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    Pain And Mood Assessment in Cancer Patients In A Tertiary Care Hospital

    Pradyuman Singh Rajput, Dhruv Patel, Neel Modi, Aakash Jirafe, Dr Steffi John, PharmD

    Published: 2022-05-21 DOI: 10.17504/protocols.io.261gen9dog47/v1
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    Abstract

    Cancer Patients often suffer from mixed aetiologies of pain referred to as cancer pain.

    The study was conducted to assess various cause of pain with it's effect upon the mood of the patient.

    Pain was measured quantitatively in the study using Visual Analogue Scale(VAS) for Pain and qualitatively using Edmonton Classification System for Cancer Pain (ECS-CP). While Mood for the patients were quantitatively assessed using Visual Analog Mood Scales (VAMS) which incorporates eight various moods generally observed in the population. The study focused upon the occurrence of pain in the cancer population while measuring the mood in the patients and finding correlation between both outcomes.

    Before start

    One must know in depth about the scales used in the study:

    1. VAS Pain

    2. ECS-CP

    3. VAMS

    The investigator should also know about the patient's condition using Medical Records of the patient for effective results and responses.

    Steps

    PRIOR REQUIREMENTS

    1.

    Equipping Investigator with Pre-Requisite counselling with the patient.

    2.

    Investigator should know about the patient using Medication Records and attending nurse.

    Data Collection

    3.

    Collecting Demographics and Patient Vitals from Patient file.

    4.

    Description of Cancer Diagnostics, Mode of treatment and pain management used

    5.

    VAS Pain Assessment

    6.

    Assessing Site, Onset and Duration of Pain with Comorbidities, exacerbating factors and relieving factors for pain.

    7.

    ECS-CP Assessment

    8.

    VMAS Assessment

    Data Entry

    9.

    Collecting the data on a structured dataset in SPSS

    10.

    Finishing Collection based upon the effective Sample Size.

    Data Analysis & Interpretation

    11.

    Performing Descriptive Statistical Tests using SPSS

    12.

    Interpretation of Data

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