post hoc comparisons were conducted and reported in the Results section.
Associations among knowledge, attitude, and practice scores were evaluated using Pearson correlation analysis. To identify independent factors associated with each outcome domain, multivariable linear regression analysis was performed. Variables showing statistical significance in univariate analysis, together with variables considered clinically or professionally relevant, were entered into the multivariable model. Before model interpretation, regression assumptions were checked, including linearity, independence, homoscedasticity, normality of residuals, and multicollinearity. Regression coefficients, standard errors, confidence intervals, and P values were reported. A two-sided P value < 0.05 was considered statistically significant throughout.