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Evaluation of postgraduate family medicine trainee's knowledge and attitude following an online Educational Module in Palliative Care: A descriptive study.
Jabeen, Ismat; Usman, Tayyabah; Asad, Munazza; Qureshi, Asra; Waqar, Muhammad Atif.
Afiliação
  • Jabeen I; Ismat Jabeen, MBBS, FCPS, MRCGP(Int). Assistant Professor, Department of Family Medicine, Aga Khan University, Karachi, Pakistan.
  • Usman T; Tayyabah Usman, MBBS Postgraduate Family Medicine Trainee, Year IV Aga Khan University, Karachi, Pakistan.
  • Asad M; Munazza Asad Postgraduate Family Medicine Trainee, Year IV Aga Khan University, Karachi, Pakistan.
  • Qureshi A; Asra Qureshi, Pharm-D, MSc Epidemiology & Biostatistics. Research Instructor, Aga Khan University, Karachi, Pakistan.
  • Waqar MA; Muhammad Atif Waqar, MBBS, MD. Assistant Professor, Department of Oncology Aga Khan University, Karachi, Pakistan.
Pak J Med Sci ; 39(4): 1052-1056, 2023.
Article em En | MEDLINE | ID: mdl-37492310
ABSTRACT

Objectives:

To identify improvement in knowledge and attitude of Family Medicine (FM) postgraduate trainees (PGT) towards Palliative care (PC) in order to provide effective care to the patients with advanced disease.

Methods:

A cross-sectional study was conducted over eight weeks from 1st July till 3rd September 2021 at Family Medicine Department, Aga Khan University Hospital (AKUH). PGT who willingly signed the written informed consent were enrolled in the study. Descriptive analysis, frequencies, proportions and thematic approach were used for data analysis. Data was analyzed using SPSS version 23.

Results:

FM-PGT were included in the study. Improvement in knowledge was observed in posttest scores along with positive change in their attitude and improved perception of level of confidence for managing PC patients. Overall assessment of PCM was positive.

Conclusion:

This PCM seems to be a useful tool for PC training in postgraduate medical education (PGME). This highlights some useful aspects for future applications in PC education and training.
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Observational_studies / Prognostic_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Observational_studies / Prognostic_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article