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The Teaching of Nursing by Realistic Simulation for Palliative Care

Use of Realistic Simulation for the teaching of palliative care in nursing: a randomized study

Status
Active, not recruiting
Phases
Unknown
Study type
Interventional
Source
REBEC
Registry ID
RBR-6n3mw9
Enrollment
Unknown
Registered
2017-10-26
Start date
2017-03-15
Completion date
Unknown
Last updated
2025-10-27

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Palliative Care

Interventions

In the INTERVENTION GROUP (GI): At Moment 1, the 11 students participating in this group initially performed a pre-test of cognitive assessment containing 10 statements which were judged in agreement
Behavioural
I02.903.847

Sponsors

Faculdade de Ciências Médicas e da Saúde Juiz de Fora
Lead Sponsor
Faculdade de Ciências Médicas e da Saúde Juiz de Fora
Collaborator

Eligibility

Age
18 Years to 65 Years

Inclusion criteria

Inclusion criteria: Nursing students volunteers; Regularly enrolled in the fourth, fifth, sixth and seventh periods of the institution's nursing course; Both genders and over 18 years of age.

Exclusion criteria

Exclusion criteria: Nursing course students who are absent; Licensed in the period of data collection; With irregularity in the enrollment and under 18 years.

Design outcomes

Primary

MeasureTime frame
Expected outcome: Students who attend the lecture and then participate in the realistic simulation activity will have higher cognitive performance when evaluated in relation to palliative care. The study data will be tabulated through the Statistical Package for Social Sciences (SPSS) version 19 and the descriptive statistics will be used to present the results. Inferential statistics will be performed in which the intervention and control groups will be compared in the baseline: - demographic characteristics: age, gender, ethnicity to the scores present in each statement of cognitive evaluation (pretest) in order to see if there are differences of cognitive ability between the groups. For this, chi-square tests (categorical variables) and t-tests for independent measurements (continuous variables) will be applied. Subsequently, the groups (control and intervention) will be compared to each other regarding the score in the post-test (cognitive assessment). It will be adopted p <0.05 as significant and the effect sizes will be checked for each test. ;Outcome achieved: Descriptive statistics with the characteristics of the population in relation to gender, ethnicity and course periods are presented in table 1: Table 1: Demographic characterization of groups with simulation and without simulation Simulation Sex Yes (%) No (%) Male 2 (18.2) 4 (33.3) Female 9 (81.8) 8 (66.7) Ethnicity White 6 (54.5) 6 (50.0) Black 1 (9.1) 5 (41.7) Parda 4 (36.4) 1 (8.3) Periods 4 2 (18.2) 3 (25.0) 5 (27.3) 4 (33.3) 6 (27.3) 3 (25.0) 7 (3) (27.3) 2 (16.7) The participants' ages ranged from 19 to 44 years, with a mean of 26.2 ± 6.7 years with confidence interval (CI) = [23.3; 29,1]. There was no statistical difference (p = 0.270) in these values ??and between the periods that participated or not in the simulation (0.919). The data related to the mean precision in the pre-test with post-test presented statistical significance (p = 0.029). The comparison between the means of correction with

Secondary

MeasureTime frame
Secondary outcomes are not expected

Countries

Brazil

Contacts

Public ContactMargareth Castro

Faculdade de Ciências Médicas e da Saúde Juiz de Fora

maghms@terra.com.br55(32)99819-3700

Outcome results

None listed

Source: REBEC (via WHO ICTRP)