Interprofessioal collaboration among Speech Language Pathologists and Nurses in Acute Care in Pakistan

To find out inter-professional collaboration among speech-language pathologists and nurses in acute care in Pakistan. This was a cross sectional study which was conducted in all government and private hospitals of Islamabad and Rawalpindi having facility of ICUs after taking consent from authorities...

Full description

Saved in:
Bibliographic Details
Published in:Pakistan journal of medical sciences 2021-04, Vol.37 (2), p.489-493
Main Authors: Ch, Fariha Ambreen, Babur, Muhammad Naveed, Rashid, Sajid, Liaqat, Maria
Format: Article
Language:English
Subjects:
Care and treatment
Clinical decision making
Clinical outcomes
Collaboration
Communication
Cooperation
Decision making
Evidence-based medicine
Evidence-based nursing
Independent sample
Knowledge
Language
Likert scale
Nurses
Original
Patients
Professional relationships
Professionals
Questionnaires
Speech
Speech therapists
Teams
Citations: Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:To find out inter-professional collaboration among speech-language pathologists and nurses in acute care in Pakistan. This was a cross sectional study which was conducted in all government and private hospitals of Islamabad and Rawalpindi having facility of ICUs after taking consent from authorities. The duration of study was six months from October 2018 to February 2019. A total number of 350 participants (200 nurses, 150 speech language pathologists) working in ICU of different private and government hospitals of Pakistan were included in the study. Standardized questionnaire of ": assessment of inter-professioal collaboration scale": (AITCS) was circulated to nurses and speech language pathologists (SLPS) working in ICU with its subscale's partnership, coordination, cooperation and shared decision making on a 5-point likert scale. Data was analyzed using SPSS version 21.Measure of mean was obtained by independent sample t-test. P- Value less than 0.05 was considered as significant. Statistical analysis showed measures of mean differences obtained by t-test revealed significant differences at p
ISSN:1682-024X
1681-715X
DOI:10.12669/pjms.37.2.3545